Yutong Ye

Yutong Ye

Zhejiang Sci-Tech University

I am currently an Associate Professor (特聘副教授) at the College of Computer Science and Technology, Zhejiang Sci-Tech University (ZSTU), Hangzhou, China.

Previously, I was an Excellence Postdoctoral Fellow (卓越百人博士后) at Beihang University (BUAA) from 2025 to 2026, working with Prof. Jianxin Li. From 2024 to 2025, I was a Visiting Scholar at the Department of Computer Science, Kent State University, USA, working with Prof. Xiang Lian and Prof. Ruoming Jin.

I received my Ph.D. in Software Engineering from East China Normal University (ECNU) in 2025, supervised by Prof. Mingsong Chen. I received my bachelor’s degree in Computer Science and Technology from Guangxi Normal University (GXNU) in 2020, supervised by Prof. Xianxian Li and Prof. Jingli wu.

My research lies at the intersection of intelligent data management and AI infrastructure. I develop data management, analytics, and learning systems for complex interconnected data and AI applications. My research interests include:

  • Data Systems for AI and Intelligent Data Management: AI-ready databases; data preparation, organization, and retrieval for large language models and AI agents; intelligent query optimization and automated data analytics.

  • Graph Data Management and Analytics: Graph databases, graph query processing and optimization, subgraph matching, community discovery, and efficient graph mining.

  • Graph Learning and Applications: Graph machine learning and graph neural networks, time series and spatiotemporal data analysis, with applications in intelligent transportation and urban computing.

I have published more than 50 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 welcome research collaborations in data management, graph analytics, and artificial intelligence. Please feel free to contact me at ytye@zstu.edu.cn.

🔥 News

  • 2026.09:  🎉🎉 Our paper got accepted by NeurIPS 2026 (CCF-A)!
  • 2026.09:  🎉🎉 Our paper got accepted by SIGMOD 2027 (CCF-A)!
  • 2026.08:  🎉🎉 Our paper got accepted by ICDM 2026 (CCF-B)!
  • 2026.08:  🎉🎉 Our paper got accepted by CIKM 2026 (CCF-B)!
  • 2026.08:  🎉🎉 Our paper got accepted by IEEE TCAD (CCF-A)!
  • 2026.07:  🎉🎉 Our paper got accepted by ESWEEK (CODES) 2026 (CCF-B)!
  • 2026.05:  🎉🎉 Our paper got accepted by KDD 2026 (CCF-A)!
  • 2026.05:  🎉🎉 Our paper got accepted by IJCAI 2026 (CCF-A)!
  • 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

# Equal Contribution

Journal

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

[J13] Zhe Feng, Yutong Ye#, Jianxun Zhou, Wenbin Guo, Lihua Xu, Wendong Lu, Yunlai Zhu, Zuyu Xu, Zuheng Wu, and Yuehua Dai. SpiceDiff-Agent: Simulation-Efficient LLM-Guided Planning for Specification-Driven Analog Circuit Netlist Repair. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD, CCF-A), 2026. (IF=2.9).

[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 - 2, ICDE - 2, KDD - 1, NeurIPS - 1, AAAI - 1, IJCAI - 3, CVPR - 1, DAC - 1, RTSS - 1, CIKM - 2, ICDM - 1, CODES - 1, ICS - 1, ICASSP - 2, COGSCI - 1, KSEM - 1, ICPADS - 1, SEKE - 1

[C24] Yingbo Zhou, Yutong Ye, Shuhao Li, Rui Qian, Qiang Huang, Lemao Liu, Li Sun, and Dejing Dou. PAMod: Modeling Cyclical Shifts via Phase-Amplitude Modulation for Non-stationary Time Series Forecasting. Annual Conference on Neural Information Processing Systems (NeurIPS, CCF-A), Sydney, Australia, December 6-12, 2026.

[C23] Mengyi Yan, Dejun Chen, Weilong Ren, Yutong Ye, Haoyi Zhou, and Xiuzhen Cheng. DynaGraph: Holistic Optimization for Latency-Critical GraphRAG Serving via Bidirectional Feedback. ACM SIGMOD/PODS International Conference on Management of Data (SIGMOD, CCF-A), Huntington Beach, CA, USA, June 13-19, 2027.

[C22] Suyang Zhou, Hechuan Zhang, Li Sun, Yutong Ye, Philip S. Yu, and Mingsong Chen. Escaping the Mirror Trap: Parity-Harmonized Flow Matching on Riemannian Manifolds for Peptide Design. IEEE International Conference on Data Mining (ICDM, CCF-B), Shenyang, China, November 12-15, 2026 (Acceptance Rate: 19.4%).

[C21] Qinghao Chi, Chenglin Liu, Ting Deng, Ping Lu, Yutong Ye, and Chao Tian. GCLS$^2$: Towards Efficient Community Detection Using Graph Contrastive Learning with Structure Semantics. The Conference on Information and Knowledge Management (CIKM, CCF-B), Rome, Italy, November 7-11, 2026 (Acceptance Rate: 27%).

[C20] Zhe Feng, Yutong Ye#, Jianxun Zhou, Wenbin Guo, Lihua Xu, Wendong Lu, Yunlai Zhu, Zuyu Xu, Zuheng Wu, and Yuehua Dai. SpiceDiff-Agent: Simulation-Efficient LLM-Guided Planning for Specification-Driven Analog Circuit Netlist Repair. IEEE/ACM Embedded Systems Week (ESWEEK (CODES), CCF-B), Barcelona, Spain, October 4-9, 2026.

[C19] Yuhan Wang, Yibo Ding, Yutong Ye, Mufan Zhao, Wenbo Zhang, Ruijie Wang, and Jianxin Li. G^2LoRA: Gradient Orthogonal Low-Rank Adaptation Framework for Graph Continual Learning on Text-Attributed Graphs. Conference on Knowledge Discovery and Data Mining (KDD, CCF-A), Jeju, Korea, August 9-13, 2026.

[C18] Yiyang Zhang, Yutong Ye, Yingbo Zhou, Nan Zhang, Xiang Lian, and Mingsong Chen. Similarity-guided Structural Matching Learning for Graph Dataset Condensation. International Joint Conference on Artificial Intelligence (IJCAI, CCF-A), Bremen, Germany, August 15-21, 2026.

[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 - 18

[R18] Yuhan Wang, Yibo Ding, Yutong Ye, Mufan Zhao, Wenbo Zhang, Ruijie Wang, and Jianxin Li. G2LoRA: Gradient Orthogonal Low-Rank Adaptation Framework for Graph Continual Learning on Text-Attributed Graphs. arXiv: 2606.01873, 2026.

[R17] Xuefei Wang, Jialu Wang, Fengbo Zhang, Yihan Hu, Di Zhang, Yutong Ye, Yikun Ban, Jun Han, and Ruijie Wang. MasFACT: Continual Multi-Agent Topology Learning via Geometry-Aware Posterior Transfer. arXiv: 2605.17361, 2026.

[R16] Yingbo Zhou, Yutong Ye, Zhiwei Ling, Shuhao Li, Rui Qian, Jian Xiong, Li Sun, and Dejing Dou. PAMNet: Cycle-aware Phase-Amplitude Modulation Network for Multivariate Time Series Forecasting. arXiv: 2605.02938, 2026.

[R15] Yingbo Zhou, Yutong Ye, Shuhao Li, Rui Qian, Qiang Huang, Lemao Liu, Li Sun, and Dejing Dou. PAMod: Modeling Cyclical Shifts via Phase-Amplitude Modulation for Non-stationary Time Series Forecasting. arXiv: 2605.00466, 2026.

[R14] Yutong Ye, Weilong Ren, Yang Liu, Mengyi Yan, Ruijie Wang, Li Sun, Jianxin Li, and Philip S. Yu. LIVE: Learnable Monotonic Vertex Embedding for Efficient Exact Subgraph Matching (Technical Report). arXiv: 2604.19116, 2026.

[R13] Beibei Xu, Yutong Ye, Chuyun Shen, Yingbo Zhou, Cheng Chen, and Mingsong Chen. HyEvo: Self-Evolving Hybrid Agentic Workflows for Efficient Reasoning. arXiv: 2603.19639, 2026.

[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] Postdoctoral Fellowship Program of China Postdoctoral Science Foundation (CPSF), 240K RMB. (国家资助博士后研究人员计划C档资助)

  • [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:

  • Transactions on Machine Learning Research (TMLR)

  • 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

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

  • 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

  • ACM International Conference on Information and Knowledge Management (CIKM): 2026

  • International Conference on Web Search and Data Mining (WSDM): 2027

  • International Conference on Artificial Intelligence and Statistics (AISTATS): 2025, 2026, 2027

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

  • Web Information Systems Engineering Conference (WISE): 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, 2024, 2025, 2026

  • 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