Hi! My name is Li Lin (林丽). I’m currently an Assistant Professor at the School of Computer Science and Engineering in Southeast University.

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 Outline

My research interests lie in the fields of 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

Publications

You can also find the publications on my Google Scholar profile.

2025   Kaiwen Xia, Li Lin, Xinrui Zhang, Haotian Wang, Shuai Wang, Tian He. A Transferable Spatio-temporal Learning Framework for Cross-city Logistics Demand Prediction (SIGKDD) CCF-A

2025   Kaiwen Xia, Li Lin, Shuai Wang, Anqi Zheng, Zhao-Dong Xu, Desheng Zhang, Tian He. H2DGL: Adaptive Metapath-Based Dynamic Graph Learning for Supply Forecasting in Logistics System. (TITS) CCF-B, JCR Q1

2025   Li Lin; Kaiwen Xia; Haotian Shen; Shuai Wang. CoANBR: A Collaborative Aggregation Model for Next Basket Recommendation with Time-independent Sequence Modeling. (DASFAA) CCF-B

2025   Xinwei Li; Li Lin*; Shuai Wang; Hanqian Wu. Seeing Beyond Hallucinations: LLM-based Compositional Information Extraction for Multimodal Reasoning. (SIGIR) CCF-A

2025   Kaiwen Xia, Li Lin*, Shuai Wang, Qi Zhang, Shuai Wang, and Tian He. ProST: Prompt Future Snapshot on Dynamic Graphs for Spatio-Temporal Prediction. (KDD) CCF-A

2025   Shuai Wang; Hai Wang; Li Lin*; Xiaohui Zhao; Tian He; Dian Shen. HPST-GT: Full-Link Delivery Time Estimation Via Heterogeneous Periodic Spatial-Temporal Graph Transformer. (TKDE) CCF-A, JCR Q1

2024   Xinwei Li; Li Lin*; Shuai Wang; Chen Qian; Self-Improving Teacher Cultivates Better Student: Distillation Calibration for Multimodal Large Language Models. (SIGIR) CCF-A

2024   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) CCF-A

2024   Li Lin; Xin Xu; Hai Wang; Tian He; Desheng Zhang; Shuai Wang. DIFN: A Dual Intention-aware Network for Repurchase Recommendation with Hierarchical Spatio-temporal Fusion. (CIKM) CCF-B

2024   Li Lin; Xinyao Chen; Kaiwen Xia; Shuai Wang; Desheng Zhang; Tian He. Hierarchical Information Propagation and Aggregation in Disentangled Graph Networks for Audience Expansion. (CIKM) CCF-B

2024   Li Lin; Zhiqiang Lu; Shuai Wang; Yunhuai Liu; Zhiqing Hong; Haotian Wang; Shuai Wang. MulSTE: A Multi-view Spatio-temporal Learning Framework with Heterogeneous Event Fusion for Demand-supply Prediction. (SIGKDD) CCF-A

2024   Li Lin; Kaiwen Xia; Anqi Zheng; Shijie Hu; Shuai Wang. Hierarchical Spatio-Temporal Graph Learning Based on Metapath Aggregation for Emergency Supply Forecasting. (CIKM) CCF-B

2024   Shuai Wang, Tongtong Kong, Baoshen Guo, Li Lin*, Hai Wang. Hierarchical Spatio-Temporal Graph Learning Based on Metapath Aggregation for Emergency Supply Forecasting. (CIKM) CCF-B

2023   Kaiwen Xia; Li Lin; Shuai Wang; Hai Wang; Desheng Zhang; Tian He. A predict-then-optimize couriers allocation framework for emergency last-mile logistics. (SIGKDD) CCF-A

2023   Zan Zong; Li Lin; Leilei Lin; Lijie Wen; Yu Sun. STR: Hybrid Tensor Re-Generation to Break Memory Wall for DNN Training. (TPDS) CCF-A

Before   Li Lin; Yixin Cao; Lifu Huang; Shu’Ang Li; Xuming Hu; Lijie Wen; Jianmin Wang What Makes the Story Forward? Inferring Commonsense Explanations as Prompts for Future Event Generation(SIGIR) CCF-A

Before   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. (DASFAA) CCF-B

Before   Li Lin; Lijie Wen; Jianmin Wang. MM-Pred: A Deep Predictive Model for Multi-attribute Event Sequence. (SDM) CCF-B

Students

Ph.D (co-advised with Prof. Shuai Wang)

Xingyuan Liang, Kaiwen Xia*, Qi Zhang, Xinrui Zhang, Shengyu Zhang, Haijuan Wang

Master

Minghao Shi, Tenglong Wang, Yuzhi Li, Zhihao Lin, Weiwei Meng, Jingzhe Chen, Yujia Zhan

Undergraduate Students

Qian Long, Yiming Liu, Haotian Shen

Prospective Students

We sincerely welcome interested students! Thanks for your interest in joining our group!