Yudong Zhang @ USTC

张玉东
Yudong Zhang

Ph.D. Candidate, IEEE Student Member
Data Intelligence Laboratory
Suzhou Institute for Advanced Research
School of Artificial Intelligence and Data Science
University of Science and Technology of China

Supervisor: Associate Professor Yang Wang (Vice Dean)

Welcome discussions and cooperations, feel free to drop me an Email if you want.

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 Earth Computing.
Effective learning in Open Environments: Transfer Learning, Federated Learning, Continual Learning.

Publications

Accepted Papers:

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. (JCR-Q1, CCF Rank B, IF=8.5)
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=6.8).
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 Rank 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 Rank 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 Rank A)
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. (JCR-Q1, CCF Rank A, IF=23.6)
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 Rank 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 Rank B)
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=6.8)
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 Rank 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 Rank 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 Rank A)
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. (JCR-Q1, CCF Rank B, IF=8.5)
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 Rank 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 Rank 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 Rank 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 Rank A*, CCF Rank 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 Rank A*, CCF Rank B)
Zenghao Liu, Haoran Wang, Yudong Zhang, Xingli Wang, Deep Masking Generative Network For Irregularly Sampled Multivariate Time Series, The 4th IEEE International Conference on Pattern Recognition and Artificial Intelligence, (PRAI), 2021.

Under Review:

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), Major Revision.

(The authors with * are the corresponding authors.)

Awards

2024.05: Award of Outstanding Student Cadres, 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

2024: Serve as a Reviewer for ACM MM 2024.
2024: Serve as a Reviewer for ICME 2024.
2023: Serve as a Reviewer for IT Professional.
2023: Serve as a Reviewer for ICASSP 2024.
2023: Serve as a Reviewer for IEEE Transactions on Intelligent Transportation Systems.
2023: Serve as a member of Program Committee (Reviewer) for ECAI 2023.
2023: Serve as an External Reviewer for ECML-PKDD 2023.

Teaching Services

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 A1302, Zhide 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至德楼, 215123.)