I am a machine learning researcher specializing in graph mining and recommendation systems, and I currently work closely with Junwei Pan and Menglin Yang. I was previously affiliated with MBZUAI, advised by Xiuying Chen (MBZUAI), Shangsong Liang (Sun Yat-sen University), and Kun Zhang (MBZUAI & CMU). Additionally, I have been fortunate to collaborate with several outstanding researchers, including Dongsheng Luo (Florida International University) and Yifan Chen (Hong Kong Baptist University).

 I earned my bachelor’s degree from the School of Electronic and Information Engineering at South China University of Technology (华南理工大学, SCUT) and had a rewarding research experience at the Institute of Automation, Chinese Academy of Sciences. My research interests broadly center on Scalability in Machine Learning, Signal Processing and Information Theory, with a particular focus on Geometric & Graph-structured Data. I also explore their implications for applications such as Graph Anomaly Detection and Scene Graph Generation. Recently, I began to pay my attention to LLM and Recommender Systems.

I am open to chat on the intersection of graphs, signal processing, and LLMs. Feel free to drop me a mail :)

Academic Outcome(s)

• KDD'26  Expand More, Shrink Less: Shaping Effective-Rank Dynamics for Dense Scaling in Recommendation
  Guoming Li, Shangyu Zhang, Junwei Pan, Wentao Ning, Jin Chen, Gengsheng Xue, Chao Zhou, Shudong Huang, Haijie Gu, Menglin Yang
  The 32st ACM SIGKDD Conference on Knowledge Discovery and Data Mining
• KDD'25  Partition-wise Graph Filtering: A Unified Perspective Through the Lens of Graph Coarsening [paper] [code]
  Guoming Li, Jian Yang, Yifan Chen
  The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining
• WWW'25  Polynomial Selection in Spectral Graph Neural Networks: An Error-Sum of Function Slices Approach [paper] [code]
  Guoming Li, Jian Yang, Shangsong Liang, Dongsheng Luo
  The ACM Web Conference 2025
• ICASSP'25  ERGNN: Spectral Graph Neural Network with Explicitly-optimized Rational Graph Filters [paper]
  Guoming Li, Jian Yang, Shangsong Liang
  2025 IEEE International Conference on Acoustics, Speech, and Signal Processing
• ECCV'24  MLPHand: Real Time Multi-View 3D Hand Mesh Reconstruction via MLP Modeling [paper] [code]
  Jian Yang*, Jiakun Li*, Guoming Li*, Zhen Shen, Huai-Yu Wu, Zhaoxin Fan
  The 18th European Conference on Computer Vision
• ACL'26 Findings  GlossaGen: Making Academic Translation Smarter with Glossing.
  Zixiao Wang, Duzhen Zhang, Juntian Zhang, Yuhan Liu, Guoming Li, Haolun Wu, Le Song, Xiuying Chen
  The 64th Annual Meeting of the Association for Computational Linguistics
• Under Review  On scalable training of heterophilic GNNs.
  Guoming Li, Jian Yang, Xukun Wang, Zixiao Wang, Shangsong Liang, Yifan Chen
  
• Under Review  Scaling recommendation models theoretically.
  Guoming Li, Jian Yang, Junwei Pan, Shangyu Zhang, Yi Yang, Chao Zhou, Shudong Huang, Haijie Gu, Yifei Zhang, Menglin Yang
  
• Under Review  On efficient audio-driven facial animation.
  Jian Yang, Guoming Li, Hairong Shi, Chenyue Liang, Jintao Chen, Chengyu Bai, Jian Liang, Bin Liang, Zhaoxin Fan
  
• Under Review  Lipschitz-Driven Noise Robustness in VQ-AE for High-Frequency Texture Repair in ID-Specific Talking Heads
  Jian Yang, Xukun Wang, Guoming Li, Wentao Wang, Qihang Fang, Ruihong Yuan, Tianyang Wang, Xiaomei Zhang, Yeying Jin, Zhaoxin Fan
  
• Preprint  Spectral GNN via Two-dimensional (2-D) Graph Convolution [paper]
  Guoming Li, Jian Yang, Shangsong Liang, Dongsheng Luo
  Arxiv preprint

Experience(s)

• Research Internship, HKUST-GZ & Tencent, 2025 - present
• Research Collaboration, SF Technology, 2025 - present
• Visiting Research Assistant, Hong Kong Baptist University, 2024 - 2025
• Research Internship, Florida International University, 2022 - 2024
• Communication System (RF) Engineer, China Telecom Guangzhou Research Institute, 2020 - 2021
• Undergraduate Research, South China University of Technology, 2018 - 2020

Academic Service(s)

• Conference Reviewer: ICLR 2026; WWW 2025; ICASSP 2023/2024/2025; KDD 2025; CIKM 2024; ICDM 2024; etc.
• Journal Reviewer: N/A