2019 - Fellow of the American Statistical Association (ASA)
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.
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.
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.
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.
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High Performance Visual Tracking with Siamese Region Proposal Network
Bo Li;Junjie Yan;Wei Wu;Zheng Zhu.
computer vision and pattern recognition (2018)
Robust Physical-World Attacks on Deep Learning Visual Classification
Kevin Eykholt;Ivan Evtimov;Earlence Fernandes;Bo Li.
computer vision and pattern recognition (2018)
Naturalness Preserved Enhancement Algorithm for Non-Uniform Illumination Images
Shuhang Wang;Jin Zheng;Hai-Miao Hu;Bo Li.
IEEE Transactions on Image Processing (2013)
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
Xinyun Chen;Chang Liu;Bo Li;Kimberly Lu.
arXiv: Cryptography and Security (2017)
Robust Physical-World Attacks on Deep Learning Models
Ivan Evtimov;Kevin Eykholt;Earlence Fernandes;Tadayoshi Kohno.
arXiv: Cryptography and Security (2017)
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)
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)
Curse-of-dimensionality revisited: Collapse of the particle filter in very large scale systems
Thomas Bengtsson;Peter Bickel;Bo Li.
arXiv: Statistics Theory (2008)
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)
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)
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