A fast and reasonable method for community detection with adjustable extent of overlapping. - Zhihao Wu 001; Youfang Lin; Huaiyu Wan; Shengfeng Tian (ISKE, 2010)

A Community-Based Pseudolikelihood Approach for Relationship Labeling in Social Networks. - Huaiyu Wan; Youfang Lin; Zhihao Wu 001; Houkuan Huang (ECML/PKDD (3), 2011)

Community-Based Relational Markov Networks in Complex Networks. - Huaiyu Wan; Youfang Lin; Caiyan Jia; Houkuan Huang (RSKT, 2011)

Discovering Typed Communities in Mobile Social Networks. - Huaiyu Wan; You-Fang Lin; Zhi-Hao Wu 001; Houkuan Huang (J. Comput. Sci. Technol., 2012)

Balanced Multi-Label Propagation for Overlapping Community Detection in Social Networks. - Zhi-Hao Wu 001; You-Fang Lin; Steve Gregory; Huaiyu Wan; Sheng-Feng Tian (J. Comput. Sci. Technol., 2012)

Inferring High Quality Co-Travel Networks - Youfang Lin; Xuguang Jia; Mingjie Lin; Steve Gregory; Huaiyu Wan; Zhihao Wu 001 (CoRR, 2013)

Discovering Family Groups in Passenger Social Networks. - Huaiyu Wan; Zhi-Wei Wang; You-Fang Lin; Xuguang Jia; Yuan-Wei Zhou (J. Comput. Sci. Technol., 2015)

Inferring the Travel Purposes of Passenger Groups for Better Understanding of Passengers. - Youfang Lin; Huaiyu Wan; Rui Jiang; Zhihao Wu 001; Xuguang Jia (IEEE Trans. Intell. Transp. Syst., 2015)

Extracting relations from traditional Chinese medicine literature via heterogeneous entity networks. - Huaiyu Wan; Marie-Francine Moens; Walter Luyten; Xuezhong Zhou; Qiaozhu Mei; Lu Liu 005; Jie Tang 001 (J. Am. Medical Informatics Assoc., 2016)

Spatio-Temporal Recurrent Convolutional Networks for Citywide Short-term Crowd Flows Prediction. - Wenwei Jin; Youfang Lin; Zhihao Wu 001; Huaiyu Wan (ICCDA, 2018)

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting. - Shengnan Guo 001; Youfang Lin; Ning Feng; Chao Song; Huaiyu Wan (AAAI, 2019)

Improving Relation Classification by Entity Pair Graph. - Yi Zhao; Huaiyu Wan; Jianwei Gao; Youfang Lin (ACML, 2019)

Exploiting the Entity Type Sequence to Benefit Event Detection. - Yuze Ji; Youfang Lin; Jianwei Gao; Huaiyu Wan (CoNLL, 2019)

Learning Time-Aware Distributed Representations of Locations from Spatio-Temporal Trajectories. - Huaiyu Wan; Fuchen Li; Shengnan Guo 001; Zhong Cao; Youfang Lin (DASFAA (3), 2019)

High-Value Prioritized Experience Replay for Off-Policy Reinforcement Learning. - Xi Cao; Huaiyu Wan; Youfang Lin; Sheng Han 001 (ICTAI, 2019)

AMiner: Search and Mining of Academic Social Networks. - Huaiyu Wan; Yutao Zhang; Jing Zhang 001; Jie Tang 001 (Data Intell., 2019)

基于时空循环卷积网络的城市区域人口流量预测 (Citywide Crowd Flows Prediction Based on Spatio-Temporal Recurrent Convolutional Networks). - Shengnan Guo 001; Youfang Lin; Wenwei Jin; Huaiyu Wan (计算机科学, 2019)

Deep Spatial-Temporal 3D Convolutional Neural Networks for Traffic Data Forecasting. - Shengnan Guo 001; Youfang Lin; Shijie Li; Zhaoming Chen; Huaiyu Wan (IEEE Trans. Intell. Transp. Syst., 2019)

Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting. - Chao Song; Youfang Lin; Shengnan Guo 001; Huaiyu Wan (AAAI, 2020)

IEEE Access Special Section Editorial: Advanced Data Mining Methods for Social Computing. - Yongqiang Zhao 001; Shirui Pan; Jia Wu 001; Huaiyu Wan; Huizhi Liang; Haishuai Wang; Huawei Shen (IEEE Access, 2020)

CTS-LSTM: LSTM-based neural networks for correlatedtime series prediction. - Huaiyu Wan; Shengnan Guo 001; Kang Yin; Xiaohui Liang 001; Youfang Lin (Knowl. Based Syst., 2020)

Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction. - Yan Lin 006; Huaiyu Wan; Shengnan Guo 001; Youfang Lin (AAAI, 2021)

GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting. - Beibei Wang; Youfang Lin; Shengnan Guo 001; Huaiyu Wan (AAAI, 2021)

Estimated Time of Arrival Prediction via Modeling the Spatial-Temporal Interactions between Links and Crosses. - Xiaowei Mao; Tianyue Cai; Wenchuang Peng; Huaiyu Wan (SIGSPATIAL/GIS, 2021)

Package Pick-up Route Prediction via Modeling Couriers' Spatial-Temporal Behaviors. - Haomin Wen; Youfang Lin; Fan Wu; Huaiyu Wan; Shengnan Guo 001; Lixia Wu; Chao Song; Yinghui Xu (ICDE, 2021)

HScodeNet: Combining Hierarchical Sequential and Global Spatial Information of Text for Commodity HS Code Classification. - Shaohua Du; Zhihao Wu 001; Huaiyu Wan; Youfang Lin (PAKDD (2), 2021)

AOL4PS: A Large-scale Data Set for Personalized Search. - Qian Guo; Wei Chen 105; Huaiyu Wan (Data Intell., 2021)

Graph2Route: A Dynamic Spatial-Temporal Graph Neural Network for Pick-up and Delivery Route Prediction. - Haomin Wen; Youfang Lin; Xiaowei Mao; Fan Wu; Yiji Zhao; Haochen Wang; Jianbin Zheng 003; Lixia Wu; Haoyuan Hu; Huaiyu Wan (KDD, 2022)

Contrastive Pre-training of Spatial-Temporal Trajectory Embeddings. - Yan Lin 006; Huaiyu Wan; Shengnan Guo 001; Youfang Lin (CoRR, 2022)

Building and exploiting spatial-temporal knowledge graph for next POI recommendation. - Wei Chen 105; Huaiyu Wan; Shengnan Guo 001; Haoyu Huang; Shaojie Zheng; Jiamu Li; Shuohao Lin; Youfang Lin (Knowl. Based Syst., 2022)

Self-attention-based time-variant neural networks for multi-step time series forecasting. - Changxia Gao; Ning Zhang; Youru Li; Feng Bian; Huaiyu Wan (Neural Comput. Appl., 2022)

DeepRoute+: Modeling Couriers' Spatial-temporal Behaviors and Decision Preferences for Package Pick-up Route Prediction. - Haomin Wen; Youfang Lin; Huaiyu Wan; Shengnan Guo 001; Fan Wu; Lixia Wu; Chao Song; Yinghui Xu (ACM Trans. Intell. Syst. Technol., 2022)

Traffic Inflow and Outflow Forecasting by Modeling Intra- and Inter-Relationship Between Flows. - Yiji Zhao; Youfang Lin; Yongkai Zhang; Haomin Wen; Yunxiao Liu; Hao Wu 010; Zhihao Wu 001; Shuaichao Zhang; Huaiyu Wan (IEEE Trans. Intell. Transp. Syst., 2022)

Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting. - Shengnan Guo 001; Youfang Lin; Huaiyu Wan; Xiucheng Li; Gao Cong (IEEE Trans. Knowl. Data Eng., 2022)

Pre-Training Time-Aware Location Embeddings from Spatial-Temporal Trajectories. - Huaiyu Wan; Yan Lin 006; Shengnan Guo 001; Youfang Lin (IEEE Trans. Knowl. Data Eng., 2022)

Contrastive Pre-training with Adversarial Perturbations for Check-In Sequence Representation Learning. - Letian Gong; Youfang Lin; Shengnan Guo 001; Yan Lin 006; Tianyi Wang; Erwen Zheng; Zeyu Zhou 001; Huaiyu Wan (AAAI, 2023)

GMDNet: A Graph-Based Mixture Density Network for Estimating Packages' Multimodal Travel Time Distribution. - Xiaowei Mao; Huaiyu Wan; Haomin Wen; Fan Wu; Jianbin Zheng 003; Yuting Qiang; Shengnan Guo 001; Lixia Wu; Haoyuan Hu; Youfang Lin (AAAI, 2023)

Towards Enhancing Relational Rules for Knowledge Graph Link Prediction. - Shuhan Wu; Huaiyu Wan; Wei Chen 105; Yuting Wu; Junfeng Shen; Youfang Lin (EMNLP (Findings), 2023)

DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models. - Haomin Wen; Youfang Lin; Yutong Xia; Huaiyu Wan; Qingsong Wen; Roger Zimmermann; Yuxuan Liang (SIGSPATIAL/GIS, 2023)

Self-Supervised Spatial-Temporal Bottleneck Attentive Network for Efficient Long-term Traffic Forecasting. - Shengnan Guo 001; Youfang Lin; Letian Gong; Chenyu Wang; Zeyu Zhou 001; Zekai Shen; Yiheng Huang; Huaiyu Wan (ICDE, 2023)

M2G4RTP: A Multi-Level and Multi-Task Graph Model for Instant-Logistics Route and Time Joint Prediction. - Tianyue Cai; Huaiyu Wan; Fan Wu; Haomin Wen; Shengnan Guo 001; Lixia Wu; Haoyuan Hu; Youfang Lin (ICDE, 2023)

Modeling Intra- and Inter-community Information for Route and Time Prediction in Last-mile Delivery. - Yuting Qiang; Haomin Wen; Lixia Wu; Xiaowei Mao; Fan Wu; Huaiyu Wan; Haoyuan Hu (ICDE, 2023)

DRL4Route: A Deep Reinforcement Learning Framework for Pick-up and Delivery Route Prediction. - Xiaowei Mao; Haomin Wen; Hengrui Zhang; Huaiyu Wan; Lixia Wu; Jianbin Zheng 003; Haoyuan Hu; Youfang Lin (KDD, 2023)

WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting. - Yuxin Jia; Youfang Lin; Xinyan Hao; Yan Lin 006; Shengnan Guo 001; Huaiyu Wan (NeurIPS, 2023)

Generative-Contrastive-Attentive Spatial-Temporal Network for Traffic Data Imputation. - Wenchuang Peng; Youfang Lin; Shengnan Guo 001; Weiwen Tang; Le Liu; Huaiyu Wan (PAKDD (4), 2023)

DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models. - Haomin Wen; Youfang Lin; Yutong Xia; Huaiyu Wan; Roger Zimmermann; Yuxuan Liang (CoRR, 2023)

LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry. - Lixia Wu; Haomin Wen; Haoyuan Hu; Xiaowei Mao; Yutong Xia; Ergang Shan; Jianbin Zheng 003; Junhong Lou; Yuxuan Liang; Liuqing Yang 001; Roger Zimmermann; Youfang Lin; et al. (CoRR, 2023)

Exploiting global context and external knowledge for distantly supervised relation extraction. - Jianwei Gao; Huaiyu Wan; Youfang Lin (Knowl. Based Syst., 2023)

Enough Waiting for the Couriers: Learning to Estimate Package Pick-up Arrival Time from Couriers' Spatial-Temporal Behaviors. - Haomin Wen; Youfang Lin; Fan Wu; Huaiyu Wan; Zhongxiang Sun; Tianyue Cai; Hongyu Liu 003; Shengnan Guo 001; Jianbin Zheng 003; Chao Song; Lixia Wu (ACM Trans. Intell. Syst. Technol., 2023)

Spatial-Temporal Position-Aware Graph Convolution Networks for Traffic Flow Forecasting. - Yiji Zhao; Youfang Lin; Haomin Wen; Tonglong Wei; Xiyuan Jin; Huaiyu Wan (IEEE Trans. Intell. Transp. Syst., 2023)

Origin-Destination Travel Time Oracle for Map-based Services. - Yan Lin 006; Huaiyu Wan; Jilin Hu; Shengnan Guo 001; Bin Yang 002; Youfang Lin; Christian S. Jensen (Proc. ACM Manag. Data, 2023)

Adversarial self-attentive time-variant neural networks for multi-step time series forecasting. - Changxia Gao; Ning Zhang; Youru Li; Yan Lin 006; Huaiyu Wan (Expert Syst. Appl., 2023)

Multi-scale adaptive attention-based time-variant neural networks for multi-step time series forecasting. - Changxia Gao; Ning Zhang; Youru Li; Yan Lin 006; Huaiyu Wan (Appl. Intell., 2023)

Modeling Spatial-Temporal Constraints and Spatial-Transfer Patterns for Couriers' Package Pick-up Route Prediction. - Haomin Wen; Youfang Lin; Yuxuan Hu; Fan Wu; Mingxuan Xia; Xinyi Zhang; Lixia Wu; Haoyuan Hu; Huaiyu Wan (IEEE Trans. Intell. Transp. Syst., 2023)

KPatch: Knowledge Patch to Pre-trained Language Model for Zero-Shot Stance Detection on Social Media. - Shuohao Lin; Wei Chen 105; Yunpeng Gao; Zhishu Jiang; Mengqi Liao; Zhiyu Zhang; Shuyuan Zhao; Huaiyu Wan (LREC/COLING, 2024)

Local-Global History-Aware Contrastive Learning for Temporal Knowledge Graph Reasoning. - Wei Chen 105; Huaiyu Wan; Yuting Wu; Shuyuan Zhao; Jiayaqi Cheng; Yuxin Li; Youfang Lin (ICDE, 2024)

LaDe: The First Comprehensive Last-mile Express Dataset from Industry. - Lixia Wu; Haomin Wen; Haoyuan Hu; Xiaowei Mao; Yutong Xia; Ergang Shan; Jianbin Zheng 003; Junhong Lou; Yuxuan Liang; Liuqing Yang 001; Roger Zimmermann; Youfang Lin; et al. (KDD, 2024)

DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data. - Hanyang Chen; Yang Jiang 005; Shengnan Guo 001; Xiaowei Mao; Youfang Lin; Huaiyu Wan (NeurIPS, 2024)

Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models. - Letian Gong; Yan Lin 006; Xinyue Zhang; Yiwen Lu; Xuedi Han; Yichen Liu 003; Shengnan Guo 001; Youfang Lin; Huaiyu Wan (NeurIPS, 2024)

PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting. - Yuxin Jia; Youfang Lin; Jing Yu; Shuo Wang 031; Tianhao Liu; Huaiyu Wan (NeurIPS, 2024)

GTM: General Trajectory Modeling with Auto-regressive Generation of Feature Domains. - Yan Lin 006; Jilin Hu; Shengnan Guo 001; Bin Yang 002; Christian S. Jensen; Youfang Lin; Huaiyu Wan (CoRR, 2024)

Diff-RNTraj: A Structure-aware Diffusion Model for Road Network-constrained Trajectory Generation. - Tonglong Wei; Youfang Lin; Shengnan Guo 001; Yan Lin 006; Yiheng Huang; Chenyang Xiang; Yuqing Bai; Menglu Ya; Huaiyu Wan (CoRR, 2024)

OverleafCopilot: Empowering Academic Writing in Overleaf with Large Language Models. - Haomin Wen; Zhenjie Wei; Yan Lin 006; Jiyuan Wang 001; Yuxuan Liang; Huaiyu Wan (CoRR, 2024)

PLM4Traj: Cognizing Movement Patterns and Travel Purposes from Trajectories with Pre-trained Language Models. - Zeyu Zhou 001; Yan Lin 006; Haomin Wen; Shengnan Guo 001; Jilin Hu; Youfang Lin; Huaiyu Wan (CoRR, 2024)

STD-LLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with LLMs. - Yiheng Huang; Xiaowei Mao; Shengnan Guo 001; Yubin Chen; Youfang Lin; Huaiyu Wan (CoRR, 2024)

UniTE: A Survey and Unified Pipeline for Pre-training ST Trajectory Embeddings. - Yan Lin 006; Zeyu Zhou 001; Yichen Liu 003; Haochen Lv 001; Haomin Wen; Tianyi Li 005; Yushuai Li; Christian S. Jensen; Shengnan Guo 001; Youfang Lin; Huaiyu Wan (CoRR, 2024)

PTrajM: Efficient and Semantic-rich Trajectory Learning with Pretrained Trajectory-Mamba. - Yan Lin 006; Yichen Liu 003; Zeyu Zhou 001; Haomin Wen; Erwen Zheng; Shengnan Guo 001; Youfang Lin; Huaiyu Wan (CoRR, 2024)

TrajFM: A Vehicle Trajectory Foundation Model for Region and Task Transferability. - Yan Lin 006; Tonglong Wei; Zeyu Zhou 001; Haomin Wen; Jilin Hu; Shengnan Guo 001; Youfang Lin; Huaiyu Wan (CoRR, 2024)

PTR: A Pre-trained Language Model for Trajectory Recovery. - Tonglong Wei; Yan Lin 006; Youfang Lin; Shengnan Guo 001; Jilin Hu; Gao Cong; Huaiyu Wan (CoRR, 2024)

Mobility-LLM: Learning Visiting Intentions and Travel Preferences from Human Mobility Data with Large Language Models. - Letian Gong; Yan Lin 006; Xinyue Zhang; Yiwen Lu; Xuedi Han; Yichen Liu 003; Shengnan Guo 001; Youfang Lin; Huaiyu Wan (CoRR, 2024)

An Experimental Evaluation of Imputation Models for Spatial-Temporal Traffic Data. - Shengnan Guo 001; Tonglong Wei; Yiheng Huang; Miaomiao Zhao; Ran Chen; Yan Lin 006; Youfang Lin; Huaiyu Wan (CoRR, 2024)

DRL4AOI: A DRL Framework for Semantic-aware AOI Segmentation in Location-Based Services. - Youfang Lin; Jinji Fu; Haomin Wen; Jiyuan Wang 001; Zhenjie Wei; Yuting Qiang; Xiaowei Mao; Lixia Wu; Haoyuan Hu; Yuxuan Liang; Huaiyu Wan (CoRR, 2024)

STKDRec: Spatial-Temporal Knowledge Distillation for Takeaway Recommendation. - Shuyuan Zhao; Wei Chen 105; Boyan Shi; Liyong Zhou; Shuohao Lin; Huaiyu Wan (CoRR, 2024)

CognTKE: A Cognitive Temporal Knowledge Extrapolation Framework. - Wei Chen 105; Yuting Wu; Shuhan Wu; Zhiyu Zhang; Mengqi Liao; Youfang Lin; Huaiyu Wan (CoRR, 2024)

Inductive and adaptive graph convolution networks equipped with constraint task for spatial-temporal traffic data kriging. - Tonglong Wei; Youfang Lin; Shengnan Guo 001; Yan Lin 006; Yiji Zhao; Xiyuan Jin; Zhihao Wu 001; Huaiyu Wan (Knowl. Based Syst., 2024)

Spatial-temporal uncertainty-aware graph networks for promoting accuracy and reliability of traffic forecastin. - Xiyuan Jin; Jing Wang 060; Shengnan Guo 001; Tonglong Wei; Yiji Zhao; Youfang Lin; Huaiyu Wan (Expert Syst. Appl., 2024)

PVII: A pedestrian-vehicle interactive and iterative prediction framework for pedestrian's trajectory. - Qianwen Shen; Shien Huang; Baixi Sun; Xinyu Chen; Dingwen Tao; Huaiyu Wan; Ergude Bao (Appl. Intell., 2024)

Micro-Macro Spatial-Temporal Graph-Based Encoder-Decoder for Map-Constrained Trajectory Recovery. - Tonglong Wei; Youfang Lin; Yan Lin 006; Shengnan Guo 001; Lan Zhang; Huaiyu Wan (IEEE Trans. Knowl. Data Eng., 2024)

Spatial-Temporal Cross-View Contrastive Pre-Training for Check-in Sequence Representation Learning. - Letian Gong; Huaiyu Wan; Shengnan Guo 001; Xiucheng Li; Yan Lin 006; Erwen Zheng; Tianyi Wang; Zeyu Zhou 001; Youfang Lin (IEEE Trans. Knowl. Data Eng., 2024)

Pre-Training General Trajectory Embeddings With Maximum Multi-View Entropy Coding. - Yan Lin 006; Huaiyu Wan; Shengnan Guo 001; Jilin Hu; Christian S. Jensen; Youfang Lin (IEEE Trans. Knowl. Data Eng., 2024)

Diff-RNTraj: A Structure-Aware Diffusion Model for Road Network-Constrained Trajectory Generation. - Tonglong Wei; Youfang Lin; Shengnan Guo 001; Yan Lin 006; Yiheng Huang; Chenyang Xiang; Yuqing Bai; Huaiyu Wan (IEEE Trans. Knowl. Data Eng., 2024)

A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects. - Haomin Wen; Youfang Lin; Lixia Wu; Xiaowei Mao; Tianyue Cai; Yunfeng Hou; Shengnan Guo 001; Yuxuan Liang; Guangyin Jin; Yiji Zhao; Roger Zimmermann; Jieping Ye; et al. (IEEE Trans. Knowl. Data Eng., 2024)

CognTKE: A Cognitive Temporal Knowledge Extrapolation Framework. - Wei Chen 015; Yuting Wu; Shuhan Wu; Zhiyu Zhang; Mengqi Liao; Youfang Lin; Huaiyu Wan (AAAI, 2025)

STD-PLM: Understanding Both Spatial and Temporal Properties of Spatial-Temporal Data with PLM. - Yiheng Huang; Xiaowei Mao; Shengnan Guo 001; Yubin Chen; Junfeng Shen; Tiankuo Li; Youfang Lin; Huaiyu Wan (AAAI, 2025)

DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation. - Xiaowei Mao; Yan Lin 006; Shengnan Guo 001; Yubin Chen; Xingyu Xian; Haomin Wen; Qisen Xu; Youfang Lin; Huaiyu Wan (AAAI, 2025)

Spatial-Temporal Knowledge Distillation for Takeaway Recommendation. - Shuyuan Zhao; Wei Chen 105; Boyan Shi; Liyong Zhou; Shuohao Lin; Huaiyu Wan (AAAI, 2025)

A Generative Adaptive Replay Continual Learning Model for Temporal Knowledge Graph Reasoning. - Zhiyu Zhang; Wei Chen 105; Youfang Lin; Huaiyu Wan (ACL (1), 2025)

HMoRA: Making LLMs More Effective with Hierarchical Mixture of LoRA Experts. - Mengqi Liao; Wei Chen 015; Junfeng Shen; Shengnan Guo 001; Huaiyu Wan (ICLR, 2025)

UniTE: A Survey and Unified Pipeline for Pre-Training Spatiotemporal Trajectory Embeddings. - Yan Lin 006; Zeyu Zhou 001; Yichen Liu 003; Haochen Lv 001; Haomin Wen; Tianyi Li 005; Yushuai Li; Christian S. Jensen; Shengnan Guo 001; Youfang Lin; Huaiyu Wan (IEEE Trans. Knowl. Data Eng., 2025)

Towards An Efficient and Effective En Route Travel Time Estimation Framework. - Zekai Shen; Haitao Yuan; Xiaowei Mao; Congkang Lv; Shengnan Guo 001; Youfang Lin; Huaiyu Wan (CoRR, 2025)

STCDM: Spatio-Temporal Contrastive Diffusion Model for Check-In Sequence Generation. - Letian Gong; Shengnan Guo 001; Yan Lin 006; Yichen Liu 003; Erwen Zheng; Yiwei Shuang; Youfang Lin; Jilin Hu; Huaiyu Wan (IEEE Trans. Knowl. Data Eng., 2025)

TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability. - Tonglong Wei; Yan Lin 006; Zeyu Zhou 001; Haomin Wen; Jilin Hu; Shengnan Guo 001; Youfang Lin; Gao Cong; Huaiyu Wan (CoRR, 2025)

Enhancing Efficiency and Exploration in Reinforcement Learning for LLMs. - Mengqi Liao; Xiangyu Xi; Ruinian Chen; Jia Leng; Yangen Hu; Ke Zeng; Shuai Liu; Huaiyu Wan (CoRR, 2025)

Next-POI Recommendation via Spatial-Temporal Knowledge Graph Contrastive Learning and Trajectory Prompt. - Wei Chen 105; Haoyu Huang; Zhiyu Zhang; Tianyi Wang; Youfang Lin; Liang Chang 003; Huaiyu Wan (IEEE Trans. Knowl. Data Eng., 2025)

UVTM: Universal Vehicle Trajectory Modeling With ST Feature Domain Generation. - Yan Lin 006; Jilin Hu; Shengnan Guo 001; Bin Yang 002; Christian S. Jensen; Youfang Lin; Huaiyu Wan (IEEE Trans. Knowl. Data Eng., 2025)