Yutong Ye

Yutong Ye

Beihang University

I am currently an Excellence Postdoc (卓越百人博士后) at the School of Computer Science and Engineering, Beihang University (BUAA), advised by Prof. Jianxin Li.

Previously, I was a Visiting Scholar at the Department of Computer Science, Kent State University (KSU), United State, advised by Prof. Xiang Lian and Prof. Ruoming Jin.

I received my Ph.D. Degree in June, 2025 from East China Normal University (ECNU), China, supervised by Prof. Mingsong Chen.

I obtained my Bachelor Degree in June, 2020 from Guangxi Normal University (GXNU), China, supervised by Prof. Xianxian Li and Prof. Jingli wu.

My research interests mainly include:

  • Graph Data Mining and Analysis

    • Graph Query Processing and Optimization

    • Graph Learning

  • Big Data

    • Efficient GNN Training

    • Time Series Data

    • Transportation Optimization

I have published more than 30 papers at top conferences and journals such as SIGMOD, VLDB, ICDE, AAAI, IJCAI.

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

I am open to collaborating in the fields of data mining and artificial intelligence. Please reach out if you are interested. (yutongye@buaa.edu.cn)

🔥 News

  • 2026.04:  🎉🎉 Our paper got accepted by ICS 2026 (CCF-B)!
  • 2026.02:  🎉🎉 Our paper got accepted by ICDE 2026 (CCF-A)!
  • 2025.12:  🎉🎉 Our paper got accepted by JSA 2025 (CCF-B)!
  • 2025.08:  🎉🎉 Our paper got accepted by SIGMOD 2026 (CCF-A)!
  • 2025.08:  🎉🎉 Our paper got accepted by CIKM 2025 (CCF-B)!
  • 2025.07:  🎉🎉 Our paper got accepted by VLDB 2025 (CCF-A)!
  • 2025.07:  🎉🎉 Our paper got accepted by SEKE 2025 (CCF-C)!
  • 2025.04:  🎉🎉 Our paper got accepted by IJCAI 2025 (CCF-A)!

📝 Publications

Journal

Statistics: PVLDB - 2, TCAD - 1, TIFS - 1, TSC - 1, JSA - 2, IJHPCA - 1, JS - 1, JCSC - 1, JPCS - 1, IET-ITS - 1

[J12] Jiepin Ding, Jun Xia, Yutong Ye, and Mingsong Chen. Effective reinforcement learning-based dynamic flexible job shop scheduling using two-stage dispatching. Journal of Systems Architecture (JSA, CCF-B), 2025. (IF=4.5).

[J11] Qi Wen, Yutong Ye, Xiang Lian and Mingsong Chen. S^3AND: Efficient Subgraph Similarity Search Under Aggregated Neighbor Difference Semantics. Proceedings of the Very Large Data Bases Conferences Endowment (PVLDB, CCF-A), 2025. (IF=2.86).

[J10] Shuhui Liang, Yutong Ye, and Jingli Wu. An Effective Hybrid Optimization Algorithm for Static Rebalance Problem of Bicycle-sharing System. IET Intelligent Transport Systems (IET-ITS, CCF-C), 2025. (IF=2.8).

[J9] 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, CCF-A), 2024. (IF=2.86).

[J8] 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, CCF-A), 2024. (IF=5.5).

[J7] 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, CCF-A), 2024. (IF=6.3).

[J6] 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, SCI), 2024. (IF=1.55).

[J5] 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, CCF-A), 2022. (IF=2.9).

[J4] 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, CCF-B), 2022. (IF=4.5).

[J3] 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, SCI), 2021. (IF=3.1).

[J2] 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, EI), 2019. (IF=0.48).

[J1] Jingli Wu, Yutong Ye, and Yong Wu. Roadside Unit Deployment Algorithm based on Useful Contribution. Journal of Software (JS, CCF-A), 2018. (IF=2.66).

Conference

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

[C17] Wujie Xiong, Hao Zhou, Yutong Ye, Ruoming Jin and Lei Xu. CipherSkip: Efficient Sparse Matrix Multiplication with FHE. ACM International Conference on Supercomputing (ICS, CCF-B), Belfast, Northern Ireland, United Kingdom, July 6-9, 2026.

[C16] Yang Liu, Mengyi Yan, Jiao Xue, Weilong Ren, Yutong Ye, Haoyi Zhou, Zhumin Chen, and Jianxin Li. SPARQ: A Cost-Efficient Framework for Offline Table Question Answering via Adaptive Routing. IEEE International Conference on Data Engineering (ICDE, CCF-A), Montréal, Canada, May 4-8, 2026.

[C15] Yutong Ye, Xiang Lian, Nan Zhang, and Mingsong Chen. Continuous Subgraph Matching via Cost-Model-based Dynamic Vertex Dominance Embeddings. International Conference on Management of Data (SIGMOD, CCF-A), Bengaluru, India, May 31-June 5, 2026.

[C14] 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.. The Conference on Information and Knowledge Management (CIKM, CCF-B), Seoul, Korea, Novemeber 10-14, 2025 (Acceptance Rate: 21.7%).

[C13] Yuyang Wang, Yutong Ye, Yingbo Zhou, Qi Wen, Xiang Lian, Xian Wei and Mingsong Chen. MuseCNN: Embedding-Guided Polyphonic Music Accompaniment Generation. International Conference on Software Engineering and Knowledge Engineering (SEKE, CCF-C), Pompeii, Italy, September 29-30, 2025. (Acceptance Rate: 36%).

[C12] Li Sun, Suyang Zhou, Bowen Fang, Hechuan Zhang, Junda Ye, Yutong Ye, Philip Yu. Trace: Structural Riemannian Bridge Matching for Transferable Source Localization. International Joint Conference on Artificial Intelligence (IJCAI, CCF-A), Montreal, Canada, August 16-22, 2025. (Acceptance Rate: 19.3%).

[C11] 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, CCF-B), Hyderabad, India, Apr. 6-11, 2025.

[C10] 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, CCF-B), Hyderabad, India, Apr. 6-11, 2025.

[C9] Yingbo Zhou, Yutong Ye, Pengyu Zhang, Xian Wei, and Mingsong Chen. Exact Fusion via Feature Distribution Matching for Few-shot Image Generation. Conference on Computer Vision and Pattern Recognition (CVPR, CCF-A), Seattle, USA, Jun. 17-21, 2024. (Acceptance Rate: 24%).

[C8] 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, CCF-A), Utrecht, Netherlands, May. 13-17, 2024. (Acceptance Rate: 20%).

[C7] Xiao Du, Yutong Ye, Pengyu Zhang, Yaning Yang, Mingsong Chen, and Ting Wang. Situation-Dependent Causal Influence-Based Cooperative Multi-Agent Reinforcement Learning. AAAI Conference on Artificial Intelligence (AAAI, CCF-A), Vancouver, Canada, Feb. 20-27, 2024. (Acceptance Rate: 24%).

[C6] Yang Yu, Yingbo Zhou, Yaokang Zhu, Yutong Ye, Liangyu Chen, and Mingsong Chen. ECKT: Enhancing Code Knowledge Tracing via Large Language Models. Cognitive Science Society Annual Conference (COGSCI, CCF-B), Rotterdam, Netherlands, Jul. 24-27, 2024.

[C5] 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, CCF-A), Taipei, China, Dec. 5-8, 2023. (Acceptance Rate: 28%).

[C4] 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, CCF-C), Ocean Flower Island, China, Dec. 17-21, 2023. (Acceptance Rate: 37%).

[C3] 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, CCF-A), Macao, China, Aug. 19-25, 2023. (Acceptance Rate: 14%).

[C2] 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, CCF-A), San Francisco, USA, Jun. 23-27, 2021. (Acceptance Rate: 23%).

[C1] 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, CCF-C), Changchun, China, Aug. 17-19, 2018. (Acceptance Rate: 18%).

Technical Report

Statistics: Technical Report - 12

[R12] Wujie Xiong, Hao Zhou, Yutong Ye, Ruoming Jin, and Lei Xu. Scaling Sparse Matrix Computation for Secure Outsourced Computing. Cryptology ePrint Archive, Paper 2026/297, 2025.

[R11] Qi Wen, Xiang Lian, Nan Zhang, Yutong Ye, and Mingsong Chen. S3GND: An Effective Learning-Based Approach for Subgraph Similarity Search Under Generalized Neighbor Difference Semantics (Technical Report). arXiv: 2602.19167, 2026.

[R10] Qi Wen, Yutong Ye, Xiang Lian, and Mingsong Chen. S3AND: Efficient Subgraph Similarity Search Under Aggregated Neighbor Difference Semantics (Technical Report). arXiv: 2505.00393, 2025.

[R9] 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.

[R8] Nan Zhang, Yutong Ye, Yuyang Wang, Xiang Lian, and Mingsong Chen. Effective Community Detection Over Streaming Bipartite Networks (Technical Report). arXiv:2411.01424, 2024.

[R7] 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.

[R6] 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.

[R5] Qi Wen, Nan Zhang, Yutong Ye, Xiang Lian, Mingsong Chen. Reverse Influential Community Search Over Social Networks (Technical Report). arXiv:2405.01510, 2024.

[R4] 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.

[R3] Nan Zhang, Yutong Ye, Xiang Lian, and Mingsong Chen. Top-L Most Influential Community Detection Over Social Networks (Technical Report). arXiv:2311.13162, 2023.

[R2] Yutong Ye, Xiang Lian, and Mingsong Chen. Efficient Exact Subgraph Matching via GNN-based Path Dominance Embedding (Technical Report). arXiv:2309.15641, 2023.

[R1] 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.

💻 Research Projects and Grants

  • [PI] Research on Deep Learning Modeling and Processing Mechanisms for Complex Graph Queries. General Program of the China Postdoctoral Science Foundation (CPSF), 80K RMB. (中国博士后科学基金资助面上资助)

  • [PI] Youth Talents Support Project - Doctoral Student Special Program, China Association for Science and Technology, 40K RMB. (中国科协青年人才托举工程博士生专项)

  • [PI] Research on Intelligent Transportation System Based on Deep Learning. East China Normal University Academic Innovation Promotion Program for Excellent Doctoral Students, 30K RMB. (华东师范大学优秀博士生学术创新能力提升计划)

  • [PI] Study of Droplet Merging and Bouncing Phenomena using the Lattice Boltzmann Method. National Undergraduate Training Programs for Innovation and Entrepreneurship, 14K RMB. (国家级大学生创新创业训练计划)

  • [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. (省级大学生创新创业训练计划)

  • [PI] Research on RSU Deployment Problem based on Intelligent Optimization Algorithm, National Undergraduate Training Programs for Innovation and Entrepreneurship, 4K RMB. (省级大学生创新创业训练计划)

  • [Co-PI] Research on intelligent landslide identification and early warning driven by physics and data. Shanghai Cross-innovation Science and Education Integration Fund (Intelligent Science and Technology Category IV Peak Discipline), 50K RMB. (上海市智能科学与技术IV类高峰学科“交叉创新科教融合基金”)

  • [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. (上海市智能科学与技术IV类高峰学科“交叉创新科教融合基金”)

  • [RA] Intelligent computing of big data on network behavior. The National Science Fund for Distinguished Young Scholars. 4M RMB. (国家杰出青年科学基金项目)

  • [RA] Key technologies and applications of information-physical fusion in smart cities. National Key Research and Development Program, 17M RMB. (国家重点研发计划重点专项)

  • [RA] Collaborative Research: PPoSS: Planning: Efficient and scalable learning and management of distributed probabilistic graphs. U.S. National Science Foundation, 101K USD. (美国国家自然科学基金)

  • [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. (国家自然科学基金面上项目)

  • [RA] Research on key technologies for efficient and trusted construction of cloud-end cyber-physical systems. Natural Science Foundation of China, 0.54M RMB. (国家自然科学基金面上项目)

📐 Teaching

Teaching Assistant for:

  • 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

💬 Talks and Presentations

  • [Invited Talk] Research on Intelligent Traffic Signal Control Based on Reinforcement Learning. China Computer Federation Embedded Systems Technical Committee (CCF ESTC), Xian, China, Aug. 15-17, 2025.

  • [Invited Talk] Learning-based Graph Query Optimization. Next-Generation Big Graph Learning and Analytics (co-located with IEEE BigData 2024), Washington D.C., Dec. 15, 2024

  • [Oral] Efficient Exact Subgraph Matching via GNN-based Path Dominance Embedding. International Conference on Very Large Databases (VLDB), Guangzhou, China, Aug. 26-30, 2024.

  • [Poster] 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.

  • [Oral] Situation-Dependent Causal Influence-Based Cooperative Multi-Agent Reinforcement Learning. AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, Feb. 20-27, 2024.

  • [Poster] Brief Industry Paper: RTLight: Digital Twin-based Real-Time Federated Traffic Signal Control. Real-Time Systems Symposium (RTSS), Taipei, China, Dec. 5-8, 2023.

  • [Oral] 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.

  • [Oral] FedLight: Federated Reinforcement Learning for Autonomous Multi-Intersection Traffic Signal Control. Design Automation Conference (DAC), San Francisco, USA, Jun. 23-27, 2021.

🎓 Professional Services

Statistics: Journal Reviewer - 6, Conference/Workshop Reviewer - 11, External Conference Reviewer - 13, External Journal Reviewer - 8

Journal Reviewer for:

  • IEEE Transactions on Computers (TC)

  • IEEE Transactions on Big Data (TBD)

  • Knowledge and Information Systems (KIS)

  • Data & Knowledge Engineering (DKE)

  • Frontiers in Big Data (FBD)

  • Journal of Circuits, Systems, and Computers (JCSC)

Program Committee (PC) Member and Reviewer for:

  • ACM SIGMOD ARI (Availability & Reproducibility Initiative): 2024

  • ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD): 2026

  • International Conference on Machine Learning (ICML): 2025, 2026

  • Conference on Neural Information Processing Systems (NeurIPS): 2024, 2025, 2026

  • ACM The Web Conference (WWW): 2025, 2026

  • International Conference on Learning Representations (ICLR): 2025, 2026

  • AAAI Conference on Artificial Intelligence (AAAI): 2026

  • International Joint Conference on Artificial Intelligence (IJCAI-ECAI): 2026

  • International Conference on Artificial Intelligence and Statistics (AISTATS): 2025, 2026

  • The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD): 2025, 2026

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

External Conference Reviewer for

  • International Conference on Very Large Data Bases (VLDB): 2024, 2025, 2026

  • IEEE International Conference on Data Engineering (ICDE): 2025, 2026

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

  • ACM International Conference on Information and Knowledge Management (CIKM): 2024, 2025

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

  • International Joint Conference on Artificial Intelligence (IJCAI): 2024, 2025

  • The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD): 2023, 2025

  • Pacific Asia Knowledge Discovery and Data Mining (PAKDD): 2024, 2025, 2026

  • International Conference on Database Systems for Advanced Applications (DASFAA): 2023

  • The Asia Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data (APWeb-WAIM): 2023 - 2025

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

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

  • Design Automation Test in Europe (DATE): 2023

External Journal Reviewer for

  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD)

  • Journal of Systems Architecture (JSA)

  • Journal of Circuits, Systems and Computers (JCSC)

  • IEEE Transactions on Services Computing (IEEE TSC)

  • IEEE Transactions on Information Forensics and Security (IEEE TIFS)

  • ACM Journal of Data and Information Quality (JDIQ)

  • The International Journal of High-Performance Computing Applications (IJHPCA)

  • IET Intelligent Transport Systems (IET-ITS)

🏆 Honors and Awards

  • 2025, Outstanding Doctoral Dissertation Award of CCF Embedded Systems Technical Committee. 中国计算机学会嵌入式系统专委博士学位论文激励计划

  • 2025, Outstanding Graduate of Shanghai. 上海市优秀毕业生

  • 2024, Youth Talents Support Project (Doctoral Student Special Program), China Association for Science and Technology. 中国科协青年人才托举工程博士生专项（首批）

  • 2023, China National Scholarship (Ph.D. Student). 国家奖学金

  • 2023, Grant Program for Global Research Visits, East China Normal University. 华东师范大学访学资助

  • 2023, Outstanding Student of Software Engineering Institute, East China Normal University. 软件工程学院“杰出学生青年”

  • 2022, Chinese Scholarship Council (Joint Doctoral Program). 留学基金委联培资助

  • 2020, Outstanding Graduate of Guangxi Province. 广西区优秀毕业生

  • 2019, President Scholarship of Guangxi Normal University. 校长奖学金

  • 2019, China National Scholarship (Undergraduate Student). 国家奖学金

  • 2018, China National Scholarship (Undergraduate Student). 国家奖学金