TF
Tianfan Fu
cs.LGcs.AIcs.CLq-bio.BMq-bio.QMquant-phstat.MLArtificial Intelligencecs.CEcs.CY
On Valency
published · living versionsW_ga2kwdz9·v1 · currentpublished
RiboBridge: protein-conditioned de novo RNA binder structure design
with Zhou Zhang, Hanqun Cao, Minghao Sun, Odin Zhang +3
1 version
Preprints & journals
61 papers in the corpus · 2019–2026RiboBridge: protein-conditioned de novo RNA binder structure design2610.30668v1 · Zhou Zhang, Hanqun Cao, Minghao Sun et al.2026 · 0 citationsarXivon Valency
BioMamba: Domain-Adaptive Biomedical Language Models.42835900 · Yue, Ling, Zhu, Mingzhi, Xing, Sixue et al.2026 · 2 citationsHealth data science. 2026;6:0454
Reachability Is Not Realization: Tracing the Sources of LLM Benchmark Gains2608.03219v1 · Yanchao Li, Wanhao Liu, Jiaqing Xie et al.2026 · 0 citationsarXiv
Quantum-machine-assisted drug discovery.42380605 · Zhou, Yidong, Chen, Jintai, Cheng, Jinglei et al.2026 · 12 citationsnpj drug discovery. 2026;3(1)
RadDiff: Retrieval-Augmented Denoising Diffusion for Protein Inverse Folding2512.00126v2 · Jin Han, Tianfan Fu, Wu-Jun Li2025 · 0 citationsarXiv
ATLAS: A High-Difficulty, Multidisciplinary Benchmark for Frontier Scientific Reasoning2511.14366v2 · Hongwei Liu, Junnan Liu, Shudong Liu et al.2025 · 0 citationsarXiv
QCBench: Evaluating Large Language Models on Domain-Specific Quantitative Chemistry.41182174 · Xie, Jiaqing, Wang, Weida, Gao, Ben et al.2025 · 5 citationsJournal of chemical information and modeling. 2025;65(22):12268-12278
RiboPO: Preference Optimization for Structure- and Stability-Aware RNA Design2510.21161v2 · Minghao Sun, Hanqun Cao, Zhou Zhang et al.2025 · 0 citationsarXiv
From Supervision to Exploration: What Does Protein Language Model Learn During Reinforcement Learning?2510.01571v1 · Hanqun Cao, Hongrui Zhang, Junde Xu et al.2025 · 1 citationarXiv
TrialBench: Multi-Modal AI-Ready Datasets for Clinical Trial Prediction.41006354 · Chen, Jintai, Hu, Yaojun, Cai, Mingchen et al.2025 · 15 citationsScientific data. 2025;12(1):1564
A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers2508.21148v2 · Ming Hu, Chenglong Ma, Wei Li et al.2025 · 1 citationarXiv
drGT: Attention-Guided Gene Assessment of Drug Response Utilizing a Drug-Cell-Gene Heterogeneous Network.38800657 · Inoue, Yoshitaka, Lee, Hunmin, Fu, Tianfan et al.2025 · 5 citationsArXiv. 2025
Bladder Cancer Diagnosis with Deep Learning: A Multi-Task Framework and Online Platform2508.15379v1 · Jinliang Yu, Mingduo Xie, Yue Wang et al.2025 · 0 citationsarXiv
SpectrumWorld: Artificial Intelligence Foundation for Spectroscopy2508.01188v4 · Zhuo Yang, Jiaqing Xie, Shuaike Shen et al.2025 · 1 citationarXiv
A review on knowledge graphs for healthcare: Resources, applications, and promises.40712809 · Cui, Hejie, Lu, Jiaying, Xu, Ran et al.2025 · 57 citationsJournal of biomedical informatics. 2025;169:104861
Position: Intelligent Science Laboratory Requires the Integration of Cognitive and Embodied AI2506.19613v1 · Sha Zhang, Suorong Yang, Tong Xie et al.2025 · 2 citationsarXiv
Scientists' First Exam: Probing Cognitive Abilities of MLLM via Perception, Understanding, and Reasoning2506.10521v6 · Yuhao Zhou, Yiheng Wang, Xuming He et al.2025 · 2 citationsarXiv
ChemMLLM: Chemical Multimodal Large Language Model2505.16326v3 · Qian Tan, Di Zhang, Ben Gao et al.2025 · 3 citationsarXiv
Reasoning BO: Enhancing Bayesian Optimization with Long-Context Reasoning Power of LLMs2505.12833v2 · Zhuo Yang, Daolang Wang, Lingli Ge et al.2025 · 1 citationarXiv
PoseX: AI Defeats Physics Approaches on Protein-Ligand Cross Docking2505.01700v3 · Yize Jiang, Xinze Li, Yuanyuan Zhang et al.2025 · 3 citationsarXiv
DruGagent: Multi-Agent Large Language Model-Based Reasoning for Drug-Target Interaction Prediction.40297237 · Inoue, Yoshitaka, Song, Tianci, Wang, Xinling et al.2025 · 1 citationArXiv. 2025
Foundation Model in Biomedicine2503.02104v2 · Xiangrui Liu, Yuanyuan Zhang, Qianyu Shang et al.2025 · 0 citationsarXiv
QCS-ADME: Quantum Circuit Search for Drug Property Prediction with Imbalanced Data and Regression Adaptation2503.01927v2 · Kangyu Zheng, Tianfan Fu, Zhiding Liang2025 · 2 citationsarXiv
Gradient GA: Gradient Genetic Algorithm for Drug Molecular Design2502.09860v2 · Chris Zhuang, Debadyuti Mukherjee, Yingzhou Lu et al.2025 · 0 citationsarXiv
Reinforcement Learning for Quantum Circuit Design: Using Matrix Representations2501.16509v1 · Zhiyuan Wang, Chunlin Feng, Christopher Poon et al.2025 · 0 citationsarXiv
Political-LLM: Large Language Models in Political Science2412.06864v1 · Lincan Li, Jiaqi Li, Catherine Chen et al.2024 · 3 citationsarXiv
3D Interaction Geometric Pre-training for Molecular Relational Learning2412.02957v2 · Namkyeong Lee, Yunhak Oh, Heewoong Noh et al.2024 · 0 citationsarXiv
Signals in the Cells: Multimodal and Contextualized Machine Learning Foundations for Therapeutics.38948789 · Velez-Arce, Alejandro, Li, Michelle M, Gao, Wenhao et al.2025 · 17 citationsbioRxiv : the preprint server for biology. 2024
Protein-Mamba: Biological Mamba Models for Protein Function Prediction2409.14617v1 · Bohao Xu, Yingzhou Lu, Yoshitaka Inoue et al.2024 · 1 citationarXiv
Quantum-inspired Reinforcement Learning for Synthesizable Drug Design2409.09183v2 · Dannong Wang, Jintai Chen, Yingzhou Lu et al.2024 · 1 citationarXiv
SMILES-Mamba: Chemical Mamba Foundation Models for Drug ADMET Prediction2408.05696v2 · Bohao Xu, Yingzhou Lu, Chenhao Li et al.2024 · 5 citationsarXiv
TrialEnroll: Predicting Clinical Trial Enrollment Success with Deep & Cross Network and Large Language Models2407.13115v1 · Ling Yue, Sixue Xing, Jintai Chen et al.2024 · 3 citationsarXiv
TrialBench: Multi-Modal Artificial Intelligence-Ready Clinical Trial Datasets2407.00631v3 · Jintai Chen, Yaojun Hu, Mingchen Cai et al.2024 · 5 citationsarXiv
Graph Adversarial Diffusion Convolution2406.02059v1 · Songtao Liu, Jinghui Chen, Tianfan Fu et al.2024 · 0 citationsarXiv
Structure-based Drug Design Benchmark: Do 3D Methods Really Dominate?2406.03403v1 · Kangyu Zheng, Yingzhou Lu, Zaixi Zhang et al.2024 · 5 citationsarXiv
Language Interaction Network for Clinical Trial Approval Estimation2405.06662v1 · Chufan Gao, Tianfan Fu, Jimeng Sun2024 · 0 citationsarXiv
ClinicalAgent: Clinical Trial Multi-Agent System with Large Language Model-based Reasoning2404.14777v2 · Ling Yue, Sixue Xing, Jintai Chen et al.2024 · 35 citationsarXiv
TrialDura: Hierarchical Attention Transformer for Interpretable Clinical Trial Duration Prediction2404.13235v2 · Ling Yue, Jonathan Li, Sixue Xing et al.2024 · 1 citationarXiv
Uncertainty Quantification and Interpretability for Clinical Trial Approval Prediction.38645573 · Lu, Yingzhou, Chen, Tianyi, Hao, Nan et al.2024 · 28 citationsHealth data science. 2024;4:0126
AUTODIFF: Autoregressive Diffusion Modeling for Structure-based Drug Design2404.02003v2 · Xinze Li, Penglei Wang, Tianfan Fu et al.2024 · 4 citationsarXiv
TWIN-GPT: Digital Twins for Clinical Trials via Large Language Model2404.01273v2 · Yue Wang, Tianfan Fu, Yinlong Xu et al.2024 · 59 citationsarXiv
Multimodal Clinical Trial Outcome Prediction with Large Language Models2402.06512v4 · Wenhao Zheng, Liaoyaqi Wang, Dongshen Peng et al.2024 · 5 citationsarXiv
Compositional Representation of Polymorphic Crystalline Materials2312.13289v2 · Namkyeong Lee, Heewoong Noh, Gyoung S. Na et al.2023 · 2 citationsarXiv
Molecular De Novo Design through Transformer-based Reinforcement Learning2310.05365v5 · Pengcheng Xu, Tao Feng, Tianfan Fu et al.2023 · 1 citationarXiv
Publisher Correction: Scientific discovery in the age of artificial intelligence.37648871 · Wang, Hanchen, Fu, Tianfan, Du, Yuanqi et al.2025 · 19 citationsNature. 2023;621(7978):E33
Scientific discovery in the age of artificial intelligence.37532811 · Wang, Hanchen, Fu, Tianfan, Du, Yuanqi et al.2023 · 1,804 citationsNature. 2023;620(7972):47-60
Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems2307.08423v6 · Xuan Zhang, Limei Wang, Jacob Helwig et al.2023 · 74 citationsFoundations and Trends in Machine Learning: Vol. 18: No. 4, pp 385-912 (2025)
PyTrial: Machine Learning Software and Benchmark for Clinical Trial Applications2306.04018v2 · Zifeng Wang, Brandon Theodorou, Tianfan Fu et al.2023 · 2 citationsarXiv
Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations2306.01631v6 · Pengcheng Jiang, Cao Xiao, Tianfan Fu et al.2023 · 6 citationsarXiv
Artificial intelligence foundation for therapeutic science.36131149 · Huang, Kexin, Fu, Tianfan, Gao, Wenhao et al.2022 · 199 citationsNature chemical biology. 2022;18(10):1033-1036
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