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2020 – today
- 2023
[j75]Youcheng Pan, Baotian Hu
, Shiyue Wang, Xiaolong Wang, Qingcai Chen, Zenglin Xu, Min Zhang:
Learning to generate complex question with intent prediction from long passage. Appl. Intell. 53(5): 5823-5833 (2023)- [j74]Qingzhong Ai, Shiyu Liu, Lirong He, Zenglin Xu:
Stein Variational Gradient Descent with Multiple Kernels. Cogn. Comput. 15(2): 672-682 (2023) - [j73]Lirong He, Qingzhong Ai, Yuqing Lei, Lili Pan, Yazhou Ren, Zenglin Xu:
Edge enhancement improves adversarial robustness in image classification. Neurocomputing 518: 122-132 (2023) - [j72]Dun Zeng, Siqi Liang, Xiangjing Hu, Hui Wang, Zenglin Xu:
FedLab: A Flexible Federated Learning Framework. J. Mach. Learn. Res. 24: 100:1-100:7 (2023) - [j71]Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv:
Latent Representation Guided Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 35(7): 7082-7087 (2023) - [j70]Shudong Huang, Yixi Liu, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv:
Multi-View Subspace Clustering by Joint Measuring of Consistency and Diversity. IEEE Trans. Knowl. Data Eng. 35(8): 8270-8281 (2023) - [j69]Xiangli Yang, Zixing Song, Irwin King, Zenglin Xu:
A Survey on Deep Semi-Supervised Learning. IEEE Trans. Knowl. Data Eng. 35(9): 8934-8954 (2023) - [c118]Zongmo Huang, Yazhou Ren, Xiaorong Pu, Shudong Huang, Zenglin Xu, Lifang He:
Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering. AAAI 2023: 7936-7943 - [c117]Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Zenglin Xu, Shaoliang Nie, Sinong Wang, Madian Khabsa, Hamed Firooz, Dongfang Liu:
MUSTIE: Multimodal Structural Transformer for Web Information Extraction. ACL (1) 2023: 2405-2420 - [c116]Zhuo Zhang, Xiangjing Hu, Jingyuan Zhang, Yating Zhang, Hui Wang, Lizhen Qu, Zenglin Xu:
FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP. ACL (1) 2023: 3492-3507 - [c115]Zhuo Zhang, Yuanhang Yang, Yong Dai, Qifan Wang, Yue Yu, Lizhen Qu, Zenglin Xu:
FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models. ACL (Findings) 2023: 9963-9977 - [c114]Li Yang, Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Yu Chen, Madian Khabsa, Sinong Wang, Zenglin Xu, Dongfang Liu:
MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction. ACL (Findings) 2023: 9978-9991 - [c113]Qingzhong Ai, Pengyun Wang, Lirong He, Liangjian Wen, Lujia Pan, Zenglin Xu:
Generative Oversampling for Imbalanced Data via Majority-Guided VAE. AISTATS 2023: 3315-3330 - [c112]Terry Yue Zhuo, Yaqing Liao, Yuecheng Lei, Lizhen Qu, Gerard de Melo, Xiaojun Chang, Yazhou Ren, Zenglin Xu:
ViLPAct: A Benchmark for Compositional Generalization on Multimodal Human Activities. EACL (Findings) 2023: 2147-2162 - [c111]Liqi Yan, Cheng Han, Zenglin Xu, Dongfang Liu, Qifan Wang:
Prompt Learns Prompt: Exploring Knowledge-Aware Generative Prompt Collaboration For Video Captioning. IJCAI 2023: 1622-1630 - [c110]Yiduo Li, Shiyi Qi, Zhe Li, Zhongwen Rao, Lujia Pan, Zenglin Xu:
SMARTformer: Semi-Autoregressive Transformer with Efficient Integrated Window Attention for Long Time Series Forecasting. IJCAI 2023: 2169-2177 - [c109]Xiangjing Hu, Congjian Luo, Dun Zeng, Zenglin Xu, Ping Guo, Irwin King:
Flexible Contribution Estimation Methods for Horizontal Federated Learning. IJCNN 2023: 1-8 - [c108]Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Shuang Qin, Hui Wang, Yue Yu, Zenglin Xu:
Practical privacy-preserving Gaussian process regression via secret sharing. UAI 2023: 1315-1325 - [c107]Mirko Polato, Roberto Esposito, Walter Riviera, Zenglin Xu, Irwin King:
1st Workshop on Federated Learning Technologies. WWW (Companion Volume) 2023: 1150 - [c106]Yifei Zhang, Dun Zeng, Jinglong Luo, Zenglin Xu, Irwin King:
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness and Privacy. WWW (Companion Volume) 2023: 1167-1176 - [i94]Zhe Li, Zhongwen Rao, Lujia Pan, Pengyun Wang, Zenglin Xu:
Ti-MAE: Self-Supervised Masked Time Series Autoencoders. CoRR abs/2301.08871 (2023) - [i93]Zhe Li, Zhongwen Rao, Lujia Pan, Zenglin Xu:
MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing. CoRR abs/2302.04501 (2023) - [i92]Maolin Wang, Yu Pan, Xiangli Yang, Guangxi Li, Zenglin Xu:
Tensor Networks Meet Neural Networks: A Survey. CoRR abs/2302.09019 (2023) - [i91]Yifei Zhang, Dun Zeng, Jinglong Luo, Zenglin Xu, Irwin King:
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy. CoRR abs/2302.10637 (2023) - [i90]Qingzhong Ai, Pengyun Wang, Lirong He, Liangjian Wen, Lujia Pan, Zenglin Xu:
Generative Oversampling for Imbalanced Data via Majority-Guided VAE. CoRR abs/2302.10910 (2023) - [i89]Dun Zeng, Xiangjing Hu, Shiyu Liu, Yue Yu, Qifan Wang, Zenglin Xu:
Stochastic Clustered Federated Learning. CoRR abs/2303.00897 (2023) - [i88]Ying Mo, Hongyin Tang, Jiahao Liu, Qifan Wang, Zenglin Xu, Jingang Wang, Wei Wu, Zhoujun Li:
Multi-task Transformer with Relation-attention and Type-attention for Named Entity Recognition. CoRR abs/2303.10870 (2023) - [i87]Shiyi Qi, Yuanhang Yang, Shuzheng Gao, Cuiyun Gao, Zenglin Xu:
BadCS: A Backdoor Attack Framework for Code search. CoRR abs/2305.05503 (2023) - [i86]Zhe Li, Shiyi Qi, Yiduo Li, Zenglin Xu:
Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping. CoRR abs/2305.10721 (2023) - [i85]Maolin Wang, Yaoming Zhen, Yu Pan, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao:
Tensorized Hypergraph Neural Networks. CoRR abs/2306.02560 (2023) - [i84]Bin Hu, Chenyang Zhao, Pu Zhang, Zihao Zhou, Yuanhang Yang, Zenglin Xu, Bin Liu:
Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning Approach. CoRR abs/2306.03604 (2023) - [i83]Siqi Liang, Jintao Huang, Dun Zeng, Junyuan Hong, Jiayu Zhou, Zenglin Xu:
FedNoisy: Federated Noisy Label Learning Benchmark. CoRR abs/2306.11650 (2023) - [i82]Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Shuang Qin, Hui Wang, Yue Yu, Zenglin Xu:
Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing. CoRR abs/2306.14498 (2023) - [i81]Shiyu Liu, Shaogao Lv, Dun Zeng, Zenglin Xu, Hui Wang, Yue Yu:
Personalized Federated Learning via Amortized Bayesian Meta-Learning. CoRR abs/2307.02222 (2023) - 2022
- [j68]Yu Pan, Maolin Wang, Zenglin Xu:
TedNet: A Pytorch toolkit for tensor decomposition networks. Neurocomputing 469: 234-238 (2022) - [j67]Qian Zhang, Wei Shi, Steven Hoi, Zenglin Xu:
Non-uniform Nyström approximation for sparse kernel regression: Theoretical analysis and experimental evaluation. Neurocomputing 501: 410-419 (2022) - [j66]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. IEEE Internet Things J. 9(18): 17844-17857 (2022) - [j65]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) - [j64]Qian Zhang, Zhao Kang, Zenglin Xu, Shudong Huang, Hongguang Fu:
Spaks: Self-paced multiple kernel subspace clustering with feature smoothing regularization. Knowl. Based Syst. 253: 109500 (2022) - [j63]Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv:
Multiple partitions alignment via spectral rotation. Mach. Learn. 111(3): 1049-1072 (2022) - [j62]Shufei Zhang, Kaizhu Huang, Zenglin Xu:
Re-thinking model robustness from stability: a new insight to defend adversarial examples. Mach. Learn. 111(7): 2489-2513 (2022) - [j61]Xinglin Pan, Jing Xu, Yu Pan, Liangjian Wen, Wenxiang Lin, Kun Bai, Hongguang Fu, Zenglin Xu:
AFINet: Attentive Feature Integration Networks for image classification. Neural Networks 155: 360-368 (2022) - [j60]Shudong Huang, Wei Shi, Zenglin Xu, Ivor W. Tsang, Jiancheng Lv:
Efficient federated multi-view learning. Pattern Recognit. 131: 108817 (2022) - [j59]Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv:
Measuring Diversity in Graph Learning: A Unified Framework for Structured Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 34(12): 5869-5883 (2022) - [j58]Shaogao Lv, Linsen Wei, Qian Zhang, Bin Liu, Zenglin Xu:
Improved Inference for Imputation-Based Semisupervised Learning Under Misspecified Setting. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6346-6359 (2022) - [j57]Zonghang Li, Huaman Zhou, Tianyao Zhou, Hongfang Yu, Zenglin Xu, Gang Sun:
ESync: Accelerating Intra-Domain Federated Learning in Heterogeneous Data Centers. IEEE Trans. Serv. Comput. 15(4): 2261-2274 (2022) - [c105]Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv, Quanhui Liu:
Multi-View Clustering on Topological Manifold. AAAI 2022: 6944-6951 - [c104]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 - [c103]Qifan Wang, Li Yang, Xiaojun Quan, Fuli Feng, Dongfang Liu, Zenglin Xu, Sinong Wang, Hao Ma:
Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation. EMNLP 2022: 46-61 - [c102]Qifan Wang, Li Yang, Jingang Wang, Jitin Krishnan, Bo Dai, Sinong Wang, Zenglin Xu, Madian Khabsa, Hao Ma:
SMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction. EMNLP (Findings) 2022: 263-276 - [c101]Yazheng Li, Pengyun Wang, Yasheng Wang, Yong Dai, Yadao Wang, Lujia Pan, Zenglin Xu:
Leveraging Only the Category Name for Aspect Detection through Prompt-based Constrained Clustering. EMNLP (Findings) 2022: 1352-1364 - [c100]Zhuo Zhang, Xiangjing Hu, Lizhen Qu, Qifan Wang, Zenglin Xu:
Federated Model Decomposition with Private Vocabulary for Text Classification. EMNLP 2022: 6413-6425 - [c99]Jingquan Wang, Jing Xu, Yu Pan, Zenglin Xu:
Semantically Proportional Patchmix for Few-Shot Learning. ICASSP 2022: 1895-1899 - [c98]Ge Fan, Chaoyun Zhang, Junyang Chen, Baopu Li, Zenglin Xu, Yingjie Li, Luyu Peng, Zhiguo Gong:
Field-aware Variational Autoencoders for Billion-scale User Representation Learning. ICDE 2022: 3413-3425 - [c97]Xu Luo, Jing Xu, Zenglin Xu:
Channel Importance Matters in Few-Shot Image Classification. ICML 2022: 14542-14559 - [c96]Yu Pan, Zeyong Su, Ao Liu, Jingquan Wang, Nannan Li, Zenglin Xu:
A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks. ICML 2022: 17238-17257 - [c95]Fangfei Lin, Bing Bai, Kun Bai, Yazhou Ren, Peng Zhao, Zenglin Xu:
Contrastive Multi-view Hyperbolic Hierarchical Clustering. IJCAI 2022: 3250-3256 - [c94]Chenbin Zhang, Xiangli Yang, Jian Liang, Bing Bai, Kun Bai, Irwin King, Zenglin Xu:
ACE: A Coarse-to-Fine Learning Framework for Reliable Representation Learning Against Label Noise. IJCNN 2022: 1-8 - [c93]Shudong Huang, Yixi Liu, Yazhou Ren, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv:
Learning Smooth Representation for Multi-view Subspace Clustering. ACM Multimedia 2022: 3421-3429 - [c92]Shudong Huang, Hongjie Wu, Yazhou Ren, Ivor W. Tsang, Zenglin Xu, Wentao Feng, Jiancheng Lv:
Multi-view Subspace Clustering on Topological Manifold. NeurIPS 2022 - [c91]Jing Xu, Xu Luo, Xinglin Pan, Yanan Li, Wenjie Pei, Zenglin Xu:
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid. NeurIPS 2022 - [c90]Zi Gong, Cuiyun Gao, Yasheng Wang, Wenchao Gu, Yun Peng, Zenglin Xu:
Source Code Summarization with Structural Relative Position Guided Transformer. SANER 2022: 13-24 - [i80]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) - [i79]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) - [i78]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) - [i77]Jingquan Wang, Jing Xu, Yu Pan, Zenglin Xu:
Semantically Proportional Patchmix for Few-Shot Learning. CoRR abs/2202.08647 (2022) - [i76]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) - [i75]Fangfei Lin, Bing Bai, Kun Bai, Yazhou Ren, Peng Zhao, Zenglin Xu:
Contrastive Multi-view Hyperbolic Hierarchical Clustering. CoRR abs/2205.02618 (2022) - [i74]Dun Zeng, Shiyu Liu, Zenglin Xu:
Aggregating Gradients in Encoded Domain for Federated Learning. CoRR abs/2205.13216 (2022) - [i73]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) - [i72]Xu Luo, Jing Xu, Zenglin Xu:
Channel Importance Matters in Few-Shot Image Classification. CoRR abs/2206.08126 (2022) - [i71]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) - [i70]Yaoxian Li, Shiyi Qi, Cuiyun Gao, Yun Peng, David Lo, Zenglin Xu, Michael R. Lyu:
A Closer Look into Transformer-Based Code Intelligence Through Code Transformation: Challenges and Opportunities. CoRR abs/2207.04285 (2022) - [i69]Yuanhang Yang, Shiyi Qi, Cuiyun Gao, Zenglin Xu, Yulan He, Qifan Wang, Chuanyi Liu:
Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling. CoRR abs/2210.05261 (2022) - [i68]Terry Yue Zhuo, Yaqing Liao, Yuecheng Lei, Lizhen Qu, Gerard de Melo, Xiaojun Chang, Yazhou Ren, Zenglin Xu:
ViLPAct: A Benchmark for Compositional Generalization on Multimodal Human Activities. CoRR abs/2210.05556 (2022) - [i67]Jing Xu, Xu Luo, Xinglin Pan, Wenjie Pei, Yanan Li, Zenglin Xu:
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid. CoRR abs/2210.16834 (2022) - [i66]Zi Gong, Yinpeng Guo, Pingyi Zhou, Cuiyun Gao, Yasheng Wang, Zenglin Xu:
MultiCoder: Multi-Programming-Lingual Pre-Training for Low-Resource Code Completion. CoRR abs/2212.09666 (2022) - [i65]Zhuo Zhang, Yuanhang Yang, Yong Dai, Lizhen Qu, Zenglin Xu:
When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods. CoRR abs/2212.10025 (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) - [c89]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 - [c88]Xu Luo, Yuxuan Chen, Liangjian Wen, Lili Pan, Zenglin Xu:
Boosting Few-Shot Classification with View-Learnable Contrastive Learning. ICME 2021: 1-6 - [c87]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 - [c86]Yitian Li, Ruini Xue, Mengmeng Zhu, Jing Xu, Zenglin Xu:
Angular Triplet Loss-based Camera Network for ReID. IJCNN 2021: 1-7 - [c85]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 - [c84]Qingzhong Ai, Lirong He, Shiyu Liu, Zenglin Xu:
ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE. NeurIPS 2021: 5910-5920 - [c83]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 - [c82]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]