Zhang, Chen

58 publications

TMLR 2026 The Landscape of Agentic Reinforcement Learning for LLMs: A Survey Guibin Zhang, Hejia Geng, Xiaohang Yu, Zhenfei Yin, Zaibin Zhang, Zelin Tan, Heng Zhou, Zhong-Zhi Li, Xiangyuan Xue, Yijiang Li, Yifan Zhou, Yang Chen, Chen Zhang, Yutao Fan, Zihu Wang, Songtao Huang, Francisco Piedrahita Velez, Yue Liao, Hongru Wang, Mengyue Yang, Heng Ji, Jun Wang, Shuicheng Yan, Philip Torr, Lei Bai

ICLRW 2025 A Virtual Reality-Integrated System for Behavioral Analysis in Neurological Decline Chen Zhang, Jiaxin Shi, Yanan Sui

AAAI 2025 Achieving Lightweight Super-Resolution for Real-Time Computer Graphics Yu Wen, Chen Zhang, Chenhao Xie, Xin Fu

AAAI 2025 Aligning Language Models Using Follow-up Likelihood as Reward Signal Chen Zhang, Dading Chong, Feng Jiang, Chengguang Tang, Anningzhe Gao, Guohua Tang, Haizhou Li

CoRL 2025 Bipedal Balance Control with Whole-Body Musculoskeletal Standing and Falling Simulations Chengtian Ma, Yunyue Wei, Chenhui Zuo, Chen Zhang, Yanan Sui

ICLR 2025 COFlowNet: Conservative Constraints on Flows Enable High-Quality Candidate Generation Yudong Zhang, Xuan Yu, Xu Wang, Zhaoyang Sun, Chen Zhang, Pengkun Wang, Yang Wang

NeurIPS 2025 ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive Xinhao Luo, Zihan Liu, Yangjie Zhou, Shihan Fang, Ziyu Huang, Yu Feng, Chen Zhang, Shixuan Sun, Zhenzhe Zheng, Jingwen Leng, Minyi Guo

NeurIPS 2025 Cypher-RI: Reinforcement Learning for Integrating Schema Selection into Cypher Generation Hanchen Su, Xuyuan Li, Yan Zhou, Zhuoyi Lu, Ziwei Chai, Haozheng Wang, Chen Zhang, Yang Yang

AAAI 2025 Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models Jie Ma, Zhitao Gao, Qi Chai, Wangchun Sun, Pinghui Wang, Hongbin Pei, Jing Tao, Lingyun Song, Jun Liu, Chen Zhang, Lizhen Cui

AAAI 2025 Exploring Intrinsic Alignments Within Text Corpus Zi Liang, Pinghui Wang, Ruofei Zhang, Haibo Hu, Shuo Zhang, Qingqing Ye, Nuo Xu, Yaxin Xiao, Chen Zhang, Lizhen Cui

NeurIPS 2025 FAME: Adaptive Functional Attention with Expert Routing for Function-on-Function Regression Yifei Gao, Yong Chen, Chen Zhang

CVPR 2025 High-Fidelity Lightweight Mesh Reconstruction from Point Clouds Chen Zhang, Wentao Wang, Ximeng Li, Xinyao Liao, Wanjuan Su, Wenbing Tao

WACV 2025 MVMD: A Multi-View Approach for Enhanced Mirror Detection Yidan Shen, Yu Wen, Chen Zhang, Xin Fu, Renjie Hu

IJCAI 2025 MutationGuard: A Graph and Temporal-Spatial Neural Method for Detecting Mutation Telecommunication Fraud Haitao Bai, Pinghui Wang, Ruofei Zhang, Ziyang Zhou, Juxiang Zeng, Yulou Su, Li Xing, Zhou Su, Chen Zhang, Lizhen Cui, Jun Hao, Wei Wang

ICLR 2025 N-ForGOT: Towards Not-Forgetting and Generalization of Open Temporal Graph Learning Liping Wang, Xujia Li, Jingshu Peng, Yue Wang, Chen Zhang, Yan Zhou, Lei Chen

ICML 2025 Nonparametric Teaching for Graph Property Learners Chen Zhang, Weixin Bu, Zeyi Ren, Zhengwu Liu, Yik Chung Wu, Ngai Wong

NeurIPS 2025 TraffiDent: A Dataset for Understanding the Interplay Between Traffic Dynamics and Incidents Xiaochuan Gou, Ziyue Li, Tian Lan, Junpeng Lin, Zhishuai Li, Bingyu Zhao, Chen Zhang, Di Wang, Xiangliang Zhang

AAAI 2024 A Comprehensive Analysis of the Effectiveness of Large Language Models as Automatic Dialogue Evaluators Chen Zhang, Luis Fernando D'Haro, Yiming Chen, Malu Zhang, Haizhou Li

ICML 2024 Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment Chen Zhang, Qiang He, Yuan Zhou, Elvis S. Liu, Hong Wang, Jian Zhao, Yang Wang

ICLR 2024 Deep Reinforcement Learning for Modelling Protein Complexes Ziqi Gao, Tao Feng, Jiaxuan You, Chenyi Zi, Yan Zhou, Chen Zhang, Jia Li

NeurIPS 2024 Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification Yihong Luo, Yuhan Chen, Siya Qiu, Yiwei Wang, Chen Zhang, Yan Zhou, Xiaochun Cao, Jing Tang

NeurIPS 2024 FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space Yiyang Guo, Ruizhe Li, Mude Hui, Hanzhong Guo, Chen Zhang, Chuangjian Cai, Le Wan, Shangfei Wang

AAAI 2024 IINet: Implicit Intra-Inter Information Fusion for Real-Time Stereo Matching Ximeng Li, Chen Zhang, Wanjuan Su, Wenbing Tao

CVPR 2024 Leveraging Frame Affinity for sRGB-to-RAW Video De-Rendering Chen Zhang, Wencheng Han, Yang Zhou, Jianbing Shen, Cheng-zhong Xu, Wentao Liu

ICLR 2024 Mega-TTS 2: Boosting Prompting Mechanisms for Zero-Shot Speech Synthesis Ziyue Jiang, Jinglin Liu, Yi Ren, Jinzheng He, Zhenhui Ye, Shengpeng Ji, Qian Yang, Chen Zhang, Pengfei Wei, Chunfeng Wang, Xiang Yin, Zejun Ma, Zhou Zhao

NeurIPS 2024 MimicTalk: Mimicking a Personalized and Expressive 3D Talking Face in Minutes Zhenhui Ye, Tianyun Zhong, Yi Ren, Ziyue Jiang, Jiawei Huang, Rongjie Huang, Jinglin Liu, Jinzheng He, Chen Zhang, Zehan Wang, Xize Chen, Xiang Yin, Zhou Zhao

AAAI 2024 NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching Hongbo Zhang, Guang Wang, Xu Wang, Zhengyang Zhou, Chen Zhang, Zheng Dong, Yang Wang

ICML 2024 Nonparametric Teaching of Implicit Neural Representations Chen Zhang, Steven Tin Sui Luo, Jason Chun Lok Li, Yik Chung Wu, Ngai Wong

ICLR 2024 Real3D-Portrait: One-Shot Realistic 3D Talking Portrait Synthesis Zhenhui Ye, Tianyun Zhong, Yi Ren, Jiaqi Yang, Weichuang Li, Jiawei Huang, Ziyue Jiang, Jinzheng He, Rongjie Huang, Jinglin Liu, Chen Zhang, Xiang Yin, Zejun Ma, Zhou Zhao

ICLR 2023 Bag of Tricks for Unsupervised Text-to-Speech Yi Ren, Chen Zhang, Shuicheng Yan

ICCV 2023 DMNet: Delaunay Meshing Network for 3D Shape Representation Chen Zhang, Ganzhangqin Yuan, Wenbing Tao

CVPR 2023 Exploiting Completeness and Uncertainty of Pseudo Labels for Weakly Supervised Video Anomaly Detection Chen Zhang, Guorong Li, Yuankai Qi, Shuhui Wang, Laiyun Qing, Qingming Huang, Ming-Hsuan Yang

ICML 2023 Nonparametric Iterative Machine Teaching Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor Tsang, James Kwok

NeurIPS 2023 Nonparametric Teaching for Multiple Learners Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok

AISTATS 2023 Spread Flows for Manifold Modelling Mingtian Zhang, Yitong Sun, Chen Zhang, Steven Mcdonagh

AAAI 2023 VideoDubber: Machine Translation with Speech-Aware Length Control for Video Dubbing Yihan Wu, Junliang Guo, Xu Tan, Chen Zhang, Bohan Li, Ruihua Song, Lei He, Sheng Zhao, Arul Menezes, Jiang Bian

IJCAI 2022 GRELEN: Multivariate Time Series Anomaly Detection from the Perspective of Graph Relational Learning Weiqi Zhang, Chen Zhang, Fugee Tsung

AAAI 2022 MDD-Eval: Self-Training on Augmented Data for Multi-Domain Dialogue Evaluation Chen Zhang, Luis Fernando D'Haro, Thomas Friedrichs, Haizhou Li

ICLR 2022 SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo

CVPR 2022 Split Hierarchical Variational Compression Tom Ryder, Chen Zhang, Ning Kang, Shifeng Zhang

NeurIPS 2022 Towards Effective Multi-Modal Interchanges in Zero-Resource Sounding Object Localization Yang Zhao, Chen Zhang, Haifeng Huang, Haoyuan Li, Zhou Zhao

AAAI 2021 CARE: Commonsense-Aware Emotional Response Generation with Latent Concepts Peixiang Zhong, Di Wang, Pengfei Li, Chen Zhang, Hao Wang, Chunyan Miao

CVPRW 2021 CompConv: A Compact Convolution Module for Efficient Feature Learning Chen Zhang, Yinghao Xu, Yujun Shen

ECML-PKDD 2021 Holistic Prediction for Public Transport Crowd Flows: A Spatio Dynamic Graph Network Approach Bingjie He, Shukai Li, Chen Zhang, Baihua Zheng, Fugee Tsung

IJCAI 2021 Interactive Video Acquisition and Learning System for Motor Assessment of Parkinson's Disease Yunyue Wei, Bingquan Zhu, Chen Hou, Chen Zhang, Yanan Sui

NeurIPS 2021 OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression Chen Zhang, Shifeng Zhang, Fabio Maria Carlucci, Zhenguo Li

AAAI 2021 UWSpeech: Speech to Speech Translation for Unwritten Languages Chen Zhang, Xu Tan, Yi Ren, Tao Qin, Kejun Zhang, Tie-Yan Liu

CVPR 2021 iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression Shifeng Zhang, Chen Zhang, Ning Kang, Zhenguo Li

NeurIPSW 2020 Quantifying Sources of Uncertainty in Deep Learning-Based Image Reconstruction Riccardo Barbano, Zeljko Kereta, Chen Zhang, Andreas Hauptmann, Simon Arridge, Bangti Jin

IJCAI 2020 Task-Level Curriculum Learning for Non-Autoregressive Neural Machine Translation Jinglin Liu, Yi Ren, Xu Tan, Chen Zhang, Tao Qin, Zhou Zhao, Tie-Yan Liu

AAAI 2020 Tensor Completion for Weakly-Dependent Data on Graph for Metro Passenger Flow Prediction Ziyue Li, Nurettin Dorukhan Sergin, Hao Yan, Chen Zhang, Fugee Tsung

AAAI 2019 Balanced Sparsity for Efficient DNN Inference on GPU Zhuliang Yao, Shijie Cao, Wencong Xiao, Chen Zhang, Lanshun Nie

IJCAI 2019 Discriminative and Correlative Partial Multi-Label Learning Haobo Wang, Weiwei Liu, Yang Zhao, Chen Zhang, Tianlei Hu, Gang Chen

AAAI 2019 Partially Observable Multi-Sensor Sequential Change Detection: A Combinatorial Multi-Armed Bandit Approach Chen Zhang, Steven C. H. Hoi

AAAI 2017 Fredholm Multiple Kernel Learning for Semi-Supervised Domain Adaptation Wei Wang, Hao Wang, Chen Zhang, Yang Gao

AAAI 2015 Transfer Feature Representation via Multiple Kernel Learning Wei Wang, Hao Wang, Chen Zhang, Fanjiang Xu

AAAI 2014 Cross-Domain Metric Learning Based on Information Theory Hao Wang, Wei Wang, Chen Zhang, Fanjiang Xu

AAAI 2010 News Recommendation in Forum-Based Social Media Jia Wang, Qing Li, Yuanzhu Peter Chen, Jiafen Liu, Chen Zhang, Zhangxi Lin