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researcher

Ivor W.Tsang

4 papers hereh-index 254 citations4 works total

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

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.CV1
  • math.OC1

identity via Semantic Scholar / OpenAlex

most citedOn the Robustness of Segment Anything

7 citations · 8 across the 4 of their papers we have counts for

collaborators

4 papers

math.OC2023★ 1 cited

Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold

Jun Chen, Haishan Ye, Mengmeng Wang +4

The conjugate gradient method is a crucial first-order optimization method that generally converges faster than the steepest descent method, and its computational cost is much lowe…

cs.CV2023★ 7 cited

On the Robustness of Segment Anything

Yihao Huang, Yue Cao, Tianlin Li +5

Segment anything model (SAM) has presented impressive objectness identification capability with the idea of prompt learning and a new collected large-scale dataset. Given a prompt…

cs.LG2023

Adversary-Aware Partial label learning with Label distillation

Cheng Chen, Yueming Lyu, Ivor W. Tsang

To ensure that the data collected from human subjects is entrusted with a secret, rival labels are introduced to conceal the information provided by the participants on purpose. Th…

cs.LG2023

Policy Dispersion in Non-Markovian Environment

Bohao Qu, Xiaofeng Cao, Jielong Yang +4

Markov Decision Process (MDP) presents a mathematical framework to formulate the learning processes of agents in reinforcement learning. MDP is limited by the Markovian assumption…

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