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2020 – today
- 2022
[j59]Yu Pan, Maolin Wang, Zenglin Xu:
TedNet: A Pytorch toolkit for tensor decomposition networks. Neurocomputing 469: 234-238 (2022)- [j58]Yong Dai
, Linjun Shou, Ming Gong, Xiaolin Xia, Zhao Kang, Zenglin Xu, Daxin Jiang:
Graph Fusion Network for Text Classification. Knowl. Based Syst. 236: 107659 (2022) - [j57]Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv:
Multiple partitions alignment via spectral rotation. Mach. Learn. 111(3): 1049-1072 (2022) - [c90]Shenglai Zeng, Zonghang Li, Hongfang Yu, Yihong He, Zenglin Xu, Dusit Niyato, Han Yu:
Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training. DASFAA (2) 2022: 455-471 - [c89]Jingquan Wang, Jing Xu, Yu Pan, Zenglin Xu:
Semantically Proportional Patchmix for Few-Shot Learning. ICASSP 2022: 1895-1899 - [i74]Shenglai Zeng, Zonghang Li, Hongfang Yu, Yihong He, Zenglin Xu, Dusit Niyato, Han Yu:
Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training. CoRR abs/2201.12976 (2022) - [i73]Zonghang Li, Yihong He, Hongfang Yu, Jiawen Kang, Xiaoping Li, Zenglin Xu, Dusit Niyato:
Data Heterogeneity-Robust Federated Learning via Group Client Selection in Industrial IoT. CoRR abs/2202.01512 (2022) - [i72]Zi Gong, Cuiyun Gao, Yasheng Wang, Wenchao Gu, Yun Peng, Zenglin Xu:
Source Code Summarization with Structural Relative Position Guided Transformer. CoRR abs/2202.06521 (2022) - [i71]Jingquan Wang, Jing Xu, Yu Pan, Zenglin Xu:
Semantically Proportional Patchmix for Few-Shot Learning. CoRR abs/2202.08647 (2022) - [i70]Linyang Li, Yong Dai, Duyu Tang, Zhangyin Feng, Cong Zhou, Xipeng Qiu, Zenglin Xu, Shuming Shi:
MarkBERT: Marking Word Boundaries Improves Chinese BERT. CoRR abs/2203.06378 (2022) - [i69]Fangfei Lin, Bing Bai, Kun Bai, Yazhou Ren, Peng Zhao, Zenglin Xu:
Contrastive Multi-view Hyperbolic Hierarchical Clustering. CoRR abs/2205.02618 (2022) - [i68]Dun Zeng, Shiyu Liu, Zenglin Xu:
Aggregating Gradients in Encoded Domain for Federated Learning. CoRR abs/2205.13216 (2022) - [i67]Yu Pan, Zeyong Su, Ao Liu, Jingquan Wang, Nannan Li, Zenglin Xu:
A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks. CoRR abs/2205.15307 (2022) - [i66]Xu Luo, Jing Xu, Zenglin Xu:
Channel Importance Matters in Few-Shot Image Classification. CoRR abs/2206.08126 (2022) - [i65]Langzhang Liang, Zenglin Xu, Zixing Song, Irwin King, Jieping Ye:
ResNorm: Tackling Long-tailed Degree Distribution Issue in Graph Neural Networks via Normalization. CoRR abs/2206.08181 (2022) - 2021
- [j56]Yong Dai, Jian Liu, Jian Zhang, Hongguang Fu, Zenglin Xu:
Unsupervised Sentiment Analysis by Transferring Multi-source Knowledge. Cogn. Comput. 13(5): 1185-1197 (2021) - [j55]Cong Li, Zhuo Zhang, Yazhou Ren, Hu Nie, Yuqing Lei, Hang Qiu, Zenglin Xu, Xiaorong Pu:
Machine learning based early mortality prediction in the emergency department. Int. J. Medical Informatics 155: 104570 (2021) - [j54]Peng Zhao, Wenhua Zang, Bin Liu, Zhao Kang, Kun Bai, Kaizhu Huang, Zenglin Xu:
Domain adaptation with feature and label adversarial networks. Neurocomputing 439: 294-301 (2021) - [j53]Jing Xu, Tszhang Guo, Yong Xu, Zenglin Xu, Kun Bai:
MultiFace: A generic training mechanism for boosting face recognition performance. Neurocomputing 448: 40-47 (2021) - [j52]Lun Yiu Nie, Cuiyun Gao, Zhicong Zhong, Wai Lam, Yang Liu, Zenglin Xu:
CoreGen: Contextualized Code Representation Learning for Commit Message Generation. Neurocomputing 459: 97-107 (2021) - [j51]Juncheng Lv, Zhao Kang, Boyu Wang, Luping Ji, Zenglin Xu:
Multi-view subspace clustering via partition fusion. Inf. Sci. 560: 410-423 (2021) - [j50]Jie Xu, Yazhou Ren, Guofeng Li, Lili Pan, Ce Zhu, Zenglin Xu:
Deep embedded multi-view clustering with collaborative training. Inf. Sci. 573: 279-290 (2021) - [j49]Liangjian Wen, Haoli Bai, Lirong He, Yiji Zhou, Mingyuan Zhou, Zenglin Xu:
Gradient estimation of information measures in deep learning. Knowl. Based Syst. 224: 107046 (2021) - [j48]Zonghang Li, Hongfang Yu, Tianyao Zhou, Long Luo, Mochan Fan, Zenglin Xu, Gang Sun:
Byzantine Resistant Secure Blockchained Federated Learning at the Edge. IEEE Netw. 35(4): 295-301 (2021) - [j47]Wenchao Gu, Zongjie Li, Cuiyun Gao, Chaozheng Wang, Hongyu Zhang, Zenglin Xu, Michael R. Lyu:
CRaDLe: Deep code retrieval based on semantic Dependency Learning. Neural Networks 141: 385-394 (2021) - [j46]Zhao Kang, Chong Peng, Qiang Cheng, Xinwang Liu, Xi Peng, Zenglin Xu, Ling Tian:
Structured graph learning for clustering and semi-supervised classification. Pattern Recognit. 110: 107627 (2021) - [j45]Shudong Huang, Zhao Kang, Zenglin Xu, Quanhui Liu:
Robust deep k-means: An effective and simple method for data clustering. Pattern Recognit. 117: 107996 (2021) - [j44]Juncheng Lv, Zhao Kang, Xiao Lu, Zenglin Xu:
Pseudo-Supervised Deep Subspace Clustering. IEEE Trans. Image Process. 30: 5252-5263 (2021) - [c88]Jia Zeng, Yu Zhou, Yicheng Yang, Zenglin Xu, Hongwei Zhang, Honghai Liu:
Robustness of Combined sEMG and Ultrasound Modalities Against Muscle Fatigue in Force Estimation. ICIRA (3) 2021: 213-221 - [c87]Xu Luo, Yuxuan Chen, Liangjian Wen, Lili Pan, Zenglin Xu:
Boosting Few-Shot Classification with View-Learnable Contrastive Learning. ICME 2021: 1-6 - [c86]Xianghong Fang, Haoli Bai, Jian Li, Zenglin Xu, Michael R. Lyu, Irwin King:
Discrete Auto-regressive Variational Attention Models for Text Modeling. IJCNN 2021: 1-8 - [c85]Yitian Li, Ruini Xue, Mengmeng Zhu, Jing Xu, Zenglin Xu:
Angular Triplet Loss-based Camera Network for ReID. IJCNN 2021: 1-7 - [c84]Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv, Quanhui Liu:
CDD: Multi-view Subspace Clustering via Cross-view Diversity Detection. ACM Multimedia 2021: 2308-2316 - [c83]Qingzhong Ai, Lirong He, Shiyu Liu, Zenglin Xu:
ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE. NeurIPS 2021: 5910-5920 - [c82]Xu Luo, Longhui Wei, Liangjian Wen, Jinrong Yang, Lingxi Xie, Zenglin Xu, Qi Tian:
Rectifying the Shortcut Learning of Background for Few-Shot Learning. NeurIPS 2021: 13073-13085 - [c81]Wazir Ali, Naveed Ali, Yong Dai, Jay Kumar, Saifullah Tumrani, Zenglin Xu:
Creating and Evaluating Resources for Sentiment Analysis in the Low-resource Language: Sindhi. WASSA@EACL 2021: 188-194 - [i64]Jing Xu, Yu Pan, Xinglin Pan, Steven C. H. Hoi, Zhang Yi, Zenglin Xu:
RegNet: Self-Regulated Network for Image Classification. CoRR abs/2101.00590 (2021) - [i63]Jing Xu, Tszhang Guo, Zenglin Xu, Kun Bai:
MultiFace: A Generic Training Mechanism for Boosting Face Recognition Performance. CoRR abs/2101.09899 (2021) - [i62]Zixing Song, Xiangli Yang, Zenglin Xu, Irwin King:
Graph-based Semi-supervised Learning: A Comprehensive Review. CoRR abs/2102.13303 (2021) - [i61]Xiangli Yang, Zixing Song, Irwin King, Zenglin Xu:
A Survey on Deep Semi-supervised Learning. CoRR abs/2103.00550 (2021) - [i60]Lili Pan, Peijun Tang, Zhiyong Chen, Zenglin Xu:
Contrastive Disentanglement in Generative Adversarial Networks. CoRR abs/2103.03636 (2021) - [i59]Ping Guo, Kaizhu Huang, Zenglin Xu:
Partial Differential Equations is All You Need for Generating Neural Architectures - A Theory for Physical Artificial Intelligence Systems. CoRR abs/2103.08313 (2021) - [i58]Juncheng Lv, Zhao Kang, Xiao Lu, Zenglin Xu:
Pseudo-supervised Deep Subspace Clustering. CoRR abs/2104.03531 (2021) - [i57]Yu Pan, Maolin Wang, Zenglin Xu:
TedNet: A Pytorch Toolkit for Tensor Decomposition Networks. CoRR abs/2104.05018 (2021) - [i56]Xinglin Pan, Jing Xu, Yu Pan, Liangjian Wen, Wenxiang Lin, Kun Bai, Zenglin Xu:
AFINet: Attentive Feature Integration Networks for Image Classification. CoRR abs/2105.04354 (2021) - [i55]Yong Dai, Jian Liu, Jian Zhang, Hongguang Fu, Zenglin Xu:
Unsupervised Sentiment Analysis by Transferring Multi-source Knowledge. CoRR abs/2105.11902 (2021) - [i54]Xianghong Fang, Haoli Bai, Jian Li, Zenglin Xu, Michael R. Lyu, Irwin King:
Discrete Auto-regressive Variational Attention Models for Text Modeling. CoRR abs/2106.08571 (2021) - [i53]Xu Luo, Longhui Wei, Liangjian Wen, Jinrong Yang, Lingxi Xie, Zenglin Xu, Qi Tian:
Rectifying the Shortcut Learning of Background: Shared Object Concentration for Few-Shot Image Recognition. CoRR abs/2107.07746 (2021) - [i52]Xu Luo, Yuxuan Chen, Liangjian Wen, Lili Pan, Zenglin Xu:
Boosting Few-Shot Classification with View-Learnable Contrastive Learning. CoRR abs/2107.09242 (2021) - [i51]Qingzhong Ai, Lirong He, Liangjian Wen, Shiyu Liu, Zenglin Xu:
ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE. CoRR abs/2107.09286 (2021) - [i50]Qingzhong Ai, Shiyu Liu, Zenglin Xu:
Kernel Selection for Stein Variational Gradient Descent. CoRR abs/2107.09338 (2021) - [i49]Dun Zeng, Siqi Liang, Xiangjing Hu, Zenglin Xu:
FedLab: A Flexible Federated Learning Framework. CoRR abs/2107.11621 (2021) - [i48]Langzhang Liang, Cuiyun Gao, Shiyi Chen, Shishi Duan, Yu Pan, Junjin Zheng, Lei Wang, Zenglin Xu:
Graph Partner Neural Networks for Semi-Supervised Learning on Graphs. CoRR abs/2110.09182 (2021) - [i47]Chaozheng Wang, Shuzheng Gao, Cuiyun Gao, Pengyun Wang, Wenjie Pei, Lujia Pan, Zenglin Xu:
Label-Aware Distribution Calibration for Long-tailed Classification. CoRR abs/2111.04901 (2021) - [i46]Lili Pan, Mingming Meng, Yazhou Ren, Yali Zheng, Zenglin Xu:
Self-Paced Deep Regression Forests with Consideration on Ranking Fairness. CoRR abs/2112.06455 (2021) - [i45]Jing Xu, Xinglin Pan, Xu Luo, Wenjie Pei, Zenglin Xu:
Exploring Category-correlated Feature for Few-shot Image Classification. CoRR abs/2112.07224 (2021) - 2020
- [j43]Tian Lan, Yilan Lyu, Wenzheng Ye, Guoqiang Hui, Zenglin Xu, Qiao Liu:
Combining Multi-Perspective Attention Mechanism With Convolutional Networks for Monaural Speech Enhancement. IEEE Access 8: 78979-78991 (2020) - [j42]Zengguang Hao, Yafang Wang, Zining Liu, Gerard de Melo, Zenglin Xu:
Knowledge Fusion via Joint Tensor and Matrix Factorization. Cogn. Comput. 12(3): 642-653 (2020) - [j41]Guang-Li Huang, Jing He, Zenglin Xu, Guangyan Huang:
A combination model based on transfer learning for waste classification. Concurr. Comput. Pract. Exp. 32(19) (2020) - [j40]Shudong Huang, Zenglin Xu, Zhao Kang, Yazhou Ren:
Regularized nonnegative matrix factorization with adaptive local structure learning. Neurocomputing 382: 196-209 (2020) - [j39]Yazhou Ren, Shudong Huang, Peng Zhao, Minghao Han, Zenglin Xu:
Self-paced and auto-weighted multi-view clustering. Neurocomputing 383: 248-256 (2020) - [j38]Dan Ma, Bin Liu, Zhao Kang, Jiayu Zhou, Jianke Zhu, Zenglin Xu:
Two birds with one stone: Transforming and generating facial images with iterative GAN. Neurocomputing 396: 278-290 (2020) - [j37]Shudong Huang, Zenglin Xu, Ivor W. Tsang, Zhao Kang:
Auto-weighted multi-view co-clustering with bipartite graphs. Inf. Sci. 512: 18-30 (2020) - [j36]Zhao Kang, Guoxin Shi, Shudong Huang, Wenyu Chen, Xiaorong Pu, Joey Tianyi Zhou, Zenglin Xu:
Multi-graph fusion for multi-view spectral clustering. Knowl. Based Syst. 189 (2020) - [j35]Yazhou Ren, Ni Wang, Mingxia Li, Zenglin Xu:
Deep density-based image clustering. Knowl. Based Syst. 197: 105841 (2020) - [j34]Zhao Kang, Xinjia Zhao, Chong Peng, Hongyuan Zhu, Joey Tianyi Zhou, Xi Peng, Wenyu Chen, Zenglin Xu:
Partition level multiview subspace clustering. Neural Networks 122: 279-288 (2020) - [j33]Liangjian Wen, Xuanyang Zhang, Haoli Bai, Zenglin Xu:
Structured pruning of recurrent neural networks through neuron selection. Neural Networks 123: 134-141 (2020) - [j32]Xianghong Fang, Haoli Bai, Ziyi Guo, Bin Shen, Steven C. H. Hoi, Zenglin Xu:
DART: Domain-Adversarial Residual-Transfer networks for unsupervised cross-domain image classification. Neural Networks 127: 182-192 (2020) - [j31]Zhao Kang, Xiao Lu, Yiwei Lu, Chong Peng, Wenyu Chen, Zenglin Xu:
Structure learning with similarity preserving. Neural Networks 129: 138-148 (2020) - [j30]Jinmian Ye, Guangxi Li, Di Chen, Haiqin Yang, Shandian Zhe, Zenglin Xu:
Block-term tensor neural networks. Neural Networks 130: 11-21 (2020) - [j29]Zhao Kang, Xiao Lu, Jian Liang, Kun Bai, Zenglin Xu:
Relation-Guided Representation Learning. Neural Networks 131: 93-102 (2020) - [j28]Lili Pan, Shen Cheng, Jian Liu, Peijun Tang, Bowen Wang, Yazhou Ren, Zenglin Xu:
Latent Dirichlet allocation based generative adversarial networks. Neural Networks 132: 461-476 (2020) - [j27]Shudong Huang, Zhao Kang, Zenglin Xu:
Auto-weighted multi-view clustering via deep matrix decomposition. Pattern Recognit. 97 (2020) - [j26]Zhao Kang, Haiqi Pan, Steven C. H. Hoi, Zenglin Xu:
Robust Graph Learning From Noisy Data. IEEE Trans. Cybern. 50(5): 1833-1843 (2020) - [j25]Yongpan Sheng, Zenglin Xu, Yafang Wang, Gerard de Melo:
Multi-document semantic relation extraction for news analytics. World Wide Web 23(3): 2043-2077 (2020) - [c80]Zhao Kang, Wangtao Zhou, Zhitong Zhao, Junming Shao, Meng Han, Zenglin Xu:
Large-Scale Multi-View Subspace Clustering in Linear Time. AAAI 2020: 4412-4419 - [c79]Yong Dai, Jian Liu, Xiancong Ren, Zenglin Xu:
Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis. AAAI 2020: 7618-7625 - [c78]Lili Pan, Shijie Ai, Yazhou Ren, Zenglin Xu:
Self-Paced Deep Regression Forests with Consideration on Underrepresented Examples. ECCV (30) 2020: 271-287 - [c77]Liangjian Wen, Yiji Zhou, Lirong He, Mingyuan Zhou, Zenglin Xu:
Mutual Information Gradient Estimation for Representation Learning. ICLR 2020 - [c76]Xin Liu, Zenglin Xu, Ping Guo:
Causal Inference for Mixed-Type Data in Additive Noise Models. ICONIP (2) 2020: 223-234 - [c75]Maolin Wang, Zeyong Su, Xu Luo, Yu Pan, Shenggen Zheng, Zenglin Xu:
Concatenated Tensor Networks for Deep Multi-Task Learning. ICONIP (5) 2020: 517-525 - [c74]Xuanyang Zhang, Hao Liu, Zhanxing Zhu, Zenglin Xu:
Learning to Search Efficient DenseNet with Layer-wise Pruning. IJCNN 2020: 1-8 - [c73]Wazir Ali, Junyu Lu, Zenglin Xu:
SiNER: A Large Dataset for Sindhi Named Entity Recognition. LREC 2020: 2953-2961 - [c72]Ao Liu, Shuai Yuan, Chenbin Zhang, Congjian Luo, Yaqing Liao, Kun Bai, Zenglin Xu:
Multi-Level Multimodal Transformer Network for Multimodal Recipe Comprehension. SIGIR 2020: 1781-1784 - [c71]Junyu Lu, Xiancong Ren, Yazhou Ren, Ao Liu, Zenglin Xu:
Improving Contextual Language Models for Response Retrieval in Multi-Turn Conversation. SIGIR 2020: 1805-1808 - [c70]Chenbin Zhang, Congjian Luo, Junyu Lu, Ao Liu, Bing Bai, Kun Bai, Zenglin Xu:
Read, Attend, and Exclude: Multi-Choice Reading Comprehension by Mimicking Human Reasoning Process. SIGIR 2020: 1945-1948 - [i44]Lili Pan, Shijie Ai, Yazhou Ren, Zenglin Xu:
Self-Paced Deep Regression Forests with Consideration on Underrepresented Samples. CoRR abs/2004.01459 (2020) - [i43]Xianghong Fang, Haoli Bai, Zenglin Xu, Michael R. Lyu, Irwin King:
Discrete Variational Attention Models for Language Generation. CoRR abs/2004.09764 (2020) - [i42]Liangjian Wen, Yiji Zhou, Lirong He, Mingyuan Zhou, Zenglin Xu:
Mutual Information Gradient Estimation for Representation Learning. CoRR abs/2005.01123 (2020) - [i41]Yitian Li, Ruini Xue, Mengmeng Zhu, Qing Xu, Zenglin Xu:
ReadNet: Towards Accurate ReID with Limited and Noisy Samples. CoRR abs/2005.05740 (2020) - [i40]Yong Dai, Jian Liu, Xiancong Ren, Zenglin Xu:
Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis. CoRR abs/2006.05602 (2020) - [i39]Zhao Kang, Xiao Lu, Jian Liang, Kun Bai, Zenglin Xu:
Relation-Guided Representation Learning. CoRR abs/2007.05742 (2020) - [i38]Lun Yiu Nie, Cuiyun Gao, Zhicong Zhong, Wai Lam, Yang Liu, Zenglin Xu:
Contextualized Code Representation Learning for Commit Message Generation. CoRR abs/2007.06934 (2020) - [i37]Jie Xu, Yazhou Ren, Guofeng Li, Lili Pan, Ce Zhu, Zenglin Xu:
Deep Embedded Multi-view Clustering with Collaborative Training. CoRR abs/2007.13067 (2020) - [i36]Zhao Kang, Chong Peng, Qiang Cheng, Xinwang Liu, Xi Peng, Zenglin Xu, Ling Tian:
Structured Graph Learning for Clustering and Semi-supervised Classification. CoRR abs/2008.13429 (2020) - [i35]Nannan Li, Yu Pan, Yaran Chen, Zixiang Ding, Dongbin Zhao, Zenglin Xu:
Heuristic Rank Selection with Progressively Searching Tensor Ring Network. CoRR abs/2009.10580 (2020) - [i34]Jinmian Ye, Guangxi Li, Di Chen, Haiqin Yang, Shandian Zhe, Zenglin Xu:
Block-term Tensor Neural Networks. CoRR abs/2010.04963 (2020) - [i33]Wenchao Gu, Zongjie Li, Cuiyun Gao, Chaozheng Wang, Hongyu Zhang, Zenglin Xu, Michael R. Lyu:
CRaDLe: Deep Code Retrieval Based on Semantic Dependency Learning. CoRR abs/2012.01028 (2020) - [i32]Wazir Ali, Jay Kumar, Zenglin Xu, Congjian Luo, Junyu Lu, Junming Shao, Rajesh Kumar, Yazhou Ren:
A Subword Guided Neural Word Segmentation Model for Sindhi. CoRR abs/2012.15079 (2020)
2010 – 2019
- 2019
- [j24]Yazhou Ren, Kangrong Hu, Xinyi Dai, Lili Pan, Steven C. H. Hoi, Zenglin Xu:
Semi-supervised deep embedded clustering. Neurocomputing 325: 121-130 (2019) - [j23]Yazhou Ren, Xiaofan Que, Dezhong Yao, Zenglin Xu:
Self-paced multi-task clustering. Neurocomputing 350: 212-220 (2019) - [j22]Yazhou Ren, Uday Kamath, Carlotta Domeniconi, Zenglin Xu:
Parallel boosted clustering. Neurocomputing 351: 87-100 (2019) - [j21]Zhao Kang, Honghui Xu, Boyu Wang, Hongyuan Zhu, Zenglin Xu:
Clustering with similarity preserving. Neurocomputing 365: 211-218 (2019) - [j20]Zhao Kang, Liangjian Wen, Wenyu Chen, Zenglin Xu:
Low-rank kernel learning for graph-based clustering. Knowl. Based Syst. 163: 510-517 (2019) - [j19]Shudong Huang, Peng Zhao, Yazhou Ren, Tianrui Li, Zenglin Xu:
Self-paced and soft-weighted nonnegative matrix factorization for data representation. Knowl. Based Syst. 164: 29-37 (2019) - [j18]Shudong Huang, Zhao Kang, Ivor W. Tsang, Zenglin Xu:
Auto-weighted multi-view clustering via kernelized graph learning. Pattern Recognit. 88: 174-184 (2019) - [j17]Zenglin Xu, Bin Liu, Shandian Zhe, Haoli Bai, Zihan Wang, Jennifer Neville:
Variational Random Function Model for Network Modeling. IEEE Trans. Neural Networks Learn. Syst. 30(1): 318-324 (2019) - [c69]Zhao Kang, Yiwei Lu, Yuanzhang Su, Changsheng Li, Zenglin Xu:
Similarity Learning via Kernel Preserving Embedding. AAAI 2019: 4057-4064 - [c68]Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu:
Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition. AAAI 2019: 4683-4690 - [c67]Junyu Lu, Chenbin Zhang, Zeying Xie, Guang Ling, Tom Chao Zhou, Zenglin Xu:
Constructing Interpretive Spatio-Temporal Features for Multi-Turn Responses Selection. ACL (1) 2019: 44-50 - [c66]Yongpan Sheng, Zenglin Xu:
Coherence and Salience-Based Multi-Document Relationship Mining. APWeb/WAIM (1) 2019: 414-430 - [c65]Ao Liu, Lizhen Qu, Junyu Lu, Chenbin Zhang, Zenglin Xu:
Machine Reading Comprehension: Matching and Orders. CIKM 2019: 2057-2060 - [c64]Jian Liang, Yuren Cao, Chenbin Zhang, Shiyu Chang, Kun Bai, Zenglin Xu:
Additive Adversarial Learning for Unbiased Authentication. CVPR 2019: 11428-11437 - [c63]Yong Dai, Jian Zhang, Shuai Yuan, Zenglin Xu:
A Two-Stage Multi-task Learning-Based Method for Selective Unsupervised Domain Adaptation. ICDM Workshops 2019: 863-868 - [c62]Lirong He, Ziyi Guo, Kaizhu Huang, Zenglin Xu:
Deep Minimax Probability Machine. ICDM Workshops 2019: 869-876 - [c61]Zhonghui You, Jinmian Ye, Kunming Li, Zenglin Xu, Ping Wang:
Adversarial Noise Layer: Regularize Neural Network by Adding Noise. ICIP 2019: 909-913 - [c60]Zhao Kang, Zipeng Guo, Shudong Huang, Siying Wang, Wenyu Chen, Yuanzhang Su, Zenglin Xu:
Multiple Partitions Aligned Clustering. IJCAI 2019: 2701-2707 - [c59]Maolin Wang, Chenbin Zhang, Yu Pan, Jing Xu, Zenglin Xu:
Tensor Ring Restricted Boltzmann Machines. IJCNN 2019: 1-8 - [i31]Zhao Kang, Yiwei Lu, Yuanzhang Su, Changsheng Li, Zenglin Xu:
Similarity Learning via Kernel Preserving Embedding. CoRR abs/1903.04235 (2019) - [i30]Zhao Kang, Liangjian Wen, Wenyu Chen, Zenglin Xu:
Low-rank Kernel Learning for Graph-based Clustering. CoRR abs/1903.05962 (2019) - [i29]Jian Liang, Yuren Cao, Chenbin Zhang, Shiyu Chang, Kun Bai, Zenglin Xu:
Additive Adversarial Learning for Unbiased Authentication. CoRR abs/1905.06517 (2019) - [i28]Zhao Kang, Honghui Xu, Boyu Wang, Hongyuan Zhu, Zenglin Xu:
Clustering with Similarity Preserving. CoRR abs/1905.08419 (2019) - [i27]Liangjiang Wen, Xueyang Zhang, Haoli Bai, Zenglin Xu:
Structured Pruning of Recurrent Neural Networks through Neuron Selection. CoRR abs/1906.06847 (2019) - [i26]