219 citations · 722 across the 17 of their papers we have counts for
22 papers
TrialAtlas: Multi-Agent Research Organization for Clinical Trial Design and Optimization
Jiacheng Lin, Zifeng Wang, Zheng Chen +5
Nearly 90% of drugs entering clinical development ultimately fail, despite billions of dollars in investment. Pharmaceutical companies therefore rely on clinical development planni…
Trial2Vec: Zero-Shot Clinical Trial Document Similarity Search using Self-Supervision
Zifeng Wang, Jimeng Sun
Clinical trials are essential for drug development but are extremely expensive and time-consuming to conduct. It is beneficial to study similar historical trials when designing a c…
Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization
Wenhao Gao, Tianfan Fu, Jimeng Sun +1
Molecular optimization is a fundamental goal in the chemical sciences and is of central interest to drug and material design. In recent years, significant progress has been made in…
TransTab: Learning Transferable Tabular Transformers Across Tables
Zifeng Wang, Jimeng Sun
Tabular data (or tables) are the most widely used data format in machine learning (ML). However, ML models often assume the table structure keeps fixed in training and testing. Bef…
Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks
Zhen Lin, Shubhendu Trivedi, Jimeng Sun
Deep neural network (DNN) classifiers are often overconfident, producing miscalibrated class probabilities. In high-risk applications like healthcare, practitioners require $\texti…
Self-supervised EEG Representation Learning for Automatic Sleep Staging
Chaoqi Yang, Danica Xiao, M. Brandon Westover +1
Background: Deep learning models have shown great success in automating tasks in sleep medicine by learning from carefully annotated Electroencephalogram (EEG) data. However, effec…