| 2026 | AAAI | Intra-Image Mining and Symmetric Maximum Concept Matching for Few Shot Out-of-Distribution Detection. | Kaixiang Chen, Pengfei Fang, Hui Xue |
| 2026 | AAAI | HAP: Harmonized Amplitude Perturbation for Cross-Domain Few-Shot Learning. | Wenqian Li, Pengfei Fang, Hui Xue |
| 2026 | AAAI | Adaptive Hyperbolic Kernels: Modulated Embedding in de Branges-Rovnyak Spaces. | Leping Si, Meimei Yang, Hui Xue, Shipeng Zhu, Pengfei Fang |
| 2026 | ACL | Safe-SAIL: Towards a Fine-grained Safety Landscape of Large Language Models via Sparse Autoencoder Interpretation Framework. | Jiaqi Weng, Han Zheng, Hanyu Zhang, Ej Zhou, Qinqin He, Jialing Tao, Hui Xue, Zhixuan Chu, Xiting Wang |
| 2026 | ACL | Seeing but Not Thinking: Routing Distraction in Multimodal Mixture-of-Experts. | Haolei Xu, Haiwen Hong, Hongxing Li, Rui Zhou, Yang Zhang, Longtao Huang, Hui Xue, Yongliang Shen, Weiming Lu, Yueting Zhuang |
| 2026 | ACL | Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics. | Ziwen Xu, Chenyan Wu, Hengyu Sun, Haiwen Hong, Mengru Wang, Yunzhi Yao, Longtao Huang, Hui Xue, Shumin Deng, Zhixuan Chu, Huajun Chen, Ningyu Zhang |
| 2026 | ACL | How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities. | Ziwen Xu, Kewei Xu, Haoming Xu, Haiwen Hong, Longtao Huang, Hui Xue, Ningyu Zhang, Yongliang Shen, Guozhou Zheng, Huajun Chen, Shumin Deng |
| 2026 | ACL | LASA: Language-Agnostic Semantic Alignment at the Semantic Bottleneck for LLM Safety. | Junxiao Yang, Haoran Liu, Jinzhe Tu, Jiale Cheng, Zhexin Zhang, Shiyao Cui, Jiaqi Weng, Jialing Tao, Hui Xue, Hongning Wang, Han Qiu, Minlie Huang |
| 2026 | NDSS | A Causal Perspective for Enhancing Jailbreak Attack and Defense. | Licheng Pan, Yunsheng Lu, Jiexi Liu, Jialing Tao, Haozhe Feng, Hui Xue, Zhixuan Chu, Kui Ren |
| 2025 | AAAI | SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning. | Wenqian Li, Pengfei Fang, Hui Xue |
| 2025 | AAAI | Exploring the Relationship Between Samples and Masks for Robust Defect Localization. | Jiang Lin, Hui Xue, Fanxiu Sun, Yaping Yan |
| 2025 | AAAI | PEARL: Input-Agnostic Prompt Enhancement with Negative Feedback Regulation for Class-Incremental Learning. | Yongchun Qin, Pengfei Fang, Hui Xue |
| 2025 | ACL | The Right Time Matters: Data Arrangement Affects Zero-Shot Generalization in Instruction Tuning. | Bingxiang He, Ning Ding, Cheng Qian, Jia Deng, Ganqu Cui, Lifan Yuan, Haiwen Hong, Huan-ang Gao, Longtao Huang, Hui Xue, Huimin Chen, Zhiyuan Liu, Maosong Sun |
| 2025 | CIKM | Learning from Graph: Mitigating Label Noise on Graph through Topological Feature Reconstruction. | Zhonghao Wang, Yuanchen Bei, Sheng Zhou, Zhiyao Zhou, Jiapei Fan, Hui Xue, Haishuai Wang, Jiajun Bu |
| 2025 | CIKM | A Comprehensive Toolkit for Generalized Robust Vision. | Zhao Li, Yuefeng Chen, Hui Xue, Xiaofeng Mao |
| 2025 | ICASSP | KAnoCLIP: Zero-Shot Anomaly Detection through Knowledge-Driven Prompt Learning and Enhanced Cross-Modal Integration. | Chengyuan Li, Suyang Zhou, Jieping Kong, Lei Qi, Hui Xue |
| 2025 | ICASSP | A New Model for Prototype-based Continual Learning in Hyperspherical Space. | Yixin Ren, Yewei Xia, Li Ke, Longtao Huang, Hui Xue, Shuigeng Zhou |
| 2025 | ICASSP | Precision in Pathology: PMA-DETR Elevates Tumor Lesion Detection. | Yecheng Zhao, Zihan Zhou, Lei Qi, Hui Xue |
| 2025 | ICCV | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2025 | KDD | Score-based Generative Modeling for Conditional Independence Testing. | Yixin Ren, Chenghou Jin, Yewei Xia, Li Ke, Longtao Huang, Hui Xue, Hao Zhang, Jihong Guan, Shuigeng Zhou |
| 2025 | MICCAI | Reverse Imaging for Wide-Spectrum Generalization of Cardiac MRI Segmentation. | Yidong Zhao, Peter Kellman, Hui Xue, Tongyun Yang, Yi Zhang, Yuchi Han, Orlando P. Simonetti, Qian Tao |
| 2025 | SIGGRAPH | Generative Video Matting. | Yongtao Ge, Kangyang Xie, Guangkai Xu, Li Ke, Mingyu Liu, Longtao Huang, Hui Xue, Hao Chen, Chunhua Shen |
| 2025 | SIGIR | DePro: Domain Ensemble using Decoupled Prompts for Universal Cross-Domain Retrieval. | Kaixiang Chen, Pengfei Fang, Hui Xue |
| 2024 | AAAI | Text Image Inpainting via Global Structure-Guided Diffusion Models. | Shipeng Zhu, Pengfei Fang, Chenjie Zhu, Zuoyan Zhao, Qiang Xu, Hui Xue |
| 2024 | ACL | On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models. | Dongyang Li, Junbing Yan, Taolin Zhang, Chengyu Wang, Xiaofeng He, Longtao Huang, Hui Xue, Jun Huang |
| 2024 | COLING | UniPSDA: Unsupervised Pseudo Semantic Data Augmentation for Zero-Shot Cross-Lingual Natural Language Understanding. | Dongyang Li, Taolin Zhang, Jiali Deng, Longtao Huang, Chengyu Wang, Xiaofeng He, Hui Xue |
| 2024 | COLING | KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement Learning. | Dongyang Li, Taolin Zhang, Longtao Huang, Chengyu Wang, Xiaofeng He, Hui Xue |
| 2024 | COLING | TRELM: Towards Robust and Efficient Pre-training for Knowledge-Enhanced Language Models. | Junbing Yan, Chengyu Wang, Taolin Zhang, Xiaofeng He, Jun Huang, Wei Zhang, Longtao Huang, Hui Xue |
| 2024 | CSCWD | TSDNet: An Efficient Light Footprint Keyword Spotting Deep Network Base on Tempera Segment Normalization. | Fei Chen, Hui Xue, Pengfei Fang |
| 2024 | CVPR | 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 |
| 2024 | ECAI | R | Taolin Zhang, Dongyang Li, Qizhou Chen, Chengyu Wang, Longtao Huang, Hui Xue, Xiaofeng He, Jun Huang |
| 2024 | ICML | Copula-Nested Spectral Kernel Network. | Jinyue Tian, Hui Xue, Yanfang Xue, Pengfei Fang |
| 2024 | Interspeech | Towards Rehearsal-Free Multilingual ASR: A LoRA-based Case Study on Whisper. | Tianyi Xu, Kaixun Huang, Pengcheng Guo, Yu Zhou, Longtao Huang, Hui Xue, Lei Xie |
| 2024 | KDD | Large Language Model with Curriculum Reasoning for Visual Concept Recognition. | Yipeng Zhang, Xin Wang, Hong Chen, Jiapei Fan, Weigao Wen, Hui Xue, Hong Mei, Wenwu Zhu |
| 2024 | KDD | Understanding the Weakness of Large Language Model Agents within a Complex Android Environment. | Mingzhe Xing, Rongkai Zhang, Hui Xue, Qi Chen, Fan Yang, Zhen Xiao |
| 2024 | WACV | Synthesizing Coherent Story with Auto-Regressive Latent Diffusion Models. | Xichen Pan, Pengda Qin, Yuhong Li, Hui Xue, Wenhu Chen |
| 2023 | AAAI | Improving Scene Text Image Super-resolution via Dual Prior Modulation Network. | Shipeng Zhu, Zuoyan Zhao, Pengfei Fang, Hui Xue |
| 2023 | ACL | From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework. | Yangyi Chen, Hongcheng Gao, Ganqu Cui, Lifan Yuan, Dehan Kong, Hanlu Wu, Ning Shi, Bo Yuan, Longtao Huang, Hui Xue, Zhiyuan Liu, Maosong Sun, Heng Ji |
| 2023 | ACL | Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning. | Ruixiang Tang, Dehan Kong, Longtao Huang, Hui Xue |
| 2023 | CIKM | Incremental Graph Classification by Class Prototype Construction and Augmentation. | Yixin Ren, Li Ke, Dong Li, Hui Xue, Zhao Li, Shuigeng Zhou |
| 2023 | CVPR | ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing. | Xiaodan Li, Yuefeng Chen, Yao Zhu, Shuhui Wang, Rong Zhang, Hui Xue |
| 2023 | DASFAA | Improving Hyper-relational Knowledge Graph Representation with Multi-grained Encoding. | Ting Ma, Longtao Huang, Hui Xue |
| 2023 | EMNLP | Sparse Black-Box Multimodal Attack for Vision-Language Adversary Generation. | Zhen Yu, Zhou Qin, Zhenhua Chen, Meihui Lian, Haojun Fu, Weigao Wen, Hui Xue, Kun He |
| 2023 | ICASSP | An Effective Anomalous Sound Detection Method Based on Representation Learning with Simulated Anomalies. | Han Chen, Yan Song, Zhu Zhuo, Yu Zhou, Yu-Hong Li, Hui Xue, Ian McLoughlin |
| 2023 | ICASSP | Stargan-vc Based Cross-Domain Data Augmentation for Speaker Verification. | Hang-Rui Hu, Yan Song, Jian-Tao Zhang, Li-Rong Dai, Ian McLoughlin, Zhu Zhuo, Yu Zhou, Yu-Hong Li, Hui Xue |
| 2023 | ICASSP | Transaudio: Towards the Transferable Adversarial Audio Attack Via Learning Contextualized Perturbations. | Gege Qi, Yuefeng Chen, Yao Zhu, Binyuan Hui, Xiaodan Li, Xiaofeng Mao, Rong Zhang, Hui Xue |
| 2023 | ICASSP | Joint Generative-Contrastive Representation Learning for Anomalous Sound Detection. | Xiao-Min Zeng, Yan Song, Zhu Zhuo, Yu Zhou, Yu-Hong Li, Hui Xue, Li-Rong Dai, Ian McLoughlin |
| 2023 | ICCV | 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 |
| 2023 | ICCV | Open-Vocabulary Object Detection With an Open Corpus. | Jiong Wang, Huiming Zhang, Haiwen Hong, Xuan Jin, Yuan He, Hui Xue, Zhou Zhao |
| 2023 | ICLR | Inequality phenomenon in l | Ranjie Duan, Yuefeng Chen, Yao Zhu, Xiaojun Jia, Rong Zhang, Hui Xue |
| 2023 | ICLR | Budgeted Training for Vision Transformer. | Zhuofan Xia, Xuran Pan, Xuan Jin, Yuan He, Hui Xue, Shiji Song, Gao Huang |
| 2023 | IJCAI | Learning to Learn from Corrupted Data for Few-Shot Learning. | Yuexuan An, Xingyu Zhao, Hui Xue |
| 2023 | IJCAI | Boosting Few-Shot Open-Set Recognition with Multi-Relation Margin Loss. | Yongjuan Che, Yuexuan An, Hui Xue |
| 2023 | IJCAI | Expanding the Hyperbolic Kernels: A Curvature-aware Isometric Embedding View. | Meimei Yang, Pengfei Fang, Hui Xue |
| 2023 | Interspeech | Robust Automatic Speech Recognition via WavAugment Guided Phoneme Adversarial Training. | Gege Qi, Yuefeng Chen, Xiaofeng Mao, Xiaojun Jia, Ranjie Duan, Rong Zhang, Hui Xue |
| 2023 | ISSTA | FairRec: Fairness Testing for Deep Recommender Systems. | Huizhong Guo, Jinfeng Li, Jingyi Wang, Xiangyu Liu, Dongxia Wang, Zehong Hu, Rong Zhang, Hui Xue |
| 2023 | Networking | Linking User Identities Across Social Networks via Frequency Domain Analysis. | Hui Xue, Bo Sun, Weixuan Mao |
| 2023 | Networking | ER-ERT:A Method of Ensemble Representation Learning of Encrypted RAT Traffic. | Yijing Zhang, Hui Xue, Jianjun Lin, Xiaoyu Liu, Weilin Gai, Xiaodu Yang, Anqi Wang, Yinliang Yue, Bo Sun |
| 2023 | WWW | Continual Few-shot Learning with Transformer Adaptation and Knowledge Regularization. | Xin Wang, Yue Liu, Jiapei Fan, Weigao Wen, Hui Xue, Wenwu Zhu |
| 2022 | CVPR | Towards Robust Vision Transformer. | Xiaofeng Mao, Gege Qi, Yuefeng Chen, Xiaodan Li, Ranjie Duan, Shaokai Ye, Yuan He, Hui Xue |
| 2022 | EMNLP | Multiple Instance Learning for Offensive Language Detection. | Jiexi Liu, Dehan Kong, Longtao Huang, Dinghui Mao, Hui Xue |
| 2022 | EMNLP | Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation. | Xiaohui Song, Longtao Huang, Hui Xue, Songlin Hu |
| 2022 | EMNLP | RoChBert: Towards Robust BERT Fine-tuning for Chinese. | Zihan Zhang, Jinfeng Li, Ning Shi, Bo Yuan, Xiangyu Liu, Rong Zhang, Hui Xue, Donghong Sun, Chao Zhang |
| 2022 | ICASSP | MAKD: MULTIPLE Auxiliary Knowledge Distillation. | Zehan Chen, Xuan Jin, Yuan He, Hui Xue |
| 2022 | ICASSP | LightPose: A Lightweight and Efficient Model with Transformer for Human Pose Estimation. | Xiyang Liu, Peng Li, Ding Ni, Yan Wang, Hui Xue |
| 2022 | ICLR | 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 |
| 2022 | IJCAI | Automatically Gating Multi-Frequency Patterns through Rectified Continuous Bernoulli Units with Theoretical Principles. | Zheng-Fan Wu, Yi-Nan Feng, Hui Xue |
| 2021 | AAAI | Composite Adversarial Attacks. | Xiaofeng Mao, Yuefeng Chen, Shuhui Wang, Hang Su, Yuan He, Hui Xue |
| 2021 | CVPR | 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 |
| 2021 | CVPR | 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 |
| 2021 | ICASSP | Self-Supervised Learning for Few-Shot Image Classification. | Da Chen, Yuefeng Chen, Yuhong Li, Feng Mao, Yuan He, Hui Xue |
| 2021 | ICASSP | Enhancing Model Robustness by Incorporating Adversarial Knowledge into Semantic Representation. | Jinfeng Li, Tianyu Du, Xiangyu Liu, Rong Zhang, Hui Xue, Shouling Ji |
| 2021 | ICCV | Towards Face Encryption by Generating Adversarial Identity Masks. | Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu, Yuefeng Chen, Hui Xue |
| 2021 | ICLR | Cut out the annotator, keep the cutout: better segmentation with weak supervision. | Sarah M. Hooper, Michael Wornow, Ying Hang Seah, Peter Kellman, Hui Xue, Frederic Sala, Curtis P. Langlotz, Christopher R |
| 2021 | IJCAI | Conditional Self-Supervised Learning for Few-Shot Classification. | Yuexuan An, Hui Xue, Xingyu Zhao, Lu Zhang |
| 2021 | IJCAI | Adversarial Spectral Kernel Matching for Unsupervised Time Series Domain Adaptation. | Qiao Liu, Hui Xue |
| 2021 | IJCAI | Learning Deeper Non-Monotonic Networks by Softly Transferring Solution Space. | Zheng-Fan Wu, Hui Xue, Weimin Bai |
| 2021 | ICTAI | DBUL: A User Identity Linkage Method across Social Networks Based on Spatiotemporal Data. | Hui Xue, Bo Sun, Chengxiang Si, Wei Zhang, Jing Fang |
| 2021 | KDD | DeGNN: Improving Graph Neural Networks with Graph Decomposition. | Xupeng Miao, Nezihe Merve Grel, Wentao Zhang, Zhichao Han, Bo Li, Wei Min, Susie Xi Rao, Hansheng Ren, Yinan Shan, Yingxia Shao, Yujie Wang, Fan Wu, Hui Xue, Yaming Yang, Zitao Zhang, Yang Zhao, Shuai Zhang, Yujing Wang, Bin Cui, Ce Zhang |
| 2021 | WWW | Match Plan Generation in Web Search with Parameterized Action Reinforcement Learning. | Ziyan Luo, Linfeng Zhao, Wei Cheng, Sihao Chen, Qi Chen, Hui Xue, Haidong Wang, Chuanjie Liu, Mao Yang, Lintao Zhang |
| 2021 | WWW | MIRA: Leveraging Multi-Intention Co-click Information in Web-scale Document Retrieval using Deep Neural Networks. | Yusi Zhang, Chuanjie Liu, Angen Luo, Hui Xue, Xuan Shan, Yuxiang Luo, Yiqian Xia, Yuanchi Yan, Haidong Wang |
| 2020 | AAAI | Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Network. | Zhe Ma, Jianfeng Dong, Zhongzi Long, Yao Zhang, Yuan He, Hui Xue, Shouling Ji |
| 2020 | ACL | SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction. | He Zhao, Longtao Huang, Rong Zhang, Quan Lu, Hui Xue |
| 2020 | CVPR | Which Is Plagiarism: Fashion Image Retrieval Based on Regional Representation for Design Protection. | Yining Lang, Yuan He, Fan Yang, Jianfeng Dong, Hui Xue |
| 2020 | ECCV | A Visual Inductive Priors Framework for Data-Efficient Image Classification. | Pengfei Sun, Xuan Jin, Wei Su, Yuan He, Hui Xue, Quan Lu |
| 2020 | ICASSP | Self-Supervised Adversarial Training. | Kejiang Chen, Yuefeng Chen, Hang Zhou, Xiaofeng Mao, Yuhong Li, Yuan He, Hui Xue, Weiming Zhang, Nenghai Yu |
| 2020 | ICASSP | Hierarchical Sequence Representation with Graph Network. | Da Chen, Xiang Wu, Jianfeng Dong, Yuan He, Hui Xue, Feng Mao |
| 2020 | ICASSP | The Open Brands Dataset: Unified Brand Detection and Recognition at Scale. | Xuan Jin, Wei Su, Rong Zhang, Yuan He, Hui Xue |
| 2020 | ICASSP | Design-Gan: Cross-Category Fashion Translation Driven By Landmark Attention. | Yining Lang, Yuan He, Jianfeng Dong, Fan Yang, Hui Xue |
| 2020 | ICASSP | Learning to Characterize Adversarial Subspaces. | Xiaofeng Mao, Yuefeng Chen, Yuhong Li, Yuan He, Hui Xue |
| 2020 | ICCS | Smart Fire Alarm System with Person Detection and Thermal Camera. | Yibing Ma, Xuetao Feng, Jile Jiao, Zhongdong Peng, Shenger Qian, Hui Xue, Hua Li |
| 2020 | IJCAI | BaKer-Nets: Bayesian Random Kernel Mapping Networks. | Hui Xue, Zheng-Fan Wu |
| 2020 | WWW | Fighting Against Deepfake: Patch&Pair Convolutional Neural Networks (PPCNN). | Xurong Li, Kun Yu, Shouling Ji, Yan Wang, Chunming Wu, Hui Xue |
| 2020 | USENIX | AutoSys: The Design and Operation of Learning-Augmented Systems. | Chieh-Jan Mike Liang, Hui Xue, Mao Yang, Lidong Zhou, Lifei Zhu, Zhao Lucis Li, Zibo Wang, Qi Chen, Quanlu Zhang, Chuanjie Liu, Wenjun Dai |
| 2019 | ICASSP | Bilinear Representation for Language-based Image Editing Using Conditional Generative Adversarial Networks. | Xiaofeng Mao, Yuefeng Chen, Yuhong Li, Tao Xiong, Yuan He, Hui Xue |
| 2019 | ICDM | Adaptive Teacher-and-Student Model for Heterogeneous Domain Adaptation. | Yunyun Wang, Xuzhang Chen, Songcan Chen, Hui Xue |
| 2019 | IJCAI | Deep Spectral Kernel Learning. | Hui Xue, Zheng-Fan Wu, Wei-Xiang Sun |
| 2019 | PAKDD | The Most Related Knowledge First: A Progressive Domain Adaptation Method. | Yunyun Wang, Dan Zhao, Yun Li, Kejia Chen, Hui Xue |
| 2018 | ECCV | Hierarchical Video Frame Sequence Representation with Deep Convolutional Graph Network. | Feng Mao, Xiang Wu, Hui Xue, Rong Zhang |
| 2018 | PRICAI | Subclass Maximum Margin Tree Error Correcting Output Codes. | Fa Zheng, Hui Xue |
| 2017 | AAAI | Solving Indefinite Kernel Support Vector Machine with Difference of Convex Functions Programming. | Haiming Xu, Hui Xue, Xiaohong Chen, Yunyun Wang |
| 2017 | IJCAI | Multiple Indefinite Kernel Learning for Feature Selection. | Hui Xue, Yu Song, Haiming Xu |
| 2016 | COLING | Ranking Responses Oriented to Conversational Relevance in Chat-bots. | Bowen Wu, Baoxun Wang, Hui Xue |
| 2016 | CVPR | Logistic Boosting Regression for Label Distribution Learning. | Chao Xing, Xin Geng, Hui Xue |
| 2016 | PRICAI | Maximum Margin Tree Error Correcting Output Codes. | Fa Zheng, Hui Xue, Xiaohong Chen, Yunyun Wang |
| 2015 | CCS | Enpublic Apps: Security Threats Using iOS Enterprise and Developer Certificates. | Min Zheng, Hui Xue, Yulong Zhang, Tao Wei, John C. S. Lui |
| 2014 | PKAW | l p -norm Multiple Kernel Learning with Diversity of Classes. | Dayin Zhang, Hui Xue |
| 2013 | ASPLOS | Verifying security invariants in ExpressOS. | Haohui Mai, Edgar Pek, Hui Xue, Samuel Talmadge King, Parthasarathy Madhusudan |
| 2012 | ICPR | Discriminative indefinite kernel classifier from pairwise constraints and unlabeled data. | Hui Xue, Songcan Chen, Jijian Huang |
| 2012 | NDSS | Using replicated execution for a more secure and reliable web browser. | Hui Xue, Nathan Dautenhahn, Samuel T. King |
| 2012 | PRICAI | Semi-Supervised Discriminatively Regularized Classifier with Pairwise Constraints. | Jijian Huang, Hui Xue, Yuqing Zhai |
| 2011 | MICCAI | Automatic Segmentation of the Myocardium in Cine MR Images Using Deformable Registration. | Marie-Pierre Jolly, Christoph Guetter, Xiaoguang Lu, Hui Xue, Jens Guehring |
| 2011 | MICCAI | Motion Compensated Magnetic Resonance Reconstruction Using Inverse-Consistent Deformable Registration: Application to Real-Time Cine Imaging. | Hui Xue, Yu Ding, Christoph Guetter, Marie-Pierre Jolly, Jens Guehring, Sven Zhlsdorff, Orlando P. Simonetti |
| 2009 | MICCAI | Combining Registration and Minimum Surfaces for the Segmentation of the Left Ventricle in Cardiac Cine MR Images. | Marie-Pierre Jolly, Hui Xue, Leo J. Grady, Jens Guehring |
| 2009 | MICCAI | Unsupervised Inline Analysis of Cardiac Perfusion MRI. | Hui Xue, Sven Zhlsdorff, Peter Kellman, Andrew E. Arai, Sonia Nielles-Vallespin, Christophe Chefd'Hotel, Christine H. Lorenz, Jens Guehring |
| 2008 | ISNN | Structural Support Vector Machine. | Hui Xue, Songcan Chen, Qiang Yang |
| 2008 | MICCAI | Evaluation of Rigid and Non-rigid Motion Compensation of Cardiac Perfusion MRI. | Hui Xue, Jens Guehring, Latha Srinivasan, Sven Zhlsdorff, Kinda Anna Saddi, Christophe Chefd'Hotel, Joseph V. Hajnal, Daniel Rueckert |
| 2008 | OSDI | Digging for Data Structures. | Anthony Cozzie, Frank Stratton, Hui Xue, Samuel T. King |
| 2007 | MICCAI | In-utero Three Dimension High Resolution Fetal Brain Diffusion Tensor Imaging. | Shuzhou Jiang, Hui Xue, Serena J. Counsell, Mustafa Anjari, Joanna M. Allsop, Mary A. Rutherford, Daniel Rueckert, Joseph V. Hajnal |
| 2007 | MICCAI | Longitudinal Cortical Registration for Developing Neonates. | Hui Xue, Latha Srinivasan, Shuzhou Jiang, Mary A. Rutherford, A. David Edwards, Daniel Rueckert, Joseph V. Hajnal |