Good Papers

Showing papers from The Education University of Hong Kong Show all papers

57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026U OsloAalborgSimulaMetThe Education University of HongU Oslo, Simula Research LaboratoVision-language-action models

Locating and Repairing Domain Shift in VLM Trajectory Planning

Zhihong Cui, Hengyu Liu, Michael A. Riegler, Guandong Xu and 2 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026U Technology SydneyAmazonU Technology SydneyThe Education University of HongRecommender systems

ALIGN-Rec: Continual Recommendation under Heterogeneous Unlearning Requests

Nitin Bisht, Sumit Bisht, Tong Zhang, Yu Yang and 2 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
72%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026The Chinese University of Hong KNational University of Defense TCity University of Hong KongHefei University of TechnologyThe Education University of HongGraph neural networks

DisRFM: Polar Riemannian Flow Matching for Structure-Preserving Graph Domain Adaptation

DisRFM embeds graph representations on constant-curvature manifolds with polar flow matching to prevent structural degeneration and optimization instability, outperforming state-of-the-art graph domain adaptation methods.

Yingxu Wang, Xinwang Liu, Siyang Gao, Mengzhu Wang and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
8/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 8 of 20 reviewers recommend it
lenient 2/5
medium 5/10
strict 1/5