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Computer Science

D-Index
46
Citations
12786
World Ranking
6704
National Ranking
899

Overview

Yiqiang Chen is affiliated with the Chinese Academy of Sciences in China, contributing extensively to research in the field of computer science. Their work largely centers on artificial intelligence and its various subfields, including computer vision, biomedical engineering, and cognitive neuroscience.

The research topics covered by Yiqiang Chen span several key areas:

  • Domain Adaptation and Few-Shot Learning
  • Privacy-Preserving Technologies in Data
  • Anomaly Detection Techniques and Applications
  • Context-Aware Activity Recognition Systems
  • Human Pose and Action Recognition
  • Machine Learning and Data Classification
  • Multimodal Machine Learning Applications

Among their recent papers are the following publications:

  • "FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare," 2020, IEEE Intelligent Systems
  • "Generalizing to Unseen Domains: A Survey on Domain Generalization," 2022, IEEE Transactions on Knowledge and Data Engineering
  • "Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals," 2021, IEEE Transactions on Knowledge and Data Engineering
  • "Adaptive Memory Networks With Self-Supervised Learning for Unsupervised Anomaly Detection," 2022, IEEE Transactions on Knowledge and Data Engineering
  • "Generalizing to Unseen Domains: A Survey on Domain Generalization," 2021, arXiv (Cornell University)

Yiqiang Chen collaborates frequently with several co-authors, including:

  • Jindong Wang
  • Yingwei Zhang
  • Lu Wang
  • Xinlong Jiang
  • Xiaodong Yang

Their work is published in a variety of scientific venues, with a notable presence in:

  • arXiv (Cornell University)
  • IEEE Transactions on Knowledge and Data Engineering
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • ACM Transactions on Intelligent Systems and Technology
  • IEEE Internet of Things Journal

Yiqiang Chen has also contributed to book literature with a publication under Springer Nature, titled Introduction to Transfer Learning, published in 2023.

Best Publications

  • Deep learning for sensor-based activity recognition: A survey

    Jindong Wang;Yiqiang Chen;Shuji Hao;Xiaohui Peng

  • FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare

    Yiqiang Chen;Xin Qin;Jindong Wang;Chaohui Yu

  • Weighted extreme learning machine for imbalance learning

    Weiwei Zong;Guang-Bin Huang;Yiqiang Chen

  • Extreme Learning Machine

    Erik Cambria;Guang-Bin Huang;Liyanaarachchi Lekamalage Chamara Kasun;Hongming Zhou

  • Visual Domain Adaptation with Manifold Embedded Distribution Alignment

    Jindong Wang;Wenjie Feng;Yiqiang Chen;Han Yu

  • Balanced Distribution Adaptation for Transfer Learning

    Jindong Wang;Yiqiang Chen;Shuji Hao;Wenjie Feng

  • Unobtrusive sleep monitoring using smartphones

    Zhenyu Chen;Mu Lin;Fanglin Chen;Nicholas D. Lane

  • Power-efficient access-point selection for indoor location estimation

    Yiqiang Chen;Qiang Yang;Jie Yin;Xiaoyong Chai

  • Transfer Learning with Dynamic Adversarial Adaptation Network

    Chaohui Yu;Jindong Wang;Yiqiang Chen;Meiyu Huang

  • Transfer Learning with Dynamic Distribution Adaptation

    Jindong Wang;Yiqiang Chen;Wenjie Feng;Han Yu

  • Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals

    Yuxin Zhang;Yiqiang Chen;Jindong Wang;Zhiwen Pan

  • Stratified Transfer Learning for Cross-domain Activity Recognition

    Jindong Wang;Yiqiang Chen;Lisha Hu;Xiaohui Peng

  • Cross-people mobile-phone based activity recognition

    Zhongtang Zhao;Yiqiang Chen;Junfa Liu;Zhiqi Shen

  • Easy Transfer Learning By Exploiting Intra-Domain Structures

    Jindong Wang;Yiqiang Chen;Han Yu;Meiyu Huang

  • Mitigating Herding in Hierarchical Crowdsourcing Networks.

    Han Yu;Chunyan Miao;Cyril Leung;Cyril Leung;Yiqiang Chen;Yiqiang Chen

  • A Chinese sign language recognition system based on SOFM/SRN/HMM

    Wen Gao;Gaolin Fang;Debin Zhao;Yiqiang Chen

  • Multidimensional Vector Regression for Accurate and Low-Cost Location Estimation in Pervasive Computing

    Jeffrey Junfeng Pan;J.T. Kwok;Qiang Yang;Yiqiang Chen

  • Building Sparse Multiple-Kernel SVM Classifiers

    Mingqing Hu;Yiqiang Chen;J.T.-Y. Kwok

  • Adaptive Memory Networks With Self-Supervised Learning for Unsupervised Anomaly Detection

    Unknown

  • Deep Transfer Learning for Cross-domain Activity Recognition

    Jindong Wang;Vincent W. Zheng;Yiqiang Chen;Meiyu Huang

  • A calibration-free localization solution for handling signal strength variance

    Fangfang Dong;Yiqiang Chen;Junfa Liu;Qiong Ning

  • Transition movement models for large vocabulary continuous sign language recognition

    Wen Gao;Gaolin Fang;Debin Zhao;Yiqiang Chen

Frequent Co-Authors

Wen Gao
Wen Gao Peking University
Han Yu
Han Yu Nanyang Technological University
Chunyan Miao
Chunyan Miao Nanyang Technological University
Qiang Yang
Qiang Yang Hong Kong University of Science and Technology
Zhiqi Shen
Zhiqi Shen Nanyang Technological University
Min Chen
Min Chen South China University of Technology
Cyril Leung
Cyril Leung University of British Columbia
Xilin Chen
Xilin Chen University of Chinese Academy of Sciences
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Charles X. Ling
Charles X. Ling University of Western Ontario

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