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 focuses on data mining, graph learning, and AI for Science (AI4S). Currently, I specialize in developing parameter-efficient and data-efficient learning frameworks for Graph Neural Networks (GNNs) and other Foundation Models, with an emphasis on model adaptation, continual learning, model fusion, 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!
- 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 Ph.D. student (与哈尔滨工业大学（深圳）联合培养)25 Fall Masters’ student (与深圳大学联合培养)
🔥 News
- 2025.03: One paper got accepted to ACM TOIS!
- 2025.03: One survey Large Language Model Agent: A Survey on Methodology, Applications and Challenges is now on arXiv, thrilled about this emerging field!
- 2025.03: One paper got accepted to ICDE 2025!
- 2025.02: One paper got accepted to IEEE TMM!
- 2025.01: One paper got accepted to ICLR 2025!
- 2024.12: Three 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.
- 2024.09: One paper got accepted to NeurIPS 2024!
📝 Publications
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.
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.
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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.
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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.
👨🏫 Teaching
- [2024 Fall] SCIT-Generative Artificial Intelligence (Instructor: Ziyue Qiao, Guangcong Wang)
💬 Invited Talks
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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.
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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.
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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 of 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.
- Journal Reviewer: IEEE TPAMI, IEEE TNNLS, ACM TKDD, ACM TALLIP, IEEE TLT, Neural Networks, Neurocomputing, Pattern Recognition.