Sotabase

Career

· PhD Student, University of Wisconsin-Madison2010–2015
· Undergraduate Study, Peking University2006–2010
· Associate Professor, ETH Zurich
· Postdoctoral Researcher, Stanford University
· CTO, Together AI
· Neubauer Associate Professor of Data Science, University of Chicago

Publications (170)

Holistic Evaluation of Language Models
Trans. Mach. Learn. Res. · 2023
1,324
cited
Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features
Nature Communications · 2016
880
cited
High-throughput Generative Inference of Large Language Models with a Single GPU
International Conference on Machine Learning · 2023
592
cited
Neuroinvasion of SARS-CoV-2 in human and mouse brain
bioRxiv · 2020
559
cited
Towards Efficient Data Valuation Based on the Shapley Value
International Conference on Artificial Intelligence and Statistics · 2019
508
cited
Advances, challenges and opportunities in creating data for trustworthy AI
Nature Machine Intelligence · 2022
454
cited
Incremental Knowledge Base Construction Using DeepDive
The VLDB journal · 2015
292
cited
Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time
International Conference on Machine Learning · 2023
285
cited
Chelate effects in glyme/lithium bis(trifluoromethanesulfonyl)amide solvate ionic liquids. I. Stability of solvate cations and correlation with electrolyte properties.
Journal of Physical Chemistry B · 2014
205
cited
DL2: Training and Querying Neural Networks with Logic
International Conference on Machine Learning · 2019
181
cited
DeepDive: Declarative Knowledge Base Construction
SGMD · 2016
153
cited
Asynchrony begets momentum, with an application to deep learning
Allerton Conference on Communication, Control, and Computing · 2016
150
cited
Towards Demystifying Serverless Machine Learning Training
SIGMOD Conference · 2021
143
cited
Chelate Effects in Glyme/Lithium Bis(trifluoromethanesulfonyl)amide Solvate Ionic Liquids, Part 2: Importance of Solvate-Structure Stability for Electrolytes of Lithium Batteries
2014
139
cited
DataPerf: Benchmarks for Data-Centric AI Development
Neural Information Processing Systems · 2022
129
cited
Decentralized Training of Foundation Models in Heterogeneous Environments
Neural Information Processing Systems · 2022
125
cited
Brainwash: A Data System for Feature Engineering
Conference on Innovative Data Systems Research · 2013
120
cited
When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards
Annual Meeting of the Association for Computational Linguistics · 2024
119
cited
LINKTELLER: Recovering Private Edges from Graph Neural Networks via Influence Analysis
IEEE Symposium on Security and Privacy · 2021
117
cited
A Machine Reading System for Assembling Synthetic Paleontological Databases
PLoS ONE · 2014
104
cited
Sotabase