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researcher

B. Li

79 papers hereh-index 5917.4k citations987 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author17
  • middle author43
  • last author16

Across the 77 of 79 papers where every author was matched, so the position is known.

fields
  • cs.LG18
  • quant-ph9
  • astro-ph.SR8
  • cs.CV8
  • cs.GT7
  • cs.CL6
same name
  • B. Li — 282 papers
  • B. Li — 100 papers
  • B. Li — 72 papers, h 9
  • B. Li — 69 papers, h 47
  • B. Li — 67 papers
  • B. Li — 49 papers, h 11

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20062023
most citedAdversarial Attack and Defense on Graph Data: A Survey

293 citations · 1.5k across the 77 of their papers we have counts for

collaborators
Showing 2022 · cs.LGShow all

4 papers · 2 filters

cs.LG2022★ 1 cited

Product Ranking for Revenue Maximization with Multiple Purchases

Renzhe Xu, Xingxuan Zhang, Bo Li +3

Product ranking is the core problem for revenue-maximizing online retailers. To design proper product ranking algorithms, various consumer choice models are proposed to characteriz…

cs.LG2022

Game of Trojans: A Submodular Byzantine Approach

Dinuka Sahabandu, Arezoo Rajabi, Luyao Niu +3

Machine learning models in the wild have been shown to be vulnerable to Trojan attacks during training. Although many detection mechanisms have been proposed, strong adaptive attac…

cs.LG2022

How to Steer Your Adversary: Targeted and Efficient Model Stealing Defenses with Gradient Redirection

Mantas Mazeika, Bo Li, David Forsyth

Model stealing attacks present a dilemma for public machine learning APIs. To protect financial investments, companies may be forced to withhold important information about their m…

cs.LG2022★ 1 cited

Enhancing Distributional Stability among Sub-populations

Jiashuo Liu, Jiayun Wu, Jie Peng +4

Enhancing the stability of machine learning algorithms under distributional shifts is at the heart of the Out-of-Distribution (OOD) Generalization problem. Derived from causal lear…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.