Xiaolin Hu
Orcid: 0000-0002-4907-7354Affiliations:
- Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Chinese University of Hong Kong, Department of Mechanical and Automation Engineering, Hong Kong (PhD 2007)
According to our database1,
Xiaolin Hu
authored at least 128 papers
between 2006 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Neurocomputing, January, 2024
CoRR, 2024
CoRR, 2024
2023
Focal Distillation From High-Resolution Data to Low-Resolution Data for 3D Object Detection.
IEEE Trans. Intell. Transp. Syst., December, 2023
Appl. Intell., December, 2023
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023
Recognizing Object by Components With Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023
IEEE ACM Trans. Audio Speech Lang. Process., 2023
RTFS-Net: Recurrent time-frequency modelling for efficient audio-visual speech separation.
CoRR, 2023
CoRR, 2023
Audio-Visual Speech Separation in Noisy Environments with a Lightweight Iterative Model.
CoRR, 2023
CoRR, 2023
HEDNet: A Hierarchical Encoder-Decoder Network for 3D Object Detection in Point Clouds.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
An efficient encoder-decoder architecture with top-down attention for speech separation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
State-Temporal Compression in Reinforcement Learning With the Reward-Restricted Geodesic Metric.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Neural Comput., 2022
Neural Comput., 2022
Amplification trojan network: Attack deep neural networks by amplifying their inherent weakness.
Neurocomputing, 2022
Int. J. Comput. Vis., 2022
Comput. Vis. Image Underst., 2022
An Audio-Visual Speech Separation Model Inspired by Cortico-Thalamo-Cortical Circuits.
CoRR, 2022
Recognizing Object by Components with Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks.
CoRR, 2022
Bridging the Gap Between Training and Inference of Bayesian Controllable Language Models.
CoRR, 2022
Proceedings of the Interspeech 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Infrared Invisible Clothing: Hiding from Infrared Detectors at Multiple Angles in Real World.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the 33rd British Machine Vision Conference 2022, 2022
2021
IEEE Trans. Image Process., 2021
Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Attack on Practical Speaker Verification System Using Universal Adversarial Perturbations.
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
IEEE Trans. Intell. Transp. Syst., 2020
IEEE Trans. Image Process., 2020
IEEE Trans. Cybern., 2020
Frontiers Robotics AI, 2020
Artif. Intell., 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network.
IEEE Trans. Neural Networks Learn. Syst., 2019
IEEE Trans. Image Process., 2019
Estimation of the Volume of the Left Ventricle From MRI Images Using Deep Neural Networks.
IEEE Trans. Cybern., 2019
IEEE Trans. Cybern., 2019
A hierarchical sparse coding model predicts acoustic feature encoding in both auditory midbrain and cortex.
PLoS Comput. Biol., 2019
Interpretable Disentanglement of Neural Networks by Extracting Class-Specific Subnetwork.
CoRR, 2019
CoRR, 2019
Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks.
CoRR, 2019
Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Understanding the Disharmony Between Dropout and Batch Normalization by Variance Shift.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Proceedings of the 2018 International Conference on 3D Vision, 2018
2017
IEEE Trans. Image Process., 2017
Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky Noisy-or Network.
CoRR, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Reservoir Computing with a Small-World Network for Discriminating Two Sequential Stimuli.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
2016
Solving the K-shortest paths problem in timetable-based public transportation systems.
J. Intell. Transp. Syst., 2016
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
2015
Comparison of ℓ<sub>1</sub>-Norm SVR and Sparse Coding Algorithms for Linear Regression.
IEEE Trans. Neural Networks Learn. Syst., 2015
Convolutional Neural Networks with Intra-Layer Recurrent Connections for Scene Labeling.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Advances in Neural Networks - ISNN 2015, 2015
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.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015
2014
Learning Nonlinear Statistical Regularities in Natural Images by Modeling the Outer Product of Image Intensities.
Neural Comput., 2014
Neurocomputing, 2014
2013
Neural Comput. Appl., 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
2012
Solving the Assignment Problem Using Continuous-Time and Discrete-Time Improved Dual Networks.
IEEE Trans. Neural Networks Learn. Syst., 2012
Proceedings of the Neural Information Processing - 19th International Conference, 2012
2011
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011
2010
Design of recurrent neural networks for solving constrained least absolute deviation problems.
IEEE Trans. Neural Networks, 2010
A Gaussian Attractor Network for Memory and Recognition with Experience-Dependent Learning.
Neural Comput., 2010
2009
An Alternative Recurrent Neural Network for Solving Variational Inequalities and Related Optimization Problems.
IEEE Trans. Syst. Man Cybern. Part B, 2009
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, 2009
Motion Planning with Obstacle Avoidance for Kinematically Redundant Manipulators Based on Two Recurrent Neural Networks.
Proceedings of the IEEE International Conference on Systems, 2009
Proceedings of the Advances in Neural Networks, 2009
2008
An Improved Dual Neural Network for Solving a Class of Quadratic Programming Problems and Its k-Winners-Take-All Application.
IEEE Trans. Neural Networks, 2008
Proceedings of the TRECVID 2008 workshop participants notebook papers, 2008
Three Global Exponential Convergence Results of the GPNN for Solving Generalized Linear Variational Inequalities.
Proceedings of the Advances in Neural Networks, 2008
2007
Solving variational inequalities and related problems using recurrent neural networks.
PhD thesis, 2007
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, 2007
IEEE Trans. Syst. Man Cybern. Part B, 2007
Solving Generally Constrained Generalized Linear Variational Inequalities Using the General Projection Neural Networks.
IEEE Trans. Neural Networks, 2007
Convergence of a Recurrent Neural Network for Nonconvex Optimization Based on an Augmented Lagrangian Function.
Proceedings of the Advances in Neural Networks, 2007
Solving the k-Winners-Take-All Problem and the Oligopoly Cournot-Nash Equilibrium Problem Using the General Projection Neural Networks.
Proceedings of the Neural Information Processing, 14th International Conference, 2007
2006
Solving Pseudomonotone Variational Inequalities and Pseudoconvex Optimization Problems Using the Projection Neural Network.
IEEE Trans. Neural Networks, 2006
Global stability of a recurrent neural network for solving pseudomonotone variational inequalities.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
Solving Extended Linear Programming Problems Using a Class of Recurrent Neural Networks.
Proceedings of the Neural Information Processing, 13th International Conference, 2006