Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification. - Chen Chen 043; Haobo Wang 001; Weiwei Liu 003; Xingyuan Zhao; Tianlei Hu; Gang Chen 001 (AAAI, 2019)

CAMO: A Collaborative Ranking Method for Content Based Recommendation. - Chengwei Wang; Tengfei Zhou; Chen Chen 043; Tianlei Hu; Gang Chen 001 (AAAI, 2019)

Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification. - Haobo Wang 001; Chen Chen 043; Weiwei Liu 003; Ke Chen 005; Tianlei Hu; Gang Chen 001 (AAAI, 2020)

Off-Policy Recommendation System Without Exploration. - Chengwei Wang; Tengfei Zhou; Chen Chen 043; Tianlei Hu; Gang Chen 001 (PAKDD (1), 2020)

Online Partial Label Learning. - Haobo Wang 001; Yuzhou Qiang; Chen Chen 043; Weiwei Liu 003; Tianlei Hu; Zhao Li 007; Gang Chen 001 (ECML/PKDD (2), 2020)

Robust Federated Recommendation System. - Chen Chen 043; Jingfeng Zhang; Anthony K. H. Tung; Mohan S. Kankanhalli; Gang Chen 001 (CoRR, 2020)

HAM: a deep collaborative ranking method incorporating textual information. - Chengwei Wang; Tengfei Zhou; Chen Chen 043; Tianlei Hu; Gang Chen 001 (Frontiers Inf. Technol. Electron. Eng., 2020)

Guided Interpolation for Adversarial Training. - Chen Chen 043; Jingfeng Zhang; Xilie Xu; Tianlei Hu; Gang Niu 001; Gang Chen 001; Masashi Sugiyama (CoRR, 2021)

A Novel Attribute Reconstruction Attack in Federated Learning. - Lingjuan Lyu; Chen Chen 043 (CoRR, 2021)

A Practical Data-Free Approach to One-shot Federated Learning with Heterogeneity. - Jie Zhang 081; Chen Chen 043; Bo Li 115; Lingjuan Lyu; Shuang Wu 001; Jianghe Xu; Shouhong Ding; Chao Wu 001 (CoRR, 2021)

Extracted BERT Model Leaks More Information than You Think! - Xuanli He; Lingjuan Lyu; Chen Chen 043; Qiongkai Xu (EMNLP, 2022)

DENSE: Data-Free One-Shot Federated Learning. - Jie Zhang 081; Chen Chen 043; Bo Li 115; Lingjuan Lyu; Shuang Wu 001; Shouhong Ding; Chunhua Shen; Chao Wu 001 (NeurIPS, 2022)

CalFAT: Calibrated Federated Adversarial Training with Label Skewness. - Chen Chen 043; Yuchen Liu; Xingjun Ma; Lingjuan Lyu (NeurIPS, 2022)

QEKD: Query-Efficient and Data-Free Knowledge Distillation from Black-box Models. - Jie Zhang 081; Chen Chen 043; Jiahua Dong 001; Ruoxi Jia 001; Lingjuan Lyu (CoRR, 2022)

Toward Better Target Representation for Source-Free and Black-Box Domain Adaptation. - Qucheng Peng; Zhengming Ding; Lingjuan Lyu; Lichao Sun 001; Chen Chen 043 (CoRR, 2022)

Delving into the Adversarial Robustness of Federated Learning. - Jie Zhang 081; Bo Li 115; Chen Chen 043; Lingjuan Lyu; Shuang Wu 001; Shouhong Ding; Chao Wu 001 (AAAI, 2023)

Towards Adversarially Robust Continual Learning. - Tao Bai; Chen Chen 043; Lingjuan Lyu; Jun Zhao 007; Bihan Wen (ICASSP, 2023)

TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation. - Jie Zhang 081; Chen Chen 043; Weiming Zhuang; Lingjuan Lyu (ICCV, 2023)

IDEAL: Query-Efficient Data-Free Learning from Black-Box Models. - Jie Zhang 081; Chen Chen 043; Lingjuan Lyu (ICLR, 2023)

Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting. - Yuchen Liu; Chen Chen 043; Lingjuan Lyu; Fangzhao Wu; Sai Wu; Gang Chen 001 (ICML, 2023)

RAIN: RegulArization on Input and Network for Black-Box Domain Adaptation. - Qucheng Peng; Zhengming Ding; Lingjuan Lyu; Lichao Sun 001; Chen Chen 043 (IJCAI, 2023)

Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning. - Yue Tan; Chen Chen 043; Weiming Zhuang; Xin Dong 009; Lingjuan Lyu; Guodong Long (NeurIPS, 2023)

Where Did I Come From? Origin Attribution of AI-Generated Images. - Zhenting Wang; Chen Chen 043; Yi Zeng 005; Lingjuan Lyu; Shiqing Ma (NeurIPS, 2023)

GAIN: Enhancing Byzantine Robustness in Federated Learning with Gradient Decomposition. - Yuchen Liu; Chen Chen 043; Lingjuan Lyu; Fangzhao Wu; Sai Wu; Gang Chen 001 (CoRR, 2023)

A Pathway Towards Responsible AI Generated Content. - Chen Chen 043; Jie Fu 001; Lingjuan Lyu (CoRR, 2023)

Addressing Catastrophic Forgetting in Federated Class-Continual Learning. - Jie Zhang 081; Chen Chen 043; Weiming Zhuang; LingJuan Lv (CoRR, 2023)

Alteration-free and Model-agnostic Origin Attribution of Generated Images. - Zhenting Wang; Chen Chen 043; Yi Zeng 005; Lingjuan Lyu; Shiqing Ma (CoRR, 2023)

When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions. - Weiming Zhuang; Chen Chen 043; Lingjuan Lyu (CoRR, 2023)

How to Detect Unauthorized Data Usages in Text-to-image Diffusion Models. - Zhenting Wang; Chen Chen 043; Yuchen Liu; Lingjuan Lyu; Dimitris N. Metaxas; Shiqing Ma (CoRR, 2023)

Decision Boundary-Aware Data Augmentation for Adversarial Training. - Chen Chen 043; Jingfeng Zhang; Xilie Xu; Lingjuan Lyu; Chaochao Chen 001; Tianlei Hu; Gang Chen 001 (IEEE Trans. Dependable Secur. Comput., 2023)

FedMef: Towards Memory-Efficient Federated Dynamic Pruning. - Hong Huang; Weiming Zhuang; Chen Chen 043; Lingjuan Lyu (CVPR, 2024)

A Simple Background Augmentation Method for Object Detection with Diffusion Model. - Yuhang Li 001; Xin Dong 009; Chen Chen 043; Weiming Zhuang; Lingjuan Lyu (ECCV (66), 2024)

DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models. - Zhenting Wang; Chen Chen 043; Lingjuan Lyu; Dimitris N. Metaxas; Shiqing Ma (ICLR, 2024)

Detecting, Explaining, and Mitigating Memorization in Diffusion Models. - Yuxin Wen; Yuchen Liu; Chen Chen 043; Lingjuan Lyu (ICLR, 2024)

How to Trace Latent Generative Model Generated Images without Artificial Watermark? - Zhenting Wang; Vikash Sehwag; Chen Chen 043; Lingjuan Lyu; Dimitris N. Metaxas; Shiqing Ma (ICML, 2024)

COALA: A Practical and Vision-Centric Federated Learning Platform. - Weiming Zhuang; Jian Xu; Chen Chen 043; Jingtao Li; Lingjuan Lyu (ICML, 2024)

Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization. - Yuhang Li 001; Xin Dong 009; Chen Chen 043; Jingtao Li; Yuxin Wen; Michael Spranger; Lingjuan Lyu (CoRR, 2024)

Evaluating and Mitigating IP Infringement in Visual Generative AI. - Zhenting Wang; Chen Chen 043; Vikash Sehwag; Minzhou Pan; Lingjuan Lyu (CoRR, 2024)

EnTruth: Enhancing the Traceability of Unauthorized Dataset Usage in Text-to-image Diffusion Models with Minimal and Robust Alterations. - Jie Ren 019; Yingqian Cui; Chen Chen 043; Vikash Sehwag; Yue Xing 002; Jiliang Tang; Lingjuan Lyu (CoRR, 2024)

Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Models. - Jie Ren 019; Kangrui Chen; Chen Chen 043; Vikash Sehwag; Yue Xing 002; Jiliang Tang; Lingjuan Lyu (CoRR, 2024)

Privacy and Robustness in Federated Learning: Attacks and Defenses. - Lingjuan Lyu; Han Yu 001; Xingjun Ma; Chen Chen 043; Lichao Sun 001; Jun Zhao 007; Qiang Yang 001; Philip S. Yu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Practical Attribute Reconstruction Attack Against Federated Learning. - Chen Chen 043; Lingjuan Lyu; Han Yu 001; Gang Chen 001 (IEEE Trans. Big Data, 2024)

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning. - Yuchen Liu; Chen Chen 043; Lingjuan Lyu; Yaochu Jin; Gang Chen 001 (AAAI, 2025)

Argus: A Compact and Versatile Foundation Model for Vision. - Weiming Zhuang; Chen Chen 043; Zhizhong Li; Sina Sajadmanesh; Jingtao Li; Jiabo Huang; Vikash Sehwag; Vivek Sharma 001; Hirotaka Shinozaki; Felan Carlo Garcia; Yihao Zhan; Naohiro Adachi; et al. (CVPR, 2025)

Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Model. - Jie Ren 019; Kangrui Chen; Chen Chen 043; Vikash Sehwag; Yue Xing 002; Jiliang Tang; Lingjuan Lyu (WWW, 2025)

Seeing Further on the Shoulders of Giants: Knowledge Inheritance for Vision Foundation Models. - Jiabo Huang; Chen Chen 043; Lingjuan Lyu (CoRR, 2025)