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researcher

Hang Zhao

16 papers hereh-index 111.2k citations18 works total

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

author position
  • middle author5
  • last author11

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CV11
  • cs.RO4
  • cs.AI1
same name
  • Hang Zhao — 31 papers, h 32
  • Hang Zhao — 24 papers, h 15
  • Hang Zhao — 10 papers, h 4
  • Hang Zhao — 9 papers, h 5
  • Hang Zhao — 9 papers, h 5
  • Hang Zhao — 9 papers, h 6

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
20222026
most citedOcc3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving

55 citations · 84 across the 16 of their papers we have counts for

collaborators
Showing cs.ROShow all

4 papers · 1 filter

cs.RO2026

Agent-driven Long-tail Simulation for Autonomous Driving

Junru Gu, Lijin Yang, Jianing Huang +3

Evaluating autonomous driving systems in closed-loop settings requires realistic and interactive simulation, yet existing simulators largely rely on log replay or rule-based agents…

cs.RO2023★ 3 cited

A Universal Semantic-Geometric Representation for Robotic Manipulation

Tong Zhang, Yingdong Hu, Hanchen Cui +2

Robots rely heavily on sensors, especially RGB and depth cameras, to perceive and interact with the world. RGB cameras record 2D images with rich semantic information while missing…

cs.RO2022★ 1 cited

P4P: Conflict-Aware Motion Prediction for Planning in Autonomous Driving

Qiao Sun, Xin Huang, Brian C. Williams +1

Motion prediction is crucial in enabling safe motion planning for autonomous vehicles in interactive scenarios. It allows the planner to identify potential conflicts with other tra…

cs.RO2022

InterSim: Interactive Traffic Simulation via Explicit Relation Modeling

Qiao Sun, Xin Huang, Brian C. Williams +1

Interactive traffic simulation is crucial to autonomous driving systems by enabling testing for planners in a more scalable and safe way compared to real-world road testing. Existi…

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