Dong Qiao
Professional experiences
- Angstrom Excellence: Intern for overlay prediction by machine learning since July, 2026.
Educational background
- PhD student (The Chinese University of Hong Kong, Shenzhen)
- MSc in Management (Central South University)
- BSc in Management - Major, LLB - Minor (Zhengzhou University)
Selected publications
- Dong Qiao, Chris Ding, Jicong Fan, Bridging Graph Worlds: Neural Approximation of Gromov-Wasserstein Distances, NeurIPS 2026, Accepted.
- Dong Qiao, Xinxian Ma, Jicong Fan, Federated t-SNE and UMAP for Distributed Data Visualization, AAAI 2025, Accepted.
- Dong Qiao, Chris Ding, Jicong Fan, Federated Spectral Clustering via Secure Similarity Reconstruction, NeurIPS 2023, Accepted.
- Zixiao Wang, Dong Qiao, Jicong Fan. Spectral clustering for discrete distributions. NCAA 2026, Accepted
- Dong Qiao, Xiao-kang Wang, Jian-qiang Wang, Lin Li. Maximum entropy-based method for extracting the underlying probability distributions of z-number. Applied and Computational Mathematics: An International Journal. 2024, 23(2): 201-218.
- Dong Qiao, Kai-wen Shen, Jian-qiang Wang, Tie-li Wang, Multi-criteria PROMETHEE method based on possibility degree with Z-numbers under uncertain linguistic environment, Journal of Ambient Intelligence and Humanized Computing, 2020, 11(5): 2187-2201.
- Dong Qiao, Yi-ting Wang, Jian-qiang Wang, Hanyang Luo, Lin Li. Likelihood-based qualitative flexible approach to ranking of Z-numbers in decision problems, Computational and Applied Mathematics, 2020, 39(2): 134.
- Dong Qiao, Xiao-kang Wang, Jian-qiang Wang, Ke Chen, Cross entropy for discrete Z-numbers and its application in multi-criteria decision-making, International Journal of Fuzzy Systems, 2019, 21(6): 1786-1800.
- Kai-wen Shen, Xiao-kang Wang, Dong Qiao, Jian-qiang Wang, Extended Z-MABAC method based on regret theory and directed distance for regional circular economy development program selection with Z-information, IEEE Transactions on Fuzzy Systems, 2020, 28(8): 1851-1863.
Teaching experiences
- 2023 Fall: DDA3020 Machine Learning, Teaching assistant (L)
- 2023 Spring: DDA4210 Advanced Machine Learning, Teaching assistant (L)
- 2022 Fall: STA4001 Stochastic Process, Teaching assistant
- 2022 Spring: DDA2001 Introduction to Data Science, Teaching assistant
- 2021 Fall: CSC3001 Discrete Mathematics, Teaching assistant
Honors
- November 2023: SDS TA/USTF Award, The Chinese University of Hong Kong, Shenzhen
- June 2020: Excellent Graduates, Central South University
- May 2020: Excellent Graduates, Hunan Province Education Department
- December 2019: National Scholarship for Postgraduates, Ministry of Education