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ORCIDChang Zhou
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2020 – today
- 2024
[j44]Yuanjun Xiao, Jingfeng Huang, Wei Weng, Ran Huang, Qi Shao
, Chang Zhou, Shengcheng Li:
Class imbalance: A crucial factor affecting the performance of tea plantations mapping by machine learning. Int. J. Appl. Earth Obs. Geoinformation 129: 103849 (2024)- [j43]Chang Zhou, Jingfeng Huang, Yuanjun Xiao, Meiqi Du, Shengcheng Li:
A novel approach: Coupling prior knowledge and deep learning methods for large-scale plastic greenhouse extraction using Sentinel-1/2 data. Int. J. Appl. Earth Obs. Geoinformation 132: 104073 (2024) - [j42]Chang Zhou, Longfei Wang, Baibo Wu, Kai Xu:
A Markerless 3D Tracking Framework for Continuum Surgical Tools Using a Surgical Tool Partial Pose Estimation Network Based on Domain Randomization. Adv. Intell. Syst. 6(4) (2024) - [j41]Chao Gao, Yongtao Shi, Chang Zhou, Bangjun Lei, Daisy Thembelihle Mukondiwa:
Joint task semi-supervised semantic segmentation for TRUS image. Biomed. Signal Process. Control. 88(Part A): 105654 (2024) - [j40]Kun Tian, Chang Zhou, Jun Zhang:
Improved LEACH Protocol Based on Underwater Energy Propagation Model, Parallel Transmission, and Replication Computing for Underwater Acoustic Sensor Networks. Sensors 24(2): 556 (2024) - [c77]Chao Chen, Jie Liu, Chang Zhou, Jie Tang, Gangshan Wu:
Sketch and Refine: Towards Fast and Accurate Lane Detection. AAAI 2024: 1001-1009 - [c76]Xiaolong Shen, Jianxin Ma, Chang Zhou, Zongxin Yang:
Controllable 3D Face Generation with Conditional Style Code Diffusion. AAAI 2024: 4811-4819 - [c75]Yi Shen, Hao Liu, Chang Zhou, Wentao Wang, Zijun Gao, Qi Wang:
Deep Learning Powered Estimate of The Extrinsic Parameters on Unmanned Surface Vehicles. ACIRS 2024: 6-10 - [c74]Hongyi Yuan, Keming Lu, Fei Huang, Zheng Yuan, Chang Zhou:
Speculative Contrastive Decoding. ACL (Short Papers) 2024: 56-64 - [c73]Guanting Dong, Hongyi Yuan, Keming Lu, Chengpeng Li, Mingfeng Xue, Dayiheng Liu, Wei Wang, Zheng Yuan, Chang Zhou, Jingren Zhou:
How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition. ACL (1) 2024: 177-198 - [c72]Qian Yang, Jin Xu, Wenrui Liu, Yunfei Chu, Ziyue Jiang, Xiaohuan Zhou, Yichong Leng, Yuanjun Lv, Zhou Zhao, Chang Zhou, Jingren Zhou:
AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension. ACL (1) 2024: 1979-1998 - [c71]Tingyu Xia, Bowen Yu, Yuan Wu, Yi Chang, Chang Zhou:
Language Models can Evaluate Themselves via Probability Discrepancy. ACL (Findings) 2024: 4889-4901 - [c70]Keming Lu, Bowen Yu, Chang Zhou, Jingren Zhou:
Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment. ACL (1) 2024: 7828-7840 - [c69]Jiaxi Yang, Binyuan Hui, Min Yang, Jian Yang, Junyang Lin, Chang Zhou:
Synthesizing Text-to-SQL Data from Weak and Strong LLMs. ACL (1) 2024: 7864-7875 - [c68]Chengpeng Li, Zheng Yuan, Hongyi Yuan, Guanting Dong, Keming Lu, Jiancan Wu, Chuanqi Tan, Xiang Wang, Chang Zhou:
MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning. ACL (1) 2024: 10230-10258 - [c67]Keming Lu, Hongyi Yuan, Zheng Yuan, Runji Lin, Junyang Lin, Chuanqi Tan, Chang Zhou, Jingren Zhou:
#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models. ICLR 2024 - [c66]Chenxin An, Fei Huang, Jun Zhang, Shansan Gong, Xipeng Qiu, Chang Zhou, Lingpeng Kong:
Training-Free Long-Context Scaling of Large Language Models. ICML 2024 - [c65]Qinke Ni, Hongyu Zhang, Cunhang Fan, Shengbing Pei, Chang Zhou, Zhao Lv:
DBPNet: Dual-Branch Parallel Network with Temporal-Frequency Fusion for Auditory Attention Detection. IJCAI 2024: 3115-3123 - [c64]Keming Lu, Hongyi Yuan, Runji Lin, Junyang Lin, Zheng Yuan, Chang Zhou, Jingren Zhou:
Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models. NAACL-HLT 2024: 1964-1974 - [c63]Xingtong Yu, Chang Zhou, Yuan Fang, Xinming Zhang:
MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs. WWW 2024: 515-526 - [i90]Keming Lu, Bowen Yu, Chang Zhou, Jingren Zhou:
Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment. CoRR abs/2401.12474 (2024) - [i89]Chao Chen, Jie Liu, Chang Zhou, Jie Tang, Gangshan Wu:
Sketch and Refine: Towards Fast and Accurate Lane Detection. CoRR abs/2401.14729 (2024) - [i88]Qian Yang, Jin Xu, Wenrui Liu, Yunfei Chu, Ziyue Jiang, Xiaohuan Zhou, Yichong Leng, Yuanjun Lv, Zhou Zhao, Chang Zhou, Jingren Zhou:
AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension. CoRR abs/2402.07729 (2024) - [i87]Jonathan W. Lee, Han Wang, Kathy Jang, Amaury Hayat, Matthew R. Bunting, Arwa Alanqary, William Barbour, Zhe Fu, Xiaoqian Gong, George Gunter, Sharon Hornstein, Abdul Rahman Kreidieh, Nathan Lichtlé, Matthew Walter Nice, William A. Richardson, Adit Shah, Eugene Vinitsky, Fangyu Wu, Shengquan Xiang, Sulaiman Almatrudi, Fahd Althukair, Rahul Bhadani, Joy Carpio, Raphaël Chekroun, Eric Cheng, Maria Teresa Chiri, Fang-Chieh Chou, Ryan Delorenzo, Marsalis T. Gibson, Derek Gloudemans, Anish Gollakota, Junyi Ji, Alexander Keimer, Nour Khoudari, Malaika Mahmood, Mikail Mahmood, Hossein Nick Zinat Matin, Sean T. McQuade, Rabie Ramadan, Daniel Urieli, Xia Wang, Yanbing Wang, Rita Xu, Mengsha Yao, Yiling You, Gergely Zachár, Yibo Zhao, Mostafa Ameli, Mirza Najamuddin Baig, Sarah Bhaskaran, Kenneth Butts, Manasi Gowda, Caroline Janssen, John Lee, Liam Pedersen, Riley Wagner, Zimo Zhang, Chang Zhou, Daniel B. Work, Benjamin Seibold, Jonathan Sprinkle, Benedetto Piccoli, Maria Laura Delle Monache, Alexandre M. Bayen:
Traffic Control via Connected and Automated Vehicles: An Open-Road Field Experiment with 100 CAVs. CoRR abs/2402.17043 (2024) - [i86]Chenxin An, Fei Huang, Jun Zhang, Shansan Gong, Xipeng Qiu, Chang Zhou, Lingpeng Kong:
Training-Free Long-Context Scaling of Large Language Models. CoRR abs/2402.17463 (2024) - [i85]Liang Chen, Haozhe Zhao, Tianyu Liu, Shuai Bai, Junyang Lin, Chang Zhou, Baobao Chang:
An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models. CoRR abs/2403.06764 (2024) - [i84]Hao Liu, Yi Shen, Wenjing Zhou, Yuelin Zou, Chang Zhou, Shuyao He:
Adaptive speed planning for Unmanned Vehicle Based on Deep Reinforcement Learning. CoRR abs/2404.17379 (2024) - [i83]Yi Shen, Hao Liu, Xinxin Liu, Wenjing Zhou, Chang Zhou, Yizhou Chen:
Localization Through Particle Filter Powered Neural Network Estimated Monocular Camera Poses. CoRR abs/2404.17685 (2024) - [i82]Jinyin Wang, Xingchen Li, Yixuan Jin, Yihao Zhong, Keke Zhang, Chang Zhou:
Research on Image Recognition Technology Based on Multimodal Deep Learning. CoRR abs/2405.03091 (2024) - [i81]Wenhan Fan, Zhicheng Ding, Ruixin Huang, Chang Zhou, Xuyang Zhang:
Improved AdaBoost for Virtual Reality Experience Prediction Based on Long Short-Term Memory Network. CoRR abs/2405.10515 (2024) - [i80]Tingyu Xia, Bowen Yu, Yuan Wu, Yi Chang, Chang Zhou:
Language Models can Evaluate Themselves via Probability Discrepancy. CoRR abs/2405.10516 (2024) - [i79]Chang Zhou, Yang Zhao, Jin Cao, Yi Shen, Xiaoling Cui, Chiyu Cheng:
Optimizing Search Advertising Strategies: Integrating Reinforcement Learning with Generalized Second-Price Auctions for Enhanced Ad Ranking and Bidding. CoRR abs/2405.13381 (2024) - [i78]Xingtong Yu, Chang Zhou, Yuan Fang, Xinming Zhang:
Text-Free Multi-domain Graph Pre-training: Toward Graph Foundation Models. CoRR abs/2405.13934 (2024) - [i77]Hao Liu, Yi Shen, Chang Zhou, Yuelin Zou, Zijun Gao, Qi Wang:
TD3 Based Collision Free Motion Planning for Robot Navigation. CoRR abs/2405.15460 (2024) - [i76]Keming Lu, Bowen Yu, Fei Huang, Yang Fan, Runji Lin, Chang Zhou:
Online Merging Optimizers for Boosting Rewards and Mitigating Tax in Alignment. CoRR abs/2405.17931 (2024) - [i75]Yi Shen, Hao Liu, Chang Zhou, Wentao Wang, Zijun Gao, Qi Wang:
Deep Learning Powered Estimate of The Extrinsic Parameters on Unmanned Surface Vehicles. CoRR abs/2406.04821 (2024) - [i74]Chang Zhou, Yang Zhao, Yuelin Zou, Jin Cao, Wenhan Fan, Yi Zhao, Chiyu Cheng:
Predict Click-Through Rates with Deep Interest Network Model in E-commerce Advertising. CoRR abs/2406.10239 (2024) - [i73]Zhe Yang, Yichang Zhang, Tianyu Liu, Jian Yang, Junyang Lin, Chang Zhou, Zhifang Sui:
Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones? CoRR abs/2406.12809 (2024) - [i72]Guanting Dong, Keming Lu, Chengpeng Li, Tingyu Xia, Bowen Yu, Chang Zhou, Jingren Zhou:
Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models. CoRR abs/2406.13542 (2024) - [i71]Bofei Gao, Zefan Cai, Runxin Xu, Peiyi Wang, Ce Zheng, Runji Lin, Keming Lu, Junyang Lin, Chang Zhou, Wen Xiao, Junjie Hu, Tianyu Liu, Baobao Chang:
LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback. CoRR abs/2406.14024 (2024) - [i70]Chang Zhou, Yang Zhao, Shaobo Liu, Yi Zhao, Xingchen Li, Chiyu Cheng:
Research on Driver Facial Fatigue Detection Based on Yolov8 Model. CoRR abs/2406.18575 (2024) - [i69]Yang Zhao, Chang Zhou, Jin Cao, Yi Zhao, Shaobo Liu, Chiyu Cheng, Xingchen Li:
Multi-Scenario Combination Based on Multi-Agent Reinforcement Learning to Optimize the Advertising Recommendation System. CoRR abs/2407.02759 (2024) - [i68]An Yang, Baosong Yang, Binyuan Hui, Bo Zheng, Bowen Yu, Chang Zhou, Chengpeng Li, Chengyuan Li, Dayiheng Liu, Fei Huang, Guanting Dong, Haoran Wei, Huan Lin, Jialong Tang, Jialin Wang, Jian Yang, Jianhong Tu, Jianwei Zhang, Jianxin Ma, Jianxin Yang, Jin Xu, Jingren Zhou, Jinze Bai, Jinzheng He, Junyang Lin, Kai Dang, Keming Lu, Keqin Chen, Kexin Yang, Mei Li, Mingfeng Xue, Na Ni, Pei Zhang, Peng Wang, Ru Peng, Rui Men, Ruize Gao, Runji Lin, Shijie Wang, Shuai Bai, Sinan Tan, Tianhang Zhu, Tianhao Li, Tianyu Liu, Wenbin Ge, Xiaodong Deng, Xiaohuan Zhou, Xingzhang Ren, Xinyu Zhang, Xipin Wei, Xuancheng Ren, Xuejing Liu, Yang Fan, Yang Yao, Yichang Zhang, Yu Wan, Yunfei Chu, Yuqiong Liu, Zeyu Cui, Zhenru Zhang, Zhifang Guo, Zhihao Fan:
Qwen2 Technical Report. CoRR abs/2407.10671 (2024) - [i67]Yunfei Chu, Jin Xu, Qian Yang, Haojie Wei, Xipin Wei, Zhifang Guo, Yichong Leng, Yuanjun Lv, Jinzheng He, Junyang Lin, Chang Zhou, Jingren Zhou:
Qwen2-Audio Technical Report. CoRR abs/2407.10759 (2024) - [i66]Jiaxi Yang, Binyuan Hui, Min Yang, Jian Yang, Junyang Lin, Chang Zhou:
Synthesizing Text-to-SQL Data from Weak and Strong LLMs. CoRR abs/2408.03256 (2024) - [i65]Chenhan Yuan, Fei Huang, Ru Peng, Keming Lu, Bowen Yu, Chang Zhou, Jingren Zhou:
Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model. CoRR abs/2408.10764 (2024) - [i64]Peng Wang, Shuai Bai, Sinan Tan, Shijie Wang, Zhihao Fan, Jinze Bai, Keqin Chen, Xuejing Liu, Jialin Wang, Wenbin Ge, Yang Fan, Kai Dang, Mengfei Du, Xuancheng Ren, Rui Men, Dayiheng Liu, Chang Zhou, Jingren Zhou, Junyang Lin:
Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution. CoRR abs/2409.12191 (2024) - [i63]Hongcheng Guo, Wei Zhang, Junhao Chen, Yaonan Gu, Jian Yang, Junjia Du, Binyuan Hui, Tianyu Liu, Jianxin Ma, Chang Zhou, Zhoujun Li:
IW-Bench: Evaluating Large Multimodal Models for Converting Image-to-Web. CoRR abs/2409.18980 (2024) - 2023
- [j39]Jingjing Xiong, Lai-Man Po, Wing Yin Yu, Chang Zhou, Pengfei Xian, Weifeng Ou:
CSRNet: Cascaded Selective Resolution Network for real-time semantic segmentation. Expert Syst. Appl. 211: 118537 (2023) - [j38]Yunbin Tu, Chang Zhou, Junjun Guo, Huafeng Li, Shengxiang Gao, Zhengtao Yu:
Relation-aware attention for video captioning via graph learning. Pattern Recognit. 136: 109204 (2023) - [j37]Longfei Wang, Chang Zhou, Yuzhen Cao, Ren Zhao, Kai Xu:
Vision-Based Markerless Tracking for Continuum Surgical Instruments in Robot-Assisted Minimally Invasive Surgery. IEEE Robotics Autom. Lett. 8(11): 7202-7209 (2023) - [j36]Yuanjun Xiao, Shengcheng Li, Jingfeng Huang, Ran Huang, Chang Zhou:
A New Framework for the Reconstruction of Daily 1 km Land Surface Temperatures from 2000 to 2022. Remote. Sens. 15(20): 4982 (2023) - [j35]Zhengxiao Du, Chang Zhou, Jiangchao Yao, Teng Tu, Letian Cheng, Hongxia Yang, Jingren Zhou, Jie Tang:
CogKR: Cognitive Graph for Multi-Hop Knowledge Reasoning. IEEE Trans. Knowl. Data Eng. 35(2): 1283-1295 (2023) - [j34]Zhen Yang, Ming Ding, Xu Zou, Jie Tang, Bin Xu, Chang Zhou, Hongxia Yang:
Region or Global? A Principle for Negative Sampling in Graph-Based Recommendation. IEEE Trans. Knowl. Data Eng. 35(6): 6264-6277 (2023) - [c62]Hao Yang, Junyang Lin, An Yang, Peng Wang, Chang Zhou:
Prompt Tuning for Unified Multimodal Pretrained Models. ACL (Findings) 2023: 402-416 - [c61]Junyang Lin, Xuancheng Ren, Yichang Zhang, Gao Liu, Peng Wang, An Yang, Chang Zhou:
Transferring General Multimodal Pretrained Models to Text Recognition. ACL (Findings) 2023: 588-597 - [c60]Xiaolong Shen, Zongxin Yang, Xiaohan Wang, Jianxin Ma, Chang Zhou, Yi Yang:
Global-to-Local Modeling for Video-Based 3D Human Pose and Shape Estimation. CVPR 2023: 8887-8896 - [c59]Xiao Pan, Zongxin Yang, Jianxin Ma, Chang Zhou, Yi Yang:
TransHuman: A Transformer-based Human Representation for Generalizable Neural Human Rendering. ICCV 2023: 3521-3532 - [c58]Jiahao Li, Zongxin Yang, Xiaohan Wang, Jianxin Ma, Chang Zhou, Yi Yang:
JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human Mesh Recovery. ICCV 2023: 9076-9087 - [c57]Chang Zhou, Jie Liu, Jie Tang, Gangshan Wu:
Video Frame Interpolation with Densely Queried Bilateral Correlation. IJCAI 2023: 1786-1794 - [c56]Xiaohuan Zhou, Jiaming Wang, Zeyu Cui, Shiliang Zhang, Zhijie Yan, Jingren Zhou, Chang Zhou:
MMSpeech: Multi-modal Multi-task Encoder-Decoder Pre-training for speech recognition. INTERSPEECH 2023: 4943-4947 - [c55]Yukang Gan, Yixiao Ge, Chang Zhou, Shupeng Su, Zhouchuan Xu, Xuyuan Xu, Quanchao Hui, Xiang Chen, Yexin Wang, Ying Shan:
Binary Embedding-based Retrieval at Tencent. KDD 2023: 4056-4067 - [c54]Rui Gu, Huiying Zhao, Chang Zhou:
Interventions to Reduce Misinformation Dissemination on Social Media: A Systematic Literature Review. PACIS 2023: 149 - [c53]Yulin Zhang, Baibo Wu, Chang Zhou, Kai Xu:
Automatic Parking for a Surgical Robotic Patient-Side Cart Using Monocular Vision. ROBIO 2023: 1-6 - [c52]Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Zhongming Yu, Hengrui Zhang, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Yuxiao Dong, Yang Yang, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang:
CogDL: A Comprehensive Library for Graph Deep Learning. WWW 2023: 747-758 - [i62]Yukang Gan, Yixiao Ge, Chang Zhou, Shupeng Su, Zhouchuan Xu, Xuyuan Xu, Quanchao Hui, Xiang Chen, Yexin Wang, Ying Shan:
Binary Embedding-based Retrieval at Tencent. CoRR abs/2302.08714 (2023) - [i61]Xiaolong Shen, Zongxin Yang, Xiaohan Wang, Jianxin Ma, Chang Zhou, Yi Yang:
Global-to-Local Modeling for Video-based 3D Human Pose and Shape Estimation. CoRR abs/2303.14747 (2023) - [i60]Chang Zhou, Jie Liu, Jie Tang, Gangshan Wu:
Video Frame Interpolation with Densely Queried Bilateral Correlation. CoRR abs/2304.13596 (2023) - [i59]Peng Wang, Shijie Wang, Junyang Lin, Shuai Bai, Xiaohuan Zhou, Jingren Zhou, Xinggang Wang, Chang Zhou:
ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities. CoRR abs/2305.11172 (2023) - [i58]Benfeng Xu, An Yang, Junyang Lin, Quan Wang, Chang Zhou, Yongdong Zhang, Zhendong Mao:
ExpertPrompting: Instructing Large Language Models to be Distinguished Experts. CoRR abs/2305.14688 (2023) - [i57]Xiao Pan, Zongxin Yang, Jianxin Ma, Chang Zhou, Yi Yang:
TransHuman: A Transformer-based Human Representation for Generalizable Neural Human Rendering. CoRR abs/2307.12291 (2023) - [i56]Jiahao Li, Zongxin Yang, Xiaohan Wang, Jianxin Ma, Chang Zhou, Yi Yang:
JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human Mesh Recovery. CoRR abs/2307.16377 (2023) - [i55]Zheng Yuan, Hongyi Yuan, Chengpeng Li, Guanting Dong, Chuanqi Tan, Chang Zhou:
Scaling Relationship on Learning Mathematical Reasoning with Large Language Models. CoRR abs/2308.01825 (2023) - [i54]Keming Lu, Hongyi Yuan, Zheng Yuan, Runji Lin, Junyang Lin, Chuanqi Tan, Chang Zhou, Jingren Zhou:
#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models. CoRR abs/2308.07074 (2023) - [i53]Jinze Bai, Shuai Bai, Shusheng Yang, Shijie Wang, Sinan Tan, Peng Wang, Junyang Lin, Chang Zhou, Jingren Zhou:
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities. CoRR abs/2308.12966 (2023) - [i52]Shuai Bai, Shusheng Yang, Jinze Bai, Peng Wang, Xingxuan Zhang, Junyang Lin, Xinggang Wang, Chang Zhou, Jingren Zhou:
TouchStone: Evaluating Vision-Language Models by Language Models. CoRR abs/2308.16890 (2023) - [i51]Jinze Bai, Shuai Bai, Yunfei Chu, Zeyu Cui, Kai Dang, Xiaodong Deng, Yang Fan, Wenbin Ge, Yu Han, Fei Huang, Binyuan Hui, Luo Ji, Mei Li, Junyang Lin, Runji Lin, Dayiheng Liu, Gao Liu, Chengqiang Lu, Keming Lu, Jianxin Ma, Rui Men, Xingzhang Ren, Xuancheng Ren, Chuanqi Tan, Sinan Tan, Jianhong Tu, Peng Wang, Shijie Wang, Wei Wang, Shengguang Wu, Benfeng Xu, Jin Xu, An Yang, Hao Yang, Jian Yang, Shusheng Yang, Yang Yao, Bowen Yu, Hongyi Yuan, Zheng Yuan, Jianwei Zhang, Xingxuan Zhang, Yichang Zhang, Zhenru Zhang, Chang Zhou, Jingren Zhou, Xiaohuan Zhou, Tianhang Zhu:
Qwen Technical Report. CoRR abs/2309.16609 (2023) - [i50]Jiaming Wang, Zhihao Du, Qian Chen, Yunfei Chu, Zhifu Gao, Zerui Li, Kai Hu, Xiaohuan Zhou, Jin Xu, Ziyang Ma, Wen Wang, Siqi Zheng, Chang Zhou, Zhijie Yan, Shiliang Zhang:
LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT. CoRR abs/2310.04673 (2023) - [i49]Guanting Dong, Hongyi Yuan, Keming Lu, Chengpeng Li, Mingfeng Xue, Dayiheng Liu, Wei Wang, Zheng Yuan, Chang Zhou, Jingren Zhou:
How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition. CoRR abs/2310.05492 (2023) - [i48]Chengpeng Li, Zheng Yuan, Hongyi Yuan, Guanting Dong, Keming Lu, Jiancan Wu, Chuanqi Tan, Xiang Wang, Chang Zhou:
Query and Response Augmentation Cannot Help Out-of-domain Math Reasoning Generalization. CoRR abs/2310.05506 (2023) - [i47]Mingfeng Xue, Dayiheng Liu, Kexin Yang, Guanting Dong, Wenqiang Lei, Zheng Yuan, Chang Zhou, Jingren Zhou:
OccuQuest: Mitigating Occupational Bias for Inclusive Large Language Models. CoRR abs/2310.16517 (2023) - [i46]Yunfei Chu, Jin Xu, Xiaohuan Zhou, Qian Yang, Shiliang Zhang, Zhijie Yan, Chang Zhou, Jingren Zhou:
Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models. CoRR abs/2311.07919 (2023) - [i45]Shengguang Wu, Keming Lu, Benfeng Xu, Junyang Lin, Qi Su, Chang Zhou:
Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning. CoRR abs/2311.08182 (2023) - [i44]Keming Lu, Hongyi Yuan, Runji Lin, Junyang Lin, Zheng Yuan, Chang Zhou, Jingren Zhou:
Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models. CoRR abs/2311.08692 (2023) - [i43]Hongyi Yuan, Keming Lu, Fei Huang, Zheng Yuan, Chang Zhou:
Speculative Contrastive Decoding. CoRR abs/2311.08981 (2023) - [i42]Xingtong Yu, Chang Zhou, Yuan Fang, Xinming Zhang:
MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs. CoRR abs/2312.03731 (2023) - [i41]Xiaolong Shen, Jianxin Ma, Chang Zhou, Zongxin Yang:
Controllable 3D Face Generation with Conditional Style Code Diffusion. CoRR abs/2312.13941 (2023) - 2022
- [j33]Chang Zhou, Yunhui Yin, Ziwen Liu, Kaifeng Zhang:
Extended Disturbance-Observer-Based Virtual Synchronization Control Strategy for Distributed Generation Clusters. IEEE Access 10: 101988-101998 (2022) - [j32]Pengfei Xian, Lai-Man Po, Jingjing Xiong, Chang Zhou, Yuzhi Zhao, Wing Yin Yu, Weifeng Ou, Yujia Zhang, Xiaori Zhang:
Pixel Voting Decoder: A novel decoder that regresses pixel relationships for segmentation. Expert Syst. Appl. 193: 116438 (2022) - [j31]Chang Zhou, Huimei Lu, Yong Xiang, Jingbang Wu, Feng Wang:
Geohash-Based Rapid Query Method of Regional Transactions in Blockchain for Internet of Vehicles. Sensors 22(22): 8885 (2022) - [j30]Weifeng Ou, Lai-Man Po, Chang Zhou, Pengfei Xian, Jingjing Xiong:
GAN-Based Inter-Class Sample Generation for Contrastive Learning of Vein Image Representations. IEEE Trans. Biom. Behav. Identity Sci. 4(2): 249-262 (2022) - [j29]Chang Zhou, Lai Man Po, Weifeng Ou:
Angular Deep Supervised Vector Quantization for Image Retrieval. IEEE Trans. Neural Networks Learn. Syst. 33(4): 1638-1649 (2022) - [c51]Shuai Bai, Huiling Zhou, Zhikang Li, Chang Zhou, Hongxia Yang:
Single Stage Virtual Try-On Via Deformable Attention Flows. ECCV (15) 2022: 409-425 - [c50]Yu Huang, Junyang Lin, Chang Zhou, Hongxia Yang, Longbo Huang:
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably). ICML 2022: 9226-9259 - [c49]Peng Wang, An Yang, Rui Men, Junyang Lin, Shuai Bai, Zhikang Li, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang:
OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework. ICML 2022: 23318-23340 - [c48]Xiao Pan, Peike Li, Zongxin Yang, Huiling Zhou, Chang Zhou, Hongxia Yang, Jingren Zhou, Yi Yang:
In-N-Out Generative Learning for Dense Unsupervised Video Segmentation. ACM Multimedia 2022: 1819-1827 - [c47]Yulei Niu, Long Chen, Chang Zhou, Hanwang Zhang:
Respecting Transfer Gap in Knowledge Distillation. NeurIPS 2022 - [c46]Xiang Wang, Yue Ding, Chang Zhou, Kai Xu:
FABRIKc Delta: Extending the FABRIKc Algorithm to Solve the Forward Kinematics of a Continuum Delta Robot. ROBIO 2022: 2009-2014 - [c45]Chang Zhou, Longfei Wang, Yulin Zhang, Xinjun Sheng, Kai Xu:
FC-DenseNet-Based Photometric Stereo for Endoscopes with Close-range Non-parallel Light Illumination. ROBIO 2022: 2159-2164 - [i40]Peng Wang, An Yang, Rui Men, Junyang Lin, Shuai Bai, Zhikang Li, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang:
Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework. CoRR abs/2202.03052 (2022) - [i39]Yu Huang, Junyang Lin, Chang Zhou, Hongxia Yang, Longbo Huang:
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably). CoRR abs/2203.12221 (2022) - [i38]Xiao Pan, Peike Li, Zongxin Yang, Huiling Zhou, Chang Zhou, Hongxia Yang, Jingren Zhou, Yi Yang:
In-N-Out Generative Learning for Dense Unsupervised Video Segmentation. CoRR abs/2203.15312 (2022) - [i37]Zeyu Cui, Jianxin Ma, Chang Zhou, Jingren Zhou, Hongxia Yang:
M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems. CoRR abs/2205.08084 (2022) - [i36]Zhikang Li, Huiling Zhou, Shuai Bai, Peike Li, Chang Zhou, Hongxia Yang:
M6-Fashion: High-Fidelity Multi-modal Image Generation and Editing. CoRR abs/2205.11705 (2022) - [i35]Yuezihan Jiang, Hao Yang, Junyang Lin, Hanyu Zhao, An Yang, Chang Zhou, Hongxia Yang, Zhi Yang, Bin Cui:
Instance-wise Prompt Tuning for Pretrained Language Models. CoRR abs/2206.01958 (2022) - [i34]Shuai Bai, Huiling Zhou, Zhikang Li, Chang Zhou, Hongxia Yang:
Single Stage Virtual Try-on via Deformable Attention Flows. CoRR abs/2207.09161 (2022) - [i33]Hao Yang, Junyang Lin, An Yang, Peng Wang, Chang Zhou, Hongxia Yang:
Prompt Tuning for Generative Multimodal Pretrained Models. CoRR abs/2208.02532 (2022) - [i32]Yulei Niu, Long Chen, Chang Zhou, Hanwang Zhang:
Respecting Transfer Gap in Knowledge Distillation. CoRR abs/2210.12787 (2022) - [i31]An Yang, Junshu Pan, Junyang Lin, Rui Men, Yichang Zhang, Jingren Zhou, Chang Zhou:
Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese. CoRR abs/2211.01335 (2022) - [i30]Jianhong Tu, Zeyu Cui, Xiaohuan Zhou, Siqi Zheng, Kai Hu, Ju Fan, Chang Zhou:
Contextual Expressive Text-to-Speech. CoRR abs/2211.14548 (2022) - [i29]Xiaohuan Zhou, Jiaming Wang, Zeyu Cui, Shiliang Zhang, Zhijie Yan, Jingren Zhou, Chang Zhou:
MMSpeech: Multi-modal Multi-task Encoder-Decoder Pre-training for Speech Recognition. CoRR abs/2212.00500 (2022) - [i28]Jianxin Ma, Shuai Bai, Chang Zhou:
Pretrained Diffusion Models for Unified Human Motion Synthesis. CoRR abs/2212.02837 (2022) - [i27]Jinze Bai, Rui Men, Hao Yang, Xuancheng Ren, Kai Dang, Yichang Zhang, Xiaohuan Zhou, Peng Wang, Sinan Tan, An Yang, Zeyu Cui, Yu Han, Shuai Bai, Wenbin Ge, Jianxin Ma, Junyang Lin, Jingren Zhou, Chang Zhou:
OFASys: A Multi-Modal Multi-Task Learning System for Building Generalist Models. CoRR abs/2212.04408 (2022) - [i26]Junyang Lin, Xuancheng Ren, Yichang Zhang, Gao Liu, Peng Wang, An Yang, Chang Zhou:
Transferring General Multimodal Pretrained Models to Text Recognition. CoRR abs/2212.09297 (2022) - 2021
- [j28]Weifeng Ou, Lai-Man Po, Chang Zhou, Yasar Abbas Ur Rehman, Pengfei Xian, Yujia Zhang:
Fusion loss and inter-class data augmentation for deep finger vein feature learning. Expert Syst. Appl. 171: 114584 (2021) - [j27]Chang Zhou, Lai-Man Po, Weifeng Ou, Pengfei Xian, Kwok-Wai Cheung:
Deep triplet residual quantization. Expert Syst. Appl. 184: 115467 (2021) - [j26]Chunnan Wang, Hongzhi Wang, Chang Zhou, Hanxiao Chen:
ExperienceThinking: Constrained hyperparameter optimization based on knowledge and pruning. Knowl. Based Syst. 223: 106602 (2021) - [j25]Yunbin Tu, Chang Zhou, Junjun Guo, Shengxiang Gao, Zhengtao Yu:
Enhancing the alignment between target words and corresponding frames for video captioning. Pattern Recognit. 111: 107702 (2021) - [j24]Wantian Wang, Yong Zhu, Ziyue Tang, Yi-Chang Chen, Zhenbo Zhu, Yongjian Sun, Chang Zhou:
Efficient Rotational Angular Velocity Estimation of Rotor Target via Modified Short-Time Fractional Fourier Transform. Remote. Sens. 13(10): 1970 (2021) - [c44]Peng Wang, Junyang Lin, An Yang, Chang Zhou, Yichang Zhang, Jingren Zhou, Hongxia Yang:
Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation. ACL/IJCNLP (Findings) 2021: 4831-4843 - [c43]Shuai Bai, Zhedong Zheng, Xiaohan Wang, Junyang Lin, Zhu Zhang, Chang Zhou, Hongxia Yang, Yi Yang:
Connecting Language and Vision for Natural Language-Based Vehicle Retrieval. CVPR Workshops 2021: 4034-4043 - [c42]Tan Wang, Chang Zhou, Qianru Sun, Hanwang Zhang:
Causal Attention for Unbiased Visual Recognition. ICCV 2021: 3071-3080 - [c41]Zhu Zhang, Chang Zhou, Jianxin Ma, Zhijie Lin, Jingren Zhou, Hongxia Yang, Zhou Zhao:
Learning to Rehearse in Long Sequence Memorization. ICML 2021: 12663-12673 - [c40]Qingsong Lv, Ming Ding, Qiang Liu, Yuxiang Chen, Wenzheng Feng, Siming He, Chang Zhou, Jianguo Jiang, Yuxiao Dong, Jie Tang:
Are we really making much progress?: Revisiting, benchmarking and refining heterogeneous graph neural networks. KDD 2021: 1150-1160 - [c39]Junyang Lin, Rui Men, An Yang, Chang Zhou, Yichang Zhang, Peng Wang, Jingren Zhou, Jie Tang, Hongxia Yang:
M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining. KDD 2021: 3251-3261 - [c38]Chang Zhou, Jianxin Ma, Jianwei Zhang, Jingren Zhou, Hongxia Yang:
Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems. KDD 2021: 3985-3995 - [c37]Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, Jie Tang:
CogView: Mastering Text-to-Image Generation via Transformers. NeurIPS 2021: 19822-19835 - [c36]Zhu Zhang, Jianxin Ma, Chang Zhou, Rui Men, Zhikang Li, Ming Ding, Jie Tang, Jingren Zhou, Hongxia Yang:
UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis. NeurIPS 2021: 27196-27208 - [c35]Haonan Wang, Chang Zhou, Carl Yang, Hongxia Yang, Jingrui He:
Controllable Gradient Item Retrieval. WWW 2021: 768-777 - [i25]Junyang Lin, Rui Men, An Yang, Chang Zhou, Ming Ding, Yichang Zhang, Peng Wang, Ang Wang, Le Jiang, Xianyan Jia, Jie Zhang, Jianwei Zhang, Xu Zou, Zhikang Li, Xiaodong Deng, Jie Liu, Jinbao Xue, Huiling Zhou, Jianxin Ma, Jin Yu, Yong Li, Wei Lin, Jingren Zhou, Jie Tang, Hongxia Yang:
M6: A Chinese Multimodal Pretrainer. CoRR abs/2103.00823 (2021) - [i24]Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang:
CogDL: An Extensive Toolkit for Deep Learning on Graphs. CoRR abs/2103.00959 (2021) - [i23]Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, Jie Tang:
CogView: Mastering Text-to-Image Generation via Transformers. CoRR abs/2105.13290 (2021) - [i22]Zhu Zhang, Jianxin Ma, Chang Zhou, Rui Men, Zhikang Li, Ming Ding, Jie Tang, Jingren Zhou, Hongxia Yang:
UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis. CoRR abs/2105.14211 (2021) - [i21]Peng Wang, Junyang Lin, An Yang, Chang Zhou, Yichang Zhang, Jingren Zhou, Hongxia Yang:
Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation. CoRR abs/2105.14778 (2021) - [i20]Shuai Bai, Zhedong Zheng, Xiaohan Wang, Junyang Lin, Zhu Zhang, Chang Zhou, Yi Yang, Hongxia Yang:
Connecting Language and Vision for Natural Language-Based Vehicle Retrieval. CoRR abs/2105.14897 (2021) - [i19]An Yang, Junyang Lin, Rui Men, Chang Zhou, Le Jiang, Xianyan Jia, Ang Wang, Jie Zhang, Jiamang Wang, Yong Li, Di Zhang, Wei Lin, Lin Qu, Jingren Zhou, Hongxia Yang:
Exploring Sparse Expert Models and Beyond. CoRR abs/2105.15082 (2021) - [i18]Haonan Wang, Chang Zhou, Carl Yang, Hongxia Yang, Jingrui He:
Controllable Gradient Item Retrieval. CoRR abs/2106.00062 (2021) - [i17]Zhu Zhang, Chang Zhou, Jianxin Ma, Zhijie Lin, Jingren Zhou, Hongxia Yang, Zhou Zhao:
Learning to Rehearse in Long Sequence Memorization. CoRR abs/2106.01096 (2021) - [i16]Jingjing Xiong, Lai-Man Po, Wing Yin Yu, Chang Zhou, Pengfei Xian, Weifeng Ou:
CSRNet: Cascaded Selective Resolution Network for Real-time Semantic Segmentation. CoRR abs/2106.04400 (2021) - [i15]Tan Wang, Chang Zhou, Qianru Sun, Hanwang Zhang:
Causal Attention for Unbiased Visual Recognition. CoRR abs/2108.08782 (2021) - [i14]Junyang Lin, An Yang, Jinze Bai, Chang Zhou, Le Jiang, Xianyan Jia, Ang Wang, Jie Zhang, Yong Li, Wei Lin, Jingren Zhou, Hongxia Yang:
M6-10T: A Sharing-Delinking Paradigm for Efficient Multi-Trillion Parameter Pretraining. CoRR abs/2110.03888 (2021) - [i13]Qingsong Lv, Ming Ding, Qiang Liu, Yuxiang Chen, Wenzheng Feng, Siming He, Chang Zhou, Jianguo Jiang, Yuxiao Dong, Jie Tang:
Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks. CoRR abs/2112.14936 (2021) - 2020
- [j23]Junshuai Song, Zhao Li, Chang Zhou, Jinze Bai, Zhenpeng Li, Jian Li, Jun Gao:
Co-Displayed Items Aware List Recommendation. IEEE Access 8: 64591-64602 (2020) - [j22]Mengyang Liu, Lai-Man Po, Xuyuan Xu, Kwok-Wai Cheung, Yuzhi Zhao, Kin Wai Lau, Chang Zhou:
Long-Range Dependencies and High-Order Spatial Pooling for Deep Model-Based Full-Reference Image Quality Assessment. IEEE Access 8: 72007-72020 (2020) - [j21]Weifeng Ou, Lai-Man Po, Chang Zhou, Yujia Zhang, Litong Feng, Yasar Abbas Ur Rehman, Yuzhi Zhao:
LinCos-Softmax: Learning Angle-Discriminative Face Representations With Linearity-Enhanced Cosine Logits. IEEE Access 8: 109758-109769 (2020) - [j20]Chang Zhou, Huimei Lu, Yong Xiang, Jingbang Wu, Feng Wang:
GeohashTile: Vector Geographic Data Display Method Based on Geohash. ISPRS Int. J. Geo Inf. 9(7): 418 (2020) - [j19]Chang Zhou, Huimei Lu, Yong Xiang, Jingbang Wu:
区块链在车载自组网中的应用研究及展望 (Survey on Application of Blockchain in VANET). 计算机科学 47(2): 213-220 (2020) - [j18]Chang Zhou, Chunye Ying, Xinli Hu, Chu Xu, Qiang Wang:
Thermal Infrared Imagery Integrated with Multi-Field Information for Characterization of Pile-Reinforced Landslide Deformation. Sensors 20(4): 1170 (2020) - [c34]Baichuan Yuan, Xiaowei Wang, Jianxin Ma, Chang Zhou, Andrea L. Bertozzi, Hongxia Yang:
Variational Autoencoders for Highly Multivariate Spatial Point Processes Intensities. ICLR 2020 - [c33]Jianxin Ma, Chang Zhou, Hongxia Yang, Peng Cui, Xin Wang, Wenwu Zhu:
Disentangled Self-Supervision in Sequential Recommenders. KDD 2020: 483-491 - [c32]Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang:
Understanding Negative Sampling in Graph Representation Learning. KDD 2020: 1666-1676 - [c31]Yukuo Cen, Jianwei Zhang, Xu Zou, Chang Zhou, Hongxia Yang, Jie Tang:
Controllable Multi-Interest Framework for Recommendation. KDD 2020: 2942-2951 - [c30]Ming Ding, Chang Zhou, Hongxia Yang, Jie Tang:
CogLTX: Applying BERT to Long Texts. NeurIPS 2020 - [i12]Yukuo Cen, Jianwei Zhang, Xu Zou, Chang Zhou, Hongxia Yang, Jie Tang:
Controllable Multi-Interest Framework for Recommendation. CoRR abs/2005.09347 (2020) - [i11]Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, Jie Tang:
Understanding Negative Sampling in Graph Representation Learning. CoRR abs/2005.09863 (2020) - [i10]Chang Zhou, Jianxin Ma, Jianwei Zhang, Jingren Zhou, Hongxia Yang:
Contrastive Learning for Debiased Candidate Generation at Scale. CoRR abs/2005.12964 (2020)
2010 – 2019
- 2019
- [j17]Chang Zhou, Lai-Man Po, Wilson Y. F. Yuen, Kwok-Wai Cheung, Xuyuan Xu, Kin Wai Lau, Yuzhi Zhao, Mengyang Liu, Peter H. W. Wong:
Angular Deep Supervised Hashing for Image Retrieval. IEEE Access 7: 127521-127532 (2019) - [j16]Daolin Wang, Zhihua Lin, Chang Zhou, Changyong Gao, Qiang He:
Liquid Metal Gallium Micromachines Speed Up in Confining Channels. Adv. Intell. Syst. 1(7): 1900064 (2019) - [j15]Daolin Wang, Zhihua Lin, Chang Zhou, Changyong Gao, Qiang He:
Liquid Metal Gallium Micromachines Speed Up in Confining Channels. Adv. Intell. Syst. 1(7): 1970070 (2019) - [j14]Jianke Zhang, Zhirou Wei, Lifeng Li, Chang Zhou:
Least-Squares Residual Power Series Method for the Time-Fractional Differential Equations. Complex. 2019: 6159024:1-6159024:15 (2019) - [j13]Lifeng Li, Jianke Zhang, Chang Zhou:
Sufficient conditions for a T-partial order obtained from triangular norms to be a lattice. Kybernetika 55(2): 295-306 (2019) - [j12]Rong Zhu, Kun Zhao, Hongxia Yang, Wei Lin, Chang Zhou, Baole Ai, Yong Li, Jingren Zhou:
AliGraph: A Comprehensive Graph Neural Network Platform. Proc. VLDB Endow. 12(12): 2094-2105 (2019) - [j11]Lai-Man Po, Mengyang Liu, Wilson Y. F. Yuen, Yuming Li, Xuyuan Xu, Chang Zhou, Peter H. W. Wong, Kin Wai Lau, Hon-Tung Luk:
A Novel Patch Variance Biased Convolutional Neural Network for No-Reference Image Quality Assessment. IEEE Trans. Circuits Syst. Video Technol. 29(4): 1223-1229 (2019) - [c29]Guorui Zhou, Na Mou, Ying Fan, Qi Pi, Weijie Bian, Chang Zhou, Xiaoqiang Zhu, Kun Gai:
Deep Interest Evolution Network for Click-Through Rate Prediction. AAAI 2019: 5941-5948 - [c28]Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, Jie Tang:
Cognitive Graph for Multi-Hop Reading Comprehension at Scale. ACL (1) 2019: 2694-2703 - [c27]Chang Zhou, Dunwei Gong, Yi-Nan Guo, Wenyin Gong:
A Preference-based Method of Updating the Surrogate Model by Broad Learning and Its Application. CEC 2019: 1702-1709 - [c26]Daikun Zheng, Hong Xu, Chang Zhou:
Maneuvering Target Joint Detection and Tracking Using Multi-Frame Integration. ICCAIS 2019: 1-6 - [c25]Hong Yu, Yueqi Pan, Chang Zhou:
Domain Adaptation Approach for Sentiment Analysis. ICCDA 2019: 94-97 - [c24]Yuzhi Zhao, Chang Zhou, Wing Yin Yu, Lai-Man Po, Tiantian Zhang, Zongbang Liao, Xiang Shi, Yujia Zhang, Weifeng Ou, Pengfei Xian, Jingjing Xiong:
Saliency Map-Aided Generative Adversarial Network for RAW to RGB Mapping. ICCV Workshops 2019: 3449-3457 - [c23]Andrey Ignatov, Juncheng Li, Jiajie Zhang, Haoyu Wu, Jie Li, Rui Huang, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Yuzhi Zhao, Lai-Man Po, Radu Timofte, Tiantian Zhang, Zongbang Liao, Xiang Shi, Yujia Zhang, Weifeng Ou, Pengfei Xian, Jingjing Xiong, Chang Zhou, Wing Yin Yu, Yubin Yubin, Sung-Jea Ko, Bingxin Hou, Bumjun Park, Songhyun Yu, Sangmin Kim, Jechang Jeong, Seung-Wook Kim, Kwang-Hyun Uhm, Seo-Won Ji, Sung-Jin Cho, Jun-Pyo Hong, Kangfu Mei:
AIM 2019 Challenge on RAW to RGB Mapping: Methods and Results. ICCV Workshops 2019: 3584-3590 - [c22]Chunnan Wang, Hongzhi Wang, Chang Zhou, Jianzhong Li, Hong Gao:
ECOQUG: An Effective Ensemble Community Scoring Function. ICDE 2019: 1702-1705 - [c21]Wantian Wang, Ziyue Tang, Xin Xiong, Yi-Chang Chen, Yuan-Peng Zhang, Yongjian Sun, Zhenbo Zhu, Chang Zhou:
Motion States Classification of Rotor Target Based On Micro-Doppler Features Using CNN. IGARSS 2019: 1390-1393 - [c20]Chang Zhou, Lai Man Po, Mengyang Liu, Wilson Y. F. Yuen, Peter H. W. Wong, Hon-Tung Luk, Kin Wai Lau, Hok Kwan Cheung:
Deep Hashing with Triplet Labels and Unification Binary Code Selection for Fast Image Retrieval. MMM (1) 2019: 277-288 - [c19]Jianxin Ma, Chang Zhou, Peng Cui, Hongxia Yang, Wenwu Zhu:
Learning Disentangled Representations for Recommendation. NeurIPS 2019: 5712-5723 - [c18]Jinze Bai, Chang Zhou, Junshuai Song, Xiaoru Qu, Weiting An, Zhao Li, Jun Gao:
Personalized Bundle List Recommendation. WWW 2019: 60-71 - [i9]Rong Zhu, Kun Zhao, Hongxia Yang, Wei Lin, Chang Zhou, Baole Ai, Yong Li, Jingren Zhou:
AliGraph: A Comprehensive Graph Neural Network Platform. CoRR abs/1902.08730 (2019) - [i8]Jinze Bai, Chang Zhou, Junshuai Song, Xiaoru Qu, Weiting An, Zhao Li, Jun Gao:
Personalized Bundle List Recommendation. CoRR abs/1904.01933 (2019) - [i7]Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, Jie Tang:
Cognitive Graph for Multi-Hop Reading Comprehension at Scale. CoRR abs/1905.05460 (2019) - [i6]Zhengxiao Du, Chang Zhou, Ming Ding, Hongxia Yang, Jie Tang:
Cognitive Knowledge Graph Reasoning for One-shot Relational Learning. CoRR abs/1906.05489 (2019) - [i5]Jianxin Ma, Chang Zhou, Peng Cui, Hongxia Yang, Wenwu Zhu:
Learning Disentangled Representations for Recommendation. CoRR abs/1910.14238 (2019) - [i4]Chunnan Wang, Hongzhi Wang, Chang Zhou, Hanxiao Chen, Jianzhong Li, Hong Gao:
ExperienceThinking: Hyperparameter Optimization with Budget Constraints. CoRR abs/1912.00602 (2019) - 2018
- [j10]Junshuai Song, Xiongcai Luo, Jun Gao, Chang Zhou, Hu Wei, Jeffrey Xu Yu:
UniWalk: Unidirectional Random Walk Based Scalable SimRank Computation over Large Graph. IEEE Trans. Knowl. Data Eng. 30(5): 992-1006 (2018) - [c17]Chang Zhou, Jinze Bai, Junshuai Song, Xiaofei Liu, Zhengchao Zhao, Xiusi Chen, Jun Gao:
ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation. AAAI 2018: 4564-4571 - [c16]Zhihang Fu, Chang Zhou, Hongwei Yong, Rongxin Jiang, Xiang Tian, Yaowu Chen, Xian-Sheng Hua:
Foreground Gated Network for Surveillance Object Detection. BigMM 2018: 1-7 - [c15]Mengyang Liu, Lai-Man Po, Chang Zhou, Wilson Y. F. Yuen, Hok Kwan Cheung, Peter H. W. Wong, Hon-Tung Luk, Kin Wai Lau:
Content-based Video Copy Detection using Binary Object Fingerprints. ICSPCC 2018: 1-6 - [c14]Yuzhao Mao, Chang Zhou, Xiaojie Wang, Ruifan Li:
Show and Tell More: Topic-Oriented Multi-Sentence Image Captioning. IJCAI 2018: 4258-4264 - [i3]Guorui Zhou, Na Mou, Ying Fan, Qi Pi, Weijie Bian, Chang Zhou, Xiaoqiang Zhu, Kun Gai:
Deep Interest Evolution Network for Click-Through Rate Prediction. CoRR abs/1809.03672 (2018) - 2017
- [j9]Tong Qiao, Wei Shan, Chang Zhou:
How to Identify the Most Powerful Node in Complex Networks? A Novel Entropy Centrality Approach. Entropy 19(11): 614 (2017) - [j8]Ze Wang, Chang Zhou, Yiran Liu:
Efficient Hybrid Detection of Node Replication Attacks in Mobile Sensor Networks. Mob. Inf. Syst. 2017: 8636379:1-8636379:13 (2017) - [j7]Jun Gao, Yuqiong Liu, Chang Zhou, Jeffrey Xu Yu:
Path-based holistic detection plan for multiple patterns in distributed graph frameworks. VLDB J. 26(3): 327-345 (2017) - [j6]Yongjun Sun, Pengjun Zhao, Chang Zhou, Zujun Liu:
A Cooperative Peer-to-Peer Repair Scheme Based on Hybrid Network Coding. Wirel. Pers. Commun. 97(4): 5045-5058 (2017) - [c13]Chang Zhou, Yuqiong Liu, Xiaofei Liu, Zhongyi Liu, Jun Gao:
Scalable Graph Embedding for Asymmetric Proximity. AAAI 2017: 2942-2948 - [c12]Chang Zhou, Yuzhao Mao, Xiaojie Wang:
Topic-Specific Image Caption Generation. CCL 2017: 321-332 - [c11]Xiongcai Luo, Jun Gao, Chang Zhou, Jeffrey Xu Yu:
UniWalk: Unidirectional Random Walk Based Scalable SimRank Computation over Large Graph. ICDE 2017: 325-336 - [c10]Yao Liu, Jianqiang Huang, Chang Zhou, Deng Cai, Xian-Sheng Hua:
Spatiotemporal Multi-Task Network for Human Activity Understanding. ACM Multimedia (Thematic Workshops) 2017: 287-295 - [c9]Chen Shen, Chang Zhou, Zhongming Jin, Wenqing Chu, Rongxin Jiang, Yaowu Chen, Xian-Sheng Hua:
Learning Feature Embedding with Strong Neural Activations for Fine-Grained Retrieval. ACM Multimedia (Thematic Workshops) 2017: 424-432 - [c8]Wenguang Huang, Chang Zhou, Yuanjie Li, Xinbing Wang, Songwu Lu, Luoyi Fu:
cniCloud: Querying the Cellular Network Information at Scale. WiNTECH 2017: 17-24 - [c7]Zhen-Feng Shi, Chang Zhou, Wei-Long Zheng, Bao-Liang Lu:
Attention evaluation with eye tracking glasses for EEG-based emotion recognition. NER 2017: 86-89 - [i2]Wenguang Huang, Chang Zhou, Yuanjie Li:
cniCloud: Querying the Cellular Network Information at Scale. CoRR abs/1707.07756 (2017) - [i1]Chang Zhou, Jinze Bai, Junshuai Song, Xiaofei Liu, Zhengchao Zhao, Xiusi Chen, Jun Gao:
ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation. CoRR abs/1711.06632 (2017) - 2016
- [j5]Jun Gao, Chang Zhou, Jeffrey Xu Yu:
Toward continuous pattern detection over evolving large graph with snapshot isolation. VLDB J. 25(2): 269-290 (2016) - [c6]Yuqiong Liu, Chang Zhou, Jun Gao, Zhiguo Fan:
GiraphAsync: Supporting Online and Offline Graph Processing via Adaptive Asynchronous Message Processing. CIKM 2016: 479-488 - [c5]Yong Qi, Ya Zhou, Chang Zhou, Xinran Hu, Xiaoming Hu:
3D feature array involved registration algorithm for multi-pose hand vein authentication. ICB 2016: 1-7 - [c4]Yong Qi, Ya Zhou, Chang Zhou, Xinran Hu, Xiaoming Hu:
Vein point cloud registration algorithm for multi-pose hand vein authentication. ISBA 2016: 1-6 - 2015
- [j4]Xiaojue Ma, Hongwei Liu, Chang Zhou:
A Predictor-Corrector Algorithm for Monotone Linear Complementarity Problems in a Wide Neighborhood. Int. J. Bifurc. Chaos 25(14): 1540035:1-1540035:9 (2015) - [j3]Ze Wang, Haijuan Zhang, Luqiang Wu, Chang Zhou:
Layered Location-Based Security Mechanism for Mobile Sensor Networks: Moving Security Areas. Sensors 15(10): 24886-24902 (2015) - 2014
- [j2]Chang Zhou, Jun Gao, Binbin Sun, Jeffrey Xu Yu:
MOCgraph: Scalable Distributed Graph Processing Using Message Online Computing. Proc. VLDB Endow. 8(4): 377-388 (2014) - [c3]Jun Gao, Jiashuai Zhou, Chang Zhou, Jeffrey Xu Yu:
GLog: A high level graph analysis system using MapReduce. ICDE 2014: 544-555 - [c2]Jun Gao, Chang Zhou, Jiashuai Zhou, Jeffrey Xu Yu:
Continuous pattern detection over billion-edge graph using distributed framework. ICDE 2014: 556-567 - 2012
- [j1]Ting Zhu, Chang Zhou:
An Efficient Renewable Energy Management and Sharing System for Sustainable Embedded Devices. J. Electr. Comput. Eng. 2012: 185959:1-185959:17 (2012) - 2011
- [c1]Fajun Zhang, Wenjie Fang, Chang Zhou, Zhong Liu:
A Brief Study on Teaching Evaluation System Based on Fuzzy Rule with Scientific Teaching Materials. CSEE (4) 2011: 99-105
Coauthor Index
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