Xu, Zhijian

10 publications

ICLR 2026 From Samples to Scenarios: A New Paradigm for Probabilistic Forecasting Xilin Dai, Zhijian Xu, Wanxu Cai, Qiang Xu

ICLR 2026 Making Slow Thinking Faster: Compressing LLM Chain-of-Thought via Step Entropy Zeju Li, Jianyuan Zhong, Ziyang Zheng, Xiangyu Wen, Zhijian Xu, Yingying Cheng, Fan Zhang, Qiang Xu

ICLR 2026 Reasoning Scaffolding: Distilling the Flow of Thought from LLMs Xiangyu Wen, Junhua Huang, Zeju Li, Min Li, Jianyuan Zhong, Zhijian Xu, Mingxuan Yuan, Yongxiang Huang, Qiang Xu

ICLR 2026 Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs Xumeng Wen, Zihan Liu, Shun Zheng, Shengyu Ye, Zhirong Wu, Yang Wang, Zhijian Xu, Xiao Liang, Junjie Li, Ziming Miao, Jiang Bian, Mao Yang

NeurIPS 2025 Dependency Matters: Enhancing LLM Reasoning with Explicit Knowledge Grounding Xiangyu Wen, Min Li, Junhua Huang, Jianyuan Zhong, Zhijian Xu, Zeju Li, Yongxiang Huang, Mingxuan Yuan, Qiang Xu

CVPR 2025 MMVU: Measuring Expert-Level Multi-Discipline Video Understanding Yilun Zhao, Haowei Zhang, Lujing Xie, Tongyan Hu, Guo Gan, Yitao Long, Zhiyuan Hu, Weiyuan Chen, Chuhan Li, Zhijian Xu, Chengye Wang, Ziyao Shangguan, Zhenwen Liang, Yixin Liu, Chen Zhao, Arman Cohan

IJCAI 2025 State Revisit and Re-Explore: Bridging Sim-to-Real Gaps in Offline-and-Online Reinforcement Learning with an Imperfect Simulator Xingyu Chen, Jiayi Xie, Zhijian Xu, Ruixun Liu, Shuai Yang, Zeyang Liu, Lipeng Wan, Xuguang Lan

ICLR 2024 FITS: Modeling Time Series with $10k$ Parameters Zhijian Xu, Ailing Zeng, Qiang Xu

ICML 2024 Multi-Patch Prediction: Adapting Language Models for Time Series Representation Learning Yuxuan Bian, Xuan Ju, Jiangtong Li, Zhijian Xu, Dawei Cheng, Qiang Xu

NeurIPS 2022 SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction Minhao Liu, Ailing Zeng, Muxi Chen, Zhijian Xu, Qiuxia Lai, Lingna Ma, Qiang Xu