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.
DiSGMM: A Method for Time-varying Microscopic Weight Completion on Road Networks
Yan Lin, Hu Jilin, Shengnan Guo, Christian S. Jensen, Youfang Lin, Huaiyu Wan
TrajAR: Long-Term Trajectory Prediction at Urban Intersections via Multi-scale Interaction Perception
Letian Gong*, Yan Lin*, Xinyue Zhang, YiWei Shuang, Guanyu Yao, Cheng Long, Shengnan Guo, Youfang Lin, Huaiyu Wan
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
TrajMamba: An Efficient and Semantic-rich Vehicle Trajectory Pre-training Model
Yichen Liu*, Yan Lin*, Shengnan Guo, Zeyu Zhou, Youfang Lin, Huaiyu Wan
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
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
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
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
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
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
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
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
Origin-Destination Travel Time Oracle for Map-based Services
Yan Lin, Huaiyu Wan, Jilin Hu, Shengnan Guo, Bin Yang, Christian S. Jensen, Youfang Lin
Pre-training General Trajectory Embeddings with Maximum Multi-view Entropy Coding
Yan Lin, Huaiyu Wan, Shengnan Guo, Jilin Hu, Christian S. Jensen, Youfang Lin
Pre-training Time-Aware Location Embeddings from Spatial-Temporal Trajectories
Huaiyu Wan, Yan Lin, 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.
Low-Rank Prior-Induced Consistency Flow Matching for Efficient Traffic Imputation
Xiaowei Mao, Tingrui Wu, YangYawen, Shengnan Guo, Yan Lin, Shilong Zhao, Haochen Lv, Youfang Lin, Huaiyu Wan
G-VTM: A Multimodal Vision-Trajectory Model for Generalized Vehicle Trajectory Prediction
Xinyue Zhang, Letian Gong, Yan Lin, Jinjun Cheng, Junlin Zhang, Guanyu Yao, Shengnan Guo, Youfang Lin, Shaojiang Wang, Huaiyu Wan
ForceTraj: Modeling Realistic Intention and Heterogeneous Interactions for Multi-modal Trajectory Prediction
Guanyu Yao, Yan Lin, Letian Gong, Xinyue Zhang, Yiwei Shuang, Shengnan Guo, Huaiyu Wan
Traj-MLLM: Can Multimodal Large Language Models Reform Trajectory Data Mining?
Shuo Liu, Di Yao, Yan Lin, Gao Cong, Jingping Bi
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
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
DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting
Xiangfei Qiu, Xingjian Wu, Yan Lin, Chenjuan Guo, Jilin Hu, Bin Yang
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
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
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
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
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
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
Adversarial Self-Attentive Time-Variant Neural Networks for Multi-Step Time Series Forecasting
Changxia Gao, Ning Zhang, Youru Li, Yan Lin, Huaiyu Wan
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
* Equal Contribution