Publications

Full publication list of Mingyue Cheng. (* Corresponding Author, + Equal Contribution)

Filter by topic:

(* Corresponding Author, + Equal Contribution)

๐Ÿ“˜ Preprint

  1. Mingyue Cheng, Xiaoyu Tao, Qi Liu, Ze Guo, Enhong Chen, Position: Beyond Model-Centric Prediction โ€” Agentic Time Series Forecasting. (Preprint) [PDF]
  2. 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. (Preprint) [PDF] [Code]
  3. 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]
  4. 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]
  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. (Preprint) [PDF] [Code]
  6. Xiaoyu Tao, Yuchong Wu, Mingyue Cheng, Ze Guo, Tian Gao, AnomaMind: Agentic Time Series Anomaly Detection with Tool-Augmented Reasoning. (Preprint) [PDF]
  7. 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]
  8. 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. (Preprint) [PDF]
  9. 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]

๐Ÿ“˜ 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]
  3. 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. (Preprint) [PDF] [Code]
  4. 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. (Preprint) [PDF] [Code]

๐ŸŽ Year of the Fire Horse (Bing Wu Year, 2026)

  1. Mingyue Cheng, Xiaoyu Tao, Huajian Zhang, Qi Liu*, Enhong Chen, InstructTime++: Time Series Classification with Multimodal Language Modeling via Implicit Feature Enhancement. ACM TIST Accepted. [PDF] [Code]
  2. 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]
  3. Yaguo Liu, Mingyue Cheng*, Daoyu Wang, Xiaoyu Tao, Qi Liu, CoGenCast: A Coupled Autoregressive-Flow Generative Framework for Time Series Forecasting. ICML2026 Accepted. [PDF]
  4. 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]
  5. Bohou Zhang, Xiaoyu Tao+, Mingyue Cheng*, Huijie Liu, Qi Liu, ScholarSum: Student-Teacher Abstractive Summarization via Knowledge Graph Reasoning and Reflective Refinement. IJCAI2026 Accepted.
  6. 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.
  7. Huajian Zhang, Mingyue Cheng*, Yucong Luo, Xiaoyu Tao, STaR: Towards Cognitive Table Reasoning via Slow-Thinking Large Language Models. ACM WWW2026. [PDF] [Code]
  8. 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]
  9. 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]
  10. Qingchuan Li, Jiatong Li, Zirui Liu, Mingyue Cheng, Yitong Zhou, Yuting Zeng, Qi Liu and Tongxuan Liu, Are LLMs Stable Formal Logic Translators in Logical Reasoning Across Linguistically Diversified Texts?. ACM WWW2026.
  11. Li Li, Mingyue Cheng*, Yuyang Ye, Zhiding Liu, Enhong Chen, Preference Trajectory Modeling via Flow Matching for Sequential Recommendation. DASFAA2026.
  12. 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: 99โ€“110, Feb 2026. [PDF] [Code]
  13. 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: 498โ€“508, Feb 2026. [arXiv version] [ACM version] [Code]
  14. 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: 260โ€“270, Feb 2026. [PDF] [Code]
  15. Qingyang Mao, Qi Liu, Zhi Li, Mingyue Cheng, Zheng Zhang, Rui Li, PoTable: Programming Standardly on Table-based Reasoning Like a Human Analyst. IEEE TKDE Accepted. [PDF]
  16. Jie Ouyang, Yucong Luo, Mingyue Cheng, Daoyu Wang, Shuo Yu, Qi Liu, Enhong Chen, Routing-Based RAG for Dynamic Question Answering: Lessons from Meta KDD Cup 2024 CRAG. FCS Accepted.
  17. 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: 31671โ€“31679, Mar 2026. [PDF] [DOI]
  18. 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: 15189โ€“15197, Mar 2026. [PDF] [DOI]
  19. Xian Guo, Ben Chen, Siyuan Wang, Ying Yang, Mingyue Cheng, Chenyi Lei, Yuqing Ding, Han Li, OneSug: The Unified End-to-End Generative Framework for E-commerce Query Suggestion. AAAI2026: 14774โ€“14782, Mar 2026. [PDF] [DOI]
  20. Zirui Liu, Xianquan Wang, Yan Zhuang, Jiatong Li, Qi Liu, Shuanghong Shen, Mingyue Cheng, Shijin Wang, Fewer Battles, More Gain: An Information-Efficient Framework for Arena-based LLM Evaluation. ICLR2026. [PDF]
  21. Qingyang Mao, Qi Cai, Yehao Li, Yingwei Pan, Mingyue Cheng, Ting Yao, Qi Liu, Tao Mei, Visual Autoregressive Modeling for Instruction-Guided Image Editing. ICLR2026. [PDF]
  22. Ruisong Han, Jiahao Zhang, Guofeng Zhang, Mingyue Cheng, Changqing Zhang, Zongbo Han, Retrieval-augmented prompt for out-of-distribution detection. Pattern Recognition, 179: 113779, Nov 2026. [DOI]

๐Ÿ 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] โ€” 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 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): 792โ€“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: 175โ€“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: 6036โ€“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: 4923โ€“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: 6993โ€“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: 2503โ€“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: 3624โ€“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.
  13. Zhiding Liu, Mingyue Cheng, Guanhao Zhao, Jiqian Yang, Qi Liu, Enhong Chen, Improving Time Series Forecasting via Instance-aware Post-hoc Revision. (NeurIPS2025) [PDF]
  14. Huijie Liu, Shulan Ruan, Qi Liu, Mingyue Cheng, Zhenya Huang, Yu Liu, Enhong Chen, You He, Global Structure-aware and Feature-augmented Graph Neural Network for Heterophilic Graphs, ACM TOIS. [PDF]
  15. Junhao Yu, Yan Zhuang, Yuxuan Sun, Weibo Gao, Qi Liu, Mingyue Cheng, Zhenya Huang, Enhong Chen, TestAgent: An Adaptive and Intelligent Expert for Human Assessment. (ACL2025) [PDF]
  16. Zirui Liu, Jiatong Li, Yan Zhuang, Qi Liu, Shuanghong Shen, Jie Ouyang, Mingyue Cheng, Shijin Wang, am-ELO: A Stable Framework for Arena-based LLM Evaluation, ICML 2025, PMLR 267, 2025. [PDF]
  17. Mingfan Pan, Qingyang Mao, Xu An, Jianhui Ma, Gang Zhou, Mingyue Cheng, Enhong Chen, Tag-augmented Dual-target Cross-domain Recommendation, RecSys 2025, Prague, 2025.
  18. Yue Chen, Susen Yang, Tong Zhang, Chao Wang, Mingyue Cheng, Chenyi Lei, Han Li, Lasso: Large Language Model-based User Simulator for Cross-Domain Recommendation, RecSys 2025, Prague, 2025.

๐Ÿ‰ 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, Frontier of Computer Science (FCS), 2024, 18(6): 1โ€“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: 4288โ€“4292, Oct 2024. [PDF]
  4. Jie Wang, Fajie Yuan, Mingyue Cheng, et al., TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback, APWeb-WAIM2024: 193โ€“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: 2003โ€“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: 208โ€“217, Mar 2024. [PDF] [Code]

๐Ÿ“˜ 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. ่€ฟๆฐ, ๅˆ˜ๆ˜ฅไธฝ*, ้ญ้›ชๆข…, ็จ‹ๆ˜Žๆœˆ, ่ขๆ˜†, ๆŽๆด‹, ๅˆ˜ไธšๆ”ฟ, ๅŸบไบŽ็”จๆˆท้‡่ดญ่กŒไธบ็š„ไบงๅ“ๆŽจ่ๆ–นๆณ•, ่ฎก็ฎ—ๆœบ็ ”็ฉถไธŽๅ‘ๅฑ• 2023, 60(8): 1795โ€“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: 1437โ€“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: 353โ€“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: 1923โ€“1932. [Code]
  6. Zhiding Liu, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen*, One Person, One Model โ€” 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: 248โ€“259.
  8. Runlong Yu, Qi Liu*, Yuyang Ye, Mingyue Cheng, Enhong Chen, Jianhui Ma, Collaborative List-and-Pairwise Filtering from Implicit Feedback, IEEE TKDE'2022: 34(6): 2667โ€“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: 1566โ€“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: 51โ€“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: 575โ€“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: 973โ€“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: 5โ€“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: 1000โ€“1005.
  15. ็จ‹ๆ˜Žๆœˆ, ๅˆ˜ๆท‡*, ๆŽๅพต, ไบŽๆถฆ้พ™, ้ซ˜็ปดๅš, ้™ˆๆฉ็บข, ๅคš้‡ๅฏน็บง่ดๅถๆ–ฏไธชๆ€งๅŒ–ๆŽ’ๅบ็ฎ—ๆณ•. (ๅ—ไบฌไฟกๆฏๅทฅ็จ‹ๅคงๅญฆๅญฆๆŠฅ่‡ช็„ถ็ง‘ๅญฆ็‰ˆ, 2019(03): 302โ€“308)