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Yucong Luo
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2020 – today
- 2024
- [c3]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. CIKM 2024: 4288-4292 - [c2]Zhiding Liu, Jiqian Yang, Mingyue Cheng, Yucong Luo, Zhi Li:
Generative Pretrained Hierarchical Transformer for Time Series Forecasting. KDD 2024: 2003-2013 - [i8]Zhiding Liu, Jiqian Yang, Mingyue Cheng, Yucong Luo, Zhi Li:
Generative Pretrained Hierarchical Transformer for Time Series Forecasting. CoRR abs/2402.16516 (2024) - [i7]Mingyue Cheng, Yiheng Chen, Qi Liu, Zhiding Liu, Yucong Luo:
Advancing Time Series Classification with Multimodal Language Modeling. CoRR abs/2403.12371 (2024) - [i6]Qitao Qin, Yucong Luo, Mingyue Cheng, Qingyang Mao, Chenyi Lei:
DV-FSR: A Dual-View Target Attack Framework for Federated Sequential Recommendation. CoRR abs/2409.07500 (2024) - [i5]Jie Ouyang, Yucong Luo, Mingyue Cheng, Daoyu Wang, Shuo Yu, Qi Liu, Enhong Chen:
Revisiting the Solution of Meta KDD Cup 2024: CRAG. CoRR abs/2409.15337 (2024) - [i4]Hao Zhang, Mingyue Cheng, Qi Liu, Yucong Luo, Rui Li, Enhong Chen:
Learning Recommender Systems with Soft Target: A Decoupled Perspective. CoRR abs/2410.06536 (2024) - [i3]Xiaoyu Tao, Tingyue Pan, Mingyue Cheng, Yucong Luo:
Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification. CoRR abs/2410.18686 (2024) - 2023
- [c1]Mingyue Cheng, Qi Liu, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen:
FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification. WWW 2023: 1437-1445 - [i2]Mingyue Cheng, Qi Liu, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen:
FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification. CoRR abs/2302.09818 (2023) - [i1]Yucong Luo, Mingyue Cheng, Hao Zhang, Junyu Lu, Qi Liu, Enhong Chen:
Unlocking the Potential of Large Language Models for Explainable Recommendations. CoRR abs/2312.15661 (2023)
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last updated on 2024-12-02 21:28 CET by the dblp team
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