D-Index & Metrics Best Publications

D-Index & Metrics 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.

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
Computer Science D-index 63 Citations 17,803 568 World Ranking 1733 National Ranking 948

Research.com Recognitions

Awards & Achievements

2019 - Fellow of the American Statistical Association (ASA)

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer network
  • Gene

Bo Li mainly focuses on Computer network, Artificial intelligence, Distributed computing, Machine learning and Particle physics. Bo Li studied Computer network and The Internet that intersect with Scalability and Multimedia. His Artificial intelligence research is multidisciplinary, incorporating elements of Computer vision and Pattern recognition.

His Distributed computing research includes themes of Scheduling and Cloud computing. His Particle physics research focuses on Lepton and how it connects with Standard Model. His biological study spans a wide range of topics, including Physics beyond the Standard Model, Atlas and Pair production.

His most cited work include:

  • CoolStreaming/DONet: a data-driven overlay network for peer-to-peer live media streaming (1069 citations)
  • The sequence and de novo assembly of the giant panda genome (932 citations)
  • High Performance Visual Tracking with Siamese Region Proposal Network (723 citations)

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

Bo Li mostly deals with Computer network, Artificial intelligence, Composite material, Distributed computing and Internal medicine. The Computer network study combines topics in areas such as Wireless, Throughput and Communication channel. His Artificial intelligence research is multidisciplinary, relying on both Machine learning, Computer vision and Pattern recognition.

The study of Composite material is intertwined with the study of Dielectric in a number of ways.

He most often published in these fields:

  • Computer network (14.32%)
  • Artificial intelligence (13.09%)
  • Composite material (7.48%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (13.09%)
  • Composite material (7.48%)
  • Internal medicine (4.41%)

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

Artificial intelligence, Composite material, Internal medicine, Robustness and Optoelectronics are his primary areas of study. His work deals with themes such as Machine learning and Pattern recognition, which intersect with Artificial intelligence. His study of Microstructure is a part of Composite material.

Bo Li is studying Randomized controlled trial, which is a component of Internal medicine. Robustness is frequently linked to Adversarial system in his study.

Between 2019 and 2021, his most popular works were:

  • First-in-human liver-tumour surgery guided by multispectral fluorescence imaging in the visible and near-infrared-I/II windows. (102 citations)
  • General synthesis of two-dimensional van der Waals heterostructure arrays. (64 citations)
  • Tracking annual changes of coastal tidal flats in China during 1986–2016 through analyses of Landsat images with Google Earth Engine (52 citations)

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

  • Artificial intelligence
  • Gene
  • Computer network

His primary areas of study are Artificial intelligence, Composite material, Chemical engineering, Nanotechnology and Microstructure. His Artificial intelligence study integrates concerns from other disciplines, such as Machine learning and Pattern recognition. Bo Li is interested in Composite number, which is a branch of Composite material.

His Chemical engineering study typically links adjacent topics like Catalysis.

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

High Performance Visual Tracking with Siamese Region Proposal Network

Bo Li;Junjie Yan;Wei Wu;Zheng Zhu.
computer vision and pattern recognition (2018)

1368 Citations

Robust Physical-World Attacks on Deep Learning Visual Classification

Kevin Eykholt;Ivan Evtimov;Earlence Fernandes;Bo Li.
computer vision and pattern recognition (2018)

1085 Citations

Naturalness Preserved Enhancement Algorithm for Non-Uniform Illumination Images

Shuhang Wang;Jin Zheng;Hai-Miao Hu;Bo Li.
IEEE Transactions on Image Processing (2013)

723 Citations

Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

Xinyun Chen;Chang Liu;Bo Li;Kimberly Lu.
arXiv: Cryptography and Security (2017)

715 Citations

Robust Physical-World Attacks on Deep Learning Models

Ivan Evtimov;Kevin Eykholt;Earlence Fernandes;Tadayoshi Kohno.
arXiv: Cryptography and Security (2017)

559 Citations

Depth and surface normal estimation from monocular images using regression on deep features and hierarchical CRFs

Bo Li;Chunhua Shen;Yuchao Dai;Anton van den Hengel.
computer vision and pattern recognition (2015)

498 Citations

Shrinkage tuning parameter selection with a diverging number of parameters

Hansheng Wang;Bo Li;Chenlei Leng.
Journal of The Royal Statistical Society Series B-statistical Methodology (2009)

439 Citations

Curse-of-dimensionality revisited: Collapse of the particle filter in very large scale systems

Thomas Bengtsson;Peter Bickel;Bo Li.
arXiv: Statistics Theory (2008)

429 Citations

Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning

Matthew Jagielski;Alina Oprea;Battista Biggio;Chang Liu.
ieee symposium on security and privacy (2018)

420 Citations

Generating Adversarial Examples with Adversarial Networks

Chaowei Xiao;Bo Li;Jun-yan Zhu;Jun-yan Zhu;Warren He.
international joint conference on artificial intelligence (2018)

396 Citations

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Richard Brenner

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Tord Ekelof

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Mattias Ellert

Mattias Ellert

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