◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Yanan Sui

20 papers hereh-index 182k citations38 works total

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

author position
  • first author4
  • middle author9
  • last author6

Across the 19 of 20 papers where every author was matched, so the position is known.

fields
  • cs.LG12
  • cs.CV2
  • cs.RO2
  • cs.CL1
  • cs.HC1
  • eess.AS1
same name
  • Yanan Sui — 20 papers, h 7
  • Yanan Sui — 1 paper

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
20172026
most citedDeepfakes for Medical Video De-Identification: Privacy Protection and Diagnostic Information Preservation

65 citations · 251 across the 19 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

stat.ML2017

Quantifying Performance of Bipedal Standing with Multi-channel EMG

Yanan Sui, Kun ho Kim, Joel W. Burdick

Spinal cord stimulation has enabled humans with motor complete spinal cord injury (SCI) to independently stand and recover some lost autonomic function. Quantifying the quality of…

cs.LG2017★ 2 cited

Bellman Gradient Iteration for Inverse Reinforcement Learning

Kun Li, Yanan Sui, Joel W. Burdick

This paper develops an inverse reinforcement learning algorithm aimed at recovering a reward function from the observed actions of an agent. We introduce a strategy to flexibly han…

cs.LG2017★ 6 cited

Correlational Dueling Bandits with Application to Clinical Treatment in Large Decision Spaces

Yanan Sui, Yisong Yue, Joel W. Burdick

We consider sequential decision making under uncertainty, where the goal is to optimize over a large decision space using noisy comparative feedback. This problem can be formulated…

cs.LG2017★ 3 cited

Multi-dueling Bandits with Dependent Arms

Yanan Sui, Vincent Zhuang, Joel W. Burdick +1

The dueling bandits problem is an online learning framework for learning from pairwise preference feedback, and is particularly well-suited for modeling settings that elicit subjec…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.