Han Shu
11 papers · 2019–2026 · 7 venues · across top CS/AI venues
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Achievements
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Research topics
Deep Learning
(8)
Machine Learning
(7)
Computer Vision
(6)
Optimization & Theory
(6)
Application Areas
(5)
Artificial Intelligence
(4)
Core AI Β· Artificial Intelligence
(4)
Architectures
(3)
Models
(3)
Core AI Β· Computer Vision
(2)
Generation
(2)
Learning Types
(2)
Processing
(2)
Analysis
(1)
Core Methods
(1)
Keywords
model compression
(3)
efficient computing
(2)
knowledge distillation
(2)
image translation
(2)
generative adversarial network
(2)
vision-language model
(2)
vision transformer
(1)
adversarial learning
(1)
reinforcement learning
(1)
autoregressive generation
(1)
evolutionary algorithm
(1)
visual grounding
(1)
efficient inference
(1)
neural network optimization
(1)
image segmentation
(1)
text-to-image synthesis
(1)
convolutional neural network
(1)
attention mechanism
(1)
zero-shot learning
(1)
model quantization
(1)
Papers
SJD-PAC: Accelerating Speculative Jacobi Decoding via Proactive Drafting and Adaptive Continuation
CVPR 2026
VES-RFT: Rewarding Visual Evidence Sensitivity to Mitigate Hallucinations in Large Vision-Language Models
CVPR 2026
VLM-Pruner: Buffering for Spatial Sparsity in an Efficient VLM Centrifugal Token Pruning Paradigm
CVPR 2026
TinySAM: Pushing the Envelope for Efficient Segment Anything Model
AAAI 2025
ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking
ICML 2024
Adder Attention for Vision Transformer
NeurIPS 2021
Distilling Portable Generative Adversarial Networks for Image Translation
AAAI 2020
Frequency Domain Compact 3D Convolutional Neural Networks
CVPR 2020
Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer
ECCV 2020
Attribute Aware Pooling for Pedestrian Attribute Recognition
IJCAI 2019
Co-Evolutionary Compression for Unpaired Image Translation
ICCV 2019