I am also affiliated with the DiTing (Data FusIon and IoT IntelliGence) Lab.
更多信息，歡迎訪問我的個人主頁。
In particular, I am interested in multimodel LLMs and focusing on:
- Reasoning and Efficient Prompting on LLMs
- Multimodal Prediction and Decision-making
- Sequential Forecasting and Generation
2025年仍有多個碩士招生指标，歡迎對多模态大模型、時空大數據分析以及序列建模等方向感興趣，數學基礎紮實，算法能力過硬的同學聯系我！同時歡迎對科研有興趣的本科生加入我們團隊進行科研創新訓練！
部分論文列表：
(1) Li Lin; Lijie Wen; Jianmin Wang; MM-Pred: A Deep Predictive Model for Multi-attribute Event Sequence, SIAM International Conference on Data Mining (SDM19)
(2) Li Lin; Yixin Cao; Lifu Huang; Shu'Ang Li; Xuming Hu; Lijie Wen; Jianmin Wang ; What Makes the Story Forward?, The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’22)
(3) Li Lin; Zan Zong; Lijie Wen; Chen Qian; Shuang Li; Jianmin Wang ; MM-CPred: A Multi-task Predictive Model for Continuous-Time Event Sequences with Mixture Learning Losses, The 26th International Conference on Database Systems for Advanced Applications (DASFAA 2021)
(4) Xinwei Li; Li Lin*; Shuai Wang; Chen Qian; Self-Improving Teacher Cultivates Better Student: Distillation Calibration for Multimodal Large Language Models, The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’24)
(5) Zhiyuan Zhou, Li Lin*, Hai Wang, Xiaolei Zhou, Gong Wei, and Shuai Wang. 2024. A Cross-Domain Method for Customer Lifetime Value Prediction in Supply Chain Platform[C]// In Proceedings of the ACM Web Conference 2024 (WWW ’24)
