Zhiyu Zhu
20 papers · 2021–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (40) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Triple Crown
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Grand Slam
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(12)
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Topic Evolution
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Unstoppable Β· Bronze
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Century Club Β· Bronze
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Keyword Collector
(103)
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Prolific Year Β· Productive
Top co-authors
Research topics
Deep Learning
(15)
Machine Learning
(10)
Artificial Intelligence
(9)
Computer Vision
(8)
Core AI
(8)
Models
(8)
Analysis
(6)
Application Areas
(4)
Architectures
(4)
Learning Types Β· Machine Learning
(4)
Core Methods
(3)
Generation
(3)
Learning Types Β· Deep Learning
(3)
Processing
(3)
Optimization & Theory
(2)
Keywords
diffusion model
(5)
event camera
(3)
knowledge distillation
(2)
model interpretability
(2)
3d reconstruction
(2)
vision transformer
(2)
attribution method
(2)
reinforcement learning
(2)
object tracking
(2)
decision boundary
(2)
unsupervised learning
(2)
point cloud
(1)
adversarial learning
(1)
cross-modal learning
(1)
motion estimation
(1)
deep learning
(1)
interpretability
(1)
feature embedding
(1)
information bottleneck
(1)
3d vision
(1)
Papers
Optimal Look-back Horizon for Time Series Forecasting in Federated Learning
AAAI 2026
Scaling Dense Event-Stream Pretraining from Visual Foundation Models
CVPR 2026
Acc3D: Accelerating Single Image to 3D Diffusion Models via Edge Consistency Guided Score Distillation
CVPR 2025
Improving Adversarial Transferability via Decision Boundary Adaptation
UAI 2025
Narrowing Information Bottleneck Theory for Multimodal Image-Text Representations Interpretability
ICLR 2025
NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer
ICLR 2025
ParaSolver: A Hierarchical Parallel Integral Solver for Diffusion Models
ICLR 2025
Splitting & Integrating: Out-of-Distribution Detection via Adversarial Gradient Attribution
ICML 2025
AttEXplore: Attribution for Explanation with model parameters eXploration
ICLR 2024
E-Motion: Future Motion Simulation via Event Sequence Diffusion
NeurIPS 2024
Enhancing Transferable Adversarial Attacks on Vision Transformers through Gradient Normalization Scaling and High-Frequency Adaptation
ICLR 2024
Iterative Search Attribution for Deep Neural Networks
ICML 2024
MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks
AAAI 2024
PrefPaint: Aligning Image Inpainting Diffusion Model with Human Preference
NeurIPS 2024
Segment Any Event Streams via Weighted Adaptation of Pivotal Tokens
CVPR 2024
Cross-Modal Orthogonal High-Rank Augmentation for RGB-Event Transformer-Trackers
ICCV 2023
Global Structure-Aware Diffusion Process for Low-light Image Enhancement
NeurIPS 2023
Learning Graph-embedded Key-event Back-tracing for Object Tracking in Event Clouds
NeurIPS 2022
CorrNet3D: Unsupervised End-to-End Learning of Dense Correspondence for 3D Point Clouds
CVPR 2021
Semantic-Embedded Unsupervised Spectral Reconstruction From Single RGB Images in the Wild
ICCV 2021