| 2026 | AAAI | OneSug: The Unified End-to-End Generative Framework for E-commerce Query Suggestion. | Xian Guo, Ben Chen, Siyuan Wang, Ying Yang, Mingyue Cheng, Chenyi Lei, Yuqing Ding, Han Li |
| 2026 | AAAI | From Hypothesis to Premises: LLM-based Backward Logical Reasoning with Selective Symbolic Translation. | Qingchuan Li, Mingyue Cheng, Zirui Liu, Daoyu Wang, Yuting Zeng, Tongxuan Liu |
| 2026 | AAAI | BLADE: A Behavior-Level Data Augmentation Framework with Dual Fusion Modeling for Multi-Behavior Sequential Recommendation. | Yupeng Li, Mingyue Cheng, Yucong Luo, Yitong Zhou, Qingyang Mao, Shijin Wang |
| 2026 | ACL | Re³: Relevance & Recency Retrieval for Mitigating Temporal Hallucination. | Jiawei Cao, Jie Ouyang, Mingyue Cheng, Zhaomeng Zhou, Chunli Liu, Yupeng Li, Zirui Liu, Shijin Wang |
| 2026 | DASFAA | FlowRec: Prior-Informed Flow Matching for Efficient Sequential Recommendation Generation. | Li Li, Mingyue Cheng, Yuyang Ye, Zhiding Liu, Enhong Chen |
| 2026 | WWW | Are LLMs Stable Formal Logic Translators in Logical Reasoning Across Linguistically Diversified Texts? | Qingchuan Li, Jiatong Li, Zirui Liu, Mingyue Cheng, Yitong Zhou, Yuting Zeng, Qi Liu, Tongxuan Liu |
| 2026 | WWW | Towards Context-aware Reasoning-enhanced Generative Searching in E-commerce. | Zhiding Liu, Ben Chen, Mingyue Cheng, Enhong Chen, Li Li, Chenyi Lei, Wenwu Ou, Han Li, Kun Gai |
| 2026 | WWW | MemWeaver: A Hierarchical Memory from Textual Interactive Behaviors for Personalized Generation. | Shuo Yu, Mingyue Cheng, Daoyu Wang, Qi Liu, Zirui Liu, Ze Guo, Xiaoyu Tao |
| 2026 | WWW | STaR: Towards Effective and Stable Table Reasoning via Slow-Thinking Large Language Models. | Huajian Zhang, Mingyue Cheng, Yucong Luo, Xiaoyu Tao |
| 2026 | WSDM | TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders. | Mingyue Cheng, Xiaoyu Tao, Zhiding Liu, Qi Liu, Hao Zhang, Rujiao Zhang, Enhong Chen |
| 2026 | WSDM | Can Slow-Thinking LLMs Reason Over Time? Empirical Studies in Time Series Forecasting. | Mingyue Cheng, Jiahao Wang, Daoyu Wang, Xiaoyu Tao, Qi Liu, Enhong Chen |
| 2026 | WSDM | TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning. | Chuang Jiang, Mingyue Cheng, Xiaoyu Tao, Qingyang Mao, Jie Ouyang, Qi Liu |
| 2025 | ACL | HoH: A Dynamic Benchmark for Evaluating the Impact of Outdated Information on Retrieval-Augmented Generation. | Jie Ouyang, Tingyue Pan, Mingyue Cheng, Ruiran Yan, Yucong Luo, Jiaying Lin, Qi Liu |
| 2025 | ACL | TestAgent: An Adaptive and Intelligent Expert for Human Assessment. | Junhao Yu, Yan Zhuang, Yuxuan Sun, Weibo Gao, Qi Liu, Mingyue Cheng, Zhenya Huang, Enhong Chen |
| 2025 | CIKM | Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study. | Shuo Yu, Mingyue Cheng, Qi Liu, Daoyu Wang, Jiqian Yang, Jie Ouyang, Yucong Luo, Chenyi Lei, Enhong Chen |
| 2025 | CIKM | TableTime: Reformulating Time Series Classification as Training-Free Table Understanding with Large Language Models. | Jiahao Wang, Mingyue Cheng, Qingyang Mao, Yitong Zhou, Daoyu Wang, Qi Liu, Feiyang Xu, Xin Li |
| 2025 | ICML | 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 |
| 2025 | ICML | TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation. | Daoyu Wang, Mingyue Cheng, Zhiding Liu, Qi Liu |
| 2025 | IJCAI | A Hybrid Multi-Factor Network with Dynamic Sequence Modeling for Early Warning of Intraoperative Hypotension. | Mingyue Cheng, Jintao Zhang, Zhiding Liu, Chunli Liu |
| 2025 | IJCAI | Conditional Denoising Meets Polynomial Modeling: A Flexible Decoupled Framework for Time Series Forecasting. | Jintao Zhang, Mingyue Cheng, Xiaoyu Tao, Zhiding Liu, Daoyu Wang |
| 2025 | IJCAI | Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems. | Hao Zhang, Mingyue Cheng, Zhiding Liu, Junzhe Jiang |
| 2025 | IJCAI | 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 |
| 2025 | RecSys | Lasso: Large Language Model-based User Simulator for Cross-Domain Recommendation. | Yue Chen, Susen Yang, Tong Zhang, Chao Wang, Mingyue Cheng, Chenyi Lei, Han Li |
| 2025 | RecSys | Tag-augmented Dual-target Cross-domain Recommendation. | Mingfan Pan, Qingyang Mao, Xu An, Jianhui Ma, Gang Zhou, Mingyue Cheng, Enhong Chen |
| 2025 | WWW | ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis. | Mingyue Cheng, Jiqian Yang, Tingyue Pan, Qi Liu, Zhi Li, Shijin Wang |
| 2025 | WSDM | Cross-Domain Pre-training with Language Models for Transferable Time Series Representations. | Mingyue Cheng, Xiaoyu Tao, Qi Liu, Hao Zhang, Yiheng Chen, Defu Lian |
| 2025 | WSDM | InstrucTime: Advancing Time Series Classification with Multimodal Language Modeling. | Mingyue Cheng, Yiheng Chen, Qi Liu, Zhiding Liu, Yucong Luo, Enhong Chen |
| 2024 | APWEB | TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback. | Jie Wang, Fajie Yuan, Mingyue Cheng, Joemon M. Jose, Chenyun Yu, Beibei Kong, Zhijin Wang, Bo Hu, Zang Li |
| 2024 | CIKM | Learning the Dynamics in Sequential Recommendation by Exploiting Real-time Information. | Rujiao Zhang, Hao Zhang, Yucong Luo, Zhiding Liu, Mingyue Cheng, Qi Liu, Enhong Chen |
| 2024 | DASFAA | Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness. | Mingyue Cheng, Hao Zhang, Qi Liu, Fajie Yuan, Zhi Li, Zhenya Huang, Enhong Chen, Jun Zhou, Longfei Li |
| 2024 | DASFAA | Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling. | Junzhe Jiang, Shang Qu, Mingyue Cheng, Qi Liu, Zhiding Liu, Hao Zhang, Rujiao Zhang, Kai Zhang, Rui Li, Jiatong Li, Min Gao |
| 2024 | DASFAA | Unlocking the Potential of Large Language Models for Explainable Recommendations. | Yucong Luo, Mingyue Cheng, Hao Zhang, Junyu Lu, Enhong Chen |
| 2024 | DASFAA | Learning Recommender Systems with Soft Target: A Decoupled Perspective. | Hao Zhang, Mingyue Cheng, Qi Liu, Yucong Luo, Rui Li, Enhong Chen |
| 2024 | INFOCOM | Demo: A Non-invasive and High-speed Molecular Communication Testbed with Capacitive Sensing. | Yu Huang, Xuewei Huang, Fei Ji, Mingyue Cheng, Xuan Chen, Miaowen Wen |
| 2024 | KDD | Generative Pretrained Hierarchical Transformer for Time Series Forecasting. | Zhiding Liu, Jiqian Yang, Mingyue Cheng, Yucong Luo, Zhi Li |
| 2024 | WWW | Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform. | Mingyue Cheng, Hao Zhang, Jiqian Yang, Qi Liu, Li Li, Xin Huang, Liwei Song, Zhi Li, Zhenya Huang, Enhong Chen |
| 2024 | WSDM | Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights. | Junchen Fu, Fajie Yuan, Yu Song, Zheng Yuan, Mingyue Cheng, Shenghui Cheng, Jiaqi Zhang, Jie Wang, Yunzhu Pan |
| 2023 | DASFAA | ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological Signal Classification. | Wenqiang He, Mingyue Cheng, Qi Liu, Zhi Li |
| 2023 | ICDE | Collaborative List-and-Pairwise Filtering from Implicit Feedback : Extended Abstract. | Runlong Yu, Qi Liu, Yuyang Ye, Mingyue Cheng, Enhong Chen, Jianhui Ma |
| 2023 | WWW | FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification. | Mingyue Cheng, Qi Liu, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen |
| 2022 | ICDM | One Person, One Model - Learning Compound Router for Sequential Recommendation. | Zhiding Liu, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen |
| 2022 | WWW | Towards Automatic Discovering of Deep Hybrid Network Architecture for Sequential Recommendation. | Mingyue Cheng, Zhiding Liu, Qi Liu, Shenyang Ge, Enhong Chen |
| 2022 | SIGIR | Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification. | Kai Zhang, Qi Liu, Zhenya Huang, Mingyue Cheng, Kun Zhang, Mengdi Zhang, Wei Wu, Enhong Chen |
| 2021 | ICDM | Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-training. | Mingyue Cheng, Fajie Yuan, Qi Liu, Xin Xin, Enhong Chen |
| 2021 | KDD | LawyerPAN: A Proficiency Assessment Network for Trial Lawyers. | Yanqing An, Qi Liu, Han Wu, Kai Zhang, Linan Yue, Mingyue Cheng, Hongke Zhao, Enhong Chen |
| 2021 | SIGIR | Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement. | Mingyue Cheng, Fajie Yuan, Qi Liu, Shenyang Ge, Zhi Li, Runlong Yu, Defu Lian, Senchao Yuan, Enhong Chen |
| 2021 | SIGIR | NeurJudge: A Circumstance-aware Neural Framework for Legal Judgment Prediction. | Linan Yue, Qi Liu, Binbin Jin, Han Wu, Kai Zhang, Yanqing An, Mingyue Cheng, Biao Yin, Dayong Wu |
| 2019 | ICDM | Alpha-Beta Sampling for Pairwise Ranking in One-Class Collaborative Filtering. | Mingyue Cheng, Runlong Yu, Qi Liu, Vincent W. Zheng, Hongke Zhao, Hefu Zhang, Enhong Chen |