Wang, Xue

29 publications

ICML 2025 AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization Junkang Wu, Xue Wang, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He

NeurIPS 2025 DecompNet: Enhancing Time Series Forecasting Models with Implicit Decomposition Donghao Luo, Xue Wang

ICCV 2025 GARF: Learning Generalizable 3D Reassembly for Real-World Fractures Sihang Li, Zeyu Jiang, Grace Chen, Chenyang Xu, Siqi Tan, Xue Wang, Irving Fang, Kristof Zyskowski, Shannon P. McPherron, Radu Iovita, Chen Feng, Jing Zhang

ICML 2025 Larger or Smaller Reward Margins to Select Preferences for LLM Alignment? Kexin Huang, Junkang Wu, Ziqian Chen, Xue Wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang

ICML 2025 Learning Bayesian Nash Equilibrium in Auction Games via Approximate Best Response Kexin Huang, Ziqian Chen, Xue Wang, Chongming Gao, Jinyang Gao, Bolin Ding, Xiang Wang

NeurIPS 2025 Less Is More: Unlocking Specialization of Time Series Foundation Models via Structured Pruning Lifan Zhao, Yanyan Shen, Zhaoyang Liu, Xue Wang, Jiaji Deng

NeurIPS 2025 MISA: Memory-Efficient LLMs Optimization with Module-Wise Importance Sampling Yuxi Liu, Renjia Deng, Yutong He, Xue Wang, Tao Yao, Kun Yuan

ICML 2025 MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Yifan Zhang, Tao Yu, Haochen Tian, Chaoyou Fu, Peiyan Li, Jianshu Zeng, Wulin Xie, Yang Shi, Huanyu Zhang, Junkang Wu, Xue Wang, Yibo Hu, Bin Wen, Tingting Gao, Zhang Zhang, Fan Yang, Di Zhang, Liang Wang, Rong Jin

IJCAI 2025 Pre-Defined Keypoints Promote Category-Level Articulation Pose Estimation via Multi-Modal Alignment Wenbo Xu, Li Zhang, Liu Liu, Yan Zhong, Haonan Jiang, Xue Wang, Rujing Wang

AAAI 2025 R2-Art: Category-Level Articulation Pose Estimation from Single RGB Image via Cascade Render Strategy Li Zhang, Haonan Jiang, Yukang Huo, Yan Zhong, Jianan Wang, Xue Wang, Rujing Wang, Liu Liu

NeurIPS 2025 RePO: Understanding Preference Learning Through ReLU-Based Optimization Junkang Wu, Kexin Huang, Xue Wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang

ICML 2024 Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games Kexin Huang, Ziqian Chen, Xue Wang, Chongming Gao, Jinyang Gao, Bolin Ding, Xiang Wang

ICLR 2024 CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting Xue Wang, Tian Zhou, Qingsong Wen, Jinyang Gao, Bolin Ding, Rong Jin

NeurIPS 2024 DeformableTST: Transformer for Time Series Forecasting Without Over-Reliance on Patching Donghao Luo, Xue Wang

AAAI 2024 MASTER: Market-Guided Stock Transformer for Stock Price Forecasting Tong Li, Zhaoyang Liu, Yanyan Shen, Xue Wang, Haokun Chen, Sen Huang

ECCV 2024 U-COPE: Taking a Further Step to Universal 9d Category-Level Object Pose Estimation Li Zhang, Weiqing Meng, Yan Zhong, Bin Kong, Mingliang Xu, Jianming Du, Xue Wang, Rujing Wang, Liu Liu

ICML 2023 AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation Yifan Zhang, Xue Wang, Kexin Jin, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan

ICCV 2023 Counterfactual-Based Saliency mAP: Towards Visual Contrastive Explanations for Neural Networks Xue Wang, Zhibo Wang, Haiqin Weng, Hengchang Guo, Zhifei Zhang, Lu Jin, Tao Wei, Kui Ren

ICLR 2023 Free Lunch for Domain Adversarial Training: Environment Label Smoothing YiFan Zhang, Xue Wang, Jian Liang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan

NeurIPS 2023 One Fits All: Power General Time Series Analysis by Pretrained LM Tian Zhou, Peisong Niu, Xue Wang, Liang Sun, Rong Jin

NeurIPS 2023 OneNet: Enhancing Time Series Forecasting Models Under Concept Drift by Online Ensembling Yifan Zhang, Qingsong Wen, Xue Wang, Weiqi Chen, Liang Sun, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan

CVPR 2023 Progressive Backdoor Erasing via Connecting Backdoor and Adversarial Attacks Bingxu Mu, Zhenxing Niu, Le Wang, Xue Wang, Qiguang Miao, Rong Jin, Gang Hua

ICML 2022 FEDformer: Frequency Enhanced Decomposed Transformer for Long-Term Series Forecasting Tian Zhou, Ziqing Ma, Qingsong Wen, Xue Wang, Liang Sun, Rong Jin

CVPR 2022 Fast and Unsupervised Action Boundary Detection for Action Segmentation Zexing Du, Xue Wang, Guoqing Zhou, Qing Wang

NeurIPS 2022 FiLM: Frequency Improved Legendre Memory Model for Long-Term Time Series Forecasting Tian Zhou, Ziqing Ma, Xue Wang, Qingsong Wen, Liang Sun, Tao Yao, Wotao Yin, Rong Jin

ECCV 2022 KVT: k-NN Attention for Boosting Vision Transformers Pichao Wang, Xue Wang, Fan Wang, Ming Lin, Shuning Chang, Hao Li, Rong Jin

AAAI 2022 Scaled ReLU Matters for Training Vision Transformers Pichao Wang, Xue Wang, Hao Luo, Jingkai Zhou, Zhipeng Zhou, Fan Wang, Hao Li, Rong Jin

IJCAI 2021 Time Series Data Augmentation for Deep Learning: A Survey Qingsong Wen, Liang Sun, Fan Yang, Xiaomin Song, Jingkun Gao, Xue Wang, Huan Xu

ICML 2018 Minimax Concave Penalized Multi-Armed Bandit Model with High-Dimensional Covariates Xue Wang, Mingcheng Wei, Tao Yao