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Hongfei Fu

23 papers hereh-index 17893 citations45 works total

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

author position
  • sole author2
  • first author1
  • middle author17
  • last author3

Across the 23 of 23 papers where every author was matched, so the position is known.

fields
  • cs.PL11
  • cs.LO7
  • eess.SY2
  • cs.CV1
  • cs.DS1
  • cs.FL1
same name
  • Hongfei Fu — 9 papers, h 3
  • Hongfei Fu — 7 papers, h 3
  • Hongfei Fu — 1 paper, h 3
  • Hongfei Fu — 1 paper, h 15

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
20122026
most citedGuided Diffusion Model for Adversarial Purification

27 citations · 62 across the 16 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

cs.FL2017★ 1 cited

Verifying Probabilistic Timed Automata Against Omega-Regular Dense-Time Properties

Hongfei Fu, Yi Li, Jianlin Li +1

Probabilistic timed automata (PTAs) are timed automata (TAs) extended with discrete probability distributions.They serve as a mathematical model for a wide range of applications th…

cs.PL2017

Non-polynomial Worst-Case Analysis of Recursive Programs

Krishnendu Chatterjee, Hongfei Fu, Amir Kafshdar Goharshady

We study the problem of developing efficient approaches for proving worst-case bounds of non-deterministic recursive programs. Ranking functions are sound and complete for proving…

cs.PL2017

Automated Recurrence Analysis for Almost-Linear Expected-Runtime Bounds

Krishnendu Chatterjee, Hongfei Fu, Aniket Murhekar

We consider the problem of developing automated techniques for solving recurrence relations to aid the expected-runtime analysis of programs. Several classical textbook algorithms…

cs.PL2017★ 16 cited

Termination of Nondeterministic Recursive Probabilistic Programs

Krishnendu Chatterjee, Hongfei Fu

We study the termination problem for nondeterministic recursive probabilistic programs. First, we show that a ranking-supermartingales-based approach is both sound and complete for…

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