Publications

Publications where I am the first, co-first, or lead student author. For each work, I contribute significantly to some or all of the following: problem formulation, algorithm design, paper drafting and revision, code implementation, and experimental evaluation.

KDD | 2026
Preprint
RIPCN: A Road Impedance Principal Component Network for Probabilistic Traffic Flow Forecasting

Haochen Lv*, Yan Lin*, Shengnan Guo, Xiaowei Mao, Hong Nie, Letian Gong, Youfang Lin, Huaiyu Wan

NeurIPS | 2025
Poster
TrajMamba: An Efficient and Semantic-rich Vehicle Trajectory Pre-training Model

Yichen Liu*, Yan Lin*, Shengnan Guo, Zeyu Zhou, Youfang Lin, Huaiyu Wan

NeurIPS | 2025
Oral Poster Preprint
TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability

Tonglong Wei*, Yan Lin*, Zeyu Zhou, Haomin Wen, Jilin Hu, Shengnan Guo, Youfang Lin, Gao Cong, Huaiyu Wan

NeurIPS | 2025
Poster Preprint
PLMTrajRec: A Scalable and Generalizable Trajectory Recovery Method with Pre-trained Language Models

Tonglong Wei*, Yan Lin*, Youfang Lin, Shengnan Guo, Jilin Hu, Haitao Yuan, Gao Cong, Huaiyu Wan

IEEE TKDE | 2025
Code Paper Preprint
UVTM: Universal Vehicle Trajectory Modeling with ST Feature Domain Generation

Yan Lin, Jilin Hu, Shengnan Guo, Bin Yang, Christian S. Jensen, Youfang Lin, Huaiyu Wan

IJCAI | 2025
Paper Preprint Code
TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories

Zeyu Zhou*, Yan Lin*, Haomin Wen, Shengnan Guo, Jilin Hu, Youfang Lin, Huaiyu Wan

IEEE TKDE | 2025
Preprint Code Paper
UniTE: A Survey and Unified Pipeline for Pre-training Spatiotemporal Trajectory Embeddings

Yan Lin, Zeyu Zhou, Yicheng Liu, Haochen Lv, Haomin Wen, Tianyi Li, Yushuai Li, Christian S. Jensen, Shengnan Guo, Youfang Lin, Huaiyu Wan

WWW | 2025
Paper Code
Path-LLM: A Multi-Modal Path Representation Learning by Aligning and Fusing with Large Language Models

Yongfu Wei*, Yan Lin*, Hongfan Gao, Ronghui Xu, Sean Bin Yang, Jilin Hu

AAAI | 2025
Paper Preprint
DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation

Xiaowei Mao*, Yan Lin*, Shengnan Guo, Yubin Chen, Xingyu Xian, Haomin Wen, Qisen Xu, Youfang Lin, Huaiyu Wan

NeurIPS | 2024
Paper Poster
Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models

Letian Gong*, Yan Lin*, Xinyue Zhang, Yiwen Lu, Xuedi Han, Yichen Liu, Shengnan Guo, Youfang Lin, Huaiyu Wan

SIGMOD | 2024
Paper Preprint Code
Origin-Destination Travel Time Oracle for Map-based Services

Yan Lin, Huaiyu Wan, Jilin Hu, Shengnan Guo, Bin Yang, Christian S. Jensen, Youfang Lin

IEEE TKDE | 2023
Code Paper Preprint
Pre-training General Trajectory Embeddings with Maximum Multi-view Entropy Coding

Yan Lin, Huaiyu Wan, Shengnan Guo, Jilin Hu, Christian S. Jensen, Youfang Lin

IEEE TKDE | 2022
Paper Code
Pre-training Time-Aware Location Embeddings from Spatial-Temporal Trajectories

Huaiyu Wan, Yan Lin, Shengnan Guo, Youfang Lin

AAAI | 2021
Code Paper
Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction

Yan Lin, Huaiyu Wan, Shengnan Guo, Youfang Lin

Publications where I serve as a contributing author. My involvement in these works typically includes technical discussion, algorithm refinement, or contribution to experiments and writing.

KDD | 2026
Preprint
Traj-MLLM: Can Multimodal Large Language Models Reform Trajectory Data Mining?

Shuo Liu, Di Yao, Yan Lin, Gao Cong, Jingping Bi

AAAI | 2026
Paper Preprint
SculptDrug: A Spatial Condition-Aware Bayesian Flow Model for Structure-based Drug Design

Qingsong Zhong, Haomin Yu, Yan Lin, Wangmeng Shen, Long Zeng, Jilin Hu

AAAI | 2026
Preprint Paper
Spatial-Temporal Feedback Diffusion Guidance for Controlled Traffic Imputation

Xiaowei Mao, Huihu Ding, Yan Lin, Tingrui Wu, Shengnan Guo, Dazhuo Qiu, Feiling Fang, Jilin Hu, Huaiyu Wan

KDD | 2025
Paper Preprint Code
DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting

Xiangfei Qiu, Xingjian Wu, Yan Lin, Chenjuan Guo, Jilin Hu, Bin Yang

IEEE TKDE | 2024
Preprint Code Paper
Diff-RNTraj: A Structure-aware Diffusion Model for Road Network-constrained Trajectory Generation

Tonglong Wei, Youfang Lin, Shengnan Guo, Yan Lin, Yiheng Huang, Chenyang Xiang, Yuqing Bai, Menglu Ya, Huaiyu Wan

IEEE TKDE | 2024
Paper
STCDM: Spatio-Temporal Contrastive Diffusion Model for Check-In Sequence Generation

Letian Gong, Shengnan Guo, Yan Lin, Yichen Liu, Erwen Zheng, Yiwei Shuang, Youfang Lin, Jilin Hu, Huaiyu Wan

IEEE TKDE | 2024
Paper Preprint Code
Micro-Macro Spatial-Temporal Graph-based Encoder-Decoder for Map-Constrained Trajectory Recovery

Tonglong Wei, Youfang Lin, Yan Lin, Shengnan Guo, Lan Zhang, Huaiyu Wan

KBS | 2024
Paper Code
Inductive and Adaptive Graph Convolution Networks Equipped with Constraint Task for Spatial-Temporal Traffic Data Kriging

Tonglong Wei, Youfang Lin, Shengnan Guo, Yan Lin, Yiji Zhao, Xiyuan Jin, Zhihao Wu, Huaiyu Wan

IEEE TKDE | 2024
Paper Preprint
Spatial-Temporal Cross-View Contrastive Pre-Training for Check-in Sequence Representation Learning

Letian Gong, Huaiyu Wan, Shengnan Guo, Li Xiucheng, Yan Lin, Erwen Zheng, Tianyi Wang, Zeyu Zhou, Youfang Lin

AAAI | 2023
Paper Code
Contrastive Pre-training with Adversarial Perturbations for Check-In Sequence Representation Learning

Letian Gong, Youfang Lin, Shengnan Guo, Yan Lin, Tianyi Wang, Erwen Zheng, Zeyu Zhou, Huaiyu Wan

ESWA | 2023
Paper
Adversarial Self-Attentive Time-Variant Neural Networks for Multi-Step Time Series Forecasting

Changxia Gao, Ning Zhang, Youru Li, Yan Lin, Huaiyu Wan

APIN | 2023
Paper
Multi-scale Adaptive Attention-based Time-Variant Neural Networks for Multi-step Time Series Forecasting

Changxia Gao, Ning Zhang, Youru Li, Yan Lin, Huaiyu Wan

NeurIPS | 2023
Paper Code
WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting

Yuxin Jia, Youfang Lin, Xinyan Hao, Yan Lin, Shengnan Guo, Huaiyu Wan

* Equal Contribution