Data Exploring and Extracting @ PolyU (DEEP Lab)

Xiao HUANG

Assistant Professor in COMP at PolyU

Ph.D. Students

Qinggang Zhang

Fall 2021-

Junnan Dong

Summer 2022-

Huachi Zhou

Fall 2022-

Chuang Zhou

Fall 2022-

Jiahe Du

Fall 2022-

Chang Yang

Summer 2023-

Yuxuan Xie

Summer 2023-

Zhu Wang

Fall 2023-

Zheng Yuan

Fall 2023-

Yilin Xiao

Fall 2024-

Su Dong

Fall 2024-

Yujing Zhang

Fall 2024-

Zijin Hong

Spring 2025-

Postdoctoral Fellow

Hao Chen

March 2023-Nov 2024

Shengyuan Chen

Dec 2024-, co-supervised with Prof. Jiannong CAO

Open Positions

We are looking for self-motivated Ph.D. students and postdocs (fully funded), who are interested in pursuing data mining and machine learning research. Students with a strong background in Computer Science, Electrical Engineering, Statistics, Mathematics, or other related disciplines are strongly encouraged to apply. Self-funded visiting students/scholars are also welcome. Please feel free to drop an email to xiaohuang@comp.polyu.edu.hk with your CV.

Alumni

Shengyuan Chen

Ph.D., fall 2019-Dec 2024, first employment: postdoc at PolyU

Shuang Zhou

Ph.D., fall 2020-spring 2024, first employment: postdoc at University of Minnesota

Liqiao Xia

Ph.D., fall 2020-fall 2023, first employment: postdoc at Case Western Reserve University

• Keyu Duan, Research Assistant, Feb 2021- May 2022

• Zhaoqing Li, Research Assistant, Nov 2021 - Feb 2022

• Qiaoyu Tan, Research Assistant, Dec 2020 - Aug 2021

• Zhiming Xu, Research Assistant, Dec 2020 - June 2021




• Jingwen Wu, M.S. student, Graduated in 2023, thesis: Large language model-enhanced knowledge graph embedding

• Chongyuan Sun, M.S. student, Graduated in 2023, thesis: A new benchmark dataset for text-attributed graph learning

• Wanqi Zhuang, M.S. student, Graduated in 2023, thesis: Infomax relation hypergraph for inductive knowledge graph completion

• Yanjing Zhou, M.S. student, Graduated in 2023, thesis: Leaderboard for unsupervised node representation learning

• Tongzhou Zhou, M.S. student, Graduated in 2023, thesis: Structural information and large language models based entity alignment in knowledge graph

• Wanying Wang, M.S. student, Graduated in 2023, thesis: Graph anomaly detection with noisy labels based on reinforcement learning

• Jiahuan Wang, M.S. student, Graduated in 2023, thesis: Attributed knowledge graph construction for college education

• Yong Shen, M.S. student, Graduated in 2023, thesis: Personalized generated explanation for recommender systems

• Maiqi Jiang, M.S. student, Graduated in 2023, thesis: Automated heterogeneous network learning with non-recursive message passing

• Wentao Li, M.S. student, Graduated in 2022, thesis: Constructing low-redundant and high-accuracy knowledge graphs for education

• Tiange Xiang, M.S. student, Graduated in 2022, thesis: Contrastive knowledge graph error detection

• Xin Zhang, M.S. student, Graduated in 2021, thesis: Collaborative graph neural networks for unsupervised representation learning

• Zihao Zhao, M.S. student, Graduated in 2021, thesis: Interactive ensemble learning for knowledge graph error detection

• Zhihao Guo, M.S. student, Graduated in 2021. He is now a Ph.D. student at Department of Infectious Diseases and Public Health, City University of Hong Kong