林丽 (Li Lin)
Assistant Professor
DiTing (Data FusIon and IoT IntelliGence) Lab
Email：linli321@seu.edu.cn
Room 508, School of Computer Science and Engineering
Education：
Ph.D in School of Software, Tsinghua University, 2022
B.S. in Department of Computer Science and Technology, Xi’an Jiaotong University, 2016
Research:
My research interests lie in sequential modeling, multimodal learning, and reasoning on LLMs. 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！
Selected Publications：
Xinwei Li, Li Lin*, Shuai Wang, Chen Qian, Self-Improving Teacher Cultivates Better Student: Distillation Calibration for Multimodal Large Language Models. SIGIR 2024 （CCF-A）
Zhiyuan Zhou, Li Lin*, Hai Wang, Xiaolei Zhou, Gong Wei, Shuai Wang, A Cross Domain Method for Customer Lifetime Value Prediction in Supply Chain Platform. WWW 2024 （CCF-A）
Kaiwen Xia, Li Lin, Shuai Wang, Haotian Wang, Desheng Zhang, Tian He, A predict-then-optimize couriers allocation framework for emergency last-mile logistics. KDD 2023 （CCF-A）
Lin, Li; Cao, Yixin; Huang, Lifu; Li, Shuang; Hu, Xuming; Wen, Lijie; Wang, Jianmin; What Makes the Story Forward? Inferring Commonsense Explanations as Prompts for Future Event Generation. SIGIR 2022. （CCF-A）
Lin, Li; Zong, Zan; Wen, Lijie; Qian, Chen; Li, Shuang; Wang, Jianmin; MM-CPred: A Multi-task Predictive Model for Continuous-Time Event Sequences with Mixture Learning Losses. DASFAA 2020. （CCF-B）
Lin, Li; Wen, Lijie; Wang, Jianmin; Mm-pred: A deep predictive model for multi-attribute event sequence. SDM 2019. （CCF-B）
Wang, Huaqing; Wen, Lijie; Lin, Li; Wang, Jianmin; RLRecommender: a representation-learning-based recommendation method for business process modeling. ICSOC 2018. （CCF-B）
Qian, Chen; Feng, Fuli; Wen, Lijie; Lin, Li; Chua, Tat-Seng; Enhancing text classification via discovering additional semantic clues from logograms. SIGIR 2021. （CCF-A）
Wen, Lijie; Zong, Zan; Lin, Li; Lin, Leilei; A Swap Dominated Tensor Re-Generation Strategy for Training Deep Learning Models. IPDPS 2021. （CCF-B）
Li, Shu'ang; Hu, Xuming; Lin, Li; Wen, Lijie; Pair-level supervised contrastive learning for natural language inference. ICASSP 2022. （CCF-B）
Liu, Aiwei; Hu, Xuming; Lin, Li; Wen, Lijie; Semantic Enhanced Text-to-SQL Parsing via Iteratively Learning Schema Linking Graph. KDD 2022. （CCF-A）
