Yao Zhu
22 papers · 2019–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (51) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Grand Slam
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Keyword Champion
(2)
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Keyword Pioneer
π§¬
Topic Evolution
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
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Renaissance Researcher
(6)
ποΈ
Keyword Collector
(106)
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(17)
Artificial Intelligence
(11)
Deep Learning
(11)
Core AI Β· Artificial Intelligence
(11)
Computer Vision
(10)
Application Areas
(8)
Analysis
(7)
Learning Types Β· Machine Learning
(7)
Models
(6)
Optimization & Theory
(6)
Architectures
(4)
Core Methods
(4)
Learning Types Β· Deep Learning
(3)
Knowledge & Reasoning
(2)
Core AI Β· Computer Vision
(2)
Keywords
adversarial training
(4)
generative model
(3)
diffusion model
(3)
object detection
(3)
image classification
(3)
adversarial robustness
(2)
image generation
(2)
neural network
(2)
adversarial example
(2)
robustness evaluation
(2)
benchmark dataset
(2)
graph neural network
(2)
domain generalization
(2)
model enhancement
(2)
multimodal learning
(2)
vision-language model
(2)
large language model
(2)
knowledge distillation
(1)
text-to-image synthesis
(1)
self-supervised learning
(1)
Papers
Dual-Seed Evolutionary Algorithm for Noise Optimization in Diffusion Models
AAAI 2026
Phantom: Physical Object Interactions as Dynamic Triggers for NMS-Exploited Backdoors
CVPR 2026
Sliding-Window Merging for Compacting Patch-Redundant Layers in LLMs
AAAI 2026
An Efficient Framework for Enhancing Discriminative Models via Diffusion Techniques
AAAI 2025
Bridging the Gap Between Ideal and Real-world Evaluation: Benchmarking AI-Generated Image Detection in Challenging Scenarios
ICCV 2025
Enhanced Event-based Dense Stereo via Cross-Sensor Knowledge Distillation
ICCV 2025
High Dynamic Range Video Compression: A Large-Scale Benchmark Dataset and A Learned Bit-depth Scalable Compression Algorithm
CVPR 2025
Noise Diffusion for Enhancing Semantic Faithfulness in Text-to-Image Synthesis
CVPR 2025
SHIFT: Smoothing Hallucinations by Information Flow Tuning for Multimodal Large Language Models
ICCV 2025
The Case for Learned Provenance-based System Behavior Baseline
ICML 2025
Towards Annotation-Free Evaluation: KPAScore for Human Keypoint Detection
ICCV 2025
Towards Understanding How Knowledge Evolves in Large Vision-Language Models
CVPR 2025
Unleashing the Potential of Large Language Models through Spectral Modulation
EMNLP 2024
COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts
ICCV 2023
ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing
CVPR 2023
Inequality phenomenon in l_β-adversarial training, and its unrealized threats
ICLR 2023
Boosting Out-of-distribution Detection with Typical Features
NeurIPS 2022
Enhance the Visual Representation via Discrete Adversarial Training
NeurIPS 2022
Rethinking Adversarial Transferability from a Data Distribution Perspective
ICLR 2022
Relation-Aware Neighborhood Matching Model for Entity Alignment
AAAI 2021
Towards Understanding the Generative Capability of Adversarially Robust Classifiers
ICCV 2021
Representation Learning with Ordered Relation Paths for Knowledge Graph Completion
EMNLP 2019