Author

Tianfan Fu

Observed name: Fu, Tianfan

Institutions: University of Science and Technology of China, Harvard University, Shanghai Artificial Intelligence Laboratory, Nanjing University

Observed institutions: University of Science and Technology of China, Harvard University, Rensselaer Polytechnic Institute, Shanghai Artificial Intelligence Laboratory, Nanjing University

OpenAlex ID: A5114063871

Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization

2022 · Wenhao Gao, Tianfan Fu, et al. · neural information processing systems · 107

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Probing Scientific General Intelligence of LLMs with Scientist-Aligned Workflows

2025 · Xu, Wanghan, Zhou, Yuhao, et al. · arXiv (Cornell University) · 32

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Reinforced Genetic Algorithm for Structure-Based Drug Design

2022 · Tianfan Fu, Wenhao Gao, et al. · neural information processing systems · 32

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ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research

2026 · Xu, Wanghan, Li, Shuo, et al. · arXiv (Cornell University) · 24

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SkillsInjector: Dynamic Skill Context Construction for LLM Agents

2026 · Li, Yanchao, Liu, Wanhao, et al. · arXiv (Cornell University) · 8

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FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation

2024 · Wang, Dannong, Kim, Daniel, et al. · arXiv (Cornell University) · 6

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Beyond Affinity: A Benchmark of 1D, 2D, and 3D Methods Reveals Critical Trade-offs in Structure-Based Drug Design

2026 · Zheng, Kangyu, Zhang, Kai, et al. · arXiv (Cornell University) · 4

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Compute Allocation in Evolutionary Search: From Depth–Breadth to Multi-Armed Bandits

2026 · Sixue Xing, Haoyu He, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 4

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MolAct: An Agentic RL Framework for Molecular Editing and Property Optimization

2025 · Yang, Zhuo, Chen, Yeyun, et al. · arXiv (Cornell University) · 3

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Does the Question Really Matter? Training-Free Data Selection for Vision-Language SFT

2026 · Sun, Peng, Yang, Yi, et al. · arXiv (Cornell University) · 1

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Equivariant Neural Primal-Dual Assignment for Maximum Common Edge Subgraphs

2026 · Xie, Jiaqing, Li, Yanchao, et al. · arXiv (Cornell University)

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EnzyPGM: Pocket-conditioned Generative Model for Substrate-specific Enzyme Design

2026 · Zefeng Lin, Zhihang Zhang, et al. · International Joint Conference on Artificial Intelligence

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Hierarchical Data Selection via Manifold Coverage and Sparse Feature Coverage in LLM Post-training

2026 · Sun, Peng, Yang, Yi, et al. · arXiv (Cornell University)

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Data-DPO: Direct Preference Optimization for Target Model Data Selection in LLM Post-Training

2026 · Sun, Peng, Yang, Yi, et al. · arXiv (Cornell University)

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OmniMatBench: A Human-Calibrated Multimodal Reasoning Benchmark Across 19 Materials Science Subfields

2026 · Liu, Wanhao, Xie, Jiaqing, et al. · arXiv (Cornell University)

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Resolving the bias-precision paradox with stochastic causal representation learning for personalized medicine

2026 · Zhang, Peisong, Peng, Manqiang, et al. · arXiv (Cornell University)

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Works count: 16

Citation count: 221

H-index: 6

I10-index: 4