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researcher

E. Zhang

4 papers hereh-index 221.8k citations317 works total

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

author position
  • sole author1
  • first author1
  • middle author2

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

fields
  • cs.AI1
  • cs.CV1
  • cs.LG1
  • cs.SE1
same name
  • E. Zhang — 15 papers, h 9
  • E. Zhang — 11 papers, h 23
  • E. Zhang — 9 papers, h 12
  • E. Zhang — 7 papers, h 1
  • E. Zhang — 6 papers, h 21
  • E. Zhang — 6 papers, h 37

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
20232026
most citedMGTR: Multi-Granular Transformer for Motion Prediction with LiDAR

1 citations · 1 across the 3 of their papers we have counts for

collaborators

4 papers

cs.AI2026

Uncovering Latent Bias in LLM-Based Emergency Department Triage Through Proxy Variables

Ethan Zhang

Recent advances in large language models (LLMs) have enabled their integration into clinical decision-making; however, hidden biases against patients across racial, social, economi…

cs.SE2025

VeriStruct: AI-assisted Automated Verification of Data-Structure Modules in Verus

Chuyue Sun, Yican Sun, Daneshvar Amrollahi +5

We introduce VeriStruct, a novel framework that extends AI-assisted automated verification from single functions to more complex data structure modules in Verus. VeriStruct employs…

cs.CV2023★ 1 cited

MGTR: Multi-Granular Transformer for Motion Prediction with LiDAR

Yiqian Gan, Hao Xiao, Yizhe Zhao +4

Motion prediction has been an essential component of autonomous driving systems since it handles highly uncertain and complex scenarios involving moving agents of different types.…

cs.LG2023

SAPI: Surroundings-Aware Vehicle Trajectory Prediction at Intersections

Ethan Zhang, Hao Xiao, Yiqian Gan +1

In this work we propose a deep learning model, i.e., SAPI, to predict vehicle trajectories at intersections. SAPI uses an abstract way to represent and encode surrounding environme…

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