Shun Liao

According to our database, Shun Liao authored at least 7 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Scaling Wearable Foundation Models.

Girish Narayanswamy, Xin Liu, Kumar Ayush, Yuzhe Yang, Xuhai Xu, Shun Liao, Jake Garrison, Shyam Tailor, Jake Sunshine, Yun Liu, Tim Althoff, Shrikanth Narayanan, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak N. Patel, Samy Abdel-Ghaffar, Daniel McDuff

CoRR, 2024

Scalable Multi-Domain Adaptation of Language Models using Modular Experts.

Peter Schafhalter, Shun Liao, Yanqi Zhou, Chih-Kuan Yeh, Arun Kandoor, James Laudon

CoRR, 2024

What Are the Odds? Language Models Are Capable of Probabilistic Reasoning.

Akshay Paruchuri, Jake Garrison, Shun Liao, John Hernandez, Jacob E. Sunshine, Tim Althoff, Xin Liu, Daniel McDuff

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Large Language Models are Few-Shot Health Learners.

Xin Liu, Daniel McDuff, Geza Kovacs, Isaac R. Galatzer-Levy, Jacob E. Sunshine, Jiening Zhan, Ming-Zher Poh, Shun Liao, Paolo Di Achille, Shwetak N. Patel

CoRR, 2023

2021

Improving domain adaptation in de-identification of electronic health records through self-training.

Shun Liao, Jamie Kiros, Jiyang Chen, Zhaolei Zhang, Ting Chen

J. Am. Medical Informatics Assoc., 2021

2019

Doubly Sparse: Sparse Mixture of Sparse Experts for Efficient Softmax Inference.

Shun Liao, Ting Chen, Tian Lin, Denny Zhou, Chong Wang

CoRR, 2019

2017

Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation

Yuhuai Wu, Elman Mansimov, Roger B. Grosse, Shun Liao, Jimmy Ba

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017