Tianfan Fu

University of Illinois Chicago — United States

Computer Science · Physical Sciences

19h-index3.2kcitations107works4.82yr avg
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Research Topics

Computational Drug Discovery Methods(34), Machine Learning in Materials Science(25), Machine Learning in Healthcare(11), Protein Structure and Dynamics(10), Topic Modeling(9)

Publications106 total

Quantum-machine-assisted drug discovery
npj Drug Discovery.·2026· 3 citedOpen Access
RadDiff: Retrieval-Augmented Denoising Diffusion for Protein Inverse Folding
arXiv (Cornell University)·2025Open Access
ATLAS: A High-Difficulty, Multidisciplinary Benchmark for Frontier Scientific Reasoning
arXiv (Cornell University)·2025Open Access
QCBench: Evaluating Large Language Models on Domain-Specific Quantitative Chemistry
Journal of Chemical Information and Modeling·2025· 1 citedOpen Access
RiboPO: Preference Optimization for Structure- and Stability-Aware RNA Design
arXiv (Cornell University)·2025Open Access
Chem-R: Learning to Reason as a Chemist
arXiv (Cornell University)·2025Open Access
Federated Learning for Text Classification: Reflections on Model Selection and Data Distribution
2025Open Access
From Supervision to Exploration: What Does Protein Language Model Learn During Reinforcement Learning?
arXiv (Cornell University)·2025Open Access
TrialBench: Multi-Modal AI-Ready Datasets for Clinical Trial Prediction
Scientific Data·2025· 1 citedOpen Access
Study protocol of a patient-blinded, randomized controlled trial of the analgesic efficacy of low adductor canal block in total knee arthroplasty
2025Open Access
Bladder Cancer Diagnosis with Deep Learning: A Multi-Task Framework and Online Platform
arXiv (Cornell University)·2025Open Access
QCS-ADME: Quantum Circuit Search for Drug Property Prediction with Imbalanced Data and Regression Adaptation
2025Open Access
A review on knowledge graphs for healthcare: Resources, applications, and promises
Journal of Biomedical Informatics·2025· 16 cited
Position: Intelligent Science Laboratory Requires the Integration of Cognitive and Embodied AI
arXiv (Cornell University)·2025· 2 citedOpen Access
Scientists' First Exam: Probing Cognitive Abilities of MLLM via Perception, Understanding, and Reasoning
arXiv (Cornell University)·2025Open Access
ChemMLLM: Chemical Multimodal Large Language Model
arXiv (Cornell University)·2025Open Access
Reasoning BO: Enhancing Bayesian Optimization with Long-Context Reasoning Power of LLMs
ArXiv.org·2025· 1 citedOpen Access
DeepProtein: deep learning library and benchmark for protein sequence learning
Bioinformatics·2025· 3 citedOpen Access
PoseX: AI Defeats Physics Approaches on Protein-Ligand Cross Docking
arXiv (Cornell University)·2025· 2 citedOpen Access
Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations
Proceedings of the AAAI Conference on Artificial Intelligence·2025· 2 citedOpen Access
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Frequent Co-authors

Jimeng Sun(27), Cao Xiao(19), Marinka Žitnik(13), Kexin Huang(11), Lucas M. Glass(11), Connor W. Coley(10), Wenhao Gao(9), Jure Leskovec(7), Yuanqi Du(6), Jintai Chen(5), Anima Anandkumar(4), Yue Zhao(4), Yanmin Qian(4), Kai Yu(4), Shengchao Liu(3), Yusuf Roohani(3), Píetro Lió(3), Yingzhou Lu(3), Hanchen Wang(2), Payal Chandak(2)