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ORCIDLichao Sun 0001
Person information
- affiliation: Lehigh University, Bethlehem, PA, USA
- affiliation (former): University of Illinois, IL, USA
- affiliation (former): University of Nebraska Lincoln, NE, USA
Other persons with the same name
- Lichao Sun — disambiguation page
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2020 – today
- 2024
[j24]Liangqi Yuan, Ziran Wang, Lichao Sun, Philip S. Yu, Christopher G. Brinton:
Decentralized Federated Learning: A Survey and Perspective. IEEE Internet Things J. 11(21): 34617-34638 (2024)- [j23]Jiayi Tong, Yishan Shen, Alice Xu, Xing He
, Chongliang Luo, Mackenzie J. Edmondson, Dazheng Zhang, Yiwen Lu, Chao Yan, Ruowang Li, Lianne Siegel, Lichao Sun, Elizabeth A. Shenkman, Sally C. Morton, Bradley A. Malin, Jiang Bian, David A. Asch, Yong Chen:
Evaluating site-of-care-related racial disparities in kidney graft failure using a novel federated learning framework. J. Am. Medical Informatics Assoc. 31(6): 1303-1312 (2024) - [j22]Kay Liu, Yingtong Dou, Xueying Ding, Xiyang Hu, Ruitong Zhang, Hao Peng, Lichao Sun, Philip S. Yu:
PyGOD: A Python Library for Graph Outlier Detection. J. Mach. Learn. Res. 25: 141:1-141:9 (2024) - [j21]Cheng Chen, Juzheng Miao, Dufan Wu, Aoxiao Zhong, Zhiling Yan, Sekeun Kim, Jiang Hu, Zhengliang Liu, Lichao Sun, Xiang Li, Tianming Liu, Pheng-Ann Heng, Quanzheng Li:
MA-SAM: Modality-agnostic SAM adaptation for 3D medical image segmentation. Medical Image Anal. 98: 103310 (2024) - [j20]Zixiang Wei, Yiting Wang, Lichao Sun, Athanasios V. Vasilakos, Lin Wang:
ClassLIE: Structure- and Illumination-Adaptive Classification for Low-Light Image Enhancement. IEEE Trans. Artif. Intell. 5(9): 4765-4775 (2024) - [j19]Dezhong Yao, Wanning Pan, Yutong Dai, Yao Wan, Xiaofeng Ding, Chen Yu, Hai Jin, Zheng Xu, Lichao Sun:
FedGKD: Toward Heterogeneous Federated Learning via Global Knowledge Distillation. IEEE Trans. Computers 73(1): 3-17 (2024) - [j18]Hongsheng Hu, Xuyun Zhang, Zoran Salcic, Lichao Sun, Kim-Kwang Raymond Choo, Gillian Dobbie:
Source Inference Attacks: Beyond Membership Inference Attacks in Federated Learning. IEEE Trans. Dependable Secur. Comput. 21(4): 3012-3029 (2024) - [j17]Yiming Hei, Renyu Yang, Hao Peng, Lihong Wang, Xiaolin Xu, Jianwei Liu, Hong Liu, Jie Xu, Lichao Sun:
Hawk: Rapid Android Malware Detection Through Heterogeneous Graph Attention Networks. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4703-4717 (2024) - [j16]Lingjuan Lyu, Han Yu, Xingjun Ma, Chen Chen, Lichao Sun, Jun Zhao, Qiang Yang, Philip S. Yu:
Privacy and Robustness in Federated Learning: Attacks and Defenses. IEEE Trans. Neural Networks Learn. Syst. 35(7): 8726-8746 (2024) - [c81]Yixin Liu, Kaidi Xu, Xun Chen, Lichao Sun:
Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise. AAAI 2024: 3783-3791 - [c80]Lulu Xue, Shengshan Hu, Ruizhi Zhao, Leo Yu Zhang, Shengqing Hu, Lichao Sun, Dezhong Yao:
Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks. AAAI 2024: 6404-6412 - [c79]Xiao Liu, Xuanyu Lei, Shengyuan Wang, Yue Huang, Andrew Feng, Bosi Wen, Jiale Cheng, Pei Ke, Yifan Xu, Weng Lam Tam, Xiaohan Zhang, Lichao Sun, Xiaotao Gu, Hongning Wang, Jing Zhang, Minlie Huang, Yuxiao Dong, Jie Tang:
AlignBench: Benchmarking Chinese Alignment of Large Language Models. ACL (1) 2024: 11621-11640 - [c78]Fei Kong, Jinhao Duan, Lichao Sun, Hao Cheng, Renjing Xu, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu:
ACT-Diffusion: Efficient Adversarial Consistency Training for One-Step Diffusion Models. CVPR 2024: 8890-8899 - [c77]Wen Yin, Jian Lou, Pan Zhou, Yulai Xie, Dan Feng, Yuhua Sun, Tailai Zhang, Lichao Sun:
Physical Backdoor: Towards Temperature-Based Backdoor Attacks in the Physical World. CVPR 2024: 12733-12743 - [c76]Yixin Liu, Chenrui Fan, Yutong Dai, Xun Chen, Pan Zhou, Lichao Sun:
MetaCloak: Preventing Unauthorized Subject-Driven Text-to-Image Diffusion-Based Synthesis via Meta-Learning. CVPR 2024: 24219-24228 - [c75]Batu Guan, Yao Wan, Zhangqian Bi, Zheng Wang, Hongyu Zhang, Pan Zhou, Lichao Sun:
CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code. EMNLP (Findings) 2024: 9243-9258 - [c74]Yuqi Zhou, Lin Lu, Ryan Sun, Pan Zhou, Lichao Sun:
Virtual Context Enhancing Jailbreak Attacks with Special Token Injection. EMNLP (Findings) 2024: 11843-11857 - [c73]Yue Huang, Chenrui Fan, Yuan Li, Siyuan Wu, Tianyi Zhou, Xiangliang Zhang, Lichao Sun:
1+1\textgreater2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators? EMNLP 2024: 13394-13412 - [c72]Ryan Sun, Tianyi Zhou, Xun Chen, Lichao Sun:
SpecHub: Provable Acceleration to Multi-Draft Speculative Decoding. EMNLP 2024: 20620-20641 - [c71]Yue Huang, Jiawen Shi, Yuan Li, Chenrui Fan, Siyuan Wu, Qihui Zhang, Yixin Liu, Pan Zhou, Yao Wan, Neil Zhenqiang Gong, Lichao Sun:
MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use. ICLR 2024 - [c70]Dongping Chen, Ruoxi Chen, Shilin Zhang, Yaochen Wang, Yinuo Liu, Huichi Zhou, Qihui Zhang, Yao Wan, Pan Zhou, Lichao Sun:
MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark. ICML 2024 - [c69]Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang:
Improving Interpretation Faithfulness for Vision Transformers. ICML 2024 - [c68]Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao:
Position: TrustLLM: Trustworthiness in Large Language Models. ICML 2024 - [c67]Sili Huang, Jifeng Hu, Hechang Chen, Lichao Sun, Bo Yang:
In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought. ICML 2024 - [c66]Shanshan Han, Baturalp Buyukates, Zijian Hu, Han Jin, Weizhao Jin, Lichao Sun, Xiaoyang Wang, Wenxuan Wu, Chulin Xie, Yuhang Yao, Kai Zhang, Qifan Zhang, Yuhui Zhang, Carlee Joe-Wong, Salman Avestimehr, Chaoyang He:
FedSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs. KDD 2024: 5070-5081 - [c65]Qing Xiao, Siyeop Yoon, Hui Ren, Matthew Tivnan, Lichao Sun, Quanzheng Li, Tianming Liu, Yu Zhang, Xiang Li:
Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction. MICCAI (2) 2024: 78-87 - [c64]Wenting Chen, Pengyu Wang, Hui Ren, Lichao Sun, Quanzheng Li, Yixuan Yuan, Xiang Li:
Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting. MICCAI (12) 2024: 240-250 - [c63]Xiaowen Cai, Yunbo Tao, Daizong Liu, Pan Zhou, Xiaoye Qu, Jianfeng Dong, Keke Tang, Lichao Sun:
Frequency-Aware GAN for Imperceptible Transfer Attack on 3D Point Clouds. ACM Multimedia 2024: 6162-6171 - [c62]Qihui Zhang, Chujie Gao, Dongping Chen, Yue Huang, Yixin Huang, Zhenyang Sun, Shilin Zhang, Weiye Li, Zhengyan Fu, Yao Wan, Lichao Sun:
LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected? NAACL-HLT (Findings) 2024: 409-436 - [c61]Jinhao Duan, Shiqi Wang, James Diffenderfer, Lichao Sun, Tianlong Chen, Bhavya Kailkhura, Kaidi Xu:
ReTA: Recursively Thinking Ahead to Improve the Strategic Reasoning of Large Language Models. NAACL-HLT 2024: 2232-2246 - [c60]Ke Zhang, Lichao Sun, Bolin Ding, Siu Ming Yiu, Carl Yang:
Deep Efficient Private Neighbor Generation for Subgraph Federated Learning. SDM 2024: 806-814 - [c59]Yuanxin Zhuang, Chuan Shi, Mengmei Zhang, Jinghui Chen, Lingjuan Lyu, Pan Zhou, Lichao Sun:
Unveiling the Secrets without Data: Can Graph Neural Networks Be Exploited through Data-Free Model Extraction Attacks? USENIX Security Symposium 2024 - [c58]Yue Huang, Kai Shu, Philip S. Yu, Lichao Sun:
From Creation to Clarification: ChatGPT's Journey Through the Fake News Quagmire. WWW (Companion Volume) 2024: 513-516 - [c57]Chuan Shi, Cheng Yang, Yuan Fang, Lichao Sun, Philip S. Yu:
Lecture-style Tutorial: Towards Graph Foundation Models. WWW (Companion Volume) 2024: 1264-1267 - [i136]Ke Zhang, Lichao Sun, Bolin Ding, Siu Ming Yiu, Carl Yang:
Deep Efficient Private Neighbor Generation for Subgraph Federated Learning. CoRR abs/2401.04336 (2024) - [i135]Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao:
TrustLLM: Trustworthiness in Large Language Models. CoRR abs/2401.05561 (2024) - [i134]Chujie Gao, Dongping Chen, Qihui Zhang, Yue Huang, Yao Wan, Lichao Sun:
LLM-as-a-Coauthor: The Challenges of Detecting LLM-Human Mixcase. CoRR abs/2401.05952 (2024) - [i133]Zhengliang Liu, Jason Holmes, Wenxiong Liao, Chenbin Liu, Lian Zhang, Hongying Feng, Peilong Wang, Muhammad Ali Elahi, Hongmin Cai, Lichao Sun, Quanzheng Li, Xiang Li, Tianming Liu, Jiajian Shen, Wei Liu:
The Radiation Oncology NLP Database. CoRR abs/2401.10995 (2024) - [i132]Lulu Xue, Shengshan Hu, Ruizhi Zhao, Leo Yu Zhang, Shengqing Hu, Lichao Sun, Dezhong Yao:
Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks. CoRR abs/2401.16687 (2024) - [i131]Yuan Li, Yue Huang, Yuli Lin, Siyuan Wu, Yao Wan, Lichao Sun:
I Think, Therefore I am: Awareness in Large Language Models. CoRR abs/2401.17882 (2024) - [i130]Dongping Chen, Ruoxi Chen, Shilin Zhang, Yinuo Liu, Yaochen Wang, Huichi Zhou, Qihui Zhang, Pan Zhou, Yao Wan, Lichao Sun:
MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark. CoRR abs/2402.04788 (2024) - [i129]Yuqing Liu, Yu Wang, Lichao Sun, Philip S. Yu:
Rec-GPT4V: Multimodal Recommendation with Large Vision-Language Models. CoRR abs/2402.08670 (2024) - [i128]Jinhao Duan, Renming Zhang, James Diffenderfer, Bhavya Kailkhura, Lichao Sun, Elias Stengel-Eskin, Mohit Bansal, Tianlong Chen, Kaidi Xu:
GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations. CoRR abs/2402.12348 (2024) - [i127]Yixin Liu, Kai Zhang, Yuan Li, Zhiling Yan, Chujie Gao, Ruoxi Chen, Zhengqing Yuan, Yue Huang, Hanchi Sun, Jianfeng Gao, Lifang He, Lichao Sun:
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models. CoRR abs/2402.17177 (2024) - [i126]Wenting Chen, Pengyu Wang, Hui Ren, Lichao Sun, Quanzheng Li, Yixuan Yuan, Xiang Li:
Medical Image Synthesis via Fine-Grained Image-Text Alignment and Anatomy-Pathology Prompting. CoRR abs/2403.06835 (2024) - [i125]Qing Xiao, Siyeop Yoon, Hui Ren, Matthew Tivnan, Lichao Sun, Quanzheng Li, Tianming Liu, Yu Zhang, Xiang Li:
Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction. CoRR abs/2403.06940 (2024) - [i124]Weixiang Sun, Yixin Liu, Zhiling Yan, Kaidi Xu, Lichao Sun:
Medical Unlearnable Examples: Securing Medical Data from Unauthorized Traning via Sparsity-Aware Local Masking. CoRR abs/2403.10573 (2024) - [i123]Zhengqing Yuan, Ruoxi Chen, Zhaoxu Li, Haolong Jia, Lifang He, Chi Wang, Lichao Sun:
Mora: Enabling Generalist Video Generation via A Multi-Agent Framework. CoRR abs/2403.13248 (2024) - [i122]Jiawen Shi, Zenghui Yuan, Yinuo Liu, Yue Huang, Pan Zhou, Lichao Sun, Neil Zhenqiang Gong:
Optimization-based Prompt Injection Attack to LLM-as-a-Judge. CoRR abs/2403.17710 (2024) - [i121]Yao Wan, Guanghua Wan, Shijie Zhang, Hongyu Zhang, Pan Zhou, Hai Jin, Lichao Sun:
Does Your Neural Code Completion Model Use My Code? A Membership Inference Approach. CoRR abs/2404.14296 (2024) - [i120]Batu Guan, Yao Wan, Zhangqian Bi, Zheng Wang, Hongyu Zhang, Pan Zhou, Lichao Sun:
CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code. CoRR abs/2404.15639 (2024) - [i119]Wen Yin, Jian Lou, Pan Zhou, Yulai Xie, Dan Feng, Yuhua Sun, Tailai Zhang, Lichao Sun:
Physical Backdoor: Towards Temperature-based Backdoor Attacks in the Physical World. CoRR abs/2404.19417 (2024) - [i118]Dezhong Yao, Sanmu Li, Yutong Dai, Zhiqiang Xu, Shengshan Hu, Peilin Zhao, Lichao Sun:
Variational Bayes for Federated Continual Learning. CoRR abs/2405.14291 (2024) - [i117]Sili Huang, Jifeng Hu, Hechang Chen, Lichao Sun, Bo Yang:
In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought. CoRR abs/2405.20692 (2024) - [i116]Sili Huang, Jifeng Hu, Zhejian Yang, Liwei Yang, Tao Luo, Hechang Chen, Lichao Sun, Bo Yang:
Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling. CoRR abs/2406.00079 (2024) - [i115]Chujie Gao, Qihui Zhang, Dongping Chen, Yue Huang, Siyuan Wu, Zhengyan Fu, Yao Wan, Xiangliang Zhang, Lichao Sun:
The Best of Both Worlds: Toward an Honest and Helpful Large Language Model. CoRR abs/2406.00380 (2024) - [i114]Dongping Chen, Yue Huang, Siyuan Wu, Jingyu Tang, Liuyi Chen, Yilin Bai, Zhigang He, Chenlong Wang, Huichi Zhou, Yiqiang Li, Tianshuo Zhou, Yue Yu, Chujie Gao, Qihui Zhang, Yi Gui, Zhen Li, Yao Wan, Pan Zhou, Jianfeng Gao, Lichao Sun:
GUI-WORLD: A Dataset for GUI-oriented Multimodal LLM-based Agents. CoRR abs/2406.10819 (2024) - [i113]Yue Huang, Jingyu Tang, Dongping Chen, Bingda Tang, Yao Wan, Lichao Sun, Xiangliang Zhang:
ObscurePrompt: Jailbreaking Large Language Models via Obscure Input. CoRR abs/2406.13662 (2024) - [i112]Yue Huang, Chenrui Fan, Yuan Li, Siyuan Wu, Tianyi Zhou, Xiangliang Zhang, Lichao Sun:
1+1>2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators? CoRR abs/2406.14721 (2024) - [i111]Yuan Li, Yue Huang, Hongyi Wang, Xiangliang Zhang, James Zou, Lichao Sun:
Quantifying AI Psychology: A Psychometrics Benchmark for Large Language Models. CoRR abs/2406.17675 (2024) - [i110]Zhengqing Yuan, Rong Zhou, Hongyi Wang, Lifang He, Yanfang Ye, Lichao Sun:
ViT-1.58b: Mobile Vision Transformers in the 1-bit Era. CoRR abs/2406.18051 (2024) - [i109]Yixin Liu, Ruoxi Chen, Lichao Sun:
Investigating and Defending Shortcut Learning in Personalized Diffusion Models. CoRR abs/2406.18944 (2024) - [i108]Siyuan Wu, Yue Huang, Chujie Gao, Dongping Chen, Qihui Zhang, Yao Wan, Tianyi Zhou, Xiangliang Zhang, Jianfeng Gao, Chaowei Xiao, Lichao Sun:
UniGen: A Unified Framework for Textual Dataset Generation Using Large Language Models. CoRR abs/2406.18966 (2024) - [i107]Yuqi Zhou, Lin Lu, Hanchi Sun, Pan Zhou, Lichao Sun:
Virtual Context: Enhancing Jailbreak Attacks with Special Token Injection. CoRR abs/2406.19845 (2024) - [i106]Dongping Chen, Jiawen Shi, Yao Wan, Pan Zhou, Neil Zhenqiang Gong, Lichao Sun:
Self-Cognition in Large Language Models: An Exploratory Study. CoRR abs/2407.01505 (2024) - [i105]Weixiang Sun, Xiaocao You, Ruizhe Zheng, Zhengqing Yuan, Xiang Li, Lifang He, Quanzheng Li, Lichao Sun:
Bora: Biomedical Generalist Video Generation Model. CoRR abs/2407.08944 (2024) - [i104]Eashan Adhikarla, Kai Zhang, Rosaura G. VidalMata, Manjushree Aithal, Nikhil Ambha Madhusudhana, John W. Nicholson, Lichao Sun, Brian D. Davison:
Unified-EGformer: Exposure Guided Lightweight Transformer for Mixed-Exposure Image Enhancement. CoRR abs/2407.13170 (2024) - [i103]Zhiling Yan, Weixiang Sun, Rong Zhou, Zhengqing Yuan, Kai Zhang, Yiwei Li, Tianming Liu, Quanzheng Li, Xiang Li, Lifang He, Lichao Sun:
Biomedical SAM 2: Segment Anything in Biomedical Images and Videos. CoRR abs/2408.03286 (2024) - [i102]Jifeng Hu, Li Shen, Sili Huang, Zhejian Yang, Hechang Chen, Lichao Sun, Yi Chang, Dacheng Tao:
Continual Diffuser (CoD): Mastering Continual Offline Reinforcement Learning with Experience Rehearsal. CoRR abs/2409.02512 (2024) - [i101]Rong Zhou, Zhengqing Yuan, Zhiling Yan, Weixiang Sun, Kai Zhang, Yiwei Li, Yanfang Ye, Xiang Li, Lifang He, Lichao Sun:
TTT-Unet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image Segmentation. CoRR abs/2409.11299 (2024) - [i100]Tianyang Zhong, Zhengliang Liu, Yi Pan, Yutong Zhang, Yifan Zhou, Shizhe Liang, Zihao Wu, Yanjun Lyu, Peng Shu, Xiaowei Yu, Chao Cao, Hanqi Jiang, Hanxu Chen, Yiwei Li, Junhao Chen, Huawen Hu, Yihen Liu, Huaqin Zhao, Shaochen Xu, Haixing Dai, Lin Zhao, Ruidong Zhang, Wei Zhao, Zhenyuan Yang, Jingyuan Chen, Peilong Wang, Wei Ruan, Hui Wang, Huan Zhao, Jing Zhang, Yiming Ren, Shihuan Qin, Tong Chen, Jiaxi Li, Arif Hassan Zidan, Afrar Jahin, Minheng Chen, Sichen Xia, Jason Holmes, Yan Zhuang, Jiaqi Wang, Bochen Xu, Weiran Xia, Jichao Yu, Kaibo Tang, Yaxuan Yang, Bolun Sun, Tao Yang, Guoyu Lu, Xianqiao Wang, Lilong Chai, He Li, Jin Lu, Lichao Sun, Xin Zhang, Bao Ge, Xintao Hu, Lian Zhang, Hua Zhou, Lu Zhang, Shu Zhang, Ninghao Liu, Bei Jiang, Linglong Kong, Zhen Xiang, Yudan Ren, Jun Liu, Xi Jiang, Yu Bao, Wei Zhang, Xiang Li, Gang Li, Wei Liu, Dinggang Shen, Andrea Sikora, Xiaoming Zhai, Dajiang Zhu, Tianming Liu:
Evaluation of OpenAI o1: Opportunities and Challenges of AGI. CoRR abs/2409.18486 (2024) - [i99]Yixin Liu, Arielle Carr, Lichao Sun:
Empirical Perturbation Analysis of Linear System Solvers from a Data Poisoning Perspective. CoRR abs/2410.00878 (2024) - [i98]Youpeng Li, Xinda Wang, Fuxun Yu, Lichao Sun, Wenbin Zhang, Xuyu Wang:
FedCAP: Robust Federated Learning via Customized Aggregation and Personalization. CoRR abs/2410.13083 (2024) - [i97]Hongyu Zhao, Ming Li, Lichao Sun, Tianyi Zhou:
BenTo: Benchmark Task Reduction with In-Context Transferability. CoRR abs/2410.13804 (2024) - [i96]Jifeng Hu, Sili Huang, Li Shen, Zhejian Yang, Shengchao Hu, Shisong Tang, Hechang Chen, Yi Chang, Dacheng Tao, Lichao Sun:
Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces. CoRR abs/2410.15698 (2024) - 2023
- [j15]Chengcheng Sun, Zhixiao Wang, Xiaobin Rui, Philip S. Yu, Lichao Sun:
An in-depth study on key nodes in social networks. Intell. Data Anal. 27(6): 1811-1838 (2023) - [j14]Jianfeng Lu, Haibo Liu, Riheng Jia, Jiangtao Wang, Lichao Sun, Shaohua Wan:
Toward Personalized Federated Learning Via Group Collaboration in IIoT. IEEE Trans. Ind. Informatics 19(8): 8923-8932 (2023) - [j13]Jie Yang, Zhixiao Wang, Xiaobin Rui, Yahui Chai, Philip S. Yu, Lichao Sun:
Triadic Closure Sensitive Influence Maximization. ACM Trans. Knowl. Discov. Data 17(6): 77:1-77:26 (2023) - [j12]Lichao Sun, Yingtong Dou, Carl Yang, Kai Zhang, Ji Wang, Philip S. Yu, Lifang He, Bo Li:
Adversarial Attack and Defense on Graph Data: A Survey. IEEE Trans. Knowl. Data Eng. 35(8): 7693-7711 (2023) - [j11]Hai Jin, Dongshan Bai, Dezhong Yao, Yutong Dai, Lin Gu, Chen Yu, Lichao Sun:
Personalized Edge Intelligence via Federated Self-Knowledge Distillation. IEEE Trans. Parallel Distributed Syst. 34(2): 567-580 (2023) - [c56]Shengshan Hu, Junwei Zhang, Wei Liu, Junhui Hou, Minghui Li, Leo Yu Zhang, Hai Jin, Lichao Sun:
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples. AAAI 2023: 872-880 - [c55]Yutong Dai, Zeyuan Chen, Junnan Li, Shelby Heinecke, Lichao Sun, Ran Xu:
Tackling Data Heterogeneity in Federated Learning with Class Prototypes. AAAI 2023: 7314-7322 - [c54]Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang:
SEAT: Stable and Explainable Attention. AAAI 2023: 12907-12915 - [c53]Zihan Guan, Lichao Sun, Mengnan Du, Ninghao Liu:
Attacking Neural Networks with Neural Networks: Towards Deep Synchronization for Backdoor Attacks. CIKM 2023: 608-618 - [c52]Qiufan Ji, Lin Wang, Cong Shi, Shengshan Hu, Yingying Chen, Lichao Sun:
Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples. ICCV 2023: 4272-4281 - [c51]Junfeng Guo, Yiming Li, Xun Chen, Hanqing Guo, Lichao Sun, Cong Liu:
SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency. ICLR 2023 - [c50]Jie Ren, Han Xu, Yuxuan Wan, Xingjun Ma, Lichao Sun, Jiliang Tang:
Transferable Unlearnable Examples. ICLR 2023 - [c49]Qucheng Peng, Zhengming Ding, Lingjuan Lyu, Lichao Sun, Chen Chen:
RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation. IJCAI 2023: 4118-4126 - [c48]Jiaxiang Tang, Jinbao Zhu, Songze Li, Lichao Sun:
Secure Embedding Aggregation for Federated Representation Learning. ISIT 2023: 2392-2397 - [c47]Zhoujin Tian, Chaozhuo Li, Zhiqiang Zuo, Zengxuan Wen, Lichao Sun, Xinyue Hu, Wen Zhang, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang:
PASS: Personalized Advertiser-aware Sponsored Search. KDD 2023: 4924-4936 - [c46]Sili Huang, Yanchao Sun, Jifeng Hu, Siyuan Guo, Hechang Chen, Yi Chang, Lichao Sun, Bo Yang:
Learning Generalizable Agents via Saliency-guided Features Decorrelation. NeurIPS 2023 - [c45]Xiaobin Rui, Zhixiao Wang, Jiayu Zhao, Lichao Sun, Wei Chen:
Scalable Fair Influence Maximization. NeurIPS 2023 - [c44]Hao Yan, Chaozhuo Li, Ruosong Long, Chao Yan, Jianan Zhao, Wenwen Zhuang, Jun Yin, Peiyan Zhang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Lichao Sun, Xing Xie, Senzhang Wang:
A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking. NeurIPS 2023 - [c43]Barry Menglong Yao, Aditya Shah, Lichao Sun, Jin-Hee Cho, Lifu Huang:
End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models. SIGIR 2023: 2733-2743 - [c42]Lichao Sun, Xiaobin Rui, Wei Chen:
Scalable Adversarial Attack Algorithms on Influence Maximization. WSDM 2023: 760-768 - [c41]Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S. Yu, Kai Shu:
Attacking Fake News Detectors via Manipulating News Social Engagement. WWW 2023: 3978-3986 - [i95]Jiahao Zhu, Daizong Liu, Pan Zhou, Xing Di, Yu Cheng, Song Yang, Wenzheng Xu, Zichuan Xu, Yao Wan, Lichao Sun, Zeyu Xiong:
Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding. CoRR abs/2301.00514 (2023) - [i94]Junfeng Guo, Yiming Li, Xun Chen, Hanqing Guo, Lichao Sun, Cong Liu:
SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency. CoRR abs/2302.03251 (2023) - [i93]Haoran Wang, Yingtong Dou, Canyu Chen, Lichao Sun, Philip S. Yu, Kai Shu:
Attacking Fake News Detectors via Manipulating News Social Engagement. CoRR abs/2302.07363 (2023) - [i92]Zenghui Yuan, Yixin Liu, Kai Zhang, Pan Zhou, Lichao Sun:
Backdoor Attacks to Pre-trained Unified Foundation Models. CoRR abs/2302.09360 (2023) - [i91]Ce Zhou, Qian Li, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang, Kai Zhang, Cheng Ji, Qiben Yan, Lifang He, Hao Peng, Jianxin Li, Jia Wu, Ziwei Liu, Pengtao Xie, Caiming Xiong, Jian Pei, Philip S. Yu, Lichao Sun:
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT. CoRR abs/2302.09419 (2023) - [i90]Yixin Liu, Haohui Ye, Kai Zhang, Lichao Sun:
Securing Biomedical Images from Unauthorized Training with Anti-Learning Perturbation. CoRR abs/2303.02559 (2023) - [i89]Yixin Liu, Chenrui Fan, Pan Zhou, Lichao Sun:
Unlearnable Graph: Protecting Graphs from Unauthorized Exploitation. CoRR abs/2303.02568 (2023) - [i88]Yihan Cao, Siyu Li, Yixin Liu, Zhiling Yan, Yutong Dai, Philip S. Yu, Lichao Sun:
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT. CoRR abs/2303.04226 (2023) - [i87]Kai Zhang, Yutong Dai, Hongyi Wang, Eric P. Xing, Xun Chen, Lichao Sun:
Memory-adaptive Depth-wise Heterogenous Federated Learning. CoRR abs/2303.04887 (2023) - [i86]Wenxuan Wang, Jing Wang, Chen Chen, Jianbo Jiao, Lichao Sun, Yuanxiu Cai, Shanshan Song, Jiangyun Li:
FreMAE: Fourier Transform Meets Masked Autoencoders for Medical Image Segmentation. CoRR abs/2304.10864 (2023) - [i85]Jiawen Shi, Yixin Liu, Pan Zhou, Lichao Sun:
BadGPT: Exploring Security Vulnerabilities of ChatGPT via Backdoor Attacks to InstructGPT. CoRR abs/2304.12298 (2023) - [i84]Yixin Liu, Hongsheng Hu, Xuyun Zhang, Lichao Sun:
Watermarking Text Data on Large Language Models for Dataset Copyright Protection. CoRR abs/2305.13257 (2023) - [i83]Kai Zhang, Jun Yu, Zhiling Yan, Yixin Liu, Eashan Adhikarla, Sunyang Fu, Xun Chen, Chen Chen, Yuyin Zhou, Xiang Li, Lifang He, Brian D. Davison, Quanzheng Li, Yong Chen, Hongfang Liu, Lichao Sun:
BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks. CoRR abs/2305.17100 (2023) - [i82]Liangqi Yuan, Lichao Sun, Philip S. Yu, Ziran Wang:
Decentralized Federated Learning: A Survey and Perspective. CoRR abs/2306.01603 (2023) - [i81]Yingqian Cui, Jie Ren, Han Xu, Pengfei He, Hui Liu, Lichao Sun, Jiliang Tang:
DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models. CoRR abs/2306.04642 (2023) - [i80]Jifeng Hu, Yanchao Sun, Sili Huang, Siyuan Guo, Hechang Chen, Li Shen, Lichao Sun, Yi Chang, Dacheng Tao:
Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning. CoRR abs/2306.04875 (2023) - [i79]Shanshan Han, Baturalp Buyukates, Zijian Hu, Han Jin, Weizhao Jin, Lichao Sun, Xiaoyang Wang, Chulin Xie, Kai Zhang, Qifan Zhang, Yuhui Zhang, Chaoyang He, Salman Avestimehr:
FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and LLMs. CoRR abs/2306.04959 (2023) - [i78]Xiaobin Rui, Zhixiao Wang, Jiayu Zhao, Lichao Sun, Wei Chen:
Scalable Fair Influence Maximization. CoRR abs/2306.06820 (2023) - [i77]Siyuan Guo, Yanchao Sun, Jifeng Hu, Sili Huang, Hechang Chen, Haiyin Piao, Lichao Sun, Yi Chang:
A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning. CoRR abs/2306.07541 (2023) - [i76]Yue Huang, Qihui Zhang, Philip S. Yu, Lichao Sun:
TrustGPT: A Benchmark for Trustworthy and Responsible Large Language Models. CoRR abs/2306.11507 (2023) - [i75]Yihan Cao, Yanbin Kang, Lichao Sun:
Instruction Mining: High-Quality Instruction Data Selection for Large Language Models. CoRR abs/2307.06290 (2023) - [i74]Zhengliang Liu, Tianyang Zhong, Yiwei Li, Yutong Zhang, Yi Pan, Zihao Zhao, Peixin Dong, Chao Cao, Yuxiao Liu, Peng Shu, Yaonai Wei, Zihao Wu, Chong Ma, Jiaqi Wang, Sheng Wang, Mengyue Zhou, Zuowei Jiang, Chunlin Li, Jason Holmes, Shaochen Xu, Lu Zhang, Haixing Dai, Kai Zhang, Lin Zhao, Yuanhao Chen, Xu Liu, Peilong Wang, Pingkun Yan, Jun Liu, Bao Ge, Lichao Sun, Dajiang Zhu, Xiang Li, Wei Liu, Xiaoyan Cai, Xintao Hu, Xi Jiang, Shu Zhang, Xin Zhang, Tuo Zhang, Shijie Zhao, Quanzheng Li, Hongtu Zhu, Dinggang Shen, Tianming Liu:
Evaluating Large Language Models for Radiology Natural Language Processing. CoRR abs/2307.13693 (2023) - [i73]Qiufan Ji, Lin Wang, Cong Shi, Shengshan Hu, Yingying Chen, Lichao Sun:
Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples. CoRR abs/2307.16361 (2023) - [i72]Lai Wei, Zihao Jiang, Weiran Huang, Lichao Sun:
InstructionGPT-4: A 200-Instruction Paradigm for Fine-Tuning MiniGPT-4. CoRR abs/2308.12067 (2023) - [i71]Cheng Chen, Juzheng Miao, Dufan Wu, Zhiling Yan, Sekeun Kim, Jiang Hu, Aoxiao Zhong, Zhengliang Liu, Lichao Sun, Xiang Li, Tianming Liu, Pheng-Ann Heng, Quanzheng Li:
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation. CoRR abs/2309.08842 (2023) - [i70]Hongsheng Hu, Xuyun Zhang, Zoran Salcic, Lichao Sun, Kim-Kwang Raymond Choo, Gillian Dobbie:
Source Inference Attacks: Beyond Membership Inference Attacks in Federated Learning. CoRR abs/2310.00222 (2023) - [i69]Yue Huang, Jiawen Shi, Yuan Li, Chenrui Fan, Siyuan Wu, Qihui Zhang, Yixin Liu, Pan Zhou, Yao Wan, Neil Zhenqiang Gong, Lichao Sun:
MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use. CoRR abs/2310.03128 (2023) - [i68]Yue Huang, Lichao Sun:
Harnessing the Power of ChatGPT in Fake News: An In-Depth Exploration in Generation, Detection and Explanation. CoRR abs/2310.05046 (2023) - [i67]Sili Huang, Yanchao Sun, Jifeng Hu, Siyuan Guo, Hechang Chen, Yi Chang, Lichao Sun, Bo Yang:
Learning Generalizable Agents via Saliency-Guided Features Decorrelation. CoRR abs/2310.05086 (2023) - [i66]Yuan Li, Yixuan Zhang, Lichao Sun:
MetaAgents: Simulating Interactions of Human Behaviors for LLM-based Task-oriented Coordination via Collaborative Generative Agents. CoRR abs/2310.06500 (2023) - [i65]Yixin Liu, Chenrui Fan, Xun Chen, Pan Zhou, Lichao Sun:
GraphCloak: Safeguarding Task-specific Knowledge within Graph-structured Data from Unauthorized Exploitation. CoRR abs/2310.07100 (2023) - [i64]Jiawei Liu, Cheng Yang, Zhiyuan Lu, Junze Chen, Yibo Li, Mengmei Zhang, Ting Bai, Yuan Fang, Lichao Sun, Philip S. Yu, Chuan Shi:
Towards Graph Foundation Models: A Survey and Beyond. CoRR abs/2310.11829 (2023) - [i63]Zhiling Yan, Kai Zhang, Rong Zhou, Lifang He, Xiang Li, Lichao Sun:
Multimodal ChatGPT for Medical Applications: an Experimental Study of GPT-4V. CoRR abs/2310.19061 (2023) - [i62]Yuanwei Wu, Xiang Li, Yixin Liu, Pan Zhou, Lichao Sun:
Jailbreaking GPT-4V via Self-Adversarial Attacks with System Prompts. CoRR abs/2311.09127 (2023) - [i61]Ruoxi Chen, Haibo Jin, Jinyin Chen, Lichao Sun:
EditShield: Protecting Unauthorized Image Editing by Instruction-guided Diffusion Models. CoRR abs/2311.12066 (2023) - [i60]Yixin Liu, Kaidi Xu, Xun Chen, Lichao Sun:
Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise. CoRR abs/2311.13091 (2023) - [i59]Yixin Liu, Chenrui Fan, Yutong Dai, Xun Chen, Pan Zhou, Lichao Sun:
Toward Robust Imperceptible Perturbation against Unauthorized Text-to-image Diffusion-based Synthesis. CoRR abs/2311.13127 (2023) - [i58]Fei Kong, Jinhao Duan, Lichao Sun, Hao Cheng, Renjing Xu, Hengtao Shen, Xiaofeng Zhu, Xiaoshuang Shi, Kaidi Xu:
ACT: Adversarial Consistency Models. CoRR abs/2311.14097 (2023) - [i57]Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang:
Improving Faithfulness for Vision Transformers. CoRR abs/2311.17983 (2023) - [i56]Xiao Liu, Xuanyu Lei, Shengyuan Wang, Yue Huang, Zhuoer Feng, Bosi Wen, Jiale Cheng, Pei Ke, Yifan Xu, Weng Lam Tam, Xiaohan Zhang, Lichao Sun, Hongning Wang, Jing Zhang, Minlie Huang, Yuxiao Dong, Jie Tang:
AlignBench: Benchmarking Chinese Alignment of Large Language Models. CoRR abs/2311.18743 (2023) - [i55]Eashan Adhikarla, Kai Zhang, Jun Yu, Lichao Sun, John W. Nicholson, Brian D. Davison:
Robust Computer Vision in an Ever-Changing World: A Survey of Techniques for Tackling Distribution Shifts. CoRR abs/2312.01540 (2023) - [i54]Zhengliang Liu, Hanqi Jiang, Tianyang Zhong, Zihao Wu, Chong Ma, Yiwei Li, Xiaowei Yu, Yutong Zhang, Yi Pan, Peng Shu, Yanjun Lyu, Lu Zhang, Junjie Yao, Peixin Dong, Chao Cao, Zhenxiang Xiao, Jiaqi Wang, Huan Zhao, Shaochen Xu, Yaonai Wei, Jingyuan Chen, Haixing Dai, Peilong Wang, Hao He, Zewei Wang, Xinyu Wang, Xu Zhang, Lin Zhao, Yiheng Liu, Kai Zhang, Liheng Yan, Lichao Sun, Jun Liu, Ning Qiang, Bao Ge, Xiaoyan Cai, Shijie Zhao, Xintao Hu, Yixuan Yuan, Gang Li, Shu Zhang, Xin Zhang, Xi Jiang, Tuo Zhang, Dinggang Shen, Quanzheng Li, Wei Liu, Xiang Li, Dajiang Zhu, Tianming Liu:
Holistic Evaluation of GPT-4V for Biomedical Imaging. CoRR abs/2312.05256 (2023) - [i53]Kaipeng Zheng, Weiran Huang, Lichao Sun:
Efficient Few-Shot Clinical Task Adaptation with Large Language Models. CoRR abs/2312.07125 (2023) - [i52]Zixiang Wei, Yiting Wang, Lichao Sun, Athanasios V. Vasilakos, Lin Wang:
ClassLIE: Structure- and Illumination-Adaptive Classification for Low-Light Image Enhancement. CoRR abs/2312.13265 (2023) - 2022
- [j10]Hongsheng Hu, Zoran Salcic, Lichao Sun, Gillian Dobbie, Philip S. Yu, Xuyun Zhang:
Membership Inference Attacks on Machine Learning: A Survey. ACM Comput. Surv. 54(11s): 235:1-235:37 (2022) - [j9]Xiaohang Xu, Hao Peng, Md. Zakirul Alam Bhuiyan, Zhifeng Hao, Lianzhong Liu, Lichao Sun, Lifang He:
Privacy-Preserving Federated Depression Detection From Multisource Mobile Health Data. IEEE Trans. Ind. Informatics 18(7): 4788-4797 (2022) - [j8]Qian Li, Hao Peng, Jianxin Li, Congying Xia, Renyu Yang, Lichao Sun, Philip S. Yu, Lifang He:
A Survey on Text Classification: From Traditional to Deep Learning. ACM Trans. Intell. Syst. Technol. 13(2): 31:1-31:41 (2022) - [j7]Sicong Che, Zhaoming Kong, Hao Peng, Lichao Sun, Alex D. Leow, Yong Chen, Lifang He:
Federated Multi-view Learning for Private Medical Data Integration and Analysis. ACM Trans. Intell. Syst. Technol. 13(4): 61:1-61:23 (2022) - [j6]Yuanyishu Tian, Yao Wan, Lingjuan Lyu, Dezhong Yao, Hai Jin, Lichao Sun:
FedBERT: When Federated Learning Meets Pre-training. ACM Trans. Intell. Syst. Technol. 13(4): 66:1-66:26 (2022) - [j5]Chen Li, Hao Peng, Jianxin Li, Lichao Sun, Lingjuan Lyu, Lihong Wang, Philip S. Yu, Lifang He:
Joint Stance and Rumor Detection in Hierarchical Heterogeneous Graph. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2530-2542 (2022) - [c40]Chandra Thapa, Mahawaga Arachchige Pathum Chamikara, Seyit Camtepe, Lichao Sun:
SplitFed: When Federated Learning Meets Split Learning. AAAI 2022: 8485-8493 - [c39]Sijia Wang, Mo Yu, Shiyu Chang, Lichao Sun, Lifu Huang:
Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding. ACL (Findings) 2022: 169-182 - [c38]Gongxu Luo, Chenyang Li, Hejie Cui, Lichao Sun, Lifang He, Carl Yang:
Multi-View Brain Network Analysis with Cross-View Missing Network Generation. BIBM 2022: 108-115 - [c37]Carl Yang, Xiaoxiao Li, Nathalie Baracaldo, Neil Shah, Chaoyang He, Lingjuan Lyu, Lichao Sun, Salman Avestimehr:
The 1st International Workshop on Federated Learning with Graph Data (FedGraph). CIKM 2022: 5179-5180 - [c36]Yanqiao Zhu, Hejie Cui, Lifang He, Lichao Sun, Carl Yang:
Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis. EMBC 2022: 272-276 - [c35]Jiahao Zhu, Daizong Liu, Pan Zhou, Xing Di, Yu Cheng, Song Yang, Wenzheng Xu, Zichuan Xu, Yao Wan, Lichao Sun, Zeyu Xiong:
Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding. EMNLP (Findings) 2022: 590-600 - [c34]Kai Zhang, Yu Wang, Hongyi Wang, Lifu Huang, Carl Yang, Xun Chen, Lichao Sun:
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation. EMNLP (Findings) 2022: 613-621 - [c33]Zhiyuan Zhang, Lingjuan Lyu, Weiqiang Wang, Lichao Sun, Xu Sun:
How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data. ICLR 2022 - [c32]Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun:
Data-Free Adversarial Knowledge Distillation for Graph Neural Networks. IJCAI 2022: 2441-2447 - [c31]Hongsheng Hu, Zoran Salcic, Gillian Dobbie, Jinjun Chen, Lichao Sun, Xuyun Zhang:
Membership Inference via Backdooring. IJCAI 2022: 3832-3838 - [c30]Jun Yu, Zhaoming Kong, Aditya Kendre, Hao Peng, Carl Yang, Lichao Sun, Alex D. Leow, Lifang He:
Structure-Preserving Graph Kernel for Brain Network Classification. ISBI 2022: 1-5 - [c29]Yuhua Sun, Tailai Zhang, Xingjun Ma, Pan Zhou, Jian Lou, Zichuan Xu, Xing Di, Yu Cheng, Lichao Sun:
Backdoor Attacks on Crowd Counting. ACM Multimedia 2022: 5351-5360 - [c28]Jifeng Hu, Yanchao Sun, Hechang Chen, Sili Huang, Haiyin Piao, Yi Chang, Lichao Sun:
Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning. NeurIPS 2022 - [c27]Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun, Jundong Li, George H. Chen, Zhihao Jia, Philip S. Yu:
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs. NeurIPS 2022 - [c26]Yao Wan, Shijie Zhang, Hongyu Zhang, Yulei Sui, Guandong Xu, Dezhong Yao, Hai Jin, Lichao Sun:
You see what I want you to see: poisoning vulnerabilities in neural code search. ESEC/SIGSOFT FSE 2022: 1233-1245 - [c25]Ce Zhou, Qiben Yan, Yan Shi, Lichao Sun:
DoubleStar: Long-Range Attack Towards Depth Estimation based Obstacle Avoidance in Autonomous Systems. USENIX Security Symposium 2022: 1885-1902 - [i51]Kai Zhang, Yu Wang, Hongyi Wang, Lifu Huang, Carl Yang, Lichao Sun:
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation. CoRR abs/2203.09553 (2022) - [i50]Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun:
Data-Free Adversarial Knowledge Distillation for Graph Neural Networks. CoRR abs/2205.03811 (2022) - [i49]Barry Menglong Yao, Aditya Shah, Lichao Sun, Jin-Hee Cho, Lifu Huang:
End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models. CoRR abs/2205.12487 (2022) - [i48]Hongsheng Hu, Zoran Salcic, Gillian Dobbie, Jinjun Chen, Lichao Sun, Xuyun Zhang:
Membership Inference via Backdooring. CoRR abs/2206.04823 (2022) - [i47]Jiaxiang Tang, Jinbao Zhu, Songze Li, Kai Zhang, Lichao Sun:
Fully Privacy-Preserving Federated Representation Learning via Secure Embedding Aggregation. CoRR abs/2206.09097 (2022) - [i46]Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun, Jundong Li, George H. Chen, Zhihao Jia, Philip S. Yu:
Benchmarking Node Outlier Detection on Graphs. CoRR abs/2206.10071 (2022) - [i45]Yuhua Sun, Tailai Zhang, Xingjun Ma, Pan Zhou, Jian Lou, Zichuan Xu, Xing Di, Yu Cheng, Lichao Sun:
Backdoor Attacks on Crowd Counting. CoRR abs/2207.05641 (2022) - [i44]Qucheng Peng, Zhengming Ding, Lingjuan Lyu, Lichao Sun, Chen Chen:
Toward Better Target Representation for Source-Free and Black-Box Domain Adaptation. CoRR abs/2208.10531 (2022) - [i43]Lichao Sun, Xiaobin Rui, Wei Chen:
Scalable Adversarial Attack Algorithms on Influence Maximization. CoRR abs/2209.00892 (2022) - [i42]Jifeng Hu, Yanchao Sun, Hechang Chen, Sili Huang, Haiyin Piao, Yi Chang, Lichao Sun:
Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning. CoRR abs/2210.07636 (2022) - [i41]Jie Ren, Han Xu, Yuxuan Wan, Xingjun Ma, Lichao Sun, Jiliang Tang:
Transferable Unlearnable Examples. CoRR abs/2210.10114 (2022) - [i40]Shengshan Hu, Junwei Zhang, Wei Liu, Junhui Hou, Minghui Li, Leo Yu Zhang, Hai Jin, Lichao Sun:
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models Against Adversarial Examples. CoRR abs/2211.12294 (2022) - [i39]Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang:
SEAT: Stable and Explainable Attention. CoRR abs/2211.13290 (2022) - [i38]Yutong Dai, Zeyuan Chen, Junnan Li, Shelby Heinecke, Lichao Sun, Ran Xu:
Tackling Data Heterogeneity in Federated Learning with Class Prototypes. CoRR abs/2212.02758 (2022) - [i37]Jiaxiang Tang, Jinbao Zhu, Songze Li, Kai Zhang, Lichao Sun:
Fully Privacy-Preserving Federated Representation Learning via Secure Embedding Aggregation. IACR Cryptol. ePrint Arch. 2022: 784 (2022) - 2021
- [j4]Jun Zhao, Xudong Liu, Qiben Yan, Bo Li, Minglai Shao, Hao Peng, Lichao Sun:
Automatically predicting cyber attack preference with attributed heterogeneous attention networks and transductive learning. Comput. Secur. 102: 102152 (2021) - [j3]Zhixiao Wang, Chengcheng Sun, Xiaobin Rui, Philip S. Yu, Lichao Sun:
Localization of multiple diffusion sources based on overlapping community detection. Knowl. Based Syst. 226: 106613 (2021) - [j2]Lichao Sun, Bokai Cao, Ji Wang, Witawas Srisa-an, Philip S. Yu, Alex D. Leow, Stephen Checkoway:
Kollector: Detecting Fraudulent Activities on Mobile Devices Using Deep Learning. IEEE Trans. Mob. Comput. 20(4): 1465-1476 (2021) - [c24]Michalis Diamantaris, Serafeim Moustakas, Lichao Sun, Sotiris Ioannidis, Jason Polakis:
This Sneaky Piggy Went to the Android Ad Market: Misusing Mobile Sensors for Stealthy Data Exfiltration. CCS 2021: 1065-1081 - [c23]Chen Li, Xutan Peng, Hao Peng, Jia Wu, Lihong Wang, Philip S. Yu, Jianxin Li, Lichao Sun:
Graph-based Semi-Supervised Learning by Strengthening Local Label Consistency. CIKM 2021: 3201-3205 - [c22]Yu Wang, Zhiwei Liu, Ziwei Fan, Lichao Sun, Philip S. Yu:
DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN. CIKM 2021: 3513-3517 - [c21]Hongsheng Hu, Zoran Salcic, Lichao Sun, Gillian Dobbie, Xuyun Zhang:
Source Inference Attacks in Federated Learning. ICDM 2021: 1102-1107 - [c20]Lichao Sun, Lingjuan Lyu:
Federated Model Distillation with Noise-Free Differential Privacy. IJCAI 2021: 1563-1570 - [c19]Lichao Sun, Jianwei Qian, Xun Chen:
LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy. IJCAI 2021: 1571-1578 - [c18]Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He:
Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks. IJCAI 2021: 2767-2774 - [c17]Carl Yang, Haonan Wang, Ke Zhang, Liang Chen, Lichao Sun:
Secure Deep Graph Generation with Link Differential Privacy. IJCAI 2021: 3271-3278 - [c16]Xuanli He, Lingjuan Lyu, Lichao Sun, Qiongkai Xu:
Model Extraction and Adversarial Transferability, Your BERT is Vulnerable! NAACL-HLT 2021: 2006-2012 - [c15]Ke Zhang, Carl Yang, Xiaoxiao Li, Lichao Sun, Siu-Ming Yiu:
Subgraph Federated Learning with Missing Neighbor Generation. NeurIPS 2021: 6671-6682 - [c14]Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun:
User Preference-aware Fake News Detection. SIGIR 2021: 2051-2055 - [i36]Xiaohang Xu, Hao Peng, Lichao Sun, Yan Niu, Hongyuan Ma, Lianzhong Liu, Lifang He:
Federated Depression Detection from Multi-SourceMobile Health Data. CoRR abs/2102.09342 (2021) - [i35]Xuanli He, Lingjuan Lyu, Qiongkai Xu, Lichao Sun:
Model Extraction and Adversarial Transferability, Your BERT is Vulnerable! CoRR abs/2103.10013 (2021) - [i34]Yingtong Dou, Kai Shu, Congying Xia, Philip S. Yu, Lichao Sun:
User Preference-aware Fake News Detection. CoRR abs/2104.12259 (2021) - [i33]Sicong Che, Hao Peng, Lichao Sun, Yong Chen, Lifang He:
Federated Multi-View Learning for Private Medical Data Integration and Analysis. CoRR abs/2105.01603 (2021) - [i32]Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He:
Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks. CoRR abs/2105.03178 (2021) - [i31]Lingjuan Lyu, Xuanli He, Fangzhao Wu, Lichao Sun:
Killing Two Birds with One Stone: Stealing Model and Inferring Attribute from BERT-based APIs. CoRR abs/2105.10909 (2021) - [i30]Ke Zhang, Carl Yang, Xiaoxiao Li, Lichao Sun, Siu-Ming Yiu:
Subgraph Federated Learning with Missing Neighbor Generation. CoRR abs/2106.13430 (2021) - [i29]Wanning Pan, Lichao Sun:
Global Knowledge Distillation in Federated Learning. CoRR abs/2107.00051 (2021) - [i28]Yanqiao Zhu, Hejie Cui, Lifang He, Lichao Sun, Carl Yang:
Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis. CoRR abs/2107.03220 (2021) - [i27]Zhaoming Kong, Lichao Sun, Hao Peng, Liang Zhan, Yong Chen, Lifang He:
Multiplex Graph Networks for Multimodal Brain Network Analysis. CoRR abs/2108.00158 (2021) - [i26]Yiming Hei, Renyu Yang, Hao Peng, Lihong Wang, Xiaolin Xu, Jianwei Liu, Hong Liu, Jie Xu, Lichao Sun:
HAWK: Rapid Android Malware Detection through Heterogeneous Graph Attention Networks. CoRR abs/2108.07548 (2021) - [i25]Yu Wang, Zhiwei Liu, Ziwei Fan, Lichao Sun, Philip S. Yu:
DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN. CoRR abs/2108.11883 (2021) - [i24]Zhiyuan Zhang, Lingjuan Lyu, Weiqiang Wang, Lichao Sun, Xu Sun:
How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data. CoRR abs/2109.01300 (2021) - [i23]Hongsheng Hu, Zoran Salcic, Lichao Sun, Gillian Dobbie, Xuyun Zhang:
Source Inference Attacks in Federated Learning. CoRR abs/2109.05659 (2021) - [i22]Ce Zhou, Qiben Yan, Yan Shi, Lichao Sun:
DoubleStar: Long-Range Attack Towards Depth Estimation based Obstacle Avoidance in Autonomous Systems. CoRR abs/2110.03154 (2021) - [i21]Sijia Wang, Mo Yu, Shiyu Chang, Lichao Sun, Lifu Huang:
Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding. CoRR abs/2110.07476 (2021) - [i20]Zhaoming Kong, Aditya Kendre, Jun Yu, Hao Peng, Carl Yang, Lichao Sun, Alex D. Leow, Lifang He:
Structure-Preserving Graph Kernel for Brain Network Classification. CoRR abs/2111.10803 (2021) - [i19]Dezhong Yao, Wanning Pan, Yao Wan, Hai Jin, Lichao Sun:
FedHM: Efficient Federated Learning for Heterogeneous Models via Low-rank Factorization. CoRR abs/2111.14655 (2021) - 2020
- [c13]Lichao Sun, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu, Lifang He:
Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks. COLING 2020: 3436-3440 - [c12]Zhongyuan Jiang, Lichao Sun, Philip S. Yu, Hui Li, Jianfeng Ma, Yulong Shen:
Target Privacy Preserving for Social Networks. ICDE 2020: 1862-1865 - [c11]Lichao Sun, Albert Chen, Philip S. Yu, Wei Chen:
Influence Maximization with Spontaneous User Adoption. WSDM 2020: 573-581 - [i18]Zhongyuan Jiang, Lichao Sun, Philip S. Yu, Hui Li, Jianfeng Ma, Yulong Shen:
Target Privacy Preserving for Social Networks. CoRR abs/2002.03284 (2020) - [i17]Lichao Sun, Yingbo Zhou, Philip S. Yu, Caiming Xiong:
Differentially Private Deep Learning with Smooth Sensitivity. CoRR abs/2003.00505 (2020) - [i16]Lichao Sun, Kazuma Hashimoto, Wenpeng Yin, Akari Asai, Jia Li, Philip S. Yu, Caiming Xiong:
Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT. CoRR abs/2003.04985 (2020) - [i15]Carl Yang, Haonan Wang, Lichao Sun, Bo Li:
Secure Network Release with Link Privacy. CoRR abs/2005.00455 (2020) - [i14]Lichao Sun, Jianwei Qian, Xun Chen, Philip S. Yu:
LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy. CoRR abs/2007.15789 (2020) - [i13]Qian Li, Hao Peng, Jianxin Li, Congying Xia, Renyu Yang, Lichao Sun, Philip S. Yu, Lifang He:
A Survey on Text Classification: From Shallow to Deep Learning. CoRR abs/2008.00364 (2020) - [i12]Lichao Sun, Lingjuan Lyu:
Federated Model Distillation with Noise-Free Differential Privacy. CoRR abs/2009.05537 (2020) - [i11]Lichao Sun, Congying Xia, Wenpeng Yin, Tingting Liang, Philip S. Yu, Lifang He:
Mixup-Transfomer: Dynamic Data Augmentation for NLP Tasks. CoRR abs/2010.02394 (2020) - [i10]Lingjuan Lyu, Han Yu, Xingjun Ma, Lichao Sun, Jun Zhao, Qiang Yang, Philip S. Yu:
Privacy and Robustness in Federated Learning: Attacks and Defenses. CoRR abs/2012.06337 (2020)
2010 – 2019
- 2019
- [c10]Ji Wang, Weidong Bao, Lichao Sun, Xiaomin Zhu, Bokai Cao, Philip S. Yu:
Private Model Compression via Knowledge Distillation. AAAI 2019: 1190-1197 - [c9]Xiaokai Wei, Zhiwei Liu, Lichao Sun, Philip S. Yu:
Meta-path Reduction with Transition Probability Preserving in Heterogeneous Information Network. IEEE BigData 2019: 1245-1250 - [i9]Lichao Sun, Albert Chen, Philip S. Yu, Wei Chen:
Self-Activation Influence Maximization. CoRR abs/1906.02296 (2019) - 2018
- [j1]Jin Li, Lichao Sun, Qiben Yan, Zhiqiang Li, Witawas Srisa-an, Heng Ye:
Significant Permission Identification for Machine-Learning-Based Android Malware Detection. IEEE Trans. Ind. Informatics 14(7): 3216-3225 (2018) - [c8]Lichao Sun, Lifang He, Zhipeng Huang, Bokai Cao, Congying Xia, Xiaokai Wei, Philip S. Yu:
Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks. ICBK 2018: 131-138 - [c7]Ji Wang, Bokai Cao, Philip S. Yu, Lichao Sun, Weidong Bao, Xiaomin Zhu:
Deep Learning towards Mobile Applications. ICDCS 2018: 1385-1393 - [c6]Lichao Sun, Weiran Huang, Philip S. Yu, Wei Chen:
Multi-Round Influence Maximization. KDD 2018: 2249-2258 - [i8]Lichao Sun, Weiran Huang, Philip S. Yu, Wei Chen:
Multi-Round Influence Maximization (Extended Version). CoRR abs/1802.04189 (2018) - [i7]Ji Wang, Bokai Cao, Philip S. Yu, Lichao Sun, Weidong Bao, Xiaomin Zhu:
Deep Learning Towards Mobile Applications. CoRR abs/1809.03559 (2018) - [i6]Lichao Sun, Lifang He, Zhipeng Huang, Bokai Cao, Congying Xia, Xiaokai Wei, Philip S. Yu:
Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks. CoRR abs/1809.04110 (2018) - [i5]Xiaokai Wei, Zhiwei Liu, Lichao Sun, Philip S. Yu:
Unsupervised Meta-path Reduction on Heterogeneous Information Networks. CoRR abs/1810.12503 (2018) - [i4]Ji Wang, Weidong Bao, Lichao Sun, Xiaomin Zhu, Bokai Cao, Philip S. Yu:
Private Model Compression via Knowledge Distillation. CoRR abs/1811.05072 (2018) - [i3]Lichao Sun, Ji Wang, Philip S. Yu, Bo Li:
Adversarial Attack and Defense on Graph Data: A Survey. CoRR abs/1812.10528 (2018) - 2017
- [c5]Lichao Sun, Xiaokai Wei, Jiawei Zhang, Lifang He, Philip S. Yu, Witawas Srisa-an:
Contaminant removal for Android malware detection systems. IEEE BigData 2017: 1053-1062 - [c4]Yuqi Wang, Jiannong Cao, Lifang He, Wengen Li, Lichao Sun, Philip S. Yu:
Coupled Sparse Matrix Factorization for Response Time Prediction in Logistics Services. CIKM 2017: 939-947 - [c3]Lichao Sun, Yuqi Wang, Bokai Cao, Philip S. Yu, Witawas Srisa-an, Alex D. Leow:
Sequential Keystroke Behavioral Biometrics for Mobile User Identification via Multi-view Deep Learning. ECML/PKDD (3) 2017: 228-240 - [i2]Lichao Sun, Yuqi Wang, Bokai Cao, Philip S. Yu, Witawas Srisa-an, Alex D. Leow:
Sequential Keystroke Behavioral Biometrics for Mobile User Identification via Multi-view Deep Learning. CoRR abs/1711.02703 (2017) - [i1]Lichao Sun, Xiaokai Wei, Jiawei Zhang, Lifang He, Philip S. Yu, Witawas Srisa-an:
Contaminant Removal for Android Malware Detection Systems. CoRR abs/1711.02715 (2017) - 2016
- [c2]Lichao Sun, Zhiqiang Li, Qiben Yan, Witawas Srisa-an, Yu Pan:
SigPID: significant permission identification for android malware detection. MALWARE 2016: 59-66 - [c1]Zhiqiang Li, Lichao Sun, Qiben Yan, Witawas Srisa-an, Zhenxiang Chen:
DroidClassifier: Efficient Adaptive Mining of Application-Layer Header for Classifying Android Malware. SecureComm 2016: 597-616
Coauthor Index
[j24] [j22] [j16] [c68] [c58] [c57] [i135] [i129] [j15] [j13] [j12] [c41] [i93] [i91] [i88] [i82] [i76] [i64] [j10] [j8] [j5] [c27] [i46] [j3] [j2] [c23] [c22] [c18] [c14] [i34] [i32] [i25] [c13] [c12] [c11] [i18] [i17] [i16] [i14] [i13] [i11] [i10] [c10] [c9] [i9] [c8] [c7] [c6] [i8] [i7] [i6] [i5] [i4] [i3] [c5] [c4] [c3] [i2] [i1]
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