Associate Professor
Leilei Sun
孙磊磊
Associate Professor and Postgraduate Supervisor of the School of Computer Science and Technology, Beihang University. He received his bachelor’s degree in Engineering in 2009, master’s degree in 2012, and Ph.D. in 2017 from Dalian University of Technology. He visited and studied at Rutgers, The State University of New Jersey in the United States from September 2015 to August 2016 as a national public scholar. He conducted postdoctoral research at Tsinghua University from March 2017 to April 2019. His main research direction is machine learning and data mining, including deep spatio-temporal learning networks, graph neural networks, time series data analysis and mining, etc. He has published more than 60 academic papers in international top journals and conferences in the field of data mining, including more than 30 CCF-A level journals/conference papers. He serves as a program committee member of international academic conferences such as KDD, AAAI, IJCAI, SIGIR, CIKM, WWW, WSDM, and KSEM, and as a reviewer of international academic journals such as TKDE, PAMI, TKDD, and TITS. He is the host of the key project of the “New Generation of Artificial Intelligence” major project of the Ministry of Science and Technology’s Science and Technology Innovation 2030 plan, the National Natural Science Foundation of China’s general project “Research and Application of Dynamic Graph Representation Learning”, the National Natural Science Foundation of China’s youth fund “Generalized Spatio-temporal Data Analysis and Mining”, the Youth Top-notch Talent Support Project of Beijing University of Aeronautics and Astronautics “Dynamic Evolutionary Prediction Model for Smart Transportation”, and has participated in more than 10 national and provincial key projects such as the National Natural Science Foundation Joint Fund and the Ministry of Science and Technology’s Key R&D Program. His research results have been well applied in departments such as the National Road Network Center, and won the Special Award of the 2021 China Highway Society Science and Technology Award. He has been awarded the honorary titles of “Excellent Class Tutor” and “Excellent Academic Tutor”, and has repeatedly guided doctoral/master’s students to win the “National Scholarship”. He has guided undergraduate science competitions, won one first prize and three second prizes of the “Feng Ru Cup”, and was named an “Excellent Guidance Teacher of the Feng Ru Cup” competition.
Publications
Influence-aware Dynamic Graph Learning for Popularity Prediction
Yumeng Zhou, Mingzhe Liu, Leilei Sun, Xuejie Xu, Liangzhe Han, Tongyu Zhu
Large-scale Human Mobility Data Regeneration for Open Urban Research
Ruixing Zhang, Yunqi Liu, Liangzhe Han, Leilei Sun, Charles Liu, Jibin Wang, Weifeng Lv
MobLLM: Bridging Human Mobility Patterns and Large Language Models for Enhanced Urban Geospatial Intelligence in Transportation Systems
Yi Xu, Ziqi Miao, Tongyu Zhu, Liangzhe Han, Jibin Wang, and Leilei Sun
Position-Aware Neighbor Aggregation for Dynamic Link Prediction
Yumeng Zhou, Mingzhe Liu, Leilei Sun, Yifei Huang, Liangzhe Han, Charles Liu, Tongyu Zhu
Urban In-context Learning: A New Paradigm for Urban Indicator Prediction
Zerong Deng, Liangzhe Han, Tongyu Zhu, Ziqi Miao, Yi Xu, Leilei Sun
Evolving graph structure learning for multivariate time series forecasting
Junchen Ye, Qian Liu, Zihan Liu, Weimiao Li, Tongyu Zhu, Leilei Sun, Bowen Du
Adaptive Sampling-based Dynamic Graph Learning for Information Diffusion Prediction
Xiaodong Lu, Mingzhe Liu, Tongyu Zhu, Leilei Sun, Jibin Wang, Weifeng Lv, Yikun Ban, Deqing Wang
Dual-mask: Progressively sparse multi-task architecture learning
Jiejie Zhao, Tongyu Zhu, Leilei Sun, Bowen Du, Haiquan Wang, Lei Huang
SimPRL: A Simple Contrastive Learning for Path Representation Learning by Joint GPS Trajectories and Road Paths
Tianxi Liao, Xuxiang Ta, Yi Xu, Liangzhe Han, Leilei Sun, Weifeng Lv
Behavior Tokens Speak Louder: Disentangled Explainable Recommendation with Behavior Vocabulary
Xinshun Feng, Mingzhe Liu, Yi Qiao, Tongyu Zhu, Leilei Sun, Shuai Wang
SigFormer: A Transformer for Signaling Data Augmentation via Location Reconstruction
Mingzhe Liu, Haiyang Jiang, Tongyu Zhu, Leilei Sun, Jibin Wang, Hao Sheng
Evaluating LLMs on Pure Graph Structures: Benchmarks with Multiscale Graph Tasks and Structure-Based Prompt Improvements
Mingzhe Liu, Jiarui Liu, Tongyu Zhu, Leilei Sun
Towards Urban Semantic Cognition: Investigating the Capability of LLMs in Understanding Urban Areas
Mingzhe Liu, Zihang Xu, Kangting Xu, Tongyu Zhu, Leilei Sun
LLMs-Empowered Retrieval on Text-Attributed Graphs
Yifei Huang, Mingzhe Liu, Leilei Sun, Tongyu Zhu, Weifeng Lv
JiuTian·Chuanliu: A Large Spatiotemporal Model for General-purpose Dynamic Urban Sensing
Liangzhe Han, Leilei Sun, Tongyu Zhu, Tao Tao, Jibin Wang, Weifeng Lv
Memory-enhanced hierarchical and temporal semantic learning for multi-label patent classification
Xuejie Xu, Yi Xu, Ziqi Miao, Jian Huang, Leilei Sun
Generating Evolving Region Embedding with Memory-based Graph for Dynamic Urban Sensing
Yi Xu, Zerong Deng, Tongyu Zhu, Liangzhe Han, Leilei Sun, Zhuo Chen, Hao Sheng
TS-MAE: A Masked Autoencoder for Time Series Representation Learning
Qian Liu, Junchen Ye, Haohan Liang, Leilei Sun, Bowen Du
Robust Trajectory Similarity Learning for Mobile Phone Signaling Data via Contrastive Augmentation
Jiashu Zhang, Ruixing Zhang, Tongyu Zhu, Leilei Sun
Adaptive Taxonomy Learning and Historical Patterns Modeling for Patent Classification
Tao Zou, Le Yu, Junchen Ye, Leilei Sun, Bowen Du, Deqing Wang
Hierarchical Context Representation and Self-adaptive Thresholding for Multivariate Anomaly Detection
Chunming Lin, Bowen Du, Leilei Sun, Linchao Li
Learning joint 2-d and 3-d graph diffusion models for complete molecule generation
Han Huang, Leilei Sun, Bowen Du, Weifeng Lv
MemMap: An Adaptive and Latent Memory Structure for Dynamic Graph Learning
Shuo Ji, Mingzhe Liu, Leilei Sun, Chuanren Liu, Tongyu Zhu
Multi-Faceted Route Representation Learning for Travel Time Estimation
Tianxi Liao, Liangzhe Han, Yi Xu, Tongyu Zhu, Leilei Sun, Bowen Du
Community-Based Prompt Learning on Temporal Information Graph
Yumeng Zhou, Mingzhe Liu, Yi Xu, Jiarui Liu, Leilei Sun
Co-Neighbor Encoding Schema: A Light-cost Structure Encoding Method for Dynamic Link Prediction
Ke Cheng, Linzhi Peng, Junchen Ye, Leilei Sun, Bowen Du
DyGKT: Dynamic Graph Learning for Knowledge Tracing
Ke Cheng, Linzhi Peng, Pengyang Wang, Junchen Ye, Leilei Sun, Bowen Du
An NCDE-based Framework for Universal Representation Learning of Time Series
Zihan Liu, Bowen Du, Junchen Ye, Xianqing Wen, Leilei Sun
A Data-Driven Optimization Framework for Static Rebalancing Operations in Bike Sharing Systems
Junming Liu, Weiwei Chen, Leilei Sun
Temporal Graph Network for continuous-time dynamic event sequence
Ke Cheng, Junchen Ye, Xiaodong Lu, Leilei Sun, Bowen Du
MFGCN: Multi-faceted spatial and temporal specific graph convolutional network for traffic-flow forecasting
Jingwen Tian, Liangzhe Han, Mao Chen, Yi Xu, Zhuo Chen, Tongyu Zhu, Leilei Sun, Weifeng Lv
Temporal-aware structure-semantic-coupled graph network for traffic forecasting
Mao Chen, Liangzhe Han, Yi Xu, Tongyu Zhu, Jibin Wang, Leilei Sun
Learning Solid Dynamics with Graph Neural Network
Bohao Li, Bowen Du, Junchen Ye, Jiajing Huang, Leilei Sun, Jinyan Feng
MvTS-library: An open library for deep multivariate time series forecasting
Junchen Ye, Weimiao Li, Zhixin Zhang, Tongyu Zhu, Leilei Sun, Bowen Du
Automated urban planning aware spatial hierarchies and human instructions
Dongjie Wang, Kunpeng Liu, Yanyong Huang, Leilei Sun, Bowen Du, Yanjie Fu
Community-based Dynamic Graph Learning for Popularity Prediction
Shuo Ji, Xiaodong Lu, Mingzhe Liu, Leilei Sun, Chuanren Liu, Bowen Du, Hui Xiong
Continuous-Time Graph Learning for Cascade Popularity Prediction
Xiaodong Lu, Shuo Ji, Le Yu, Leilei Sun, Bowen Du, Tongyu Zhu
Continuous-Time User Preference Modelling for Temporal Sets Prediction
Le Yu, Zihang Liu, Leilei Sun, Bowen Du, Chuanren Liu, Weifeng Lv
Embedding disentanglement in graph convolutional networks for recommendation
Tianyu Zhu, Leilei Sun, Guoqing Chen
Event-Based Dynamic Graph Representation Learning for Patent Application Trend Prediction
Tao Zou, Le Yu, Leilei Sun, Bowen Du, Deqing Wang, Fuzhen Zhuang
Generic and Dynamic Graph Representation Learning for Crowd Flow Modeling
Liangzhe Han, Ruixing Zhang, Leilei Sun, Bowen Du, Yanjie Fu, Tongyu Zhu
Generic Dynamic Graph Convolutional Network for traffic flow forecasting
Yi Xu, Liangzhe Han, Tongyu Zhu, Leilei Sun, Bowen Du, Weifeng Lv
Graph-based embedding smoothing for sequential recommendation
Tianyu Zhu, Leilei Sun, Guoqing Chen
Heterogeneous structural responses recovery based on multi-modal Deep learning
Bowen Du, Liyu Wu, Leilei Sun, Fei Xu, Linchao Li
Hierarchical Reinforced Urban Planning: Jointly Steering Region and Block Configurations
Pengfei Wang, Daniel Wang, Kunpeng Liu, Dongjie Wang, Yuanchun Zhou, Leilei Sun, Yanjie Fu
Multivariate Long-Term Traffic Forecasting with Graph Convolutional Network and Historical Attention Mechanism
Zhaohuan Wang, Yi Xu, Liangzhe Han, Tongyu Zhu, Leilei Sun
Predicting Temporal Sets with Simplified Fully Connected Networks
Le Yu, Zihang Liu, Tongyu Zhu, Leilei Sun, Bowen Du, Weifeng Lv
PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation
Mingzhe Liu, Han Huang, Hao Feng, Leilei Sun, Bowen Du, Yanjie Fu
Sampling Spatial-Temporal Attention Network for Traffic Forecasting
Mao Chen, Yi Xu, Liangzhe Han, Leilei Sun
Spatio-Temporal AutoEncoder for Traffic Flow Prediction
Mingzhe Liu, Tongyu Zhu, Junchen Ye, Qingxin Meng, Leilei Sun, Bowen Du
Human-Instructed Deep Hierarchical Generative Learning for Automated Urban Planning
Dongjie Wang, Lingfei Wu, Denghui Zhang, Jingbo Zhou, Leilei Sun, Yanjie Fu
Pretraining Language Models with Text-Attributed Heterogeneous Graphs
Tao Zou, Le Yu, Yifei Huang, Leilei Sun, Bowen Du
PBTR: Pre-training and Bidirectional Semantic Enhanced Trajectory Recovery
Qiming Zhang, Tianxi Liao, Tongyu Zhu, Leilei Sun, Weifeng Lv
Self-optimizing Feature Generation via Categorical Hashing Representation and Hierarchical Reinforcement Crossing
Wangyang Ying, Dongjie Wang, Kunpeng Liu, Leilei Sun, Yanjie Fu
Adaptive Spatio-temporal Graph Neural Network for traffic forecasting
Xuxiang Ta, Zihan Liu, Xiao Hu, Le Yu, Leilei Sun, Bowen Du
Adaptive spectral affinity propagation clustering
Lin Tang, Leilei Sun, Chonghui Guo, Zhen Zhang
Analysis for full face mechanical behaviors through spatial deduction model with real-time monitoring data
Xuyan Tan, Yuhang Wang, Bowen Du, Junchen Ye, Weizhong Chen, Leilei Sun, Liping Li
Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation
Han Huang, Leilei Sun, Bowen Du, Weifeng Lv
Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand Prediction
Liangzhe Han, Xiaojian Ma, Leilei Sun, Bowen Du, Yanjie Fu, Weifeng Lv, Hui Xiong
Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction
Ruixing Zhang, Liangzhe Han, Boyi Liu, Jiayuan Zeng, Leilei Sun
Element-guided Temporal Graph Representation Learning for Temporal Sets Prediction
Le Yu, Guanghui Wu, Leilei Sun, Bowen Du, Weifeng Lv
Exploiting Global and Local Hierarchies for Hierarchical Text Classification
Ting Jiang, Deqing Wang, Leilei Sun, Zhongzhi Chen, Fuzhen Zhuang, Qinghong Yang
Graph Sequence Neural Network with an Attention Mechanism for Traffic Speed Prediction
Zhilong Lu, Weifeng Lv, Zhipu Xie, Bowen Du, Guixi Xiong, Leilei Sun, Haiquan Wang
GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation
Han Huang, Leilei Sun, Bowen Du, Yanjie Fu, Weifeng Lv
Heterogeneous Graph Representation Learning with Relation Awareness
Le Yu, Leilei Sun, Bowen Du, Chuanren Liu, Weifeng Lv, Hui Xiong
Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting
Junchen Ye, Zihan Liu, Bowen Du, Leilei Sun, Weimiao Li, Yanjie Fu, Hui Xiong
Modelling Evolutionary and Stationary User Preferences for Temporal Sets Prediction
Le Yu, Zihang Liu, Tongyu Zhu, Leilei Sun, Bowen Du, Weifeng Lv
Response Prediction Based on Temporal and Spatial Deep Learning Model for Intelligent Structural Health Monitoring
Bowen Du, Chunming Lin, Leilei Sun, Yangping Zhao, Linchao Li
Response Prediction Based on Temporal and Spatial Deep Learning Model for Intelligent Structural Health Monitoring
Bowen Du, Chunming Lin, Leilei Sun, Yangping Zhao, Linchao Li
Spatial Semantic Learning for Travel Time Estimation
Yi Xu, Leilei Sun, Bowen Du, Liangzhe Han
Taxi Demand Prediction Using Parallel Multi-Task Learning Model
Chizhan Zhang, Fenghua Zhu, Xiao Wang, Leilei Sun, Haina Tang, Yisheng Lv
Label-Enhanced Graph Neural Network for Semi-supervised Node Classification
Le Yu, Leilei Sun, Bowen Du, Tongyu Zhu, Weifeng Lv
Traffic Flow Prediction Based on Spatiotemporal Potential Energy Fields
Jingyuan Wang, Jiahao Ji, Zhe Jiang, Leilei Sun
A Simulation Research Towards Better Leverage of Sales Ranking
Lin Tang, Leilei Sun, Chonghui Guo, Yuqian Zuo, Zhen Zhang
Automatic Treatment Regimen Design
Leilei Sun, Chuanren Liu, Guoqing Chen, Chonghui Guo, Hui Xiong, Yanming Xie
Co-Prediction of Multimodal Transportation Demands With Self-learned Spatial Dependence
Mingzhe Liu, Bowen Du, Leilei Sun
Coupled Layer-wise Graph Convolution for Transportation Demand Prediction
Junchen Ye, Leilei Sun, Bowen Du, Yanjie Fu, Hui Xiong
Deep Heterogeneous Network for Temporal Set Prediction
Nannan Shi, Le Yu, Leilei Sun, Lihua Wang, Chunming Lin, Ruixing Zhang
Deep Human-guided Conditional Variational Generative Modeling for Automated Urban Planning
Dongjie Wang, Kunpeng Liu, Pauline Johnson, Leilei Sun, Bowen Du, Yanjie Fu
Deep multi-task learning with flexible and compact architecture search
Jiejie Zhao, Weifeng Lv, Bowen Du, Junchen Ye, Leilei Sun, Guixi Xiong
Deep multi-task learning with relational attention for business success prediction
Jiejie Zhao, Bowen Du, Leilei Sun, Weifeng Lv, Yanchi Liu, Hui Xiong
Deep spatio-temporal graph convolutional network for traffic accident prediction
Le Yu, Bowen Du, Xiao Hu, Leilei Sun, Liangzhe Han, Weifeng Lv
Development of load-temporal model to predict the further mechanical behaviors of tunnel structure under various boundary conditions
Bowen Du, Wentao Li, Xuyan Tan, Junchen Ye, Weizhong Chen, Leilei Sun
Dynamic and Multi-faceted Spatio-temporal Deep Learning for Traffic Speed Forecasting
Liangzhe Han, Bowen Du, Leilei Sun, Yanjie Fu, Yisheng Lv, Hui Xiong
Embedding Disentanglement in Graph Convolutional Networks for Recommendation
Tianyu Zhu, Leilei Sun, Guoqing Chen
GAN-Based Anomaly Detection for Multivariate Time Series Using Polluted Training Set
Bowen Du, Xuanxuan Sun, Junchen Ye, Ke Cheng, Jingyuan Wang, and Leilei Sun
Investigation on the data augmentation using machine learning algorithms in structural health monitoring information
Xuyan Tan, Xuanxuan Sun, Weizhong Chen, Bowen Du, Junchen Ye, Leilei Sun
Landslide susceptibility prediction based on image semantic segmentation
Bowen Du, Zirong Zhao, Xiao Hu, Guanghui Wu, Liangzhe Han, Leilei Sun, Qiang Gao
Lightxml: Transformer with dynamic negative sampling for high-performance extreme multi-label text classification
Ting Jiang, Deqing Wang, Leilei Sun, Huayi Yang, Zhengyang Zhao, Fuzhen Zhuang
Modelling the epidemic dynamics of COVID-19 with consideration of human mobility
Bowen Du, Zirong Zhao, Jiejie Zhao, Le Yu, Leilei Sun, Weifeng Lv
Multi-Semantic Path Representation Learning for Travel Time Estimation
Liangzhe Han, Bowen Du, Jingjing Lin, Leilei Sun, Xucheng Li, Yizhou Peng
Prediction of Treatment Medicines with Dual Adaptive Sequential Networks
Yang An, Liang Zhang, Haoyu Yang, Leilei Sun, Bo Jin, Chuanren Liu, Ruiyun Yu, Xiaopeng Wei
Representation Learning on Knowledge Graphs for Node Importance Estimation
Han Huang, Leilei Sun, Bowen Du, Chuanren Liu, Weifeng Lv, Hui Xiong
A fusion framework to extract typical treatment patterns from electronic medical records
Jingfeng Chen, Leilei Sun, Chonghui Guo, Yanming Xie
Defending Water Treatment Networks: Exploiting Spatio-temporal Effects for Cyber Attack Detection
Dongjie Wang, Pengyang Wang, Jingbo Zhou, Leilei Sun, Bowen Du, Yanjie Fu
Dual Sequential Network for Temporal Sets Prediction
Leilei Sun, Yansong Bai, Bowen Du, Chuanren Liu, Hui Xiong, Weifeng Lv
Guaranteeing differential privacy for sequence predictions in bike sharing systems
Zhipu Xie, Bowen Du, Shangfo Huang, Bo Huang, Leilei Sun, Weifeng Lv
Hybrid Micro/Macro Level Convolution for Heterogeneous Graph Learning
Le Yu, Leilei Sun, Bowen Du, Chuanren Liu, Weifeng Lv, Hui Xiong
Predicting Temporal Sets with Deep Neural Networks
Le Yu, Leilei Sun, Bowen Du, Chuanren Liu, Hui Xiong, Weifeng Lv
Traffic Demand Prediction Based on Dynamic Transition Convolutional Neural Network
Bowen Du, Xiao Hu, Leilei Sun, Junming Liu, Yanan Qiao, Weifeng Lv
CCODM: conditional co-occurrence degree matrix document representation method
Wei Wei, Chonghui Guo, Jingfeng Chen, Lin Tang, Leilei Sun
Co-Prediction of Multiple Transportation Demands Based on Deep Spatio-Temporal Neural Network
Junchen Ye, Leilei Sun, Bowen Du, Yanjie Fu, Xinran Tong, Hui Xiong
Multiple Relational Attention Network for Multi-task Learning
Jiejie Zhao, Bowen Du, Leilei Sun, Fuzhen Zhuang, Weifeng Lv, Hui Xiong
Passenger behavior prediction with semantic and multi-pattern LSTM model
Haiquan Wang, Xin Wu, Leilei Sun, Bowen Du
Traffic Accident Prediction Based on Deep Spatio-Temporal Analysis
Le Yu, Bowen Du, Xiao Hu, Leilei Sun, Weifeng Lv, Runhe Huang
Unsupervised EEG feature extraction based on echo state network
Leilei Sun, Bo Jin, Haoyu Yang, Jianing Tong, Chuanren Liu, Hui Xiong
Urban Micro-Circulation Bus Planning Based on Temporal and Spatial Travel Demand
Bowen Du, Yanan Qiao, Jiejie Zhao, Leilei Sun, Weifeng Lv, Runhe Huang
A data-driven framework of typical treatment process extraction and evaluation
Jingfeng Chen, Leilei Sun, Chonghui Guo, Wei Wei, Yanming Xie
A Treatment Engine by Predicting Next-Period Prescriptions
Bo Jin, Haoyu Yang, Leilei Sun, Chuanren Liu, Yue Qu, Jianing Tong
Econometric testing on linear and nonlinear dynamic relation between stock prices and macroeconomy in China
Sumuya Borjigin, Yating Yang, Xiaoguang Yang, Leilei Sun
Parallel architecture of convolutional bi-directional LSTM neural networks for network-wide metro ridership prediction
Xiaolei Ma, Jiyu Zhang, Bowen Du, Chuan Ding, Leilei Sun
A Data-driven Process Recommender Framework
Sen Yang, Xin Dong, Leilei Sun, Yichen Zhou, Richard A. Farneth, Hui Xiong, Randall S. Burd, Ivan Marsic
Cluster Analysis in Data-Driven Management and Decisions
Leilei Sun, Guoqing Chen, Hui Xiong, Chonghui Guo
Effective and Real-time In-App Activity Analysis in Encrypted Internet Traffic Streams
Junming Liu, Yanjie Fu, Jingci Ming, Yong Ren, Leilei Sun, Hui Xiong
Extended TODIM for multi-criteria group decision making based on unbalanced hesitant fuzzy linguistic term sets
Wenyu Yu, Zhen Zhang, Qiuyan Zhong, Leilei Sun
Fast affinity propagation clustering based on incomplete similarity matrix
Leilei Sun, Chonghui Guo, Chuanren Liu, Hui Xiong
Functional Zone Based Hierarchical Demand Prediction For Bike System Expansion
Junming Liu, Leilei Sun, Qiao Li, Jingci Ming, Yanchi Liu, Hui Xiong
Textual analysis and visualization of research trends in data mining for electronic health records
Jingfeng Chen, Wei Wei, Chonghui Guo, Lin Tang, Leilei Sun
Characterizing the life cycle of point of interests using human mobility patterns
Xinjiang Lu, Zhiwen Yu, Leilei Sun, Chuanren Liu, Hui Xiong, Chu Guan
Data-driven Automatic Treatment Regimen Development and Recommendation
Leilei Sun, Chuanren Liu, Chonghui Guo, Hui Xiong, Yanming Xie
Rebalancing Bike Sharing Systems: A Multi-source Data Smart Optimization
Junming Liu, Leilei Sun, Weiwei Chen, Hui Xiong
Incremental Affinity Propagation Clustering Based on Message Passing
Leilei Sun, Chonghui Guo
EEG signal classification for epilepsy diagnosis based on AR model and RVM
Min Han, Leilei Sun
Graph-based Embedding Smoothing for Sequential Recommendation
Tianyu Zhu, Leilei Sun, Guoqing Chen
Continuous-Time and Discrete-Time Representation Learning for Origin-Destination Demand Prediction
Yi Xu, Liangzhe Han, Tongyu Zhu, Leilei Sun, Bowen Du, Weifeng Lv
Towards Better Dynamic Graph Learning: New Architecture and Unified Library
Le Yu, Leilei Sun, Bowen Du, Weifeng Lv
A Graph Attention Fusion Network for Event-Driven Traffic Speed Prediction
Zekun Qiu, Tongyu Zhu, Yuhui Jin, Leilei Sun, Bowen Du
Positive mood-related gut microbiota in a long-term closed environment: A multiomics study based on the Lunar Palace 365 experiment
Zikai Hao, Chen Meng, Leyuan Li, Siyuan Feng, Yinzhen Zhu, Jianlou Yang, Liangzhe Han, Leilei Sun, Weifeng Lv, Daniel Figeys, Hong Liu
Intelligent Monitoring System Based on Spatio-Temporal Data for Underground Space Infrastructure
Bowen Du, Junchen Ye, Hehua Zhu, Leilei Sun, Yanliang Du