Zenglin Xu

发表

Concatenated Tensor Networks for Deep Multi-Task Learning

Zenglin Xu, Maolin Wang, Zeyong Su, 2020, ICONIP.

Infinite Tucker Decomposition: Nonparametric Bayesian Models for Multiway Data Analysis

Zenglin Xu, Feng Yan, Yuan Qi, 2011, ICML.

Semi-supervised deep embedded clustering

Zenglin Xu, Steven C. H. Hoi, Yazhou Ren, 2019, Neurocomputing.

Read, Attend, and Exclude: Multi-Choice Reading Comprehension by Mimicking Human Reasoning Process

Zenglin Xu, Kun Bai, Chenbin Zhang, 2020, SIGIR.

Discrete Auto-regressive Variational Attention Models for Text Modeling

Zenglin Xu, Irwin King, Xianghong Fang, 2020 .

Budget constrained non-monotonic feature selection

Zenglin Xu, Michael R. Lyu, Irwin King, 2015, Neural Networks.

Machine Reading Comprehension: Matching and Orders

Zenglin Xu, Chenbin Zhang, Lizhen Qu, 2019, CIKM.

Learning With Incomplete Labels

Zenglin Xu, Zhongfei Zhang, Yingming Li, 2018, AAAI.

A Novel Discriminative Naive Bayesian Network for Classification

Zenglin Xu, Kaizhu Huang, Zhangbing Zhou, 2007 .

Relation-Guided Representation Learning

Zenglin Xu, Xiao Lu, Jian Liang, 2020, Neural Networks.

Latent Dirichlet allocation based generative adversarial networks

Zenglin Xu, Lili Pan, Shen Cheng, 2020, Neural Networks.

Supervised Self-taught Learning: Actively transferring knowledge from unlabeled data

Zenglin Xu, Michael R. Lyu, Kaizhu Huang, 2009, 2009 International Joint Conference on Neural Networks.

Kernel tapering: A simple and effective approach to sparse kernels for image processing

Zenglin Xu, Jan P. Allebach, Bin Shen, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Heavy-Tailed Symmetric Stochastic Neighbor Embedding

Zenglin Xu, Erkki Oja, Zhirong Yang, 2009, NIPS.

Structured Pruning of Recurrent Neural Networks through Neuron Selection

Zenglin Xu, Xueyang Zhang, Haoli Bai, 2020, Neural Networks.

Self-Paced Multi-Task Clustering

Zenglin Xu, Dezhong Yao, Yazhou Ren, 2018, Neurocomputing.

ReadNet: Towards Accurate ReID with Limited and Noisy Samples pdf

Zenglin Xu, Yitian Li, Qing Xu, 2020, ArXiv.

Discriminative Semi-Supervised Feature Selection Via Manifold Regularization

Zenglin Xu, Michael R. Lyu, Irwin King, 2009, IEEE Transactions on Neural Networks.

BT-Nets: Simplifying Deep Neural Networks via Block Term Decomposition pdf

Zenglin Xu, Di Chen, Shuicheng Yan, 2017, ArXiv.

An Extended Level Method for Efficient Multiple Kernel Learning

Zenglin Xu, Rong Jin, Michael R. Lyu, 2008, NIPS.

MultiFace: A Generic Training Mechanism for Boosting Face Recognition Performance

Zenglin Xu, Jing Xu, Fan Ye, 2021 .

Contextualized Code Representation Learning for Commit Message Generation pdf

Zenglin Xu, Wai Lam, Yang Liu, 2020, ArXiv.

Association Study of Alzheimer's Disease with Tree-Guided Sparse Canonical Correlation Analysis

Zenglin Xu, Shuai Yuan, Shangchen Zhou, 2018, ICONIP.

Multiple Partitions Aligned Clustering pdf

Zenglin Xu, Siying Wang, Shudong Huang, 2019, IJCAI.

Adaptive Regularization for Transductive Support Vector Machine

Zenglin Xu, Rong Jin, Michael R. Lyu, 2009, NIPS.

A novel kernel-based maximum a posteriori classification method

Zenglin Xu, Michael R. Lyu, Kaizhu Huang, 2009, Neural Networks.

Two birds with one stone: Transforming and generating facial images with iterative GAN

Zenglin Xu, Bin Liu, Jiayu Zhou, 2020, Neurocomputing.

Learning with Marginalized Corrupted Features and Labels Together

Zenglin Xu, Ming Yang, Zhongfei Zhang, 2016, AAAI.

Mutual Information Gradient Estimation for Representation Learning pdf

Zenglin Xu, Mingyuan Zhou, Liangjian Wen, 2020, ICLR.

Knowledge Base Completion by Variational Bayesian Neural Tensor Decomposition

Zenglin Xu, Bin Liu, Yafang Wang, 2018, Cognitive Computation.

Self-Paced Deep Regression Forests with Consideration on Underrepresented Samples

Zenglin Xu, Yazhou Ren, Lili Pan, 2020, ECCV.

Causal Inference for Mixed-Type Data in Additive Noise Models

Zenglin Xu, Xin Liu, Ping Guo, 2020, ICONIP.

Additive Adversarial Learning for Unbiased Authentication

Zenglin Xu, Chenbin Zhang, Shiyu Chang, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Superneurons: dynamic GPU memory management for training deep neural networks

Zenglin Xu, Wei Wu, Tim Kraska, 2018, PPoPP.

Efficient Communications in Training Large Scale Neural Networks

Zenglin Xu, George Bosilca, Richard W. Vuduc, 2017, ACM Multimedia.

Learning with unlabeled data

Zenglin Xu, Michael R. Lyu, Irwin King, 2009 .

Unified Spectral Clustering with Optimal Graph pdf

Zenglin Xu, Zhao Kang, Chong Peng, 2017, AAAI.

Online Learning for Group Lasso

Zenglin Xu, Michael R. Lyu, Irwin King, 2010, ICML.

Block-term tensor neural networks

Zenglin Xu, Di Chen, Shandian Zhe, 2020, Neural Networks.

Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification pdf

Zenglin Xu, Zhao Kang, Xiao Lu, 2018, IJCAI.

Supervised Heterogeneous Multiview Learning for Joint Association Study and Disease Diagnosis pdf

Zenglin Xu, Yuan Qi, Peng Yu, 2013, ArXiv.

Nonnegative matrix factorization with adaptive neighbors

Zenglin Xu, Fei Wang, Shudong Huang, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Two Birds with One Stone: Iteratively Learn Facial Attributes with GANs pdf

Zenglin Xu, Bin Liu, Zhao Kang, 2017, ArXiv.

Large-scale Multi-view Subspace Clustering in Linear Time

Zenglin Xu, Zhitong Zhao, Junming Shao, 2019, AAAI.

Auto-weighted multi-view co-clustering with bipartite graphs

Zenglin Xu, Ivor W. Tsang, Shudong Huang, 2020, Inf. Sci..

Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition pdf

Zenglin Xu, Jing Xu, Maolin Wang, 2018, AAAI.

Word Embedding based New Corpus for Low-resourced Language: Sindhi

Zenglin Xu, Jay Kumar, Junyu Lu, 2019 .

Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition

Zenglin Xu, Di Chen, Xinqi Chu, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Structure Learning with Similarity Preserving

Zenglin Xu, Xiao Lu, Chong Peng, 2019, Neural Networks.

Robust multi-view data clustering with multi-view capped-norm K-means

Zenglin Xu, Yazhou Ren, Shudong Huang, 2018, Neurocomputing.

A New Corpus for Low-Resourced Sindhi Language with Word Embeddings pdf

Zenglin Xu, Jay Kumar, Junyu Lu, 2019, ArXiv.

SiNER: A Large Dataset for Sindhi Named Entity Recognition

Zenglin Xu, Junyu Lu, Wazir Ali, 2020, LREC.

DinTucker: Scaling Up Gaussian Process Models on Large Multidimensional Arrays

Zenglin Xu, Yuan Qi, Ian Molloy, 2016, AAAI.

Coherence and Salience-Based Multi-Document Relationship Mining

Zenglin Xu, Yongpan Sheng, 2019, APWeb/WAIM.

Kernel Maximum a Posteriori Classification with Error Bound Analysis

Zenglin Xu, Michael R. Lyu, Kaizhu Huang, 2007, ICONIP.

Knowledge Fusion via Joint Tensor and Matrix Factorization

Zenglin Xu, Gerard de Melo, Yafang Wang, 2019, Cognitive Computation.

A combination model based on transfer learning for waste classification

Zenglin Xu, Guangyan Huang, Jing He, 2020, Concurr. Comput. Pract. Exp..

Efficient Convex Relaxation for Transductive Support Vector Machine

Zenglin Xu, Rong Jin, Michael R. Lyu, 2007, NIPS.

Self-paced and auto-weighted multi-view clustering

Zenglin Xu, Peng Zhao, Minghao Han, 2020, Neurocomputing.

Distributed Flexible Nonlinear Tensor Factorization

Zenglin Xu, Zoubin Ghahramani, Kai Zhang, 2016, NIPS.

Scalable Nonparametric Multiway Data Analysis

Zenglin Xu, Yuan Qi, Xinqi Chu, 2015, AISTATS.

Association Discovery and Diagnosis of Alzheimer's Disease with Bayesian Multiview Learning

Zenglin Xu, Yuan Qi, Peng Yu, 2016, J. Artif. Intell. Res..

Partition level multiview subspace clustering

Zenglin Xu, Chong Peng, Xi Peng, 2019, Neural Networks.

Robust Softmax Regression for Multi-class Classification with Self-Paced Learning

Zenglin Xu, Peng Zhao, Dezhong Yao, 2017, IJCAI.

Deep Embedded Multi-view Clustering with Collaborative Training pdf

Zenglin Xu, Ce Zhu, Jie Xu, 2020, Inf. Sci..

Semi-supervised Learning from General Unlabeled Data

Zenglin Xu, Michael R. Lyu, Kaizhu Huang, 2008, 2008 Eighth IEEE International Conference on Data Mining.

Multi-view Subspace Clustering via Partition Fusion pdf

Zenglin Xu, Boyu Wang, Luping Ji, 2019, Inf. Sci..

Multi-document semantic relation extraction for news analytics

Zenglin Xu, Gerard de Melo, Yafang Wang, 2020, World Wide Web.

Link prediction by exploiting network formation games in exchangeable graphs

Zenglin Xu, Shijun Liu, Gerard de Melo, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Manifold regularized matrix completion for multilabel classification

Zenglin Xu, Fei Wang, Bin Liu, 2016, Pattern Recognit. Lett..

Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network

Zenglin Xu, Yingming Li, Haoli Bai, 2016, ACML.

Visualizing Multi-document Semantics via Open Domain Information Extraction

Zenglin Xu, Xiangyu Zhang, Gerard de Melo, 2018, ECML/PKDD.

Auto-weighted multi-view clustering via kernelized graph learning

Zenglin Xu, Zhao Kang, Ivor W. Tsang, 2019, Pattern Recognit..

InfTucker: t-Process based Infinite Tensor Decomposition pdf

Zenglin Xu, Feng Yan, Yuan Qi, 2011, ArXiv.

Heuristic Rank Selection with Progressively Searching Tensor Ring Network pdf

Zenglin Xu, Dongbin Zhao, Yu Pan, 2020, ArXiv.

MINIMAX PROBABILITY MACHINE

Zenglin Xu, Michael R. Lyu, I Rwin King, 2007 .

Learning with Feature Network and Label Network Simultaneously

Zenglin Xu, Ming Yang, Zhongfei Zhang, 2017, AAAI.

Parallel boosted clustering

Zenglin Xu, Uday Kamath, Carlotta Domeniconi, 2019, Neurocomputing.

Stochastic Sequential Neural Networks with Structured Inference pdf

Zenglin Xu, Hao Liu, Haoli Bai, 2017, ArXiv.

Latent Dirichlet Allocation in Generative Adversarial Networks pdf

Zenglin Xu, Jian Liu, Yazhou Ren, 2018, ArXiv.

Deep Density-based Image Clustering

Zenglin Xu, Ni Wang, Yazhou Ren, 2018, Knowl. Based Syst..

Deep K-Means: A Simple and Effective Method for Data Clustering

Zenglin Xu, Shudong Huang, Zhao Kang, 2020 .

A Subword Guided Neural Word Segmentation Model for Sindhi pdf

Zenglin Xu, Jay Kumar, Junyu Lu, 2020, ArXiv.

Mark-Guided Segmentation of Ultrasonic Thyroid Nodules Using Deep Learning

Zenglin Xu, Hao Wu, Hong Wu, 2018, ISICDM 2018.

Nystrom Approximation for Sparse Kernel Methods: Theoretical Analysis and Empirical Evaluation

Zenglin Xu, Rong Jin, Bin Shen, 2015, AAAI.

Self-weighted multi-view clustering with soft capped norm

Zenglin Xu, Zhao Kang, Shudong Huang, 2018, Knowl. Based Syst..

Structured Inference for Recurrent Hidden Semi-markov Model

Zenglin Xu, Bo Dai, Hao Liu, 2018, IJCAI.

Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis

Zenglin Xu, Jian Liu, Yong Dai, 2020, AAAI.

Sparse Matrix-Variate t Process Blockmodels

Zenglin Xu, Feng Yan, Yuan Qi, 2011, AAAI.

Semi-supervised DenPeak Clustering with Pairwise Constraints

Zenglin Xu, Xiaohui Hu, Ke Shi, 2018, PRICAI.

Regularized nonnegative matrix factorization with adaptive local structure learning

Zenglin Xu, Yazhou Ren, Shudong Huang, 2020, Neurocomputing.

Deep Minimax Probability Machine

Zenglin Xu, Kaizhu Huang, Lirong He, 2019, 2019 International Conference on Data Mining Workshops (ICDMW).

Learning from Others: User Anomaly Detection Using Anomalous Samples from Other Users

Zenglin Xu, Ninghui Li, Ian Molloy, 2015, ESORICS.

Multi-graph Fusion for Multi-view Spectral Clustering

Zenglin Xu, Joey Tianyi Zhou, Shudong Huang, 2019, Knowl. Based Syst..

Simple and Efficient Multiple Kernel Learning by Group Lasso

Zenglin Xu, Rong Jin, Michael R. Lyu, 2010, ICML.

Constructing Interpretive Spatio-Temporal Features for Multi-Turn Responses Selection

Zenglin Xu, Chenbin Zhang, Guang Ling, 2019, ACL.

Robust Graph Learning From Noisy Data

Zenglin Xu, Zhao Kang, Steven C. H. Hoi, 2018, IEEE Transactions on Cybernetics.

Auto-weighted multi-view clustering via deep matrix decomposition

Zenglin Xu, Shudong Huang, Zhao Kang, 2020, Pattern Recognit..

DART: Domain-Adversarial Residual-Transfer Networks for Unsupervised Cross-Domain Image Classification

Zenglin Xu, Bin Shen, Steven C. H. Hoi, 2018, Neural Networks.

Zenglin Xu, Zhao Kang, Changsheng Li, 2019, AAAI.

CRaDLe: Deep Code Retrieval Based on Semantic Dependency Learning pdf

Zenglin Xu, Michael R. Lyu, Hongyu Zhang, 2020, ArXiv.

Smooth Optimization for Effective Multiple Kernel Learning

Zenglin Xu, Rong Jin, Michael R. Lyu, 2010, AAAI.

TensorD: A tensor decomposition library in TensorFlow

Zenglin Xu, Jinmian Ye, Siqi Liang, 2018, Neurocomputing.

Sparse Bayesian Multiview Learning for Simultaneous Association Discovery and Diagnosis of Alzheimer's Disease

Zenglin Xu, Yuan Qi, Peng Yu, 2015, AAAI.

Regularized Multi-source Matrix Factorization for Diagnosis of Alzheimer's Disease

Zenglin Xu, Jiayu Zhou, Yazhou Ren, 2017, ICONIP.

Feature Selection Based on Minimum Error minimax Probability Machine

Zenglin Xu, Michael R. Lyu, Irwin King, 2007, Int. J. Pattern Recognit. Artif. Intell..

Manifold regularized matrix completion for multi-label learning with ADMM

Zenglin Xu, Yingming Li, Bin Liu, 2018, Neural Networks.

Tensor Ring Restricted Boltzmann Machines

Zenglin Xu, Maolin Wang, Chenbin Zhang, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Introduction to Semi-Supervised Learning

Zenglin Xu, Irwin King, Zenglin Xu, 2021 .

Web page classification with heterogeneous data fusion

Zenglin Xu, Michael R. Lyu, Irwin King, 2007, WWW '07.

Exact and Stable Recovery of Pairwise Interaction Tensors

Zenglin Xu, Michael R. Lyu, Irwin King, 2013, NIPS.

Improving Contextual Language Models for Response Retrieval in Multi-Turn Conversation

Zenglin Xu, Junyu Lu, Ao Liu, 2020, SIGIR.

Robust Metric Learning by Smooth Optimization

Zenglin Xu, Rong Jin, Kaizhu Huang, 2010, UAI.

Consensus Guided Multiple Match Removal for Geometry Verification in Image Retrieval

Zenglin Xu, Hong Wu, Xing Heng, 2016, MMM.

Detecting Insider Information Theft Using Features from File Access Logs

Zenglin Xu, Ninghui Li, Ian Molloy, 2014, ESORICS.

On Model Robustness Against Adversarial Examples pdf

Zenglin Xu, Kaizhu Huang, Shufei Zhang, 2019, ArXiv.

Multi-Level Multimodal Transformer Network for Multimodal Recipe Comprehension

Zenglin Xu, Shuai Yuan, Kun Bai, 2020, SIGIR.

Low-rank kernel learning for graph-based clustering

Zenglin Xu, Zhao Kang, Wenyu Chen, 2019, Knowl. Based Syst..

Self-paced and soft-weighted nonnegative matrix factorization for data representation

Zenglin Xu, Peng Zhao, Tianrui Li, 2019, Knowl. Based Syst..

Non-monotonic Feature Selection for Regression

Zenglin Xu, Michael R. Lyu, Irwin King, 2014, ICONIP.

Balanced self-paced learning with feature corruption

Zenglin Xu, Peng Zhao, Dezhong Yao, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Learning to Search Efficient DenseNet with Layer-wise Pruning

Zenglin Xu, Zhanxing Zhu, Xuanyang Zhang, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Feature Selection with Particle Swarms

Zenglin Xu, Yu Liu, Zheng Qin, 2004, CIS.

Semi-supervised text categorization by active search

Zenglin Xu, Rong Jin, Michael R. Lyu, 2008, CIKM '08.

Combining Multi-Perspective Attention Mechanism With Convolutional Networks for Monaural Speech Enhancement

Zenglin Xu, Tian Lan, Qiao Liu, 2020, IEEE Access.

Sparse matrix-variate Gaussian process blockmodels for network modeling

Zenglin Xu, Feng Yan, Yuan Qi, 2011, UAI.

Robust graph regularized nonnegative matrix factorization for clustering

Zenglin Xu, Tao Li, Tianrui Li, 2017, Data Mining and Knowledge Discovery.

Self-Paced Multi-Task Multi-View Capped-norm Clustering

Zenglin Xu, Zechuan Hu, Xin Yan, 2018, ICONIP.

Neural Relational Topic Models for Scientific Article Analysis

Zenglin Xu, Michael R. Lyu, Irwin King, 2018, CIKM.

Multi-View Learning with Limited and Noisy Tagging

Zenglin Xu, Ming Yang, Zhongfei Zhang, 2016, IJCAI.

Structured Graph Learning for Clustering and Semi-supervised Classification pdf

Zenglin Xu, Chong Peng, Xi Peng, 2020, Pattern Recognit..

Discrete Variational Attention Models for Language Generation pdf

Zenglin Xu, Irwin King, Xianghong Fang, 2020, ArXiv.

Joint Association Discovery and Diagnosis of Alzheimer's Disease by Supervised Heterogeneous Multiview Learning

Zenglin Xu, Yuan Qi, Peng Yu, 2013, Pacific Symposium on Biocomputing.

Variational Random Function Model for Network Modeling

Zenglin Xu, Bin Liu, Jennifer Neville, 2019, IEEE Transactions on Neural Networks and Learning Systems.

A Two-Stage Multi-task Learning-Based Method for Selective Unsupervised Domain Adaptation

Zenglin Xu, Jian Zhang, Shuai Yuan, 2019, 2019 International Conference on Data Mining Workshops (ICDMW).

Efficient Sparse Generalized Multiple Kernel Learning

Zenglin Xu, Jieping Ye, Michael R. Lyu, 2011, IEEE Transactions on Neural Networks.

NeuralCP: Bayesian Multiway Data Analysis with Neural Tensor Decomposition

Zenglin Xu, Yingming Li, Bin Liu, 2018, Cognitive Computation.

Non-monotonic feature selection

Zenglin Xu, Jieping Ye, Rong Jin, 2009, ICML '09.

Maximum Margin based Semi-supervised Spectral Kernel Learning

Zenglin Xu, Michael R. Lyu, Irwin King, 2007, 2007 International Joint Conference on Neural Networks.

Simple and efficient parallelization for probabilistic temporal tensor factorization

Zenglin Xu, Michael R. Lyu, Irwin King, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

An Effective Approach to 3D Deformable Surface Tracking

Zenglin Xu, Michael R. Lyu, Steven C. H. Hoi, 2008, ECCV.

RegNet: Self-Regulated Network for Image Classification pdf

Zenglin Xu, Jing Xu, Steven Hoi, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Adaptive local structure learning for document co-clustering

Zenglin Xu, Jiancheng Lv, Shudong Huang, 2018, Knowl. Based Syst..

Learning from semantically dependent multi-tasks

Zenglin Xu, Bo Dai, Yazhou Ren, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Clustering with Similarity Preserving pdf

Zenglin Xu, Zhao Kang, Boyu Wang, 2019, Neurocomputing.

CDD: Multi-view Subspace Clustering via Cross-view Diversity Detection

Zenglin Xu, Ivor W. Tsang, Shudong Huang, 2021, ACM Multimedia.

Graph-Based Semi-Supervised Learning: A Comprehensive Review pdf

Zenglin Xu, Irwin King, Zixing Song, 2021, IEEE Transactions on Neural Networks and Learning Systems.

ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE pdf

Zenglin Xu, Shiyu Liu, Lirong He, 2021, NeurIPS.

Unsupervised Sentiment Analysis by Transferring Multi-source Knowledge

Zenglin Xu, Yong Dai, Jian Zhang, 2021, Cognitive Computation.

Measuring Diversity in Graph Learning: A Unified Framework for Structured Multi-View Clustering

Zenglin Xu, Shudong Huang, Ivor Tsang, 2021, IEEE Transactions on Knowledge and Data Engineering.

AFINet: Attentive Feature Integration Networks for Image Classification pdf

Zenglin Xu, Kun Bai, Xinglin Pan, 2021, Neural Networks.

MultiFace: A Generic Training Mechanism for Boosting Face Recognition Performance pdf

Zenglin Xu, Jing Xu, Kun Bai, 2021, Neurocomputing.

Contrastive Disentanglement in Generative Adversarial Networks pdf

Zenglin Xu, Zhiyong Chen, Lili Pan, 2021, ArXiv.

TedNet: A Pytorch Toolkit for Tensor Decomposition Networks

Zenglin Xu, Yu Pan, Maolin Wang, 2022, Neurocomputing.

FedLab: A Flexible Federated Learning Framework pdf

Zenglin Xu, Xiangjing Hu, Siqi Liang, 2021, ArXiv.

Graph Fusion Network for Text Classification

Zenglin Xu, Ming Gong, Zhao Kang, 2021, Knowl. Based Syst..

Angular Triplet Loss-based Camera Network for ReID

Zenglin Xu, Jing Xu, Yitian Li, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Graph Partner Neural Networks for Semi-Supervised Learning on Graphs pdf

Zenglin Xu, Cuiyun Gao, Lei Wang, 2021, ArXiv.

Gradient estimation of information measures in deep learning

Zenglin Xu, Haoli Bai, Lirong He, 2021, Knowl. Based Syst..

Pseudo-Supervised Deep Subspace Clustering

Zenglin Xu, Zhao Kang, Juncheng Lv, 2021, IEEE Transactions on Image Processing.

Domain adaptation with feature and label adversarial networks

Zenglin Xu, Kaizhu Huang, Zhao Kang, 2021, Neurocomputing.

Context-Aware Bidirectional Neural Model for Sindhi Named Entity Recognition

Zenglin Xu, Yazhou Ren, Jay Kumar, 2021, Applied Sciences.

Boosting Few-Shot Classification with View-Learnable Contrastive Learning pdf

Zenglin Xu, Lili Pan, Xu Luo, 2021, 2021 IEEE International Conference on Multimedia and Expo (ICME).

Kernel Selection for Stein Variational Gradient Descent pdf

Zenglin Xu, Shiyu Liu, Qingzhong Ai, 2021, ArXiv.

Machine learning based early mortality prediction in the emergency department

Zenglin Xu, Yazhou Ren, Xiaorong Pu, 2021, Int. J. Medical Informatics.

Robust deep k-means: An effective and simple method for data clustering

Zenglin Xu, Shudong Huang, Zhao Kang, 2021, Pattern Recognit..

A Survey on Deep Semi-Supervised Learning pdf

Zenglin Xu, Irwin King, Zixing Song, 2021, IEEE Transactions on Knowledge and Data Engineering.

Creating and Evaluating Resources for Sentiment Analysis in the Low-resource Language: Sindhi

Zenglin Xu, Saifullah Tumrani, Jay Kumar, 2021, WASSA.

Discrete Auto-regressive Variational Attention Models for Text Modeling

Zenglin Xu, Michael R. Lyu, Irwin King, 2020, 2021 International Joint Conference on Neural Networks (IJCNN).

Label-Aware Distribution Calibration for Long-tailed Classification pdf

Zenglin Xu, Wenjie Pei, Cuiyun Gao, 2021, IEEE transactions on neural networks and learning systems.

Rectifying the Shortcut Learning of Background: Shared Object Concentration for Few-Shot Image Recognition pdf

Zenglin Xu, Longhui Wei, Jinrong Yang, 2021, ArXiv.

Contextualized Code Representation Learning for Commit Message Generation

Zenglin Xu, Wai Lam, Yang Liu, 2020, Neurocomputing.

Rectifying the Shortcut Learning of Background for Few-Shot Learning

Zenglin Xu, Longhui Wei, Qi Tian, 2021, NeurIPS.

Byzantine Resistant Secure Blockchained Federated Learning at the Edge

Zenglin Xu, Gang Sun, Long Luo, 2021, IEEE Network.

Tensor Decomposition via Variational Auto-Encoder

Zenglin Xu, Bin Liu, Yingming Li, 2016, 1611.00866.

Assessment of Intensive Care Unit Laboratory Values That Differ From Reference Ranges and Association With Patient Mortality and Length of Stay

Zenglin Xu, Leo Anthony Celi, Mengling Feng, 2018, JAMA network open.