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Peng Liao
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
- [j15]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): 3961-3997 (2024) - [j14]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: 103004 (2024) - [i10]Peng Liao, XiLu Wang, Yaochu Jin, Wenli Du:
MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets. CoRR abs/2407.13122 (2024) - 2023
- [j13]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): 1451-1458 (2023) - [j12]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) - [c12]Peng Liao, Yaochu Jin, Wenli Du:
EMT-NAS: Transferring architectural knowledge between tasks from different datasets. CVPR 2023: 3643-3653 - [c11]Yingxin Shan, Peng Liao, Xuyu Wang
, Lingling An, Shiwen Mao:
Classical to Quantum Transfer Learning Framework for Wireless Sensing Under Domain Shift. GLOBECOM 2023: 3167-3172 - [i9]Susobhan Ghosh
, Raphael Kim, Prasidh Chhabria, Raaz Dwivedi, Predrag V. Klasnja, Peng Liao, Kelly W. Zhang, Susan A. Murphy:
Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling. CoRR abs/2304.05365 (2023) - 2022
- [j11]Xiaozhong Zhu, Chun-xia Han, Zi-sheng Ai, Wei Wang
, Sheng-Hui Wu, Keyang 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: 106958 (2022) - [j10]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: 116509 (2022) - [j9]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): 327-344 (2022) - [j8]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): 9619 (2022) - [c10]Yingxin Shan, Peng Liao, Zhuo Wang, Lingling An:
Partial Computation Offloading and Resource Allocation via Deep Deterministic Policy Gradient. NaNA 2022: 376-383 - 2021
- [j7]Sabina Tomkins
, Peng Liao, Predrag V. Klasnja, Susan A. Murphy
:
IntelligentPooling: practical Thompson sampling for mHealth. Mach. Learn. 110(9): 2685-2727 (2021) - 2020
- [j6]Peng Liao
, Mg Xu
, Congying Yang:
A Fuzzy Ensemble Method With Deep Learning for Multi-Robot System. IEEE Access 8: 220352-220363 (2020) - [j5]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: 8740457:1-8740457:13 (2020) - [j4]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): 18:1-18:22 (2020) - [j3]Peng Liao, Chaoli Sun, Guochen Zhang, Yaochu Jin
:
Multi-surrogate multi-tasking optimization of expensive problems. Knowl. Based Syst. 205: 106262 (2020) - [c9]Peng Liao:
Computer Network Information Security Protection Measures Based on AI Intelligent Technology. ICITEE 2020: 664-667 - [i8]Sabina Tomkins, Peng Liao, Predrag V. Klasnja, Serena Yeung, Susan A. Murphy:
Rapidly Personalizing Mobile Health Treatment Policies with Limited Data. CoRR abs/2002.09971 (2020) - [i7]Sabina Tomkins, Peng Liao, Predrag V. Klasnja, Susan A. Murphy:
IntelligentPooling: Practical Thompson Sampling for mHealth. CoRR abs/2008.01571 (2020) - [i6]Zhengling Qi, Peng Liao:
Robust Batch Policy Learning in Markov Decision Processes. CoRR abs/2011.04185 (2020)
2010 – 2019
- 2019
- [j2]Peng Liao, Fei Ye
, Xiaoli Wu:
A comparison of the merchant and agency models in the hotel industry. Int. Trans. Oper. Res. 26(3): 1052-1073 (2019) - [i5]Peng Liao, Kristjan H. Greenewald, Predrag V. Klasnja, Susan A. Murphy:
Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity. CoRR abs/1909.03539 (2019) - [i4]Peng Liao, Predrag V. Klasnja, Susan A. Murphy:
Off-Policy Estimation of Long-Term Average Outcomes with Applications to Mobile Health. CoRR abs/1912.13088 (2019) - 2018
- [j1]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): 179:1-179:21 (2018) - [c8]Feiyun Zhu, Peng Liao, Xinliang Zhu, Jiawen Yao
, Junzhou Huang
:
Cohesion-driven Online Actor-Critic Reinforcement Learning for mHealth Intervention. BCB 2018: 482-491 - [c7]Feiyun Zhu, Jun Guo, Zheng Xu, Peng Liao, Liu Yang, Junzhou Huang
:
Group-Driven Reinforcement Learning for Personalized mHealth Intervention. MICCAI (1) 2018: 590-598 - 2017
- [i3]Feiyun Zhu, Peng Liao, Xinliang Zhu, Yaowen Yao, Junzhou Huang:
Cohesion-based Online Actor-Critic Reinforcement Learning for mHealth Intervention. CoRR abs/1703.10039 (2017) - [i2]Feiyun Zhu, Peng Liao:
Effective Warm Start for the Online Actor-Critic Reinforcement Learning based mHealth Intervention. CoRR abs/1704.04866 (2017) - [i1]Feiyun Zhu, Jun Guo, Zheng Xu, Peng Liao, Junzhou Huang:
Group-driven Reinforcement Learning for Personalized mHealth Intervention. CoRR abs/1708.04001 (2017) - 2012
- [c6]Xiang Cui, Binxing Fang, Peng Liao, Chaoge Liu:
Advanced triple-channel botnets: model and implementation. CCS 2012: 1019-1021 - [c5]Shuai Wang, Xiang Cui, Peng Liao, Dan Li:
S-URL Flux: A Novel C&C Protocol for Mobile Botnets. ISCTCS 2012: 412-419 - [c4]Xiang Cui, Jinqiao Shi, Peng Liao, Chaoge Liu:
The Triple-Channel Model: Toward Robust and Efficient Advanced Botnets (Poster Abstract). RAID 2012: 376-377 - 2011
- [c3]Peng Liao, Xiang Cui, Shuhao Li, Chaoge Liu:
Poster: recoverable botnets: a hybrid C&C approach. CCS 2011: 833-836 - [c2]Chaoge Liu, Weiqing Lu, Zhiqi Zhang, Peng Liao, Xiang Cui:
A recoverable hybrid C&C botnet. MALWARE 2011: 110-118 - 2010
- [c1]Jingang Liu, Peng Liao:
Research of the BA Network Information Transmitting Based on the LAN Selection Strategy. DBTA 2010: 1-5
Coauthor Index
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last updated on 2024-08-23 18:34 CEST by the dblp team
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