Zheng, Shun

11 publications

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

ICLR 2026 Routing Channel-Patch Dependencies in Time Series Forecasting with Graph Spectral Decomposition Dongyuan Li, Shun Zheng, Chang Xu, Jiang Bian, Renhe Jiang

ICLRW 2025 Does Cross-Domain Pre-Training Truly Help Time-Series Foundation Models? Zhenwei Zhang, Jiawen Zhang, Shun Zheng, Yuantao Gu, Jiang Bian

ICLR 2024 BatteryML: An Open-Source Platform for Machine Learning on Battery Degradation Han Zhang, Xiaofan Gui, Shun Zheng, Ziheng Lu, Yuqi Li, Jiang Bian

NeurIPS 2024 ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer Jiawen Zhang, Shun Zheng, Xumeng Wen, Xiaofang Zhou, Jiang Bian, Jia Li

ICLR 2024 PTaRL: Prototype-Based Tabular Representation Learning via Space Calibration Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao, Dan dan Guo, Yi Chang

NeurIPS 2024 ProbTS: Benchmarking Point and Distributional Forecasting Across Diverse Prediction Horizons Jiawen Zhang, Xumeng Wen, Zhenwei Zhang, Shun Zheng, Jia Li, Jiang Bian

NeurIPSW 2024 Scaling Generative Tabular Learning for Large Language Models Yiming Sun, Xumeng Wen, Shun Zheng, Xiaowei Jia, Jiang Bian

ICLR 2022 DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting Wei Fan, Shun Zheng, Xiaohan Yi, Wei Cao, Yanjie Fu, Jiang Bian, Tie-Yan Liu

NeurIPS 2022 Efficient and Effective Multi-Task Grouping via Meta Learning on Task Combinations Xiaozhuang Song, Shun Zheng, Wei Cao, James Yu, Jiang Bian

JMLR 2017 A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization Shun Zheng, Jialei Wang, Fen Xia, Wei Xu, Tong Zhang