World's Best Scientists 2026 revealed!
Qianchuan Zhao

Qianchuan Zhao

D-Index & Metrics

Computer Science

D-Index
37
Citations
5849
World Ranking
10757
National Ranking
1326

Overview

Qianchuan Zhao is affiliated with Tsinghua University in China and has an extensive record of research contributions primarily in the fields of Engineering and Computer Science, with 154 publications in each domain. Their work spans several specialized subfields, including Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Building and Construction, and Computer Networks and Communications.

Their research covers a range of main topics, notably:

  • Building Energy and Comfort Optimization
  • Reinforcement Learning in Robotics
  • Smart Grid Energy Management
  • Video Surveillance and Tracking Methods
  • Advanced Neural Network Applications
  • IoT and Edge/Fog Computing
  • Image Enhancement Techniques

Qianchuan Zhao has collaborated frequently with a number of coauthors, including:

  • Kailai Sun (28 joint publications)
  • Tian Xing (14 joint publications)
  • Ming Wang (12 joint publications)
  • Jun Yang (12 joint publications)
  • Chongjie Zhang (12 joint publications)

Their most frequent publication venues highlight a focus on both pre-publication dissemination and peer-reviewed research:

  • arXiv (Cornell University) with 32 publications
  • SSRN Electronic Journal with 8 publications
  • Building and Environment with 7 publications
  • IEEE Transactions on Automation Science and Engineering with 7 publications
  • Energy and Buildings with 6 publications

Selected recent papers authored or coauthored by Zhao include:

  • A review of building occupancy measurement systems, 2020, Energy and Buildings
  • Improved YOLOv8-GD deep learning model for defect detection in electroluminescence images of solar photovoltaic modules, 2024, Engineering Applications of Artificial Intelligence
  • Data driven battery anomaly detection based on shape based clustering for the data centers class, 2020, Journal of Energy Storage
  • Celebrating Diversity in Shared Multi-Agent Reinforcement Learning, 2021, arXiv (Cornell University)
  • Joint Optimization and Learning Approach for Smart Operation of Hydrogen-Based Building Energy Systems, 2022, IEEE Transactions on Smart Grid

In addition to journal articles, Qianchuan Zhao has contributed to book publications. One such book is titled "Performance Evaluation Methodologies and Tools," published in 2021 as part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering series.

Best Publications

  • Opportunistic Spectrum Access via Periodic Channel Sensing

    Qianchuan Zhao;S. Geirhofer;Lang Tong;B.M. Sadler

  • Learning a saliency map using fixated locations in natural scenes.

    Qi Zhao;Christof Koch;Christof Koch

  • Ordinal Optimization: Soft Optimization for Hard Problems

    Yu-Chi Ho;Qian-Chuan Zhao;Qing-Shan Jia

  • A study of system splitting strategies for island operation of power system: a two-phase method based on OBDDs

    Qianchuan Zhao;Kai Sun;Da-Zhong Zheng;Jin Ma

  • Optimal Dynamic Spectrum Access via Periodic Channel Sensing

    Qianchuan Zhao;S. Geirhofer;Lang Tong;B.M. Sadler

  • Control and Bidding Strategy for Virtual Power Plants With Renewable Generation and Inelastic Demand in Electricity Markets

    Qianchuan Zhao;Ying Shen;Mingyang Li

  • A review of building occupancy measurement systems

    Kailai Sun;Qianchuan Zhao;Jianhong Zou

  • Satisfaction based Q-learning for integrated lighting and blind control

    Zhijin Cheng;Qianchuan Zhao;Fulin Wang;Yi Jiang

  • Occupancy detection in the office by analyzing surveillance videos and its application to building energy conservation

    Jianhong Zou;Qianchuan Zhao;Wen Yang;Fulin Wang

  • A dynamic queue protocol for multiaccess wireless networks with multipacket reception

    Qing Zhao;L. Tong

  • A data-driven method to describe the personalized dynamic thermal comfort in ordinary office environment: From model to application

    Qianchuan Zhao;Yin Zhao;Fulin Wang;Jinlong Wang

  • Optimal Cognitive Access of Markovian Channels under Tight Collision Constraints

    Xin Li;Qianchuan Zhao;Xiaohong Guan;Lang Tong

  • Improved YOLOv8-GD deep learning model for defect detection in electroluminescence images of solar photovoltaic modules

    Unknown

  • Method and system for evaluating building fire situation and instructing evacuation

    Lifeng Qiao;Hui Zhang;Rui Yang;Yanyan Chu

  • A formal model for analyzing drug combination effects and its application in TNF-α-induced NFκB pathway

    Han Yan;Bo Zhang;Shao Li;Qianchuan Zhao

  • Predictive control of indoor environment using occupant number detected by video data and CO2 concentration

    Fulin Wang;Fulin Wang;Qingqing Feng;Qingqing Feng;Zheliang Chen;Qianchuan Zhao

  • A remark on "Scalar equations for synchronous Boolean networks with biological Applications" by C. Farrow, J. Heidel, J. Maloney, and J. Rogers

    Qianchuan Zhao

  • Measuring indoor occupancy in intelligent buildings using the fusion of vision sensors

    Dixin Liu;Dixin Liu;Xiaohong Guan;Xiaohong Guan;Youtian Du;Qianchuan Zhao

  • Bottlenecks in production networks: An overview

    Yongcai Wang;Qianchuan Zhao;Dazhong Zheng

  • Optimality of Myopic Sensing in Multi-Channel Opportunistic Access

    T. Javidi;B. Krishnamachari;Qing Zhao;Mingyan Liu

  • Cooperation and Learning in Multiuser Opportunistic Spectrum Access

    Hua Liu;B. Krishnamachari;Qing Zhao

  • Preliminary study of learning individual thermal complaint behavior using one-class classifier for indoor environment control

    Qianchuan Zhao;Yin Zhao;Fulin Wang;Yi Jiang

  • Optimal Dynamic Voltage Scaling in Energy-Limited Nonpreemptive Systems with Real-Time Constraints

    Jianfeng Mao;C.G. Cassandras;Qianchuan Zhao

  • Generating test inputs for embedded control systems

    Qianchuan Zhao;B.H. Krogh;P. Hubbard

  • On the Surrogate Gradient Algorithm for Lagrangian Relaxation

    T. Sun;Q. C. Zhao;P. B. Luh

Frequent Co-Authors

Qing-Shan Jia
Qing-Shan Jia Tsinghua University
Xiaohong Guan
Xiaohong Guan Xi'an Jiaotong University
Peter B. Luh
Peter B. Luh University of Connecticut
Yu-Chi Ho
Yu-Chi Ho Harvard University
Yi Jiang
Yi Jiang Tsinghua University
Lang Tong
Lang Tong Cornell University
Bruce H. Krogh
Bruce H. Krogh Carnegie Mellon University
Jingshan Li
Jingshan Li University of Wisconsin–Madison
Christos G. Cassandras
Christos G. Cassandras Boston University
Brian M. Sadler
Brian M. Sadler United States Army Research Laboratory

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