Chaoqi Jia is currently pursuing her PhD in AISSC school at RMIT University, Australia. Her research interests include machine learning, algorithm design, Large Language Models and privacy protection.
Supervisors
Selected publications
- Longkun Guo*, Chaoqi Jia*, Kewen Liao*, Zhigang Lu* & Minhui Xue*, 2024, ‘Efficient Constrained k-Center Clustering with Background Knowledge’, In Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI-24), 38, no. 18, pp. 20709-20717. 2024. (Top-2 Conference in Artificial Intelligence, CCF A, Alphabetical Order)
- Zeyu Lin, Longkun Guo, Chaoqi Jia, 2024, ‘Streaming Fair k-Center Clustering over Massive Dataset with Performance Guarantee’, In Proceedings of the 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp. 105-117. Singapore: Springer Nature Singapore, 2024. (CCF C)
- Chaoqi Jia, Longkun Guo*, Kewen Liao*, Zhigang Lu*, 2023, ‘Efficient Algorithm for the k-Means Problem with Must-Link and Cannot-Link Constraints’, Tsinghua Science and Technology, v28, no. 6 (2023): 1050-1062. (JCR Q1, *: Equal Contribution)