Shun Liao - RankMe

15 papers A* 2Misc 1Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	LSM-2: Learning from Incomplete Wearable Sensor Data. CoRR 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
2025	J	`jnl`	Passive Heart Rate Monitoring During Smartphone Use in Everyday Life. CoRR 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
2025	A*	`conf`	Scaling Wearable Foundation Models. ICLR 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
2025	J	`jnl`	Smartphone monitoring of smiling as a behavioral proxy of well-being in everyday life. CoRR Ming-Zher Poh, Shun Liao, Marco Andreetto, Daniel McDuff, Jonathan Wang, Paolo Di Achille, Jiang Wu, Yun Liu, Lawrence Cai, Eric Teasley, Mark Malhotra, Anupam Pathak, Shwetak N. Patel
2025	Misc	`conf`	Smartwatch-Based Walking Metrics Estimation. ISWC Amir B. Farjadian, Shun Liao, Alicia Y. Kokoszka, Kyle DeHolton, Jonathan Hsu, Jonathan Wang, Lawrence Cai, Mark Malhotra, Shwetak N. Patel, Anupam Pathak, Ming-Zher Poh
2024	J	`jnl`	Scalable Multi-Domain Adaptation of Language Models using Modular Experts. CoRR Peter Schafhalter, Shun Liao, Yanqi Zhou, Chih-Kuan Yeh, Arun Kandoor, James Laudon
2024	J	`jnl`	Scaling Wearable Foundation Models. CoRR 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
2024	A*	`conf`	What Are the Odds? Language Models Are Capable of Probabilistic Reasoning. EMNLP Akshay Paruchuri, Jake Garrison, Shun Liao, John Hernandez, Jacob E. Sunshine, Tim Althoff, Xin Liu, Daniel McDuff
2024	J	`jnl`	What Are the Odds? Language Models Are Capable of Probabilistic Reasoning. CoRR Akshay Paruchuri, Jake Garrison, Shun Liao, John Hernandez, Jacob E. Sunshine, Tim Althoff, Xin Liu, Daniel McDuff
2023	J	`jnl`	Large Language Models are Few-Shot Health Learners. CoRR 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
2022	—	`—`	Methods and Applications of Deep Learning in Sequential Medical Data Shun Liao
2021	J	`jnl`	Improving domain adaptation in de-identification of electronic health records through self-training. J. Am. Medical Informatics Assoc. Shun Liao, Jamie Kiros, Jiyang Chen, Zhaolei Zhang, Ting Chen
2019	J	`jnl`	Doubly Sparse: Sparse Mixture of Sparse Experts for Efficient Softmax Inference. CoRR Shun Liao, Ting Chen, Tian Lin, Denny Zhou, Chong Wang
2017	—	`conf`	Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation NIPS Yuhuai Wu, Elman Mansimov, Roger B. Grosse, Shun Liao, Jimmy Ba
2017	J	`jnl`	Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation. CoRR Yuhuai Wu, Elman Mansimov, Shun Liao, Roger B. Grosse, Jimmy Ba