Yucong Luo

30 papers A* 5A 3Journal 18Unranked 4
YearRankTypeTitle / Venue / Authors
2026 A* conf
BLADE: A Behavior-Level Data Augmentation Framework with Dual Fusion Modeling for Multi-Behavior Sequential Recommendation.
AAAI
Yupeng Li, Mingyue Cheng, Yucong Luo, Yitong Zhou, Qingyang Mao, Shijin Wang
2026 A* conf
STaR: Towards Effective and Stable Table Reasoning via Slow-Thinking Large Language Models.
WWW
Huajian Zhang, Mingyue Cheng, Yucong Luo, Xiaoyu Tao
2025 J jnl
A Survey on Knowledge-Oriented Retrieval-Augmented Generation.
CoRR
Mingyue Cheng, Yucong Luo, Jie Ouyang, Qi Liu, Huijie Liu, Li Li, Shuo Yu, Bohou Zhang, Jiawei Cao, Jie Ma, Daoyu Wang, Enhong Chen
2025 J jnl
Agent-R1: Training Powerful LLM Agents with End-to-End Reinforcement Learning.
CoRR
Mingyue Cheng, Jie Ouyang, Shuo Yu, Ruiran Yan, Yucong Luo, Zirui Liu, Daoyu Wang, Qi Liu, Enhong Chen
2025 J jnl
BLADE: A Behavior-Level Data Augmentation Framework with Dual Fusion Modeling for Multi-Behavior Sequential Recommendation.
CoRR
Yupeng Li, Mingyue Cheng, Yucong Luo, Yitong Zhou, Qingyang Mao, Shijin Wang
2025 J jnl
Benchmarking Multimodal LLMs on Recognition and Understanding over Chemical Tables.
CoRR
Yitong Zhou, Mingyue Cheng, Qingyang Mao, Yucong Luo, Qi Liu, Yupeng Li, Xiaohan Zhang, Deguang Liu, Xin Li, Enhong Chen
2025 J jnl
DARTS: A Dual-View Attack Framework for Targeted Manipulation in Federated Sequential Recommendation.
CoRR
Qitao Qin, Yucong Luo, Zhibo Chu
2025 A* conf
GEAR: Generalized Alternating Regressor for Multi-Behavior Sequential Recommendation.
SIGIR
Junzhe Jiang, Kai Zhang, Junfeng Kang, Yucong Luo, Min Gao
2025 — conf
HoH: A Dynamic Benchmark for Evaluating the Impact of Outdated Information on Retrieval-Augmented Generation.
ACL (1)
Jie Ouyang, Tingyue Pan, Mingyue Cheng, Ruiran Yan, Yucong Luo, Jiaying Lin, Qi Liu
2025 J jnl
HoH: A Dynamic Benchmark for Evaluating the Impact of Outdated Information on Retrieval-Augmented Generation.
CoRR
Jie Ouyang, Tingyue Pan, Mingyue Cheng, Ruiran Yan, Yucong Luo, Jiaying Lin, Qi Liu
2025 A conf
InstrucTime: Advancing Time Series Classification with Multimodal Language Modeling.
WSDM
Mingyue Cheng, Yiheng Chen, Qi Liu, Zhiding Liu, Yucong Luo, Enhong Chen
2025 A conf
Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study.
CIKM
Shuo Yu, Mingyue Cheng, Qi Liu, Daoyu Wang, Jiqian Yang, Jie Ouyang, Yucong Luo, Chenyi Lei, Enhong Chen
2025 J jnl
OneCast: Structured Decomposition and Modular Generation for Cross-Domain Time Series Forecasting.
CoRR
Tingyue Pan, Mingyue Cheng, Shilong Zhang, Zhiding Liu, Xiaoyu Tao, Yucong Luo, Jintao Zhang, Qi Liu
2025 J jnl
STaR: Towards Cognitive Table Reasoning via Slow-Thinking Large Language Models.
CoRR
Huajian Zhang, Mingyue Cheng, Yucong Luo, Xiaoyu Tao
2025 J jnl
Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs.
CoRR
Yucong Luo, Yitong Zhou, Mingyue Cheng, Jiahao Wang, Daoyu Wang, Tingyue Pan, Jintao Zhang
2025 — conf
Towards Adaptive Memory-Based Optimization for Enhanced Retrieval-Augmented Generation.
ACL (Findings)
Qitao Qin, Yucong Luo, Yihang Lu, Zhibo Chu, Xiaoman Liu, Xianwei Meng
2025 J jnl
Towards Adaptive Memory-Based Optimization for Enhanced Retrieval-Augmented Generation.
CoRR
Qitao Qin, Yucong Luo, Yihang Lu, Zhibo Chu, Xianwei Meng
2024 J jnl
Advancing Time Series Classification with Multimodal Language Modeling.
CoRR
Mingyue Cheng, Yiheng Chen, Qi Liu, Zhiding Liu, Yucong Luo
2024 A* conf
Generative Pretrained Hierarchical Transformer for Time Series Forecasting.
KDD
Zhiding Liu, Jiqian Yang, Mingyue Cheng, Yucong Luo, Zhi Li
2024 J jnl
Generative Pretrained Hierarchical Transformer for Time Series Forecasting.
CoRR
Zhiding Liu, Jiqian Yang, Mingyue Cheng, Yucong Luo, Zhi Li
2024 J jnl
Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification.
CoRR
Xiaoyu Tao, Tingyue Pan, Mingyue Cheng, Yucong Luo
2024 — conf
Learning Recommender Systems with Soft Target: A Decoupled Perspective.
DASFAA (3)
Hao Zhang, Mingyue Cheng, Qi Liu, Yucong Luo, Rui Li, Enhong Chen
2024 J jnl
Learning Recommender Systems with Soft Target: A Decoupled Perspective.
CoRR
Hao Zhang, Mingyue Cheng, Qi Liu, Yucong Luo, Rui Li, Enhong Chen
2024 A conf
Learning the Dynamics in Sequential Recommendation by Exploiting Real-time Information.
CIKM
Rujiao Zhang, Hao Zhang, Yucong Luo, Zhiding Liu, Mingyue Cheng, Qi Liu, Enhong Chen
2024 J jnl
Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation.
CoRR
Yucong Luo, Qitao Qin, Hao Zhang, Mingyue Cheng, Ruiran Yan, Kefan Wang, Jie Ouyang
2024 J jnl
Revisiting the Solution of Meta KDD Cup 2024: CRAG.
CoRR
Jie Ouyang, Yucong Luo, Mingyue Cheng, Daoyu Wang, Shuo Yu, Qi Liu, Enhong Chen
2024 — conf
Unlocking the Potential of Large Language Models for Explainable Recommendations.
DASFAA (5)
Yucong Luo, Mingyue Cheng, Hao Zhang, Junyu Lu, Enhong Chen
2023 A* conf
FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification.
WWW
Mingyue Cheng, Qi Liu, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen
2023 J jnl
FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification.
CoRR
Mingyue Cheng, Qi Liu, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen
2023 J jnl
Unlocking the Potential of Large Language Models for Explainable Recommendations.
CoRR
Yucong Luo, Mingyue Cheng, Hao Zhang, Junyu Lu, Qi Liu, Enhong Chen