Tianfan Fu
11 papers · 2017–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π£ Hot Topic Early Bird π§ Keyword Pioneer π Interdisciplinary Bridge π Academic Marathon (8)
π
Renaissance Researcher
(9)
πΊοΈ
Taxonomy Completionist
(29)
π
Conference Polyglot
(8)
π
Grand Slam
π
Keyword Champion
(2)
π
Century Club
(11)
π₯
Unstoppable
(6)
Conferences
AAAI (3)
NIPS (2)
AISTATS (1)
CONLL (1)
EMNLP (1)
ICLR (1)
ICML (1)
IJCAI (1)
Top co-authors
Keywords
graph neural network
(3)
representation learning
(2)
molecule optimization
(2)
molecular generation
(2)
drug discovery
(2)
generative model
(2)
molecular design
(2)
property prediction
(2)
sample efficiency
(1)
multimodal learning
(1)
molecular optimization
(1)
adversarial training
(1)
markov chain monte carlo
(1)
constraint satisfaction
(1)
stochastic gradient
(1)
matrix factorization
(1)
optimization algorithm
(1)
bayesian inference
(1)
contrastive learning
(1)
knowledge graph
(1)
Papers
LIFTED: Multimodal Clinical Trial Outcome Prediction via Large Language Models and Mixture-of-Experts
EMNLP 2025
Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations
AAAI 2025
Graph Adversarial Diffusion Convolution
ICML 2024
Differentiable Scaffolding Tree for Molecule Optimization
ICLR 2022
Reinforced Genetic Algorithm for Structure-based Drug Design
NIPS 2022
Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization
NIPS 2022
MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization
AAAI 2021
CORE: Automatic Molecule Optimization Using Copy & Refine Strategy
AAAI 2020
DDL: Deep Dictionary Learning for Predictive Phenotyping
IJCAI 2019
Continuous Word Embedding Fusion via Spectral Decomposition
CONLL 2018
CPSG-MCMC: Clustering-Based Preprocessing method for Stochastic Gradient MCMC
AISTATS 2017