Chen Chen - RankMe

61 papers A* 23Misc 1Journal 34Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Argus: A Compact and Versatile Foundation Model for Vision. CVPR Weiming Zhuang, Chen Chen, Zhizhong Li, Sina Sajadmanesh, Jingtao Li, Jiabo Huang, Vikash Sehwag, Vivek Sharma, Hirotaka Shinozaki, Felan Carlo Garcia, Yihao Zhan, Naohiro Adachi, Ryoji Eki, Michael Spranger, Peter Stone, Lingjuan Lyu
2025	J	`jnl`	Closer to Reality: Practical Semi-Supervised Federated Learning for Foundation Model Adaptation. CoRR Guang-Yu Sun, Jingtao Li, Weiming Zhuang, Chen Chen, Chen Chen, Lingjuan Lyu
2025	A*	`conf`	Enhancing Foundation Models with Federated Domain Knowledge Infusion. ICML Jiaqi Wang, Jingtao Li, Weiming Zhuang, Chen Chen, Lingjuan Lyu, Fenglong Ma
2025	A*	`conf`	Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning. AAAI Yuchen Liu, Chen Chen, Lingjuan Lyu, Yaochu Jin, Gang Chen
2025	J	`jnl`	Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning. CoRR Yuchen Liu, Chen Chen, Lingjuan Lyu, Yaochu Jin, Gang Chen
2025	J	`jnl`	FEDEXCHANGE: Bridging the Domain Gap in Federated Object Detection for Free. CoRR Haolin Yuan, Jingtao Li, Weiming Zhuang, Chen Chen, Lingjuan Lyu
2025	A*	`conf`	How to Evaluate and Mitigate IP Infringement in Visual Generative AI? ICML Zhenting Wang, Chen Chen, Vikash Sehwag, Minzhou Pan, Lingjuan Lyu
2025	J	`jnl`	Seeing Further on the Shoulders of Giants: Knowledge Inheritance for Vision Foundation Models. CoRR Jiabo Huang, Chen Chen, Lingjuan Lyu
2025	A*	`conf`	Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Model. WWW Jie Ren, Kangrui Chen, Chen Chen, Vikash Sehwag, Yue Xing, Jiliang Tang, Lingjuan Lyu
2025	J	`jnl`	UNIFORM: Unifying Knowledge from Large-scale and Diverse Pre-trained Models. CoRR Yimu Wang, Weiming Zhuang, Chen Chen, Jiabo Huang, Jingtao Li, Lingjuan Lyu
2024	—	`conf`	A Simple Background Augmentation Method for Object Detection with Diffusion Model. ECCV (66) Yuhang Li, Xin Dong, Chen Chen, Weiming Zhuang, Lingjuan Lyu
2024	J	`jnl`	A Simple Background Augmentation Method for Object Detection with Diffusion Model. CoRR Yuhang Li, Xin Dong, Chen Chen, Weiming Zhuang, Lingjuan Lyu
2024	A*	`conf`	COALA: A Practical and Vision-Centric Federated Learning Platform. ICML Weiming Zhuang, Jian Xu, Chen Chen, Jingtao Li, Lingjuan Lyu
2024	J	`jnl`	COALA: A Practical and Vision-Centric Federated Learning Platform. CoRR Weiming Zhuang, Jian Xu, Chen Chen, Jingtao Li, Lingjuan Lyu
2024	A*	`conf`	DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models. ICLR Zhenting Wang, Chen Chen, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma
2024	A*	`conf`	Detecting, Explaining, and Mitigating Memorization in Diffusion Models. ICLR Yuxin Wen, Yuchen Liu, Chen Chen, Lingjuan Lyu
2024	J	`jnl`	Detecting, Explaining, and Mitigating Memorization in Diffusion Models. CoRR Yuxin Wen, Yuchen Liu, Chen Chen, Lingjuan Lyu
2024	J	`jnl`	EnTruth: Enhancing the Traceability of Unauthorized Dataset Usage in Text-to-image Diffusion Models with Minimal and Robust Alterations. CoRR Jie Ren, Yingqian Cui, Chen Chen, Vikash Sehwag, Yue Xing, Jiliang Tang, Lingjuan Lyu
2024	J	`jnl`	Evaluating and Mitigating IP Infringement in Visual Generative AI. CoRR Zhenting Wang, Chen Chen, Vikash Sehwag, Minzhou Pan, Lingjuan Lyu
2024	A*	`conf`	FedMef: Towards Memory-Efficient Federated Dynamic Pruning. CVPR Hong Huang, Weiming Zhuang, Chen Chen, Lingjuan Lyu
2024	J	`jnl`	FedMef: Towards Memory-efficient Federated Dynamic Pruning. CoRR Hong Huang, Weiming Zhuang, Chen Chen, Lingjuan Lyu
2024	A*	`conf`	How to Trace Latent Generative Model Generated Images without Artificial Watermark? ICML Zhenting Wang, Vikash Sehwag, Chen Chen, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma
2024	J	`jnl`	How to Trace Latent Generative Model Generated Images without Artificial Watermark? CoRR Zhenting Wang, Vikash Sehwag, Chen Chen, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma
2024	J	`jnl`	Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization. CoRR Yuhang Li, Xin Dong, Chen Chen, Jingtao Li, Yuxin Wen, Michael Spranger, Lingjuan Lyu
2024	J	`jnl`	Practical Attribute Reconstruction Attack Against Federated Learning. IEEE Trans. Big Data Chen Chen, Lingjuan Lyu, Han Yu, Gang Chen
2024	J	`jnl`	Privacy and Robustness in Federated Learning: Attacks and Defenses. IEEE Trans. Neural Networks Learn. Syst. Lingjuan Lyu, Han Yu, Xingjun Ma, Chen Chen, Lichao Sun, Jun Zhao, Qiang Yang, Philip S. Yu
2024	J	`jnl`	Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Models. CoRR Jie Ren, Kangrui Chen, Chen Chen, Vikash Sehwag, Yue Xing, Jiliang Tang, Lingjuan Lyu
2023	J	`jnl`	A Pathway Towards Responsible AI Generated Content. CoRR Chen Chen, Jie Fu, Lingjuan Lyu
2023	J	`jnl`	Addressing Catastrophic Forgetting in Federated Class-Continual Learning. CoRR Jie Zhang, Chen Chen, Weiming Zhuang, LingJuan Lv
2023	J	`jnl`	Alteration-free and Model-agnostic Origin Attribution of Generated Images. CoRR Zhenting Wang, Chen Chen, Yi Zeng, Lingjuan Lyu, Shiqing Ma
2023	A*	`conf`	Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting. ICML Yuchen Liu, Chen Chen, Lingjuan Lyu, Fangzhao Wu, Sai Wu, Gang Chen
2023	J	`jnl`	Decision Boundary-Aware Data Augmentation for Adversarial Training. IEEE Trans. Dependable Secur. Comput. Chen Chen, Jingfeng Zhang, Xilie Xu, Lingjuan Lyu, Chaochao Chen, Tianlei Hu, Gang Chen
2023	A*	`conf`	Delving into the Adversarial Robustness of Federated Learning. AAAI Jie Zhang, Bo Li, Chen Chen, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chao Wu
2023	J	`jnl`	Delving into the Adversarial Robustness of Federated Learning. CoRR Jie Zhang, Bo Li, Chen Chen, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chao Wu
2023	J	`jnl`	GAIN: Enhancing Byzantine Robustness in Federated Learning with Gradient Decomposition. CoRR Yuchen Liu, Chen Chen, Lingjuan Lyu, Fangzhao Wu, Sai Wu, Gang Chen
2023	J	`jnl`	How to Detect Unauthorized Data Usages in Text-to-image Diffusion Models. CoRR Zhenting Wang, Chen Chen, Yuchen Liu, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma
2023	A*	`conf`	IDEAL: Query-Efficient Data-Free Learning from Black-Box Models. ICLR Jie Zhang, Chen Chen, Lingjuan Lyu
2023	A*	`conf`	Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning. NeurIPS Yue Tan, Chen Chen, Weiming Zhuang, Xin Dong, Lingjuan Lyu, Guodong Long
2023	A*	`conf`	RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation. IJCAI Qucheng Peng, Zhengming Ding, Lingjuan Lyu, Lichao Sun, Chen Chen
2023	A*	`conf`	TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation. ICCV Jie Zhang, Chen Chen, Weiming Zhuang, Lingjuan Lyu
2023	Misc	`conf`	Towards Adversarially Robust Continual Learning. ICASSP Tao Bai, Chen Chen, Lingjuan Lyu, Jun Zhao, Bihan Wen
2023	J	`jnl`	Towards Adversarially Robust Continual Learning. CoRR Tao Bai, Chen Chen, Lingjuan Lyu, Jun Zhao, Bihan Wen
2023	J	`jnl`	When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions. CoRR Weiming Zhuang, Chen Chen, Lingjuan Lyu
2023	A*	`conf`	Where Did I Come From? Origin Attribution of AI-Generated Images. NeurIPS Zhenting Wang, Chen Chen, Yi Zeng, Lingjuan Lyu, Shiqing Ma
2022	A*	`conf`	CalFAT: Calibrated Federated Adversarial Training with Label Skewness. NeurIPS Chen Chen, Yuchen Liu, Xingjun Ma, Lingjuan Lyu
2022	J	`jnl`	CalFAT: Calibrated Federated Adversarial Training with Label Skewness. CoRR Chen Chen, Yuchen Liu, Xingjun Ma, Lingjuan Lyu
2022	A*	`conf`	DENSE: Data-Free One-Shot Federated Learning. NeurIPS Jie Zhang, Chen Chen, Bo Li, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chunhua Shen, Chao Wu
2022	A*	`conf`	Extracted BERT Model Leaks More Information than You Think! EMNLP Xuanli He, Lingjuan Lyu, Chen Chen, Qiongkai Xu
2022	J	`jnl`	Extracted BERT Model Leaks More Information than You Think! CoRR Xuanli He, Chen Chen, Lingjuan Lyu, Qiongkai Xu
2022	J	`jnl`	QEKD: Query-Efficient and Data-Free Knowledge Distillation from Black-box Models. CoRR Jie Zhang, Chen Chen, Jiahua Dong, Ruoxi Jia, Lingjuan Lyu
2022	J	`jnl`	Toward Better Target Representation for Source-Free and Black-Box Domain Adaptation. CoRR Qucheng Peng, Zhengming Ding, Lingjuan Lyu, Lichao Sun, Chen Chen
2021	J	`jnl`	A Novel Attribute Reconstruction Attack in Federated Learning. CoRR Lingjuan Lyu, Chen Chen
2021	J	`jnl`	A Practical Data-Free Approach to One-shot Federated Learning with Heterogeneity. CoRR Jie Zhang, Chen Chen, Bo Li, Lingjuan Lyu, Shuang Wu, Jianghe Xu, Shouhong Ding, Chao Wu
2021	J	`jnl`	Guided Interpolation for Adversarial Training. CoRR Chen Chen, Jingfeng Zhang, Xilie Xu, Tianlei Hu, Gang Niu, Gang Chen, Masashi Sugiyama
2020	J	`jnl`	HAM: a deep collaborative ranking method incorporating textual information. Frontiers Inf. Technol. Electron. Eng. Chengwei Wang, Tengfei Zhou, Chen Chen, Tianlei Hu, Gang Chen
2020	A*	`conf`	Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification. AAAI Haobo Wang, Chen Chen, Weiwei Liu, Ke Chen, Tianlei Hu, Gang Chen
2020	—	`conf`	Off-Policy Recommendation System Without Exploration. PAKDD (1) Chengwei Wang, Tengfei Zhou, Chen Chen, Tianlei Hu, Gang Chen
2020	—	`conf`	Online Partial Label Learning. ECML/PKDD (2) Haobo Wang, Yuzhou Qiang, Chen Chen, Weiwei Liu, Tianlei Hu, Zhao Li, Gang Chen
2020	J	`jnl`	Robust Federated Recommendation System. CoRR Chen Chen, Jingfeng Zhang, Anthony K. H. Tung, Mohan S. Kankanhalli, Gang Chen
2019	A*	`conf`	CAMO: A Collaborative Ranking Method for Content Based Recommendation. AAAI Chengwei Wang, Tengfei Zhou, Chen Chen, Tianlei Hu, Gang Chen
2019	A*	`conf`	Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification. AAAI Chen Chen, Haobo Wang, Weiwei Liu, Xingyuan Zhao, Tianlei Hu, Gang Chen