Kai Hu
25 papers · 2020–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (59) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Triple Crown
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Grand Slam
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Prolific Year Β· Productive
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Renaissance Researcher
(6)
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Century Club Β· Bronze
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The Questioner
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Keyword Collector
(149)
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Deep Learning
(19)
Machine Learning
(18)
Computer Vision
(15)
Learning Types Β· Machine Learning
(10)
Artificial Intelligence
(9)
Learning Types Β· Deep Learning
(8)
Core AI
(7)
Analysis
(6)
Architectures
(6)
Optimization & Theory
(6)
Processing
(6)
Application Areas
(5)
Models
(5)
Natural Language Processing
(4)
Core Methods
(4)
Keywords
self-supervised learning
(4)
semantic segmentation
(4)
diffusion model
(3)
contrastive learning
(3)
adversarial robustness
(2)
video understanding
(2)
question answering
(2)
multimodal large language model
(2)
large language model
(2)
jailbreak attack
(2)
adversarial attack
(2)
image generation
(2)
knowledge distillation
(2)
object detection
(2)
data augmentation
(2)
endoscopic video analysis
(2)
style transfer
(1)
image restoration
(1)
transformer architecture
(1)
action recognition
(1)
Papers
Focus-to-Perceive Representation Learning: A Cognition-Inspired Hierarchical Framework for Endoscopic Video Analysis
CVPR 2026
Jailbreak-Zero: A Path to Pareto Optimal Red Teaming for Large Language Models
ACL 2026
Omni-Attack: Adversarial Attacks on Open-Ended VQA in Black-Box Multimodal LLMs
CVPR 2026
One-to-All Animation: Alignment-Free Character Animation and Image Pose Transfer
CVPR 2026
SSR-SAM: Retrieval-Style Segment Anything Model for Semi-Supervised Ultra-High-Resolution Image Segmentation
AAAI 2026
Distilling Knowledge from Heterogeneous Architectures for Semantic Segmentation
AAAI 2025
Explicit Relational Reasoning Network for Scene Text Detection
AAAI 2025
Learning Graph Invariance by Harnessing Spuriosity
ICLR 2025
MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space
ACL 2025
M-LLM Based Video Frame Selection for Efficient Video Understanding
CVPR 2025
Self-supervised ControlNet with Spatio-Temporal Mamba for Real-world Video Super-resolution
CVPR 2025
A Recipe for Improved Certifiable Robustness
ICLR 2024
Completing Visual Objects via Bridging Generation and Segmentation
ICML 2024
Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization
NeurIPS 2024
Empowering Graph Invariance Learning with Deep Spurious Infomax
ICML 2024
Multi-view Masked Contrastive Representation Learning for Endoscopic Video Analysis
NeurIPS 2024
One-to-Multiple: A Progressive Style Transfer Unsupervised Domain-Adaptive Framework for Kidney Tumor Segmentation
NeurIPS 2024
Slight Corruption in Pre-training Data Makes Better Diffusion Models
NeurIPS 2024
A Question-Answering Approach to Key Value Pair Extraction from Form-Like Document Images
AAAI 2023
Enhanced Training of Query-Based Object Detection via Selective Query Recollection
CVPR 2023
Unlocking Deterministic Robustness Certification on ImageNet
NeurIPS 2023
Text to Image Generation With Semantic-Spatial Aware GAN
CVPR 2022
The VolcTrans System for WMT22 Multilingual Machine Translation Task
EMNLP 2022
Contrast and Order Representations for Video Self-Supervised Learning
ICCV 2021
Is normalization indispensable for training deep neural network?
NeurIPS 2020