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ORCIDRuizhe Chen
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j8]Shugao Chen, Bosheng Song, Ruizhe Chen, Lin Liu, Guifei Zhou, Sisi Yuan:
Semantic substructure guided multiple objective molecular generation with discrete diffusion probabilistic model. Neurocomputing 652: 131086 (2025)- [j7]Ruizhe Chen
, Chunyan Li, Longyue Wang, Mingquan Liu, Shugao Chen, Jiahao Yang, Xiangxiang Zeng:
Pretraining graph transformer for molecular representation with fusion of multimodal information. Inf. Fusion 115: 102784 (2025) - [j6]Ruizhe Chen, Jianfei Yang, Huimin Xiong, Ruiling Xu, Yang Feng, Jian Wu, Zuozhu Liu:
Cross-center Model Adaptive Tooth segmentation. Medical Image Anal. 101: 103443 (2025) - [j5]Chengting Yu, Fengzhao Zhang, Ruizhe Chen, Aili Wang, Zuozhu Liu, Shurun Tan, Er-Ping Li:
Decoupling Dark Knowledge via Block-Wise Logit Distillation for Feature-Level Alignment. IEEE Trans. Artif. Intell. 6(5): 1143-1155 (2025) - [j4]Zefeng Shi, Zijie Meng, Ruizhe Chen, Yang Feng, Zeyu Zhao, Jin Hao, Bing Fang, Zuozhu Liu, Youyi Zheng:
LETA: Tooth Alignment Prediction Based on Dual-branch Latent Encoding. IEEE Trans. Vis. Comput. Graph. 31(9): 4805-4820 (2025) - [j3]Haobin Cao, Guixiang Zhu, Huanhuan Chen, Zilong Su, Ruizhe Chen, Hongda An, Chen Wang:
Research on the impact of lithium battery ageing cycles on a data-driven lithium battery model. World Wide Web (WWW) 28(1): 3 (2025) - [c20]Xiaotian Zhang, Ruizhe Chen, Yang Feng, Zuozhu Liu:
Persona-judge: Personalized Alignment of Large Language Models via Token-level Self-judgment. ACL (Findings) 2025: 5037-5049 - [c19]Zhiting Fan, Ruizhe Chen, Zuozhu Liu:
BiasGuard: A Reasoning-Enhanced Bias Detection Tool for Large Language Models. ACL (Findings) 2025: 9753-9764 - [c18]Yichen Li, Zhiting Fan, Ruizhe Chen, Xiaotang Gai, Luqi Gong, Yan Zhang, Zuozhu Liu:
FairSteer: Inference Time Debiasing for LLMs with Dynamic Activation Steering. ACL (Findings) 2025: 11293-11312 - [c17]Ruizhe Chen, Wenhao Chai, Zhifei Yang, Xiaotian Zhang, Ziyang Wang, Tony Q. S. Quek, Joey Tianyi Zhou, Soujanya Poria, Zuozhu Liu:
DiffPO: Diffusion-styled Preference Optimization for Inference Time Alignment of Large Language Models. ACL (1) 2025: 18910-18925 - [c16]Ruizhe Chen, Xiaotian Zhang, Meng Luo, Wenhao Chai, Zuozhu Liu:
PAD: Personalized Alignment of LLMs at Decoding-time. ICLR 2025 - [c15]Zhiting Fan, Ruizhe Chen, Tianxiang Hu, Zuozhu Liu:
FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs. ICLR 2025 - [c14]Songtao Jiang, Yan Zhang, Ruizhe Chen, Tianxiang Hu, Yeying Jin, Qinglin He, Yang Feng, Jian Wu, Zuozhu Liu:
Modality-Fair Preference Optimization for Trustworthy MLLM Alignment. IJCAI 2025: 403-411 - [c13]Ruizhe Chen, Yichen Li, Jianfei Yang, Yang Feng, Joey Tianyi Zhou, Jian Wu, Zuozhu Liu:
Identifying and Mitigating Social Bias Knowledge in Language Models. NAACL (Findings) 2025: 651-672 - [i33]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, Yili Hong:
Performance Evaluation of Large Language Models in Statistical Programming. CoRR abs/2502.13117 (2025) - [i32]Zhenhua Liu, Lijun Li, Ruizhe Chen, Yuxian Jiang, Tong Zhu, Zhaochen Su, Wenliang Chen, Jing Shao:
Iterative Value Function Optimization for Guided Decoding. CoRR abs/2503.02368 (2025) - [i31]Ruizhe Chen, Wenhao Chai, Zhifei Yang, Xiaotian Zhang, Joey Tianyi Zhou, Tony Q. S. Quek, Soujanya Poria, Zuozhu Liu:
DiffPO: Diffusion-styled Preference Optimization for Efficient Inference-Time Alignment of Large Language Models. CoRR abs/2503.04240 (2025) - [i30]Zhaopeng Feng, Shaosheng Cao, Jiahan Ren, Jiayuan Su, Ruizhe Chen, Yan Zhang, Zhe Xu, Yao Hu, Jian Wu, Zuozhu Liu:
MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning. CoRR abs/2504.10160 (2025) - [i29]Xiaotian Zhang, Ruizhe Chen, Yang Feng, Zuozhu Liu:
Persona-judge: Personalized Alignment of Large Language Models via Token-level Self-judgment. CoRR abs/2504.12663 (2025) - [i28]Ruizhe Chen, Dongyu Xue, Xiangxin Zhou, Zaixiang Zheng, Xiangxiang Zeng, Quanquan Gu:
An All-Atom Generative Model for Designing Protein Complexes. CoRR abs/2504.13075 (2025) - [i27]Yichen Li, Zhiting Fan, Ruizhe Chen, Xiaotang Gai, Luqi Gong, Yan Zhang, Zuozhu Liu:
FairSteer: Inference Time Debiasing for LLMs with Dynamic Activation Steering. CoRR abs/2504.14492 (2025) - [i26]Zhiting Fan, Ruizhe Chen, Zuozhu Liu:
BiasGuard: A Reasoning-enhanced Bias Detection Tool For Large Language Models. CoRR abs/2504.21299 (2025) - [i25]Ge Meng, Zhongnan Cai, Ruizhe Chen, Jingyan Tu, Yingying Wang, Yue Huang, Xinghao Ding:
FRN: Fractal-Based Recursive Spectral Reconstruction Network. CoRR abs/2505.15439 (2025) - [i24]Xiaoqing Cheng, Ruizhe Chen, Hongying Zan, Yuxiang Jia, Min Peng:
BiasFilter: An Inference-Time Debiasing Framework for Large Language Models. CoRR abs/2505.23829 (2025) - [i23]Xiaotian Zhang, Yuan Wang, Zhaopeng Feng, Ruizhe Chen, Zhijie Zhou, Yan Zhang, Hongxia Xu, Jian Wu, Zuozhu Liu:
Med-U1: Incentivizing Unified Medical Reasoning in LLMs via Large-scale Reinforcement Learning. CoRR abs/2506.12307 (2025) - [i22]Songtao Jiang, Yuan Wang, Ruizhe Chen, Yan Zhang, Ruilin Luo, Bohan Lei, Sibo Song, Yang Feng, Jimeng Sun, Jian Wu, Zuozhu Liu:
CAPO: Reinforcing Consistent Reasoning in Medical Decision-Making. CoRR abs/2506.12849 (2025) - [i21]Ruizhe Chen, Zhiting Fan, Tianze Luo, Heqing Zou, Zhaopeng Feng, Guiyang Xie, Hansheng Zhang, Zhuochen Wang, Zuozhu Liu, Huaijian Zhang:
Datasets and Recipes for Video Temporal Grounding via Reinforcement Learning. CoRR abs/2507.18100 (2025) - [i20]Tianxiang Hu, Chenyi Zhou, Jiaxiang Liu, Jiongxin Wang, Ruizhe Chen, Haoxiang Xia, Gaoang Wang, Jian Wu, Zuozhu Liu:
GRIT: Graph-Regularized Logit Refinement for Zero-shot Cell Type Annotation. CoRR abs/2508.04747 (2025) - [i19]Yang Shi, Yuhao Dong, Yue Ding, Yuran Wang, Xuanyu Zhu, Sheng Zhou, Wenting Liu, Haochen Tian, Rundong Wang, Huanqian Wang, Zuyan Liu, Bohan Zeng, Ruizhe Chen, Qixun Wang, Zhuoran Zhang, Xinlong Chen, Chengzhuo Tong, Bozhou Li, Chaoyou Fu, Qiang Liu, Haotian Wang, Wenjing Yang, Yuanxing Zhang, Pengfei Wan, Yi-Fan Zhang, Ziwei Liu:
RealUnify: Do Unified Models Truly Benefit from Unification? A Comprehensive Benchmark. CoRR abs/2509.24897 (2025) - 2024
- [j2]Mingquan Liu, Chunyan Li, Ruizhe Chen, Dongsheng Cao, Xiangxiang Zeng:
Geometric deep learning for drug discovery. Expert Syst. Appl. 240: 122498 (2024) - [c12]Jianhong Bai, Yuchen Yang, Huanpeng Chu, Hualiang Wang, Zuozhu Liu, Ruizhe Chen, Xiaoxuan He, Lianrui Mu, Chengfei Cai, Haoji Hu:
Robustness-Guided Image Synthesis for Data-Free Quantization. AAAI 2024: 10971-10979 - [c11]Ruizhe Chen, Tianxiang Hu, Yang Feng, Zuozhu Liu:
Learnable Privacy Neurons Localization in Language Models. ACL (Short Papers) 2024: 256-264 - [c10]Zhiting Fan, Ruizhe Chen, Ruiling Xu, Zuozhu Liu:
BiasAlert: A Plug-and-play Tool for Social Bias Detection in LLMs. EMNLP 2024: 14778-14790 - [c9]Zhaopeng Feng, Ruizhe Chen, Yan Zhang, Zijie Meng, Zuozhu Liu:
Ladder: A Model-Agnostic Framework Boosting LLM-based Machine Translation to the Next Level. EMNLP 2024: 15377-15393 - [c8]Futian Zhu, Xin Chen, Bingbing Ji, Wenhao Yang, Ruizhe Chen:
Multi-gait Synthesis Based on Convolutional Neural Networks. ICIC (12) 2024: 42-53 - [c7]Wenhao Yang, Xin Chen, Bingbing Ji, Futian Zhu, Ruizhe Chen:
Deep Capsule Network Design Method for Gait Recognition. ICIC (5) 2024: 59-71 - [c6]Xiangxin Zhou, Dongyu Xue, Ruizhe Chen, Zaixiang Zheng, Liang Wang, Quanquan Gu:
Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization. NeurIPS 2024 - [i18]Xiangxin Zhou, Dongyu Xue, Ruizhe Chen, Zaixiang Zheng, Liang Wang, Quanquan Gu:
Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization. CoRR abs/2403.16576 (2024) - [i17]Ruizhe Chen, Yichen Li, Zikai Xiao, Zuozhu Liu:
Large Language Model Bias Mitigation from the Perspective of Knowledge Editing. CoRR abs/2405.09341 (2024) - [i16]Ruizhe Chen, Tianxiang Hu, Yang Feng, Zuozhu Liu:
Learnable Privacy Neurons Localization in Language Models. CoRR abs/2405.10989 (2024) - [i15]Hanjun Luo, Ziye Deng, Ruizhe Chen, Zuozhu Liu:
FAIntbench: A Holistic and Precise Benchmark for Bias Evaluation in Text-to-Image Models. CoRR abs/2405.17814 (2024) - [i14]Zhaopeng Feng, Ruizhe Chen, Yan Zhang, Zijie Meng, Zuozhu Liu:
Ladder: A Model-Agnostic Framework Boosting LLM-based Machine Translation to the Next Level. CoRR abs/2406.15741 (2024) - [i13]Zhiting Fan, Ruizhe Chen, Ruiling Xu, Zuozhu Liu:
BiasAlert: A Plug-and-play Tool for Social Bias Detection in LLMs. CoRR abs/2407.10241 (2024) - [i12]Hanjun Luo, Haoyu Huang, Ziye Deng, Xuecheng Liu, Ruizhe Chen, Zuozhu Liu:
BIGbench: A Unified Benchmark for Social Bias in Text-to-Image Generative Models Based on Multi-modal LLM. CoRR abs/2407.15240 (2024) - [i11]Hanjun Luo, Ziye Deng, Haoyu Huang, Xuecheng Liu, Ruizhe Chen, Zuozhu Liu:
VersusDebias: Universal Zero-Shot Debiasing for Text-to-Image Models via SLM-Based Prompt Engineering and Generative Adversary. CoRR abs/2407.19524 (2024) - [i10]Ruizhe Chen, Yichen Li, Jianfei Yang, Joey Tianyi Zhou, Zuozhu Liu:
Editable Fairness: Fine-Grained Bias Mitigation in Language Models. CoRR abs/2408.11843 (2024) - [i9]Hanjun Luo, Yingbin Jin, Xuecheng Liu, Tong Shang, Ruizhe Chen, Zuozhu Liu:
GEIC: Universal and Multilingual Named Entity Recognition with Large Language Models. CoRR abs/2409.11022 (2024) - [i8]Ruizhe Chen, Xiaotian Zhang, Meng Luo, Wenhao Chai, Zuozhu Liu:
PAD: Personalized Alignment at Decoding-Time. CoRR abs/2410.04070 (2024) - [i7]Songtao Jiang, Yan Zhang, Ruizhe Chen, Yeying Jin, Zuozhu Liu:
Modality-Fair Preference Optimization for Trustworthy MLLM Alignment. CoRR abs/2410.15334 (2024) - [i6]Zhiting Fan, Ruizhe Chen, Tianxiang Hu, Zuozhu Liu:
FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs. CoRR abs/2410.19317 (2024) - [i5]Chengting Yu, Fengzhao Zhang, Ruizhe Chen, Aili Wang, Zuozhu Liu, Shurun Tan, Er-Ping Li:
Decoupling Dark Knowledge via Block-wise Logit Distillation for Feature-level Alignment. CoRR abs/2411.01547 (2024) - 2023
- [c5]Yilun Zhao, Zhenting Qi, Linyong Nan, Boyu Mi, Yixin Liu, Weijin Zou, Simeng Han, Ruizhe Chen, Xiangru Tang, Yumo Xu, Dragomir Radev, Arman Cohan:
QTSumm: Query-Focused Summarization over Tabular Data. EMNLP 2023: 1157-1172 - [c4]Ruizhe Chen, Jianfei Yang, Yang Feng, Jin Hao, Zuozhu Liu:
Model Adaptive Tooth Segmentation. MIDL 2023: 775-798 - [c3]Jianhong Bai, Zuozhu Liu, Hualiang Wang, Ruizhe Chen, Lianrui Mu, Xiaomeng Li, Joey Tianyi Zhou, Yang Feng, Jian Wu, Haoji Hu:
Towards Distribution-Agnostic Generalized Category Discovery. NeurIPS 2023 - [c2]Ruizhe Chen, Jianfei Yang, Huimin Xiong, Jianhong Bai, Tianxiang Hu, Jin Hao, Yang Feng, Joey Tianyi Zhou, Jian Wu, Zuozhu Liu:
Fast Model DeBias with Machine Unlearning. NeurIPS 2023 - [i4]Jianhong Bai, Zuozhu Liu, Hualiang Wang, Ruizhe Chen, Lianrui Mu, Xiaomeng Li, Joey Tianyi Zhou, Yang Feng, Jian Wu, Haoji Hu:
Towards Distribution-Agnostic Generalized Category Discovery. CoRR abs/2310.01376 (2023) - [i3]Jianhong Bai, Yuchen Yang, Huanpeng Chu, Hualiang Wang, Zuozhu Liu, Ruizhe Chen, Xiaoxuan He, Lianrui Mu, Chengfei Cai, Haoji Hu:
Robustness-Guided Image Synthesis for Data-Free Quantization. CoRR abs/2310.03661 (2023) - [i2]Ruizhe Chen, Jianfei Yang, Huimin Xiong, Jianhong Bai, Tianxiang Hu, Jin Hao, Yang Feng, Joey Tianyi Zhou, Jian Wu, Zuozhu Liu:
Fast Model Debias with Machine Unlearning. CoRR abs/2310.12560 (2023) - 2022
- [c1]Ruizhe Chen, Zhenqi Fu, Yue Huang, En Cheng, Xinghao Ding:
A Robust Object Segmentation Network for UnderWater Scenes. ICASSP 2022: 2629-2633 - [i1]Jin Hao, Jiaxiang Liu, Jin Li, Wei Pan, Ruizhe Chen, Huimin Xiong, Kaiwei Sun, Hangzheng Lin, Wanlu Liu, Wanghui Ding, Jianfei Yang, Haoji Hu, Yueling Zhang, Yang Feng, Zeyu Zhao, Huikai Wu, Youyi Zheng, Bing Fang, Zuozhu Liu, Zhihe Zhao:
AI-enabled Automatic Multimodal Fusion of Cone-Beam CT and Intraoral Scans for Intelligent 3D Tooth-Bone Reconstruction and Clinical Applications. CoRR abs/2203.05784 (2022) - 2020
- [j1]Hesen Li, Hakan Demirtas, Ruizhe Chen:
RNGforGPD: An R Package for Generation of Univariate and Multivariate Generalized Poisson Data. R J. 12(2): 120 (2020)
Coauthor Index
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