Qingyue Zhang  ã€Œå¼ æ¸…越」

Hi there, thanks for visiting my website! I am a Ph.D. Student at TBSI of THU, where I am fortunate to be advised by Prof. Shao-Lun Huang. Prior to that, I obtained my bachelor's degree (with honors) in computer science and technology at Xi'an Jiaotong University (2019-2023), and had wonderful time conducting research at the LUD lab advised by Prof. Minnan Luo.

My research is grounded in Machine Learning. Currently, my interests lie in applying information and statistical theory to analyze, interpret, and design machine learning and deep learning algorithms. I also have research experiences in social network analysis, natural language processing, and graph neural networks.

Email:  zhangqingyue2019 [at] gmail [dot] com  /  zhangqy23 [at] mails [dot] tsinghua [dot] edu [dot] cn

CV  /  Google Scholar  /  Twitter  /  Github

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Research (* indicates equal contribution)

Currently, my interests lie in applying information and statistical theory to analyze, interpret, and design machine learning and deep learning algorithms. I also have research experiences in social network analysis, natural language processing, and graph neural networks.

3DSP KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion
Zhaoxuan Tan, Zilong Chen, Shangbin Feng, Qingyue Zhang, Qinghua Zheng, Jundong Li, Minnan Luo
Proceedings of The Web Conference (WWW), 2023.
code / talk

We adopt contrastive learning and knowledge relational attention network to alleviate the widespread sparsity problem in knowledge graphs.

3DSP TwiBot-22: Towards Graph-Based Twitter Bot Detection
Shangbin Feng*, Zhaoxuan Tan*, Herun Wan*, Ningnan Wang*, Zilong Chen*, Binchi Zhang*, Qinghua Zheng, Wenqian Zhang, Zhenyu Lei, Shujie Yang, Xinshun Feng, Qingyue Zhang, Hongrui Wang, Yuhan Liu, Yuyang Bai, Heng Wang, Zijian Cai, Yanbo Wang, Lijing Zheng, Zihan Ma, Jundong Li, Minnan Luo
Proceedings of NeurIPS, Datasets and Benchmarks Track, 2022.
website / GitHub / bibtex / poster

We present TwiBot-22, the largest graph-based Twitter bot detection benchmark to date, which provides diversified entities and relations in Twittersphere and has considerably better annotation quality.

Education
Tsinghua University
Tsinghua Shenzhen International Graduate School
2023.09 - present

Ph.D. in Data Science and Information Technology (Belongs to the first-level discipline of Computer Science and Technology)
Advisor: Prof. Shao-Lun Huang
Xi'an Jiaotong University
2019.08 - 2023.07

B.E. in Computer Science and Technology (with honors)
Advisor: Prof. Minnan Luo
Northeast Yucai School
2016.09 - 2019.6

Mathematics Experimental Class
Academic Experiences
School of Computing Summer Workshop @ National University of Singapore

Research Assistant         2021.05 - 2021.07
Working on a project that aims to detect twitter bot through Graph Neural Networks.
Advisor: Prof. LEK Hsiang Hui
Luo lab Undergraduate Division (LUD) @ Xi'an Jiaotong University

Member         2021.09 - 2023.07
Conducted research on various topics including social network analysis, anomaly detection, few-shot learning, natural language processing.
Advisor: Prof. Minnan Luo
Honors & Awards
  • Top Project Runner Up, NUS SoC Summer Workshop, 2021
  • “ShuiYou” Scholarship for Outstanding Students, First Prize (rank 1/40 in Experimental Class), 2021
  • Dean's List, Xi'an Jiaotong University, 2020, 2021, 2022
  • Excellent Graduate Student, Xi'an Jiaotong University, 2023
Service
  • Reviewer: ICLR 2024, NeurIPS 2023

Template courtesy: Jon Barron.