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D-Index & Metrics

Computer Science

D-Index
46
Citations
9572
World Ranking
6794
National Ranking
910

Overview

Chi Harold Liu is affiliated with the Beijing Institute of Technology in China and has a research focus in computer science, particularly within artificial intelligence and its applications.

Their recent research contributions include:

  • SePiCo: Semantic-Guided Pixel Contrast for Domain Adaptive Semantic Segmentation, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Causality Inspired Representation Learning for Domain Generalization, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Deep Residual Correction Network for Partial Domain Adaptation, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Active Learning for Domain Adaptation: An Energy-Based Approach, 2022, Proceedings of the AAAI Conference on Artificial Intelligence

The scientist's collaborations are frequent with several co-authors, including:

  • Shuang Li
  • Guoren Wang
  • Rui Han
  • Guozheng Li
  • Lydia Y. Chen

Chi Harold Liu has published extensively in multiple venues, with a concentration in these areas:

  • arXiv (Cornell University)
  • IEEE Transactions on Knowledge and Data Engineering
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Journal on Selected Areas in Communications
  • IEEE Transactions on Parallel and Distributed Systems

The primary field of study is computer science, with subfields that include:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications
  • Information Systems
  • Computer Science Applications

Their main research topics cover:

  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Advanced Neural Network Applications
  • Privacy-Preserving Technologies in Data
  • Mobile Crowdsensing and Crowdsourcing
  • COVID-19 diagnosis using AI
  • Data Visualization and Analytics

Best Publications

  • A Survey on Internet of Things From Industrial Market Perspective

    Charith Perera;Chi Harold Liu;Srimal Jayawardena;Min Chen

  • The Emerging Internet of Things Marketplace From an Industrial Perspective: A Survey

    Charith Perera;Chi Harold Liu;Srimal Jayawardena

  • Energy-Efficient UAV Control for Effective and Fair Communication Coverage: A Deep Reinforcement Learning Approach

    Chi Harold Liu;Zheyu Chen;Jian Tang;Jie Xu

  • Mobile Cloud Computing: A Survey, State of Art and Future Directions

    M. Reza Rahimi;Jian Ren;Chi Harold Liu;Athanasios V. Vasilakos

  • Experience-driven Networking: A Deep Reinforcement Learning based Approach

    Zhiyuan Xu;Jian Tang;Jingsong Meng;Weiyi Zhang

  • Blockchain-Enabled Data Collection and Sharing for Industrial IoT With Deep Reinforcement Learning

    Chi Harold Liu;Qiuxia Lin;Shilin Wen

  • Distributed Energy-Efficient Multi-UAV Navigation for Long-Term Communication Coverage by Deep Reinforcement Learning

    Chi Harold Liu;Xiaoxin Ma;Xudong Gao;Jian Tang

  • Context-Awareness for Mobile Sensing: A Survey and Future Directions

    Ozgur Yurur;Chi Harold Liu;Zhengguo Sheng;Victor C. M. Leung

  • Sensor Search Techniques for Sensing as a Service Architecture for the Internet of Things

    Charith Perera;Arkady Zaslavsky;Chi Harold Liu;Michael Compton

  • A Survey of Incentive Mechanisms for Participatory Sensing

    Hui Gao;Chi Harold Liu;Wendong Wang;Jianxin Zhao

  • Efficient naming, addressing and profile services in Internet-of-Things sensory environments

    Chi Harold Liu;Bo Yang;Tiancheng Liu

  • MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition

    Shuang Li;Kaixiong Gong;Chi Harold Liu;Yulin Wang

  • QoI-Aware Multitask-Oriented Dynamic Participant Selection With Budget Constraints

    Zheng Song;Chi Harold Liu;Jie Wu;Jian Ma

  • Learning-Based Energy-Efficient Data Collection by Unmanned Vehicles in Smart Cities

    Bo Zhang;Chi Harold Liu;Jian Tang;Zhiyuan Xu

  • Embedded Discriminative Attention Mechanism for Weakly Supervised Semantic Segmentation

    Tong Wu;Junshi Huang;Guangyu Gao;Xiaoming Wei

  • USA: Faster update for SDN-based internet of things sensory environments

    Tao Liu;Chi Harold Liu;Chi Harold Liu;Wendong Wang;Xiangyang Gong

  • Deep Residual Correction Network for Partial Domain Adaptation

    Shuang Li;Chi Harold Liu;Qiuxia Lin;Qi Wen

  • Heterogeneous Multi-Task Assignment in Mobile Crowdsensing Using Spatiotemporal Correlation

    Liang Wang;Zhiwen Yu;Daqing Zhang;Bin Guo

  • Energy-Efficient Distributed Mobile Crowd Sensing: A Deep Learning Approach

    Chi Harold Liu;Zheyu Chen;Yufeng Zhan

  • Distributed and Energy-Efficient Mobile Crowdsensing with Charging Stations by Deep Reinforcement Learning

    Chi Harold Liu;Zipeng Dai;Yinuo Zhao;Jon Crowcroft

  • Energy-Aware Participant Selection for Smartphone-Enabled Mobile Crowd Sensing

    Chi Harold Liu;Bo Zhang;Xin Su;Jian Ma

  • Joint Adversarial Domain Adaptation

    Shuang Li;Chi Harold Liu;Binhui Xie;Limin Su

Frequent Co-Authors

Kin K. Leung
Kin K. Leung Imperial College London
Jian Tang
Jian Tang Syracuse University
Wendong Wang
Wendong Wang University of Science and Technology of China
Charith Perera
Charith Perera Cardiff University
Jun Fan
Jun Fan Missouri University of Science and Technology
Zhengming Ding
Zhengming Ding Tulane University
Jian Ma
Jian Ma City University of Hong Kong
Pan Hui
Pan Hui Hong Kong University of Science and Technology
Jon Crowcroft
Jon Crowcroft University of Cambridge
Zhengguo Sheng
Zhengguo Sheng University of Sussex

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