World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
7498
World Ranking
9663
National Ranking
1217

Electronics and Electrical Engineering

D-Index
40
Citations
7514
World Ranking
4457
National Ranking
670

Overview

Yongpan Liu is affiliated with Tsinghua University in China, with a research focus that spans engineering and computer science, particularly within electrical and electronic engineering. Their academic work includes a strong emphasis on advanced memory and neural computing, as well as semiconductor materials and devices.

The scientist's recent publication record shows a range of studies covering topics such as nonvolatile computing, structured pruning for deep neural networks, and device-level innovations in resistive random-access memory (RRAM). Notable recent papers include:

  • Propionate alleviates myocardial ischemia-reperfusion injury aggravated by Angiotensin II dependent on caveolin-1/ACE2 axis through GPR41 (2022) in International Journal of Biological Sciences
  • STICKER-IM: A 65 nm Computing-in-Memory NN Processor Using Block-Wise Sparsity Optimization and Inter/Intra-Macro Data Reuse (2022) in IEEE Journal of Solid-State Circuits
  • StructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs (2021) in IEEE Transactions on Neural Networks and Learning Systems
  • Efficient and Robust Nonvolatile Computing-In-Memory Based on Voltage Division in 2T2R RRAM With Input-Dependent Sensing Control (2021) in IEEE Transactions on Circuits & Systems II Express Briefs
  • An Ultracompact Switching-Voltage-Based Fully Reconfigurable RRAM PUF With Low Native Instability (2020) in IEEE Transactions on Electron Devices

Yongpan Liu frequently collaborates with several coauthors, including Huazhong Yang, Xueqing Li, Jinshan Yue, Wenyu Sun, and Xiaoyu Feng.

The most common publication venues for their work are:

  • arXiv (Cornell University)
  • IEEE Journal of Solid-State Circuits
  • IEEE Transactions on Circuits & Systems II Express Briefs
  • IEEE Transactions on Circuits and Systems I Regular Papers
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Main fields of study associated with Yongpan Liu's work include:

  • Engineering
  • Computer Science

Their subfields of study highlight a concentration on:

  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Hardware and Architecture
  • Molecular Biology

Yongpan Liu's research topics encompass:

  • Advanced Memory and Neural Computing
  • Ferroelectric and Negative Capacitance Devices
  • Advanced Neural Network Applications
  • Semiconductor materials and devices
  • Parallel Computing and Optimization Techniques
  • Physical Unclonable Functions (PUFs) and Hardware Security
  • Neural Networks and Reservoir Computing

Best Publications

  • PRIME: a novel processing-in-memory architecture for neural network computation in ReRAM-based main memory

    Ping Chi;Shuangchen Li;Cong Xu;Tao Zhang

  • Accurate temperature-dependent integrated circuit leakage power estimation is easy

    Yongpan Liu;Robert P. Dick;Li Shang;Huazhong Yang

  • Architecture exploration for ambient energy harvesting nonvolatile processors

    Kaisheng Ma;Yang Zheng;Shuangchen Li;Karthik Swaminathan

  • A 3us wake-up time nonvolatile processor based on ferroelectric flip-flops

    Unknown

  • Thermal vs Energy Optimization for DVFS-Enabled Processors in Embedded Systems

    Yongpan Liu;Huazhong Yang;R.P. Dick;H. Wang

  • GraphH: A Processing-in-Memory Architecture for Large-Scale Graph Processing

    Guohao Dai;Tianhao Huang;Yuze Chi;Jishen Zhao

  • Ambient energy harvesting nonvolatile processors: from circuit to system

    Yongpan Liu;Zewei Li;Hehe Li;Yiqun Wang

  • A 2.75-to-75.9TOPS/W Computing-in-Memory NN Processor Supporting Set-Associate Block-Wise Zero Skipping and Ping-Pong CIM with Simultaneous Computation and Weight Updating

    Jinshan Yue;Xiaoyu Feng;Yifan He;Yuxuan Huang

  • 14.3 A 65nm Computing-in-Memory-Based CNN Processor with 2.9-to-35.8TOPS/W System Energy Efficiency Using Dynamic-Sparsity Performance-Scaling Architecture and Energy-Efficient Inter/Intra-Macro Data Reuse

    Jinshan Yue;Zhe Yuan;Xiaoyu Feng;Yifan He

  • A global and updatable ECG beat classification system based on recurrent neural networks and active learning

    Guijin Wang;Chenshuang Zhang;Yongpan Liu;Huazhong Yang

  • Sticker: A 0.41-62.1 TOPS/W 8Bit Neural Network Processor with Multi-Sparsity Compatible Convolution Arrays and Online Tuning Acceleration for Fully Connected Layers

    Zhe Yuan;Jinshan Yue;Huanrui Yang;Zhibo Wang

  • Storage-Less and Converter-Less Photovoltaic Energy Harvesting With Maximum Power Point Tracking for Internet of Things

    Yiqun Wang;Yongpan Liu;Cong Wang;Zewei Li

  • A 462GOPs/J RRAM-based nonvolatile intelligent processor for energy harvesting IoE system featuring nonvolatile logics and processing-in-memory

    Fang Su;Wei-Hao Chen;Lixue Xia;Chieh-Pu Lo

  • Fixing the broken time machine: consistency-aware checkpointing for energy harvesting powered non-volatile processor

    Mimi Xie;Mengying Zhao;Chen Pan;Jingtong Hu

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

    Chao Zhang;Guangyu Sun;Xian Zhang;Weiqi Zhang

  • Study on micro-atmospheric environment by coupling large eddy simulation with mesoscale model

    Y.S. Liu;Y.S. Liu;S.G. Miao;C.L. Zhang;G.X. Cui;G.X. Cui

  • STICKER: An Energy-Efficient Multi-Sparsity Compatible Accelerator for Convolutional Neural Networks in 65-nm CMOS

    Zhe Yuan;Yongpan Liu;Jinshan Yue;Yixiong Yang

  • Nonvolatile Processor Architecture Exploration for Energy-Harvesting Applications

    Kaisheng Ma;Xueqing Li;Shuangchen Li;Yongpan Liu

  • 4.7 A 65nm ReRAM-enabled nonvolatile processor with 6× reduction in restore time and 4× higher clock frequency using adaptive data retention and self-write-termination nonvolatile logic

    Yongpan Liu;Zhibo Wang;Albert Lee;Fang Su

  • Storage-less and converter-less maximum power point tracking of photovoltaic cells for a nonvolatile microprocessor

    Cong Wang;Naehyuck Chang;Younghyun Kim;Sangyoung Park

  • An energy-efficient heterogeneous dual-core processor for Internet of Things

    Zhibo Wang;Yongpan Liu;Yinan Sun;Yang Li

Frequent Co-Authors

Huazhong Yang
Huazhong Yang Tsinghua University
Chun Jason Xue
Chun Jason Xue Mohamed bin Zayed University of Artificial Intelligence
Meng-Fan Chang
Meng-Fan Chang National Tsing Hua University
Jingtong Hu
Jingtong Hu University of Pittsburgh
Yuan Xie
Yuan Xie Hong Kong University of Science and Technology
Yanzhi Wang
Yanzhi Wang Northeastern University
Xiaojun Guo
Xiaojun Guo Shanghai Jiao Tong University
Guangyu Sun
Guangyu Sun Peking University
Ya-Chin King
Ya-Chin King National Tsing Hua University
Suman Datta
Suman Datta Georgia Institute of Technology

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