Hong Zhou
15 papers · 2021–2026 · 7 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (37) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🧭 Keyword Pioneer
🗃️
Keyword Collector
(83)
⚡
Prolific Year · Productive
💎
Century Club · Bronze
Top co-authors
Research topics
Computer Vision
(10)
Deep Learning
(10)
Machine Learning
(9)
Application Areas
(7)
Artificial Intelligence
(6)
Core AI · Artificial Intelligence
(6)
Analysis
(5)
Models
(5)
Generation
(4)
Architectures
(3)
Optimization & Theory
(3)
Core AI · Computer Vision
(2)
Learning Types
(2)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Keywords
model compression
(3)
diffusion model
(3)
attention mechanism
(2)
scene understanding
(2)
image generation
(2)
motion forecasting
(2)
semantic segmentation
(2)
parallel decoding
(2)
efficient inference
(2)
trajectory prediction
(1)
point cloud
(1)
knowledge distillation
(1)
vision transformer
(1)
reinforcement learning
(1)
synthetic data generation
(1)
video generation
(1)
instance segmentation
(1)
3d scene understanding
(1)
image synthesis
(1)
domain generalization
(1)
Papers
Android Coach: Improve Online Agentic Training Efficiency with Single State Multiple Actions
ACL 2026
Neighboring Autoregressive Modeling for Efficient Visual Generation
ICCV 2025
ZipAR: Parallel Autoregressive Image Generation through Spatial Locality
ICML 2025
ZipVL: Accelerating Vision-Language Models through Dynamic Token Sparsity
ICCV 2025
EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models
ICLR 2024
Harmonizing Stochasticity and Determinism: Scene-responsive Diverse Human Motion Prediction
NeurIPS 2024
Improving Vision-and-Language Reasoning via Spatial Relations Modeling
WACV 2024
Multimodal Sense-Informed Forecasting of 3D Human Motions
CVPR 2024
ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification
NeurIPS 2024
BiViT: Extremely Compressed Binary Vision Transformers
ICCV 2023
DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models
NeurIPS 2023
DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models
ICCV 2023
PTQD: Accurate Post-Training Quantization for Diffusion Models
NeurIPS 2023
Divide-and-Assemble: Learning Block-Wise Memory for Unsupervised Anomaly Detection
ICCV 2021
GrantRel: Grant Information Extraction via Joint Entity and Relation Extraction
ACL 2021