Bo Li - Concepedia

Author

Bo Li

University of Illinois Urbana-Champaign ORCID

Also Known As

BO LI, Bo Li, Li, Bo

Publications

1.5K

Citations

H-Index

Concepts

All Affiliations

University of Illinois Urbana-Champaign University of Chicago Google (United States)Peking University University of California, Berkeley

About

Bo Li is an author at University of Illinois Urbana-Champaign specializing in engineering, computer science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	14	15	1.3K
2	Language Studies	3	3	315
3	Health Sciences	1	1	13
4	Natural Sciences	1	1	18
5	Computer Engineering	1	1	57

Bo Li

Publications

1.4K

Citations

H-Index

Page 1

	Year	Citations
Generating Adversarial Examples with Adversarial Networks Chaowei Xiao, Bo Li, Jun-Yan Zhu, arXiv (Cornell University) Artificial IntelligenceHardware SecurityAdversarial ExamplesDeep Neural NetworksEngineering	2018	238
Multilingual Speech Recognition with a Single End-to-End Model Shubham Toshniwal, Tara N. Sainath, Ron J. Weiss, EngineeringMachine LearningSpoken Language ProcessingMultilingual PretrainingCorpus Linguistics	2018	220
Robust Physical-World Attacks on Machine Learning Models. Ivan Evtimov, Kevin Eykholt, Earlence Fernandes, arXiv (Cornell University) Convolutional Neural NetworkEngineeringMachine LearningAi SafetyRobustness (Computer Science)	2017	197
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning Matthew Jagielski, Alina Oprea, Battista Biggio, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningAi SafetyData Science	2018	113
SoK: Certified Robustness for Deep Neural Networks Linyi Li, Tao Xie, Bo Li Artificial IntelligenceDeep Neural NetworksEngineeringMachine LearningData Science	2023	104
RAB: Provable Robustness Against Backdoor Attacks Maurice Weber, Xiaojun Xu, Bojan Karlaš, EngineeringMachine LearningInformation SecurityRobustness (Computer Science)Information Forensics	2023	77
Unrestricted Adversarial Examples via Semantic Manipulation Anand Bhattad, Min Jin Chong, Kaizhao Liang, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningMachine Learning ModelsImage Analysis	2019	72
Modeling Time-Frequency Patterns with LSTM vs. Convolutional Architectures for LVCSR Tasks Tara N. Sainath, Bo Li Sequence ModellingEngineeringMachine LearningPattern RecognitionTime-frequency Patterns	2016	57
Scaling End-to-End Models for Large-Scale Multilingual ASR Bo Li, Ruoming Pang, Tara N. Sainath, 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) Llm Fine-tuningEngineeringMachine LearningLow Resource LanguagesMultilingual Pretraining	2021	50
Towards Trustworthy Large Language Models Bo Li EngineeringMultilingualismVerificationMultilingual PretrainingLarge Language Model	2024	45

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