Peng Liao

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 31

Top Topics

Markov Decision Process

Categorical Attributes

Reinforcement Learning

Top Venues

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

Sci. China Inf. Sci.

Publications

Susobhan Ghosh, Raphael Kim, Prasidh Chhabria, Raaz Dwivedi, Predrag Klasnja, Peng Liao, Kelly W. Zhang, Susan A. Murphy
Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling. Mach. Learn. 113 (7) (2024)
Peng Liao, XiLu Wang, Yaochu Jin, Wenli Du
MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets. CoRR (2024)
Ying-Xu Rui, Jun-Qing Shi, Peng Liao, Jian Zhang, Tianli Tang
An extended cellular automation model for bicycles with group and retrograde behaviors at signalized intersections. Simul. Model. Pract. Theory 136 (2024)
Peng Liao, Yaochu Jin, Wenli Du
EMT-NAS: Transferring architectural knowledge between tasks from different datasets. CVPR (2023)
Yingxin Shan, Peng Liao, Xuyu Wang, Lingling An, Shiwen Mao
Classical to Quantum Transfer Learning Framework for Wireless Sensing Under Domain Shift. GLOBECOM (2023)
Susobhan Ghosh, Raphael Kim, Prasidh Chhabria, Raaz Dwivedi, Predrag Klasjna, Peng Liao, Kelly W. Zhang, Susan Murphy
Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling. CoRR (2023)
Keyang Zhao, Xiaozhong Zhu, Mingzi Zhang, Zhaozhi Xie, Xu Yan, Sheng-Hui Wu, Peng Liao, Hongtao Lu, Wei Shen, Chicheng Fu, Haoyang Cui, Chuan He, Qu Fang, Jiong Mei
Radiologists with assistance of deep learning can achieve overall accuracy of benign-malignant differentiation of musculoskeletal tumors comparable with that of pre-surgical biopsies in the literature. Int. J. Comput. Assist. Radiol. Surg. 18 (8) (2023)
Tiantian Ji, Binxing Fang, Xiang Cui, Zhongru Wang, Peng Liao, Shouyou Song
Framework for understanding intention-unbreakable malware. Sci. China Inf. Sci. 66 (4) (2023)
Peng Liao, Donghong Ning, Tao Wang, Haiping Du
A Driving-Adapt Strategy for the Electric Vehicle with Magneto-Rheological Fluid Transmission Considering the Powertrain Characteristics. Sensors 22 (24) (2022)
Xiao-zhong Zhu, Chun-xia Han, Zi-sheng Ai, Wei Wang, Sheng-Hui Wu, Ke-yang Zhao, Peng Liao, Jiong Mei
A quantitative study of bone defects in displaced femoral neck fractures based on virtual reduction techniques. Comput. Methods Programs Biomed. 222 (2022)
Yingxin Shan, Peng Liao, Zhuo Wang, Lingling An
Partial Computation Offloading and Resource Allocation via Deep Deterministic Policy Gradient. NaNA (2022)
Shenghui Zhang, Chen Wang, Peng Liao, Ling Xiao, Tonglin Fu
Wind speed forecasting based on model selection, fuzzy cluster, and multi-objective algorithm and wind energy simulation by Betz's theory. Expert Syst. Appl. 193 (2022)
Siyu Zhang, Peng Liao, Heng-Qing Ye, Zhili Zhou
Dynamic Marketing Resource Allocation with Two-Stage Decisions. J. Theor. Appl. Electron. Commer. Res. 17 (1) (2022)
Sabina Tomkins, Peng Liao, Predrag V. Klasnja, Susan A. Murphy
IntelligentPooling: practical Thompson sampling for mHealth. Mach. Learn. 110 (9) (2021)
Sabina Tomkins, Peng Liao, Predrag V. Klasnja, Susan A. Murphy
IntelligentPooling: Practical Thompson Sampling for mHealth. CoRR (2020)
Ting Zhu, Peng Liao, Li Luo, Heng-Qing Ye
Data-Driven Models for Capacity Allocation of Inpatient Beds in a Chinese Public Hospital. Comput. Math. Methods Medicine 2020 (2020)
Peng Liao, Kristjan H. Greenewald, Predrag V. Klasnja, Susan A. Murphy
Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4 (1) (2020)
Peng Liao, Mg Xu, Congying Yang
A Fuzzy Ensemble Method With Deep Learning for Multi-Robot System. IEEE Access 8 (2020)
Sabina Tomkins, Peng Liao, Predrag V. Klasnja, Serena Yeung, Susan A. Murphy
Rapidly Personalizing Mobile Health Treatment Policies with Limited Data. CoRR (2020)
Peng Liao, Chaoli Sun, Guochen Zhang, Yaochu Jin
Multi-surrogate multi-tasking optimization of expensive problems. Knowl. Based Syst. 205 (2020)
Zhengling Qi, Peng Liao
Robust Batch Policy Learning in Markov Decision Processes. CoRR (2020)
Peng Liao
Computer Network Information Security Protection Measures Based on AI Intelligent Technology. ICITEE (2020)
Peng Liao, Kristjan H. Greenewald, Predrag V. Klasnja, Susan A. Murphy
Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity. CoRR (2019)
Peng Liao, Predrag V. Klasnja, Susan A. Murphy
Off-Policy Estimation of Long-Term Average Outcomes with Applications to Mobile Health. CoRR (2019)
Peng Liao, Fei Ye, Xiaoli Wu
A comparison of the merchant and agency models in the hotel industry. Int. Trans. Oper. Res. 26 (3) (2019)
Feiyun Zhu, Jun Guo, Zheng Xu, Peng Liao, Liu Yang, Junzhou Huang
Group-Driven Reinforcement Learning for Personalized mHealth Intervention. MICCAI (1) (2018)
Feiyun Zhu, Peng Liao, Xinliang Zhu, Jiawen Yao, Junzhou Huang
Cohesion-driven Online Actor-Critic Reinforcement Learning for mHealth Intervention. BCB (2018)
Peng Liao, Walter Dempsey, Hillol Sarker, Syed Monowar Hossain, Mustafa al'Absi, Predrag V. Klasnja, Susan A. Murphy
Just-in-Time but Not Too Much: Determining Treatment Timing in Mobile Health. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2 (4) (2018)
Feiyun Zhu, Peng Liao
Effective Warm Start for the Online Actor-Critic Reinforcement Learning based mHealth Intervention. CoRR (2017)
Feiyun Zhu, Peng Liao, Xinliang Zhu, Yaowen Yao, Junzhou Huang
Cohesion-based Online Actor-Critic Reinforcement Learning for mHealth Intervention. CoRR (2017)
Feiyun Zhu, Jun Guo, Zheng Xu, Peng Liao, Junzhou Huang
Group-driven Reinforcement Learning for Personalized mHealth Intervention. CoRR (2017)
Shuai Wang, Xiang Cui, Peng Liao, Dan Li
S-URL Flux: A Novel C&C Protocol for Mobile Botnets. ISCTCS (2012)
Xiang Cui, Jinqiao Shi, Peng Liao, Chaoge Liu
The Triple-Channel Model: Toward Robust and Efficient Advanced Botnets (Poster Abstract). RAID (2012)
Xiang Cui, Binxing Fang, Peng Liao, Chaoge Liu
Advanced triple-channel botnets: model and implementation. CCS (2012)
Peng Liao, Xiang Cui, Shuhao Li, Chaoge Liu
Poster: recoverable botnets: a hybrid C&C approach. CCS (2011)
Chaoge Liu, Weiqing Lu, Zhiqi Zhang, Peng Liao, Xiang Cui
A recoverable hybrid C&C botnet. MALWARE (2011)
Jingang Liu, Peng Liao
Research of the BA Network Information Transmitting Based on the LAN Selection Strategy. DBTA (2010)