Kaizhu Huang
38 papers · 2004–2026 · 14 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (13) π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π Academic Marathon (22)
πΊοΈ
Taxonomy Completionist
(10)
π§
Keyword Pioneer
π
Academic Marathon
(22)
π
Grand Slam
π€
Dynamic Duo
(16)
π
Keyword Champion
π₯
Unstoppable
(8)
π
Trend Setter
β‘
Prolific Year
(5)
β
The Questioner
(2)
ποΈ
Keyword Collector
(182)
π
Century Club
(36)
Conferences
AAAI (10)
CVPR (4)
ICCV (4)
ACL (3)
ECCV (3)
NIPS (3)
ICLR (2)
NAACL (2)
WACV (2)
EACL (1)
EMNLP (1)
ICML (1)
JMLR (1)
SEMEVAL (1)
Top co-authors
Keywords
data augmentation
(5)
domain generalization
(4)
math word problem
(3)
multi-task learning
(3)
large language model
(2)
semantic perturbation
(2)
adversarial attack
(2)
tabular datum
(2)
numerical reasoning
(2)
domain shift
(2)
attention mechanism
(2)
feature learning
(2)
adversarial robustness
(2)
few-shot learning
(2)
semantic segmentation
(2)
feature extraction
(2)
adversarial training
(2)
domain adaptation
(2)
zero-shot learning
(1)
catastrophic forgetting
(1)
Papers
Unraveling LLM Jailbreaks Through Safety Knowledge Neurons
EACL 2026
Logic Matters in Lightweight Hallucination Classification for RAG System
ACL 2026
Rethinking Real Image Editing: Unleashing Diverse Editing Operators via Multi-Objective Optimization
WACV 2026
PO3AD: Predicting Point Offsets toward Better 3D Point Cloud Anomaly Detection
CVPR 2025
Covariance-Based Space Regularization for Few-Shot Class Incremental Learning
WACV 2025
Towards Better Robustness Against Natural Corruptions in Document Tampering Localization
AAAI 2025
Disentangling Tabular Data Towards Better One-Class Anomaly Detection
AAAI 2025
Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation
AAAI 2025
GNS: Solving Plane Geometry Problems by Neural-Symbolic Reasoning with Multi-Modal LLMs
AAAI 2025
BFANet: Revisiting 3D Semantic Segmentation with Boundary Feature Analysis
CVPR 2025
KMD: Koopman Multi-modality Decomposition for Generalized Brain Tumor Segmentation under Incomplete Modalities
CVPR 2025
Can GRPO Boost Complex Multimodal Table Understanding?
EMNLP 2025
Towards a Universal 3D Medical Multi-modality Generalization via Learning Personalized Invariant Representation
ICCV 2025
Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist
ICLR 2025
ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning
ICLR 2025
Rethinking Multi-domain Generalization with A General Learning Objective
CVPR 2024
DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness
NAACL 2024
Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification
NIPS 2024
Delving into Adversarial Robustness on Document Tampering Localization
ECCV 2024
Semantic-Aware Data Augmentation for Text-to-Image Synthesis
AAAI 2024
Unraveling Batch Normalization for Realistic Test-Time Adaptation
AAAI 2024
MathAttack: Attacking Large Language Models towards Math Solving Ability
AAAI 2024
DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness
SEMEVAL 2024
Towards Better Robustness against Common Corruptions for Unsupervised Domain Adaptation
ICCV 2023
Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization
ICCV 2023
Prompt-based Zero-shot Text Classification with Conceptual Knowledge
ACL 2023
Learning by Analogy: Diverse Questions Generation in Math Word Problem
ACL 2023
Rethinking Data Augmentation for Single-Source Domain Generalization in Medical Image Segmentation
AAAI 2023
Outpainting by Queries
ECCV 2022
Gradient Distribution Alignment Certificates Better Adversarial Domain Adaptation
ICCV 2021
Towards Better Robust Generalization with Shift Consistency Regularization
ICML 2021
Global-aware Beam Search for Neural Abstractive Summarization
NIPS 2021
Feature Representation Matters: End-to-End Learning for Reference-based Image Super-resolution
ECCV 2020
Towards Better Forecasting by Fusing Near and Distant Future Visions
AAAI 2020
Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach
AAAI 2020
Joint Multi-Label Attention Networks for Social Text Annotation
NAACL 2019
Sparse Metric Learning via Smooth Optimization
NIPS 2009
The Minimum Error Minimax Probability Machine
JMLR 2004