Mingyue Cheng  程明月

Biography

I am an Associate Researcher at the School of Computer Science and Technology, University of Science and Technology of China (USTC). I am also affiliated with the State Key Laboratory of Cognitive Intelligence at USTC, working under the guidance of Prof. Enhong Chen and Prof. Qi Liu. Previously, I obtained my Ph.D. degree under the supervision of Prof. Qi Liu.

Latest News

• [Aug. 2026] 🎉 Congratulations on our paper PaperScout being accepted to Findings of EMNLP 2026!
• [Aug. 2026] 🎉 We are excited to present our tutorial, “Context-Aware Time Series Forecasting: From Pattern Extrapolation to Cognitive Reasoning,” at IEEE ICDM 2026. See you in Shenyang!
• [Aug. 2026] 🎉 I will serve as the Publication Chair for ICEBE 2026.
• [Aug. 2026] 🎉 Congratulations on our papers Mind2Report, Time-R1, and AlphaCast being accepted to ACM CIKM 2026!
• [Aug. 2026] 🎉 Congratulations on our survey A Survey on Table Mining with Large Language Models: Challenges, Advancements and Prospects being accepted by ACM Computing Surveys (ACM CSUR)!
• [Aug. 2026] 🎉 Congratulations on our demo papers Agent-R1 and TabClaw being accepted to the ACM CIKM 2026 Demo Track!
• [Jul. 2026] Our tutorial on Context-Aware Time Series Forecasting has been accepted by the IEEE ICDM 2026 Industry Tutorial Session. I will serve as a tutorial organizer and speaker.
• [Jul. 2026] Our workshop, FedKDD/FedMAS 2026, will be held in conjunction with KDD 2026. I am honored to serve as the Program Chair.
• [Jul. 2026] 🏆 Our Agentic Time Series Forecasting solution CastStar ranked #1 on the GIFT-Eval Overall leaderboard.
• [Jun. 2026] 🎉 Our project CastClaw（观星阁） received a Poster Presentation Certificate at the 2026 BAAI Conference Agent for Science Competition.
• [Jun. 2026] 🎉 Congratulations on our Knowledge-Oriented RAG Survey being accepted to ACM Transactions on Information Systems (ACM TOIS)!
• [May. 2026] 🎉 Congratulations to Zhiding Liu on his work DisenTS being accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI)!
• [May. 2026] 🎉 Congratulations to Xiaoyu Tao on her paper being accepted to ACM Transactions on Intelligent Systems and Technology (ACM TIST)!
• [May. 2026] 🎉 Congratulations to two of my co-supervised students (Yucong Luo and Jie Ouyang) on receiving ByteDance Jindouyun offers!
• [May. 2026] 🎉 Congratulations to Yitong Zhou on our paper ChemTable being accepted to KDD 2026!
• [May. 2026] 🚀 We released CastFactory（炼星坊）, a framework for LLM-driven time series forecasting model training. GitHub
• [May. 2026] 🎉 Congratulations to Xiaoyu Tao and Bohou Zhang on our papers (TokenCast and ScholarSum) being accepted to IJCAI 2026!
• [May. 2026] 🎉 Congratulations to Yaguo Liu and Xiaoyu Tao on our papers (CoGenCast and MemCast) being accepted to ICML 2026!
• [Apr. 2026] 📄 We released the preprint version of our survey on LLM-based agents from the contextual cognition perspective on Preprints.org: "A Comprehensive Survey of the LLM-Based Agent: The Contextual Cognition Perspective".

📘 Preprint

1. Mingyue Cheng, Xiaoyu Tao, Qi Liu, Ze Guo, Enhong Chen, Position: Beyond Model-Centric Prediction — Agentic Time Series Forecasting. (Preprint) [PDF]
2. Xiaoyu Tao, Mingyue Cheng, Bokai Pan, Chuang Jiang, Huanjian Zhang, Tian Gao, Yaguo Liu, Qi Liu, Enhong Chen, CastFSR: A Fast--Slow--Reflect Agentic Reasoning Framework for Context-Aware Time Series Forecasting. (Preprint) [ArXiv]
3. Bokai Pan, Mingyue Cheng*, Zhiding Liu, Shuo Yu, Xiaoyu Tao, Yuchong Wu, Qi Liu, Defu Lian, Enhong Chen, CastFlow: Learning Role-Specialized Agentic Workflows for Time Series Forecasting. (Preprint) [PDF] [Code]
4. Xiaoyu Tao, Mingyue Cheng, Chuang Jiang, Tian Gao, Huanjian Zhang, Yaguo Liu, Qi Liu, Cast-R1: Learning Tool-Augmented Sequential Decision Policies for Time Series Forecasting. (Preprint) [PDF] [Code]
5. Daoyu Wang, Mingyue Cheng*, Shuo Yu, Zirui Liu, Ze Guo, Xin Li, Qi Liu, PaperArena: An Evaluation Benchmark for Tool-Augmented Agentic Reasoning on Scientific Literature. (Preprint) [PDF] [Code]
6. Daoyu Wang, Qingchuan Li, Mingyue Cheng, Jie Ouyang, Shuo Yu, Qi Liu, Enhong Chen, StepPO: Step-Aligned Policy Optimization for Agentic Reinforcement Learning. (Preprint) [PDF]

📘 Released Survey

1. Mingyue Cheng, Daoyu Wang, Shuo Yu, Qingchuan Li, Jie Ouyang, Yucong Luo, Yiju Zhang, Qi Liu*, Enhong Chen, A Comprehensive Survey of the LLM-Based Agent: The Contextual Cognition Perspective. (Preprint) [Preprint]
2. Mingyue Cheng, Zhiding Liu, Xiaoyu Tao, Qi Liu*, Jintao Zhang, Tingyue Pan, Shilong Zhang, Panjing He, Xiaohan Zhang, Daoyu Wang, Jiahao Wang, Enhong Chen, A Comprehensive Survey of Time Series Forecasting: Concepts, Challenges, and Future Directions. (Preprint) [PDF] [Code]

🐎 Year of the Fire Horse (Bing Wu Year, 2026)

1. Mingyue Cheng, Yucong Luo, Jie Ouyang, Qi Liu*, Huijie Liu, Li Li, Shuo Yu, Bohou Zhang, Jiawei Cao, Jie Ma, Daoyu Wang, Enhong Chen, A Survey on Knowledge-Oriented Retrieval-Augmented Generation. ACM Transactions on Information Systems (ACM TOIS) Accepted. [PDF] [Code]
2. Mingyue Cheng, Qingyang Mao, Qi Liu*, Yitong Zhou, Yupeng Li, Jiahao Wang, Jiaying Lin, Jiawei Cao, Enhong Chen, A Survey on Table Mining with Large Language Models: Challenges, Advancements and Prospects. ACM Computing Surveys (ACM CSUR) Accepted. [PDF] [Code]
3. Tingyue Pan, Mingyue Cheng*, Shilong Zhang, Zhiding Liu, Xiaoyu Tao, Yucong Luo, Jintao Zhang, Qi Liu, OneCast: Structured Decomposition and Modular Generation for Cross-Domain Time Series Forecasting. ACM Transactions on Knowledge Discovery from Data (ACM TKDD) Accepted. [PDF]
4. Mingyue Cheng, Daoyu Wang, Qi Liu*, Shuo Yu, Xiaoyu Tao, Yuqian Wang, Chengzhong Chu, Yu Duan, Mingkang Long, Enhong Chen, Mind2Report: A Cognitive Deep Research Agent for Expert-Level Commercial Report Synthesis. ACM CIKM 2026 Accepted. [PDF] [Code]
5. Yitong Zhou, Yucong Luo, Mingyue Cheng*, Jiahao Wang, Daoyu Wang, Tingyue Pan, Jintao Zhang, Qi Liu, Enhong Chen, Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs. ACM CIKM 2026 Accepted. [PDF] [Code]
6. Xiaohan Zhang, Tian Gao, Mingyue Cheng*, Bokai Pan, Ze Guo, Yaguo Liu, Xiaoyu Tao, Qi Liu, AlphaCast: A Human Wisdom-LLM Intelligence Co-Reasoning Framework for Interactive Time Series Forecasting. ACM CIKM 2026 Accepted. [PDF] [Code]
7. Mingyue Cheng, Xiaoyu Tao, Huajian Zhang, Qi Liu*, Enhong Chen, InstructTime++: Time Series Classification with Multimodal Language Modeling via Implicit Feature Enhancement. ACM Transactions on Intelligent Systems and Technology (ACM TIST) Accepted. [PDF] [Code]
8. Yitong Zhou, Mingyue Cheng*, Qingyang Mao, Yucong Luo, Qi Liu, Yupeng Li, Xiaohan Zhang, Deguang Liu, Xin Li, Enhong Chen, Benchmarking Multimodal LLMs on Recognition and Understanding over Chemical Tables. KDD2026 Accepted. [PDF] [Code]
9. Xiaoyu Tao, Mingyue Cheng*, Ze Guo, Shuo Yu, Yaguo Liu, Qi Liu, Shijin Wang, MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning. ICML2026 Accepted. [PDF]
10. Mingyue Cheng, Yaguo Liu, Daoyu Wang, Xiaoyu Tao, Qi Liu*, CoGenCast: A Coupled Autoregressive-Flow Generative Framework for Time Series Forecasting. ICML2026 Accepted. [PDF]
11. Xiaoyu Tao, Shilong Zhang, Mingyue Cheng*, Daoyu Wang, Tingyue Pan, Bokai Pan, Changqing Zhang, Shijin Wang, From Values to Tokens: An LLM-Driven Framework for Context-aware Time Series Forecasting via Symbolic Discretization. IJCAI2026 Accepted. [PDF]
12. Bohou Zhang, Xiaoyu Tao, Mingyue Cheng*, Huijie Liu, Qi Liu, ScholarSum: Student-Teacher Abstractive Summarization via Knowledge Graph Reasoning and Reflective Refinement. IJCAI2026 Accepted.
13. Jiawei Cao, Jie Ouyang, Mingyue Cheng*, Zhaomeng Zhou, Chunli Liu, Yupeng Li, Zirui Liu, Shijin Wang, Re³: Relevance & Recency Retrieval for Mitigating Temporal Hallucination. ACL2026 Accepted.
14. Huajian Zhang, Mingyue Cheng*, Yucong Luo, Xiaoyu Tao, STaR: Towards Cognitive Table Reasoning via Slow-Thinking Large Language Models. ACM WWW2026. [PDF] [Code]
15. Zhiding Liu, Ben Chen, Mingyue Cheng*, Enhong Chen, Li Li, Chenyi Lei*, Wenwu Ou, Han Li and Kun Gai, Towards Context-aware Reasoning-enhanced Generative Searching in E-commerce. ACM WWW2026. [PDF]
16. Shuo Yu, Mingyue Cheng*, Daoyu Wang, Qi Liu, Zirui Liu, Ze Guo, Xiaoyu Tao, MemWeaver: A Hierarchical Memory from Textual Interactive Behaviors for Personalized Generation. ACM WWW2026. [PDF]
17. Mingyue Cheng, Jiahao Wang, Daoyu Wang, Xiaoyu Tao, Qi Liu*, Enhong Chen, Can Slow-Thinking LLMs Reason Over Time? Empirical Studies in Time Series Forecasting. ACM WSDM2026: 99–110, Feb 2026. [PDF] [Code]
18. Mingyue Cheng, Xiaoyu Tao, Zhiding Liu, Qi Liu*, Hao Zhang, Rujiao Zhang and Enhong Chen, TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders, ACM WSDM2026: 498–508, Feb 2026. [arXiv version] [Code]
19. Chuang Jiang, Mingyue Cheng*, Xiaoyu Tao, Qingyang Mao, Jie Ouyang and Qi Liu, TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning. ACM WSDM2026: 260–270, Feb 2026. [PDF] [Code]
20. Qingchuan Li, Mingyue Cheng*, Zirui Liu, Daoyu Wang, Yuting Zeng, Tongxuan Liu, From Hypothesis to Premises: LLM-based Backward Logical Reasoning with Selective Symbolic Translation. AAAI2026: 31671–31679, Mar 2026. [PDF] [DOI]
21. Yupeng Li, Mingyue Cheng*, Yucong Luo, Yitong Zhou, Qingyang Mao, Shijin Wang, BLADE: A Behavior-Level Data Augmentation Framework with Dual Fusion Modeling for Multi-Behavior Sequential Recommendation. AAAI2026: 15189–15197, Mar 2026. [PDF] [DOI]
22. Tingyue Pan, Jie Ouyang, Mingyue Cheng, Qingchuan Li, Zirui Liu, Daoyu Wang, Mingfan Pan, Shuo Yu, Qi Liu, PaperScout: An Autonomous Agent for Academic Paper Search with Process-Aware Sequence-Level Policy Optimization. Findings of EMNLP 2026 Accepted. [PDF]
23. Mingyue Cheng, Shuo Yu, Daoyu Wang, Qingchuan Li, Xiaoyu Tao, Jie Ouyang, Yucong Luo, Yitong Zhou, Qi Liu*, Enhong Chen, Agent-R1: A Unified and Modular Framework for Agentic Reinforcement Learning. ACM CIKM2026 Demo Track Accepted.
24. Mingyue Cheng, Shuo Yu, Daoyu Wang, Qingchuan Li, Xiaoyu Tao, Qingyang Mao, Yitong Zhou, Qi Liu*, TabClaw: An Interactive and Self-Evolving Agent for Spreadsheet Manipulation and Table Reasoning. ACM CIKM2026 Demo Track Accepted.

🐍 Year of the Wood Snake (Yi Si Year, 2025)

1. Mingyue Cheng, Jiqian Yang, Tingyue Pan, Qi Liu*, Zhi Li, ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis, ACM WWW2025, Sydney, 2025. [PDF] [Code] — Included in sktime
2. Xiaoyu Tao, Tingyue Pan, Mingyue Cheng*, Yucong Luo, Qi Liu, Enhong Chen, Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification. (ACM Transactions on Intelligent Systems and Technology (ACM TIST)) [PDF] [Code]
3. Mingyue Cheng, Yiheng Chen, Qi Liu*, Zhiding Liu, Yucong Luo, Enhong Chen, InstrucTime: Advancing Time Series Classification with Multimodal Language Modeling, ACM WSDM2025 (Best of WSDM): 792–800, Hannover, 2025. [PDF] [Code] [Poster]
4. Mingyue Cheng, Xiaoyu Tao, Qi Liu*, Hao Zhang, Yiheng Chen, Defu Lian, Cross-Domain Pre-training with Language Models for Transferable Time Series Representations, ACM WSDM2025: 175–183, Hannover, 2025. [PDF] [Code] [Poster]
5. Daoyu Wang, Mingyue Cheng*, Zhiding Liu, Qi Liu, TimeDART: A Diffusion Autoregressive Transformer for Self-supervised Time Series Representation, ICML 2025, Vancouver, PMLR 267, 2025. [PDF] [Code]
6. Jie Ouyang, Tingyue Pan, Mingyue Cheng*, Ruiran Yan, Yucong Luo, Jiaying Lin, Qi Liu, HoH: A Dynamic Benchmark for Evaluating the Impact of Outdated Information on RAG, ACL 2025: 6036–6063, Vienna, 2025. [PDF] [Code]
7. Mingyue Cheng, Jintao Zhang, Zhiding Liu, Chunli Liu*, A Hybrid Multi-Factor Framework for Dynamic Intraoperative Hypotension Prediction, IJCAI 2025: 4923–4931, Montreal, 2025. [PDF]
8. Jintao Zhang, Mingyue Cheng*, Xiaoyu Tao, Zhiding Liu, Daoyu Wang, Conditional Denoising Meets Polynomial Modeling: A Flexible Decoupled Framework for Time Series Forecasting, IJCAI 2025: 6993–7001, Montreal, 2025. [PDF] [Code]
9. Yitong Zhou, Mingyue Cheng*, Qingyang Mao, Feiyang Xu, Xin Li, Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain Reasoner, IJCAI 2025: 2503–2511, Montreal, 2025. [PDF] [Code]
10. Hao Zhang, Mingyue Cheng*, Qi Liu, Zhiding Liu, Linbo Zhu, Yu Su, Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems, IJCAI 2025: 3624–3632, Montreal, 2025. [PDF] [Code]
11. Jiahao Wang, Mingyue Cheng*, Qingyang Mao, Qi Liu, Feiyang Xu, Xin Li, Enhong Chen, TableTime: Reformulating Time Series Classification as Zero-Shot Table Understanding via LLMs, ACM CIKM 2025. [PDF] [Code]
12. Shuo Yu, Mingyue Cheng*, Jiqian Yang, Jie Ouyang, et al., Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study, ACM CIKM 2025.

🐉 Year of the Wood Dragon (Jia Chen Year, 2024)

1. Jie Ouyang, Yucong Luo, Mingyue Cheng*, Shuo Yu, Daoyu Wang, Qi Liu, Enhong Chen, Revisiting the Solution of Meta KDD Cup 2024: CRAG. (KDD Cup Workshop, 2nd Place in Task 2 & Task 3) [Slides] [Poster]
2. Mingyue Cheng, Qi Liu*, Wenyu Zhang, Zhiding Liu, Hongke Zhao, Enhong Chen, A General Tail Item Representation Enhancement Framework for Sequential Recommender Systems, Frontiers of Computer Science (FCS), 2024, 18(6): 1–12. [PDF] [Code]
3. Rujiao Zhang, Hao Zhang, Yucong Luo, Zhiding Liu, Mingyue Cheng, Qi Liu, Enhong Chen*, Learning the Dynamics in Sequential Recommendation by Exploiting Real-time Information, ACM CIKM2024: 4288–4292, Oct 2024. [PDF]
4. Jie Wang, Fajie Yuan, Mingyue Cheng, et al., TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback, APWeb-WAIM2024: 193–208, Aug 2024. [PDF]
5. Zhiding Liu, Jiqian Yang, Mingyue Cheng*, Yucong Luo, Zhi Li, Generative Pretrained Hierarchical Transformer for Time Series Forecasting, ACM SIGKDD2024: 2003–2013, Barcelona, 2024. [PDF]
6. Yucong Luo, Mingyue Cheng, Hao Zhang, Junyu Lu, Enhong Chen*, Unlocking the Potential of Large Language Models for Explainable Recommendations. (DASFAA2024) [PDF] [Code]
7. Junzhe Jiang, Shang Qu, Mingyue Cheng*, Qi Liu, et al., Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling. (DASFAA2024) [PDF] [Code]
8. Mingyue Cheng, Hao Zhang, Qi Liu*, Fajie Yuan, Zhi Li, Zhenya Huang, Enhong Chen, Longfei Li, Jun Zhou, Empowering Sequential Recommender Systems from Mixture of Collaborative Signals and Semantic Relatedness. (DASFAA2024) [PDF] [Code]
9. Hao Zhang, Mingyue Cheng*, Qi Liu, Yucong Luo, Rui Li, Enhong Chen, Learning Recommender Systems with Soft Target: A Decoupled Perspective. DASFAA 2024, LNCS 14852, Gifu, Japan, 2024. [PDF] [Code]
10. Mingyue Cheng, Hao Zhang, Jiqian Yang, Qi Liu*, Li Li, Xin Huang, Liwei Song, Zhi Li, Zhenya Huang, Enhong Chen, Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform. (WWW2024)
11. Junchen Fu, Fajie Yuan, Yu Song, Zheng Yuan, Mingyue Cheng, et al., Exploring Adapter-based Transfer Learning for Recommender Systems, ACM WSDM'2024: 208–217, Mar 2024. [PDF] [Code]

📘 2023 and Before

1. Zhiding Liu, Mingyue Cheng, Zhi Li, Zhenya Huang, Qi Liu, Yanhu Xie, Enhong Chen, Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective, NeurIPS'2023: 36, New Orleans, 2023. [PDF] [Code]
2. 耿杰, 刘春丽*, 魏雪梅, 程明月, 袁昆, 李洋, 刘业政, 基于用户重购行为的产品推荐方法, 计算机研究与发展 2023, 60(8): 1795–1807.
3. Mingyue Cheng, Qi Liu*, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen, FormerTime: Hierarchical Multi-scale Representation for Multivariate Time Series Classification, ACM WWW'2023: 1437–1445, Austin, 2023. [PDF] [Code]
4. Wenqiang He, Mingyue Cheng, Qi Liu*, Zhi Li, ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological Signal Classification, DASFAA'2023: 353–369, Tianjin, 2023.
5. Mingyue Cheng, Zhiding Liu⁺, Qi Liu*, Shenyang Ge, Enhong Chen, Towards Automatic Designing of Deep Hybrid Network Architecture for Sequential Recommendation, ACM WWW'2022: 1923–1932. [Code]
6. Zhiding Liu, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen*, One Person, One Model — Learning Compound Router for Sequential Recommendation, IEEE ICDM'2022. [Code]
7. Junzhe Jiang, Mingyue Cheng, Qi Liu*, Zhi Li, Enhong Chen, Nested Named Entity Recognition from Medical Texts: A Multi-task Learning Approach, CAAI CICAI'2022: 248–259.
8. Runlong Yu, Qi Liu*, Yuyang Ye, Mingyue Cheng, Enhong Chen, Jianhui Ma, Collaborative List-and-Pairwise Filtering from Implicit Feedback, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2022, 34(6): 2667–2680.
9. Kai Zhang, Qi Liu*, Zhenya Huang, Mingyue Cheng, Kun Zhang, Mengdi Zhang, Wei Wu, Enhong Chen, Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification, ACM SIGIR'2022: 1566–1576.
10. Mingyue Cheng, Fajie Yuan⁺, Qi Liu*, Xin Xin, Enhong Chen, Learning Transferrable User Representations with Sequential Behaviors via Contrastive Pre-training, IEEE ICDM'2021: 51–60.
11. Mingyue Cheng, Fajie Yuan⁺, Qi Liu*, Shenyang Ge, Zhi Li, Runlong Yu, Defu Lian, Senchao Yuan, Enhong Chen, Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement, ACM SIGIR'2021: 575–584.
12. Linan Yue, Qi Liu*, Han Wu, Kai Zhang, Yanqing An, Mingyue Cheng, Biao Yin, Dayong Wu, NeurJudge: A Circumstance-aware Neural Framework for Legal Judgment Prediction, ACM SIGIR'2021: 973–982.
13. Yanqing An, Qi Liu*, Han Wu, Kai Zhang, Linan Yue, Mingyue Cheng, Hongke Zhao, Senchao Yuan, Enhong Chen, LawyerPAN: A Proficiency Assessment Network for Trial Lawyers, ACM SIGKDD'2021: 5–13.
14. Mingyue Cheng, Runlong Yu, Qi Liu*, Hongke Zhao, Hefu Zhang, Enhong Chen, Alpha-Beta Sampling for Pairwise Ranking in One-Class Collaborative Filtering, IEEE ICDM'2019: 1000–1005.
15. 程明月, 刘淇*, 李徵, 于润龙, 高维博, 陈恩红, 多重对级贝叶斯个性化排序算法. (南京信息工程大学学报自然科学版, 2019(03): 302–308)