Zhaoyang Zhang
21 papers · 2019–2026 · 8 venues · across top CS/AI venues
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Research topics
Deep Learning
(14)
Artificial Intelligence
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Computer Vision
(10)
Machine Learning
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Core AI
(9)
Models
(8)
Architectures
(6)
Generation
(6)
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Learning Types Β· Deep Learning
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Learning Types Β· Machine Learning
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Domain-Specific
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Optimization & Theory
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Keywords
diffusion model
(6)
video generation
(4)
diffusion transformer
(3)
reinforcement learning
(2)
motion control
(2)
convolutional neural network
(2)
model compression
(2)
weight quantization
(2)
neural network
(2)
object detection
(1)
image editing
(1)
multimodal learning
(1)
adversarial training
(1)
flow matching
(1)
vision transformer
(1)
model quantization
(1)
language modeling
(1)
image denoising
(1)
video synthesis
(1)
speaker verification
(1)
Papers
AdvFM: Lookahead Flow-Matching Velocity-Field Attacks for Imperceptible and Transferable Adversarial Examples
CVPR 2026
Asking like Socrates: Socrates helps VLMs understand remote sensing images
CVPR 2026
CubeComposer: Spatio-Temporal Autoregressive 4K 360deg Video Generation from Perspective Video
CVPR 2026
Talk2Move: Reinforcement Learning for Text-Instructed Object-Level Geometric Transformation in Scenes
CVPR 2026
DiTCtrl: Exploring Attention Control in Multi-Modal Diffusion Transformer for Tuning-Free Multi-Prompt Longer Video Generation
CVPR 2025
Image Conductor: Precision Control for Interactive Video Synthesis
AAAI 2025
MotionCraft: Crafting Whole-Body Motion with Plug-and-Play Multimodal Controls
AAAI 2025
NVComposer: Boosting Generative Novel View Synthesis with Multiple Sparse and Unposed Images
CVPR 2025
AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusion
ECCV 2024
Cached Transformers: Improving Transformers with Differentiable Memory Cachde
AAAI 2024
MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions
NeurIPS 2024
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models
ICLR 2024
ReVideo: Remake a Video with Motion and Content Control
NeurIPS 2024
Breaking the Communication-Privacy-Accuracy Tradeoff with f-Differential Privacy
NeurIPS 2023
Model Compression for DNN-based Speaker Verification Using Weight Quantization
Interspeech 2023
Real-Time Controllable Denoising for Image and Video
CVPR 2023
Dynamic Token Normalization improves Vision Transformers
ICLR 2022
Not All Models Are Equal: Predicting Model Transferability in a Self-Challenging Fisher Space
ECCV 2022
Differentiable Dynamic Quantization with Mixed Precision and Adaptive Resolution
ICML 2021
STAR: A Structure-Aware Lightweight Transformer for Real-Time Image Enhancement
ICCV 2021
Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks
ICCV 2019