Zhuoning Guo 郭茁宁

Zhuoning Guo 郭茁宁

2nd-Year PhD @HKUST(GZ) & HKUST | Research Intern @MSRA & @Baidu | BE @HIT 22' | OIer

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Welcome to Zhuoning Guo (郭茁宁) ‘s homepage!

I’m a $3^{rd}$-year Ph.D. student at AI Thrust, Information Hub, The Hong Kong University of Science and Technology (Guangzhou), supervised by Prof. Hao Liu (刘浩) and Prof. Qiang Yang (杨强). I received my bachelor degree of software engineering from Computing Faculty, Harbin Institute of Technology, at June, 2022. My research interests include graph learning, federated learning, large language model, and data mining.

I was a visiting student at Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, supervised by Prof. Yangqiu Song. Before starting my Ph.D. career, I was a research intern at Baidu Research, supervised by Prof. Hui Xiong and collaborate with Baidu Talent Intelligence Center, supervised by Dr. Hengshu Zhu. At earlier years of undergraduate, I was a research intern at DKI Group, Microsoft Research Asia supervised by Dr. Shizhao Sun, an undergraduate intern supervised by Prof. Hongzhi Wang, and a research assistant supervised by Prof. Jia Li.

During my undergraduate life in HIT, I’m honored as the chairman of HIT Massive Data Club, captain of Football Team of Computing Faculty, HIT and president of HIT Chess Club.

Here is my latest curriculum vitae.

News

  • [2024.08] I move back to HKUST(GZ), Guangzhou, China, to continue my Ph.D. study.
  • [2024.05] Our work on hierarchical federated graph learning is accepted by SIGKDD 2024. Thanks for co-authors from HKUST(GZ) and HKUST.
  • [2024.01] I move from HKUST(GZ) to HKUST, Hong Kong SAR, China, to continue my Ph.D. study.
  • [2023.12] Our work on skill demand-supply joint prediction is accepted by AAAI 2024. Thanks for my co-authors from HKUSTGZ and Boss Inc.
  • [2022.11] Our work on human mobility modeling in COVID-19 is accepted by AAAI 2023. Thanks for my co-authors from HKUST and Tencent AI Lab!
  • [2022.09] I officially start my Ph.D. research journey at HKUSTGZ!
  • [2022.06] I graduate from Harbin Institute of Technology and receive BEng at Faculty of Computing. Thanks for all my past advisors, friends and teammates from HIT!
  • [2022.06] Our football team win the second place and achieve promotion in HIT Cup. Say goodbye to my football career as the captain of Football Team of Computing Faculty, HIT.
  • [2022.05] Our work on talent demand-supply joint prediction is accepted by SIGKDD 2022. Thanks for co-authors from HKUST, Baidu and USTC!
  • [2022.02] Our work on graphic design refining is accepted by TVCG (done during internship at MSRA). Thanks for co-authors from MSRA, PKU and XJTU.
  • [2021.10] I join Baidu Research, Baidu Inc, as a research intern.
  • [2020.11] I join Microsoft Research Asia as a research intern.
  • [2020.05] I join Massive Data Computing Lab, HIT, as an undergraduate intern.

Publications

  • [Arxiv] Zhuoning Guo, Ruiqian Han, Hao Liu*. Against Multifaceted Graph Heterogeneity via Asymmetric Federated Prompt Learning.
  • [KDD 2024 Oral] Zhuoning Guo, Duanyi Yao, Qiang Yang, Hao Liu*. HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning. Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • [Arxiv] Zhuoning Guo, Hao Liu*, Le Zhang, Qi Zhang, Hengshu Zhu, Hui Xiong. Convergence-aware Clustered Federated Graph Learning Framework for Collaborative Inter-company Labor Market Forecasting.
  • [Arxiv] Zhuoning Guo, Le Zhang, Hengshu Zhu, Weijia Zhang, Hui Xiong, Hao Liu*. Labor Migration Modeling through Large-scale Job Query Data.
  • [AAAI 2024 Oral] Wen Shuo Chao, Zhaopeng Qiu, Likang Wu, Zhuoning Guo, Zhi Zheng, Hengshu Zhu*, Hao Liu*. A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction. Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence
  • [AAAI 2023] Yang Liu, Yu Rong, Zhuoning Guo, Nuo Chen, Tingyang Xu, Fugee Tsung, Jia Li. Human Mobility Modeling During the COVID-19 Pandemic via Deep Graph Diffusion Infomax. Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence
  • [KDD 2024 Oral] Zhuoning Guo, Hao Liu*, Le Zhang, Qi Zhang, Hengshu Zhu, Hui Xiong*. Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-Learning. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • [TVCG] Wenyuan Kong, Zhaoyun Jiang, Shizhao Sun, Zhuoning Guo, Weiwei Cui, Ting Liu, Jian-Guang Lou, Dongmei Zhang. Aesthetics++: Refining Graphic Designs by Exploring Design Principles and Human Preference. IEEE Transactions on Visualization & Computer Graphics

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Counting starts from March, 2024.

The page is update at Nov. 11, 2024.