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

🎓 I am currently a $4^{th}$-year Ph.D. student at AI Thrust, The Hong Kong University of Science and Technology (Guangzhou), supervised by Prof. Xiaowen Chu and Prof. Renjing Xu. I received my bachelor degree of software engineering from Computing Faculty, Harbin Institute of Technology in 2022.

🔬 My current research interests include multimodal LLM, information retrieval, and video understanding.

💼 Now, I am a research intern at NLP Group, Tongyi Lab, Alibaba Group. Previously, I was a visiting student at HKUST. Before starting my Ph.D. career, I was a research intern at Microsoft Research Asia and Baidu Research in the third and final year of undergraduate period.

💻 For my coding passions, I spent years on National Olympiad in Informatics (NOI) and won 2 First Prize in Fujian Province (2014 & 2016) during junior and senior high schools. With the help of these awards, I am honored to obtain early admission from Independent Recruitment of HIT in 2018.

📄 See my curriculum vitae page or pdf file for more information.

📰 News

• 🔥 [2025.11] We release the first and state-of-the-art video-centric MLLM-based embedding model, GVE Series for universal video retrieval. Thanks to my kind supervisor and supportive co-authors from Tongyi Lab! See our open-source models (GVE-3B and GVE-7B) and benchmark (UVRB) if you are interested.
• [2025.06] I am honored as Outstanding Reviewer of SIGKDD 2025 and invited as a Session Chair.
• [2025.06] Congrats to our team for releasing Qwen3-Embedding, the state-of-the-art text embedding and reranking models.
• [2025.03] I join Tongyi Lab 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 to 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 to 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 to my co-authors from HKUSTGZ and Boss Inc.

📝 Publications

Full list is at (Google Scholar).

• [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 [Paper]
• 🔥 [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 [Paper] [Code]
• [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 [Paper]
• [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 [Paper]
• [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 [Paper] [Code]
• [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 [Paper]

Preprints

• 🔥 [Arxiv] Zhuoning Guo, Mingxin Li, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Xiaowen Chu. Towards Universal Video Retrieval: Generalizing Video Embedding via Synthesized Multimodal Pyramid Curriculum. [Paper] [Project Page] [HuggingFace]
• [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. [Paper]
• [Arxiv] Zhuoning Guo, Ruiqian Han, Hao Liu. Against Multifaceted Graph Heterogeneity via Asymmetric Federated Prompt Learning. [Paper]
• [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. [Paper]

🛠️ Services

• Session Chair of SIGKDD 2025
• Reviewer of SIGKDD (Outstanding), NeurIPS, ICLR, WebConf, IJCAI and ICDM conferences
• Reviewer of TOIS and Information Science journals
• Teaching Assistant of AIAA 5028 Machine Learning on Graphs at HKUST(GZ)
• Chair of Academic Club of MassiveDataLab, President of Chess Club, Captain of Football Team of CS Dept. at HIT

The page is update at November 6th, 2025.