Chen, Xu

67 publications

CVPRW 2025 An LLM-Enabled Multi-Agent Autonomous Mechatronics Design Framework Zeyu Wang, Frank Po Wen Lo, Qian Chen, Yongqi Zhang, Chen Lin, Xu Chen, Zhenhua Yu, Alexander J. Thompson, Eric M. Yeatman, Benny P. L. Lo

NeurIPS 2025 CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension Rui Li, Zeyu Zhang, Xiaohe Bo, Zihang Tian, Xu Chen, Quanyu Dai, Zhenhua Dong, Ruiming Tang

ICCV 2025 Competitive Distillation: A Simple Learning Strategy for Improving Visual Classification Daqian Shi, Xiaolei Diao, Xu Chen, Cédric M John

ICCV 2025 Coupling the Generator with Teacher for Effective Data-Free Knowledge Distillation Xu Chen, Yang Li, Yahong Han, Guangquan Xu, Jialie Shen

NeurIPS 2025 Distributional LLM-as-a-Judge Luyu Chen, Zeyu Zhang, Haoran Tan, Quanyu Dai, Hao Yang, Zhenhua Dong, Xu Chen

NeurIPS 2025 Dual Data Alignment Makes AI-Generated Image Detector Easier Generalizable Ruoxin Chen, Junwei Xi, Zhiyuan Yan, Ke-Yue Zhang, Shuang Wu, Jingyi Xie, Xu Chen, Lei Xu, Isabel Guan, Taiping Yao, Shouhong Ding

NeurIPS 2025 Iterative Missing Data Imputation with Model Form Adaptation and Non-Missing Feature Supervision Hao Wang, Zhengnan Li, Zhichao Chen, Xu Chen, Shuting He, Guangyi Liu, Haoxuan Li, Zhouchen Lin

NeurIPS 2025 MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework Qirui Mi, Mengyue Yang, Xiangning Yu, Zhiyu Zhao, Cheng Deng, Bo An, Haifeng Zhang, Xu Chen, Jun Wang

ICLR 2025 MMRole: A Comprehensive Framework for Developing and Evaluating Multimodal Role-Playing Agents Yanqi Dai, Huanran Hu, Lei Wang, Shengjie Jin, Xu Chen, Zhiwu Lu

NeurIPS 2025 MemSim: A Bayesian Simulator for Evaluating Memory of LLM-Based Personal Assistants Zeyu Zhang, Quanyu Dai, Luyu Chen, Zeren Jiang, Rui Li, Jieming Zhu, Xu Chen, Yi Xie, Zhenhua Dong, Ji-Rong Wen

ICML 2025 MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance Zhixuan Chen, Xing Hu, Dawei Yang, Zukang Xu, Xu Chen, Zhihang Yuan, Sifan Zhou, Jiangyong Yu

ICLR 2025 Optimal Transport for Time Series Imputation Hao Wang, Zhengnan Li, Haoxuan Li, Xu Chen, Mingming Gong, BinChen, Zhichao Chen

CVPR 2025 SVFR: A Unified Framework for Generalized Video Face Restoration Zhiyao Wang, Xu Chen, Chengming Xu, Junwei Zhu, Xiaobin Hu, Jiangning Zhang, Chengjie Wang, Yuqi Liu, Yiyi Zhou, Rongrong Ji

ICLR 2025 Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation Chenyu Zhang, Xu Chen, Xuan Di

NeurIPS 2025 Time-O1: Time-Series Forecasting Needs Transformed Label Alignment Hao Wang, Licheng Pan, Zhichao Chen, Xu Chen, Qingyang Dai, Lei Wang, Haoxuan Li, Zhouchen Lin

ICML 2025 Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning Hao Wang, Zhichao Chen, Haotian Wang, Yanchao Tan, Licheng Pan, Tianqiao Liu, Xu Chen, Haoxuan Li, Zhouchen Lin

ICLR 2025 Uncertainty and Influence Aware Reward Model Refinement for Reinforcement Learning from Human Feedback Zexu Sun, Yiju Guo, Yankai Lin, Xu Chen, Qi Qi, Xing Tang, Xiuqiang He, Ji-Rong Wen

CVPR 2025 Unified Reconstruction of Static and Dynamic Scenes from Events Qiyao Gao, Peiqi Duan, Hanyue Lou, Minggui Teng, Ziqi Cai, Xu Chen, Boxin Shi

AAAI 2024 A Diffusion-Based Framework for Multi-Class Anomaly Detection Haoyang He, Jiangning Zhang, Hongxu Chen, Xuhai Chen, Zhishan Li, Xu Chen, Yabiao Wang, Chengjie Wang, Lei Xie

AAAI 2024 AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model Teng Hu, Jiangning Zhang, Ran Yi, Yuzhen Du, Xu Chen, Liang Liu, Yabiao Wang, Chengjie Wang

ICLR 2024 Debiased Collaborative Filtering with Kernel-Based Causal Balancing Haoxuan Li, Chunyuan Zheng, Yanghao Xiao, Peng Wu, Zhi Geng, Xu Chen, Peng Cui

AAAI 2024 Efficient Online Crowdsourcing with Complex Annotations Reshef Meir, Viet-An Nguyen, Xu Chen, Jagdish Ramakrishnan, Udi Weinsberg

ECCV 2024 Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control Yue Han, Junwei Zhu, Keke He, Xu Chen, Yanhao Ge, Wei Li, Xiangtai Li, Jiangning Zhang, Chengjie Wang, Yong Liu

ICML 2024 Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization Rui Li, Chaozhuo Li, Yanming Shen, Zeyu Zhang, Xu Chen

ICML 2024 Graphon Mean Field Games with a Representative Player: Analysis and Learning Algorithm Fuzhong Zhou, Chenyu Zhang, Xu Chen, Xuan Di

CVPR 2024 HOLD: Category-Agnostic 3D Reconstruction of Interacting Hands and Objects from Video Zicong Fan, Maria Parelli, Maria Eleni Kadoglou, Xu Chen, Muhammed Kocabas, Michael J. Black, Otmar Hilliges

ICML 2024 Multiply Robust Estimation for Local Distribution Shifts with Multiple Domains Steven Wilkins-Reeves, Xu Chen, Qi Ma, Christine Agarwal, Aude Hofleitner

NeurIPS 2024 Reflective Multi-Agent Collaboration Based on Large Language Models Xiaohe Bo, Zeyu Zhang, Quanyu Dai, Xueyang Feng, Lei Wang, Rui Li, Xu Chen, Ji-Rong Wen

ICML 2024 Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering Haoxuan Li, Chunyuan Zheng, Shuyi Wang, Kunhan Wu, Eric Wang, Peng Wu, Zhi Geng, Xu Chen, Xiao-Hua Zhou

AAAI 2024 Rethinking Reverse Distillation for Multi-Modal Anomaly Detection Zhihao Gu, Jiangning Zhang, Liang Liu, Xu Chen, Jinlong Peng, Zhenye Gan, Guannan Jiang, Annan Shu, Yabiao Wang, Lizhuang Ma

AAAI 2024 Text-to-Image Generation for Abstract Concepts Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang

AAAI 2024 Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang

ECCV 2024 Turbo: Informativity-Driven Acceleration Plug-in for Vision-Language Large Models Chen Ju, Haicheng Wang, Haozhe Cheng, Xu Chen, Zhonghua Zhai, Weilin Huang, Jinsong Lan, Shuai Xiao, Bo Zheng

AAAI 2024 Would You like Your Data to Be Trained? a User Controllable Recommendation Framework Lei Wang, Xu Chen, Zhenhua Dong, Quanyu Dai

ICCV 2023 AG3D: Learning to Generate 3D Avatars from 2D Image Collections Zijian Dong, Xu Chen, Jinlong Yang, Michael J. Black, Otmar Hilliges, Andreas Geiger

NeurIPS 2023 Bayesian Active Causal Discovery with Multi-Fidelity Experiments Zeyu Zhang, Chaozhuo Li, Xu Chen, Xing Xie

TMLR 2023 Contrastive Attraction and Contrastive Repulsion for Representation Learning Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor Tsang, Jingren Zhou, Mingyuan Zhou

CVPR 2023 InstantAvatar: Learning Avatars from Monocular Video in 60 Seconds Tianjian Jiang, Xu Chen, Jie Song, Otmar Hilliges

NeurIPS 2023 Offline Imitation Learning with Variational Counterfactual Reasoning Zexu Sun, Bowei He, Jinxin Liu, Xu Chen, Chen Ma, Shuai Zhang

ICLR 2023 Out-of-Distribution Detection Based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy Jinsong Zhang, Qiang Fu, Xu Chen, Lun Du, Zelin Li, Gang Wang, Xiaoguang Liu, Shi Han, Dongmei Zhang

ICCV 2023 Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption Teng Hu, Jiangning Zhang, Liang Liu, Ran Yi, Siqi Kou, Haokun Zhu, Xu Chen, Yabiao Wang, Chengjie Wang, Lizhuang Ma

ICMLW 2023 Physics-Informed Neural Operator for Coupled Forward-Backward Partial Differential Equations Xu Chen, Yongjie Fu, Shuo Liu, Xuan Di

NeurIPS 2023 REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Xin Zhao, Ji-Rong Wen

ICCV 2023 Remembering Normality: Memory-Guided Knowledge Distillation for Unsupervised Anomaly Detection Zhihao Gu, Liang Liu, Xu Chen, Ran Yi, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Annan Shu, Guannan Jiang, Lizhuang Ma

CVPR 2023 Vid2Avatar: 3D Avatar Reconstruction from Videos in the Wild via Self-Supervised Scene Decomposition Chen Guo, Tianjian Jiang, Xu Chen, Jie Song, Otmar Hilliges

IJCAI 2022 FastRE: Towards Fast Relation Extraction with Convolutional Encoder and Improved Cascade Binary Tagging Framework Guozheng Li, Xu Chen, Peng Wang, Jiafeng Xie, Qiqing Luo

CVPR 2022 I M Avatar: Implicit Morphable Head Avatars from Videos Yufeng Zheng, Victoria Fernández Abrevaya, Marcel C. Bühler, Xu Chen, Michael J. Black, Otmar Hilliges

AAAI 2022 Learning to Identify Top Elo Ratings: A Dueling Bandits Approach Xue Yan, Yali Du, Binxin Ru, Jun Wang, Haifeng Zhang, Xu Chen

NeurIPS 2022 Neuron with Steady Response Leads to Better Generalization Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang

CVPR 2022 PINA: Learning a Personalized Implicit Neural Avatar from a Single RGB-D Video Sequence Zijian Dong, Chen Guo, Jie Song, Xu Chen, Andreas Geiger, Otmar Hilliges

CVPR 2022 gDNA: Towards Generative Detailed Neural Avatars Xu Chen, Tianjian Jiang, Jie Song, Jinlong Yang, Michael J. Black, Andreas Geiger, Otmar Hilliges

ICML 2021 Estimating $α$-Rank from a Few Entries with Low Rank Matrix Completion Yali Du, Xue Yan, Xu Chen, Jun Wang, Haifeng Zhang

IJCAI 2021 HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping Yuhan Wang, Xu Chen, Junwei Zhu, Wenqing Chu, Ying Tai, Chengjie Wang, Jilin Li, Yongjian Wu, Feiyue Huang, Rongrong Ji

ICCV 2021 SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes Xu Chen, Yufeng Zheng, Michael J. Black, Otmar Hilliges, Andreas Geiger

ICCV 2021 Shape-Aware Multi-Person Pose Estimation from Multi-View Images Zijian Dong, Jie Song, Xu Chen, Chen Guo, Otmar Hilliges

IJCAI 2021 TrafficStream: A Streaming Traffic Flow Forecasting Framework Based on Graph Neural Networks and Continual Learning Xu Chen, Junshan Wang, Kunqing Xie

ICML 2021 Unified Robust Semi-Supervised Variational Autoencoder Xu Chen

AAAI 2020 AutoDAL: Distributed Active Learning with Automatic Hyperparameter Selection Xu Chen, Brett Wujek

ECCV 2020 Category Level Object Pose Estimation via Neural Analysis-by-Synthesis Xu Chen, Zijian Dong, Jie Song, Andreas Geiger, Otmar Hilliges

ECCV 2020 Human Body Model Fitting by Learned Gradient Descent Jie Song, Xu Chen, Otmar Hilliges

AAAI 2019 Dynamic Explainable Recommendation Based on Neural Attentive Models Xu Chen, Yongfeng Zhang, Zheng Qin

CVPRW 2019 Unpaired Pose Guided Human Image Generation Xu Chen, Jie Song, Otmar Hilliges

AISTATS 2018 Benefits from Superposed Hawkes Processes Hongteng Xu, Dixin Luo, Xu Chen, Lawrence Carin

ECCV 2018 Fictitious GAN: Training GANs with Historical Models Hao Ge, Yin Xia, Xu Chen, Randall Berry, Ying Wu

ICLR 2018 Training Generative Adversarial Networks via Primal-Dual Subgradient Methods: A Lagrangian Perspective on GAN Xu Chen, Jiang Wang, Hao Ge

NeurIPS 2014 Unsupervised Deep Haar Scattering on Graphs Xu Chen, Xiuyuan Cheng, Stephane Mallat

CVPR 2008 Robust Null Space Representation and Sampling for View-Invariant Motion Trajectory Analysis Xu Chen, Dan Schonfeld, Ashfaq A. Khokhar