Kaizhu Huang

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 Unraveling LLM Jailbreaks Through Safety Knowledge Neurons EACL 2026 BFANet: Revisiting 3D Semantic Segmentation with Boundary Feature Analysis CVPR 2025 Can GRPO Boost Complex Multimodal Table Understanding? EMNLP 2025 Covariance-Based Space Regularization for Few-Shot Class Incremental Learning WACV 2025 Disentangling Tabular Data Towards Better One-Class Anomaly Detection AAAI 2025 GNS: Solving Plane Geometry Problems by Neural-Symbolic Reasoning with Multi-Modal LLMs AAAI 2025 Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist ICLR 2025 KMD: Koopman Multi-modality Decomposition for Generalized Brain Tumor Segmentation under Incomplete Modalities CVPR 2025 PO3AD: Predicting Point Offsets toward Better 3D Point Cloud Anomaly Detection CVPR 2025 Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation AAAI 2025 Towards a Universal 3D Medical Multi-modality Generalization via Learning Personalized Invariant Representation ICCV 2025 Towards Better Robustness Against Natural Corruptions in Document Tampering Localization AAAI 2025 ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning ICLR 2025 Delving into Adversarial Robustness on Document Tampering Localization ECCV 2024 DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness SemEval 2024 Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification NeurIPS 2024 MathAttack: Attacking Large Language Models towards Math Solving Ability AAAI 2024 Rethinking Multi-domain Generalization with A General Learning Objective CVPR 2024 Semantic-Aware Data Augmentation for Text-to-Image Synthesis AAAI 2024 Unraveling Batch Normalization for Realistic Test-Time Adaptation AAAI 2024 Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization ICCV 2023 Learning by Analogy: Diverse Questions Generation in Math Word Problem ACL 2023 Prompt-based Zero-shot Text Classification with Conceptual Knowledge ACL 2023 Rethinking Data Augmentation for Single-Source Domain Generalization in Medical Image Segmentation AAAI 2023 Towards Better Robustness against Common Corruptions for Unsupervised Domain Adaptation ICCV 2023 Outpainting by Queries ECCV 2022 Global-aware Beam Search for Neural Abstractive Summarization NeurIPS 2021 Gradient Distribution Alignment Certificates Better Adversarial Domain Adaptation ICCV 2021 Towards Better Robust Generalization with Shift Consistency Regularization ICML 2021 Feature Representation Matters: End-to-End Learning for Reference-based Image Super-resolution ECCV 2020 Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach AAAI 2020 Towards Better Forecasting by Fusing Near and Distant Future Visions AAAI 2020 Joint Multi-Label Attention Networks for Social Text Annotation NAACL 2019 Sparse Metric Learning via Smooth Optimization NeurIPS 2009 The Minimum Error Minimax Probability Machine JMLR 2004