World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
5846
World Ranking
8517
National Ranking
1111

Overview

Yun Liang is affiliated with Peking University in China and has contributed extensively to research primarily within computer science and engineering. Their work spans multiple subfields including electrical and electronic engineering, computer vision and pattern recognition, hardware and architecture, artificial intelligence, and biomedical engineering.

Their research topics cover a range of applied and theoretical areas such as parallel computing and optimization techniques, aerosol filtration and electrostatic precipitation, advanced neural network applications, embedded systems design techniques, advanced sensor and energy harvesting materials, advanced image and video retrieval techniques, and advancements in battery materials.

Some of Yun Liang's recent publications include:

  • "Tillandsia-Inspired Hygroscopic Photothermal Organogels for Efficient Atmospheric Water Harvesting" (2020), published in Angewandte Chemie International Edition
  • "Structural insights into composition design of Li-rich layered cathode materials for high-energy rechargeable battery" (2021), published in Materials Today
  • "Graphene wrapped silicon suboxides anodes with suppressed Li-uptake behavior enabled superior cycling stability" (2020), published in Energy Storage Materials
  • "Biomimetic underwater self-perceptive actuating soft system based on highly compliant, morphable and conductive sandwiched thin films" (2020), published in Nano Energy
  • "An Efficient Hardware Design for Accelerating Sparse CNNs With NAS-Based Models" (2021), published in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Yun Liang's frequent coauthors include Min Tang, Liqiang Lu, Guilong Xu, Tianle You, and Peng Xiao. This collaborative network indicates active engagement in multidisciplinary research projects.

Regarding publication venues, Yun Liang has contributed significantly to journals and platforms such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • SSRN Electronic Journal
  • Separation and Purification Technology
  • Advanced Functional Materials

Yun Liang's research output demonstrates a focus on integrating advanced computing techniques with material science and engineering applications. Their work intersects development in hardware design, neural networks, and material innovations, reflecting diverse expertise and interests within both theoretical and applied domains.

Best Publications

  • Automated Systolic Array Architecture Synthesis for High Throughput CNN Inference on FPGAs

    Xuechao Wei;Cody Hao Yu;Peng Zhang;Youxiang Chen

  • Chronos: A timing analyzer for embedded software

    Xianfeng Li;Yun Liang;Tulika Mitra;Abhik Roychoudhury

  • Evaluating Fast Algorithms for Convolutional Neural Networks on FPGAs

    Liqiang Lu;Yun Liang;Qingcheng Xiao;Shengen Yan

  • C-LSTM: Enabling Efficient LSTM using Structured Compression Techniques on FPGAs

    Shuo Wang;Zhe Li;Caiwen Ding;Bo Yuan

  • Exploring Heterogeneous Algorithms for Accelerating Deep Convolutional Neural Networks on FPGAs

    Qingcheng Xiao;Yun Liang;Liqiang Lu;Shengen Yan

  • Timing analysis of concurrent programs running on shared cache multi-cores

    Yun Liang;Huping Ding;Tulika Mitra;Abhik Roychoudhury

  • Timing Analysis of Concurrent Programs Running on Shared Cache Multi-Cores

    Yan Li;Vivy Suhendra;Yun Liang;Tulika Mitra

  • Sanger: A Co-Design Framework for Enabling Sparse Attention using Reconfigurable Architecture

    Liqiang Lu;Yicheng Jin;Hangrui Bi;Zizhang Luo

  • Coordinated static and dynamic cache bypassing for GPUs

    Xiaolong Xie;Yun Liang;Yu Wang;Guangyu Sun

  • FlexTensor: An Automatic Schedule Exploration and Optimization Framework for Tensor Computation on Heterogeneous System

    Size Zheng;Yun Liang;Shuo Wang;Renze Chen

  • An Efficient Hardware Accelerator for Sparse Convolutional Neural Networks on FPGAs

    Liqiang Lu;Jiaming Xie;Ruirui Huang;Jiansong Zhang

  • Evaluating Fast Algorithms for Convolutional Neural Networks on FPGAs

    Yun Liang;Liqiang Lu;Qingcheng Xiao;Shengen Yan

  • Lin-analyzer: a high-level performance analysis tool for FPGA-based accelerators

    Guanwen Zhong;Alok Prakash;Yun Liang;Tulika Mitra

  • An efficient compiler framework for cache bypassing on GPUs

    Xiaolong Xie;Yun Liang;Guangyu Sun;Deming Chen

  • Efficient GPU Spatial-Temporal Multitasking

    Yun Liang;Huynh Phung Huynh;Kyle Rupnow;Rick Siow Mong Goh

  • High-level synthesis: productivity, performance, and software constraints

    Yun Liang;Kyle Rupnow;Yinan Li;Dongbo Min

  • REQ-YOLO: A Resource-Aware, Efficient Quantization Framework for Object Detection on FPGAs

    Caiwen Ding;Shuo Wang;Ning Liu;Kaidi Xu

  • Improving high level synthesis optimization opportunity through polyhedral transformations

    Wei Zuo;Yun Liang;Peng Li;Kyle Rupnow

  • Hi-fi playback: tolerating position errors in shift operations of racetrack memory

    Chao Zhang;Guangyu Sun;Xian Zhang;Weiqi Zhang

  • Enabling coordinated register allocation and thread-level parallelism optimization for GPUs

    Xiaolong Xie;Yun Liang;Xiuhong Li;Yudong Wu

  • SpWA: an efficient sparse winograd convolutional neural networks accelerator on FPGAs

    Liqiang Lu;Yun Liang

  • COMBA: a comprehensive model-based analysis framework for high level synthesis of real applications

    Jieru Zhao;Liang Feng;Sharad Sinha;Wei Zhang

Frequent Co-Authors

Tulika Mitra
Tulika Mitra National University of Singapore
Deming Chen
Deming Chen University of Illinois at Urbana-Champaign
Jason Cong
Jason Cong University of California, Los Angeles
Guangyu Sun
Guangyu Sun Peking University
Wei Tan
Wei Tan Citadel LLC
Abhik Roychoudhury
Abhik Roychoudhury National University of Singapore
Bingsheng He
Bingsheng He National University of Singapore
Qinru Qiu
Qinru Qiu Syracuse University
Yanzhi Wang
Yanzhi Wang Northeastern University
Wen-mei W. Hwu
Wen-mei W. Hwu University of Illinois at Urbana-Champaign

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