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Weiran Huang

26 papers hereh-index 10348 citations33 works total

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

author position
  • middle author15
  • last author10

Across the 25 of 26 papers where every author was matched, so the position is known.

fields
  • cs.CV9
  • cs.LG9
  • cs.AI4
  • cs.CL4
same name
  • Weiran Huang — 40 papers, h 19
  • Weiran Huang — 1 paper
  • Weiran Huang — 1 paper
  • Weiran Huang — 1 paper, h 7

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
20192026
most citedShould Graph Convolution Trust Neighbors? A Simple Causal Inference Method

66 citations · 132 across the 26 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2026

Evidence-Grounded AI for Musculoskeletal Care

Wenjie Li, Yujie Zhang, Fanrui Zhang +34

Musculoskeletal diseases are among the leading causes of disability and drive the greatest global need for rehabilitation. Because recovery, remodelling and degeneration of bones,…

cs.AI2026

Targeted Exploration via Unified Entropy Control for Reinforcement Learning

Chen Wang, Lai Wei, Yanzhi Zhang +5

Recent advances in reinforcement learning (RL) have improved the reasoning capabilities of large language models (LLMs) and vision-language models (VLMs). However, the widely used…

cs.AI2026

Camyla: Scaling Autonomous Research in Medical Image Segmentation

Yifan Gao, Haoyue Li, Feng Yuan +3

We present Camyla, a system for fully autonomous research within the scientific domain of medical image segmentation. Camyla transforms raw datasets into literature-grounded resear…

cs.AI2025

RADAR: A Risk-Aware Dynamic Multi-Agent Framework for LLM Safety Evaluation via Role-Specialized Collaboration

Xiuyuan Chen, Jian Zhao, Yuchen Yuan +8

Existing safety evaluation methods for large language models (LLMs) suffer from inherent limitations, including evaluator bias and detection failures arising from model homogeneity…

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