Xiaoming Shi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
12
Active years
2011–2026
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | A Survey of Inductive Reasoning for Large Language Models. | Kedi Chen, Dezhao Ruan, Yuhao Dan, Yaoting Wang, Siyu Yan, Xuecheng Wu, Yinqi Zhang, Qin Chen, Jie Zhou, Liang He, Biqing Qi, Linyang Li, Qipeng Guo, Xiaoming Shi, Wei Zhang |
| 2025 | AAAI | Coherency Improved Explainable Recommendation via Large Language Model. | Shijie Liu, Ruixin Ding, Weihai Lu, Jun Wang, Mo Yu, Xiaoming Shi, Wei Zhang |
| 2025 | AAAI | STAMPsy: Towards SpatioTemporal-Aware Mixed-Type Dialogues for Psychological Counseling. | Jieyi Wang, Yue Huang, Zeming Liu, Dexuan Xu, Chuan Wang, Xiaoming Shi, Ruiyuan Guan, Hongxing Wang, Weihua Yue, Yu Huang |
| 2025 | ACL | Flow2Code: Evaluating Large Language Models for Flowchart-based Code Generation Capability. | Mengliang He, Jiayi Zeng, Yankai Jiang, Wei Zhang, Zeming Liu, Xiaoming Shi, Aimin Zhou |
| 2025 | ACL | LIFBench: Evaluating the Instruction Following Performance and Stability of Large Language Models in Long-Context Scenarios. | Xiaodong Wu, Minhao Wang, Yichen Liu, Xiaoming Shi, He Yan, Xiangju Li, Junmin Zhu, Wei Zhang |
| 2025 | ACL | Mis-prompt: Benchmarking Large Language Models for Proactive Error Handling. | Jiayi Zeng, Yizhe Feng, Mengliang He, Wenhui Lei, Wei Zhang, Zeming Liu, Xiaoming Shi, Aimin Zhou |
| 2025 | EMNLP | RepoDebug: Repository-Level Multi-Task and Multi-Language Debugging Evaluation of Large Language Models. | Jingjing Liu, Zeming Liu, Zihao Cheng, Mengliang He, Xiaoming Shi, Yuhang Guo, Xiangrong Zhu, Yuanfang Guo, Yunhong Wang, Haifeng Wang |
| 2025 | ICLR | TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis. | Shiyu Wang, Jiawei Li, Xiaoming Shi, Zhou Ye, Baichuan Mo, Wenze Lin, Shengtong Ju, Zhixuan Chu, Ming Jin |
| 2025 | ICLR | Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts. | Xiaoming Shi, Shiyu Wang, Yuqi Nie, Dianqi Li, Zhou Ye, Qingsong Wen, Ming Jin |
| 2025 | KDD | FRT: Flow-based Reconcile Transformer for Hierarchical Time Series. | Shiyu Wang, Wei Lu, Jiawei Li, Xiaoming Shi, Xinyue Zhong, Zhou Ye, Ming Jin, Qingsong Wen |
| 2025 | NAACL | Stealthy Jailbreak Attacks on Large Language Models via Benign Data Mirroring. | Honglin Mu, Han He, Yuxin Zhou, Yunlong Feng, Yang Xu, Libo Qin, Xiaoming Shi, Zeming Liu, Xudong Han, Qi Shi, Qingfu Zhu, Wanxiang Che |
| 2025 | NAACL | KwaiChat: A Large-Scale Video-Driven Multilingual Mixed-Type Dialogue Corpus. | Xiaoming Shi, Zeming Liu, Yiming Lei, Chenkai Zhang, Haitao Leng, Chuan Wang, Qingjie Liu, Wanxiang Che, Yunhong Wang |
| 2024 | ACL | Medical Dialogue System: A Survey of Categories, Methods, Evaluation and Challenges. | Xiaoming Shi, Zeming Liu, Li Du, Yuxuan Wang, Hongru Wang, Yuhang Guo, Tong Ruan, Jie Xu, Xiaofan Zhang, Shaoting Zhang |
| 2024 | ACML | Enhancing Textbook Question Answering with Knowledge Graph-Augmented Large Language Models. | Mengliang He, Aimin Zhou, Xiaoming Shi |
| 2024 | ICLR | Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. | Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen |
| 2024 | ICLR | TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting. | Shiyu Wang, Haixu Wu, Xiaoming Shi, Tengge Hu, Huakun Luo, Lintao Ma, James Y. Zhang, Jun Zhou |
| 2024 | ICLR | EasyTPP: Towards Open Benchmarking Temporal Point Processes. | Siqiao Xue, Xiaoming Shi, Zhixuan Chu, Yan Wang, Hongyan Hao, Fan Zhou, Caigao Jiang, Chen Pan, James Y. Zhang, Qingsong Wen, Jun Zhou, Hongyuan Mei |
| 2023 | AAAI | Learning Semantic Alignment with Global Modality Reconstruction for Video-Language Pre-training towards Retrieval. | Mingchao Li, Xiaoming Shi, Haitao Leng, Wei Zhou, Hai-Tao Zheng, Kuncai Zhang |
| 2023 | AAAI | Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. | Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei |
| 2023 | ACL | MidMed: Towards Mixed-Type Dialogues for Medical Consultation. | Xiaoming Shi, Zeming Liu, Chuan Wang, Haitao Leng, Kui Xue, Xiaofan Zhang, Shaoting Zhang |
| 2023 | IJCAI | Full Scaling Automation for Sustainable Development of Green Data Centers. | Shiyu Wang, Yinbo Sun, Xiaoming Shi, Shiyi Zhu, Lintao Ma, James Zhang, Yangfei Zheng, Liu Jian |
| 2022 | KDD | A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud. | Siqiao Xue, Chao Qu, Xiaoming Shi, Cong Liao, Shiyi Zhu, Xiaoyu Tan, Lintao Ma, Shiyu Wang, Shijun Wang, Yun Hu, Lei Lei, Yangfei Zheng, Jianguo Li, James Zhang |
| 2021 | IJCNN | A Graph Regularized Point Process Model For Event Propagation Sequence. | Siqiao Xue, Xiaoming Shi, Hongyan Hao, Lintao Ma, James Zhang, Shiyu Wang, Shijun Wang |
| 2021 | WCNC | Coverage Probability of UAV-Enabled Millimeter Wave Communications in Finite Areas. | Xiaoming Shi, Na Deng |
| 2020 | AAAI | Understanding Medical Conversations with Scattered Keyword Attention and Weak Supervision from Responses. | Xiaoming Shi, Haifeng Hu, Wanxiang Che, Zhongqian Sun, Ting Liu, Junzhou Huang |
| 2012 | PLDI | Understanding and detecting real-world performance bugs. | Guoliang Jin, Linhai Song, Xiaoming Shi, Joel Scherpelz, Shan Lu |
| 2011 | HCI | Head-Pose Recognition for a Game System Based on Nose's Relative Position. | Qingjie Zhao, Xiaoming Shi, Yuxia Wang |