◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Shixiang Tang

8 papers hereh-index 326 citations7 works total

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

author position
  • middle author5
  • last author1

Across the 6 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.AI2
  • cs.RO2
same name
  • Shixiang Tang — 30 papers, h 10
  • Shixiang Tang — 26 papers, h 24
  • Shixiang Tang — 11 papers, h 3
  • Shixiang Tang — 8 papers, h 3
  • Shixiang Tang — 4 papers, h 2
  • Shixiang Tang — 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

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

LabBuilder: Protocol-Grounded 3D Layout Generation for Interactable and Safe Laboratory

Jianbao Cao, Zhangrui Zhao, Bohan Feng +15

Automated laboratories hold the promise of accelerating scientific discovery, yet their deployment is bottlenecked by the difficulty of designing safe and executable environments.…

cs.CV2025

Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts

Zixuan Hu, Dongxiao Li, Xinzhu Ma +4

Accurate monocular 3D object detection (M3OD) is pivotal for safety-critical applications like autonomous driving, yet its reliability deteriorates significantly under real-world d…

cs.CV2025

LEAD: Exploring Logit Space Evolution for Model Selection

Zixuan Hu, Xiaotong Li, Shixiang Tang +3

The remarkable success of pretrain-then-finetune paradigm has led to a proliferation of available pre-trained models for vision tasks. This surge presents a significant challenge i…

cs.CV2025

Beyond Entropy: Region Confidence Proxy for Wild Test-Time Adaptation

Zixuan Hu, Yichun Hu, Xiaotong Li +2

Wild Test-Time Adaptation (WTTA) is proposed to adapt a source model to unseen domains under extreme data scarcity and multiple shifts. Previous approaches mainly focused on sample…

◍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.