World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
41
Citations
6946
World Ranking
4292
National Ranking
653

Overview

Qiang Xu is affiliated with the Chinese University of Hong Kong in China. Their research spans the fields of Computer Science and Engineering, with significant contributions across these domains. The primary subfields of study include Artificial Intelligence, Electrical and Electronic Engineering, and Computer Vision and Pattern Recognition. Additional involvement extends to Materials Chemistry and Biomedical Engineering.

The scientist's work addresses diverse topics such as Human Pose and Action Recognition, Anomaly Detection Techniques and Applications, Diabetic Foot Ulcer Assessment and Management, Advanced oxidation water treatment, Generative Adversarial Networks and Image Synthesis, Adversarial Robustness in Machine Learning, and Time Series Analysis and Forecasting.

Frequent collaborators in Qiang Xu's research include Ailing Zeng, Zhengyuan Shi, Sadaf Khan, Ruiyuan Gao, and Shengxiao Zhang.

They have published extensively in a variety of venues, notably:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Processes
  • Proceedings of the 59th ACM/IEEE Design Automation Conference
  • The Science of The Total Environment

Some of their recent papers include:

  • "Are Transformers Effective for Time Series Forecasting?", 2023, Proceedings of the AAAI Conference on Artificial Intelligence
  • "New opportunities and challenges of natural products research: When target identification meets single-cell multiomics", 2022, Acta Pharmaceutica Sinica B
  • "Are Transformers Effective for Time Series Forecasting?", 2022, arXiv (Cornell University)
  • "Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation", 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "The Deep Features and Attention Mechanism-Based Method to Dish Healthcare Under Social IoT Systems: An Empirical Study With a Hand-Deep Local-Global Net", 2021, IEEE Transactions on Computational Social Systems

In addition to journal and conference publications, Qiang Xu has contributed to scholarly books. They authored a book titled Physical Model and Applications of High-Efficiency Electro-Optical Conversion Devices - Volume II, published by Frontiers Media in 2023.

Best Publications

  • Approximate Computing: A Survey

    Qiang Xu;Todd Mytkowicz;Nam Sung Kim

  • VeriTrust: Verification for Hardware Trust

    Jie Zhang;Feng Yuan;Lingxiao Wei;Yannan Liu

  • Trace signal selection for visibility enhancement in post-silicon validation

    Xiao Liu;Qiang Xu

  • On reconfiguration-oriented approximate adder design and its application

    Rong Ye;Ting Wang;Feng Yuan;Rakesh Kumar

  • VeriTrust: verification for hardware trust

    Jie Zhang;Feng Yuan;Lingxiao Wei;Zelong Sun

  • ApproxANN: an approximate computing framework for artificial neural network

    Qian Zhang;Ting Wang;Ye Tian;Feng Yuan

  • DeTrust: Defeating Hardware Trust Verification with Stealthy Implicitly-Triggered Hardware Trojans

    Jie Zhang;Feng Yuan;Qiang Xu

  • On Reusing Test Access Mechanisms for Debug Data Transfer in SoC Post-Silicon Validation

    Xiao Liu;Qiang Xu

  • Lifetime reliability-aware task allocation and scheduling for MPSoC platforms

    Lin Huang;Feng Yuan;Qiang Xu

  • Test architecture design and optimization for three-dimensional SoCs

    Li Jiang;Lin Huang;Qiang Xu

  • On effective TSV repair for 3D-stacked ICs

    Li Jiang;Qiang Xu;Bill Eklow

  • On Topology Reconfiguration for Defect-Tolerant NoC-Based Homogeneous Manycore Systems

    Lei Zhang;Yinhe Han;Qiang Xu;Xiao wei Li

  • Layout-driven test-architecture design and optimization for 3D SoCs under pre-bond test-pin-count constraint

    Li Jiangs;Qiang Xu;Krishnendu Chakrabarty;T. M. Mak

  • ApproxIt: An Approximate Computing Framework for Iterative Methods

    Qian Zhang;Feng Yuan;Rong Ye;Qiang Xu

  • On Code Execution Tracking via Power Side-Channel

    Yannan Liu;Lingxiao Wei;Zhe Zhou;Kehuan Zhang

  • Yield enhancement for 3D-stacked memory by redundancy sharing across dies

    Li Jiang;Rong Ye;Qiang Xu

  • Defect tolerance in homogeneous manycore processors using core-level redundancy with unified topology

    Lei Zhang;Yinhe Han;Qiang Xu;Xiaowei Li

  • Mapping of applications to MPSoCs

    Peter Marwedel;Iuliana Bacivarov;Chanhee Lee;Jurgen Teich

  • On Effective Through-Silicon Via Repair for 3-D-Stacked ICs

    Li Jiang;Qiang Xu;B. Eklow

  • On Task Allocation and Scheduling for Lifetime Extension of Platform-Based MPSoC Designs

    Lin Huang;Feng Yuan;Qiang Xu

  • A multi-core debug platform for NoC-based systems

    Shan Tang;Qiang Xu

Frequent Co-Authors

Nicola Nicolici
Nicola Nicolici McMaster University
Krishnendu Chakrabarty
Krishnendu Chakrabarty Arizona State University
Nam Sung Kim
Nam Sung Kim University of Illinois at Urbana-Champaign
Philip H. W. Leong
Philip H. W. Leong University of Sydney
Huazhong Yang
Huazhong Yang Tsinghua University
Yuan Xie
Yuan Xie Hong Kong University of Science and Technology
Sung Kyu Lim
Sung Kyu Lim Georgia Institute of Technology
Andre Ivanov
Andre Ivanov University of British Columbia
Yongpan Liu
Yongpan Liu Tsinghua University

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