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Han Shu
Observed name:
Shu, Han
Institution:
Huawei Technologies (China)
Observed institutions:
University of Science and Technology of China,
Huawei Technologies (China)
OpenAlex ID:
A5150580108
TinySAM: Pushing the Envelope for Efficient Segment Anything Model
2025
·
Han Shu
, Wenshuo Li
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
51
PDF
Adder Attention for Vision Transformer
2021
·
Han Shu
, Jiahao Wang
, et al.
·
neural information processing systems
·
13
VEGA: Towards an End-to-End Configurable AutoML Pipeline
2020
·
Wang, Bochao
, Xu, Hang
, et al.
·
arXiv (Cornell University)
·
11
PDF
VLM-Pruner: Buffering for Spatial Sparsity in an Efficient VLM Centrifugal Token Pruning Paradigm
2025
·
Wu, Zhenkai
, Ma, Xiaowen
, et al.
·
arXiv (Cornell University)
·
1
PDF
MCPO: Modality-Contrastive Preference Optimization for Multimodal Chain-of-Thought Compression
2026
·
Yang, Guangheng
, Ni, Zhenliang
, et al.
·
arXiv (Cornell University)
PDF
MM-IFEval-Pro: A Multilingual and Attack-Resistant Benchmark for Instruction-Following in Vision-Language Models
2026
·
Xiao, Changming
, Ni, Zhenliang
, et al.
·
arXiv (Cornell University)
PDF
CapProbe: Evaluating Detailed Image Captions via Full-Scene Dense Question Answering
2026
·
Huang, Mouxiao
, Yan, Qiangyu
, et al.
·
arXiv (Cornell University)
PDF
SlimVLM: Sensitivity-aware Dynamic Structured Pruning with Adaptive Visual Token Selection for Efficient Vision-Language Models
2026
·
Wen, Yaozhi
, Guo, Jialong
, et al.
·
arXiv (Cornell University)
PDF
Thinking-while-speaking: A Controlled, Interleaved Reasoning Method for Real-Time Speech Generation
2026
·
Du, Xuan
, Yan, Qiangyu
, et al.
·
arXiv (Cornell University)
PDF
TinySAM 2: Extreme Memory Compression for Efficient Track Anything Model
2026
·
Ding, Zhaoyuan
, Yang, Yijing
, et al.
·
arXiv (Cornell University)
PDF
SJD-PAC: Accelerating Speculative Jacobi Decoding via Proactive Drafting and Adaptive Continuation
2026
·
Kang, Jialiang
, Shu, Han
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
13
Citation count:
77
H-index:
3
I10-index:
3
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