Xu, Chen

38 publications

ICLR 2025 Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation Chen Xu, Yuxin Li, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua

UAI 2025 Collapsing Sequence-Level Data-Policy Coverage via Poisoning Attack in Offline Reinforcement Learning Xue Zhou, Dapeng Man, Chen Xu, Fanyi Zeng, Tao Liu, Huan Wang, Shucheng He, Chaoyang Gao, Wu Yang

AISTATS 2025 Computing High-Dimensional Optimal Transport by Flow Neural Networks Chen Xu, Xiuyuan Cheng, Yao Xie

WACV 2025 Discriminative Score Suppression for Weakly Supervised Video Anomaly Detection Chen Xu, Chunguo Li, Hongjie Xing

ICML 2025 Global Optimization with a Power-Transformed Objective and Gaussian Smoothing Chen Xu

ICLR 2025 Kernel-Based Optimally Weighted Conformal Time-Series Prediction Jonghyeok Lee, Chen Xu, Yao Xie

ICML 2025 RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization Chen Xu, Yuxuan Yue, Zukang Xu, Xing Hu, Jiangyong Yu, Zhixuan Chen, Sifan Zhou, Zhihang Yuan, Dawei Yang

ICCV 2025 Triad: Empowering LMM-Based Anomaly Detection with Expert-Guided Region-of-Interest Tokenizer and Manufacturing Process Yuanze Li, Shihao Yuan, Haolin Wang, Qizhang Li, Ming Liu, Chen Xu, Guangming Shi, Wangmeng Zuo

ECCV 2024 Accelerating Image Generation with Sub-Path Linear Approximation Model Chen Xu, Tianhui Song, Weixin Feng, Xubin Li, Tiezheng Ge, Bo Zheng, Limin Wang

AAAI 2024 Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning Tao Liu, Yuhang Zhang, Zhu Feng, Zhiqin Yang, Chen Xu, Dapeng Man, Wu Yang

ICML 2024 Conformal Prediction for Multi-Dimensional Time Series by Ellipsoidal Sets Chen Xu, Hanyang Jiang, Yao Xie

NeurIPS 2024 CriticEval: Evaluating Large-Scale Language Model as Critic Tian Lan, Wenwei Zhang, Chen Xu, Heyan Huang, Dahua Lin, Kai Chen, Xian-Ling Mao

ICLR 2024 PolyVoice: Language Models for Speech to Speech Translation Qian qian Dong, Zhiying Huang, Qiao Tian, Chen Xu, Tom Ko, Yunlong Zhao, Siyuan Feng, Tang Li, Kexin Wang, Xuxin Cheng, Fengpeng Yue, Ye Bai, Xi Chen, Lu Lu, Zejun Ma, Yuping Wang, Mingxuan Wang, Yuxuan Wang

IJCAI 2024 Recent Advances in End-to-End Simultaneous Speech Translation Xiaoqian Liu, Guoqiang Hu, Yangfan Du, Erfeng He, Yingfeng Luo, Chen Xu, Tong Xiao, Jingbo Zhu

NeurIPS 2024 Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise Zhenning Shi, Haoshuai Zheng, Chen Xu, Changsheng Dong, Bin Pan, Xueshuo Xie, Along He, Tao Li, Huazhu Fu

ICMLW 2024 Transformer Conformal Prediction for Time Series Junghwan Lee, Chen Xu, Yao Xie

AAAI 2023 A Generative Approach for Script Event Prediction via Contrastive Fine-Tuning Fangqi Zhu, Jun Gao, Changlong Yu, Wei Wang, Chen Xu, Xin Mu, Min Yang, Ruifeng Xu

NeurIPSW 2023 An Alternative Approach to Train Neural Networks Using Monotone Variational Inequality Chen Xu, Xiuyuan Cheng, Yao Xie

NeurIPSW 2023 Computing High-Dimensional Optimal Transport by Flow Neural Networks Chen Xu, Xiuyuan Cheng, Yao Xie

CVPR 2023 Exploring Data Geometry for Continual Learning Zhi Gao, Chen Xu, Feng Li, Yunde Jia, Mehrtash Harandi, Yuwei Wu

NeurIPSW 2023 Flow-Based Distributionally Robust Optimization Chen Xu, Jonghyeok Lee, Xiuyuan Cheng, Yao Xie

AAAI 2023 Improving End-to-End Speech Translation by Leveraging Auxiliary Speech and Text Data Yuhao Zhang, Chen Xu, Bojie Hu, Chunliang Zhang, Tong Xiao, Jingbo Zhu

NeurIPS 2023 Normalizing Flow Neural Networks by JKO Scheme Chen Xu, Xiuyuan Cheng, Yao Xie

NeurIPSW 2023 Normalizing Flow Neural Networks by JKO Scheme Chen Xu, Xiuyuan Cheng, Yao Xie

IJCAI 2023 Recent Advances in Direct Speech-to-Text Translation Chen Xu, Rong Ye, Qianqian Dong, Chengqi Zhao, Tom Ko, Mingxuan Wang, Tong Xiao, Jingbo Zhu

ICML 2023 Sequential Predictive Conformal Inference for Time Series Chen Xu, Yao Xie

NeurIPSW 2022 Invertible Neural Networks for Graph Prediction Chen Xu, Xiuyuan Cheng, Yao Xie

CVPR 2022 Learnable Irrelevant Modality Dropout for Multimodal Action Recognition on Modality-Specific Annotated Videos Saghir Alfasly, Jian Lu, Chen Xu, Yuru Zou

AAAI 2021 Change or Not: A Simple Approach for Plug and Play Language Models on Sentiment Control Chen Xu, Jianyu Zhao, Rang Li, Changjian Hu, Chuangbai Xiao

ICML 2021 Conformal Prediction Interval for Dynamic Time-Series Chen Xu, Yao Xie

JMLR 2020 Distributed Feature Screening via Componentwise Debiasing Xingxiang Li, Runze Li, Zhiming Xia, Chen Xu

NeurIPS 2020 MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles Zhennan Wang, Canqun Xiang, Wenbin Zou, Chen Xu

NeurIPS 2020 Multi-Task Additive Models for Robust Estimation and Automatic Structure Discovery Yingjie Wang, Hong Chen, Feng Zheng, Chen Xu, Tieliang Gong, Yanhong Chen

NeurIPS 2020 Predictive Inference Is Free with the Jackknife+-After-Bootstrap Byol Kim, Chen Xu, Rina Barber

AAAI 2020 Robust Gradient-Based Markov Subsampling Tieliang Gong, Quanhan Xi, Chen Xu

ICLR 2018 Alternating Multi-Bit Quantization for Recurrent Neural Networks Chen Xu, Jianqiang Yao, Zhouchen Lin, Wenwu Ou, Yuanbin Cao, Zhirong Wang, Hongbin Zha

AAAI 2017 A Unified Convex Surrogate for the Schatten-P Norm Chen Xu, Zhouchen Lin, Hongbin Zha

AAAI 2016 Relaxed Majorization-Minimization for Non-Smooth and Non-Convex Optimization Chen Xu, Zhouchen Lin, Zhenyu Zhao, Hongbin Zha