RNGforGPD: An R Package for Generation of Univariate and Multivariate Generalized Poisson Data. - Hesen Li; Hakan Demirtas; Ruizhe Chen (R J., 2020)

A Robust Object Segmentation Network for UnderWater Scenes. - Ruizhe Chen; Zhenqi Fu; Yue Huang 001; En Cheng; Xinghao Ding (ICASSP, 2022)

AI-enabled Automatic Multimodal Fusion of Cone-Beam CT and Intraoral Scans for Intelligent 3D Tooth-Bone Reconstruction and Clinical Applications. - Jin Hao; Jiaxiang Liu; Jin Li; Wei Pan 010; Ruizhe Chen; Huimin Xiong; Kaiwei Sun; Hangzheng Lin; Wanlu Liu; Wanghui Ding; Jianfei Yang; Haoji Hu; et al. (CoRR, 2022)

QTSumm: Query-Focused Summarization over Tabular Data. - Yilun Zhao 001; Zhenting Qi; Linyong Nan; Boyu Mi; Yixin Liu 003; Weijin Zou; Simeng Han; Ruizhe Chen; Xiangru Tang; Yumo Xu; Dragomir Radev; Arman Cohan (EMNLP, 2023)

Model Adaptive Tooth Segmentation. - Ruizhe Chen; Jianfei Yang; Yang Feng 011; Jin Hao; Zuozhu Liu (MIDL, 2023)

Towards Distribution-Agnostic Generalized Category Discovery. - Jianhong Bai; Zuozhu Liu; Hualiang Wang; Ruizhe Chen; Lianrui Mu; Xiaomeng Li 001; Joey Tianyi Zhou; Yang Feng 011; Jian Wu 001; Haoji Hu (NeurIPS, 2023)

Fast Model DeBias with Machine Unlearning. - Ruizhe Chen; Jianfei Yang; Huimin Xiong; Jianhong Bai; Tianxiang Hu; Jin Hao; Yang Feng 011; Joey Tianyi Zhou; Jian Wu 001; Zuozhu Liu (NeurIPS, 2023)

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 (AAAI, 2024)

Learnable Privacy Neurons Localization in Language Models. - Ruizhe Chen; Tianxiang Hu; Yang Feng 011; Zuozhu Liu (ACL (Short Papers), 2024)

BiasAlert: A Plug-and-play Tool for Social Bias Detection in LLMs. - Zhiting Fan; Ruizhe Chen; Ruiling Xu; Zuozhu Liu (EMNLP, 2024)

Ladder: A Model-Agnostic Framework Boosting LLM-based Machine Translation to the Next Level. - Zhaopeng Feng; Ruizhe Chen; Yan Zhang 004; Zijie Meng; Zuozhu Liu (EMNLP, 2024)

Deep Capsule Network Design Method for Gait Recognition. - Wenhao Yang; Xin Chen; Bingbing Ji; Futian Zhu; Ruizhe Chen (ICIC (5), 2024)

Multi-gait Synthesis Based on Convolutional Neural Networks. - Futian Zhu; Xin Chen; Bingbing Ji; Wenhao Yang; Ruizhe Chen (ICIC (12), 2024)

Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization. - Xiangxin Zhou; Dongyu Xue; Ruizhe Chen; Zaixiang Zheng; Liang Wang 001; Quanquan Gu (NeurIPS, 2024)

Large Language Model Bias Mitigation from the Perspective of Knowledge Editing. - Ruizhe Chen; Yichen Li; Zikai Xiao; Zuozhu Liu (CoRR, 2024)

FAIntbench: A Holistic and Precise Benchmark for Bias Evaluation in Text-to-Image Models. - Hanjun Luo; Ziye Deng; Ruizhe Chen; Zuozhu Liu (CoRR, 2024)

BIGbench: A Unified Benchmark for Social Bias in Text-to-Image Generative Models Based on Multi-modal LLM. - Hanjun Luo; Haoyu Huang; Ziye Deng; Xuecheng Liu; Ruizhe Chen; Zuozhu Liu (CoRR, 2024)

VersusDebias: Universal Zero-Shot Debiasing for Text-to-Image Models via SLM-Based Prompt Engineering and Generative Adversary. - Hanjun Luo; Ziye Deng; Haoyu Huang; Xuecheng Liu; Ruizhe Chen; Zuozhu Liu (CoRR, 2024)

Editable Fairness: Fine-Grained Bias Mitigation in Language Models. - Ruizhe Chen; Yichen Li; Jianfei Yang; Joey Tianyi Zhou; Zuozhu Liu (CoRR, 2024)

GEIC: Universal and Multilingual Named Entity Recognition with Large Language Models. - Hanjun Luo; Yingbin Jin; Xuecheng Liu; Tong Shang; Ruizhe Chen; Zuozhu Liu (CoRR, 2024)

PAD: Personalized Alignment at Decoding-Time. - Ruizhe Chen; Xiaotian Zhang; Meng Luo; Wenhao Chai; Zuozhu Liu (CoRR, 2024)

Modality-Fair Preference Optimization for Trustworthy MLLM Alignment. - Songtao Jiang; Yan Zhang 004; Ruizhe Chen; Yeying Jin; Zuozhu Liu (CoRR, 2024)

Geometric deep learning for drug discovery. - Mingquan Liu; Chunyan Li 002; Ruizhe Chen; Dongsheng Cao 001; Xiangxiang Zeng (Expert Syst. Appl., 2024)

DiffPO: Diffusion-styled Preference Optimization for Inference Time Alignment of Large Language Models. - Ruizhe Chen; Wenhao Chai; Zhifei Yang 004; Xiaotian Zhang; Ziyang Wang; Tony Q. S. Quek; Joey Tianyi Zhou; Soujanya Poria; Zuozhu Liu (ACL (1), 2025)

BiasGuard: A Reasoning-Enhanced Bias Detection Tool for Large Language Models. - Zhiting Fan; Ruizhe Chen; Zuozhu Liu (ACL (Findings), 2025)

FairSteer: Inference Time Debiasing for LLMs with Dynamic Activation Steering. - Yichen Li; Zhiting Fan; Ruizhe Chen; Xiaotang Gai; Luqi Gong; Yan Zhang 004; Zuozhu Liu (ACL (Findings), 2025)

Persona-judge: Personalized Alignment of Large Language Models via Token-level Self-judgment. - Xiaotian Zhang; Ruizhe Chen; Yang Feng 011; Zuozhu Liu (ACL (Findings), 2025)

PAD: Personalized Alignment of LLMs at Decoding-time. - Ruizhe Chen; Xiaotian Zhang; Meng Luo; Wenhao Chai; Zuozhu Liu (ICLR, 2025)

FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs. - Zhiting Fan; Ruizhe Chen; Tianxiang Hu; Zuozhu Liu (ICLR, 2025)

Identifying and Mitigating Social Bias Knowledge in Language Models. - Ruizhe Chen; Yichen Li; Jianfei Yang; Yang Feng 011; Joey Tianyi Zhou; Jian Wu 001; Zuozhu Liu (NAACL (Findings), 2025)

Semantic substructure guided multiple objective molecular generation with discrete diffusion probabilistic model. - Shugao Chen; Bosheng Song; Ruizhe Chen; Lin Liu; Guifei Zhou; Sisi Yuan (Neurocomputing, 2025)

Pretraining graph transformer for molecular representation with fusion of multimodal information. - Ruizhe Chen; Chunyan Li 002; Longyue Wang; Mingquan Liu; Shugao Chen; Jiahao Yang; Xiangxiang Zeng (Inf. Fusion, 2025)

Cross-center Model Adaptive Tooth segmentation. - Ruizhe Chen; Jianfei Yang; Huimin Xiong; Ruiling Xu; Yang Feng 011; Jian Wu 001; Zuozhu Liu (Medical Image Anal., 2025)

Research on the impact of lithium battery ageing cycles on a data-driven lithium battery model. - Haobin Cao; Guixiang Zhu; Huanhuan Chen; Zilong Su; Ruizhe Chen; Hongda An; Chen Wang (World Wide Web (WWW), 2025)

Performance Evaluation of Large Language Models in Statistical Programming. - Xinyi Song; Kexin Xie; Lina Lee; Ruizhe Chen; Jared M. Clark; Hao He; Haoran He; Jie Min; Xinlei Zhang; Simin Zheng; Zhiyang Zhang; Xinwei Deng; et al. (CoRR, 2025)

Iterative Value Function Optimization for Guided Decoding. - Zhenhua Liu; Lijun Li; Ruizhe Chen; Yuxian Jiang; Tong Zhu 002; Zhaochen Su; Wenliang Chen; Jing Shao (CoRR, 2025)

DiffPO: Diffusion-styled Preference Optimization for Efficient Inference-Time Alignment of Large Language Models. - Ruizhe Chen; Wenhao Chai; Zhifei Yang 004; Xiaotian Zhang; Joey Tianyi Zhou; Tony Q. S. Quek; Soujanya Poria; Zuozhu Liu (CoRR, 2025)

MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning. - Zhaopeng Feng; Shaosheng Cao; Jiahan Ren; Jiayuan Su; Ruizhe Chen; Yan Zhang 004; Zhe Xu; Yao Hu; Jian Wu 001; Zuozhu Liu (CoRR, 2025)

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

FairSteer: Inference Time Debiasing for LLMs with Dynamic Activation Steering. - Yichen Li; Zhiting Fan; Ruizhe Chen; Xiaotang Gai; Luqi Gong; Yan Zhang; Zuozhu Liu (CoRR, 2025)

FRN: Fractal-Based Recursive Spectral Reconstruction Network. - Ge Meng; Zhongnan Cai; Ruizhe Chen; Jingyan Tu; Yingying Wang 005; Yue Huang 001; Xinghao Ding (CoRR, 2025)

BiasFilter: An Inference-Time Debiasing Framework for Large Language Models. - Xiaoqing Cheng; Ruizhe Chen; Hongying Zan; Yuxiang Jia; Min Peng (CoRR, 2025)

Decoupling Dark Knowledge via Block-Wise Logit Distillation for Feature-Level Alignment. - Chengting Yu; Fengzhao Zhang; Ruizhe Chen; Aili Wang 002; Zuozhu Liu; Shurun Tan; Er-Ping Li 001 (IEEE Trans. Artif. Intell., 2025)

Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning. - Xiaotian Zhang; Yuan Wang; Zhaopeng Feng; Ruizhe Chen; Zhijie Zhou; Yan Zhang; Hongxia Xu; Jian Wu 001; Zuozhu Liu (CoRR, 2025)

CAPO: Reinforcing Consistent Reasoning in Medical Decision-Making. - Songtao Jiang; Yuan Wang; Ruizhe Chen; Yan Zhang; Ruilin Luo; Bohan Lei; Sibo Song; Yang Feng 011; Jimeng Sun 001; Jian Wu 001; Zuozhu Liu (CoRR, 2025)

Datasets and Recipes for Video Temporal Grounding via Reinforcement Learning. - Ruizhe Chen; Zhiting Fan; Tianze Luo; Heqing Zou; Zhaopeng Feng; Guiyang Xie; Hansheng Zhang; Zhuochen Wang; Zuozhu Liu; Huaijian Zhang (CoRR, 2025)

LETA: Tooth Alignment Prediction Based on Dual-branch Latent Encoding. - Zefeng Shi; Zijie Meng; Ruizhe Chen; Yang Feng 011; Zeyu Zhao; Jin Hao; Bing Fang; Zuozhu Liu; Youyi Zheng (IEEE Trans. Vis. Comput. Graph., 2025)