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Hao Li

13 papers hereh-index 7326 citations16 works total

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

author position
  • first author3
  • middle author9
  • last author1

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

fields
  • cs.RO10
  • cs.CV2
  • cs.GR1
same name
  • Hao Li — 96 papers, h 61
  • Hao Li — 95 papers, h 89
  • Hao Li — 50 papers, h 37
  • Hao Li — 30 papers, h 10
  • Hao Li — 25 papers, h 10
  • Hao Li — 20 papers, h 10

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 citedSee, Hear, and Feel: Smart Sensory Fusion for Robotic Manipulation

10 citations · 15 across the 12 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CV2026

Efficient Image Synthesis with Sphere Latent Encoder

Tung Do, Thuan Hoang Nguyen, Hao Li

Few-step image generation has seen rapid progress, with consistency and meanflow-based methods significantly reducing the number of sampling steps. Despite their low inference cost…

cs.GR2026

FFAvatar: Few-Shot, Feed-Forward, and Generalizable Avatar Reconstruction

Thuan Hoang Nguyen, Jiahao Luo, Yinyu Nie +3

Avatar reconstruction has traditionally relied on per-subject optimization that requires hours of computation or on expensive preprocessing that limits scalability. We introduce FF…

cs.RO2026

IMPASTO: Integrating Model-Based Planning with Learned Dynamics Models for Robotic Oil Painting Reproduction

Yingke Wang, Hao Li, Yifeng Zhu +6

Robotic reproduction of oil paintings using soft brushes and pigments requires force-sensitive control of deformable tools, prediction of brushstroke effects, and multi-step stroke…

cs.RO2026

UMI-Underwater: Learning Underwater Manipulation without Underwater Teleoperation

Hao Li, Long Yin Chung, Jack Goler +5

Underwater robotic grasping is difficult due to degraded, highly variable imagery and the expense of collecting diverse underwater demonstrations. We introduce a system that (i) au…

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