Peng Liao

Orcid: 0009-0006-9711-7142

According to our database1, Peng Liao authored at least 38 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
PV-SSD: A Multi-Modal Point Cloud 3D Object Detector Based on Projection Features and Voxel Features.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2024

TFSemantic: A Time-Frequency Semantic GAN Framework for Imbalanced Classification Using Radio Signals.
ACM Trans. Sens. Networks, July, 2024

Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling.
Mach. Learn., July, 2024

An extended cellular automation model for bicycles with group and retrograde behaviors at signalized intersections.
Simul. Model. Pract. Theory, 2024

Evaluation of waterway lock service quality in Yangtze Delta: from the perspectives of customer and supplier.
CoRR, 2024

Analysis of vessel traffic flow characteristics in inland restricted waterways using multi-source data.
CoRR, 2024

MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets.
CoRR, 2024

2023
Framework for understanding intention-unbreakable malware.
Sci. China Inf. Sci., April, 2023

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., 2023

Classical to Quantum Transfer Learning Framework for Wireless Sensing Under Domain Shift.
Proceedings of the IEEE Global Communications Conference, 2023

EMT-NAS: Transferring architectural knowledge between tasks from different datasets.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
A Driving-Adapt Strategy for the Electric Vehicle with Magneto-Rheological Fluid Transmission Considering the Powertrain Characteristics.
Sensors, 2022

Dynamic Marketing Resource Allocation with Two-Stage Decisions.
J. Theor. Appl. Electron. Commer. Res., 2022

Wind speed forecasting based on model selection, fuzzy cluster, and multi-objective algorithm and wind energy simulation by Betz's theory.
Expert Syst. Appl., 2022

A quantitative study of bone defects in displaced femoral neck fractures based on virtual reduction techniques.
Comput. Methods Programs Biomed., 2022

Partial Computation Offloading and Resource Allocation via Deep Deterministic Policy Gradient.
Proceedings of the International Conference on Networking and Network Applications, 2022

2021
IntelligentPooling: practical Thompson sampling for mHealth.
Mach. Learn., 2021

2020
Multi-surrogate multi-tasking optimization of expensive problems.
Knowl. Based Syst., 2020

Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Robust Batch Policy Learning in Markov Decision Processes.
CoRR, 2020

Rapidly Personalizing Mobile Health Treatment Policies with Limited Data.
CoRR, 2020

Data-Driven Models for Capacity Allocation of Inpatient Beds in a Chinese Public Hospital.
Comput. Math. Methods Medicine, 2020

A Fuzzy Ensemble Method With Deep Learning for Multi-Robot System.
IEEE Access, 2020

Computer Network Information Security Protection Measures Based on AI Intelligent Technology.
Proceedings of the ICITEE2020: The 3rd International Conference on Information Technologies and Electrical Engineering, 2020

2019
A comparison of the merchant and agency models in the hotel industry.
Int. Trans. Oper. Res., 2019

Off-Policy Estimation of Long-Term Average Outcomes with Applications to Mobile Health.
CoRR, 2019

2018
Just-in-Time but Not Too Much: Determining Treatment Timing in Mobile Health.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Group-Driven Reinforcement Learning for Personalized mHealth Intervention.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Cohesion-driven Online Actor-Critic Reinforcement Learning for mHealth Intervention.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2017
Group-driven Reinforcement Learning for Personalized mHealth Intervention.
CoRR, 2017

Cohesion-based Online Actor-Critic Reinforcement Learning for mHealth Intervention.
CoRR, 2017

Effective Warm Start for the Online Actor-Critic Reinforcement Learning based mHealth Intervention.
CoRR, 2017

2012
The Triple-Channel Model: Toward Robust and Efficient Advanced Botnets (Poster Abstract).
Proceedings of the Research in Attacks, Intrusions, and Defenses, 2012

S-URL Flux: A Novel C&C Protocol for Mobile Botnets.
Proceedings of the Trustworthy Computing and Services - International Conference, ISCTCS 2012, Beijing, China, May 28, 2012

Advanced triple-channel botnets: model and implementation.
Proceedings of the ACM Conference on Computer and Communications Security, 2012

2011
A recoverable hybrid C&C botnet.
Proceedings of the 6th International Conference on Malicious and Unwanted Software, 2011

Poster: recoverable botnets: a hybrid C&C approach.
Proceedings of the 18th ACM Conference on Computer and Communications Security, 2011

2010
Research of the BA Network Information Transmitting Based on the LAN Selection Strategy.
Proceedings of the Second International Workshop on Database Technology and Applications, 2010


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