Cheng, Mingyue

10 publications

ICLR 2026 Fewer Battles, More Gain: An Information-Efficient Framework for Arena-Based LLM Evaluation Zirui Liu, Xianquan Wang, Yan Zhuang, Jiatong Li, Qi Liu, Shuanghong Shen, Mingyue Cheng, Shijin Wang

ICLR 2026 Visual Autoregressive Modeling for Instruction-Guided Image Editing Qingyang Mao, Qi Cai, Yehao Li, Yingwei Pan, Mingyue Cheng, Ting Yao, Qi Liu, Tao Mei

IJCAI 2025 A Hybrid Multi-Factor Network with Dynamic Sequence Modeling for Early Warning of Intraoperative Hypotension Mingyue Cheng, Jintao Zhang, Zhiding Liu, Chunli Liu

ICML 2025 Am-ELO: A Stable Framework for Arena-Based LLM Evaluation Zirui Liu, Jiatong Li, Yan Zhuang, Qi Liu, Shuanghong Shen, Jie Ouyang, Mingyue Cheng, Shijin Wang

IJCAI 2025 Conditional Denoising Meets Polynomial Modeling: A Flexible Decoupled Framework for Time Series Forecasting Jintao Zhang, Mingyue Cheng, Xiaoyu Tao, Zhiding Liu, Daoyu Wang

IJCAI 2025 Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain Reasoner Yitong Zhou, Mingyue Cheng, Qingyang Mao, Jiahao Wang, Feiyang Xu, Xin Li

NeurIPS 2025 Improving Time Series Forecasting via Instance-Aware Post-Hoc Revision Zhiding Liu, Mingyue Cheng, GuanHao Zhao, Jiqian Yang, Qi Liu, Enhong Chen

ICML 2025 TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation Daoyu Wang, Mingyue Cheng, Zhiding Liu, Qi Liu

IJCAI 2025 Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems Hao Zhang, Mingyue Cheng, Zhiding Liu, Junzhe Jiang

NeurIPS 2023 Adaptive Normalization for Non-Stationary Time Series Forecasting: A Temporal Slice Perspective Zhiding Liu, Mingyue Cheng, Zhi Li, Zhenya Huang, Qi Liu, Yanhu Xie, Enhong Chen