Xue, Hui

47 publications

ICML 2025 Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning Chendi Ge, Xin Wang, Zeyang Zhang, Hong Chen, Jiapei Fan, Longtao Huang, Hui Xue, Wenwu Zhu

AAAI 2025 Exploring the Relationship Between Samples and Masks for Robust Defect Localization Jiang Lin, Hui Xue, Fanxiu Sun, Yaping Yan

ICCV 2025 Jailbreaking Multimodal Large Language Models via Shuffle Inconsistency Shiji Zhao, Ranjie Duan, Fengxiang Wang, Chi Chen, Caixin Kang, Shouwei Ruan, Jialing Tao, YueFeng Chen, Hui Xue, Xingxing Wei

ICML 2025 Modularized Self-Reflected Video Reasoner for Multimodal LLM with Application to Video Question Answering Zihan Song, Xin Wang, Zi Qian, Hong Chen, Longtao Huang, Hui Xue, Wenwu Zhu

NeurIPS 2025 Multi-Modal Interactive Agent Layer for Few-Shot Universal Cross-Domain Retrieval and Beyond Kaixiang Chen, Pengfei Fang, Hui Xue

AAAI 2025 PEARL: Input-Agnostic Prompt Enhancement with Negative Feedback Regulation for Class-Incremental Learning Yongchun Qin, Pengfei Fang, Hui Xue

NeurIPS 2025 Reviving DSP for Advanced Theorem Proving in the Era of Reasoning Models Chenrui Cao, Liangcheng Song, Zenan Li, Xinyi Le, Xian Zhang, Hui Xue, Fan Yang

AAAI 2025 SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning Wenqian Li, Pengfei Fang, Hui Xue

NeurIPS 2025 Towards the Resistance of Neural Network Fingerprinting to Fine-Tuning Ling Tang, YueFeng Chen, Hui Xue, Quanshi Zhang

ICML 2024 Copula-Nested Spectral Kernel Network Jinyue Tian, Hui Xue, Yanfang Xue, Pengfei Fang

CVPR 2024 One-Dimensional Adapter to Rule Them All: Concepts Diffusion Models and Erasing Applications Mengyao Lyu, Yuhong Yang, Haiwen Hong, Hui Chen, Xuan Jin, Yuan He, Hui Xue, Jungong Han, Guiguang Ding

WACV 2024 Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models Xichen Pan, Pengda Qin, Yuhong Li, Hui Xue, Wenhu Chen

AAAI 2024 Text Image Inpainting via Global Structure-Guided Diffusion Models Shipeng Zhu, Pengfei Fang, Chenjie Zhu, Zuoyan Zhao, Qiang Xu, Hui Xue

IJCAI 2023 Boosting Few-Shot Open-Set Recognition with Multi-Relation Margin Loss Yongjuan Che, Yuexuan An, Hui Xue

ICLR 2023 Budgeted Training for Vision Transformer Zhuofan Xia, Xuran Pan, Xuan Jin, Yuan He, Hui Xue', Shiji Song, Gao Huang

ICCV 2023 COCO-O: A Benchmark for Object Detectors Under Natural Distribution Shifts Xiaofeng Mao, Yuefeng Chen, Yao Zhu, Da Chen, Hang Su, Rong Zhang, Hui Xue

NeurIPS 2023 CosNet: A Generalized Spectral Kernel Network Yanfang Xue, Pengfei Fang, Jinyue Tian, Shipeng Zhu, Hui Xue

IJCAI 2023 Expanding the Hyperbolic Kernels: A Curvature-Aware Isometric Embedding View Meimei Yang, Pengfei Fang, Hui Xue

CVPR 2023 ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing Xiaodan Li, Yuefeng Chen, Yao Zhu, Shuhui Wang, Rong Zhang, Hui Xue

AAAI 2023 Improving Scene Text Image Super-Resolution via Dual Prior Modulation Network Shipeng Zhu, Zuoyan Zhao, Pengfei Fang, Hui Xue

ICLR 2023 Inequality Phenomenon in $l_{\infty}$-Adversarial Training, and Its Unrealized Threats Ranjie Duan, YueFeng Chen, Yao Zhu, Xiaojun Jia, Rong Zhang, Hui Xue'

IJCAI 2023 Learning to Learn from Corrupted Data for Few-Shot Learning Yuexuan An, Xingyu Zhao, Hui Xue

ICCV 2023 Open-Vocabulary Object Detection with an Open Corpus Jiong Wang, Huiming Zhang, Haiwen Hong, Xuan Jin, Yuan He, Hui Xue, Zhou Zhao

ICMLW 2023 PIAT: Parameter Interpolation Based Adversarial Training for Image Classification Kun He, Xin Liu, Yichen Yang, Zhou Qin, Weigao Wen, Hui Xue', John E. Hopcroft

NeurIPS 2023 Spectral Invariant Learning for Dynamic Graphs Under Distribution Shifts Zeyang Zhang, Xin Wang, Ziwei Zhang, Zhou Qin, Weigao Wen, Hui Xue', Haoyang Li, Wenwu Zhu

IJCAI 2022 Automatically Gating Multi-Frequency Patterns Through Rectified Continuous Bernoulli Units with Theoretical Principles Zheng-Fan Wu, Yi-Nan Feng, Hui Xue

ICLR 2022 Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-Box Domains Qilong Zhang, Xiaodan Li, YueFeng Chen, Jingkuan Song, Lianli Gao, Yuan He, Hui Xue'

NeurIPS 2022 Boosting Out-of-Distribution Detection with Typical Features Yao Zhu, YueFeng Chen, Chuanlong Xie, Xiaodan Li, Rong Zhang, Hui Xue', Xiang Tian, Bolun Zheng, Yaowu Chen

NeurIPS 2022 Enhance the Visual Representation via Discrete Adversarial Training Xiaofeng Mao, YueFeng Chen, Ranjie Duan, Yao Zhu, Gege Qi, Shaokai Ye, Xiaodan Li, Rong Zhang, Hui Xue'

CoLLAs 2022 Heat-RL: Online Model Selection for Streaming Time-Series Anomaly Detection Yujing Wang, Luoxin Xiong, Mingliang Zhang, Hui Xue, Qi Chen, Yaming Yang, Yunhai Tong, Congrui Huang, Bixiong Xu

CVPR 2022 Towards Robust Vision Transformer Xiaofeng Mao, Gege Qi, Yuefeng Chen, Xiaodan Li, Ranjie Duan, Shaokai Ye, Yuan He, Hui Xue

IJCAI 2021 Adversarial Spectral Kernel Matching for Unsupervised Time Series Domain Adaptation Qiao Liu, Hui Xue

AAAI 2021 Composite Adversarial Attacks Xiaofeng Mao, Yuefeng Chen, Shuhui Wang, Hang Su, Yuan He, Hui Xue

IJCAI 2021 Conditional Self-Supervised Learning for Few-Shot Classification Yuexuan An, Hui Xue, Xingyu Zhao, Lu Zhang

ICLR 2021 Cut Out the Annotator, Keep the Cutout: Better Segmentation with Weak Supervision Sarah Hooper, Michael Wornow, Ying Hang Seah, Peter Kellman, Hui Xue, Frederic Sala, Curtis Langlotz, Christopher Re

IJCAI 2021 Learning Deeper Non-Monotonic Networks by Softly Transferring Solution Space Zheng-Fan Wu, Hui Xue, Weimin Bai

CVPR 2021 QAIR: Practical Query-Efficient Black-Box Attacks for Image Retrieval Xiaodan Li, Jinfeng Li, Yuefeng Chen, Shaokai Ye, Yuan He, Shuhui Wang, Hang Su, Hui Xue

CVPR 2021 Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain Honggu Liu, Xiaodan Li, Wenbo Zhou, Yuefeng Chen, Yuan He, Hui Xue, Weiming Zhang, Nenghai Yu

ICCV 2021 Towards Face Encryption by Generating Adversarial Identity Masks Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu, Yuefeng Chen, Hui Xue

ECCVW 2020 A Visual Inductive Priors Framework for Data-Efficient Image Classification Pengfei Sun, Xuan Jin, Wei Su, Yuan He, Hui Xue, Quan Lu

IJCAI 2020 BaKer-Nets: Bayesian Random Kernel Mapping Networks Hui Xue, Zheng-Fan Wu

AAAI 2020 Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Network Zhe Ma, Jianfeng Dong, Zhongzi Long, Yao Zhang, Yuan He, Hui Xue, Shouling Ji

IJCAI 2019 Deep Spectral Kernel Learning Hui Xue, Zheng-Fan Wu, Wei-Xiang Sun

ECCVW 2018 Hierarchical Video Frame Sequence Representation with Deep Convolutional Graph Network Feng Mao, Xiang Wu, Hui Xue, Rong Zhang

IJCAI 2017 Multiple Indefinite Kernel Learning for Feature Selection Hui Xue, Yu Song, Haiming Xu

AAAI 2017 Solving Indefinite Kernel Support Vector Machine with Difference of Convex Functions Programming Haiming Xu, Hui Xue, Xiaohong Chen, Yunyun Wang

CVPR 2016 Logistic Boosting Regression for Label Distribution Learning Chao Xing, Xin Geng, Hui Xue