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ORCIDXiaolin Hu 0001
Person information
- affiliation: Tsinghua University, Department of Computer Science and Technology, Beijing, China
- affiliation (PhD 2007): Chinese University of Hong Kong, Department of Mechanical and Automation Engineering, Hong Kong
Other persons with the same name
- Xiaolin Hu — disambiguation page
- Xiaolin Hu 0002
![[0000-0001-9359-268X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-9359-268X")
— Georgia State University, Atlanta, GA, USA
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2020 – today
- 2025
[j48]Gang Zhang, Ziyi Li, Chufeng Tang, Jianmin Li, Xiaolin Hu:
CEDNet: A cascade encoder-decoder network for dense prediction. Pattern Recognit. 158: 111072 (2025)- [j47]Xiao Li, Hang Chen, Xiaolin Hu:
On the Importance of Backbone to the Adversarial Robustness of Object Detectors. IEEE Trans. Inf. Forensics Secur. 20: 2387-2398 (2025) - 2024
- [j46]Hang Chen, Chufeng Tang, Xiaolin Hu:
DHS-DETR: Efficient DETRs with dynamic head switching. Comput. Vis. Image Underst. 248: 104106 (2024) - [j45]Xiaopei Zhu, Xiao Li, Jianmin Li, Zheyao Wang, Xiaolin Hu:
Hiding from thermal imaging pedestrian detectors in the physical world. Neurocomputing 564: 126923 (2024) - [j44]Kai Li, Fenghua Xie, Hang Chen, Kexin Yuan, Xiaolin Hu:
An Audio-Visual Speech Separation Model Inspired by Cortico-Thalamo-Cortical Circuits. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6637-6651 (2024) - [j43]Xiao Li, Qiongxiu Li, Zhanhao Hu, Xiaolin Hu:
On the Privacy Effect of Data Enhancement via the Lens of Memorization. IEEE Trans. Inf. Forensics Secur. 19: 4686-4699 (2024) - [c81]Gang Zhang, Junnan Chen, Guohuan Gao, Jianmin Li, Si Liu, Xiaolin Hu:
SAFDNet: A Simple and Effective Network for Fully Sparse 3D Object Detection. CVPR 2024: 14477-14486 - [c80]Xiaopei Zhu, Yuqiu Liu, Zhanhao Hu, Jianmin Li, Xiaolin Hu:
Infrared Adversarial Car Stickers. CVPR 2024: 24284-24293 - [c79]Xiao Li, Wei Zhang, Yining Liu, Zhanhao Hu, Bo Zhang, Xiaolin Hu:
Language-Driven Anchors for Zero-Shot Adversarial Robustness. CVPR 2024: 24686-24695 - [c78]Xianghao Kong, Jinyu Chen, Wenguan Wang, Hang Su, Xiaolin Hu, Yi Yang, Si Liu:
Controllable Navigation Instruction Generation with Chain of Thought Prompting. ECCV (29) 2024: 37-54 - [c77]Xiao Li, Yining Liu, Na Dong, Sitian Qin, Xiaolin Hu:
PartImageNet++ Dataset: Scaling Up Part-Based Models for Robust Recognition. ECCV (71) 2024: 396-414 - [c76]Samuel Pegg, Kai Li, Xiaolin Hu:
RTFS-Net: Recurrent Time-Frequency Modelling for Efficient Audio-Visual Speech Separation. ICLR 2024 - [c75]Kai Li, Runxuan Yang, Fuchun Sun, Xiaolin Hu:
IIANet: An Intra- and Inter-Modality Attention Network for Audio-Visual Speech Separation. ICML 2024 - [c74]Amaury Prat, Runxuan Yang, Xiaolin Hu:
PhonHuBERT: A Phoneme Transcription Tool for Song Datasets. ISNN 2024: 123-132 - [c73]Yining Liu, Xiao Li, Sitian Qin, Xiaolin Hu:
Improve Adversarial Robustness of MNIST Classification via Topological Data Analysis. ISNN 2024: 143-152 - [c72]Ziyi Li, Gang Zhang, Zhigang Zeng, Xiaolin Hu:
CSFuser: A Cascade Siamese Fusion Architecture for RGB-Infrared Object Detection. ISNN 2024: 174-185 - [c71]Dung Nguyen, Gang Zhang, Hujie Pan, Xiaolin Hu:
nuScenesComplex: A More Rigorous Evaluation Framework for End-to-End Autonomous Driving Planning. ISNN 2024: 482-491 - [c70]Xiaopei Zhu, Peiyang Xu, Guanning Zeng, Yinpeng Dong, Xiaolin Hu:
Natural Language Induced Adversarial Images. ACM Multimedia 2024: 10872-10881 - [c69]Jiawei Gao, Ziqin Wang, Zeqi Xiao, Jingbo Wang, Tai Wang, Jinkun Cao, Xiaolin Hu, Si Liu, Jifeng Dai, Jiangmiao Pang:
CooHOI: Learning Cooperative Human-Object Interaction with Manipulated Object Dynamics. NeurIPS 2024 - [c68]Zhi Cheng, Zhanhao Hu, Yuqiu Liu, Jianmin Li, Hang Su, Xiaolin Hu:
Full-Distance Evasion of Pedestrian Detectors in the Physical World. NeurIPS 2024 - [i68]Samuel Pegg, Kai Li, Xiaolin Hu:
TDFNet: An Efficient Audio-Visual Speech Separation Model with Top-down Fusion. CoRR abs/2401.14185 (2024) - [i67]Gang Zhang, Junnan Chen, Guohuan Gao, Jianmin Li, Si Liu, Xiaolin Hu:
SAFDNet: A Simple and Effective Network for Fully Sparse 3D Object Detection. CoRR abs/2403.05817 (2024) - [i66]Xiaopei Zhu, Yuqiu Liu, Zhanhao Hu, Jianmin Li, Xiaolin Hu:
Infrared Adversarial Car Stickers. CoRR abs/2405.09924 (2024) - [i65]Han Liu, Peng Cui, Bingning Wang, Jun Zhu, Xiaolin Hu:
Accurate and Reliable Predictions with Mutual-Transport Ensemble. CoRR abs/2405.19656 (2024) - [i64]Jiawei Gao, Ziqin Wang, Zeqi Xiao, Jingbo Wang, Tai Wang, Jinkun Cao, Xiaolin Hu, Si Liu, Jifeng Dai, Jiangmiao Pang:
CooHOI: Learning Cooperative Human-Object Interaction with Manipulated Object Dynamics. CoRR abs/2406.14558 (2024) - [i63]Xianghao Kong, Jinyu Chen, Wenguan Wang, Hang Su, Xiaolin Hu, Yi Yang, Si Liu:
Controllable Navigation Instruction Generation with Chain of Thought Prompting. CoRR abs/2407.07433 (2024) - [i62]Xiao Li, Yining Liu, Na Dong, Sitian Qin, Xiaolin Hu:
PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition. CoRR abs/2407.10918 (2024) - [i61]Qiongxiu Li, Lixia Luo, Agnese Gini, Changlong Ji, Zhanhao Hu, Xiao Li, Chengfang Fang, Jie Shi, Xiaolin Hu:
Perfect Gradient Inversion in Federated Learning: A New Paradigm from the Hidden Subset Sum Problem. CoRR abs/2409.14260 (2024) - [i60]Xiaopei Zhu, Peiyang Xu, Guanning Zeng, Yingpeng Dong, Xiaolin Hu:
Natural Language Induced Adversarial Images. CoRR abs/2410.08620 (2024) - 2023
- [j42]Xiaopei Zhu, Zhanhao Hu, Siyuan Huang, Jianmin Li, Xiaolin Hu, Zheyao Wang:
Hiding from infrared detectors in real world with adversarial clothes. Appl. Intell. 53(23): 29537-29555 (2023) - [j41]Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen:
Adjacency Constraint for Efficient Hierarchical Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4152-4166 (2023) - [j40]Xiao Li, Ziqi Wang, Bo Zhang, Fuchun Sun, Xiaolin Hu:
Recognizing Object by Components With Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8861-8873 (2023) - [j39]Jianjin Xu, Zhaoxiang Zhang, Xiaolin Hu:
Extracting Semantic Knowledge From GANs With Unsupervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9654-9668 (2023) - [j38]Runxuan Yang, Yuyang Peng, Xiaolin Hu:
A Fast High-Fidelity Source-Filter Vocoder With Lightweight Neural Modules. IEEE ACM Trans. Audio Speech Lang. Process. 31: 3362-3373 (2023) - [j37]Jiawei Shan, Gang Zhang, Chufeng Tang, Hujie Pan, Qiankun Yu, Guanhao Wu, Xiaolin Hu:
Focal Distillation From High-Resolution Data to Low-Resolution Data for 3D Object Detection. IEEE Trans. Intell. Transp. Syst. 24(12): 14064-14075 (2023) - [c67]Chufeng Tang, Lingxi Xie, Xiaopeng Zhang, Xiaolin Hu, Qi Tian:
Visual Recognition by Request. CVPR 2023: 15265-15274 - [c66]Zhanhao Hu, Wenda Chu, Xiaopei Zhu, Hui Zhang, Bo Zhang, Xiaolin Hu:
Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling. CVPR 2023: 16975-16984 - [c65]Kai Li, Runxuan Yang, Xiaolin Hu:
An efficient encoder-decoder architecture with top-down attention for speech separation. ICLR 2023 - [c64]Jianfeng Wang, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Thomas Lukasiewicz:
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation. ICML 2023: 36138-36156 - [c63]Héctor Martel, Julius Richter, Kai Li, Xiaolin Hu, Timo Gerkmann:
Audio-Visual Speech Separation in Noisy Environments with a Lightweight Iterative Model. INTERSPEECH 2023: 1673-1677 - [c62]Gang Zhang, Junnan Chen, Guohuan Gao, Jianmin Li, Xiaolin Hu:
HEDNet: A Hierarchical Encoder-Decoder Network for 3D Object Detection in Point Clouds. NeurIPS 2023 - [i59]Xiao Li, Wei Zhang, Yining Liu, Zhanhao Hu, Bo Zhang, Xiaolin Hu:
Language-Driven Anchors for Zero-Shot Adversarial Robustness. CoRR abs/2301.13096 (2023) - [i58]Jianfeng Wang, Xiaolin Hu, Thomas Lukasiewicz:
NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning. CoRR abs/2301.13569 (2023) - [i57]Gang Zhang, Ziyi Li, Jianmin Li, Xiaolin Hu:
CFNet: Cascade Fusion Network for Dense Prediction. CoRR abs/2302.06052 (2023) - [i56]Aminul Huq, Weiyi Zhang, Xiaolin Hu:
MIXPGD: Hybrid Adversarial Training for Speech Recognition Systems. CoRR abs/2303.05758 (2023) - [i55]Xiao Li, Hang Chen, Xiaolin Hu:
On the Importance of Backbone to the Adversarial Robustness of Object Detectors. CoRR abs/2305.17438 (2023) - [i54]Zhanhao Hu, Jun Zhu, Bo Zhang, Xiaolin Hu:
Amplification trojan network: Attack deep neural networks by amplifying their inherent weakness. CoRR abs/2305.17688 (2023) - [i53]Héctor Martel, Julius Richter, Kai Li, Xiaolin Hu, Timo Gerkmann:
Audio-Visual Speech Separation in Noisy Environments with a Lightweight Iterative Model. CoRR abs/2306.00160 (2023) - [i52]Zhanhao Hu, Wenda Chu, Xiaopei Zhu, Hui Zhang, Bo Zhang, Xiaolin Hu:
Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling. CoRR abs/2307.01778 (2023) - [i51]Jianfeng Wang, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Thomas Lukasiewicz:
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation. CoRR abs/2308.02866 (2023) - [i50]Kai Li, Runxuan Yang, Xiaolin Hu:
SCANet: A Self- and Cross-Attention Network for Audio-Visual Speech Separation. CoRR abs/2308.08143 (2023) - [i49]Samuel Pegg, Kai Li, Xiaolin Hu:
RTFS-Net: Recurrent time-frequency modelling for efficient audio-visual speech separation. CoRR abs/2309.17189 (2023) - [i48]Gang Zhang, Junnan Chen, Guohuan Gao, Jianmin Li, Xiaolin Hu:
HEDNet: A Hierarchical Encoder-Decoder Network for 3D Object Detection in Point Clouds. CoRR abs/2310.20234 (2023) - 2022
- [j36]Haoran Chen, Jianmin Li, Simone Frintrop, Xiaolin Hu:
The MSR-Video to Text dataset with clean annotations. Comput. Vis. Image Underst. 225: 103581 (2022) - [j35]Xiaolin Hu, Chufeng Tang, Hang Chen, Xiao Li, Jianmin Li, Zhaoxiang Zhang:
Improving Image Segmentation with Boundary Patch Refinement. Int. J. Comput. Vis. 130(11): 2571-2589 (2022) - [j34]Zhanhao Hu, Jun Zhu, Bo Zhang, Xiaolin Hu:
Amplification trojan network: Attack deep neural networks by amplifying their inherent weakness. Neurocomputing 505: 142-153 (2022) - [j33]Xiaolin Hu, Zhigang Zeng:
Bridging the Functional and Wiring Properties of V1 Neurons Through Sparse Coding. Neural Comput. 34(1): 104-137 (2022) - [j32]Ting-Yu Kuo, Yuanda Liao, Kai Li, Bo Hong, Xiaolin Hu:
Inferring Mechanisms of Auditory Attentional Modulation with Deep Neural Networks. Neural Comput. 34(11): 2273-2293 (2022) - [j31]Jianfeng Wang, Xiaolin Hu:
Convolutional Neural Networks With Gated Recurrent Connections. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3421-3435 (2022) - [j30]Shangqi Guo, Qi Yan, Xin Su, Xiaolin Hu, Feng Chen:
State-Temporal Compression in Reinforcement Learning With the Reward-Restricted Geodesic Metric. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5572-5589 (2022) - [c61]Hang Chen, Chufeng Tang, Xiaolin Hu:
Dense Contrastive Loss for Instance Segmentation. BMVC 2022: 1062 - [c60]Zhanhao Hu, Siyuan Huang, Xiaopei Zhu, Fuchun Sun, Bo Zhang, Xiaolin Hu:
Adversarial Texture for Fooling Person Detectors in the Physical World. CVPR 2022: 13297-13306 - [c59]Xiaopei Zhu, Zhanhao Hu, Siyuan Huang, Jianmin Li, Xiaolin Hu:
Infrared Invisible Clothing: Hiding from Infrared Detectors at Multiple Angles in Real World. CVPR 2022: 13307-13316 - [c58]Chufeng Tang, Lingxi Xie, Gang Zhang, Xiaopeng Zhang, Qi Tian, Xiaolin Hu:
Active Pointly-Supervised Instance Segmentation. ECCV (28) 2022: 606-623 - [c57]Jianfeng Wang, Thomas Lukasiewicz, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Alexandros Neophytou:
NP-Match: When Neural Processes meet Semi-Supervised Learning. ICML 2022: 22919-22934 - [c56]Kai Li, Xiaolin Hu, Yi Luo:
On the Use of Deep Mask Estimation Module for Neural Source Separation Systems. INTERSPEECH 2022: 5328-5332 - [i47]Zhanhao Hu, Siyuan Huang, Xiaopei Zhu, Xiaolin Hu, Fuchun Sun, Bo Zhang:
Adversarial Texture for Fooling Person Detectors in the Physical World. CoRR abs/2203.03373 (2022) - [i46]Zhanhao Hu, Tao Wang, Xiaolin Hu:
An STDP-Based Supervised Learning Algorithm for Spiking Neural Networks. CoRR abs/2203.03379 (2022) - [i45]Xiaopei Zhu, Zhanhao Hu, Siyuan Huang, Jianmin Li, Xiaolin Hu:
Infrared Invisible Clothing: Hiding from Infrared Detectors at Multiple Angles in Real World. CoRR abs/2205.05909 (2022) - [i44]Han Liu, Bingning Wang, Ting Yao, Haijin Liang, Jianjin Xu, Xiaolin Hu:
Bridging the Gap Between Training and Inference of Bayesian Controllable Language Models. CoRR abs/2206.05519 (2022) - [i43]Kai Li, Xiaolin Hu, Yi Luo:
On the Use of Deep Mask Estimation Module for Neural Source Separation Systems. CoRR abs/2206.07347 (2022) - [i42]Jianfeng Wang, Thomas Lukasiewicz, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Alexandros Neophytou:
NP-Match: When Neural Processes meet Semi-Supervised Learning. CoRR abs/2207.01066 (2022) - [i41]Chufeng Tang, Lingxi Xie, Gang Zhang, Xiaopeng Zhang, Qi Tian, Xiaolin Hu:
Active Pointly-Supervised Instance Segmentation. CoRR abs/2207.11493 (2022) - [i40]Chufeng Tang, Lingxi Xie, Xiaopeng Zhang, Xiaolin Hu, Qi Tian:
Visual Recognition by Request. CoRR abs/2207.14227 (2022) - [i39]Xiao Li, Qiongxiu Li, Zhanhao Hu, Xiaolin Hu:
On the Privacy Effect of Data Enhancement via the Lens of Memorization. CoRR abs/2208.08270 (2022) - [i38]Kai Li, Runxuan Yang, Xiaolin Hu:
An efficient encoder-decoder architecture with top-down attention for speech separation. CoRR abs/2209.15200 (2022) - [i37]Jianjin Xu, Zhaoxiang Zhang, Xiaolin Hu:
Extracting Semantic Knowledge from GANs with Unsupervised Learning. CoRR abs/2211.16710 (2022) - [i36]Xiao Li, Ziqi Wang, Bo Zhang, Fuchun Sun, Xiaolin Hu:
Recognizing Object by Components with Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks. CoRR abs/2212.01806 (2022) - [i35]Kai Li, Fenghua Xie, Hang Chen, Kexin Yuan, Xiaolin Hu:
An Audio-Visual Speech Separation Model Inspired by Cortico-Thalamo-Cortical Circuits. CoRR abs/2212.10744 (2022) - 2021
- [j29]Han Liu, Shifeng Zhang, Ke Lin, Jing Wen, Jianmin Li, Xiaolin Hu:
Vocabulary-Wide Credit Assignment for Training Image Captioning Models. IEEE Trans. Image Process. 30: 2450-2460 (2021) - [c55]Xiaopei Zhu, Xiao Li, Jianmin Li, Zheyao Wang, Xiaolin Hu:
Fooling Thermal Infrared Pedestrian Detectors in Real World Using Small Bulbs. AAAI 2021: 3616-3624 - [c54]Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Jianfei Cai, Zhenghua Xu:
RSG: A Simple but Effective Module for Learning Imbalanced Datasets. CVPR 2021: 3784-3793 - [c53]Gang Zhang, Xin Lu, Jingru Tan, Jianmin Li, Zhaoxiang Zhang, Quanquan Li, Xiaolin Hu:
RefineMask: Towards High-Quality Instance Segmentation With Fine-Grained Features. CVPR 2021: 6861-6869 - [c52]Xiang Li, Wenhai Wang, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang:
Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection. CVPR 2021: 11632-11641 - [c51]Chufeng Tang, Hang Chen, Xiao Li, Jianmin Li, Zhaoxiang Zhang, Xiaolin Hu:
Look Closer To Segment Better: Boundary Patch Refinement for Instance Segmentation. CVPR 2021: 13926-13935 - [c50]Weiyi Zhang, Shuning Zhao, Le Liu, Jianmin Li, Xingliang Cheng, Thomas Fang Zheng, Xiaolin Hu:
Attack on Practical Speaker Verification System Using Universal Adversarial Perturbations. ICASSP 2021: 2575-2579 - [c49]Jiaheng Liu, Yudong Wu, Yichao Wu, Chuming Li, Xiaolin Hu, Ding Liang, Mengyu Wang:
DAM: Discrepancy Alignment Metric for Face Recognition. ICCV 2021: 3794-3803 - [c48]Ge Gao, Mikko Lauri, Xiaolin Hu, Jianwei Zhang, Simone Frintrop:
CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds. ICRA 2021: 11081-11087 - [c47]Hang Chen, Xiao Li, Zefan Wang, Xiaolin Hu:
Robust Logo Detection in E-Commerce Images by Data Augmentation. ACM Multimedia 2021: 4789-4793 - [c46]Xiaolin Hu, Kai Li, Weiyi Zhang, Yi Luo, Jean-Marie Lemercier, Timo Gerkmann:
Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network. NeurIPS 2021: 22509-22522 - [i34]Xiaopei Zhu, Xiao Li, Jianmin Li, Zheyao Wang, Xiaolin Hu:
Fooling thermal infrared pedestrian detectors in real world using small bulbs. CoRR abs/2101.08154 (2021) - [i33]Jianjin Xu, Zheyang Xiong, Xiaolin Hu:
Frame Difference-Based Temporal Loss for Video Stylization. CoRR abs/2102.05822 (2021) - [i32]Haoran Chen, Jianmin Li, Simone Frintrop, Xiaolin Hu:
Annotation Cleaning for the MSR-Video to Text Dataset. CoRR abs/2102.06448 (2021) - [i31]Xiao Li, Jianmin Li, Ting Dai, Jie Shi, Jun Zhu, Xiaolin Hu:
Rethinking Natural Adversarial Examples for Classification Models. CoRR abs/2102.11731 (2021) - [i30]Ge Gao, Mikko Lauri, Xiaolin Hu, Jianwei Zhang, Simone Frintrop:
CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds. CoRR abs/2103.01977 (2021) - [i29]Chufeng Tang, Hang Chen, Xiao Li, Jianmin Li, Zhaoxiang Zhang, Xiaolin Hu:
Look Closer to Segment Better: Boundary Patch Refinement for Instance Segmentation. CoRR abs/2104.05239 (2021) - [i28]Gang Zhang, Xin Lu, Jingru Tan, Jianmin Li, Zhaoxiang Zhang, Quanquan Li, Xiaolin Hu:
RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features. CoRR abs/2104.08569 (2021) - [i27]Weiyi Zhang, Shuning Zhao, Le Liu, Jianmin Li, Xingliang Cheng, Thomas Fang Zheng, Xiaolin Hu:
Attack on practical speaker verification system using universal adversarial perturbations. CoRR abs/2105.09022 (2021) - [i26]Jianfeng Wang, Xiaolin Hu:
Convolutional Neural Networks with Gated Recurrent Connections. CoRR abs/2106.02859 (2021) - [i25]Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Jianfei Cai, Zhenghua Xu:
RSG: A Simple but Effective Module for Learning Imbalanced Datasets. CoRR abs/2106.09859 (2021) - [i24]Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen:
Adjacency constraint for efficient hierarchical reinforcement learning. CoRR abs/2111.00213 (2021) - [i23]Xiaolin Hu, Kai Li, Weiyi Zhang, Yi Luo, Jean-Marie Lemercier, Timo Gerkmann:
Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network. CoRR abs/2112.02321 (2021) - 2020
- [j28]Jian Wu, Xiaoguang Liu, Xiaolin Hu, Jun Zhu:
PopMNet: Generating structured pop music melodies using neural networks. Artif. Intell. 286: 103303 (2020) - [j27]Haoran Chen, Ke Lin, Alexander Maye, Jianmin Li, Xiaolin Hu:
A Semantics-Assisted Video Captioning Model Trained With Scheduled Sampling. Frontiers Robotics AI 7: 475767 (2020) - [j26]Jian Wu, Changran Hu, Yulong Wang, Xiaolin Hu, Jun Zhu:
A Hierarchical Recurrent Neural Network for Symbolic Melody Generation. IEEE Trans. Cybern. 50(6): 2749-2757 (2020) - [j25]Yulong Wang, Hang Su, Bo Zhang, Xiaolin Hu:
Interpret Neural Networks by Extracting Critical Subnetworks. IEEE Trans. Image Process. 29: 6707-6720 (2020) - [j24]Xiang Li, Jun Li, Xiaolin Hu, Jian Yang:
Line-CNN: End-to-End Traffic Line Detection With Line Proposal Unit. IEEE Trans. Intell. Transp. Syst. 21(1): 248-258 (2020) - [j23]Yulong Wang, Hang Su, Bo Zhang, Xiaolin Hu:
Learning Reliable Visual Saliency For Model Explanations. IEEE Trans. Multim. 22(7): 1796-1807 (2020) - [c45]Yulong Wang, Xiaolu Zhang, Xiaolin Hu, Bo Zhang, Hang Su:
Dynamic Network Pruning with Interpretable Layerwise Channel Selection. AAAI 2020: 6299-6306 - [c44]Yulong Wang, Xiaolu Zhang, Lingxi Xie, Jun Zhou, Hang Su, Bo Zhang, Xiaolin Hu:
Pruning from Scratch. AAAI 2020: 12273-12280 - [c43]Yudong Wu, Yichao Wu, Ruihao Gong, Yuanhao Lv, Ken Chen, Ding Liang, Xiaolin Hu, Xianglong Liu, Junjie Yan:
Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition. CVPR 2020: 6865-6875 - [c42]Qiushan Guo, Xinjiang Wang, Yichao Wu, Zhipeng Yu, Ding Liang, Xiaolin Hu, Ping Luo:
Online Knowledge Distillation via Collaborative Learning. CVPR 2020: 11017-11026 - [c41]Haoran Chen, Jianmin Li, Xiaolin Hu:
Delving Deeper into the Decoder for Video Captioning. ECAI 2020: 1079-1086 - [c40]Weilun Chen, Zhaoxiang Zhang, Xiaolin Hu, Baoyuan Wu:
Boosting Decision-Based Black-Box Adversarial Attacks with Random Sign Flip. ECCV (15) 2020: 276-293 - [c39]Yingcheng Su, Yichao Wu, Ken Chen, Ding Liang, Xiaolin Hu:
Dynamic Multi-path Neural Network. ICPR 2020: 4137-4144 - [c38]Ge Gao, Mikko Lauri, Yulong Wang, Xiaolin Hu, Jianwei Zhang, Simone Frintrop:
6D Object Pose Regression via Supervised Learning on Point Clouds. ICRA 2020: 3643-3649 - [c37]Xiang Li, Wenhai Wang, Lijun Wu, Shuo Chen, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang:
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection. NeurIPS 2020 - [c36]Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen:
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning. NeurIPS 2020 - [c35]Yingcheng Su, Yichao Wu, Zhenmao Li, Qiushan Guo, Ken Chen, Junjie Yan, Ding Liang, Xiaolin Hu:
Companion Guided Soft Margin for Face Recognition. ECML/PKDD (3) 2020: 497-514 - [i22]Haoran Chen, Jianmin Li, Xiaolin Hu:
Delving Deeper into the Decoder for Video Captioning. CoRR abs/2001.05614 (2020) - [i21]Ge Gao, Mikko Lauri, Yulong Wang, Xiaolin Hu, Jianwei Zhang, Simone Frintrop:
6D Object Pose Regression via Supervised Learning on Point Clouds. CoRR abs/2001.08942 (2020) - [i20]Xiang Li, Wenhai Wang, Lijun Wu, Shuo Chen, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang:
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection. CoRR abs/2006.04388 (2020) - [i19]Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen:
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning. CoRR abs/2006.11485 (2020) - [i18]Xiang Li, Wenhai Wang, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang:
Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection. CoRR abs/2011.12885 (2020)
2010 – 2019
- 2019
- [j22]Qingtian Zhang, Xiaolin Hu, Bo Hong, Bo Zhang:
A hierarchical sparse coding model predicts acoustic feature encoding in both auditory midbrain and cortex. PLoS Comput. Biol. 15(2) (2019) - [j21]Shangqi Guo, Zhaofei Yu, Fei Deng, Xiaolin Hu, Feng Chen:
Hierarchical Bayesian Inference and Learning in Spiking Neural Networks. IEEE Trans. Cybern. 49(1): 133-145 (2019) - [j20]Fangzhou Liao, Xi Chen, Xiaolin Hu, Sen Song:
Estimation of the Volume of the Left Ventricle From MRI Images Using Deep Neural Networks. IEEE Trans. Cybern. 49(2): 495-504 (2019) - [j19]Niange Yu, Xiaolin Hu, Binheng Song, Jian Yang, Jianwei Zhang:
Topic-Oriented Image Captioning Based on Order-Embedding. IEEE Trans. Image Process. 28(6): 2743-2754 (2019) - [j18]Fangzhou Liao, Ming Liang, Zhe Li, Xiaolin Hu, Sen Song:
Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network. IEEE Trans. Neural Networks Learn. Syst. 30(11): 3484-3495 (2019) - [c34]Xiang Li, Wenhai Wang, Xiaolin Hu, Jian Yang:
Selective Kernel Networks. CVPR 2019: 510-519 - [c33]Xiang Li, Shuo Chen, Xiaolin Hu, Jian Yang:
Understanding the Disharmony Between Dropout and Batch Normalization by Variance Shift. CVPR 2019: 2682-2690 - [c32]Niange Yu, Cornelius Weber, Xiaolin Hu:
Learning Sparse Hidden States in Long Short-Term Memory. ICANN (2) 2019: 288-298 - [c31]Xiao Jin, Baoyun Peng, Yichao Wu, Yu Liu, Jiaheng Liu, Ding Liang, Junjie Yan, Xiaolin Hu:
Knowledge Distillation via Route Constrained Optimization. ICCV 2019: 1345-1354 - [c30]Chufeng Tang, Lu Sheng, Zhaoxiang Zhang, Xiaolin Hu:
Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization. ICCV 2019: 4996-5005 - [i17]Xiang Li, Wenhai Wang, Xiaolin Hu, Jian Yang:
Selective Kernel Networks. CoRR abs/1903.06586 (2019) - [i16]Xiao Jin, Baoyun Peng, Yichao Wu, Yu Liu, Jiaheng Liu, Ding Liang, Junjie Yan, Xiaolin Hu:
Knowledge Distillation via Route Constrained Optimization. CoRR abs/1904.09149 (2019) - [i15]Xiang Li, Xiaolin Hu, Jian Yang:
Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks. CoRR abs/1905.09646 (2019) - [i14]Haoran Chen, Ke Lin, Alexander Maye, Jianming Li, Xiaolin Hu:
A Semantics-Assisted Video Captioning Model Trained with Scheduled Sampling. CoRR abs/1909.00121 (2019) - [i13]Yulong Wang, Xiaolu Zhang, Lingxi Xie, Jun Zhou, Hang Su, Bo Zhang, Xiaolin Hu:
Pruning from Scratch. CoRR abs/1909.12579 (2019) - [i12]Yulong Wang, Xiaolin Hu, Hang Su:
Interpretable Disentanglement of Neural Networks by Extracting Class-Specific Subnetwork. CoRR abs/1910.02673 (2019) - [i11]Chufeng Tang, Lu Sheng, Zhaoxiang Zhang, Xiaolin Hu:
Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization. CoRR abs/1910.04562 (2019) - 2018
- [c29]Yi Zhang, Weichao Qiu, Qi Chen, Xiaolin Hu, Alan L. Yuille:
UnrealStereo: Controlling Hazardous Factors to Analyze Stereo Vision. 3DV 2018: 228-237 - [c28]Fangzhou Liao, Ming Liang, Yinpeng Dong, Tianyu Pang, Xiaolin Hu, Jun Zhu:
Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser. CVPR 2018: 1778-1787 - [c27]Yulong Wang, Hang Su, Bo Zhang, Xiaolin Hu:
Interpret Neural Networks by Identifying Critical Data Routing Paths. CVPR 2018: 8906-8914 - [c26]Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Hang Su, Jun Zhu, Xiaolin Hu, Jianguo Li:
Boosting Adversarial Attacks With Momentum. CVPR 2018: 9185-9193 - [i10]Xiang Li, Shuo Chen, Xiaolin Hu, Jian Yang:
Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift. CoRR abs/1801.05134 (2018) - [i9]Alexey Kurakin, Ian J. Goodfellow, Samy Bengio, Yinpeng Dong, Fangzhou Liao, Ming Liang, Tianyu Pang, Jun Zhu, Xiaolin Hu, Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, Alan L. Yuille, Sangxia Huang, Yao Zhao, Yuzhe Zhao, Zhonglin Han, Junjiajia Long, Yerkebulan Berdibekov, Takuya Akiba, Seiya Tokui, Motoki Abe:
Adversarial Attacks and Defences Competition. CoRR abs/1804.00097 (2018) - [i8]Yisu Zhou, Xiaolin Hu, Bo Zhang:
Interlinked Convolutional Neural Networks for Face Parsing. CoRR abs/1806.02479 (2018) - 2017
- [j17]Tiancheng Sun, Yulong Wang, Jian Yang, Xiaolin Hu:
Convolution Neural Networks With Two Pathways for Image Style Recognition. IEEE Trans. Image Process. 26(9): 4102-4113 (2017) - [c25]Zekun Hao, Yu Liu, Hongwei Qin, Junjie Yan, Xiu Li, Xiaolin Hu:
Scale-Aware Face Detection. CVPR 2017: 1913-1922 - [c24]Zhanhao Hu, Tao Wang, Xiaolin Hu:
An STDP-Based Supervised Learning Algorithm for Spiking Neural Networks. ICONIP (2) 2017: 92-100 - [c23]Xiaolin Hu, Tao Wang:
Training the Hopfield Neural Network for Classification Using a STDP-Like Rule. ICONIP (3) 2017: 737-744 - [c22]Jian Wu, Liwei Ma, Xiaolin Hu:
Delving deeper into convolutional neural networks for camera relocalization. ICRA 2017: 5644-5651 - [c21]Niange Yu, Shi Qiu, Xiaolin Hu, Jianmin Li:
Accelerating convolutional neural networks by group-wise 2D-filter pruning. IJCNN 2017: 2502-2509 - [c20]Ke Bai, Fangzhou Liao, Xiaolin Hu:
Reservoir Computing with a Small-World Network for Discriminating Two Sequential Stimuli. ISNN (1) 2017: 277-284 - [c19]Jianfeng Wang, Xiaolin Hu:
Gated Recurrent Convolution Neural Network for OCR. NIPS 2017: 335-344 - [i7]Fangzhou Liao, Xi Chen, Xiaolin Hu, Sen Song:
Estimation of the volume of the left ventricle from MRI images using deep neural networks. CoRR abs/1702.03833 (2017) - [i6]Zekun Hao, Yu Liu, Hongwei Qin, Junjie Yan, Xiu Li, Xiaolin Hu:
Scale-Aware Face Detection. CoRR abs/1706.09876 (2017) - [i5]Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Xiaolin Hu, Jun Zhu:
Discovering Adversarial Examples with Momentum. CoRR abs/1710.06081 (2017) - [i4]Fangzhou Liao, Ming Liang, Zhe Li, Xiaolin Hu, Sen Song:
Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky Noisy-or Network. CoRR abs/1711.08324 (2017) - [i3]Fangzhou Liao, Ming Liang, Yinpeng Dong, Tianyu Pang, Jun Zhu, Xiaolin Hu:
Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser. CoRR abs/1712.02976 (2017) - [i2]Jian Wu, Changran Hu, Yulong Wang, Xiaolin Hu, Jun Zhu:
A Hierarchical Recurrent Neural Network for Symbolic Melody Generation. CoRR abs/1712.05274 (2017) - 2016
- [j16]Shuai Wang, Yang Yang, Xiaolin Hu, Jianmin Li, Bingji Xu:
Solving the K-shortest paths problem in timetable-based public transportation systems. J. Intell. Transp. Syst. 20(5): 413-427 (2016) - [j15]Zhigang Zeng, Andrzej Cichocki, Long Cheng, Youshen Xia, Xiaolin Hu:
Guest Editorial Special Issue on Neurodynamic Systems for Optimization and Applications. IEEE Trans. Neural Networks Learn. Syst. 27(2): 210-213 (2016) - [c18]Hongwei Qin, Junjie Yan, Xiu Li, Xiaolin Hu:
Joint Training of Cascaded CNN for Face Detection. CVPR 2016: 3456-3465 - [c17]Yu Rong, Xiaolin Hu:
Fuzzy String Matching Using Sentence Embedding Algorithms. ICONIP (3) 2016: 626-633 - [i1]Yi Zhang, Weichao Qiu, Qi Chen, Xiaolin Hu, Alan L. Yuille:
UnrealStereo: A Synthetic Dataset for Analyzing Stereo Vision. CoRR abs/1612.04647 (2016) - 2015
- [j14]Qingtian Zhang, Xiaolin Hu, Bo Zhang:
Comparison of ℓ1-Norm SVR and Sparse Coding Algorithms for Linear Regression. IEEE Trans. Neural Networks Learn. Syst. 26(8): 1828-1833 (2015) - [c16]Xiang Li, Suchi Qian, Furong Peng, Jian Yang, Xiaolin Hu, Rui Xia:
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. ICDM Workshops 2015: 1055-1062 - [c15]Yisu Zhou, Xiaolin Hu, Bo Zhang:
Interlinked Convolutional Neural Networks for Face Parsing. ISNN 2015: 222-231 - [c14]Ming Liang, Xiaolin Hu, Bo Zhang:
Convolutional Neural Networks with Intra-Layer Recurrent Connections for Scene Labeling. NIPS 2015: 937-945 - [e1]Xiaolin Hu, Yousheng Xia, Yunong Zhang, Dongbin Zhao:
Advances in Neural Networks - ISNN 2015 - 12th International Symposium on Neural Networks, ISNN 2015, Jeju, South Korea, October 15-18, 2015, Proceedings. Lecture Notes in Computer Science 9377, Springer 2015, ISBN 978-3-319-25392-3 [contents] - 2014
- [j13]Xiaolin Hu, Jianwei Zhang, Peng Qi, Bo Zhang:
Modeling response properties of V2 neurons using a hierarchical K-means model. Neurocomputing 134: 198-205 (2014) - [j12]Peng Qi, Xiaolin Hu:
Learning Nonlinear Statistical Regularities in Natural Images by Modeling the Outer Product of Image Intensities. Neural Comput. 26(4): 693-711 (2014) - 2013
- [j11]Dongbin Zhao, Yi Shen, Zhanshan Wang, Xiaolin Hu:
Data-based control, optimization, modeling and applications. Neural Comput. Appl. 23(7-8): 1839-1842 (2013) - [c13]Ming Liang, Mingyi Yuan, Xiaolin Hu, Jianmin Li, Huaping Liu:
Traffic sign detection by ROI extraction and histogram features-based recognition. IJCNN 2013: 1-8 - [c12]Yihui Wu, Yulong Liu, Jianmin Li, Huaping Liu, Xiaolin Hu:
Traffic sign detection based on convolutional neural networks. IJCNN 2013: 1-7 - 2012
- [j10]Xiaolin Hu, Jun Wang:
Solving the Assignment Problem Using Continuous-Time and Discrete-Time Improved Dual Networks. IEEE Trans. Neural Networks Learn. Syst. 23(5): 821-827 (2012) - [c11]Xiaolin Hu, Peng Qi, Bo Zhang:
Hierarchical K-Means Algorithm for Modeling Visual Area V2 Neurons. ICONIP (3) 2012: 373-381 - 2011
- [c10]Xiaolin Hu, Jun Wang:
Solving the Assignment Problem with the Improved Dual Neural Network. ISNN (1) 2011: 547-556 - 2010
- [j9]Xiaolin Hu, Bo Zhang:
A Gaussian Attractor Network for Memory and Recognition with Experience-Dependent Learning. Neural Comput. 22(5): 1333-1357 (2010) - [j8]Xiaolin Hu, Changyin Sun, Bo Zhang:
Design of recurrent neural networks for solving constrained least absolute deviation problems. IEEE Trans. Neural Networks 21(7): 1073-1086 (2010)
2000 – 2009
- 2009
- [j7]Xiaolin Hu, Bo Zhang:
A New Recurrent Neural Network for Solving Convex Quadratic Programming Problems With an Application to the k -Winners-Take-All Problem. IEEE Trans. Neural Networks 20(4): 654-664 (2009) - [j6]Xiaolin Hu, Bo Zhang:
An Alternative Recurrent Neural Network for Solving Variational Inequalities and Related Optimization Problems. IEEE Trans. Syst. Man Cybern. Part B 39(6): 1640-1645 (2009) - [c9]Xiaolin Hu, Bo Zhang:
Another Simple Recurrent Neural Network for Quadratic and Linear Programming. ISNN (3) 2009: 116-125 - [c8]Xiaolin Hu, Jun Wang, Bo Zhang:
Motion Planning with Obstacle Avoidance for Kinematically Redundant Manipulators Based on Two Recurrent Neural Networks. SMC 2009: 137-142 - 2008
- [j5]Xiaolin Hu, Jun Wang:
An Improved Dual Neural Network for Solving a Class of Quadratic Programming Problems and Its k-Winners-Take-All Application. IEEE Trans. Neural Networks 19(12): 2022-2031 (2008) - [c7]Xiaolin Hu, Zhigang Zeng, Bo Zhang:
Three Global Exponential Convergence Results of the GPNN for Solving Generalized Linear Variational Inequalities. ISNN (1) 2008: 309-318 - [c6]Yingyu Liang, Xiaobing Liu, Zhikun Wang, Jianmin Li, Binbin Cao, Zhichao Cao, Zhenlong Dai, Zhishan Guo, Wen Li, Leigang Luo, Zhaoshi Meng, Yinfeng Qin, Qiu Shi, Aibo Tian, Dong Wang, Qiuping Wang, Chenguang Zhu, Xiaolin Hu, Jinhui Yuan, Peijiang Yuan, Bo Zhang, Shi Chen, Jianguo Li, Tao Wang, Yimin Zhang:
THU and ICRC at TRECVID 2008. TRECVID 2008 - 2007
- [b1]Xiaolin Hu:
Solving variational inequalities and related problems using recurrent neural networks. Chinese University of Hong Kong, Hong Kong, 2007 - [j4]Xiaolin Hu, Jun Wang:
Solving Generally Constrained Generalized Linear Variational Inequalities Using the General Projection Neural Networks. IEEE Trans. Neural Networks 18(6): 1697-1708 (2007) - [j3]Xiaolin Hu, Jun Wang:
A Recurrent Neural Network for Solving a Class of General Variational Inequalities. IEEE Trans. Syst. Man Cybern. Part B 37(3): 528-539 (2007) - [j2]Xiaolin Hu, Jun Wang:
Design of General Projection Neural Networks for Solving Monotone Linear Variational Inequalities and Linear and Quadratic Optimization Problems. IEEE Trans. Syst. Man Cybern. Part B 37(5): 1414-1421 (2007) - [c5]Xiaolin Hu, Jun Wang:
Solving the k-Winners-Take-All Problem and the Oligopoly Cournot-Nash Equilibrium Problem Using the General Projection Neural Networks. ICONIP (1) 2007: 703-712 - [c4]Xiaolin Hu, Jun Wang:
Convergence of a Recurrent Neural Network for Nonconvex Optimization Based on an Augmented Lagrangian Function. ISNN (3) 2007: 194-203 - 2006
- [j1]Xiaolin Hu, Jun Wang:
Solving Pseudomonotone Variational Inequalities and Pseudoconvex Optimization Problems Using the Projection Neural Network. IEEE Trans. Neural Networks 17(6): 1487-1499 (2006) - [c3]Xiaolin Hu, Jun Wang:
Solving Extended Linear Programming Problems Using a Class of Recurrent Neural Networks. ICONIP (2) 2006: 994-1003 - [c2]Xiaolin Hu, Jun Wang:
A Recurrent Neural Network for Solving Nonconvex Optimization Problems. IJCNN 2006: 4522-4528 - [c1]Xiaolin Hu, Jun Wang:
Global stability of a recurrent neural network for solving pseudomonotone variational inequalities. ISCAS 2006
Coauthor Index
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