👨🏻‍🎓 About Me

乔子越老师目前是大湾区大学信息科学技术学院助理教授、PI、博士生导师。本科毕业于武汉大学计算机科学与技术专业，博士毕业于中国科学院大学计算机应用专业，博士后阶段加入香港科技大学（广州）、AAAI/IEEE/AAAS Fellow熊辉教授研究团队。主要研究方向为图学习、迁移学习、模型泛化和适应、持续学习等，致力于提升人工智能系统在复杂、动态与开放世界环境中的可靠性、适应性和持续泛化能力。他在ICLR、ICML、NeurIPS、ICCV、ICDE、IJCAI、AAAI、IEEE TNNLS、ACM TKDD、IEEE TII等人工智能和机器学习领域顶级学术会议和期刊发表50余篇论文，获得授权专利7项。他长期担任人工智能领域ICLR、ICML、NeurIPS、TPAMI等十余个顶级期刊会议的程序委员会成员或审稿人。他曾获得Biendata数据挖掘竞赛金奖、中国科学院“院长优秀奖”、ICDM 2022 Best Ranked Papers等荣誉。他作为项目负责人主持国家自然科学基金青年项目、广东省基础与应用基础研究基金地区培育项目、CCF-蚂蚁科研基金等科研项目等。

Hi! 👋 I’m Ziyue Qiao, a tenure-track Assistant Professor, PI, and Ph.D. Supervisor at the School of Computing and Information Technology(Computer Science) at Great Bay University(大湾区大学, GBU)🏛️. Previously, I was a Postdoctoral Researcher at The Hong Kong University of Science and Technology (Guangzhou), working with IEEE, AAAI, and AAAS Fellow Prof.Hui Xiong. I received my Ph.D. from the Computer Network Information Center, University of Chinese Academy of Sciences, under the supervision of by Prof.Yuanchun Zhou and co-supervision of Prof.Yi Du. I have gained industrial experience as a Research Intern at the City Brain Lab, DAMO Academy, Alibaba. I received my B.E. degree from the School of Computing at Wuhan University, working with Prof.Lefei Zhang.

🔍 My research interests include graph learning, transfer learning, model generalization and adaptation, continual learning. I am dedicated to enhancing the Reliability, Adaptability, and Generalization of AI systems in complex, dynamic, and open-world environments.

📣: We are actively seeking the positions listed below. Please feel free to email(ziyuejoe[AT]gmail[DOT]com) me with your CV!

• Postdocs (与清华大学博士后联合培养项目；与中国科学技术大学博士后联合培养项目),
• Senior Researcher (大湾区大学特任研究员),
• Research Assistants/Visiting Students (研究助理/访问学生),
• 26 Fall Ph.D. student (与哈尔滨工业大学（深圳）、东南大学联合培养)
• 25 Fall Masters’ student (与深圳大学联合培养)

🔥 News

• 2025.11: 1 paper got accepted to KDD 2026!
• 2025.11: 2 papers got accepted to AAAI 2026!
• 2025.10: 1 paper got accepted to IEEE TNNLS!
• 2025.09: 4 papers got accepted to NeurIPS 2025!
• 2025.08: 1 paper got accepted to CIKM 2025!
• 2025.07: 1 paper got accepted to AIJ!
• 2025.07: 2 papers got accepted to MM 2025!
• 2025.06: 1 paper got accepted to ICCV 2025!
• 2025.05: 2 papers got accepted to ACL 2025 (1 main, 1 Findings)!
• 2025.05: 1 paper got accepted to IEEE TII!
• 2025.04: 2 papers got accepted to ICML 2025!
• 2025.04: 4 papers got accepted to IJCAI 2025!
• 2025.03: 1 paper got accepted to ACM TOIS!
• 2025.03: Our survey Large Language Model Agent: A Survey on Methodology, Applications and Challenges is now on arXiv, thrilled about this emerging field!
• 2025.03: 1 paper got accepted to ICDE 2025!
• 2025.02: 1 paper got accepted to IEEE TMM!
• 2025.01: 1 paper got accepted to ICLR 2025!
• 2024.12: 3 papers got accepted to AAAI 2025!
• 2024.12: Invited to give a Keynote talk at Workshop on Data-Centric AI, ICDM 2024 in Abu Dhabi, UAE.

📝 Publications

* indicates the corresponding author.

ICML 2025

GCAL: Adapting Graph Models to Evolving Domain Shifts

Ziyue Qiao, Qianyi Cai, Hao Dong, Jiawei Gu, Pengyang Wang, Meng Xiao, Xiao Luo, Hui Xiong

in International Conference on Machine Learning (ICML), 2025.

ICLR 2025

Towards Continuous Reuse of Graph Models via Holistic Memory Diversification

Ziyue Qiao, Junren Xiao, Qingqiang Sun, Meng Xiao, Xiao Luo, Hui Xiong

in International Conference on Learning Representations (ICLR), 2025.

• TNNLS 2025 Adapting Graph Models via Target Integrity Assessment and Source Distribution Hypothesis Ziyue Qiao, Xiaomin Yu, Weiyu Guo, Xiao Luo, Meng Xiao, Hui Xiong. in IEEE Transactions on Neural Networks and Learning Systems. (TNNLS), 2025.

• NeurIPS 2025 Refining Norms: A Post-hoc Framework for OOD Detection in Graph Neural Networks Jiawei Gu, Ziyue Qiao*, Zechao Li*. in Annual Conference on Neural Information Processing Systems (NeurIPS), 2025.

• NeurIPS 2025 Train with Perturbation, Infer after Merging: A Two-Stage Framework for Continual Learning Haomiao Qiu, Miao Zhang*, Ziyue Qiao*, Liqiang Nie. in Annual Conference on Neural Information Processing Systems (NeurIPS), 2025.

• NeurIPS 2025 Revitalizing SVD for Global Covariance Pooling: Halley’s Method to Overcome Over-Flattening Jiawei Gu, Ziyue Qiao, Xinming Li, Zechao Li*. in Annual Conference on Neural Information Processing Systems (NeurIPS), 2025.

• NeurIPS 2025 Fourier Clouds: Fast Bias Correction for Imbalanced Semi-Supervised Learning Jiawei Gu, Yidi Wang, Qingqiang Sun, Xinming Li, Xiao Luo, Ziyue Qiao*. in Annual Conference on Neural Information Processing Systems (NeurIPS), 2025.

• ACL 2025 Disentangled Multi-span Evolutionary Network against Temporal Knowledge Graph Reasoning Hao Dong, Ziyue Qiao, Qi Hao, Yi Du, Pengyang Wang, Yuanchun Zhou. in Annual Meeting of the Association for Computational Linguistics (ACL Findings), 2025.

• ICCV 2025 Gradient Short-Circuit: Efficient Out-of-Distribution Detection via Feature Intervention Jiawei Gu, Ziyue Qiao*, Zechao Li*. in International Conference on Computer Vision (ICCV), 2025.

• MM 2025 Activation Shape Matters: OOD Detection with Norm-Entropy Fusion Jiawei Gu, Ziyue Qiao*, Zechao Li*. in ACM International Conference on Multimedia (MM), 2025.

• IJCAI 2025 SpectralGap: Graph-Level Out-of-Distribution Detection via Laplacian Eigenvalue Gaps Jiawei Gu, Ziyue Qiao*, Zechao Li*. in International Joint Conference on Artificial Intelligence (IJCAI), 2025.

• IJCAI 2025 NeuBM: Mitigating Model Bias in Graph Neural Networks through Neutral Input Calibration Jiawei Gu, Ziyue Qiao*, Xiao Luo. in International Joint Conference on Artificial Intelligence (IJCAI), 2025.

• ICDE 2025 FastFT: Accelerating Reinforced Feature Transformation via Advanced Exploration Strategies Tianqi He, Xiaohan Huang, Yi Du, Qingqing Long, Ziyue Qiao*, Min Wu, Yanjie Fu, Yuanchun Zhou, Meng Xiao*. in the IEEE International Conference on Data Engineering (ICDE), 2025.

• AAAI 2025 Single-View Graph Contrastive Learning with Soft Neighborhood Awareness Qingqiang Sun, Chaoqi Chen, Ziyue Qiao*, Xubin Zheng, Kai Wang*. in the AAAI Conference on Artificial Intelligence (AAAI), 2025.

• AAAI 2025 PRAGA: Prototype-aware Graph Adaptive Aggregation for Spatial Multi-modal Omics Analysis Xinlei Huang, Zhiqi Ma, Dian Meng, Yanran Liu, Shiwei Ruan, Qingqiang Sun, Xubin Zheng, Ziyue Qiao. In the AAAI Conference on Artificial Intelligence (AAAI), 2025.

• Full List of Publications

👨‍🏫 Teaching

• [Fall 2024] | SCIT-Generative Artificial Intelligence (Instructor: Ziyue Qiao, Guangcong Wang) | Great Bay University | Graduate-level

• [Fall 2025] | SCIT-Introduction to Computer Science (Practice Session Instructor) | Great Bay University | Undergraduate-level

💬 Invited Talks

• 2025.10.15 - 人工智能大模型科普 [PPTX]. 东莞中学松山湖学校960名中学生“高校行研学活动”之“走进湾大”, Great Bay University.

• 2025.01.02 - Invited Talk by Professor Xu Wang, “Graph Learning in an Out-Of-Distribution Perspective”. College of Computer Science and Software Engineering, Shenzhen University.

• 2024.12.09 - Keynote Presentation, “Adapting Graph Models under Domain Shifts: A Data-Centric Perspective”. 2024 IEEE International Conference on Data Mining (ICDM 2024), Workshop on Data-Centric AI, Abu Dhabi, the United Arab Emirates.

• 2023.05.31 - Talk and Panel, “Semi-supervised Domain Adaptation in Graph Transfer Learning” and “Large Language Model Debate”, 📰 AI TIME 论道: 粤港澳大湾区15位青年科学家共探AI之前沿｜5月31日, online.

📚 Academic Services

• Area Co-Chair: IC 2024
• PC Member/Conference Reviewer: IJCAI 2023, KDD 2023, CIKM 2023, NeurIPS 2023, NeurIPS 2023 Track Datasets and Benchmarks, SDM 2024, WSDM 2024, AAAI 2024, WWW 2024, ICLR 2024, MM 2024, IJCAI 2024, KDD 2024, NeurIPS 2024, NeurIPS 2024 Track Datasets and Benchmarks, AAAI 2025, WSDM 2025, ICLR 2025, WWW 2025, KDD 2025, IJCAI 2025, ICML 2025, MM 2025, NeurIPS 2025, AAAI 2026.
• Journal Reviewer: IEEE TPAMI, IEEE TNNLS, ACM TKDD, ACM TALLIP, IEEE TLT, Neural Networks, Neurocomputing, Pattern Recognition.