Yefei He
12 papers · 2023–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (12) π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (25)
π
Conference Polyglot
(6)
π
Grand Slam
π
Century Club
(11)
ποΈ
Keyword Collector
(55)
Conferences
NIPS (4)
ICCV (3)
AAAI (1)
CVPR (1)
ECCV (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
model compression
(3)
key-value cache
(2)
large language model
(2)
efficient inference
(2)
attention mechanism
(2)
multimodal large language model
(2)
domain generalization
(1)
image generation
(1)
semantic segmentation
(1)
token selection
(1)
instance segmentation
(1)
knowledge distillation
(1)
synthetic data generation
(1)
signal-to-noise ratio
(1)
vision transformer
(1)
vision-language model
(1)
autoregressive model
(1)
diffusion model
(1)
memory optimization
(1)
video generation
(1)
Papers
OmniSparse: Training-Aware Fine-Grained Sparse Attention for Long-Video MLLMs
AAAI 2026
ZipAR: Parallel Autoregressive Image Generation through Spatial Locality
ICML 2025
Neighboring Autoregressive Modeling for Efficient Visual Generation
ICCV 2025
OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text Generation
CVPR 2025
ZipVL: Accelerating Vision-Language Models through Dynamic Token Sparsity
ICCV 2025
Drag Anything: Motion Control for Anything using Entity Representation
ECCV 2024
ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification
NIPS 2024
MiniCache: KV Cache Compression in Depth Dimension for Large Language Models
NIPS 2024
EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models
ICLR 2024
BiViT: Extremely Compressed Binary Vision Transformers
ICCV 2023
DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models
NIPS 2023
PTQD: Accurate Post-Training Quantization for Diffusion Models
NIPS 2023