FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification. - Mingyue Cheng; Qi Liu 003; Zhiding Liu; Zhi Li 057; Yucong Luo; Enhong Chen (WWW, 2023)

Unlocking the Potential of Large Language Models for Explainable Recommendations. - Yucong Luo; Mingyue Cheng; Hao Zhang 088; Junyu Lu; Qi Liu 003; Enhong Chen (CoRR, 2023)

Learning the Dynamics in Sequential Recommendation by Exploiting Real-time Information. - Rujiao Zhang; Hao Zhang 088; Yucong Luo; Zhiding Liu; Mingyue Cheng; Qi Liu 003; Enhong Chen (CIKM, 2024)

Unlocking the Potential of Large Language Models for Explainable Recommendations. - Yucong Luo; Mingyue Cheng; Hao Zhang 088; Junyu Lu; Enhong Chen (DASFAA (5), 2024)

Learning Recommender Systems with Soft Target: A Decoupled Perspective. - Hao Zhang 088; Mingyue Cheng; Qi Liu 003; Yucong Luo; Rui Li 093; Enhong Chen (DASFAA (3), 2024)

Generative Pretrained Hierarchical Transformer for Time Series Forecasting. - Zhiding Liu; Jiqian Yang; Mingyue Cheng; Yucong Luo; Zhi Li 057 (KDD, 2024)

Advancing Time Series Classification with Multimodal Language Modeling. - Mingyue Cheng; Yiheng Chen; Qi Liu; Zhiding Liu; Yucong Luo (CoRR, 2024)

Revisiting the Solution of Meta KDD Cup 2024: CRAG. - Jie Ouyang; Yucong Luo; Mingyue Cheng; Daoyu Wang; Shuo Yu; Qi Liu 003; Enhong Chen (CoRR, 2024)

Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification. - Xiaoyu Tao 001; Tingyue Pan; Mingyue Cheng; Yucong Luo (CoRR, 2024)

Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation. - Yucong Luo; Qitao Qin; Hao Zhang 088; Mingyue Cheng; Ruiran Yan; Kefan Wang; Jie Ouyang (CoRR, 2024)

HoH: A Dynamic Benchmark for Evaluating the Impact of Outdated Information on Retrieval-Augmented Generation.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 (ACL (1), 2025)

Towards Adaptive Memory-Based Optimization for Enhanced Retrieval-Augmented Generation. - Qitao Qin; Yucong Luo; Yihang Lu; Zhibo Chu; Xiaoman Liu; Xianwei Meng (ACL (Findings), 2025)

GEAR: Generalized Alternating Regressor for Multi-Behavior Sequential Recommendation. - Junzhe Jiang 001; Kai Zhang 038; Junfeng Kang; Yucong Luo; Min Gao (SIGIR, 2025)

InstrucTime: Advancing Time Series Classification with Multimodal Language Modeling. - Mingyue Cheng; Yiheng Chen; Qi Liu 003; Zhiding Liu; Yucong Luo; Enhong Chen (WSDM, 2025)

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 003 (CoRR, 2025)

A Survey on Knowledge-Oriented Retrieval-Augmented Generation. - Mingyue Cheng; Yucong Luo; Jie Ouyang; Qi Liu 003; Huijie Liu; Li Li; Shuo Yu; Bohou Zhang; Jiawei Cao; Jie Ma; Daoyu Wang; Enhong Chen (CoRR, 2025)

Towards Adaptive Memory-Based Optimization for Enhanced Retrieval-Augmented Generation. - Qitao Qin; Yucong Luo; Yihang Lu; Zhibo Chu; Xianwei Meng (CoRR, 2025)

Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs. - Yucong Luo; Yitong Zhou; Mingyue Cheng; Jiahao Wang; Daoyu Wang; Tingyue Pan; Jintao Zhang (CoRR, 2025)

Benchmarking Multimodal LLMs on Recognition and Understanding over Chemical Tables. - Yitong Zhou; Mingyue Cheng; Qingyang Mao; Yucong Luo; Qi Liu 003; Yupeng Li; Xiaohan Zhang; Deguang Liu; Xin Li 064; Enhong Chen (CoRR, 2025)

DARTS: A Dual-View Attack Framework for Targeted Manipulation in Federated Sequential Recommendation. - Qitao Qin; Yucong Luo; Zhibo Chu (CoRR, 2025)