Associate Professor
Tongyu Zhu
诸彤宇
Tongyu Zhu is an Associate Professor at the School of Computer Science and Engineering, Beihang University (BUAA). He graduated from the Department of Engineering Mechanics, Tsinghua University, with a Bachelor’s degree in 1992, and received his Ph.D. degree in Computer Software and Theory from Beihang University in 2010. He previously worked at the China Academy of Civil Aviation Science and Technology. In January 2003, he joined the National Key Laboratory of Software Development Environment at Beihang University.
During his tenure in the civil aviation sector, Dr. Zhu primarily focused on research in the field of civil aviation flight safety. As a key researcher and technical lead, he received the following awards: the Second Prize of the National Science and Technology Progress Award in 2000 (ranked 4th), the First Prize of the Ministerial-Level Science and Technology Progress Award in 1999 (ranked 4th), the Second Prize of the Ministerial-Level Science and Technology Progress Award in 2001 (ranked 4th), and the Third Prize of the Ministerial-Level Science and Technology Progress Award in 1996 (ranked 6th).
Since joining Beihang University, Dr. Zhu has been engaged in research on intelligent transportation systems, smart cities, domain-oriented data mining, and artificial intelligence. He has led nearly 70 research projects of various types, including projects under the 863 Program and the National Key Research and Development Program, with cumulative research funding exceeding 40 million RMB. He received the Second Prize of the National Award for Technological Invention in 2016 (ranked 2nd), the First Prize of the Science and Technology Progress Award of the China Highway and Transportation Society in 2010 (ranked 2nd), the First Prize of the Beijing Municipal Science and Technology Award in 2010 (ranked 2nd), and the First Prize of the Civil Aviation Science and Technology Progress Award in 2017 (ranked 6th). He has published over 70 papers, including more than 30 CCF- or SCI-indexed papers as first author or corresponding author.
In the area of teaching, Dr. Zhu directs the core graduate course “Principles of Programming Languages” for the School of Computer Science and Engineering, and lectures on the core undergraduate course “Object-Oriented Design and Construction” (a First-Class Undergraduate Course). He received the Second Prize of the BUAA Teaching Achievement Award in 2020 (ranked 6th).
学术论文
Influence-aware Dynamic Graph Learning for Popularity Prediction
Yumeng Zhou, Mingzhe Liu, Leilei Sun, Xuejie Xu, Liangzhe Han, Tongyu Zhu
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
ShapeletMIL: A Multi-Instance Learning Framework for Interpretable Multivariate Time Series Classification
Hu Xu、Yi Xu、Yitao Jia、Yuhui Jin、Donglan 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
Behavior Tokens Speak Louder: Disentangled Explainable Recommendation with Behavior Vocabulary
Xinshun Feng, Mingzhe Liu, Yi Qiao, Tongyu Zhu, Leilei Sun, Shuai Wang
Personalized Learning Resource Recommendation Framework Based on Knowledge Graph and Large Language Model
Jianguo Chen, Tongyu Zhu
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
Mitigate Hallucinations in LLM's Understanding of Dynamic Graph: An In-depth Evaluation and Enhancement
Yuou Chen, Ruixing Zhang, Yunqi Liu, Tongyu Zhu, Mingzhe Liu, 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
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
Robust Trajectory Similarity Learning for Mobile Phone Signaling Data via Contrastive Augmentation
Jiashu Zhang, Ruixing Zhang, Tongyu Zhu, Leilei Sun
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
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
MvTS-library: An open library for deep multivariate time series forecasting
Junchen Ye, Weimiao Li, Zhixin Zhang, Tongyu Zhu, Leilei Sun, Bowen Du
Continuous-Time Graph Learning for Cascade Popularity Prediction
Xiaodong Lu, Shuo Ji, Le Yu, Leilei Sun, Bowen Du, Tongyu Zhu
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
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
Spatio-Temporal AutoEncoder for Traffic Flow Prediction
Mingzhe Liu, Tongyu Zhu, Junchen Ye, Qingxin Meng, Leilei Sun, Bowen Du
PBTR: Pre-training and Bidirectional Semantic Enhanced Trajectory Recovery
Qiming Zhang, Tianxi Liao, Tongyu Zhu, Leilei Sun, Weifeng Lv
Modelling Evolutionary and Stationary User Preferences for Temporal Sets Prediction
Le Yu, Zihang Liu, Tongyu Zhu, Leilei Sun, Bowen Du, Weifeng Lv
Label-Enhanced Graph Neural Network for Semi-supervised Node Classification
Le Yu, Leilei Sun, Bowen Du, Tongyu Zhu, Weifeng Lv
Continuous-Time and Discrete-Time Representation Learning for Origin-Destination Demand Prediction
Yi Xu, Liangzhe Han, Tongyu Zhu, 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