Selected Publications

Full list on Google Scholar.

1. ICLR ’26

   LeSTD: LLM Compression via Learning-based Sparse Tensor Decomposition

   Yi Li, Zhichun Guo, Miao Yin, Bingzhe Li

   International Conference on Learning Representations, 2026

2. NeurIPS ’25

   You Only Spectralize Once: Taking a Spectral Detour to Accelerate Graph Neural Network

   Yi Li, Zhichun Guo, Guanpeng Li, Bingzhe Li

   Conference on Neural Information Processing Systems, 2025

3. TMLR ’25

   Node Duplication Improves Cold-start Link Prediction

   Zhichun Guo, Tong Zhao, Yozen Liu, Kaiwen Dong, William Shiao, Neil Shah, Nitesh V. Chawla

   Transactions on Machine Learning Research, 2025

4. NeurIPS ’24

   Pure Message Passing Can Estimate Common Neighbor for Link Prediction

   Kaiwen Dong, Zhichun Guo, Nitesh V. Chawla

   Conference on Neural Information Processing Systems, 2024

5. NeurIPS ’24

   Can LLMs Solve Molecule Puzzles? A Multimodal Benchmark for Molecular Structure Elucidation

   Kehan Guo, Bozhao Nan, Yujun Zhou, Taicheng Guo, Zhichun Guo, et al.

   NeurIPS Datasets and Benchmarks Track, 2024

6. NeurIPS ’23

   What Indeed Can GPT Models Do in Chemistry? A Comprehensive Benchmark on Eight Tasks

   Taicheng Guo, Kehan Guo, Bozhao Nan, Zhenwen Liang, Zhichun Guo, et al.

   NeurIPS Datasets and Benchmarks Track, 2023

7. ICML ’23

   Linkless Link Prediction via Relational Distillation

   Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V. Chawla, Neil Shah, Tong Zhao

   International Conference on Machine Learning, 2023

8. AAAI ’23

   Boosting Graph Neural Networks via Adaptive Knowledge Distillation

   Zhichun Guo, Chunhui Zhang, Yujie Fan, Yijun Tian, Chuxu Zhang, Nitesh V. Chawla

   AAAI Conference on Artificial Intelligence, 2023

9. TVCG ’22

   SD²: Slicing and Dicing Scholarly Data for Interactive Evaluation of Academic Performance

   Zhichun Guo, Jun Tao, Siming Chen, Nitesh V. Chawla, Chaoli Wang

   IEEE Transactions on Visualization and Computer Graphics, 2022

10. WWW ’21

    Few-Shot Graph Learning for Molecular Property Prediction

    Zhichun Guo, Chuxu Zhang, Wenhao Yu, John Herr, Olaf Wiest, Meng Jiang, Nitesh V. Chawla

    The Web Conference, 2021

11. CIKM ’20

    GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction

    Zhichun Guo, Wenhao Yu, Chuxu Zhang, Meng Jiang, Nitesh V. Chawla

    ACM International Conference on Information and Knowledge Management, 2020