Yutong Ye


Visiting Scholar at the Department of Computer Science, Kent State University, Kent, Ohio, United States

Email: yye8@kent.edu

PhD Candidate (Expected 2025) at the Software Engineering Institute, East China Normal University, Shanghai, China

Email: ytye@stu.ecnu.edu.cn

Google Scholar

DBLP

I am a visiting scholar at the Department of Computer Science, Kent State University (KSU), advised by Prof. Xiang Lian.

Meanwhile, I am a fourth-year Ph.D. candidate at the Software Engineering Institute, East China Normal University (ECNU), advised by Prof. Mingsong Chen. I plan to get my Ph.D. degree in Software Engineering in Spring 2025.

Previously, I obtained my Bachelor's degree from the Department of Computer Science, GuangXi Normal University (GXNU), Guilin, Guangxi, China in June 2020.

My research includes Artificial Intelligence and Graph Data Management, in particular:

  • Query processing and optimization over static and dynamic graph databases (e.g., subgraph matching and community detection)

  • Reinforcement learning and its applications (e.g., multi-agent algorithm, traffic signal control, and task schedule)

  • Other deep learning technologies and their applications (e.g., few-shot image generation, time series forecasting, spatial-temporal forecasting, knowledge tracing, and privacy computing)

I have participated in some National Natural Science Foundation of China (NSFC) projects (including a national key research and development plan), and published several papers on international conferences and journals.

Here are the links to some of my professional websites: Resume, Google Scholar, and DBLP.

I am currently seeking for the post-doctoral fellow or assistant professor position.


Publications

Journal

Statistics: PVLDB - 1, TCAD - 1, TIFS - 1, TSC - 1, JSA - 1, IJHPCA - 1, JS - 1, JCSC - 1, JPCS - 1

  1. Yutong Ye, Xiang Lian, and Mingsong Chen. Efficient Exact Subgraph Matching via GNN-based Path Dominance Embedding. Proceedings of the Very Large Data Bases Conferences Endowment (PVLDB), 2024. (IF=2.86). [LINK]

  2. Yutong Ye, Jiepin Ding, Ting Wang, Junlong Zhou, Xian Wei, and Mingsong Chen. FairLight: Fairness-Aware Autonomous Traffic Signal Control with Hierarchical Action Space. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2022. (IF=2.9). [LINK]

  3. Zhusen Liu, Weizheng Wang, Yutong Ye, Nan Min, Zhenfu Cao, Lu Zhou, Zhe Liu. Collusion-Resilient Cloud-Assisted Two-Party Computation Scheme in Heterogeneous Mobile Cloud Computing. IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2024. (IF=6.3). [LINK]

  4. Yaning Yang, Xiao Du, Yutong Ye, Jiepin Ding, Ting Wang, Mingsong Chen, Keqin Li. Multi-objective Deep Reinforcement Learning for Function Offloading in Serverless Edge Computing. IEEE Transactions on Services Computing (IEEE TSC), 2024. (IF=5.5). [LINK]

  5. Yutong Ye, Hongyin Zhu, Chaoying Zhang, and Binghai Wen. Efficient Graphic Processing Unit Implementation of the Chemical-Potential Multiphase Lattice Boltzmann Method. The International Journal of High-Performance Computing Applications (IJHPCA), 2021. (IF=3.1). [LINK]

  6. Wupan Zhao, Yutong Ye, Jiepin Ding, Ting Wang, Tongquan Wei, and Mingsong Chen. IPDALight: Intensity-and Phase Duration-aware Traffic Signal Control based on Reinforcement Learning. Journal of Systems Architecture (JSA), 2022. (IF=4.5). [LINK]

  7. Jingli Wu, Yutong Ye, and Yong Wu. Roadside Unit Deployment Algorithm based on Useful Contribution. Journal of Software (JS), 2018. (IF=2.66). [LINK]

  8. Jiepin Ding, Jun Xia, Yutong Ye, Yuan Ma, and Mingsong Chen. Knowledge-based Effective Dispatch for Job Shop Scheduling. Journal of Circuits, Systems and Computers (JCSC), 2024. (IF=1.55). [LINK]

  9. Fengru Ling, Gang Huang, Hao Tang, Mengmeng Geng, Yutong Ye, and Zhangrong Qin. A Lattice Boltzmann Simulation of Coalescence-induced Droplet Jumping on Superhydrophobic Surfaces. Journal of Physics: Conference Series (JPCS), 2019. (IF=0.48). [LINK]

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Conference

Statistics: ICDE - 1, AAAI - 1, IJCAI - 1, CVPR - 1, DAC - 1, RTSS - 1, ICASSP - 2, COGSCI - 1, KSEM - 1, ICPADS - 1,

  1. Nan Zhang, Yutong Ye, Xiang Lian, and Mingsong Chen. Top-L Most Influential Community Detection Over Social Networks. IEEE International Conference on Data Engineering (ICDE), Utrecht, Netherlands, May. 13-17, 2024. (Acceptance Rate: 20%). [LINK]

  2. Yutong Ye, Yingbo Zhou, Jiepin Ding, Ting Wang, Mingsong Chen, and Xiang Lian. InitLight: Initial Model Generation for Traffic Signal Control Using Adversarial Inverse Reinforcement Learning. International Joint Conference on Artificial Intelligence (IJCAI), Macao, China, Aug. 19-25, 2023. (Acceptance Rate: 14%). [LINK]

  3. Xiao Du, Yutong Ye, Pengyu Zhang, Yaning Yang, Mingsong Chen, Ting Wang. Situation-Dependent Causal Influence-Based Cooperative Multi-Agent Reinforcement Learning. AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, Feb. 20-27, 2024. (Acceptance Rate: 24%). [LINK]

  4. Yingbo Zhou, Yutong Ye, Pengyu Zhang, Xian Wei, Mingsong Chen. Exact Fusion via Feature Distribution Matching for Few-shot Image Generation. Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, Jun. 17-21, 2024. (Acceptance Rate: 24%). [LINK]

  5. Yutong Ye, Wupan Zhao, Tongquan Wei, Shiyan Hu, and Mingsong Chen. FedLight: Federated Reinforcement Learning for Autonomous Multi-Intersection Traffic Signal Control. Design Automation Conference (DAC), San Francisco, USA, Jun. 23-27, 2021. (Acceptance Rate: 23%). [LINK]

  6. Yutong Ye, Zhiwei Ling, Yaning Yang, Xian Wei, Chen Cheng, Su Chen, and Mingsong Chen. Brief Industry Paper: RTLight: Digital Twin-based Real-Time Federated Traffic Signal Control. Real-Time Systems Symposium (RTSS), Taipei, China, Dec. 5-8, 2023. (Acceptance Rate: 28%). [LINK]

  7. Yingbo Zhou, Zhihao Yue, Yutong Ye, Pengyu Zhang, Xian Wei, and Mingsong Chen. EqGAN: Reformation-based Feature Equalization Fusion for Few-shot Image Generation. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Hyderabad, India, Apr. 6-11, 2025. [LINK]

  8. Yingbo Zhou, Pengyu Zhang, Yutong Ye, Zhihao Yue, Xian Wei, and Mingsong Chen. FiTGAN: Content Fusion with Style Transformation for Few-shot Image Generation. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Hyderabad, India, Apr. 6-11, 2025. [LINK]

  9. Jiali Wang, Yutong Ye, Ting Wang, and Mingsong Chen. LWSA: A Learning-Based Workflow Scheduling Algorithm for Energy-Efficient UAV Delivery System. IEEE International Conference on Parallel and Distributed Systems (ICPADS), Ocean Flower Island, China, Dec. 17-21, 2023. (Acceptance Rate: 37%). [LINK]

  10. Yang Yu, Yingbo Zhou, Yaokang Zhu, Yutong Ye, Liangyu Chen, Mingsong Chen. ECKT: Enhancing Code Knowledge Tracing via Large Language Models, Cognitive Science Society Annual Conference (COGSCI), Rotterdam, Netherlands, Jul. 24-27, 2024. [LINK]

  11. Jingli Wu, Yong Wu, Jinyan Wang, and Yutong Ye. A Parthenogenetic Algorithm for Deploying the Roadside Units in Vehicle Networks. International Conference on Knowledge Science, Engineering and Management (KSEM), Changchun, China, Aug. 17-19, 2018. (Acceptance Rate: 18%). [LINK]

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Technical Report

Statistics: Technical Report - 9

  1. Yutong Ye, Yingbo Zhou, Zhusen Liu, Xiao Du, Hao Zhou, Xiang Lian, and Mingsong Chen. FitLight: Federated Imitation Learning for Plug-and-Play Autonomous Traffic Signal Control. arXiv: 2502.11937, 2025 [LINK]

  2. Nan Zhang, Yutong Ye, Yuyang Wang, Xiang Lian, and Mingsong Chen. Effective Community Detection Over Streaming Bipartite Networks (Technical Report). arXiv:2411.01424, 2024. [LINK]

  3. Qi Wen, Yiyang Zhang, Yutong Ye, Yingbo Zhou, Nan Zhang, Xiang Lian, and Mingsong Chen. GCLS^2: Towards Efficient Community Detection using Graph Contrastive Learning with Structure Semantics. arXiv:2410.11273, 2024. [LINK]

  4. Yutong Ye, Xiang Lian, Nan Zhang, and Mingsong Chen. Dynamic Subgraph Matching via Cost-Model-based Vertex Dominance Embeddings (Technical Report). arXiv:2407.16660, 2024. [LINK]

  5. Qi Wen, Nan Zhang, Yutong Ye, Xiang Lian, Mingsong Chen. Reverse Influential Community Search Over Social Networks (Technical Report). arXiv:2405.01510, 2024. [LINK]

  6. Xiao Du, Yutong Ye, Pengyu Zhang, Yaning Yang, Mingsong Chen, Ting Wang. Situation-Dependent Causal Influence-Based Cooperative Multi-Agent Reinforcement Learning. arXiv:2312.09539, 2023. [LINK]

  7. Nan Zhang, Yutong Ye, Xiang Lian, and Mingsong Chen. Top-L Most Influential Community Detection Over Social Networks (Technical Report). arXiv:2311.13162, 2023. [LINK]

  8. Yutong Ye, Xiang Lian, and Mingsong Chen. Efficient Exact Subgraph Matching via GNN-based Path Dominance Embedding (Technical Report). arXiv:2309.15641, 2023. [LINK]

  9. Yingbo Zhou, Zhihao Yue, Yutong Ye, Pengyu Zhang, Xian Wei, and Mingsong Chen. EqGAN: Feature Equalization Fusion for Few-shot Image Generation. arXiv:2307.14638, 2023. [LINK]

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Research Projects and Grants

  1. [PI] Youth Talents Support Project - Doctoral Student Special Program, China Association for Science and Technology, 40K RMB.

  2. [PI] Research on Intelligent Transportation System Based on Deep Learning. East China Normal University Academic Innovation Promotion Program for Excellent Doctoral Students, 30K RMB.

  3. [PI] Study of droplet merging and bouncing phenomena using the lattice Boltzmann method. National Undergraduate Training Programs for Innovation and Entrepreneurship, 14K RMB.

  4. [PI] Parallel Algorithm Design and Optimization of Chemical Potential Lattice Boltzmann Method Based on GPU Computing. National Undergraduate Training Programs for Innovation and Entrepreneurship, 7K RMB.

  5. [PI] Research on RSU deployment problem based on intelligent optimization algorithm, National Undergraduate Training Programs for Innovation and Entrepreneurship, 4K RMB.

  6. [Co-PI] Research on scheduling optimization of green manufacturing and trusted services under crowd intelligence environment. Shanghai Cross-innovation Science and Education Integration Fund (Intelligent Science and Technology Category IV Peak Discipline), 50K RMB.

  7. [RA] Key technologies and applications of information-physical fusion in smart cities. National Key Research and Development Program, 17M RMB.

  8. [RA] Research on key technologies for efficient and trustworthy construction of cyber-physical systems under uncertain environments. Natural Science Foundation of China, 0.65M RMB.

  9. [RA] Research on key technologies for efficient and trusted construction of cloud-end cyber-physical systems. Natural Science Foundation of China, 0.54M RMB.

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Teaching

Teaching Assistant for:

  1. Cloud Computing Technology (Fall 2021)
    Location: Room 102,TianJiaBing Hall, East China Normal University (Putuo Campus)
    Office hour: 18:00pm - 20:45pm, Wednesday
    Instructor: Prof. Ting Wang

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Talks and Presentations

  1. Yutong Ye (Presenter). Learning-based Graph Query Optimization. Next-Generation Big Graph Learning and Analytics (co-located with IEEE BigData 2024), Washington D.C., Dec. 15, 2024

  2. Yutong Ye (Presenter). Efficient Exact Subgraph Matching via GNN-based Path Dominance Embedding. International Conference on Very Large Databases (VLDB), Guangzhou, China, Aug. 26-30, 2024.

  3. Yutong Ye (Presenter). Exact Fusion via Feature Distribution Matching for Few-shot Image Generation. Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, Jun. 17-21, 2024.

  4. Yutong Ye (Presenter). InitLight: Initial Model Generation for Traffic Signal Control Using Adversarial Inverse Reinforcement Learning. International Joint Conference on Artificial Intelligence (IJCAI), Macao, China, Aug. 19-25, 2023.

  5. Yutong Ye (Presenter). FedLight: Federated Reinforcement Learning for Autonomous Multi-Intersection Traffic Signal Control. Design Automation Conference (DAC), San Francisco, USA, Jun. 23-27, 2021.

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Professional Services

Statistics: Journal Reviewer - 2, Conference/Workshop Reviewer - 6, External Conference Reviewer - 19, External Journal Reviewer - 5

Journal Reviewer for:

  1. Data & Knowledge Engineering (DKE): 2024, 2025

  2. Frontiers in Big Data (FBD): 2024

Program Committee (PC) Member and Reviewer for:

  1. ACM SIGMOD ARI (Availability & Reproducibility Initiative): 2024

  2. International Conference on Machine Learning (ICML): 2024, 2025

  3. Conference on Neural Information Processing Systems (NeurIPS): 2024

  4. ACM The Web Conference (WWW): 2025

  5. International Conference on Learning Representations (ICLR): 2025

  6. International Conference on Artificial Intelligence and Statistics (AISTATS): 2025

  7. International Workshop on Next-Generation Big Graph Learning and Analytics (in conjunction with IEEE BigData Conference 2024)

External Conference Reviewer for:

  1. International Conference on Very Large Data Bases (VLDB): 2024, 2025

  2. IEEE International Conference on Data Engineering (ICDE): 2025

  3. International Conference on Extending Database Technology (EDBT): 2024, 2025

  4. ACM International Conference on Information and Knowledge Management (CIKM): 2023, 2024

  5. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD): 2023, 2024

  6. International Joint Conference on Artificial Intelligence (IJCAI): 2024

  7. The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD): 2023

  8. Pacific Asia Knowledge Discovery and Data Mining (PAKDD): 2024

  9. International Conference on Database Systems for Advanced Applications (DASFAA): 2023, 2025

  10. The Asia Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data (APWeb-WAIM): 2023, 2024

  11. International Conference on Advanced Data Mining and Applications (ADMA): 2023, 2024

  12. IEEE International Conference on Robotics and Automation (ICRA): 2024

  13. Design Automation Test in Europe (DATE): 2023

External Journal Reviewer for:

  1. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD): 2022

  2. Journal of Systems Architecture (JSA): 2021

  3. The International Journal of High-Performance Computing Applications (IJHPCA): 2020

  4. ACM Journal of Data and Information Quality (JDIQ): 2024

  5. Journal of Circuits, Systems and Computers (JCSC): 2023

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Honors and Awards

  1. Youth Talents Support Project (Doctoral Student Special Program), China Association for Science and Technology, East China Normal University, 2024

  2. National Scholarship (PhD Student), East China Normal University, 2023.

  3. Grant Program for Global Research Visits, East China Normal University, 2023.

  4. Outstanding Student of Software Engineering Institute, East China Normal University, 2023.

  5. Outstanding Graduate of Guangxi Province, Guangxi Normal University, 2020.

  6. National Scholarship (Undergraduate Student), Guangxi Normal University, 2019.

  7. National Scholarship (Undergraduate Student), Guangxi Normal University, 2018.

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