Zhuoning Guo 郭茁宁

Zhuoning Guo 郭茁宁

3rd-Year PhD @HKUST(GZ) & HKUST | Research Intern @MSRA & @Baidu | BE @HIT 22' | OIer 12'-17'

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

I’m currently a $3^{rd}$-year Ph.D. student at AI Thrust, Information Hub, The Hong Kong University of Science and Technology (Guangzhou). I received my bachelor degree of software engineering from Computing Faculty, Harbin Institute of Technology in 2022. My research interests include information retrieval, large multimodal models, and graph learning.

Now, I’m a research intern at NLP Group, Tongyi Lab, Alibaba. Previously, I was a visiting student at The Hong Kong University of Science and Technology. Before starting my Ph.D. career, I was a research intern at Baidu Research and Baidu Talent Intelligence Center. At earlier years of undergraduate, I was a research intern at Microsoft Research Asia.

In junior and senior high school, I spent years on National Olympiad in Informatics (NOI) and won 2 First Prize in Fujian Province. The competition awards support me to get early admission from Independent Recruitment of HIT in 2018.

Here is my latest curriculum vitae.

News

  • [2025.03] I join NLP Group, Tongyi Lab, Alibaba Cloud, as a research intern, focusing on improving multimodal embedding for Qwen model series.
  • [2025.02] Our work on labor migration modeling is accepted by PAKDD 2025 (Oral). Thanks for my co-authors from HKUST(GZ), Baidu, and CAS.
  • [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 (Oral). Thanks for my 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 (Oral). 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 (Oral). 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

Full list is at (Google Scholar).

  • [Arxiv] Zhuoning Guo, Guangxing Chen, Qian Gao, Xiaochao Liao, Jianjia Zheng, Lu Shen, Hao Liu. GPU-accelerated Multi-relational Parallel Graph Retrieval for Web-scale Recommendations.
  • [PAKDD 2025 Oral] Zhuoning Guo, Le Zhang, Hengshu Zhu, Weijia Zhang, Hui Xiong, Hao Liu. Labor Migration Modeling through Large-scale Job Query Data. Advances in Knowledge Discovery and Data Mining: 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining
  • [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.
  • [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 2022 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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The page is update at Mar. 16, 2025.