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 focused on data mining, graph learning, and knowledge graph. Currently, I specialize in Reliability, Adaptability, and Generalization of AI systems across dynamic and open-world environments, with an emphasis on model adaptation, continual learning, model merging, and data-centric learning. I also apply these methodologies to real-world applications such as social networks analysis, recommendation systems, and bioinformatics.

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

• 26 Fall Ph.D. student (与哈尔滨工业大学（深圳）联合培养)
• 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),
• 25 Fall Masters’ student (与深圳大学联合培养)

🔥 News

• 2025.09: 4 papers got accepted to NeurIPS 2025!
• 2025.08: Invited to serve as an Area Chair of ICLR 2026.
• 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.

• 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, Fall 2025] | 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

• 2025.01.02 - 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 Chair: ICLR 2026, 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.