Xue Wang - RankMe

56 papers A* 19Journal 35Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accelerating LLM Pre-Training through Flat-Direction Dynamics Enhancement. CoRR Shuchen Zhu, Rizhen Hu, Mingze Wang, Mou Sun, Xue Wang, Kun Yuan, Zaiwen Wen
2026	J	`jnl`	Beyond LLaVA-HD: Diving Into High-Resolution Multimodal Large Language Models. IEEE Trans. Pattern Anal. Mach. Intell. Yifan Zhang, Qingsong Wen, Chaoyou Fu, Kun Wang, Xue Wang, Zhang Zhang, Liang Wang, Rong Jin
2026	—	`conf`	Incentivizing Strong Reasoning from Weak Supervision. EACL (Volume 1: Long Papers) Yige Yuan, Teng Xiao, Shuchang Tao, Xue Wang, Jinyang Gao, Bolin Ding, Bingbing Xu
2026	J	`jnl`	Model-Free Test Time Adaptation for Out-of-Distribution Detection. IEEE Trans. Pattern Anal. Mach. Intell. Yifan Zhang, Xue Wang, Tian Zhou, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin
2026	J	`jnl`	On the Direction of RLVR Updates for LLM Reasoning: Identification and Exploitation. CoRR Kexin Huang, Haoming Meng, Junkang Wu, Jinda Lu, Chiyu Ma, Ziqian Chen, Xue Wang, Bolin Ding, Jiancan Wu, Xiang Wang, Xiangnan He, Guoyin Wang, Jingren Zhou
2026	A*	`conf`	SimDiff: Simpler Yet Better Diffusion Model for Time Series Point Forecasting. AAAI Hang Ding, Xue Wang, Tian Zhou, Tao Yao
2026	J	`jnl`	Sparse but Critical: A Token-Level Analysis of Distributional Shifts in RLVR Fine-Tuning of LLMs. CoRR Haoming Meng, Kexin Huang, Shaohang Wei, Chiyu Ma, Shuo Yang, Xue Wang, Guoyin Wang, Bolin Ding, Jingren Zhou
2025	A*	`conf`	AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization. ICML Junkang Wu, Xue Wang, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
2025	A*	`conf`	Debiasing Multimodal Large Language Models via Penalization of Language Priors. ACM Multimedia Yifan Zhang, Yang Shi, Weichen Yu, Qingsong Wen, Xue Wang, Wenjing Yang, Zhang Zhang, Liang Wang, Rong Jin
2025	J	`jnl`	Incentivizing Strong Reasoning from Weak Supervision. CoRR Yige Yuan, Teng Xiao, Shuchang Tao, Xue Wang, Jinyang Gao, Bolin Ding, Bingbing Xu
2025	J	`jnl`	Larger or Smaller Reward Margins to Select Preferences for Alignment? CoRR Kexin Huang, Junkang Wu, Ziqian Chen, Xue Wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang
2025	A*	`conf`	Larger or Smaller Reward Margins to Select Preferences for LLM Alignment? ICML Kexin Huang, Junkang Wu, Ziqian Chen, Xue Wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang
2025	A*	`conf`	Learning Bayesian Nash Equilibrium in Auction Games via Approximate Best Response. ICML Kexin Huang, Ziqian Chen, Xue Wang, Chongming Gao, Jinyang Gao, Bolin Ding, Xiang Wang
2025	J	`jnl`	MISA: Memory-Efficient LLMs Optimization with Module-wise Importance Sampling. CoRR Yuxi Liu, Renjia Deng, Yutong He, Xue Wang, Tao Yao, Kun Yuan
2025	A*	`conf`	MM-RLHF: The Next Step Forward in Multimodal LLM Alignment. ICML 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
2025	J	`jnl`	MM-RLHF: The Next Step Forward in Multimodal LLM Alignment. CoRR 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, Fan Yang, Zhang Zhang, Tingting Gao, Di Zhang, Liang Wang, Rong Jin, Tieniu Tan
2025	J	`jnl`	Online Learning and Decision Making Under Generalized Linear Model with High-Dimensional Data. Manag. Sci. Xue Wang, Mike Mingcheng Wei, Tao Yao
2025	J	`jnl`	Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model. CoRR Xue Wang, Tian Zhou, Jinyang Gao, Bolin Ding, Jingren Zhou
2025	J	`jnl`	RePO: ReLU-based Preference Optimization. CoRR Junkang Wu, Kexin Huang, Xue Wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang
2025	J	`jnl`	SimDiff: Simpler Yet Better Diffusion Model for Time Series Point Forecasting. CoRR Hang Ding, Xue Wang, Tian Zhou, Tao Yao
2024	J	`jnl`	Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt. CoRR Yifan Zhang, Weiqi Chen, Zhaoyang Zhu, Dalin Qin, Liang Sun, Xue Wang, Qingsong Wen, Zhang Zhang, Liang Wang, Rong Jin
2024	J	`jnl`	Attention as Robust Representation for Time Series Forecasting. CoRR Peisong Niu, Tian Zhou, Xue Wang, Liang Sun, Rong Jin
2024	A*	`conf`	Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games. ICML Kexin Huang, Ziqian Chen, Xue Wang, Chongming Gao, Jinyang Gao, Bolin Ding, Xiang Wang
2024	J	`jnl`	Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models. CoRR Yifan Zhang, Qingsong Wen, Chaoyou Fu, Xue Wang, Zhang Zhang, Liang Wang, Rong Jin
2024	A*	`conf`	CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting. ICLR Xue Wang, Tian Zhou, Qingsong Wen, Jinyang Gao, Bolin Ding, Rong Jin
2024	J	`jnl`	Debiasing Multimodal Large Language Models. CoRR Yifan Zhang, Weichen Yu, Qingsong Wen, Xue Wang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
2024	J	`jnl`	DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation. CoRR Yuan Gao, Haokun Chen, Xiang Wang, Zhicai Wang, Xue Wang, Jinyang Gao, Bolin Ding
2024	J	`jnl`	S CoRR Xue Wang, Tian Zhou, Jianqing Zhu, Jialin Liu, Kun Yuan, Tao Yao, Wotao Yin, Rong Jin, HanQin Cai
2024	J	`jnl`	S$^\text{3}$Attention: Improving Long Sequence Attention With Smoothed Skeleton Sketching. IEEE J. Sel. Top. Signal Process. Xue Wang, Tian Zhou, Jianqing Zhu, Jialin Liu, Kun Yuan, Tao Yao, Wotao Yin, Rong Jin, HanQin Cai
2024	A*	`conf`	Structured Model Probing: Empowering Efficient Transfer Learning by Structured Regularization. CVPR Zhi-Fan Wu, Chaojie Mao, Xue Wang, Jianwen Jiang, Yiliang Lv, Rong Jin
2024	J	`jnl`	α-DPO: Adaptive Reward Margin is What Direct Preference Optimization Needs. CoRR Junkang Wu, Xue Wang, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
2023	A*	`conf`	AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation. ICML Yifan Zhang, Xue Wang, Kexin Jin, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
2023	J	`jnl`	AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation. CoRR Yifan Zhang, Xue Wang, Kexin Jin, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
2023	A*	`conf`	Efficient Sparse Linear Bandits under High Dimensional Data. KDD Xue Wang, Mike Mingcheng Wei, Tao Yao
2023	A*	`conf`	Free Lunch for Domain Adversarial Training: Environment Label Smoothing. ICLR Yifan Zhang, Xue Wang, Jian Liang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
2023	J	`jnl`	Free Lunch for Domain Adversarial Training: Environment Label Smoothing. CoRR Yifan Zhang, Xue Wang, Jian Liang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
2023	J	`jnl`	Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook. CoRR Ming Jin, Qingsong Wen, Yuxuan Liang, Chaoli Zhang, Siqiao Xue, Xue Wang, James Zhang, Yi Wang, Haifeng Chen, Xiaoli Li, Shirui Pan, Vincent S. Tseng, Yu Zheng, Lei Chen, Hui Xiong
2023	J	`jnl`	Make Transformer Great Again for Time Series Forecasting: Channel Aligned Robust Dual Transformer. CoRR Xue Wang, Tian Zhou, Qingsong Wen, Jinyang Gao, Bolin Ding, Rong Jin
2023	J	`jnl`	Model-free Test Time Adaptation for Out-Of-Distribution Detection. CoRR Yifan Zhang, Xue Wang, Tian Zhou, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
2023	A*	`conf`	One Fits All: Power General Time Series Analysis by Pretrained LM. NeurIPS Tian Zhou, Peisong Niu, Xue Wang, Liang Sun, Rong Jin
2023	J	`jnl`	One Fits All: Universal Time Series Analysis by Pretrained LM and Specially Designed Adaptors. CoRR Tian Zhou, Peisong Niu, Xue Wang, Liang Sun, Rong Jin
2023	A*	`conf`	OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling. NeurIPS Yifan Zhang, Qingsong Wen, Xue Wang, Weiqi Chen, Liang Sun, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
2023	J	`jnl`	OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling. CoRR Yifan Zhang, Qingsong Wen, Xue Wang, Weiqi Chen, Liang Sun, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
2023	J	`jnl`	Power Time Series Forecasting by Pretrained LM. CoRR Tian Zhou, Peisong Niu, Xue Wang, Liang Sun, Rong Jin
2023	A*	`conf`	Progressive Backdoor Erasing via connecting Backdoor and Adversarial Attacks. CVPR Bingxu Mu, Zhenxing Niu, Le Wang, Xue Wang, Qiguang Miao, Rong Jin, Gang Hua
2022	A*	`conf`	FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting. ICML Tian Zhou, Ziqing Ma, Qingsong Wen, Xue Wang, Liang Sun, Rong Jin
2022	J	`jnl`	FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting. CoRR Tian Zhou, Ziqing Ma, Qingsong Wen, Xue Wang, Liang Sun, Rong Jin
2022	A*	`conf`	FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting. NeurIPS Tian Zhou, Ziqing Ma, Xue Wang, Qingsong Wen, Liang Sun, Tao Yao, Wotao Yin, Rong Jin
2022	J	`jnl`	FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting. CoRR Tian Zhou, Ziqing Ma, Xue Wang, Qingsong Wen, Liang Sun, Tao Yao, Wotao Yin, Rong Jin
2022	—	`conf`	KVT: k-NN Attention for Boosting Vision Transformers. ECCV (24) Pichao Wang, Xue Wang, Fan Wang, Ming Lin, Shuning Chang, Hao Li, Rong Jin
2022	A*	`conf`	Scaled ReLU Matters for Training Vision Transformers. AAAI Pichao Wang, Xue Wang, Hao Luo, Jingkai Zhou, Zhipeng Zhou, Fan Wang, Hao Li, Rong Jin
2022	J	`jnl`	TreeDRNet: A Robust Deep Model for Long Term Time Series Forecasting. CoRR Tian Zhou, Jianqing Zhu, Xue Wang, Ziqing Ma, Qingsong Wen, Liang Sun, Rong Jin
2021	J	`jnl`	KVT: k-NN Attention for Boosting Vision Transformers. CoRR Pichao Wang, Xue Wang, Fan Wang, Ming Lin, Shuning Chang, Wen Xie, Hao Li, Rong Jin
2021	J	`jnl`	Scaled ReLU Matters for Training Vision Transformers. CoRR Pichao Wang, Xue Wang, Hao Luo, Jingkai Zhou, Zhipeng Zhou, Fan Wang, Hao Li, Rong Jin
2021	A*	`conf`	Time Series Data Augmentation for Deep Learning: A Survey. IJCAI Qingsong Wen, Liang Sun, Fan Yang, Xiaomin Song, Jingkun Gao, Xue Wang, Huan Xu
2020	J	`jnl`	Time Series Data Augmentation for Deep Learning: A Survey. CoRR Qingsong Wen, Liang Sun, Xiaomin Song, Jingkun Gao, Xue Wang, Huan Xu