Chen Chen

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Single Label Classification

Learning Platform

Textual Information

Diffusion Models

Top Venues

Publications

Weiming Zhuang, Jian Xu, Chen Chen, Jingtao Li, Lingjuan Lyu
COALA: A Practical and Vision-Centric Federated Learning Platform. CoRR (2024)
Hong Huang, Weiming Zhuang, Chen Chen, Lingjuan Lyu
FedMef: Towards Memory-efficient Federated Dynamic Pruning. CoRR (2024)
Yuhang Li, Xin Dong, Chen Chen, Jingtao Li, Yuxin Wen, Michael Spranger, Lingjuan Lyu
Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and Utilization. CoRR (2024)
Zhenting Wang, Chen Chen, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma
DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models. ICLR (2024)
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) (2024)
Jie Ren, Yingqian Cui, Chen Chen, Vikash Sehwag, Yue Xing, Jiliang Tang, Lingjuan Lyu
EnTruth: Enhancing the Traceability of Unauthorized Dataset Usage in Text-to-image Diffusion Models with Minimal and Robust Alterations. CoRR (2024)
Zhenting Wang, Chen Chen, Vikash Sehwag, Minzhou Pan, Lingjuan Lyu
Evaluating and Mitigating IP Infringement in Visual Generative AI. CoRR (2024)
Zhenting Wang, Vikash Sehwag, Chen Chen, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma
How to Trace Latent Generative Model Generated Images without Artificial Watermark? CoRR (2024)
Yuxin Wen, Yuchen Liu, Chen Chen, Lingjuan Lyu
Detecting, Explaining, and Mitigating Memorization in Diffusion Models. ICLR (2024)
Chen Chen, Jingfeng Zhang, Xilie Xu, Lingjuan Lyu, Chaochao Chen, Tianlei Hu, Gang Chen
Decision Boundary-Aware Data Augmentation for Adversarial Training. IEEE Trans. Dependable Secur. Comput. 20 (3) (2023)
Zhenting Wang, Chen Chen, Yi Zeng, Lingjuan Lyu, Shiqing Ma
Where Did I Come From? Origin Attribution of AI-Generated Images. NeurIPS (2023)
Chen Chen, Jingfeng Zhang, Xilie Xu, Tianlei Hu, Gang Niu, Gang Chen, Masashi Sugiyama
Guided Interpolation for Adversarial Training. CoRR (2021)
Haobo Wang, Yuzhou Qiang, Chen Chen, Weiwei Liu, Tianlei Hu, Zhao Li, Gang Chen
Online Partial Label Learning. ECML/PKDD (2) (2020)
Chen Chen, Jingfeng Zhang, Anthony K. H. Tung, Mohan S. Kankanhalli, Gang Chen
Robust Federated Recommendation System. CoRR (2020)
Haobo Wang, Chen Chen, Weiwei Liu, Ke Chen, Tianlei Hu, Gang Chen
Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification. AAAI (2020)
Chengwei Wang, Tengfei Zhou, Chen Chen, Tianlei Hu, Gang Chen
HAM: a deep collaborative ranking method incorporating textual information. Frontiers Inf. Technol. Electron. Eng. 21 (8) (2020)
Chengwei Wang, Tengfei Zhou, Chen Chen, Tianlei Hu, Gang Chen
Off-Policy Recommendation System Without Exploration. PAKDD (1) (2020)
Chen Chen, Haobo Wang, Weiwei Liu, Xingyuan Zhao, Tianlei Hu, Gang Chen
Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification. AAAI (2019)
Chengwei Wang, Tengfei Zhou, Chen Chen, Tianlei Hu, Gang Chen
CAMO: A Collaborative Ranking Method for Content Based Recommendation. AAAI (2019)