Ning Yu
41 papers · 2011–2026 · 14 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (14) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (13) π Cross-Pollinator (12)
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Cross-Pollinator
(12)
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Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(66)
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Grand Slam
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Topic Evolution
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The Questioner
β‘
Prolific Year
(8)
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Keyword Collector
(142)
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Century Club
(39)
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Unstoppable
(7)
Conferences
CVPR (10)
ICCV (5)
ECCV (4)
ICLR (3)
ICML (3)
IJCAI (3)
NIPS (3)
AAAI (2)
NAACL (2)
WACV (2)
COLING (1)
CONLL (1)
EACL (1)
EMNLP (1)
Top co-authors
Keywords
generative model
(7)
diffusion model
(6)
generative adversarial network
(5)
image generation
(5)
representation learning
(4)
large language model
(3)
latent space
(3)
controllable generation
(3)
deepfake detection
(3)
contrastive learning
(2)
video diffusion
(2)
foundation model
(2)
vision-language model
(2)
adversarial attack
(2)
video generation
(2)
texture synthesis
(2)
text classification
(1)
computer vision
(1)
binary classification
(1)
domain generalization
(1)
Papers
EMODIS: A Benchmark for Context-Dependent Emoji Disambiguation in Large Language Models
AAAI 2026
MAViS: A Multi-Agent Framework for Long-Sequence Video Storytelling
EACL 2026
Reference-Based 3D-Aware Image Editing with Triplanes
CVPR 2025
Lux Post Facto: Learning Portrait Performance Relighting with Conditional Video Diffusion and a Hybrid Dataset
CVPR 2025
Detecting Adversarial Data Using Perturbation Forgery
CVPR 2025
DREAM: Improving Video-Text Retrieval Through Relevance-Based Augmentation Using Large Foundation Models
NAACL 2025
Infinite-Resolution Integral Noise Warping for Diffusion Models
ICLR 2025
FlashDepth: Real-time Streaming Video Depth Estimation at 2K Resolution
ICCV 2025
Leidos at GenAI Detection Task 3: A Weight-Balanced Transformer Approach for AI Generated Text Detection Across Domains
COLING 2025
Text2Data: Low-Resource Data Generation with Textual Control
AAAI 2025
Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped Noise
CVPR 2025
SimSCOOD: Systematic Analysis of Out-of-Distribution Generalization in Fine-tuned Source Code Models
NAACL 2024
Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models
NIPS 2024
T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition
NIPS 2024
ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding
CVPR 2024
HIVE: Harnessing Human Feedback for Instructional Visual Editing
CVPR 2024
LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer
ECCV 2024
"X-InstructBLIP: A Framework for Aligning Image, 3D, Audio, Video to LLMs and its Emergent Cross-modal Reasoning"
ECCV 2024
FASTTRACK: Reliable Fact Tracing via Clustering and LLM-Powered Evidence Validation
EMNLP 2024
C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models
ICML 2024
RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content
ICML 2024
Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models
WACV 2024
Learning Prototype Classifiers for Long-Tailed Recognition
IJCAI 2023
Detecting Adversarial Faces Using Only Real Face Self-Perturbations
IJCAI 2023
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild
NIPS 2023
Keys To Better Image Inpainting: Structure and Texture Go Hand in Hand
WACV 2023
GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation
ICCV 2023
Mask-Free OVIS: Open-Vocabulary Instance Segmentation Without Manual Mask Annotations
CVPR 2023
Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders
CVPR 2023
Generated Graph Detection
ICML 2023
RepMix: Representation Mixing for Robust Attribution of Synthesized Images
ECCV 2022
Responsible Disclosure of Generative Models Using Scalable Fingerprinting
ICLR 2022
RelaxLoss: Defending Membership Inference Attacks without Losing Utility
ICLR 2022
Dual Contrastive Loss and Attention for GANs
ICCV 2021
Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs
CVPR 2021
Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data
ICCV 2021
Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis
IJCAI 2021
Inclusive GAN: Improving Data and Minority Coverage in Generative Models
ECCV 2020
Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints
ICCV 2019
Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture
CVPR 2019
Filling the Gap: Semi-Supervised Learning for Opinion Detection Across Domains
CONLL 2011