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ORCIDFei Wu 0001
Person information
- affiliation: Zhejiang University, College of Computer Science and Technology, Hangzhou, China
Other persons with the same name
- Fei Wu — disambiguation page
- Fei Wu 0002 — University of Stuttgart, Germany
- Fei Wu 0003 — Google Research, Mountain View, CA, USA (and 1 more)
- Fei Wu 0004
![[0000-0001-5498-4947]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-5498-4947")
— Nanjing University of Posts and Telecommunications, College of Automation, Nanjing, China (and 1 more) - Fei Wu 0005 — Huazhong University of Science and Technology, Key Lab of Data Storage Systems, Wuhan, China (and 1 more)
- Fei Wu 0006 — Shanghai University of Engineering Science, Shanghai, China (and 1 more)
- Fei Wu 0007 — Pennsylvania State University, College of Information Science and Technology, State College, PA, USA
- Fei Wu 0008 — Ohio State University, Columbus, OH, USA
- Fei Wu 0009 — Versailles Saint-Quentin-en-Yvelines University, France
- Fei Wu 0010 — Zhejiang University, Institute of Information and Communication Engineering, Hangzhou, China
- Fei Wu 0011 — Tsinghua University, Department of Automation, Beijing, China
- Fei Wu 0012 — CUHK, Hong Kong
- Fei Wu 0013 — University of Electronic Science and Technology of China, Chengdu, China
- Fei Wu 0014 — CAS, Institute of Remote Sensing Applications, Beijing, China
- Fei Wu 0015 — Jilin University, Changchun, China
- Fei Wu 0016 — South China University of Technology, College of Automation Science and Engineering, Guangzhou, China
- Fei Wu 0017 — Sichuan University, Chengdu, China
- Fei Wu 0018 — Zhengzhou University, School of Information Engineering, Zhengzhou, China
- Fei Wu 0019 — National Unviersity of Singapore, Department of Physics, Singapore
- Fei Wu 0020 — Beijing University of Technology, College of Metropolitan Transportation, Beijing, China
- Fei Wu 0021 — Beijing Institute of Technology, School of Automation, Beijing, China
- Fei Wu 0022 — University of Massachusetts, Boston, MA, USA
- Fei Wu 0023 — Beijing University of Chemical Technology, Beijing, China
- Fei Wu 0024 — Southeast University, School of Automation, Nanjing, China
- Fei Wu 0025 — University of Erlangen-Nuremberg, Department of Computer Science, Erlangen, Germany
- Fei Wu 0026 — ZheJiang University of Technology, College of Computer Science and Technology, HangZhou, China
Other persons with a similar name
- Wu Fei
- Bing-Fei Wu
- Fei-Mei Wu
- Fei-Yun Wu
- Jia-Fei Wu
- Pengfei Wu (aka: Peng-Fei Wu) — disambiguation page
- Philip Fei Wu
- Shu-Fei Wu
- Xiao-Fei Wu
- Pengfei Wu 0005 (aka: Peng-Fei Wu 0005) — Nanjing University of Posts and Telecommunications, School of Computer Science, China
- show all similar names
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2020 – today
- 2024
[j144]Ziyu Zhao, Leilei Gan, Tao Shen, Kun Kuang, Fei Wu:
Deconfounded hierarchical multi-granularity classification. Comput. Vis. Image Underst. 248: 104108 (2024)- [j143]Danyang Gao, Ming Kong, Yongrui Zhao, Jing Huang, Zhengxing Huang, Kun Kuang, Fei Wu, Qiang Zhu:
Simulating doctors' thinking logic for chest X-ray report generation via Transformer-based Semantic Query learning. Medical Image Anal. 91: 102982 (2024) - [j142]Hanbin Zhao, Yongjian Fu, Mintong Kang, Qi Tian, Fei Wu, Xi Li:
MgSvF: Multi-Grained Slow versus Fast Framework for Few-Shot Class-Incremental Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1576-1588 (2024) - [j141]Fengda Zhang, Zitao Shuai, Kun Kuang, Fei Wu, Yueting Zhuang, Jun Xiao:
Unified fair federated learning for digital healthcare. Patterns 5(1): 100907 (2024) - [j140]Ziyu Zhao, Yuqi Bai, Ruoxuan Xiong, Qingyu Cao, Chao Ma, Ning Jiang, Fei Wu, Kun Kuang:
Learning Individual Treatment Effects under Heterogeneous Interference in Networks. ACM Trans. Knowl. Discov. Data 18(8): 199:1-199:21 (2024) - [j139]Shengyu Zhang, Ziqi Jiang, Jiangchao Yao, Fuli Feng, Kun Kuang, Zhou Zhao, Shuo Li, Hongxia Yang, Tat-Seng Chua, Fei Wu:
Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems. IEEE Trans. Knowl. Data Eng. 36(2): 459-474 (2024) - [j138]Donghao Zhang, Zhenyu Liu, Weiqiang Jia, Fei Wu, Hui Liu, Jianrong Tan:
Dual Attention Graph Convolutional Network for Relation Extraction. IEEE Trans. Knowl. Data Eng. 36(2): 530-543 (2024) - [j137]Haotian Wang, Kun Kuang, Long Lan, Zige Wang, Wanrong Huang, Fei Wu, Wenjing Yang:
Out-of-Distribution Generalization With Causal Feature Separation. IEEE Trans. Knowl. Data Eng. 36(4): 1758-1772 (2024) - [j136]Jiannan Guo, Yangyang Kang, Xiaolin Li, Wenqiao Zhang, Kun Kuang, Changlong Sun, Siliang Tang, Fei Wu:
Unleash the Power of Inconsistency-Based Semi-Supervised Active Learning by Dynamic Programming of Curriculum Learning. IEEE Trans. Knowl. Data Eng. 36(11): 7268-7282 (2024) - [j135]Kun Zhang, Ilya Shpitser, Sara Magliacane, Davide Bacciu, Fei Wu, Changshui Zhang, Peter Spirtes:
IEEE Transactions on Neural Networks and Learning Systems Special Issue on Causal Discovery and Causality-Inspired Machine Learning. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4899-4901 (2024) - [j134]Wenwen Pan, Zhou Zhao, Wencan Huang, Zhu Zhang, Liyong Fu, Zhigeng Pan, Jun Yu, Fei Wu:
Video Moment Retrieval With Noisy Labels. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6779-6791 (2024) - [j133]Shengyu Zhang, Tan Jiang, Kun Kuang, Fuli Feng, Jin Yu, Jianxin Ma, Zhou Zhao, Jianke Zhu, Hongxia Yang, Tat-Seng Chua, Fei Wu:
SLED: Structure Learning based Denoising for Recommendation. ACM Trans. Inf. Syst. 42(2): 43:1-43:31 (2024) - [j132]Shengyu Zhang, Qiaowei Miao, Ping Nie, Mengze Li, Zhengyu Chen, Fuli Feng, Kun Kuang, Fei Wu:
Transferring Causal Mechanism over Meta-representations for Target-Unknown Cross-domain Recommendation. ACM Trans. Inf. Syst. 42(4): 103:1-103:27 (2024) - [c270]Yemin Yu, Luotian Yuan, Ying Wei, Hanyu Gao, Fei Wu, Zhihua Wang, Xinhai Ye:
RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction. AAAI 2024: 374-382 - [c269]Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu:
Learning to Reweight for Generalizable Graph Neural Network. AAAI 2024: 8320-8328 - [c268]Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Xiaoqing Yang, Xuan Qin, Peng Zhen, Jiecheng Guo, Fei Wu, Kun Kuang:
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation. AAAI 2024: 17175-17183 - [c267]Yiquan Wu, Yifei Liu, Ziyu Zhao, Weiming Lu, Yating Zhang, Changlong Sun, Fei Wu, Kun Kuang:
De-biased Attention Supervision for Text Classification with Causality. AAAI 2024: 19279-19287 - [c266]Ziyu Zhao, Leilei Gan, Guoyin Wang, Wangchunshu Zhou, Hongxia Yang, Kun Kuang, Fei Wu:
LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild. ACL (Findings) 2024: 4447-4462 - [c265]Ziwei Chai, Guoyin Wang, Jing Su, Tianjie Zhang, Xuanwen Huang, Xuwu Wang, Jingjing Xu, Jianbo Yuan, Hongxia Yang, Fei Wu, Yang Yang:
An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing. ACL (1) 2024: 11385-11396 - [c264]Ang Li, Yiquan Wu, Yifei Liu, Kun Kuang, Fei Wu, Ming Cai:
Enhancing Court View Generation with Knowledge Injection and Guidance. LREC/COLING 2024: 5896-5906 - [c263]Chengyuan Liu, Fubang Zhao, Kun Kuang, Yangyang Kang, Zhuoren Jiang, Changlong Sun, Fei Wu:
Evolving Knowledge Distillation with Large Language Models and Active Learning. LREC/COLING 2024: 6717-6731 - [c262]Ang Li, Qiangchao Chen, Yiquan Wu, Xiang Zhou, Kun Kuang, Fei Wu, Ming Cai:
From Graph to Word Bag: Introducing Domain Knowledge to Confusing Charge Prediction. LREC/COLING 2024: 7469-7479 - [c261]Jimin Xu, Tianbao Wang, Tao Jin, Shengyu Zhang, Dongjie Fu, Zhe Wang, Jiangjing Lyu, Chengfei Lv, Chaoyue Niu, Zhou Yu, Zhou Zhao, Fei Wu:
MPOD123: One Image to 3D Content Generation Using Mask-Enhanced Progressive Outline-to-Detail Optimization. CVPR 2024: 10682-10692 - [c260]Zhenxin Li, Shuibing He, Zheng Dang, Peiyi Hong, Xuechen Zhang, Rui Wang, Fei Wu:
CCL-BTree: A Crash-Consistent Locality-Aware B+-Tree for Reducing XPBuffer-Induced Write Amplification in Persistent Memory. EuroSys 2024: 441-455 - [c259]Qiaowei Miao, Junkun Yuan, Shengyu Zhang, Fei Wu, Kun Kuang:
Domaindiff: Boost out-of-Distribution Generalization with Synthetic Data. ICASSP 2024: 5640-5644 - [c258]Zihao Tang, Zheqi Lv, Shengyu Zhang, Yifan Zhou, Xinyu Duan, Fei Wu, Kun Kuang:
AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation. ICLR 2024 - [c257]Luotian Yuan, Yemin Yu, Ying Wei, Yongwei Wang, Zhihua Wang, Fei Wu:
Active Retrosynthetic Planning Aware of Route Quality. ICLR 2024 - [c256]Min Zhang, Haoxuan Li, Fei Wu, Kun Kuang:
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation. ICLR 2024 - [c255]Xueyu Hu, Ziyu Zhao, Shuang Wei, Ziwei Chai, Qianli Ma, Guoyin Wang, Xuwu Wang, Jing Su, Jingjing Xu, Ming Zhu, Yao Cheng, Jianbo Yuan, Jiwei Li, Kun Kuang, Yang Yang, Hongxia Yang, Fei Wu:
InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks. ICML 2024 - [c254]Baohong Li, Haoxuan Li, Ruoxuan Xiong, Anpeng Wu, Fei Wu, Kun Kuang:
Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias. ICML 2024 - [c253]Wang Lin, Jingyuan Chen, Jiaxin Shi, Yichen Zhu, Chen Liang, Junzhong Miao, Tao Jin, Zhou Zhao, Fei Wu, Shuicheng Yan, Hanwang Zhang:
Non-confusing Generation of Customized Concepts in Diffusion Models. ICML 2024 - [c252]Anpeng Wu, Haoxuan Li, Kun Kuang, Keli Zhang, Fei Wu:
Learning Causal Relations from Subsampled Time Series with Two Time-Slices. ICML 2024 - [c251]Zhouhang Yuan, Zhengqing Fang, Zhengxing Huang, Fei Wu, Yu-Feng Yao, Yingming Li:
Adapting Pre-trained Generative Model to Medical Image for Data Augmentation. MICCAI (5) 2024: 79-89 - [c250]Zhengyao Ding, Yujian Hu, Hongkun Zhang, Fei Wu, Shifeng Yang, Xiaolong Du, Yilang Xiang, Tian Li, Xuesen Chu, Zhengxing Huang:
Physical-Priors-Guided Aortic Dissection Detection Using Non-Contrast-Enhanced CT Images. MICCAI (7) 2024: 551-561 - [c249]Tao Wu, Mengze Li, Jingyuan Chen, Wei Ji, Wang Lin, Jinyang Gao, Kun Kuang, Zhou Zhao, Fei Wu:
Semantic Alignment for Multimodal Large Language Models. ACM Multimedia 2024: 3489-3498 - [c248]Hongyun Yu, Zhan Qu, Qihang Yu, Jianchuan Chen, Zhonghua Jiang, Zhiwen Chen, Shengyu Zhang, Jimin Xu, Fei Wu, Chengfei Lv, Gang Yu:
GaussianTalker: Speaker-specific Talking Head Synthesis via 3D Gaussian Splatting. ACM Multimedia 2024: 3548-3557 - [c247]Zheqi Lv, Shaoxuan He, Tianyu Zhan, Shengyu Zhang, Wenqiao Zhang, Jingyuan Chen, Zhou Zhao, Fei Wu:
Semantic Codebook Learning for Dynamic Recommendation Models. ACM Multimedia 2024: 9611-9620 - [c246]Yifei Liu, Yiquan Wu, Ang Li, Yating Zhang, Changlong Sun, Weiming Lu, Fei Wu, Kun Kuang:
Unleashing the Power of LLMs in Court View Generation by Stimulating Internal Knowledge and Incorporating External Knowledge. NAACL-HLT (Findings) 2024: 2782-2792 - [i210]Xueyu Hu, Kun Kuang, Jiankai Sun, Hongxia Yang, Fei Wu:
Leveraging Print Debugging to Improve Code Generation in Large Language Models. CoRR abs/2401.05319 (2024) - [i209]Xueyu Hu, Ziyu Zhao, Shuang Wei, Ziwei Chai, Guoyin Wang, Xuwu Wang, Jing Su, Jingjing Xu, Ming Zhu, Yao Cheng, Jianbo Yuan, Kun Kuang, Yang Yang, Hongxia Yang, Fei Wu:
InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks. CoRR abs/2401.05507 (2024) - [i208]Zhengqing Fang, Shuowen Zhou, Zhouhang Yuan, Yuxuan Si, Mengze Li, Jinxu Li, Yesheng Xu, Wenjia Xie, Kun Kuang, Yingming Li, Fei Wu, Yu-Feng Yao:
Enabling Collaborative Clinical Diagnosis of Infectious Keratitis by Integrating Expert Knowledge and Interpretable Data-driven Intelligence. CoRR abs/2401.08695 (2024) - [i207]Ziyu Zhao, Leilei Gan, Guoyin Wang, Wangchunshu Zhou, Hongxia Yang, Kun Kuang, Fei Wu:
LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild. CoRR abs/2402.09997 (2024) - [i206]Zihao Tang, Zheqi Lv, Shengyu Zhang, Fei Wu, Kun Kuang:
ModelGPT: Unleashing LLM's Capabilities for Tailored Model Generation. CoRR abs/2402.12408 (2024) - [i205]Yingrong Wang, Anpeng Wu, Haoxuan Li, Weiming Liu, Qiaowei Miao, Ruoxuan Xiong, Fei Wu, Kun Kuang:
Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects. CoRR abs/2403.02624 (2024) - [i204]Ang Li, Yiquan Wu, Yifei Liu, Fei Wu, Ming Cai, Kun Kuang:
Enhancing Court View Generation with Knowledge Injection and Guidance. CoRR abs/2403.04366 (2024) - [i203]Ang Li, Qiangchao Chen, Yiquan Wu, Ming Cai, Xiang Zhou, Fei Wu, Kun Kuang:
From Graph to Word Bag: Introducing Domain Knowledge to Confusing Charge Prediction. CoRR abs/2403.04369 (2024) - [i202]Chengyuan Liu, Yangyang Kang, Fubang Zhao, Kun Kuang, Zhuoren Jiang, Changlong Sun, Fei Wu:
Evolving Knowledge Distillation with Large Language Models and Active Learning. CoRR abs/2403.06414 (2024) - [i201]Changyue Liao, Mo Sun, Zihan Yang, Kaiqi Chen, Binhang Yuan, Fei Wu, Zeke Wang:
Adding NVMe SSDs to Enable and Accelerate 100B Model Fine-tuning on a Single GPU. CoRR abs/2403.06504 (2024) - [i200]Zihao Tang, Zheqi Lv, Shengyu Zhang, Yifan Zhou, Xinyu Duan, Fei Wu, Kun Kuang:
AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation. CoRR abs/2403.07030 (2024) - [i199]Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Xiaoqing Yang, Xuan Qin, Peng Zhen, Jiecheng Guo, Fei Wu, Kun Kuang:
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation. CoRR abs/2403.14232 (2024) - [i198]Ziwei Chai, Guoyin Wang, Jing Su, Tianjie Zhang, Xuanwen Huang, Xuwu Wang, Jingjing Xu, Jianbo Yuan, Hongxia Yang, Fei Wu, Yang Yang:
An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing. CoRR abs/2403.16854 (2024) - [i197]Kunxi Li, Tianyu Zhan, Shengyu Zhang, Kun Kuang, Jiwei Li, Zhou Zhao, Fei Wu:
MergeNet: Knowledge Migration across Heterogeneous Models, Tasks, and Modalities. CoRR abs/2404.13322 (2024) - [i196]Hongyun Yu, Zhan Qu, Qihang Yu, Jianchuan Chen, Zhonghua Jiang, Zhiwen Chen, Shengyu Zhang, Jimin Xu, Fei Wu, Chengfei Lv, Gang Yu:
GaussianTalker: Speaker-specific Talking Head Synthesis via 3D Gaussian Splatting. CoRR abs/2404.14037 (2024) - [i195]Wenyi Xiao, Ziwei Huang, Leilei Gan, Wanggui He, Haoyuan Li, Zhelun Yu, Hao Jiang, Fei Wu, Linchao Zhu:
Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback. CoRR abs/2404.14233 (2024) - [i194]Min Zhang, Haoxuan Li, Fei Wu, Kun Kuang:
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation. CoRR abs/2404.19644 (2024) - [i193]Wang Lin, Jingyuan Chen, Jiaxin Shi, Yichen Zhu, Chen Liang, Junzhong Miao, Tao Jin, Zhou Zhao, Fei Wu, Shuicheng Yan, Hanwang Zhang:
Non-confusing Generation of Customized Concepts in Diffusion Models. CoRR abs/2405.06914 (2024) - [i192]Hongsheng Wang, Weiyue Zhang, Sihao Liu, Xinrui Zhou, Shengyu Zhang, Fei Wu, Feng Lin:
Gaussian Control with Hierarchical Semantic Graphs in 3D Human Recovery. CoRR abs/2405.12477 (2024) - [i191]Hongsheng Wang, Nanjie Yao, Xinrui Zhou, Shengyu Zhang, Huahao Xu, Fei Wu, Feng Lin:
NOVA-3D: Non-overlapped Views for 3D Anime Character Reconstruction. CoRR abs/2405.12505 (2024) - [i190]Hongsheng Wang, Lizao Zhang, Zhangnan Zhong, Shuolin Xu, Xinrui Zhou, Shengyu Zhang, Huahao Xu, Fei Wu, Feng Lin:
RemoCap: Disentangled Representation Learning for Motion Capture. CoRR abs/2405.12724 (2024) - [i189]Hongsheng Wang, Xiang Cai, Xi Sun, Jinhong Yue, Shengyu Zhang, Feng Lin, Fei Wu:
MOSS: Motion-based 3D Clothed Human Synthesis from Monocular Video. CoRR abs/2405.12806 (2024) - [i188]Hongsheng Wang, Yang Wang, Yalan Liu, Fayuan Hu, Shengyu Zhang, Fei Wu, Feng Lin:
NieR: Normal-Based Lighting Scene Rendering. CoRR abs/2405.13097 (2024) - [i187]Yang Zhang, Shixin Yang, Chenjia Bai, Fei Wu, Xiu Li, Zhen Wang, Xuelong Li:
Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration. CoRR abs/2405.14314 (2024) - [i186]Chengyuan Liu, Shihang Wang, Yangyang Kang, Lizhi Qing, Fubang Zhao, Changlong Sun, Kun Kuang, Fei Wu:
More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs. CoRR abs/2405.17830 (2024) - [i185]Shengyu Zhang, Ziqi Jiang, Jiangchao Yao, Fuli Feng, Kun Kuang, Zhou Zhao, Shuo Li, Hongxia Yang, Tat-Seng Chua, Fei Wu:
Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems. CoRR abs/2405.20626 (2024) - [i184]Renqiu Xia, Song Mao, Xiangchao Yan, Hongbin Zhou, Bo Zhang, Haoyang Peng, Jiahao Pi, Daocheng Fu, Wenjie Wu, Hancheng Ye, Shiyang Feng, Bin Wang, Chao Xu, Conghui He, Pinlong Cai, Min Dou, Botian Shi, Sheng Zhou, Yongwei Wang, Bin Wang, Junchi Yan, Fei Wu, Yu Qiao:
DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Models. CoRR abs/2406.11633 (2024) - [i183]Ziyu Zhao, Leilei Gan, Guoyin Wang, Yuwei Hu, Tao Shen, Hongxia Yang, Kun Kuang, Fei Wu:
Retrieval-Augmented Mixture of LoRA Experts for Uploadable Machine Learning. CoRR abs/2406.16989 (2024) - [i182]Yingrong Wang, Haoxuan Li, Minqin Zhu, Anpeng Wu, Ruoxuan Xiong, Fei Wu, Kun Kuang:
Causal Inference with Complex Treatments: A Survey. CoRR abs/2407.14022 (2024) - [i181]Zheqi Lv, Shaoxuan He, Tianyu Zhan, Shengyu Zhang, Wenqiao Zhang, Jingyuan Chen, Zhou Zhao, Fei Wu:
Semantic Codebook Learning for Dynamic Recommendation Models. CoRR abs/2408.00123 (2024) - [i180]Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Xiangwei Chen, Zexu Sun, Fei Wu, Kun Zhang:
Generalized Encouragement-Based Instrumental Variables for Counterfactual Regression. CoRR abs/2408.05428 (2024) - [i179]Kairong Han, Kun Kuang, Ziyu Zhao, Junjian Ye, Fei Wu:
Causal Agent based on Large Language Model. CoRR abs/2408.06849 (2024) - [i178]Tao Wu, Mengze Li, Jingyuan Chen, Wei Ji, Wang Lin, Jinyang Gao, Kun Kuang, Zhou Zhao, Fei Wu:
Semantic Alignment for Multimodal Large Language Models. CoRR abs/2408.12867 (2024) - [i177]Mo Sun, Zihan Yang, Changyue Liao, Yingtao Li, Fei Wu, Zeke Wang:
LuWu: An End-to-End In-Network Out-of-Core Optimizer for 100B-Scale Model-in-Network Data-Parallel Training on Distributed GPUs. CoRR abs/2409.00918 (2024) - [i176]Chengyuan Liu, Shihang Wang, Fubang Zhao, Kun Kuang, Yangyang Kang, Weiming Lu, Changlong Sun, Fei Wu:
RexUniNLU: Recursive Method with Explicit Schema Instructor for Universal NLU. CoRR abs/2409.05275 (2024) - [i175]Zihan Huang, Tao Wu, Wang Lin, Shengyu Zhang, Jingyuan Chen, Fei Wu:
AutoGeo: Automating Geometric Image Dataset Creation for Enhanced Geometry Understanding. CoRR abs/2409.09039 (2024) - [i174]Ziyu Zhao, Tao Shen, Didi Zhu, Zexi Li, Jing Su, Xuwu Wang, Kun Kuang, Fei Wu:
Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering. CoRR abs/2409.16167 (2024) - [i173]Chengyuan Liu, Shihang Wang, Lizhi Qing, Kun Kuang, Yangyang Kang, Changlong Sun, Fei Wu:
Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs. CoRR abs/2410.01188 (2024) - 2023
- [j131]Chun He, Xinhai Ye, Yi Yang, Liya Hu, Yuxuan Si, Xianxin Zhao, Longfei Chen, Qi Fang, Ying Wei, Fei Wu, Gongyin Ye:
DeepAlgPro: an interpretable deep neural network model for predicting allergenic proteins. Briefings Bioinform. 24(4) (2023) - [j130]Ziyu Zhao, Kun Kuang, Bo Li, Peng Cui, Runze Wu, Jun Xiao, Fei Wu:
Differentiated matching for individual and average treatment effect estimation. Data Min. Knowl. Discov. 37(1): 205-227 (2023) - [j129]Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin:
Domain-Specific Bias Filtering for Single Labeled Domain Generalization. Int. J. Comput. Vis. 131(2): 552-571 (2023) - [j128]Zhedong Zheng, Liang Zheng, Yi Yang, Fei Wu:
U-Turn: Crafting Adversarial Queries with Opposite-Direction Features. Int. J. Comput. Vis. 131(4): 835-854 (2023) - [j127]Fengda Zhang, Kun Kuang, Long Chen, Zhaoyang You, Tao Shen, Jun Xiao, Yin Zhang, Chao Wu, Fei Wu, Yueting Zhuang, Xiaolin Li:
Federated unsupervised representation learning. Frontiers Inf. Technol. Electron. Eng. 24(8): 1181-1193 (2023) - [j126]Tao Shen, Jie Zhang, Xinkang Jia, Fengda Zhang, Zheqi Lv, Kun Kuang, Chao Wu, Fei Wu:
Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives. Frontiers Inf. Technol. Electron. Eng. 24(10): 1390-1402 (2023) - [j125]Shengyu Zhang, Fuli Feng, Kun Kuang, Wenqiao Zhang, Zhou Zhao, Hongxia Yang, Tat-Seng Chua, Fei Wu:
Personalized Latent Structure Learning for Recommendation. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10285-10299 (2023) - [j124]Juncheng Li, Siliang Tang, Linchao Zhu, Wenqiao Zhang, Yi Yang, Tat-Seng Chua, Fei Wu, Yueting Zhuang:
Variational Cross-Graph Reasoning and Adaptive Structured Semantics Learning for Compositional Temporal Grounding. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12601-12617 (2023) - [j123]Yucheng Shi, Kunhong Wu, Yahong Han, Yunfeng Shao, Bingshuai Li, Fei Wu:
Source-free and black-box domain adaptation via distributionally adversarial training. Pattern Recognit. 143: 109750 (2023) - [j122]Gang Huang, Zhou Zhou, Fei Wu, Wei Hua:
Physics-Informed Time-Aware Neural Networks for Industrial Nonintrusive Load Monitoring. IEEE Trans. Ind. Informatics 19(6): 7312-7322 (2023) - [j121]Junkun Yuan, Xu Ma, Ruoxuan Xiong, Mingming Gong, Xiangyu Liu, Fei Wu, Lanfen Lin, Kun Kuang:
Instrumental Variable-Driven Domain Generalization with Unobserved Confounders. ACM Trans. Knowl. Discov. Data 17(8): 118:1-118:21 (2023) - [j120]Anpeng Wu, Junkun Yuan, Kun Kuang, Bo Li, Runze Wu, Qiang Zhu, Yueting Zhuang, Fei Wu:
Learning Decomposed Representations for Treatment Effect Estimation. IEEE Trans. Knowl. Data Eng. 35(5): 4989-5001 (2023) - [j119]Kun Kuang, Haotian Wang, Yue Liu, Ruoxuan Xiong, Runze Wu, Weiming Lu, Yueting Zhuang, Fei Wu, Peng Cui, Bo Li:
Stable Prediction With Leveraging Seed Variable. IEEE Trans. Knowl. Data Eng. 35(6): 6392-6404 (2023) - [j118]Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma, Jianwei Zhang, Yunfei Chu, Luo Ji, Kunyang Jia, Tao Shen, Anpeng Wu, Fengda Zhang, Ziqi Tan, Kun Kuang, Chao Wu, Fei Wu, Jingren Zhou, Hongxia Yang:
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI. IEEE Trans. Knowl. Data Eng. 35(7): 6866-6886 (2023) - [j117]Junkun Yuan, Xu Ma, Defang Chen, Fei Wu, Lanfen Lin, Kun Kuang:
Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization. IEEE Trans. Knowl. Data Eng. 35(12): 12528-12541 (2023) - [j116]Xiaohan Wang, Linchao Zhu, Fei Wu, Yi Yang:
A Differentiable Parallel Sampler for Efficient Video Classification. ACM Trans. Multim. Comput. Commun. Appl. 19(3): 112:1-112:18 (2023) - [c245]Yinjie Jiang, Ying Wei, Fei Wu, Zhengxing Huang, Kun Kuang, Zhihua Wang:
Learning Chemical Rules of Retrosynthesis with Pre-training. AAAI 2023: 5113-5121 - [c244]Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu:
Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation. AAAI 2023: 10324-10332 - [c243]Shengyu Zhang, Xusheng Feng, Wenyan Fan, Wenjing Fang, Fuli Feng, Wei Ji, Shuo Li, Li Wang, Shanshan Zhao, Zhou Zhao, Tat-Seng Chua, Fei Wu:
Video-Audio Domain Generalization via Confounder Disentanglement. AAAI 2023: 15322-15330 - [c242]Mengze Li, Tianbao Wang, Jiahe Xu, Kairong Han, Shengyu Zhang, Zhou Zhao, Jiaxu Miao, Wenqiao Zhang, Shiliang Pu, Fei Wu:
Multi-modal Action Chain Abductive Reasoning. ACL (1) 2023: 4617-4628 - [c241]Yiquan Wu, Weiming Lu, Yating Zhang, Adam Jatowt, Jun Feng, Changlong Sun, Fei Wu, Kun Kuang:
Focus-aware Response Generation in Inquiry Conversation. ACL (Findings) 2023: 12585-12599 - [c240]Yuxuan Liu, Kun Kuang, Fengda Zhang, Fei Wu:
FairDR: Ensuring Fairness in Mixed Data of Fairly and Unfairly Treated Instances. CICAI (2) 2023: 3-14 - [c239]Liya Hu, Xinyi Yang, Yuxuan Si, Jingyuan Chen, Xinhai Ye, Zhihua Wang, Fei Wu:
Attention-Based RNA Secondary Structure Prediction. CICAI (2) 2023: 399-410 - [c238]Kairui Fu, Qiaowei Miao, Shengyu Zhang, Kun Kuang, Fei Wu:
End-to-End Optimization of Quantization-Based Structure Learning and Interventional Next-Item Recommendation. CICAI (1) 2023: 415-429 - [c237]Yujie Lu, Yingxuan Huang, Shengyu Zhang, Wei Han, Hui Chen, Wenyan Fan, Jiangliang Lai, Zhou Zhao, Fei Wu:
Multi-trends Enhanced Dynamic Micro-video Recommendation. CICAI (1) 2023: 430-441 - [c236]Zheqi Lv, Feng Wang, Shengyu Zhang, Wenqiao Zhang, Kun Kuang, Fei Wu:
Parameters Efficient Fine-Tuning for Long-Tailed Sequential Recommendation. CICAI (1) 2023: 442-459 - [c235]Pengcheng Zhang, Wenrui Liu, Ning Wang, Ran Shen, Gang Sun, Xinghua Jiang, Zheqian Chen, Fei Wu, Zhou Zhao:
Sequential Style Consistency Learning for Domain-Generalizable Text Recognition. CICAI (1) 2023: 493-504 - [c234]Mengze Li, Han Wang, Wenqiao Zhang, Jiaxu Miao, Zhou Zhao, Shengyu Zhang, Wei Ji, Fei Wu:
WINNER: Weakly-supervised hIerarchical decompositioN and aligNment for spatio-tEmporal video gRounding. CVPR 2023: 23090-23099 - [c233]Zhou Yu, Lixiang Zheng, Zhou Zhao, Fei Wu, Jianping Fan, Kui Ren, Jun Yu:
ANetQA: A Large-scale Benchmark for Fine-grained Compositional Reasoning over Untrimmed Videos. CVPR 2023: 23191-23200 - [c232]Xiaofei Sun, Xiaoya Li, Jiwei Li, Fei Wu, Shangwei Guo, Tianwei Zhang, Guoyin Wang:
Text Classification via Large Language Models. EMNLP (Findings) 2023: 8990-9005 - [c231]Mengze Li, Tianqi Zhao, Jionghao Bai, Baoyi He, Jiaxu Miao, Wei Ji, Zheqi Lv, Zhou Zhao, Shengyu Zhang, Wenqiao Zhang, Fei Wu:
ART: rule bAsed futuRe-inference deducTion. EMNLP 2023: 9512-9522 - [c230]Yiquan Wu, Siying Zhou, Yifei Liu, Weiming Lu, Xiaozhong Liu, Yating Zhang, Changlong Sun, Fei Wu, Kun Kuang:
Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration. EMNLP 2023: 12060-12075 - [c229]Leilei Gan, Baokui Li, Kun Kuang, Yating Zhang, Lei Wang, Anh Tuan Luu, Yi Yang, Fei Wu:
Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction. EMNLP (Findings) 2023: 12174-12185 - [c228]Chengyuan Liu, Fubang Zhao, Yangyang Kang, Jingyuan Zhang, Xiang Zhou, Changlong Sun, Kun Kuang, Fei Wu:
RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction. EMNLP (Findings) 2023: 15342-15359 - [c227]Chenye Cui, Zhou Zhao, Yi Ren, Jinglin Liu, Rongjie Huang, Feiyang Chen, Zhefeng Wang, Baoxing Huai, Fei Wu:
VarietySound: Timbre-Controllable Video to Sound Generation Via Unsupervised Information Disentanglement. ICASSP 2023: 1-5 - [c226]Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang:
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation. ICDE 2023: 3113-3125 - [c225]Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Fei Wu:
Stable Estimation of Heterogeneous Treatment Effects. ICML 2023: 37496-37510 - [c224]Haoyu Geng, Runzhong Wang, Fei Wu, Junchi Yan:
GAL-VNE: Solving the VNE Problem with Global Reinforcement Learning and Local One-Shot Neural Prediction. KDD 2023: 531-543 - [c223]Yunze Tong, Junkun Yuan, Min Zhang, Didi Zhu, Keli Zhang, Fei Wu, Kun Kuang:
Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization. KDD 2023: 2189-2200 - [c222]Shengyu Zhang, Yunze Tong, Kun Kuang, Fuli Feng, Jiezhong Qiu, Jin Yu, Zhou Zhao, Hongxia Yang, Zhongfei Zhang, Fei Wu:
Stable Prediction on Graphs with Agnostic Distribution Shifts. CDPD 2023: 49-74 - [c221]Tianqi Zhao, Ming Kong, Tian Liang, Qiang Zhu, Kun Kuang, Fei Wu:
CLAP: Contrastive Language-Audio Pre-training Model for Multi-modal Sentiment Analysis. ICMR 2023: 622-626 - [c220]Yuqing Zhang, Zhou Fang, Xinyu Yang, Shengyu Zhang, Baoyi He, Huaiyong Dou, Junchi Yan, Yongquan Zhang, Fei Wu:
Reconnecting the Broken Civilization: Patchwork Integration of Fragments from Ancient Manuscripts. ACM Multimedia 2023: 1157-1166 - [c219]Mengze Li, Haoyu Zhang, Juncheng Li, Zhou Zhao, Wenqiao Zhang, Shengyu Zhang, Shiliang Pu, Yueting Zhuang, Fei Wu:
Unsupervised Domain Adaptation for Video Object Grounding with Cascaded Debiasing Learning. ACM Multimedia 2023: 3807-3816 - [c218]Haonan Shi, Wenwen Pan, Zhou Zhao, Mingmin Zhang, Fei Wu:
Unsupervised Domain Adaptation for Referring Semantic Segmentation. ACM Multimedia 2023: 5807-5818 - [c217]Didi Zhu, Yinchuan Li, Yunfeng Shao, Jianye Hao, Fei Wu, Kun Kuang, Jun Xiao, Chao Wu:
Generalized Universal Domain Adaptation with Generative Flow Networks. ACM Multimedia 2023: 8304-8315 - [c216]Jiahui Li, Kun Kuang, Baoxiang Wang, Xingchen Li, Fei Wu, Jun Xiao, Long Chen:
Two Heads are Better Than One: A Simple Exploration Framework for Efficient Multi-Agent Reinforcement Learning. NeurIPS 2023 - [c215]Liya Hu, Zhiang Dong, Jingyuan Chen, Guifeng Wang, Zhihua Wang, Zhou Zhao, Fei Wu:
PTADisc: A Cross-Course Dataset Supporting Personalized Learning in Cold-Start Scenarios. NeurIPS 2023 - [c214]Junkun Yuan, Xinyu Zhang, Hao Zhou, Jian Wang, Zhongwei Qiu, Zhiyin Shao, Shaofeng Zhang, Sifan Long, Kun Kuang, Kun Yao, Junyu Han, Errui Ding, Lanfen Lin, Fei Wu, Jingdong Wang:
HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception. NeurIPS 2023 - [c213]Jiahao Xun, Shengyu Zhang, Yanting Yang, Jieming Zhu, Liqun Deng, Zhou Zhao, Zhenhua Dong, Ruiqi Li, Lichao Zhang, Fei Wu:
DisCover: Disentangled Music Representation Learning for Cover Song Identification. SIGIR 2023: 453-463 - [c212]Yifei Liu, Yiquan Wu, Yating Zhang, Changlong Sun, Weiming Lu, Fei Wu, Kun Kuang:
ML-LJP: Multi-Law Aware Legal Judgment Prediction. SIGIR 2023: 1023-1034 - [c211]Junpeng Fang, Qing Cui, Gongduo Zhang, Caizhi Tang, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou, Fei Wu:
Alleviating Matching Bias in Marketing Recommendations. SIGIR 2023: 3359-3363 - [c210]Jie Sun, Li Su, Zuocheng Shi, Wenting Shen, Zeke Wang, Lei Wang, Jie Zhang, Yong Li, Wenyuan Yu, Jingren Zhou, Fei Wu:
Legion: Automatically Pushing the Envelope of Multi-GPU System for Billion-Scale GNN Training. USENIX ATC 2023: 165-179 - [c209]Jiajie Su, Chaochao Chen, Weiming Liu, Fei Wu, Xiaolin Zheng, Haoming Lyu:
Enhancing Hierarchy-Aware Graph Networks with Deep Dual Clustering for Session-based Recommendation. WWW 2023: 165-176 - [c208]Jun Zhou, Meng Li, Lu Yu, Longfei Li, Fei Wu:
A Practical Rule Learning Framework for Risk Management. WWW (Companion Volume) 2023: 442-446 - [c207]Jun Zhou, Caizhi Tang, Qing Cui, Yi Ding, Longfei Li, Fei Wu:
DGBCT: A Scalable Distributed Gradient Boosting Causal Tree at Alipay. WWW (Companion Volume) 2023: 447-451 - [c206]Zheqi Lv, Wenqiao Zhang, Shengyu Zhang, Kun Kuang, Feng Wang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Beng Chin Ooi, Fei Wu:
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization. WWW 2023: 3077-3085 - [i172]Juncheng Li, Siliang Tang, Linchao Zhu, Wenqiao Zhang, Yi Yang, Tat-Seng Chua, Fei Wu, Yueting Zhuang:
Variational Cross-Graph Reasoning and Adaptive Structured Semantics Learning for Compositional Temporal Grounding. CoRR abs/2301.09071 (2023) - [i171]Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang:
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation. CoRR abs/2302.06141 (2023) - [i170]Zheqi Lv, Zhengyu Chen, Shengyu Zhang, Kun Kuang, Wenqiao Zhang, Mengze Li, Beng Chin Ooi, Fei Wu:
IDEAL: Toward High-efficiency Device-Cloud Collaborative and Dynamic Recommendation System. CoRR abs/2302.07335 (2023) - [i169]Jiong Wang, Zhou Zhao, Fei Wu:
Set-Based Face Recognition Beyond Disentanglement: Burstiness Suppression With Variance Vocabulary. CoRR abs/2304.06249 (2023) - [i168]Shuhe Wang, Xiaofei Sun, Xiaoya Li, Rongbin Ouyang, Fei Wu, Tianwei Zhang, Jiwei Li, Guoyin Wang:
GPT-NER: Named Entity Recognition via Large Language Models. CoRR abs/2304.10428 (2023) - [i167]Chengyuan Liu, Fubang Zhao, Yangyang Kang, Jingyuan Zhang, Xiang Zhou, Changlong Sun, Fei Wu, Kun Kuang:
RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction. CoRR abs/2304.14770 (2023) - [i166]Dong Yao, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Wenqiao Zhang, Rui Zhang, Xiaofei He, Fei Wu:
Denoising Multi-modal Sequential Recommenders with Contrastive Learning. CoRR abs/2305.01915 (2023) - [i165]Zhou Yu, Lixiang Zheng, Zhou Zhao, Fei Wu, Jianping Fan, Kui Ren, Jun Yu:
ANetQA: A Large-scale Benchmark for Fine-grained Compositional Reasoning over Untrimmed Videos. CoRR abs/2305.02519 (2023) - [i164]Didi Zhu, Yinchuan Li, Yunfeng Shao, Jianye Hao, Fei Wu, Kun Kuang, Jun Xiao, Chao Wu:
Generalized Universal Domain Adaptation with Generative Flow Networks. CoRR abs/2305.04466 (2023) - [i163]Xiaofei Sun, Xiaoya Li, Jiwei Li, Fei Wu, Shangwei Guo, Tianwei Zhang, Guoyin Wang:
Text Classification via Large Language Models. CoRR abs/2305.08377 (2023) - [i162]Yunze Tong, Junkun Yuan, Min Zhang, Didi Zhu, Keli Zhang, Fei Wu, Kun Kuang:
Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization. CoRR abs/2305.15889 (2023) - [i161]Jie Sun, Li Su, Zuocheng Shi, Wenting Shen, Zeke Wang, Lei Wang, Jie Zhang, Yong Li, Wenyuan Yu, Jingren Zhou, Fei Wu:
Legion: Automatically Pushing the Envelope of Multi-GPU System for Billion-Scale GNN Training. CoRR abs/2305.16588 (2023) - [i160]Xiaofei Sun, Linfeng Dong, Xiaoya Li, Zhen Wan, Shuhe Wang, Tianwei Zhang, Jiwei Li, Fei Cheng, Lingjuan Lyu, Fei Wu, Guoyin Wang:
Pushing the Limits of ChatGPT on NLP Tasks. CoRR abs/2306.09719 (2023) - [i159]Jiahao Xun, Shengyu Zhang, Yanting Yang, Jieming Zhu, Liqun Deng, Zhou Zhao, Zhenhua Dong, Ruiqi Li, Lichao Zhang, Fei Wu:
DisCover: Disentangled Music Representation Learning for Cover Song Identification. CoRR abs/2307.09775 (2023) - [i158]Anpeng Wu, Haoxuan Li, Kun Kuang, Keli Zhang, Fei Wu:
Hierarchical Topological Ordering with Conditional Independence Test for Limited Time Series. CoRR abs/2308.08148 (2023) - [i157]Junao Shen, Long Chen, Kun Kuang, Fei Wu, Tian Feng, Wei Zhang:
MEDOE: A Multi-Expert Decoder and Output Ensemble Framework for Long-tailed Semantic Segmentation. CoRR abs/2308.08213 (2023) - [i156]Shengyu Zhang, Linfeng Dong, Xiaoya Li, Sen Zhang, Xiaofei Sun, Shuhe Wang, Jiwei Li, Runyi Hu, Tianwei Zhang, Fei Wu, Guoyin Wang:
Instruction Tuning for Large Language Models: A Survey. CoRR abs/2308.10792 (2023) - [i155]Chengyuan Liu, Fubang Zhao, Lizhi Qing, Yangyang Kang, Changlong Sun, Kun Kuang, Fei Wu:
A Chinese Prompt Attack Dataset for LLMs with Evil Content. CoRR abs/2309.11830 (2023) - [i154]Jie Sun, Mo Sun, Zheng Zhang, Jun Xie, Zuocheng Shi, Zihan Yang, Jie Zhang, Fei Wu, Zeke Wang:
Helios: An Efficient Out-of-core GNN Training System on Terabyte-scale Graphs with In-memory Performance. CoRR abs/2310.00837 (2023) - [i153]Yiquan Wu, Siying Zhou, Yifei Liu, Weiming Lu, Xiaozhong Liu, Yating Zhang, Changlong Sun, Fei Wu, Kun Kuang:
Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration. CoRR abs/2310.09241 (2023) - [i152]Junkun Yuan, Xinyu Zhang, Hao Zhou, Jian Wang, Zhongwei Qiu, Zhiyin Shao, Shaofeng Zhang, Sifan Long, Kun Kuang, Kun Yao, Junyu Han, Errui Ding, Lanfen Lin, Fei Wu, Jingdong Wang:
HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception. CoRR abs/2310.20695 (2023) - [i151]Xiaofei Sun, Xiaoya Li, Shengyu Zhang, Shuhe Wang, Fei Wu, Jiwei Li, Tianwei Zhang, Guoyin Wang:
Sentiment Analysis through LLM Negotiations. CoRR abs/2311.01876 (2023) - [i150]Shuhe Wang, Beiming Cao, Shengyu Zhang, Xiaoya Li, Jiwei Li, Fei Wu, Guoyin Wang, Eduard H. Hovy:
Sim-GPT: Text Similarity via GPT Annotated Data. CoRR abs/2312.05603 (2023) - [i149]Yemin Yu, Luotian Yuan, Ying Wei, Hanyu Gao, Xinhai Ye, Zhihua Wang, Fei Wu:
RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction. CoRR abs/2312.10900 (2023) - [i148]Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu:
Learning to Reweight for Graph Neural Network. CoRR abs/2312.12475 (2023) - 2022
- [j115]Ming Kong, Qing Guo, Shuowen Zhou, Mengze Li, Kun Kuang, Zhengxing Huang, Fei Wu, Xiaohong Chen, Qiang Zhu:
Attribute-aware interpretation learning for thyroid ultrasound diagnosis. Artif. Intell. Medicine 131: 102344 (2022) - [j114]Yadong Ding, Yu Wu, Chengyue Huang, Siliang Tang, Fei Wu, Yi Yang, Wenwu Zhu, Yueting Zhuang:
NAP: Neural architecture search with pruning. Neurocomputing 477: 85-95 (2022) - [j113]Tao Jin, Zhou Zhao, Peng Wang, Jun Yu, Fei Wu:
Interaction augmented transformer with decoupled decoding for video captioning. Neurocomputing 492: 496-507 (2022) - [j112]Hui Wang, Jian Tian, Songyuan Li, Hanbin Zhao, Fei Wu, Xi Li:
Structure-conditioned adversarial learning for unsupervised domain adaptation. Neurocomputing 497: 216-226 (2022) - [j111]Bin Wei, Kun Kuang, Changlong Sun, Jun Feng, Yating Zhang, Xinli Zhu, Jianghong Zhou, Yinsheng Zhai, Fei Wu:
A full-process intelligent trial system for smart court. Frontiers Inf. Technol. Electron. Eng. 23(2): 186-206 (2022) - [j110]Gang Huang, Fei Wu, Chuangxin Guo:
Smart grid dispatch powered by deep learning: a survey. Frontiers Inf. Technol. Electron. Eng. 23(5): 763-776 (2022) - [j109]Junyi Feng, Songyuan Li, Xi Li, Fei Wu, Qi Tian, Ming-Hsuan Yang, Haibin Ling:
TapLab: A Fast Framework for Semantic Video Segmentation Tapping Into Compressed-Domain Knowledge. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1591-1603 (2022) - [j108]Fei Wu, Junchan Wang, Yuzhuang Zhou, Xiaoxin Song, Chengxin Ju, Chengming Sun, Tao Liu:
Estimation of Winter Wheat Tiller Number Based on Optimization of Gradient Vegetation Characteristics. Remote. Sens. 14(6): 1338 (2022) - [j107]Xiaofei Sun, Yuxian Meng, Xiang Ao, Fei Wu, Tianwei Zhang, Jiwei Li, Chun Fan:
Sentence Similarity Based on Contexts. Trans. Assoc. Comput. Linguistics 10: 573-588 (2022) - [j106]Leilei Gan, Zhiyang Teng, Yue Zhang, Linchao Zhu, Fei Wu, Yi Yang:
SemGloVe: Semantic Co-Occurrences for GloVe From BERT. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2696-2704 (2022) - [j105]Pengcheng Zhang, Zhou Zhao, Nannan Wang, Jun Yu, Fei Wu:
Local-Global Graph Pooling via Mutual Information Maximization for Video-Paragraph Retrieval. IEEE Trans. Circuits Syst. Video Technol. 32(10): 7133-7146 (2022) - [j104]Weichao Li, Xi Li, Omar El Farouk Bourahla, Fuxian Huang, Fei Wu, Wei Liu, Hongmin Liu:
Progressive Multistage Learning for Discriminative Tracking. IEEE Trans. Cybern. 52(5): 3519-3530 (2022) - [j103]Xiaoqiang Wang, Lei Zhu, Siliang Tang, Huazhu Fu, Ping Li, Fei Wu, Yi Yang, Yueting Zhuang:
Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images. IEEE Trans. Image Process. 31: 1107-1119 (2022) - [j102]Kun Kuang, Hengtao Zhang, Runze Wu, Fei Wu, Yueting Zhuang, Aijun Zhang:
Balance-Subsampled Stable Prediction Across Unknown Test Data. ACM Trans. Knowl. Discov. Data 16(3): 45:1-45:21 (2022) - [j101]Junkun Yuan, Anpeng Wu, Kun Kuang, Bo Li, Runze Wu, Fei Wu, Lanfen Lin:
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition. ACM Trans. Knowl. Discov. Data 16(4): 74:1-74:20 (2022) - [j100]Kun Kuang, Peng Cui, Hao Zou, Bo Li, Jianrong Tao, Fei Wu, Shiqiang Yang:
Data-Driven Variable Decomposition for Treatment Effect Estimation. IEEE Trans. Knowl. Data Eng. 34(5): 2120-2134 (2022) - [j99]Hanbin Zhao, Hui Wang, Yongjian Fu, Fei Wu, Xi Li:
Memory-Efficient Class-Incremental Learning for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5966-5977 (2022) - [c205]Yuxian Meng, Xiaoya Li, Xiayu Zheng, Fei Wu, Xiaofei Sun, Tianwei Zhang, Jiwei Li:
Fast Nearest Neighbor Machine Translation. ACL (Findings) 2022: 555-565 - [c204]Leilei Gan, Yuxian Meng, Kun Kuang, Xiaofei Sun, Chun Fan, Fei Wu, Jiwei Li:
Dependency Parsing as MRC-based Span-Span Prediction. ACL (1) 2022: 2427-2437 - [c203]Mengze Li, Tianbao Wang, Haoyu Zhang, Shengyu Zhang, Zhou Zhao, Jiaxu Miao, Wenqiao Zhang, Wenming Tan, Jin Wang, Peng Wang, Shiliang Pu, Fei Wu:
End-to-End Modeling via Information Tree for One-Shot Natural Language Spatial Video Grounding. ACL (1) 2022: 8707-8717 - [c202]Yemin Yu, Kun Kuang, Jiangchao Yang, Zeke Wang, Kunyang Jia, Weiming Lu, Hongxia Yang, Fei Wu:
Multi-objective Meta-return Reinforcement Learning for Sequential Recommendation. CICAI (2) 2022: 95-111 - [c201]Siying Zhou, Yifei Liu, Yiquan Wu, Kun Kuang, Chunyan Zheng, Fei Wu:
Similar Case Based Prison Term Prediction. CICAI (3) 2022: 284-297 - [c200]Tianqi Zhao, Ming Kong, Kun Kuang, Zhengxing Huang, Qiang Zhu, Fei Wu:
Connecting Patients with Pre-diagnosis: A Multiple Graph Regularized Method for Mental Disorder Diagnosis. CICAI (2) 2022: 362-374 - [c199]Xiaofei Sun, Yufei Tian, Yuxian Meng, Nanyun Peng, Fei Wu, Jiwei Li, Chun Fan:
Paraphrase Generation as Unsupervised Machine Translation. COLING 2022: 6379-6391 - [c198]Wenwen Pan, Haonan Shi, Zhou Zhao, Jieming Zhu, Xiuqiang He, Zhigeng Pan, Lianli Gao, Jun Yu, Fei Wu, Qi Tian:
Wnet: Audio-Guided Video Object Segmentation via Wavelet-Based Cross- Modal Denoising Networks. CVPR 2022: 1310-1321 - [c197]Juncheng Li, Junlin Xie, Long Qian, Linchao Zhu, Siliang Tang, Fei Wu, Yi Yang, Yueting Zhuang, Xin Eric Wang:
Compositional Temporal Grounding with Structured Variational Cross-Graph Correspondence Learning. CVPR 2022: 3022-3031 - [c196]Lixin Yang, Kailin Li, Xinyu Zhan, Fei Wu, Anran Xu, Liu Liu, Cewu Lu:
OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction. CVPR 2022: 20921-20930 - [c195]Yiquan Wu, Yifei Liu, Weiming Lu, Yating Zhang, Jun Feng, Changlong Sun, Fei Wu, Kun Kuang:
Towards Interactivity and Interpretability: A Rationale-based Legal Judgment Prediction Framework. EMNLP 2022: 4787-4799 - [c194]Chengyuan Liu, Leilei Gan, Kun Kuang, Fei Wu:
Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples. EMNLP 2022: 5499-5512 - [c193]Yuxuan Si, Zhengqing Fang, Kun Kuang, Zhengxing Huang, Yu-Feng Yao, Fei Wu:
Disentangled Sequential Autoencoder with Local Consistency for Infectious Keratitis Diagnosis. ICIP 2022: 3893-3897 - [c192]Yuxian Meng, Shi Zong, Xiaoya Li, Xiaofei Sun, Tianwei Zhang, Fei Wu, Jiwei Li:
GNN-LM: Language Modeling based on Global Contexts via GNN. ICLR 2022 - [c191]Yinjie Jiang, Zhengyu Chen, Kun Kuang, Luotian Yuan, Xinhai Ye, Zhihua Wang, Fei Wu, Ying Wei:
The Role of Deconfounding in Meta-learning. ICML 2022: 10161-10176 - [c190]Jiahui Li, Kun Kuang, Baoxiang Wang, Furui Liu, Long Chen, Changjie Fan, Fei Wu, Jun Xiao:
Deconfounded Value Decomposition for Multi-Agent Reinforcement Learning. ICML 2022: 12843-12856 - [c189]Anpeng Wu, Kun Kuang, Bo Li, Fei Wu:
Instrumental Variable Regression with Confounder Balancing. ICML 2022: 24056-24075 - [c188]Yun Zhu, Jianhao Guo, Fei Wu, Siliang Tang:
RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning. IJCAI 2022: 3795-3801 - [c187]Zhenhui Ye, Zhou Zhao, Yi Ren, Fei Wu:
SyntaSpeech: Syntax-Aware Generative Adversarial Text-to-Speech. IJCAI 2022: 4468-4474 - [c186]Yuxiao Lin, Zhihao Du, Shiliang Zhang, Fan Yu, Zhou Zhao, Fei Wu:
Separate-to-Recognize: Joint Multi-target Speech Separation and Speech Recognition for Speaker-attributed ASR. ISCSLP 2022: 150-154 - [c185]Haotian Wang, Wenjing Yang, Longqi Yang, Anpeng Wu, Liyang Xu, Jing Ren, Fei Wu, Kun Kuang:
Estimating Individualized Causal Effect with Confounded Instruments. KDD 2022: 1857-1867 - [c184]Jiannan Guo, Yangyang Kang, Yu Duan, Xiaozhong Liu, Siliang Tang, Wenqiao Zhang, Kun Kuang, Changlong Sun, Fei Wu:
Collaborative Intelligence Orchestration: Inconsistency-Based Fusion of Semi-Supervised Learning and Active Learning. KDD 2022: 2935-2945 - [c183]Xufeng Qian, Yue Xu, Fuyu Lv, Shengyu Zhang, Ziwen Jiang, Qingwen Liu, Xiaoyi Zeng, Tat-Seng Chua, Fei Wu:
Intelligent Request Strategy Design in Recommender System. KDD 2022: 3772-3782 - [c182]Ming Kong, Zhengxing Huang, Kun Kuang, Qiang Zhu, Fei Wu:
TranSQ: Transformer-Based Semantic Query for Medical Report Generation. MICCAI (8) 2022: 610-620 - [c181]Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin:
Label-Efficient Domain Generalization via Collaborative Exploration and Generalization. ACM Multimedia 2022: 2361-2370 - [c180]Mengze Li, Tianbao Wang, Haoyu Zhang, Shengyu Zhang, Zhou Zhao, Wenqiao Zhang, Jiaxu Miao, Shiliang Pu, Fei Wu:
HERO: HiErarchical spatio-tempoRal reasOning with Contrastive Action Correspondence for End-to-End Video Object Grounding. ACM Multimedia 2022: 3801-3810 - [c179]Ziqi Jiang, Shengyu Zhang, Siyuan Yao, Wenqiao Zhang, Sihan Zhang, Juncheng Li, Zhou Zhao, Fei Wu:
Weakly-supervised Disentanglement Network for Video Fingerspelling Detection. ACM Multimedia 2022: 5446-5455 - [c178]Jiong Wang, Zhou Zhao, Fei Wu:
Set-Based Face Recognition Beyond Disentanglement: Burstiness Suppression With Variance Vocabulary. ACM Multimedia 2022: 6125-6135 - [c177]Leilei Gan, Jiwei Li, Tianwei Zhang, Xiaoya Li, Yuxian Meng, Fei Wu, Yi Yang, Shangwei Guo, Chun Fan:
Triggerless Backdoor Attack for NLP Tasks with Clean Labels. NAACL-HLT 2022: 2942-2952 - [c176]Qi Tian, Kun Kuang, Kelu Jiang, Furui Liu, Zhihua Wang, Fei Wu:
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder. NeurIPS 2022 - [c175]Yemin Yu, Ying Wei, Kun Kuang, Zhengxing Huang, Huaxiu Yao, Fei Wu:
GRASP: Navigating Retrosynthetic Planning with Goal-driven Policy. NeurIPS 2022 - [c174]Zeke Wang, Hongjing Huang, Jie Zhang, Fei Wu, Gustavo Alonso:
FpgaNIC: An FPGA-based Versatile 100Gb SmartNIC for GPUs. USENIX ATC 2022: 967-986 - [c173]Ziqi Tan, Shengyu Zhang, Nuanxin Hong, Kun Kuang, Yifan Yu, Jin Yu, Zhou Zhao, Hongxia Yang, Shiyuan Pan, Jingren Zhou, Fei Wu:
Uncovering Causal Effects of Online Short Videos on Consumer Behaviors. WSDM 2022: 997-1006 - [c172]Mengying Zhu, Yan Wang, Fei Wu, Mengyuan Yang, Cheng Chen, Qianqiao Liang, Xiaolin Zheng:
WISE: Wavelet based Interpretable Stock Embedding for Risk-Averse Portfolio Management. WWW (Companion Volume) 2022: 1-11 - [c171]Shengyu Zhang, Lingxiao Yang, Dong Yao, Yujie Lu, Fuli Feng, Zhou Zhao, Tat-Seng Chua, Fei Wu:
Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation. WWW 2022: 2216-2226 - [i147]Xiaoqiang Wang, Lei Zhu, Siliang Tang, Huazhu Fu, Ping Li, Fei Wu, Yi Yang, Yueting Zhuang:
Boosting RGB-D Saliency Detection by Leveraging Unlabeled RGB Images. CoRR abs/2201.00100 (2022) - [i146]Dongqi Wang, Shengyu Zhang, Zhipeng Di, Xin Lin, Weihua Zhou, Fei Wu:
A Novel Architecture Slimming Method for Network Pruning and Knowledge Distillation. CoRR abs/2202.10461 (2022) - [i145]Mengze Li, Tianbao Wang, Haoyu Zhang, Shengyu Zhang, Zhou Zhao, Jiaxu Miao, Wenqiao Zhang, Wenming Tan, Jin Wang, Peng Wang, Shiliang Pu, Fei Wu:
End-to-End Modeling via Information Tree for One-Shot Natural Language Spatial Video Grounding. CoRR abs/2203.08013 (2022) - [i144]Juncheng Li, Junlin Xie, Long Qian, Linchao Zhu, Siliang Tang, Fei Wu, Yi Yang, Yueting Zhuang, Xin Eric Wang:
Compositional Temporal Grounding with Structured Variational Cross-Graph Correspondence Learning. CoRR abs/2203.13049 (2022) - [i143]Lixin Yang, Kailin Li, Xinyu Zhan, Fei Wu, Anran Xu, Liu Liu, Cewu Lu:
OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction. CoRR abs/2203.15709 (2022) - [i142]Zhenhui Ye, Zhou Zhao, Yi Ren, Fei Wu:
SyntaSpeech: Syntax-Aware Generative Adversarial Text-to-Speech. CoRR abs/2204.11792 (2022) - [i141]Yun Zhu, Jianhao Guo, Fei Wu, Siliang Tang:
RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning. CoRR abs/2204.13846 (2022) - [i140]Jiannan Guo, Yangyang Kang, Yu Duan, Xiaozhong Liu, Siliang Tang, Wenqiao Zhang, Kun Kuang, Changlong Sun, Fei Wu:
Collaborative Intelligence Orchestration: Inconsistency-Based Fusion of Semi-Supervised Learning and Active Learning. CoRR abs/2206.03288 (2022) - [i139]Xufeng Qian, Yue Xu, Fuyu Lv, Shengyu Zhang, Ziwen Jiang, Qingwen Liu, Xiaoyi Zeng, Tat-Seng Chua, Fei Wu:
Intelligent Request Strategy Design in Recommender System. CoRR abs/2206.12296 (2022) - [i138]Chengqiang Lu, Jianwei Zhang, Yunfei Chu, Zhengyu Chen, Jingren Zhou, Fei Wu, Haiqing Chen, Hongxia Yang:
Knowledge Distillation of Transformer-based Language Models Revisited. CoRR abs/2206.14366 (2022) - [i137]Zhanzhan Cheng, Peng Zhang, Can Li, Liang Qiao, Yunlu Xu, Pengfei Li, Shiliang Pu, Yi Niu, Fei Wu:
TRIE++: Towards End-to-End Information Extraction from Visually Rich Documents. CoRR abs/2207.06744 (2022) - [i136]Guimei Cao, Zhanzhan Cheng, Yunlu Xu, Duo Li, Shiliang Pu, Yi Niu, Fei Wu:
E2-AEN: End-to-End Incremental Learning with Adaptively Expandable Network. CoRR abs/2207.06754 (2022) - [i135]Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin:
Label-Efficient Domain Generalization via Collaborative Exploration and Generalization. CoRR abs/2208.03644 (2022) - [i134]Mengze Li, Tianbao Wang, Haoyu Zhang, Shengyu Zhang, Zhou Zhao, Wenqiao Zhang, Jiaxu Miao, Shiliang Pu, Fei Wu:
HERO: HiErarchical spatio-tempoRal reasOning with Contrastive Action Correspondence for End-to-End Video Object Grounding. CoRR abs/2208.05818 (2022) - [i133]Shengyu Zhang, Lingxiao Yang, Dong Yao, Yujie Lu, Fuli Feng, Zhou Zhao, Tat-Seng Chua, Fei Wu:
Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation. CoRR abs/2208.08011 (2022) - [i132]Shengyu Zhang, Bofang Li, Dong Yao, Fuli Feng, Jieming Zhu, Wenyan Fan, Zhou Zhao, Xiaofei He, Tat-Seng Chua, Fei Wu:
CCL4Rec: Contrast over Contrastive Learning for Micro-video Recommendation. CoRR abs/2208.08024 (2022) - [i131]Zheqi Lv, Feng Wang, Shengyu Zhang, Kun Kuang, Hongxia Yang, Fei Wu:
Personalizing Intervened Network for Long-tailed Sequential User Behavior Modeling. CoRR abs/2208.09130 (2022) - [i130]Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Minqing Zhu, Yuxuan Liu, Bo Li, Furui Liu, Zhihua Wang, Fei Wu:
Treatment Effect Estimation with Unmeasured Confounders in Data Fusion. CoRR abs/2208.10912 (2022) - [i129]Zheqi Lv, Feng Wang, Kun Kuang, Yongwei Wang, Zhengyu Chen, Tao Shen, Hongxia Yang, Fei Wu:
MetaNetwork: A Task-agnostic Network Parameters Generation Framework for Improving Device Model Generalization. CoRR abs/2209.05227 (2022) - [i128]Chengyuan Liu, Leilei Gan, Kun Kuang, Fei Wu:
Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples. CoRR abs/2210.08548 (2022) - [i127]Ziyu Zhao, Kun Kuang, Ruoxuan Xiong, Fei Wu:
Learning Individual Treatment Effects under Heterogeneous Interference in Networks. CoRR abs/2210.14080 (2022) - [i126]Leilei Gan, Baokui Li, Kun Kuang, Yi Yang, Fei Wu:
Exploiting Contrastive Learning and Numerical Evidence for Improving Confusing Legal Judgment Prediction. CoRR abs/2211.08238 (2022) - [i125]Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Fei Wu:
Confounder Balancing for Instrumental Variable Regression with Latent Variable. CoRR abs/2211.10008 (2022) - [i124]Qi Tian, Kun Kuang, Kelu Jiang, Furui Liu, Zhihua Wang, Fei Wu:
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder. CoRR abs/2212.01767 (2022) - [i123]Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Fei Wu:
Instrumental Variables in Causal Inference and Machine Learning: A Survey. CoRR abs/2212.05778 (2022) - 2021
- [j98]Fei Wu, Qinming He, Chao Wu:
AI+X micro-program fosters interdisciplinary skills in China. Commun. ACM 64(11): 52-54 (2021) - [j97]Kun Kuang, Yunzhe Li, Bo Li, Peng Cui, Hongxia Yang, Jianrong Tao, Fei Wu:
Continuous treatment effect estimation via generative adversarial de-confounding. Data Min. Knowl. Discov. 35(6): 2467-2497 (2021) - [j96]Zhanzhan Cheng, Jing Lu, Baorui Zou, Liang Qiao, Yunlu Xu, Shiliang Pu, Yi Niu, Fei Wu, Shuigeng Zhou:
FREE: A Fast and Robust End-to-End Video Text Spotter. IEEE Trans. Image Process. 30: 822-837 (2021) - [j95]Yu Wu, Linchao Zhu, Xiaohan Wang, Yi Yang, Fei Wu:
Learning to Anticipate Egocentric Actions by Imagination. IEEE Trans. Image Process. 30: 1143-1152 (2021) - [j94]Ke Ning, Lingxi Xie, Jianzhuang Liu, Fei Wu, Qi Tian:
Interaction-Integrated Network for Natural Language Moment Localization. IEEE Trans. Image Process. 30: 2538-2548 (2021) - [j93]Mao Gu, Zhou Zhao, Weike Jin, Richang Hong, Fei Wu:
Graph-Based Multi-Interaction Network for Video Question Answering. IEEE Trans. Image Process. 30: 2758-2770 (2021) - [j92]Xuewei Li, Songyuan Li, Bourahla Omar, Fei Wu, Xi Li:
ResKD: Residual-Guided Knowledge Distillation. IEEE Trans. Image Process. 30: 4735-4746 (2021) - [j91]Youjiang Xu, Linchao Zhu, Yi Yang, Fei Wu:
Training Robust Object Detectors From Noisy Category Labels and Imprecise Bounding Boxes. IEEE Trans. Image Process. 30: 5782-5792 (2021) - [j90]Yang Yang, Yuhong Xu, Yizhou Sun, Yuxiao Dong, Fei Wu, Yueting Zhuang:
Mining Fraudsters and Fraudulent Strategies in Large-Scale Mobile Social Networks. IEEE Trans. Knowl. Data Eng. 33(1): 169-179 (2021) - [j89]Lina Wei, Shanshan Zhao, Omar El Farouk Bourahla, Xi Li, Fei Wu, Yueting Zhuang, Junwei Han, Mingliang Xu:
End-to-End Video Saliency Detection via a Deep Contextual Spatiotemporal Network. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1691-1702 (2021) - [j88]Jun Song, Yueyang Wang, Siliang Tang, Yin Zhang, Zhigang Chen, Zhongfei Zhang, Tong Zhang, Fei Wu:
Local-Global Memory Neural Network for Medication Prediction. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1723-1736 (2021) - [c170]Liang Qiao, Ying Chen, Zhanzhan Cheng, Yunlu Xu, Yi Niu, Shiliang Pu, Fei Wu:
MANGO: A Mask Attention Guided One-Stage Scene Text Spotter. AAAI 2021: 2467-2476 - [c169]Chengwei Zhang, Yunlu Xu, Zhanzhan Cheng, Shiliang Pu, Yi Niu, Fei Wu, Futai Zou:
SPIN: Structure-Preserving Inner Offset Network for Scene Text Recognition. AAAI 2021: 3305-3314 - [c168]Leilei Gan, Kun Kuang, Yi Yang, Fei Wu:
Judgment Prediction via Injecting Legal Knowledge into Neural Networks. AAAI 2021: 12866-12874 - [c167]Chao Wu, Yan Li, Junxiang Li, Qiongdan Zhang, Fei Wu:
Web-based Platform for K-12 AI Education in China. AAAI 2021: 15687-15694 - [c166]Dong Yao, Shengyu Zhang, Zhou Zhao, Wenyan Fan, Jieming Zhu, Xiuqiang He, Fei Wu:
Modeling High-order Interactions across Multi-interests for Micro-video Reommendation (Student Abstract). AAAI 2021: 15945-15946 - [c165]Yuxiao Lin, Yuxian Meng, Xiaofei Sun, Qinghong Han, Kun Kuang, Jiwei Li, Fei Wu:
BertGCN: Transductive Text Classification by Combining GNN and BERT. ACL/IJCNLP (Findings) 2021: 1456-1462 - [c164]Zijun Sun, Xiaoya Li, Xiaofei Sun, Yuxian Meng, Xiang Ao, Qing He, Fei Wu, Jiwei Li:
ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information. ACL/IJCNLP (1) 2021: 2065-2075 - [c163]Tao Chen, Haizhou Shi, Siliang Tang, Zhigang Chen, Fei Wu, Yueting Zhuang:
CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction. ACL/IJCNLP (1) 2021: 6191-6200 - [c162]Ziyu Zhao, Kun Kuang, Fei Wu:
Estimating Treatment Effect via Differentiated Confounder Matching. CICAI 2021: 689-699 - [c161]Shengyu Zhang, Tan Jiang, Tan Wang, Kun Kuang, Zhou Zhao, Jianke Zhu, Jin Yu, Hongxia Yang, Fei Wu:
DeVLBert: Out-of-Distribution Visio-Linguistic Pretraining With Causality. CVPR Workshops 2021: 1744-1747 - [c160]Shengyu Zhang, Tan Jiang, Qinghao Huang, Ziqi Tan, Kun Kuang, Zhou Zhao, Siliang Tang, Jin Yu, Hongxia Yang, Yi Yang, Fei Wu:
Grounded, Controllable and Debiased Image Completion With Lexical Semantics. CVPR Workshops 2021: 1748-1751 - [c159]Yuxian Meng, Xiang Ao, Qing He, Xiaofei Sun, Qinghong Han, Fei Wu, Chun Fan, Jiwei Li:
ConRPG: Paraphrase Generation using Contexts as Regularizer. EMNLP (1) 2021: 2551-2562 - [c158]Chun Fan, Jiwei Li, Tianwei Zhang, Xiang Ao, Fei Wu, Yuxian Meng, Xiaofei Sun:
Layer-wise Model Pruning based on Mutual Information. EMNLP (1) 2021: 3079-3090 - [c157]Xiaoya Li, Jiwei Li, Xiaofei Sun, Chun Fan, Tianwei Zhang, Fei Wu, Yuxian Meng, Jun Zhang:
kFolden: k-Fold Ensemble for Out-Of-Distribution Detection. EMNLP (1) 2021: 3102-3115 - [c156]Zequn Qin, Pengyi Zhang, Fei Wu, Xi Li:
FcaNet: Frequency Channel Attention Networks. ICCV 2021: 763-772 - [c155]Juncheng Li, Siliang Tang, Linchao Zhu, Haochen Shi, Xuanwen Huang, Fei Wu, Yi Yang, Yueting Zhuang:
Adaptive Hierarchical Graph Reasoning with Semantic Coherence for Video-and-Language Inference. ICCV 2021: 1847-1857 - [c154]Jiannan Guo, Haochen Shi, Yangyang Kang, Kun Kuang, Siliang Tang, Zhuoren Jiang, Changlong Sun, Fei Wu, Yueting Zhuang:
Semi-supervised Active Learning for Semi-supervised Models: Exploit Adversarial Examples with Graph-based Virtual Labels. ICCV 2021: 2876-2885 - [c153]Liang Qiao, Zaisheng Li, Zhanzhan Cheng, Peng Zhang, Shiliang Pu, Yi Niu, Wenqi Ren, Wenming Tan, Fei Wu:
LGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment. ICDAR (1) 2021: 99-114 - [c152]Peng Zhang, Can Li, Liang Qiao, Zhanzhan Cheng, Shiliang Pu, Yi Niu, Fei Wu:
VSR: A Unified Framework for Document Layout Analysis Combining Vision, Semantics and Relations. ICDAR (1) 2021: 115-130 - [c151]Hui Jiang, Yunlu Xu, Zhanzhan Cheng, Shiliang Pu, Yi Niu, Wenqi Ren, Fei Wu, Wenming Tan:
Reciprocal Feature Learning via Explicit and Implicit Tasks in Scene Text Recognition. ICDAR (1) 2021: 287-303 - [c150]Zhanzhan Cheng, Jing Lu, Baorui Zou, Shuigeng Zhou, Fei Wu:
ICDAR 2021 Competition on Scene Video Text Spotting. ICDAR (4) 2021: 650-662 - [c149]Haozhe Feng, Zhaoyang You, Minghao Chen, Tianye Zhang, Minfeng Zhu, Fei Wu, Chao Wu, Wei Chen:
KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation. ICML 2021: 3274-3283 - [c148]Jiahui Li, Kun Kuang, Baoxiang Wang, Furui Liu, Long Chen, Fei Wu, Jun Xiao:
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning. KDD 2021: 934-942 - [c147]Qi Tian, Kun Kuang, Kelu Jiang, Fei Wu, Yisen Wang:
Analysis and Applications of Class-wise Robustness in Adversarial Training. KDD 2021: 1561-1570 - [c146]Jiahao Xun, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Qi Zhang, Jingjie Li, Xiuqiang He, Xiaofei He, Tat-Seng Chua, Fei Wu:
Why Do We Click: Visual Impression-aware News Recommendation. ACM Multimedia 2021: 3881-3890 - [c145]Shengyu Zhang, Donghui Wang, Zhou Zhao, Siliang Tang, Kun Kuang, Di Xie, Fei Wu:
MGD-GAN: Text-to-Pedestrian Generation Through Multi-grained Discrimination. PRCV (2) 2021: 662-673 - [c144]Shengyu Zhang, Dong Yao, Zhou Zhao, Tat-Seng Chua, Fei Wu:
CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation. SIGIR 2021: 367-377 - [c143]Yujie Lu, Shengyu Zhang, Yingxuan Huang, Luyao Wang, Xinyao Yu, Zhou Zhao, Fei Wu:
Future-Aware Diverse Trends Framework for Recommendation. WWW 2021: 2992-3001 - [e6]Huimin Ma, Liang Wang, Changshui Zhang, Fei Wu, Tieniu Tan, Yaonan Wang, Jianhuang Lai, Yao Zhao:
Pattern Recognition and Computer Vision - 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 - November 1, 2021, Proceedings, Part I. Lecture Notes in Computer Science 13019, Springer 2021, ISBN 978-3-030-88003-3 [contents] - [e5]Huimin Ma, Liang Wang, Changshui Zhang, Fei Wu, Tieniu Tan, Yaonan Wang, Jianhuang Lai, Yao Zhao:
Pattern Recognition and Computer Vision - 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 - November 1, 2021, Proceedings, Part II. Lecture Notes in Computer Science 13020, Springer 2021, ISBN 978-3-030-88006-4 [contents] - [e4]Huimin Ma, Liang Wang, Changshui Zhang, Fei Wu, Tieniu Tan, Yaonan Wang, Jianhuang Lai, Yao Zhao:
Pattern Recognition and Computer Vision - 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 - November 1, 2021, Proceedings, Part III. Lecture Notes in Computer Science 13021, Springer 2021, ISBN 978-3-030-88009-5 [contents] - [e3]Huimin Ma, Liang Wang, Changshui Zhang, Fei Wu, Tieniu Tan, Yaonan Wang, Jianhuang Lai, Yao Zhao:
Pattern Recognition and Computer Vision - 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 - November 1, 2021, Proceedings, Part IV. Lecture Notes in Computer Science 13022, Springer 2021, ISBN 978-3-030-88012-5 [contents] - [i122]Huanzhang Dou, Wenhu Zhang, Pengyi Zhang, Yuhan Zhao, Songyuan Li, Zequn Qin, Fei Wu, Lin Dong, Xi Li:
VersatileGait: A Large-Scale Synthetic Gait Dataset with Fine-GrainedAttributes and Complicated Scenarios. CoRR abs/2101.01394 (2021) - [i121]Yu Wu, Linchao Zhu, Xiaohan Wang, Yi Yang, Fei Wu:
Learning to Anticipate Egocentric Actions by Imagination. CoRR abs/2101.04924 (2021) - [i120]Hui Wang, Jian Tian, Songyuan Li, Hanbin Zhao, Qi Tian, Fei Wu, Xi Li:
Unsupervised Domain Adaptation for Image Classification via Structure-Conditioned Adversarial Learning. CoRR abs/2103.02808 (2021) - [i119]Dong Yao, Shengyu Zhang, Zhou Zhao, Wenyan Fan, Jieming Zhu, Xiuqiang He, Fei Wu:
Modeling High-order Interactions across Multi-interests for Micro-video Reommendation. CoRR abs/2104.00305 (2021) - [i118]Yuxiao Lin, Yuxian Meng, Xiaofei Sun, Qinghong Han, Kun Kuang, Jiwei Li, Fei Wu:
BertGCN: Transductive Text Classification by Combining GCN and BERT. CoRR abs/2105.05727 (2021) - [i117]Peng Zhang, Can Li, Liang Qiao, Zhanzhan Cheng, Shiliang Pu, Yi Niu, Fei Wu:
VSR: A Unified Framework for Document Layout Analysis combining Vision, Semantics and Relations. CoRR abs/2105.06220 (2021) - [i116]Liang Qiao, Zaisheng Li, Zhanzhan Cheng, Peng Zhang, Shiliang Pu, Yi Niu, Wenqi Ren, Wenming Tan, Fei Wu:
LGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment. CoRR abs/2105.06224 (2021) - [i115]Hui Jiang, Yunlu Xu, Zhanzhan Cheng, Shiliang Pu, Yi Niu, Wenqi Ren, Fei Wu, Wenming Tan:
Reciprocal Feature Learning via Explicit and Implicit Tasks in Scene Text Recognition. CoRR abs/2105.06229 (2021) - [i114]Xiaofei Sun, Yuxian Meng, Xiang Ao, Fei Wu, Tianwei Zhang, Jiwei Li, Chun Fan:
Sentence Similarity Based on Contexts. CoRR abs/2105.07623 (2021) - [i113]Leilei Gan, Yuxian Meng, Kun Kuang, Xiaofei Sun, Chun Fan, Fei Wu, Jiwei Li:
Dependency Parsing as MRC-based Span-Span Prediction. CoRR abs/2105.07654 (2021) - [i112]Huanding Zhang, Tao Shen, Fei Wu, Mingyang Yin, Hongxia Yang, Chao Wu:
Federated Graph Learning - A Position Paper. CoRR abs/2105.11099 (2021) - [i111]Qi Tian, Kun Kuang, Kelu Jiang, Fei Wu, Yisen Wang:
Analysis and Applications of Class-wise Robustness in Adversarial Training. CoRR abs/2105.14240 (2021) - [i110]Shuhe Wang, Yuxian Meng, Xiaofei Sun, Fei Wu, Rongbin Ouyang, Rui Yan, Tianwei Zhang, Jiwei Li:
Modeling Text-visual Mutual Dependency for Multi-modal Dialog Generation. CoRR abs/2105.14445 (2021) - [i109]Chun Fan, Yuxian Meng, Xiaofei Sun, Fei Wu, Tianwei Zhang, Jiwei Li:
Parameter Estimation for the SEIR Model Using Recurrent Nets. CoRR abs/2105.14524 (2021) - [i108]Yuxian Meng, Xiaoya Li, Xiayu Zheng, Fei Wu, Xiaofei Sun, Tianwei Zhang, Jiwei Li:
Fast Nearest Neighbor Machine Translation. CoRR abs/2105.14528 (2021) - [i107]Jiahui Li, Kun Kuang, Baoxiang Wang, Furui Liu, Long Chen, Fei Wu, Jun Xiao:
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning. CoRR abs/2106.00285 (2021) - [i106]Chun Fan, Xiaoya Li, Yuxian Meng, Xiaofei Sun, Xiang Ao, Fei Wu, Jiwei Li, Tianwei Zhang:
Defending against Backdoor Attacks in Natural Language Generation. CoRR abs/2106.01810 (2021) - [i105]Tao Chen, Haizhou Shi, Siliang Tang, Zhigang Chen, Fei Wu, Yueting Zhuang:
CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction. CoRR abs/2106.10855 (2021) - [i104]Zijun Sun, Xiaoya Li, Xiaofei Sun, Yuxian Meng, Xiang Ao, Qing He, Fei Wu, Jiwei Li:
ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information. CoRR abs/2106.16038 (2021) - [i103]Junkun Yuan, Anpeng Wu, Kun Kuang, Bo Li, Runze Wu, Fei Wu, Lanfen Lin:
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition. CoRR abs/2107.05884 (2021) - [i102]Zhanzhan Cheng, Jing Lu, Baorui Zou, Shuigeng Zhou, Fei Wu:
ICDAR 2021 Competition on Scene Video Text Spotting. CoRR abs/2107.11919 (2021) - [i101]Juncheng Li, Siliang Tang, Linchao Zhu, Haochen Shi, Xuanwen Huang, Fei Wu, Yi Yang, Yueting Zhuang:
Adaptive Hierarchical Graph Reasoning with Semantic Coherence for Video-and-Language Inference. CoRR abs/2107.12270 (2021) - [i100]Chun Fan, Jiwei Li, Xiang Ao, Fei Wu, Yuxian Meng, Xiaofei Sun:
Layer-wise Model Pruning based on Mutual Information. CoRR abs/2108.12594 (2021) - [i99]Xiaoya Li, Jiwei Li, Xiaofei Sun, Chun Fan, Tianwei Zhang, Fei Wu, Yuxian Meng, Jun Zhang:
kFolden: k-Fold Ensemble for Out-Of-Distribution Detection. CoRR abs/2108.12731 (2021) - [i98]Yuxian Meng, Xiang Ao, Qing He, Xiaofei Sun, Qinghong Han, Fei Wu, Chun Fan, Jiwei Li:
ConRPG: Paraphrase Generation using Contexts as Regularizer. CoRR abs/2109.00363 (2021) - [i97]Chun Fan, Yufei Tian, Yuxian Meng, Nanyun Peng, Xiaofei Sun, Fei Wu, Jiwei Li:
Paraphrase Generation as Unsupervised Machine Translation. CoRR abs/2109.02950 (2021) - [i96]Shengyu Zhang, Dong Yao, Zhou Zhao, Tat-Seng Chua, Fei Wu:
CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation. CoRR abs/2109.05261 (2021) - [i95]Jiahao Xun, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Qi Zhang, Jingjie Li, Xiuqiang He, Xiaofei He, Tat-Seng Chua, Fei Wu:
Why Do We Click: Visual Impression-aware News Recommendation. CoRR abs/2109.12651 (2021) - [i94]Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin:
Domain-Specific Bias Filtering for Single Labeled Domain Generalization. CoRR abs/2110.00726 (2021) - [i93]