Ruishan Liu

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 10

Top Topics

Locally Weighted

Linear Regression

Sparse Learning

Recognizing Human Actions

Top Venues

Publications

Zachary Izzo, Ruishan Liu, James Zou
Data-Driven Subgroup Identification for Linear Regression. ICML (2023)
Zachary Izzo, Ruishan Liu, James Zou
Data-Driven Subgroup Identification for Linear Regression. CoRR (2023)
Ruishan Liu, James Zou
Data Sculpting: Interpretable Algorithm for End-to-End Cohort Selection. IEEECONF (2022)
Ruishan Liu, Akshay Balsubramani, James Zou
Learning transport cost from subset correspondence. ICLR (2020)
Ruishan Liu, Akshay Balsubramani, James Zou
Learning transport cost from subset correspondence. CoRR (2019)
Ruishan Liu, James Zou
The Effects of Memory Replay in Reinforcement Learning. Allerton (2018)
Ruishan Liu, Nicoló Fusi, Lester Mackey
Model Compression with Generative Adversarial Networks. CoRR (2018)
Fangxiang Feng, Ruishan Liu, Xiaojie Wang, Xueming Li, Song Bi
Personalized Image Annotation Using Deep Architecture. IEEE Access 5 (2017)
Ruishan Liu, James Zou
The Effects of Memory Replay in Reinforcement Learning. CoRR (2017)
Yanhua Yang, Ruishan Liu, Cheng Deng, Xinbo Gao
Multi-task human action recognition via exploring super-category. Signal Process. 124 (2016)
Wenjun Wu, Yanhua Yang, Ruishan Liu, Cheng Deng
Joint-based multi-task sparse learning for human action recognition. ICIMCS (2015)
Ruishan Liu, Yanhua Yang, Cheng Deng
Recognizing Human Actions by Sharing Knowledge in Implicit Action Groups. PCM (1) (2015)