Yucong Luo

According to our database, Yucong Luo authored at least 9 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification.

Xiaoyu Tao, Tingyue Pan, Mingyue Cheng, Yucong Luo

CoRR, 2024

Learning Recommender Systems with Soft Target: A Decoupled Perspective.

Hao Zhang, Mingyue Cheng, Qi Liu, Yucong Luo, Rui Li, Enhong Chen

CoRR, 2024

Revisiting the Solution of Meta KDD Cup 2024: CRAG.

Jie Ouyang, Yucong Luo, Mingyue Cheng, Daoyu Wang, Shuo Yu, Qi Liu, Enhong Chen

CoRR, 2024

DV-FSR: A Dual-View Target Attack Framework for Federated Sequential Recommendation.

Qitao Qin, Yucong Luo, Mingyue Cheng, Qingyang Mao, Chenyi Lei

CoRR, 2024

Advancing Time Series Classification with Multimodal Language Modeling.

Mingyue Cheng, Yiheng Chen, Qi Liu, Zhiding Liu, Yucong Luo

CoRR, 2024

Generative Pretrained Hierarchical Transformer for Time Series Forecasting.

Zhiding Liu, Jiqian Yang, Mingyue Cheng, Yucong Luo, Zhi Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

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

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Unlocking the Potential of Large Language Models for Explainable Recommendations.

Yucong Luo, Mingyue Cheng, Hao Zhang, Junyu Lu, Qi Liu, Enhong Chen

CoRR, 2023

FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification.

Mingyue Cheng, Qi Liu, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen

Proceedings of the ACM Web Conference 2023, 2023