Zhichun Guo

Computer Science · Physical Sciences

13h-index837citations53works0.62yr avg
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Research Topics

Advanced Graph Neural Networks(16), Topic Modeling(12), Machine Learning in Materials Science(11), Complex Network Analysis Techniques(10), Computational Drug Discovery Methods(10)

Publications53 total

CoSA: Compressed Sensing-Based Adaptation of Large Language Models
arXiv (Cornell University)·2026Open Access
CoSA: Compressed Sensing-Based Adaptation of Large Language Models
arXiv (Cornell University)·2026Open Access
Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction To Generation and Beyond
2025· 3 cited
Improving Protein Sequence Design through Designability Preference Optimization
arXiv (Cornell University)·2025· 2 citedOpen Access
ChemHGNN: A Hierarchical Hypergraph Neural Network for Reaction Virtual Screening and Discovery
arXiv (Cornell University)·2025Open Access
Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction to Generation and Beyond
arXiv (Cornell University)·2025· 6 citedOpen Access
YOSO: You-Only-Sample-Once via Compressed Sensing for Graph Neural Network Training
arXiv (Cornell University)·2024Open Access
Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction To Generation and Beyond
2024
MolX: Enhancing Large Language Models for Molecular Understanding With A Multi-Modal Extension
arXiv (Cornell University)·2024· 1 citedOpen Access
CORE: Data Augmentation for Link Prediction via Information Bottleneck
arXiv (Cornell University)·2024Open Access
You do not have to train Graph Neural Networks at all on text-attributed graphs
arXiv (Cornell University)·2024Open Access
Improving Out-of-Vocabulary Handling in Recommendation Systems
arXiv (Cornell University)·2024Open Access
How Does Message Passing Improve Collaborative Filtering?
arXiv (Cornell University)·2024Open Access
Node Duplication Improves Cold-start Link Prediction
arXiv (Cornell University)·2024Open Access
Universal Link Predictor By In-Context Learning on Graphs
arXiv (Cornell University)·2024Open Access
How Does Message Passing Improve Collaborative Filtering?
2024
Can LLMs Solve Molecule Puzzles? A Multimodal Benchmark for Molecular Structure Elucidation
2024
Pure Message Passing Can Estimate Common Neighbor for Link Prediction
2024
MolX: Enhancing Large Language Models for Molecular Understanding With A Multi-Modal Extension
Open MIND·2024Open Access
Pure Message Passing Can Estimate Common Neighbor for Link Prediction
arXiv (Cornell University)·2023· 4 citedOpen Access
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Frequent Co-authors

Nitesh V. Chawla(30), Olaf Wiest(13), Chuxu Zhang(12), Tong Zhao(10), Bozhao Nan(9), Kaiwen Dong(9), Xiangliang Zhang(8), Neil Shah(8), Meng Jiang(7), Yijun Tian(7), Yozen Liu(7), Wenhao Yu(6), Kehan Guo(6), William Shiao(6), John E. Herr(4), Roshni G. Iyer(4), Ronald Metoyer(4), Mandana Saebi(3), A. Zuranski(3), Thierry Kogej(3)