Ziyue Qiao is currently a a tenure-track Asistant Professor at School of Computing and Information Technology, Great Bay University. He was a Postdoctoral Researcher at The Hong Kong University of Science and Technology (Guangzhou), supervised by Professor Hui Xiong (IEEE Fellow and AAAS Fellow). He received his Ph.D. degree in 2022 at the Computer Network Information Center, Chinese Academy of Sciences, supervised by Professor Yuanchun Zhou. He has industrial experience in 2021 at City Brain Lab, DAMO Academy, Alibaba, as a Research Intern. He received his B.E. degree in 2017 from the School of Computing, Wuhan University.
đ: I am actively seeking one Ph.D. student (in joint training with Harbin Institute of Technology Shenzhen), two Master students (in joint training with Shenzhen University), and are continuously recruiting Research Assistants. If you are passionate and creative, please feel free to contact me!
Research interests
His research interests encompass Data Mining, Graph Machine Learning, and Knowledge Graph. His previous work has primarily focused on the following areas:
- Transferable Machine Learning: Pre-training & fine-tuning, Prompt learning, Out-of-distribution Learning, Continual learning.
- Learning under Limited Supervision: Semi-supervised, Self-supervised learning, Data-centric learning on graphic data.
- Multimodal Learning: Multimodal alignment and fusion, graph learning enhanced by large language models (LLMs).
- AI for Academic Community: Academic knowledge graph, Scholar name disambiguation, Proposal classification, and Academic pre-trained model.
News
- đ 2024.04: One paper got accepted to PR 2024!
- đ 2024.04: One paper got accepted to ESWA 2024!
- đ 2024.02: One survey paper got accepted to Neural Networks! see Deep Graph Representation Learning.
- đ 2024.01: Invited to serve as PC members for IJCAI 2024, MM 2024, and KDD 2024.
- đ 2024.01: One paper got accepted to SCIENCE CHINA Information Sciences (SCIS), a CCF-A journal!
- đ 2023.11: Invited to serve as Reviewers for Neural Networks and TPAMI.
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Awards
- Best Ranked Papers of IEEE International Conference on Data Mining 2022
- Gold Medal of Biendata Competition âOAGâWhoIsWho track 1â 2019 (1st Place/131 teams)
- Beijing Outstanding Graduates Award in Beijing, China (Top 5%)
- Presidential Scholarship at Chinese Academy of Sciences (Top 1%)
- China Scholarship Council Scholarship for joint PhD students
- National Scholarship (the most prestigious scholarship in China) (Top 2%)
- Student Travel Award of IEEE International Conference on Big Data 2019
Academic Sevices
- Session Chair of âMining Graphsâ for IJCAI 2023 Macau
- PC Member/Conference Reviewer: IJCAI 2023ăKDD 2023ăCIKM 2023ăNeurIPS 2023ăSDM 2024ăWSDM 2024ăAAAI 2024ăWWW 2024ăICLR 2024ăMM 2024ăIJCAI 2024ăKDD 2024ăNeurIPS 2024
- Journal Reviewer: IEEE TPAMIăIEEE TLTăNeural NetworksăNeurocomputing