I am also affiliated with the DiTing (Data FusIon and IoT IntelliGence) Lab.
更多信息，欢迎访问我的个人主页。
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年仍有多个硕士招生指标，欢迎对多模态大模型、时空大数据分析以及序列建模等方向感兴趣，数学基础扎实，算法能力过硬的同学联系我！同时欢迎对科研有兴趣的本科生加入我们团队进行科研创新训练！
部分论文列表：
(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)
