ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning. Zihan Ye, Shreyank N Gowda, Shiming Chen, Xiaowei Huang, Haotian Xu, Fahad Shahbaz Khan, Yaochu Jin, Kaizhu Huang, Xiaobo Jin; International Conference on Learning Representations, 2025
Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist. Zihao Zhou, Shudong Liu, Maizhen Ning, Wei Liu, Jingdong Wang, Derek F. Wong, Xiaowei Huang, Qiufeng Wang, Kaizhu Huang; International Conference on Learning Representations, 2025
GNS: Solving Plane Geometry Problems by Neural-Symbolic Reasoning with Multi-Modal LLMs. Maizhen Ning, Zihao Zhou, Qiu-Feng Wang, Xiaowei Huang, Kaizhu Huang; AAAI Conference on Artificial Intelligence, 2025
Disentangling Tabular Data Towards Better One-Class Anomaly Detection. Jianan Ye, Zhaorui Tan, Yijie Hu, Xi Yang, Guangliang Cheng, Kaizhu Huang; AAAI Conference on Artificial Intelligence, 2025
Towards Better Robustness Against Natural Corruptions in Document Tampering Localization. Huiru Shao, Kaizhu Huang, Wei Wang, Xiaowei Huang, Qiufeng Wang; AAAI Conference on Artificial Intelligence, 2025
Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation. Xiaoqiang Kang, Zimu Wang, Xiaobo Jin, Wei Wang, Kaizhu Huang, Qiufeng Wang; AAAI Conference on Artificial Intelligence, 2025
Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification. Zhaorui Tan, Xi Yang, Qiufeng Wang, Anh Nguyen, Kaizhu Huang; Annual Conference on Neural Information Processing Systems, 2024
Semantic-Aware Data Augmentation for Text-to-Image Synthesis. Zhaorui Tan, Xi Yang, Kaizhu Huang; AAAI Conference on Artificial Intelligence, 2024
Rethinking Multi-domain Generalization with A General Learning Objective. Zhaorui Tan, Xi Yang, Kaizhu Huang; IEEE/CVF Conference on Computer Vision and Pattern, 2024
Coarse-to-Fine Document Image Registration for Dewarping. Weiguang Zhang, Qiufeng Wang, Kaizhu Huang, Xiaomeng Gu, Fengjun Guo; International Conference on Document Analysis and Recognition, 2024
Document Registration: Towards Automated Labeling of Pixel-Level Alignment Between Warped-Flat Documents. Weiguang Zhang, Qiufeng Wang, Kaizhu Huang, Xiaowei Huang, Fengjun Guo, and Xiaomeng Gu; ACM International Conference on Multimedia, 2024
Delving into Adversarial Robustness on Document Tampering Localization. Huiru Shao, Zhuang Qian, Kaizhu Huang, Wei Wang, Xiaowei Huang, Qiufeng Wang; European Conference on Computer Vision, 2024
Unraveling Batch Normalization for Realistic Test-Time Adaptation. Zixian, Su, Jingwei Guo, Kai Yao, Xi Yang, Qiufeng Wang, Kaizhu Huang; AAAI Conference on Artificial Intelligence, 2024
Rethinking Data Augmentation for Single-Source Domain Generalization in Medical Image Segmentation. Zixian Su, Kai Yao, Xi Yang, Kaizhu Huang, Qiufeng Wang, Jie Sun; AAAI Conference on Artificial Intelligence, 2023
Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization. Weiguang Zhao, Yuyao Yan, Chaolong Yang, Jianan Ye, Xi Yang, Kaizhu Huang; IEEE/CVF International Conference on Computer Vision, 2023
Explore Epistemic Uncertainty in Domain Adaptive Semantic Segmentation. Yao, Kai, Zixian Su, Xi Yang, Jie Sun, and Kaizhu Huang; ACM International Conference on Information and Knowledge Management, 2023
Learning by Analogy: Diverse Questions Generation in Math Word Problem. Zihao Zhou, Maizhen Ning, Qiufeng Wang, Jie Yao, Wei Wang, Xiaowei Huang and Kaizhu Huang; Annual Meeting of the Association for Computational Linguistics Findings, 2023
A Symbolic Characters Aware Model for Solving Geometry Problems. Maizhen Ning, Qiufeng Wang, Kaizhu Huang, Xiaowei Huang; ACM International Conference on Multimedia, 2023
Context Does Matter: End-to-end Panoptic Narrative Grounding with Deformable Attention Refined Matching Network. Yiming Lin, Xiao-Bo Jin, Qiufeng Wang, Kaizhu Huang; IEEE International Conference on Data Mining, 2023
Ye Ma, Zixun Lan, Lu Zong, Kaizhu Huang, Global-aware Beam Search for Neural Abstractive Summarization, Neural Information Processing Systems (NeurIPS), 2021.
Liuqing Zhao, Fan Lyu, Fuyuan Hu, Fenglei Xu, Kaizhu Huang, Each Attribute Matters: Contrastive Attention for Sentence-based Image Editing, British Machine Vision Conference (BMVC), 2021.
Zhiqiang Gao, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Chaoliang Zhong, Gradient Distribution Alignment Certificates Better Adversarial Domain Adaptation, International Conference on Computer Vision (ICCV), 2021.
Shufei Zhang, Zhuang Qian, Kaizhu Huang, Qiufeng Wang, Rui Zhang, Xinping Yi, Towards Better Robust Generalization with Shift Consistency Regularization, International Conference on Machine Learning (ICML), 2021.
Chenru Jiang, Kaizhu Huang, Shufei Zhang, Henry Wang and Jimin Xiao, Pay Attention Selectively and Comprehensively: Pyramid Gating Network for Human Pose Estimation without Pretraining, ACM Multimedia (ACM MM), 2020.
Guanyu Yang, Kaizhu Huang, Rui Zhang, John Goulermas and Amir Hussain, Inductive Generalized Zero-shot Learning with Adversarial Relation Network, European Conference on Machine Learning (ECML), 2020.
Yanchun Xie, Jimin XIAO, Mingjie Sun, Chao Yao, Kaizhu Huang, Matching Representations Matters: End-to-End Learning for Neural Texture Transfer, European Conference on Computer Vision (ECCV), 2020.
Jiezhu Cheng, Kaizhu Huang, Zibin Zheng, Towards Better Forecasting by Fusing Near and Distant Future Visions, Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020.
Bingfeng Zhang, Jimin Xiao, Yunchao Wei, Mingjie Sun, Kaizhu Huang, Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach, Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020.
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