Solving Extended Linear Programming Problems Using a Class of Recurrent Neural Networks. - Xiaolin Hu 001; Jun Wang 002 (ICONIP (2), 2006)

A Recurrent Neural Network for Solving Nonconvex Optimization Problems. - Xiaolin Hu 001; Jun Wang 002 (IJCNN, 2006)

Global stability of a recurrent neural network for solving pseudomonotone variational inequalities. - Xiaolin Hu 001; Jun Wang 002 (ISCAS, 2006)

Solving Pseudomonotone Variational Inequalities and Pseudoconvex Optimization Problems Using the Projection Neural Network. - Xiaolin Hu 001; Jun Wang 002 (IEEE Trans. Neural Networks, 2006)

Solving the k-Winners-Take-All Problem and the Oligopoly Cournot-Nash Equilibrium Problem Using the General Projection Neural Networks. - Xiaolin Hu 001; Jun Wang 002 (ICONIP (1), 2007)

Convergence of a Recurrent Neural Network for Nonconvex Optimization Based on an Augmented Lagrangian Function. - Xiaolin Hu 001; Jun Wang 002 (ISNN (3), 2007)

Solving Generally Constrained Generalized Linear Variational Inequalities Using the General Projection Neural Networks. - Xiaolin Hu 001; Jun Wang 002 (IEEE Trans. Neural Networks, 2007)

A Recurrent Neural Network for Solving a Class of General Variational Inequalities. - Xiaolin Hu 001; Jun Wang 002 (IEEE Trans. Syst. Man Cybern. Part B, 2007)

Design of General Projection Neural Networks for Solving Monotone Linear Variational Inequalities and Linear and Quadratic Optimization Problems. - Xiaolin Hu 001; Jun Wang 002 (IEEE Trans. Syst. Man Cybern. Part B, 2007)

Solving variational inequalities and related problems using recurrent neural networks. - Xiaolin Hu 001 (2007)

Three Global Exponential Convergence Results of the GPNN for Solving Generalized Linear Variational Inequalities. - Xiaolin Hu 001; Zhigang Zeng; Bo Zhang 010 (ISNN (1), 2008)

THU and ICRC at TRECVID 2008. - Yingyu Liang; Xiaobing Liu; Zhikun Wang; Jianmin Li 001; Binbin Cao; Zhichao Cao 001; Zhenlong Dai; Zhishan Guo; Wen Li; Leigang Luo; Zhaoshi Meng; Yinfeng Qin; et al. (TRECVID, 2008)

An Improved Dual Neural Network for Solving a Class of Quadratic Programming Problems and Its k-Winners-Take-All Application. - Xiaolin Hu 001; Jun Wang 002 (IEEE Trans. Neural Networks, 2008)

Another Simple Recurrent Neural Network for Quadratic and Linear Programming. - Xiaolin Hu 001; Bo Zhang 010 (ISNN (3), 2009)

Motion Planning with Obstacle Avoidance for Kinematically Redundant Manipulators Based on Two Recurrent Neural Networks. - Xiaolin Hu 001; Jun Wang 002; Bo Zhang 010 (SMC, 2009)

A New Recurrent Neural Network for Solving Convex Quadratic Programming Problems With an Application to the k -Winners-Take-All Problem. - Xiaolin Hu 001; Bo Zhang 010 (IEEE Trans. Neural Networks, 2009)

An Alternative Recurrent Neural Network for Solving Variational Inequalities and Related Optimization Problems. - Xiaolin Hu 001; Bo Zhang 010 (IEEE Trans. Syst. Man Cybern. Part B, 2009)

A Gaussian Attractor Network for Memory and Recognition with Experience-Dependent Learning. - Xiaolin Hu 001; Bo Zhang 010 (Neural Comput., 2010)

Design of recurrent neural networks for solving constrained least absolute deviation problems. - Xiaolin Hu 001; Changyin Sun 001; Bo Zhang 010 (IEEE Trans. Neural Networks, 2010)

Solving the Assignment Problem with the Improved Dual Neural Network. - Xiaolin Hu 001; Jun Wang 002 (ISNN (1), 2011)

Hierarchical K-Means Algorithm for Modeling Visual Area V2 Neurons. - Xiaolin Hu 001; Peng Qi 004; Bo Zhang 010 (ICONIP (3), 2012)

Solving the Assignment Problem Using Continuous-Time and Discrete-Time Improved Dual Networks. - Xiaolin Hu 001; Jun Wang 002 (IEEE Trans. Neural Networks Learn. Syst., 2012)

Traffic sign detection by ROI extraction and histogram features-based recognition. - Ming Liang; Mingyi Yuan; Xiaolin Hu 001; Jianmin Li 001; Huaping Liu (IJCNN, 2013)

Traffic sign detection based on convolutional neural networks. - Yihui Wu; Yulong Liu; Jianmin Li 001; Huaping Liu; Xiaolin Hu 001 (IJCNN, 2013)

Data-based control, optimization, modeling and applications. - Dongbin Zhao; Yi Shen 002; Zhanshan Wang; Xiaolin Hu 001 (Neural Comput. Appl., 2013)

Modeling response properties of V2 neurons using a hierarchical K-means model. - Xiaolin Hu 001; Jianwei Zhang 001; Peng Qi 004; Bo Zhang 010 (Neurocomputing, 2014)

Learning Nonlinear Statistical Regularities in Natural Images by Modeling the Outer Product of Image Intensities. - Peng Qi 004; Xiaolin Hu 001 (Neural Comput., 2014)

Deep Convolutional Neural Network and Multi-view Stacking Ensemble in Ali Mobile Recommendation Algorithm Competition: The Solution to the Winning of Ali Mobile Recommendation Algorithm. - Xiang Li 041; Suchi Qian; Furong Peng; Jian Yang 003; Xiaolin Hu 001; Rui Xia (ICDM Workshops, 2015)

Interlinked Convolutional Neural Networks for Face Parsing. - Yisu Zhou; Xiaolin Hu 001; Bo Zhang 010 (ISNN, 2015)

Convolutional Neural Networks with Intra-Layer Recurrent Connections for Scene Labeling. - Ming Liang; Xiaolin Hu 001; Bo Zhang 010 (NIPS, 2015)

Comparison of ℓ1-Norm SVR and Sparse Coding Algorithms for Linear Regression. - Qingtian Zhang; Xiaolin Hu 001; Bo Zhang 010 (IEEE Trans. Neural Networks Learn. Syst., 2015)

Joint Training of Cascaded CNN for Face Detection. - Hongwei Qin; Junjie Yan; Xiu Li 001; Xiaolin Hu 001 (CVPR, 2016)

Fuzzy String Matching Using Sentence Embedding Algorithms. - Yu Rong 003; Xiaolin Hu 001 (ICONIP (3), 2016)

UnrealStereo: A Synthetic Dataset for Analyzing Stereo Vision. - Yi Zhang 099; Weichao Qiu; Qi Chen; Xiaolin Hu 001; Alan L. Yuille (CoRR, 2016)

Solving the K-shortest paths problem in timetable-based public transportation systems. - Shuai Wang; Yang Yang; Xiaolin Hu 001; Jianmin Li 001; Bingji Xu (J. Intell. Transp. Syst., 2016)

Guest Editorial Special Issue on Neurodynamic Systems for Optimization and Applications. - Zhigang Zeng; Andrzej Cichocki; Long Cheng 001; Youshen Xia; Xiaolin Hu 001 (IEEE Trans. Neural Networks Learn. Syst., 2016)

Scale-Aware Face Detection. - Zekun Hao; Yu Liu 015; Hongwei Qin; Junjie Yan; Xiu Li 001; Xiaolin Hu 001 (CVPR, 2017)

Training the Hopfield Neural Network for Classification Using a STDP-Like Rule. - Xiaolin Hu 001; Tao Wang 003 (ICONIP (3), 2017)

An STDP-Based Supervised Learning Algorithm for Spiking Neural Networks. - Zhanhao Hu; Tao Wang 003; Xiaolin Hu 001 (ICONIP (2), 2017)

Delving deeper into convolutional neural networks for camera relocalization. - Jian Wu; Liwei Ma; Xiaolin Hu 001 (ICRA, 2017)

Accelerating convolutional neural networks by group-wise 2D-filter pruning. - Niange Yu; Shi Qiu; Xiaolin Hu 001; Jianmin Li 001 (IJCNN, 2017)

Reservoir Computing with a Small-World Network for Discriminating Two Sequential Stimuli. - Ke Bai; Fangzhou Liao; Xiaolin Hu 001 (ISNN (1), 2017)

Gated Recurrent Convolution Neural Network for OCR. - Jianfeng Wang; Xiaolin Hu 001 (NIPS, 2017)

Discovering Adversarial Examples with Momentum. - Yinpeng Dong; Fangzhou Liao; Tianyu Pang; Xiaolin Hu 001; Jun Zhu 001 (CoRR, 2017)

Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky Noisy-or Network. - Fangzhou Liao; Ming Liang; Zhe Li 002; Xiaolin Hu 001; Sen Song (CoRR, 2017)

Convolution Neural Networks With Two Pathways for Image Style Recognition. - Tiancheng Sun; Yulong Wang; Jian Yang 003; Xiaolin Hu 001 (IEEE Trans. Image Process., 2017)

UnrealStereo: Controlling Hazardous Factors to Analyze Stereo Vision. - Yi Zhang 099; Weichao Qiu; Qi Chen; Xiaolin Hu 001; Alan L. Yuille (3DV, 2018)

Boosting Adversarial Attacks With Momentum. - Yinpeng Dong; Fangzhou Liao; Tianyu Pang; Hang Su 006; Jun Zhu 001; Xiaolin Hu 001; Jianguo Li (CVPR, 2018)

Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser. - Fangzhou Liao; Ming Liang; Yinpeng Dong; Tianyu Pang; Xiaolin Hu 001; Jun Zhu 001 (CVPR, 2018)

Interpret Neural Networks by Identifying Critical Data Routing Paths. - Yulong Wang; Hang Su 006; Bo Zhang 010; Xiaolin Hu 001 (CVPR, 2018)

Adversarial Attacks and Defences Competition. - Alexey Kurakin; Ian J. Goodfellow; Samy Bengio; Yinpeng Dong; Fangzhou Liao; Ming Liang; Tianyu Pang; Jun Zhu 001; Xiaolin Hu 001; Cihang Xie; Jianyu Wang 001; Zhishuai Zhang; et al. (CoRR, 2018)

Understanding the Disharmony Between Dropout and Batch Normalization by Variance Shift. - Xiang Li 041; Shuo Chen 003; Xiaolin Hu 001; Jian Yang 003 (CVPR, 2019)

Selective Kernel Networks. - Xiang Li 041; Wenhai Wang; Xiaolin Hu 001; Jian Yang 003 (CVPR, 2019)

Learning Sparse Hidden States in Long Short-Term Memory. - Niange Yu; Cornelius Weber; Xiaolin Hu 001 (ICANN (2), 2019)

Knowledge Distillation via Route Constrained Optimization. - Xiao Jin; Baoyun Peng; Yichao Wu; Yu Liu 015; Jiaheng Liu; Ding Liang; Junjie Yan; Xiaolin Hu 001 (ICCV, 2019)

Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization. - Chufeng Tang; Lu Sheng; Zhaoxiang Zhang 001; Xiaolin Hu 001 (ICCV, 2019)

Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks. - Xiang Li 041; Xiaolin Hu 001; Jian Yang 003 (CoRR, 2019)

A Semantics-Assisted Video Captioning Model Trained with Scheduled Sampling. - Haoran Chen; Ke Lin; Alexander Maye; Jianming Li; Xiaolin Hu 001 (CoRR, 2019)

Interpretable Disentanglement of Neural Networks by Extracting Class-Specific Subnetwork. - Yulong Wang; Xiaolin Hu 001; Hang Su 006 (CoRR, 2019)

A hierarchical sparse coding model predicts acoustic feature encoding in both auditory midbrain and cortex. - Qingtian Zhang; Xiaolin Hu 001; Bo Hong; Bo Zhang 010 (PLoS Comput. Biol., 2019)

Hierarchical Bayesian Inference and Learning in Spiking Neural Networks. - Shangqi Guo; Zhaofei Yu; Fei Deng 001; Xiaolin Hu 001; Feng Chen 007 (IEEE Trans. Cybern., 2019)

Estimation of the Volume of the Left Ventricle From MRI Images Using Deep Neural Networks. - Fangzhou Liao; Xi Chen; Xiaolin Hu 001; Sen Song (IEEE Trans. Cybern., 2019)

Topic-Oriented Image Captioning Based on Order-Embedding. - Niange Yu; Xiaolin Hu 001; Binheng Song; Jian Yang 003; Jianwei Zhang 001 (IEEE Trans. Image Process., 2019)

Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network. - Fangzhou Liao; Ming Liang; Zhe Li 002; Xiaolin Hu 001; Sen Song (IEEE Trans. Neural Networks Learn. Syst., 2019)

Dynamic Network Pruning with Interpretable Layerwise Channel Selection. - Yulong Wang; Xiaolu Zhang; Xiaolin Hu 001; Bo Zhang 010; Hang Su 006 (AAAI, 2020)

Pruning from Scratch. - Yulong Wang; Xiaolu Zhang; Lingxi Xie; Jun Zhou 011; Hang Su 006; Bo Zhang 010; Xiaolin Hu 001 (AAAI, 2020)

Online Knowledge Distillation via Collaborative Learning. - Qiushan Guo; Xinjiang Wang; Yichao Wu; Zhipeng Yu; Ding Liang; Xiaolin Hu 001; Ping Luo 002 (CVPR, 2020)

Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition. - Yudong Wu; Yichao Wu; Ruihao Gong; Yuanhao Lv; Ken Chen; Ding Liang; Xiaolin Hu 001; Xianglong Liu 001; Junjie Yan (CVPR, 2020)

Delving Deeper into the Decoder for Video Captioning. - Haoran Chen; Jianmin Li 001; Xiaolin Hu 001 (ECAI, 2020)

Boosting Decision-Based Black-Box Adversarial Attacks with Random Sign Flip. - Weilun Chen; Zhaoxiang Zhang 001; Xiaolin Hu 001; Baoyuan Wu (ECCV (15), 2020)

Dynamic Multi-path Neural Network. - Yingcheng Su; Yichao Wu; Ken Chen; Ding Liang; Xiaolin Hu 001 (ICPR, 2020)

6D Object Pose Regression via Supervised Learning on Point Clouds. - Ge Gao; Mikko Lauri; Yulong Wang; Xiaolin Hu 001; Jianwei Zhang 001; Simone Frintrop (ICRA, 2020)

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection. - Xiang Li 041; Wenhai Wang; Lijun Wu; Shuo Chen 003; Xiaolin Hu 001; Jun Li 027; Jinhui Tang 001; Jian Yang 003 (NeurIPS, 2020)

Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning. - Tianren Zhang; Shangqi Guo; Tian Tan 003; Xiaolin Hu 001; Feng Chen 007 (NeurIPS, 2020)

Companion Guided Soft Margin for Face Recognition. - Yingcheng Su; Yichao Wu; Zhenmao Li; Qiushan Guo; Ken Chen; Junjie Yan; Ding Liang; Xiaolin Hu 001 (ECML/PKDD (3), 2020)

PopMNet: Generating structured pop music melodies using neural networks. - Jian Wu; Xiaoguang Liu; Xiaolin Hu 001; Jun Zhu 001 (Artif. Intell., 2020)

A Semantics-Assisted Video Captioning Model Trained With Scheduled Sampling. - Haoran Chen; Ke Lin; Alexander Maye; Jianmin Li 001; Xiaolin Hu 001 (Frontiers Robotics AI, 2020)

A Hierarchical Recurrent Neural Network for Symbolic Melody Generation. - Jian Wu; Changran Hu; Yulong Wang; Xiaolin Hu 001; Jun Zhu 001 (IEEE Trans. Cybern., 2020)

Interpret Neural Networks by Extracting Critical Subnetworks. - Yulong Wang; Hang Su 006; Bo Zhang 010; Xiaolin Hu 001 (IEEE Trans. Image Process., 2020)

Line-CNN: End-to-End Traffic Line Detection With Line Proposal Unit. - Xiang Li 041; Jun Li 027; Xiaolin Hu 001; Jian Yang 003 (IEEE Trans. Intell. Transp. Syst., 2020)

Learning Reliable Visual Saliency For Model Explanations. - Yulong Wang; Hang Su 006; Bo Zhang 010; Xiaolin Hu 001 (IEEE Trans. Multim., 2020)

Fooling Thermal Infrared Pedestrian Detectors in Real World Using Small Bulbs. - Xiaopei Zhu; Xiao Li 028; Jianmin Li 001; Zheyao Wang; Xiaolin Hu 001 (AAAI, 2021)

Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection. - Xiang Li 041; Wenhai Wang; Xiaolin Hu 001; Jun Li 027; Jinhui Tang 001; Jian Yang 003 (CVPR, 2021)

Look Closer To Segment Better: Boundary Patch Refinement for Instance Segmentation. - Chufeng Tang; Hang Chen; Xiao Li 028; Jianmin Li 001; Zhaoxiang Zhang 001; Xiaolin Hu 001 (CVPR, 2021)

RSG: A Simple but Effective Module for Learning Imbalanced Datasets. - Jianfeng Wang; Thomas Lukasiewicz; Xiaolin Hu 001; Jianfei Cai 001; Zhenghua Xu 001 (CVPR, 2021)

RefineMask: Towards High-Quality Instance Segmentation With Fine-Grained Features. - Gang Zhang; Xin Lu 002; Jingru Tan; Jianmin Li 001; Zhaoxiang Zhang 001; Quanquan Li; Xiaolin Hu 001 (CVPR, 2021)

Attack on Practical Speaker Verification System Using Universal Adversarial Perturbations. - Weiyi Zhang; Shuning Zhao; Le Liu; Jianmin Li 001; Xingliang Cheng; Thomas Fang Zheng; Xiaolin Hu 001 (ICASSP, 2021)

DAM: Discrepancy Alignment Metric for Face Recognition. - Jiaheng Liu; Yudong Wu; Yichao Wu; Chuming Li; Xiaolin Hu 001; Ding Liang; Mengyu Wang (ICCV, 2021)

CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds. - Ge Gao; Mikko Lauri; Xiaolin Hu 001; Jianwei Zhang 001; Simone Frintrop (ICRA, 2021)

Robust Logo Detection in E-Commerce Images by Data Augmentation. - Hang Chen; Xiao Li 028; Zefan Wang; Xiaolin Hu 001 (ACM Multimedia, 2021)

Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network. - Xiaolin Hu 001; Kai Li 047; Weiyi Zhang; Yi Luo; Jean-Marie Lemercier; Timo Gerkmann (NeurIPS, 2021)

Frame Difference-Based Temporal Loss for Video Stylization. - Jianjin Xu; Zheyang Xiong; Xiaolin Hu 001 (CoRR, 2021)

Annotation Cleaning for the MSR-Video to Text Dataset. - Haoran Chen; Jianmin Li 001; Simone Frintrop; Xiaolin Hu 001 (CoRR, 2021)

Rethinking Natural Adversarial Examples for Classification Models. - Xiao Li 028; Jianmin Li 001; Ting Dai; Jie Shi; Jun Zhu 001; Xiaolin Hu 001 (CoRR, 2021)

Vocabulary-Wide Credit Assignment for Training Image Captioning Models. - Han Liu; Shifeng Zhang; Ke Lin; Jing Wen; Jianmin Li 001; Xiaolin Hu 001 (IEEE Trans. Image Process., 2021)

Dense Contrastive Loss for Instance Segmentation. - Hang Chen; Chufeng Tang; Xiaolin Hu 001 (BMVC, 2022)

Adversarial Texture for Fooling Person Detectors in the Physical World. - Zhanhao Hu; Siyuan Huang; Xiaopei Zhu; Fuchun Sun 001; Bo Zhang 010; Xiaolin Hu 001 (CVPR, 2022)

Infrared Invisible Clothing: Hiding from Infrared Detectors at Multiple Angles in Real World. - Xiaopei Zhu; Zhanhao Hu; Siyuan Huang; Jianmin Li 001; Xiaolin Hu 001 (CVPR, 2022)

Active Pointly-Supervised Instance Segmentation. - Chufeng Tang; Lingxi Xie; Gang Zhang; Xiaopeng Zhang 008; Qi Tian 001; Xiaolin Hu 001 (ECCV (28), 2022)

NP-Match: When Neural Processes meet Semi-Supervised Learning. - Jianfeng Wang; Thomas Lukasiewicz; Daniela Massiceti; Xiaolin Hu 001; Vladimir Pavlovic 001; Alexandros Neophytou (ICML, 2022)

On the Use of Deep Mask Estimation Module for Neural Source Separation Systems. - Kai Li 047; Xiaolin Hu 001; Yi Luo (INTERSPEECH, 2022)

Bridging the Gap Between Training and Inference of Bayesian Controllable Language Models. - Han Liu; Bingning Wang; Ting Yao; Haijin Liang; Jianjin Xu; Xiaolin Hu 001 (CoRR, 2022)

The MSR-Video to Text dataset with clean annotations. - Haoran Chen; Jianmin Li 001; Simone Frintrop; Xiaolin Hu 001 (Comput. Vis. Image Underst., 2022)

Improving Image Segmentation with Boundary Patch Refinement. - Xiaolin Hu 001; Chufeng Tang; Hang Chen; Xiao Li 028; Jianmin Li 001; Zhaoxiang Zhang 001 (Int. J. Comput. Vis., 2022)

Amplification trojan network: Attack deep neural networks by amplifying their inherent weakness. - Zhanhao Hu; Jun Zhu 001; Bo Zhang 010; Xiaolin Hu 001 (Neurocomputing, 2022)

Bridging the Functional and Wiring Properties of V1 Neurons Through Sparse Coding. - Xiaolin Hu 001; Zhigang Zeng (Neural Comput., 2022)

Inferring Mechanisms of Auditory Attentional Modulation with Deep Neural Networks. - Ting-Yu Kuo; Yuanda Liao; Kai Li 047; Bo Hong; Xiaolin Hu 001 (Neural Comput., 2022)

State-Temporal Compression in Reinforcement Learning With the Reward-Restricted Geodesic Metric. - Shangqi Guo; Qi Yan 005; Xin Su; Xiaolin Hu 001; Feng Chen 007 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Convolutional Neural Networks With Gated Recurrent Connections. - Jianfeng Wang; Xiaolin Hu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling. - Zhanhao Hu; Wenda Chu; Xiaopei Zhu; Hui Zhang; Bo Zhang 010; Xiaolin Hu 001 (CVPR, 2023)

Visual Recognition by Request. - Chufeng Tang; Lingxi Xie; Xiaopeng Zhang 008; Xiaolin Hu 001; Qi Tian 001 (CVPR, 2023)

An efficient encoder-decoder architecture with top-down attention for speech separation. - Kai Li 047; Runxuan Yang; Xiaolin Hu 001 (ICLR, 2023)

NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation. - Jianfeng Wang; Daniela Massiceti; Xiaolin Hu 001; Vladimir Pavlovic 001; Thomas Lukasiewicz (ICML, 2023)

Audio-Visual Speech Separation in Noisy Environments with a Lightweight Iterative Model. - Héctor Martel; Julius Richter; Kai Li 047; Xiaolin Hu 001; Timo Gerkmann (INTERSPEECH, 2023)

HEDNet: A Hierarchical Encoder-Decoder Network for 3D Object Detection in Point Clouds. - Gang Zhang; Junnan Chen; Guohuan Gao; Jianmin Li 001; Xiaolin Hu 001 (NeurIPS, 2023)

NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning. - Jianfeng Wang; Xiaolin Hu 001; Thomas Lukasiewicz (CoRR, 2023)

CFNet: Cascade Fusion Network for Dense Prediction. - Gang Zhang; Ziyi Li; Jianmin Li 001; Xiaolin Hu 001 (CoRR, 2023)

MIXPGD: Hybrid Adversarial Training for Speech Recognition Systems. - Aminul Huq; Weiyi Zhang; Xiaolin Hu 001 (CoRR, 2023)

SCANet: A Self- and Cross-Attention Network for Audio-Visual Speech Separation. - Kai Li 047; Runxuan Yang; Xiaolin Hu 001 (CoRR, 2023)

A Fast High-Fidelity Source-Filter Vocoder With Lightweight Neural Modules. - Runxuan Yang; Yuyang Peng; Xiaolin Hu 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Adjacency Constraint for Efficient Hierarchical Reinforcement Learning. - Tianren Zhang; Shangqi Guo; Tian Tan 003; Xiaolin Hu 001; Feng Chen 007 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Recognizing Object by Components With Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks. - Xiao Li 028; Ziqi Wang 003; Bo Zhang 010; Fuchun Sun 001; Xiaolin Hu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Extracting Semantic Knowledge From GANs With Unsupervised Learning. - Jianjin Xu; Zhaoxiang Zhang 001; Xiaolin Hu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Hiding from infrared detectors in real world with adversarial clothes. - Xiaopei Zhu; Zhanhao Hu; Siyuan Huang; Jianmin Li 001; Xiaolin Hu 001; Zheyao Wang (Appl. Intell., 2023)

Focal Distillation From High-Resolution Data to Low-Resolution Data for 3D Object Detection. - Jiawei Shan; Gang Zhang; Chufeng Tang; Hujie Pan; Qiankun Yu; Guanhao Wu; Xiaolin Hu 001 (IEEE Trans. Intell. Transp. Syst., 2023)

Language-Driven Anchors for Zero-Shot Adversarial Robustness. - Xiao Li 028; Wei Zhang; Yining Liu; Zhanhao Hu; Bo Zhang 010; Xiaolin Hu 001 (CVPR, 2024)

SAFDNet: A Simple and Effective Network for Fully Sparse 3D Object Detection. - Gang Zhang; Junnan Chen; Guohuan Gao; Jianmin Li 001; Si Liu 001; Xiaolin Hu 001 (CVPR, 2024)

Infrared Adversarial Car Stickers. - Xiaopei Zhu; Yuqiu Liu; Zhanhao Hu; Jianmin Li 001; Xiaolin Hu 001 (CVPR, 2024)

Controllable Navigation Instruction Generation with Chain of Thought Prompting. - Xianghao Kong; Jinyu Chen; Wenguan Wang; Hang Su 006; Xiaolin Hu 001; Yi Yang 001; Si Liu 001 (ECCV (29), 2024)

PartImageNet++ Dataset: Scaling Up Part-Based Models for Robust Recognition. - Xiao Li 028; Yining Liu; Na Dong; Sitian Qin; Xiaolin Hu 001 (ECCV (71), 2024)

RTFS-Net: Recurrent Time-Frequency Modelling for Efficient Audio-Visual Speech Separation. - Samuel Pegg; Kai Li 047; Xiaolin Hu 001 (ICLR, 2024)

IIANet: An Intra- and Inter-Modality Attention Network for Audio-Visual Speech Separation. - Kai Li 047; Runxuan Yang; Fuchun Sun 001; Xiaolin Hu 001 (ICML, 2024)

CSFuser: A Cascade Siamese Fusion Architecture for RGB-Infrared Object Detection. - Ziyi Li; Gang Zhang; Zhigang Zeng; Xiaolin Hu 001 (ISNN, 2024)

Improve Adversarial Robustness of MNIST Classification via Topological Data Analysis. - Yining Liu; Xiao Li 028; Sitian Qin; Xiaolin Hu 001 (ISNN, 2024)

nuScenesComplex: A More Rigorous Evaluation Framework for End-to-End Autonomous Driving Planning. - Dung Nguyen; Gang Zhang; Hujie Pan; Xiaolin Hu 001 (ISNN, 2024)

PhonHuBERT: A Phoneme Transcription Tool for Song Datasets. - Amaury Prat; Runxuan Yang; Xiaolin Hu 001 (ISNN, 2024)

Natural Language Induced Adversarial Images. - Xiaopei Zhu; Peiyang Xu; Guanning Zeng; Yinpeng Dong; Xiaolin Hu 001 (ACM Multimedia, 2024)

CooHOI: Learning Cooperative Human-Object Interaction with Manipulated Object Dynamics. - Jiawei Gao 004; Ziqin Wang; Zeqi Xiao; Jingbo Wang 003; Tai Wang; Jinkun Cao; Xiaolin Hu 001; Si Liu 001; Jifeng Dai; Jiangmiao Pang (NeurIPS, 2024)

Full-Distance Evasion of Pedestrian Detectors in the Physical World. - Zhi Cheng; Zhanhao Hu; Yuqiu Liu; Jianmin Li 001; Hang Su 006; Xiaolin Hu 001 (NeurIPS, 2024)

TDFNet: An Efficient Audio-Visual Speech Separation Model with Top-down Fusion. - Samuel Pegg; Kai Li 047; Xiaolin Hu 001 (CoRR, 2024)

Accurate and Reliable Predictions with Mutual-Transport Ensemble. - Han Liu; Peng Cui 007; Bingning Wang; Jun Zhu 001; Xiaolin Hu 001 (CoRR, 2024)

Full-ECE: A Metric For Token-level Calibration on Large Language Models. - Han Liu; Yupeng Zhang; Bingning Wang; Weipeng Chen; Xiaolin Hu 001 (CoRR, 2024)

Perfect Gradient Inversion in Federated Learning: A New Paradigm from the Hidden Subset Sum Problem. - Qiongxiu Li; Lixia Luo; Agnese Gini; Changlong Ji; Zhanhao Hu; Xiao Li 028; Chengfang Fang; Jie Shi; Xiaolin Hu 001 (CoRR, 2024)

Natural Language Induced Adversarial Images. - Xiaopei Zhu; Peiyang Xu; Guanning Zeng; Yingpeng Dong; Xiaolin Hu 001 (CoRR, 2024)

DHS-DETR: Efficient DETRs with dynamic head switching. - Hang Chen; Chufeng Tang; Xiaolin Hu 001 (Comput. Vis. Image Underst., 2024)

On the Privacy Effect of Data Enhancement via the Lens of Memorization. - Xiao Li 028; Qiongxiu Li; Zhanhao Hu; Xiaolin Hu 001 (IEEE Trans. Inf. Forensics Secur., 2024)

Hiding from thermal imaging pedestrian detectors in the physical world. - Xiaopei Zhu; Xiao Li 028; Jianmin Li 001; Zheyao Wang; Xiaolin Hu 001 (Neurocomputing, 2024)

An Audio-Visual Speech Separation Model Inspired by Cortico-Thalamo-Cortical Circuits. - Kai Li 047; Fenghua Xie; Hang Chen; Kexin Yuan; Xiaolin Hu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Improving Accuracy and Calibration via Differentiated Deep Mutual Learning. - Han Liu; Peng Cui 007; Bingning Wang; Weipeng Chen; Yupeng Zhang; Jun Zhu 001; Xiaolin Hu 001 (CVPR, 2025)

Efficient Neuron Segmentation in Electron Microscopy by Affinity-Guided Queries. - Hang Chen; Chufeng Tang; Xiao Li 028; Xiaolin Hu 001 (ICLR, 2025)

CEDNet: A cascade encoder-decoder network for dense prediction. - Gang Zhang; Ziyi Li; Chufeng Tang; Jianmin Li 001; Xiaolin Hu 001 (Pattern Recognit., 2025)

On the Importance of Backbone to the Adversarial Robustness of Object Detectors. - Xiao Li 028; Hang Chen; Xiaolin Hu 001 (IEEE Trans. Inf. Forensics Secur., 2025)

LLaVA-CMoE: Towards Continual Mixture of Experts for Large Vision-Language Models. - Hengyuan Zhao; Ziqin Wang; Qixin Sun; Kaiyou Song; Yilin Li; Xiaolin Hu 001; Qingpei Guo; Si Liu 001 (CoRR, 2025)

Crafting Physical Adversarial Examples by Combining Differentiable and Physically Based Renders. - Yuqiu Liu; Huanqian Yan; Xiaopei Zhu; Xiaolin Hu 001; Liang Tang; Hang Su 006; Chen Lv (CoRR, 2025)

Surrogate Signals from Format and Length: Reinforcement Learning for Solving Mathematical Problems without Ground Truth Answers. - Rihui Xin; Han Liu; Zecheng Wang; Yupeng Zhang; Dianbo Sui; Xiaolin Hu 001; Bingning Wang (CoRR, 2025)

Enhancing Spectrogram Realism in Singing Voice Synthesis via Explicit Bandwidth Extension Prior to Vocoder. - Runxuan Yang; Kai Li 047; Guo Chen; Xiaolin Hu 001 (CoRR, 2025)