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Kuan Cheng
Observed name:
Cheng, Kuan
Institution:
Peking University
Observed institution:
Peking University
ORCID:
0000-0002-8972-1749
Observed ORCID:
0000-0002-8972-1749
OpenAlex ID:
A5101366368
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
2024
·
Zhang, Yuan
, Fan, Chun-Kai
, et al.
·
arXiv (Cornell University)
·
300
PDF
FreeKD: Knowledge Distillation via Semantic Frequency Prompt
2024
·
Yuan Zhang
, Tao Huang
, et al.
·
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
·
55
PDF
RoboMIND 2.0: A Multimodal, Bimanual Mobile Manipulation Dataset for Generalizable Embodied Intelligence
2025
·
Hou, Chengkai
, Wu, Kun
, et al.
·
arXiv (Cornell University)
·
51
PDF
Unveiling the Tapestry of Consistency in Large Vision-Language Models
2024
·
Yuan Zhang
, Fei Xiao
, et al.
·
neural information processing systems
·
19
PDF
AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs
2026
·
Yuan Zhang
, Chun-Kai Fan
, et al.
·
Lecture notes in computer science
·
6
PDF
HAF: Adapting Generalist VLAs to Humanoid Whole-Body Loco-manipulation via Hierarchical Action Flow and Spectral Latent RL
2026
·
Gu, Langzhe
, Hou, Chengkai
, et al.
·
arXiv (Cornell University)
·
2
PDF
SEED: Targeted Data Selection by Weighted Independent Set
2026
·
Zhang, Yuan
, Guo, Lifeng
, et al.
·
arXiv (Cornell University)
·
1
PDF
ChainV: Atomic Visual Hints Make Multimodal Reasoning Shorter and Better
2025
·
Zhang, Yuan
, Lu, Ming
, et al.
·
arXiv (Cornell University)
·
1
PDF
HAF-VLA: Hierarchical Action Flow Framework for Humanoid Vision-Language-Action Control
2026
·
Gu, Langzhe
, Hou, Chengkai
, et al.
·
arXiv (Cornell University)
PDF
SparseVLM+: Visual Token Sparsification With Improved Text-Visual Attention Pattern
2026
·
Yuan Zhang
, Junpeng Ma
, et al.
·
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Works count:
10
Citation count:
435
H-index:
5
I10-index:
4
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