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researcher

Shuai Zheng

13 papers hereh-index 11439 citations32 works total

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

author position
  • first author3
  • middle author10

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.LG8
  • cs.CV3
  • cs.IR1
  • cs.NE1
same name
  • Shuai Zheng — 14 papers, h 9
  • Shuai Zheng — 13 papers, h 20
  • Shuai Zheng — 8 papers, h 9
  • Shuai Zheng — 7 papers, h 6
  • Shuai Zheng — 6 papers, h 7
  • Shuai Zheng — 5 papers, h 8

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
20202026
most citedFlexCare: Leveraging Cross-Task Synergy for Flexible Multimodal Healthcare Prediction

11 citations · 20 across the 11 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CV2026

Decoupling Spherical Reasoning from Dense Prediction for 360 Depth Estimation

Zhijie Shen, Chunyu Lin, Shuai Zheng +4

The equirectangular projection (ERP) is widely used for panoramic depth estimation, but its spatially varying distortion makes geometry-consistent feature modeling challenging. We…

cs.CV2026

SphereSOD: Geometry-Structure Coupled Learning for 360 Salient Object Detection

Junsong Zhang, Zhijie Shen, Shuai Zheng +4

360° salient object detection (SOD) aims to accurately segment salient regions across a full field of view. However, equirectangular projection (ERP) introduces severe spatial dist…

cs.IR2026

Revisiting General Map Search via Generative Point-of-Interest Retrieval

Dong Chen, Shuai Zheng, Haoyang Shao +5

Point-of-Interest (POI) retrieval aims to identify relevant candidates from massive-scale POI databases, serving as a cornerstone for diverse location-based services. However, in g…

cs.LG2026

Towards Effective and Efficient Graph Alignment without Supervision

Songyang Chen, Youfang Lin, Yu Liu +2

Unsupervised graph alignment aims to find the node correspondence across different graphs without any anchor node pairs. Despite the recent efforts utilizing deep learning-based te…

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