Xiaolin Hu
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Xiaolin Hucomputer-science Degrees
Computer Science
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Computer Science
Xiaolin Hu's Degrees
- PhD Computer Science Stanford University
- Masters Computer Science Stanford University
- Bachelors Computer Science Tsinghua University
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Why Is Xiaolin Hu Influential?
(Suggest an Edit or Addition)Xiaolin Hu's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Boosting Adversarial Attacks with Momentum (2017) (1573)
- High Performance Visual Tracking with Siamese Region Proposal Network (2018) (1521)
- Selective Kernel Networks (2019) (1029)
- Recurrent convolutional neural network for object recognition (2015) (847)
- Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser (2017) (622)
- Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network (2017) (324)
- Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection (2020) (309)
- Understanding the Disharmony Between Dropout and Batch Normalization by Variance Shift (2018) (235)
- Adversarial Attacks and Defences Competition (2018) (234)
- Solving Pseudomonotone Variational Inequalities and Pseudoconvex Optimization Problems Using the Projection Neural Network (2006) (200)
- Joint Training of Cascaded CNN for Face Detection (2016) (191)
- An Improved Dual Neural Network for Solving a Class of Quadratic Programming Problems and Its $k$-Winners-Take-All Application (2008) (153)
- Online Knowledge Distillation via Collaborative Learning (2020) (142)
- Gated Recurrent Convolution Neural Network for OCR (2017) (124)
- Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection (2020) (115)
- Design of General Projection Neural Networks for Solving Monotone Linear Variational Inequalities and Linear and Quadratic Optimization Problems (2007) (111)
- Pruning from Scratch (2019) (110)
- Traffic sign detection based on convolutional neural networks (2013) (103)
- Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks (2019) (103)
- Line-CNN: End-to-End Traffic Line Detection With Line Proposal Unit (2020) (101)
- Traffic sign detection by ROI extraction and histogram features-based recognition (2013) (99)
- Delving deeper into convolutional neural networks for camera relocalization (2017) (93)
- Knowledge Distillation via Route Constrained Optimization (2019) (91)
- Scale-Aware Face Detection (2017) (89)
- Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization (2019) (75)
- A Recurrent Neural Network for Solving a Class of General Variational Inequalities (2007) (72)
- Interpret Neural Networks by Identifying Critical Data Routing Paths (2018) (68)
- Discovering Adversarial Examples with Momentum (2017) (62)
- Sparsity-Regularized HMAX for Visual Recognition (2014) (60)
- Interlinked Convolutional Neural Networks for Face Parsing (2015) (60)
- Convolutional Neural Networks with Intra-Layer Recurrent Connections for Scene Labeling (2015) (58)
- A Hierarchical Recurrent Neural Network for Symbolic Melody Generation (2017) (57)
- A New Recurrent Neural Network for Solving Convex Quadratic Programming Problems With an Application to the $k$-Winners-Take-All Problem (2009) (52)
- Convolution Neural Networks With Two Pathways for Image Style Recognition (2017) (50)
- THU and ICRC at TRECVID 2007 (2007) (45)
- Topic-Oriented Image Captioning Based on Order-Embedding (2019) (44)
- Applications of the general projection neural network in solving extended linear-quadratic programming problems with linear constraints (2009) (41)
- Boosting Decision-Based Black-Box Adversarial Attacks with Random Sign Flip (2020) (40)
- UnrealStereo: A Synthetic Dataset for Analyzing Stereo Vision (2016) (40)
- Estimation of the Volume of the Left Ventricle From MRI Images Using Deep Neural Networks (2017) (40)
- RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features (2021) (39)
- FxpNet: Training a deep convolutional neural network in fixed-point representation (2017) (37)
- 6D Object Pose Regression via Supervised Learning on Point Clouds (2020) (36)
- A Cascaded Inception of Inception Network With Attention Modulated Feature Fusion for Human Pose Estimation (2018) (35)
- Look Closer to Segment Better: Boundary Patch Refinement for Instance Segmentation (2021) (34)
- Solving Generally Constrained Generalized Linear Variational Inequalities Using the General Projection Neural Networks (2007) (31)
- RSG: A Simple but Effective Module for Learning Imbalanced Datasets (2021) (29)
- Feature Selection in Supervised Saliency Prediction (2015) (29)
- An Alternative Recurrent Neural Network for Solving Variational Inequalities and Related Optimization Problems (2009) (29)
- UnrealStereo: Controlling Hazardous Factors to Analyze Stereo Vision (2016) (29)
- Hierarchical Bayesian Inference and Learning in Spiking Neural Networks (2019) (28)
- Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition (2020) (28)
- Fooling thermal infrared pedestrian detectors in real world using small bulbs (2021) (26)
- Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning (2020) (25)
- Recurrent convolutional neural network for speech processing (2017) (25)
- Accelerating convolutional neural networks by group-wise 2D-filter pruning (2017) (24)
- Design of Recurrent Neural Networks for Solving Constrained Least Absolute Deviation Problems (2010) (23)
- Predicting Eye Fixations With Higher-Level Visual Features (2015) (21)
- Solving the Assignment Problem Using Continuous-Time and Discrete-Time Improved Dual Networks (2012) (21)
- Delving Deeper into the Decoder for Video Captioning (2020) (21)
- Dynamic Network Pruning with Interpretable Layerwise Channel Selection (2020) (21)
- PopMNet: Generating structured pop music melodies using neural networks (2020) (21)
- Learning Reliable Visual Saliency For Model Explanations (2020) (20)
- Adversarial Texture for Fooling Person Detectors in the Physical World (2022) (20)
- Comparison of $\ell _{1}$ -Norm SVR and Sparse Coding Algorithms for Linear Regression (2015) (18)
- Convolutional Neural Networks With Gated Recurrent Connections (2021) (17)
- Self-similar network model for fractional-order neuronal spiking: implications of dendritic spine functions (2020) (17)
- Attack on Practical Speaker Verification System Using Universal Adversarial Perturbations (2021) (17)
- Dynamic system methods for solving mixed linear matrix inequalities and linear vector inequalities and equalities (2010) (16)
- Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network (2021) (14)
- CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds (2021) (14)
- Editorial A Successful Change From TNN to TNNLS and a Very Successful Year (2013) (13)
- Deep Learning Predicts Correlation between a Functional Signature of Higher Visual Areas and Sparse Firing of Neurons (2017) (13)
- End-to-end face parsing via interlinked convolutional neural networks (2020) (12)
- A compact neural network for training support vector machines (2012) (12)
- Motion planning with obstacle avoidance for kinematically redundant manipulators based on two recurrent neural networks (2009) (12)
- Deciphering phonemes from syllables in blood oxygenation level‐dependent signals in human superior temporal gyrus (2016) (11)
- Convergence of a Recurrent Neural Network for Nonconvex Optimization Based on an Augmented Lagrangian Function (2007) (11)
- A Reverse Hierarchy Model for Predicting Eye Fixations (2014) (11)
- Modeling response properties of V2 neurons using a hierarchical K-means model (2014) (11)
- A Modified K-Shortest Paths Algorithm for Solving the Earliest Arrival Problem on the Time-Dependent Model of Transportation Systems (2012) (10)
- DAM: Discrepancy Alignment Metric for Face Recognition (2021) (10)
- An Adaline Neural Network-Based Multi-User Detector Improved by Particle Swarm Optimization in CDMA Systems (2011) (10)
- Global stability of a recurrent neural network for solving pseudomonotone variational inequalities (2006) (9)
- Solving the K-shortest paths problem in timetable-based public transportation systems (2016) (9)
- Neural representation of three-dimensional acoustic space in the human temporal lobe (2015) (9)
- 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 (2015) (9)
- Vocabulary-Wide Credit Assignment for Training Image Captioning Models (2021) (8)
- A Gaussian Attractor Network for Memory and Recognition with Experience-Dependent Learning (2010) (7)
- Rethinking Natural Adversarial Examples for Classification Models (2021) (7)
- Turbo Learning Framework for Human-Object Interactions Recognition and Human Pose Estimation (2019) (6)
- Interpret Neural Networks by Extracting Critical Subnetworks (2020) (5)
- Guest Editorial Special Issue on Neurodynamic Systems for Optimization and Applications (2016) (4)
- Solving the Assignment Problem with the Improved Dual Neural Network (2011) (4)
- A hierarchical sparse coding model predicts acoustic feature encoding in both auditory midbrain and cortex (2019) (4)
- Hierarchical K-Means Algorithm for Modeling Visual Area V2 Neurons (2012) (4)
- Learning Nonlinear Statistical Regularities in Natural Images by Modeling the Outer Product of Image Intensities (2014) (4)
- Efficient reinforcement learning of a reservoir network model of parametric working memory achieved with a cluster population winner-take-all readout mechanism. (2015) (4)
- An STDP-Based Supervised Learning Algorithm for Spiking Neural Networks (2017) (4)
- Solving Extended Linear Programming Problems Using a Class of Recurrent Neural Networks (2006) (4)
- A Recurrent Neural Network for Solving Nonconvex Optimization Problems (2006) (3)
- The Influence of the Amount of Parameters in Different Layers on the Performance of Deep Learning Models (2015) (3)
- Training the Hopfield Neural Network for Classification Using a STDP-Like Rule (2017) (3)
- Obstacle Avoidance for Kinematically Redundant Manipulators Based on an Improved Problem Formulation and the Simplified Dual Neural Network (2007) (3)
- Learning Sparse Hidden States in Long Short-Term Memory (2019) (2)
- Another Simple Recurrent Neural Network for Quadratic and Linear Programming (2009) (2)
- Formalizing computational river networks (1994) (2)
- A Deep Learning Framework for Solving Rectangular Waveguide Problems (2020) (2)
- Real-time Motion Planning of Kinematically Redundant Manipulators Using Recurrent Neural Networks (2009) (2)
- Advances in Neural Networks – ISNN 2015 (2015) (2)
- Frame Difference-Based Temporal Loss for Video Stylization (2021) (2)
- Solving the k-Winners-Take-All Problem and the Oligopoly Cournot-Nash Equilibrium Problem Using the General Projection Neural Networks (2007) (2)
- Neurodynamic Optimization: towards Nonconvexity (2008) (2)
- Solving variational inequalities and related problems using recurrent neural networks (2007) (2)
- Interpretable Disentanglement of Neural Networks by Extracting Class-Specific Subnetwork (2019) (1)
- Erratum to: Interlinked Convolutional Neural Networks for Face Parsing (2015) (1)
- River network model and parameter estimation (1994) (1)
- The MSR-Video to Text dataset with clean annotations (2021) (1)
- Distributed sparse HMAX model (2015) (1)
- Deciphering phonemes from syllables in BOLD signals in human superior temporal gyrus (2016) (1)
- Estimating the volume of the left ventricle from MRI images using deep neural networks (2021) (1)
- Predicting world coordinates of pixels in RGB images using Convolutional Neural Network for camera relocalization (2016) (1)
- From Textline to Paragraph: A Promising Practice for Chinese Text Recognition (2020) (1)
- Proceedings of the 12th International Symposium on Advances in Neural Networks --- ISNN 2015 - Volume 9377 (2015) (0)
- Sign Detection based on Convolutional Neural Networks (2013) (0)
- Image Captioning with a Constraint of Image-to-Text Transformation (2020) (0)
- Thank you reviewer list (2019) (0)
- CFNet: Cascade Fusion Network for Dense Prediction (2023) (0)
- Modeling outer products of features for image classification (2013) (0)
- Fuzzy String Matching Using Sentence Embedding Algorithms (2016) (0)
- Data-based control, optimization, modeling and applications (2013) (0)
- Amplification trojan network: Attack deep neural networks by amplifying their inherent weakness (2022) (0)
- Annotation Cleaning for the MSR-Video to Text Dataset (2021) (0)
- Three Global Exponential Convergence Results of the GPNN for Solving Generalized Linear Variational Inequalities (2008) (0)
- Companion Guided Soft Margin for Face Recognition (2020) (0)
- Advances in neural networks - ISNN 2015 : 12th International Symposium on Neural Networks, ISNN 2015, Jeju, South Korea, October 15-18, 2015 : proceedings (2015) (0)
- DoA Estimation Using Neural Tangent Kernel under Electromagnetic Mutual Coupling (2021) (0)
- An Oscillator Ensemble Model of Sequence Learning (2019) (0)
- Multiple Signal DoA Estimation with Unknown Electromagnetic Coupling using Gaussian Process (2020) (0)
- Reservoir Computing with a Small-World Network for Discriminating Two Sequential Stimuli (2017) (0)
- Emergence of V1 connectivity pattern and Hebbian rule in a performance-optimized artificial neural network (2018) (0)
- Frame Difference-Based Real-Time Video Stylization in Video Calls (2018) (0)
- Capacity Estimation of MIMO Systems via Support Vector Regression (2019) (0)
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