Shun Liao

According to our database, Shun Liao authored at least 11 papers between 2017 and 2025.

Collaborative distances:

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

2025

LSM-2: Learning from Incomplete Wearable Sensor Data.

Maxwell A. Xu, Girish Narayanswamy, Kumar Ayush, Dimitris Spathis, Shun Liao, Shyam A. Tailor, Ahmed Metwally, A. Ali Heydari, Yuwei Zhang, Jake Garrison, Samy Abdel-Ghaffar, Xuhai Xu, Ken Gu, Jacob E. Sunshine, Ming-Zher Poh, Yun Liu, Tim Althoff, Shrikanth Narayanan, Pushmeet Kohli, Mark Malhotra, Shwetak N. Patel, Yuzhe Yang, James M. Rehg, Xin Liu, Daniel McDuff

CoRR, June, 2025

Passive Heart Rate Monitoring During Smartphone Use in Everyday Life.

Shun Liao, Paolo Di Achille, Jiang Wu, Silviu Borac, Jonathan Wang, Xin Liu, Eric Teasley, Lawrence Cai, Yuzhe Yang, Yun Liu, Daniel McDuff, Hao-Wei Su, Brent Winslow, Anupam Pathak, Shwetak N. Patel, James A. Taylor, Jameson K. Rogers, Ming-Zher Poh

CoRR, March, 2025

Scaling Wearable Foundation Models.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Scaling Wearable Foundation Models.

Girish Narayanswamy, Xin Liu, Kumar Ayush, Yuzhe Yang, Xuhai Xu, Shun Liao, Jake Garrison, Shyam A. 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

2022

Methods and Applications of Deep Learning in Sequential Medical Data

Shun Liao

PhD thesis, 2022

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