Chen, Ruizhe

12 publications

ICML 2025 An All-Atom Generative Model for Designing Protein Complexes Ruizhe Chen, Dongyu Xue, Xiangxin Zhou, Zaixiang Zheng, Xiangxiang Zeng, Quanquan Gu

ICML 2025 Demeaned Sparse: Efficient Anomaly Detection by Residual Estimate Yifan Fang, Yifei Fang, Ruizhe Chen, Haote Xu, Xinghao Ding, Yue Huang

NeurIPS 2025 FRN: Fractal-Based Recursive Spectral Reconstruction Network Ge Meng, Zhongnan Cai, Ruizhe Chen, Jingyan Tu, Yingying Wang, Yue Huang, Xinghao Ding

ICLR 2025 FairMT-Bench: Benchmarking Fairness for Multi-Turn Dialogue in Conversational LLMs Zhiting Fan, Ruizhe Chen, Tianxiang Hu, Zuozhu Liu

IJCAI 2025 Modality-Fair Preference Optimization for Trustworthy MLLM Alignment Songtao Jiang, Yan Zhang, Ruizhe Chen, Tianxiang Hu, Yeying Jin, Qinglin He, Yang Feng, Jian Wu, Zuozhu Liu

ICLR 2025 PAD: Personalized Alignment of LLMs at Decoding-Time Ruizhe Chen, Xiaotian Zhang, Meng Luo, Wenhao Chai, Zuozhu Liu

NeurIPS 2024 Antigen-Specific Antibody Design via Direct Energy-Based Preference Optimization Xiangxin Zhou, Dongyu Xue, Ruizhe Chen, Zaixiang Zheng, Liang Wang, Quanquan Gu

ICMLW 2024 Antigen-Specific Antibody Design via Direct Energy-Based Preference Optimization Xiangxin Zhou, Dongyu Xue, Ruizhe Chen, Zaixiang Zheng, Liang Wang, Quanquan Gu

ICLRW 2024 Large Language Model Bias Mitigation from the Perspective of Knowledge Editing Ruizhe Chen, Yichen Li, Zikai Xiao, Zuozhu Liu

AAAI 2024 Robustness-Guided Image Synthesis for Data-Free Quantization Jianhong Bai, Yuchen Yang, Huanpeng Chu, Hualiang Wang, Zuozhu Liu, Ruizhe Chen, Xiaoxuan He, Lianrui Mu, Chengfei Cai, Haoji Hu

NeurIPS 2023 Fast Model DeBias with Machine Unlearning Ruizhe Chen, Jianfei Yang, Huimin Xiong, Jianhong Bai, Tianxiang Hu, Jin Hao, Yang Feng, Joey Tianyi Zhou, Jian Wu, Zuozhu Liu

NeurIPS 2023 Towards Distribution-Agnostic Generalized Category Discovery Jianhong Bai, Zuozhu Liu, Hualiang Wang, Ruizhe Chen, Lianrui Mu, Xiaomeng Li, Joey Tianyi Zhou, Yang Feng, Jian Wu, Haoji Hu