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Han Li

4 papers hereh-index 334 citations10 works total

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

author position
  • middle author4

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

fields
  • cs.CV3
  • cs.LG1
same name
  • Han Li — 21 papers, h 3
  • Han Li — 16 papers, h 12
  • Han Li — 15 papers, h 3
  • Han Li — 12 papers, h 9
  • Han Li — 12 papers, h 8
  • Han Li — 12 papers, h 2

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 citedDNN Training Acceleration via Exploring GPGPU Friendly Sparsity

1 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2026

Utonia: Toward One Encoder for All Point Clouds

Yujia Zhang, Xiaoyang Wu, Yunhan Yang +6

We dream of a future where point clouds from all domains can come together to shape a single model that benefits them all. Toward this goal, we present Utonia, a first step toward…

cs.CV2023★ 1 cited

LEST: Large-scale LiDAR Semantic Segmentation with Transformer

Chuanyu Luo, Nuo Cheng, Sikun Ma +4

Large-scale LiDAR-based point cloud semantic segmentation is a critical task in autonomous driving perception. Almost all of the previous state-of-the-art LiDAR semantic segmentati…

cs.LG2022★ 1 cited

DNN Training Acceleration via Exploring GPGPU Friendly Sparsity

Zhuoran Song, Yihong Xu, Han Li +3

The training phases of Deep neural network~(DNN) consumes enormous processing time and energy. Compression techniques utilizing the sparsity of DNNs can effectively accelerate the…

cs.CV2022

MVP-Net: Multiple View Pointwise Semantic Segmentation of Large-Scale Point Clouds

Chuanyu Luo, Xiaohan Li, Nuo Cheng +3

Semantic segmentation of 3D point cloud is an essential task for autonomous driving environment perception. The pipeline of most pointwise point cloud semantic segmentation methods…

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