D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 68 Citations 27,362 390 World Ranking 319 National Ranking 147

Research.com Recognitions

Awards & Achievements

2019 - IEEE Fellow For contributions to neuromorphic computing systems

2017 - ACM Distinguished Member

2016 - ACM Senior Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Central processing unit
  • Electrical engineering

His primary areas of investigation include Electronic engineering, Memristor, Artificial neural network, Crossbar switch and Computer hardware. His work carried out in the field of Electronic engineering brings together such families of science as Spin-transfer torque, Resistive random-access memory, State, Transistor and Electrical engineering. His Memristor research incorporates elements of Spintronics, Process variation and Sensitivity.

His Artificial neural network research is under the purview of Artificial intelligence. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Algorithm, Machine learning and Speedup. Hai Li has researched Crossbar switch in several fields, including Neuromorphic engineering, Backpropagation, Robustness and Memistor.

His most cited work include:

  • Learning Structured Sparsity in Deep Neural Networks (1235 citations)
  • TernGrad: ternary gradients to reduce communication in distributed deep learning (324 citations)
  • Spintronic Memristor Through Spin-Torque-Induced Magnetization Motion (277 citations)

What are the main themes of his work throughout his whole career to date?

The scientist’s investigation covers issues in Artificial neural network, Electronic engineering, Memristor, Neuromorphic engineering and Artificial intelligence. His work investigates the relationship between Artificial neural network and topics such as Computation that intersect with problems in Regularization. His Electronic engineering study combines topics from a wide range of disciplines, such as Non-volatile memory, Electrical engineering, Resistive random-access memory, Voltage and Torque.

His Memristor research integrates issues from Spintronics, Electronic circuit, Crossbar switch, Memistor and Circuit design. The Neuromorphic engineering study which covers Embedded system that intersects with Random access memory. His Artificial intelligence research is mostly focused on the topic Deep learning.

He most often published in these fields:

  • Artificial neural network (23.41%)
  • Electronic engineering (21.88%)
  • Memristor (18.32%)

What were the highlights of his more recent work (between 2017-2021)?

  • Artificial neural network (23.41%)
  • Artificial intelligence (15.27%)
  • Neuromorphic engineering (16.03%)

In recent papers he was focusing on the following fields of study:

Artificial neural network, Artificial intelligence, Neuromorphic engineering, Computation and Algorithm are his primary areas of study. The various areas that Hai Li examines in his Artificial neural network study include Computer architecture, Computer engineering and Resistive random-access memory. His Artificial intelligence research incorporates themes from Machine learning and Pattern recognition.

His work in Neuromorphic engineering tackles topics such as Electronic circuit which are related to areas like Electronic engineering. The concepts of his Computation study are interwoven with issues in Regularization, Speedup, Computational science, Convolution and Kernel. In his study, which falls under the umbrella issue of Deep learning, Smoothing is strongly linked to Stochastic gradient descent.

Between 2017 and 2021, his most popular works were:

  • GraphR: Accelerating Graph Processing Using ReRAM (88 citations)
  • Low-Power, Adaptive Neuromorphic Systems: Recent Progress and Future Directions (51 citations)
  • DPatch: An Adversarial Patch Attack on Object Detectors (41 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Central processing unit
  • Electrical engineering

Hai Li mostly deals with Artificial neural network, Artificial intelligence, Deep learning, Computer architecture and Adversarial system. His studies in Artificial neural network integrate themes in fields like Computer engineering and Resistive random-access memory. His research investigates the connection between Artificial intelligence and topics such as Machine learning that intersect with issues in Information privacy.

His study looks at the intersection of Deep learning and topics like Data modeling with Field-programmable gate array and Adversarial process. His Neuromorphic engineering research includes elements of Memristor, Data transmission, Energy consumption, Transmission and Interconnection. The subject of his Memristor research is within the realm of Electronic engineering.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Learning Structured Sparsity in Deep Neural Networks

Wei Wen;Chunpeng Wu;Yandan Wang;Yiran Chen.
neural information processing systems (2016)

1368 Citations

Spintronic Memristor Through Spin-Torque-Induced Magnetization Motion

Xiaobin Wang;Yiran Chen;Haiwen Xi;Hai Li.
IEEE Electron Device Letters (2009)

382 Citations

PipeLayer: A Pipelined ReRAM-Based Accelerator for Deep Learning

Linghao Song;Xuehai Qian;Hai Li;Yiran Chen.
high-performance computer architecture (2017)

371 Citations

TernGrad: ternary gradients to reduce communication in distributed deep learning

Wei Wen;Cong Xu;Feng Yan;Chunpeng Wu.
neural information processing systems (2017)

358 Citations

Memristor Crossbar-Based Neuromorphic Computing System: A Case Study

Miao Hu;Hai Li;Yiran Chen;Qing Wu.
IEEE Transactions on Neural Networks (2014)

262 Citations

Multi retention level STT-RAM cache designs with a dynamic refresh scheme

Zhenyu Sun;Xiuyuan Bi;Hai (Helen) Li;Weng-Fai Wong.
international symposium on microarchitecture (2011)

260 Citations

DRG-cache: a data retention gated-ground cache for low power

Amit Agarwal;Hai Li;Kaushik Roy.
design automation conference (2002)

217 Citations

Emerging non-volatile memories: opportunities and challenges

Chun Jason Xue;Guangyu Sun;Youtao Zhang;J. Joshua Yang.
international conference on hardware/software codesign and system synthesis (2011)

212 Citations

Hardware realization of BSB recall function using memristor crossbar arrays

Miao Hu;Hai Li;Qing Wu;Garrett S. Rose.
design automation conference (2012)

180 Citations

A single-V/sub t/ low-leakage gated-ground cache for deep submicron

A. Agarwal;Hai Li;K. Roy.
IEEE Journal of Solid-state Circuits (2003)

175 Citations

Best Scientists Citing Hai Li

Yiran Chen

Yiran Chen

Duke University

Publications: 124

Kaushik Roy

Kaushik Roy

Purdue University West Lafayette

Publications: 100

Weisheng Zhao

Weisheng Zhao

Beihang University

Publications: 82

Yanzhi Wang

Yanzhi Wang

Northeastern University

Publications: 72

Yuan Xie

Yuan Xie

University of California, Santa Barbara

Publications: 67

Huazhong Yang

Huazhong Yang

Tsinghua University

Publications: 45

Shimeng Yu

Shimeng Yu

Georgia Institute of Technology

Publications: 38

Seung H. Kang

Seung H. Kang

Qualcomm (United Kingdom)

Publications: 36

Jacques-Olivier Klein

Jacques-Olivier Klein

University of Paris-Saclay

Publications: 31

John Paul Strachan

John Paul Strachan

Hewlett-Packard (United States)

Publications: 26

Edwin H.-M. Sha

Edwin H.-M. Sha

East China Normal University

Publications: 25

Guangyu Sun

Guangyu Sun

Peking University

Publications: 25

Anand Raghunathan

Anand Raghunathan

Purdue University West Lafayette

Publications: 23

Yu Cao

Yu Cao

Arizona State University

Publications: 23

Mehdi B. Tahoori

Mehdi B. Tahoori

Karlsruhe Institute of Technology

Publications: 21

Shukai Duan

Shukai Duan

Southwest University

Publications: 20

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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