Yudong Zhang @ USTC
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张玉东 |
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Biography
Currently I am a Ph.D. student in the School of Artificial Intelligence and Data Science at University of Science and Technology of China and a member of Data Intelligence Laboratory, led by Prof. Yang Wang.
I got my B.Sc. degree in School of Electronic Science and Engineering in June 2020 from University of Electronic Science and Technology of China. In the same year, I was admitted to University of Science and Technology of China.Education
2020.09 ~ present
Ph.D. Student: Data Science, School of Artificial Intelligence and Data Science, University of Science and Technology of China.2016.09 ~ 2020.06
B.Sc. degree: Electronic Science and Technology, School of Electronic Science and Engineering, University of Electronic Science and Technology of China.
Research Interests
Spatial-Temporal Data Mining, Graph Mining, Time Series Analysis.
Applications of AI in Urban Computing and Mobile Computing.
Data-centric Machine Learning: Transfer/Federated/Continual Learning.
Publications
Journal Papers:Yudong Zhang, Xu Wang*, Zhaoyang Sun, Pengkun Wang, Binwu Wang, Limin Li, Yang Wang*, Meta Koopman decomposition for time series forecasting under temporal distribution shifts, Advanced Engineering Informatics, (AEI), 2024. (CCF-B, JCR-Q1, IF=8.0)
Yudong Zhang, Xu Wang*, Pengkun Wang, Binwu Wang, Zhengyang Zhou, Yang Wang*, Modeling Spatio-Temporal Mobility Across Data Silos via Personalized Federated Learning, IEEE Transactions on Mobile Computing, (TMC), 2024. (CCF-A, JCR-Q1, IF=7.7)
Li-Min Li, Bin-Wu Wang*, Xu Wang, Peng-Kun Wang, Yu-Dong Zhang, Yang Wang*, Face Anti-spoofing with Unknown Attacks: A Comprehensive Feature Extraction and Representation Perspective, Journal of Computer Science and Technology, (JCST), 2024. (CCF-B)
Yudong Zhang, Pengkun Wang, Binwu Wang, Xu Wang, Zhe Zhao, Zhengyang Zhou, Lei Bai*, Yang Wang*, Adaptive and Interactive Multi-Level Spatio-Temporal Network for Traffic Forecasting, IEEE Transactions on Intelligent Transportation Systems, (TITS), 2024. (CCF-B, JCR-Q1, IF=7.9)
Binwu Wang, Pengkun Wang*, Yudong Zhang, Xu Wang, Zhengyang Zhou, Yang Wang*, Condition-Guided Urban Traffic Co-Prediction With Multiple Sparse Surveillance Data, IEEE Transactions on Vehicular Technology, (TVT), 2024. (JCR-Q1, IF=6.1).
Kun Wang, Yuxuan Liang*, Xinglin Li, Guohao Li, Bernard Ghanem, Roger Zimmermann, Zhengyang Zhou, Huahui Yi, Yudong Zhang, Yang Wang*, Brave the Wind and the Waves: Discovering Robust and Generalizable Graph Lottery Tickets, IEEE Transactions on Pattern Analysis and Machine Intelligence, (TPAMI), 2023. (CCF-A, JCR-Q1, IF=20.8)
Xu Wang, Pengkun Wang, Binwu Wang, Yudong Zhang, Zhengyang Zhou, Lei Bai, Yang Wang*, Latent Gaussian Processes based Graph Learning for Urban Traffic Prediction, IEEE Transactions on Vehicular Technology, (TVT), 2023. (JCR-Q1, IF=6.1)
Binwu Wang, Yudong Zhang, Jiahao Shi, Pengkun Wang, Xu Wang, Lei Bai*, Yang Wang*, Knowledge Expansion and Consolidation for Continual Traffic Prediction with Expanding Graphs, IEEE Transactions on Intelligent Transportation Systems, (TITS), 2023. (CCF-B, JCR-Q1, IF=7.9)
Binwu Wang, Jiaming Ma, Pengkun Wang, Xu Wang, Yudong Zhang, Zhengyang Zhou, Yang Wang*, STONE: A Spatio-temporal OOD Learning Framework Kills Both Spatial and Temporal Shifts, The 30th SIGKDD Conference on Knowledge Discovery and Data Mining, (SIGKDD), 2024. (CCF-A)
Binwu Wang, Pengkun Wang*, Wei Xu, Xu Wang, Yudong Zhang, Kun Wang, Yang Wang*, Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning, The Twelfth International Conference on Learning Representations, (ICLR), 2024. (CORE-A*)
Binwu Wang, Pengkun Wang*, Yudong Zhang, Xu Wang, Zhengyang Zhou, Lei Bai, Yang Wang*, Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective, The 38th Annual AAAI Conference on Artificial Intelligence, (AAAI), 2024. (CCF-A)
Zhe Zhao, Pengkun Wang*, Haibin Wen, Yudong Zhang, Zhengyang Zhou, Yang Wang*, A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks, The 38th Annual AAAI Conference on Artificial Intelligence, (AAAI), 2024. (CCF-A)
Xu Wang, Pengfei Gu, Yudong Zhang, Binwu Wang, Pengkun Wang, Yang Wang*, Gradient Reactivation Enhanced Causal Attention for Out-Of-Distribution Generalizable Graph Classification, The 49th IEEE International Conference on Acoustics, Speech, and Signal Processing, (ICASSP), 2024. (CCF-B)
Zhe Zhao, Pengkun Wang*, Haibin Wen, Yudong Zhang, Binwu Wang, Yang Wang*, Graph Networks Stand Strong: Enhancing Robustness via Stability Constraints, The 49th IEEE International Conference on Acoustics, Speech, and Signal Processing, (ICASSP), 2024. (CCF-B)
Binwu Wang, Yudong Zhang, Xu Wang, Pengkun Wang, Zhengyang Zhou, Lei Bai*, Yang Wang*, Pattern Expansion and Consolidation on Evolving Graphs for Continual Traffic Prediction, The 29th SIGKDD Conference on Knowledge Discovery and Data Mining, (SIGKDD), 2023. (CCF-A)
Xu Wang, Hongbo Zhang, Pengkun Wang, Yudong Zhang, Binwu Wang, Zhengyang Zhou, Yang Wang*, An Observed Value Consistent Diffusion Model for Imputing Missing Values in Multivariate Time Series, The 29th SIGKDD Conference on Knowledge Discovery and Data Mining, (SIGKDD), 2023. (CCF-A)
Zhengyang Zhou, Qihe Huang, Kuo Yang, Kun Wang, Xu Wang, Yudong Zhang, Yuxuan Liang, Yang Wang*, Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning, The 29th SIGKDD Conference on Knowledge Discovery and Data Mining, (SIGKDD), 2023. (CCF-A)
Yudong Zhang, Wei Lu, Xu Wang, Pengkun Wang*, Yang Wang*, Pondering About Task Spatial Misalignment: Classification-Localization Equilibrated Object Detection, The 48th IEEE International Conference on Acoustics, Speech, and Signal Processing, (ICASSP), 2023. (CCF-B)
Binwu Wang, Yudong Zhang, Pengkun Wang, Xu Wang, Lei Bai*, Yang Wang*, A Knowledge-Driven Memory System for Traffic Flow Prediction, The 28th International Conference on Database Systems for Advanced Applications, (DASFAA), 2023. (CCF-B)
Pengkun Wang, Xu Wang, Binwu Wang, Yudong Zhang, Lei Bai*, Yang Wang*, Long-Tailed Time Series Classification via Feature Space Rebalancing, The 28th International Conference on Database Systems for Advanced Applications, (DASFAA), 2023. (CCF-B)
Pengkun Wang, Xu Wang, Binwu Wang, Yudong Zhang, Lei Bai*, Yang Wang*, Countering Modal Redundancy and Heterogeneity: A Self-Correcting Multimodal Fusion, The 22nd IEEE International Conference on Data Mining, (ICDM), 2022. (CORE-A*, CCF-B)
Yudong Zhang, Binwu Wang, Ziyang Shan, Zhengyang Zhou*, Yang Wang*, CMT-Net: A Mutual Transition Aware Framework for Taxicab Pick-ups and Drop-offs Co-Prediction, The 15th ACM International Conference on Web Search and Data Mining, (WSDM), 2022. (CORE-A*, CCF-B)
Awards
2024.10: First-class Academic Scholarship for Ph.D. Students, USTC.
2024.08: Silver Award of Anhui University Student Innovation Competition (2024), Department of Education of Anhui Province.
2024.05: Award of Outstanding Student Cadres, USTC.
2024.01: Awarded project support by the "Young Eagle Fund", USTC.
2023.10: First-class Academic Scholarship for Ph.D. Students, USTC.
2023.05: Award of Outstanding Student Cadres, USTC.
2023.01: Award of Outstanding Student Volunteer, Suzhou Institute for Advanced Research of USTC.
2022.12: Bronze Prize of Global Chinese University Students Data Application Innovation Competition, International Centre for Engineering Education under the auspices of UNESCO.
2022.11: Second Prize of the 8th "Chuang Hui Hu" Excellent College Student Innovation and Entrepreneurship Competition, Suzhou Dushu Lake Science & Education Innovation Zone.
2022.11: Provincial "Star of Innovation and Entrepreneurship", Department of Education of Anhui Province.
2022.09: First-class Academic Scholarship for Ph.D. Students, USTC.
2021.12: First Prize of the 7th "Chuang Hui Hu" Excellent College Student Innovation and Entrepreneurship Competition, Suzhou Dushu Lake Science & Education Innovation Zone.
2021.11: First-class Scholarship for Gusu Excellent Students, USTC.
2021.11: National Scholarship for Graduate Students, USTC.
2021.10: Merit Award of "ZHI HUI SU GAO XIN" Innovation and Entrepreneurship Competition (3/100), Suzhou Hi-Tech District.
2021.09: Second Prize of the First Global USTC Innovation and Entrepreneurship Competition (Creativity track, Suzhou), USTC.
2021.07: First Prize of the 13th Suzhou Youth Elite Entrepreneurship Competition (1/500), Suzhou Talent Office.
2020.09: Second-class Academic Scholarship for Graduate Students, USTC.
2020.06: Award of Excellent Graduation Thesis, UESTC.
2019.10: Scholarship for Outstanding Students, UESTC.
Academic Services
Invited Program Committee Member/Reviewer for conferences:
ACM TheWebConf (2025), ICLR (2025), NeurIPS (2024), ACM MM (2024), AISTATS (2025), ICWSM (2025), ICASSP (2024, 2025), ICME (2024), Globecom (2024), ECAI (2023), ECML-PKDD (2023).Invited Reviewer for journals:
IEEE Transactions on Intelligent Transportation Systems, Pattern Recognition, Neural Networks, Applied Soft Computing.
Teaching Services
2024: Serve as a TA for Design and Analysis of Algorithms (Autumn 2024), School of Software Engineering, USTC.
2024: Serve as a TA for Design and Analysis of Algorithms (Autumn 2024), School of Computer Science and Technology, USTC.
2024: Serve as a TA for Big Data Analysis (Spring 2024), School of Software Engineering, USTC.
2024: Serve as a TA for Theory of Algorithm (Spring 2024), School of Software Engineering, USTC.
2023: Serve as a TA for Data Warehouse and Data Mining (Autumn 2023), School of Software Engineering, USTC.
2023: Serve as a TA for Design and Analysis of Algorithms (Autumn 2023), School of Computer Science and Technology, USTC.
2022: Serve as a TA for Design and Analysis of Algorithms (Autumn 2022), School of Computer Science and Technology, USTC.
2022: Serve as a TA for Distributed and Cloud Computing (Spring 2022), School of Software Engineering, USTC.
2021: Serve as a TA for Natural Language Processing (Autumn 2021), School of Software Engineering, USTC.
2021: Serve as a TA for EDA Technology (Autumn 2021), School of Software Engineering, USTC.
Correspondence
Email:
zyd2020@mail.ustc.edu.cn
Laboratory:
Office 302, Biomed. Eng. Building, Ruoshui Road Campus, Suzhou Institute for Advanced Research, USTC
Address:
99 Ruoshui Road, Suzhou Industrial Park, Suzhou, Jiangsu, 215123, China
(江苏省苏州市苏州工业园区若水路99号, 中国科学技术大学苏州高等研究院生物医学工程楼, 215123.)
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