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2020 – today
- 2024
[j96]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. RLJ 3: 1289-1305 (2024)- [j95]Wazir Ali, Jay Kumar, Saifullah Tumani, Redhwan Nour, Adeeb Noor, Zenglin Xu:
Enhancing Sindhi Word Segmentation Using Subword Representation Learning and Position-Aware Self-Attention. IEEE Access 12: 183133-183142 (2024) - [j94]Shujiong Tang
, Yue Yu, Hui Wang, Guiliang Wang, Wuhui Chen, Zenglin Xu, Song Guo, Wen Gao:
A Survey on Scheduling Techniques in Computing and Network Convergence. IEEE Commun. Surv. Tutorials 26(1): 160-195 (2024) - [j93]Renhao Lu, Weizhe Zhang, Qiong Li, Hui He, Xiaoxiong Zhong, Hongwei Yang, Desheng Wang, Zenglin Xu, Mamoun Alazab:
Adaptive asynchronous federated learning. Future Gener. Comput. Syst. 152: 193-206 (2024) - [j92]Ruixi Li, Zenglin Xu, Jing Xu, Xinglin Pan, Hong Wu, Xiaobo Huang, Mengling Feng:
Predicting intubation for intensive care units patients: A deep learning approach to improve patient management. Int. J. Medical Informatics 186: 105425 (2024) - [j91]Shiyu Liu, Jinglong Luo, Yehong Zhang, Hui Wang, Yue Yu, Zenglin Xu:
Efficient privacy-preserving Gaussian process via secure multi-party computation. J. Syst. Archit. 151: 103134 (2024) - [j90]Ge Fan, Chaoyun Zhang, Kai Wang, Yingjie Li, Junyang Chen, Zenglin Xu:
CUPID: Improving Battle Fairness and Position Satisfaction in Online MOBA Games with a Re-matchmaking System. Proc. ACM Hum. Comput. Interact. 8(CSCW2): 1-39 (2024) - [j89]Liangjian Wen, Xiasi Wang, Jianzhuang Liu, Zenglin Xu:
MVEB: Self-Supervised Learning With Multi-View Entropy Bottleneck. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 6097-6108 (2024) - [j88]Wenzhe Ouyang, Zenglin Xu, Jing Xu, Qifan Wang, Yong Xu:
MixingMask: A contour-aware approach for joint object detection and instance segmentation. Pattern Recognit. 155: 110620 (2024) - [j87]Zheshun Wu, Zenglin Xu, Hongfang Yu, Jie Liu:
Information-Theoretic Generalization Analysis for Topology-Aware Heterogeneous Federated Edge Learning Over Noisy Channels. IEEE Signal Process. Lett. 31: 691-695 (2024) - [j86]Ying Mo, Jiahao Liu, Hongyin Tang, Qifan Wang, Zenglin Xu, Jingang Wang, Xiaojun Quan, Wei Wu, Zhoujun Li:
Multi-Task Multi-Attention Transformer for Generative Named Entity Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4171-4183 (2024) - [j85]Langzhang Liang, Zenglin Xu, Zixing Song, Irwin King, Yuan Qi, Jieping Ye:
Tackling Long-Tailed Distribution Issue in Graph Neural Networks via Normalization. IEEE Trans. Knowl. Data Eng. 36(5): 2213-2223 (2024) - [j84]Yuze Tan, Yixi Liu, Hongjie Wu, Shudong Huang, Zenglin Xu, Ivor W. Tsang, Jiancheng Lv:
Euclidean Distance is Not Your Swiss Army Knife. IEEE Trans. Knowl. Data Eng. 36(12): 8179-8191 (2024) - [j83]Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv:
CGDD: Multiview Graph Clustering via Cross-Graph Diversity Detection. IEEE Trans. Neural Networks Learn. Syst. 35(3): 4206-4219 (2024) - [j82]Chaozheng Wang, Shuzheng Gao, Pengyun Wang, Cuiyun Gao, Wenjie Pei, Lujia Pan, Zenglin Xu:
Label-Aware Distribution Calibration for Long-Tailed Classification. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6963-6975 (2024) - [j81]Yuanhang Yang, Wei He, Cuiyun Gao, Zenglin Xu, Xin Xia, Chuanyi Liu:
TopicAns: Topic-informed Architecture for Answer Recommendation on Technical Q&A Site. ACM Trans. Softw. Eng. Methodol. 33(1): 20:1-20:25 (2024) - [j80]Zheshun Wu, Zenglin Xu, Dun Zeng, Junfan Li, Jie Liu:
Topology Learning for Heterogeneous Decentralized Federated Learning Over Unreliable D2D Networks. IEEE Trans. Veh. Technol. 73(8): 12201-12206 (2024) - [c146]Wenzhe Ouyang, Xiaolin Song, Bailan Feng, Zenglin Xu:
OctOcc: High-Resolution 3D Occupancy Prediction with Octree. AAAI 2024: 4369-4377 - [c145]Junjie Chen, Jiahao Li, Chen Song, Bin Li, Qingcai Chen, Hongchang Gao, Wendy Hui Wang, Zenglin Xu, Xinghua Shi:
Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks. AAAI 2024: 11338-11345 - [c144]Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang, Lifeng Shang, Xin Jiang, Qun Liu:
Preparing Lessons for Progressive Training on Language Models. AAAI 2024: 18860-18868 - [c143]Yuanhang Yang, Shiyi Qi, Wenchao Gu, Chaozheng Wang, Cuiyun Gao, Zenglin Xu:
XMoE: Sparse Models with Fine-grained and Adaptive Expert Selection. ACL (Findings) 2024: 11664-11674 - [c142]Jinglong Luo, Yehong Zhang, Zhuo Zhang, Jiaqi Zhang, Xin Mu, Hui Wang, Yue Yu, Zenglin Xu:
SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC. ACL (Findings) 2024: 13333-13348 - [c141]Guanzhong Chen, Zhenghan Qin, Mingxin Yang, Yajie Zhou, Tao Fan, Tianyu Du, Zenglin Xu:
Unveiling the Vulnerability of Private Fine-Tuning in Split-Based Frameworks for Large Language Models: A Bidirectionally Enhanced Attack. CCS 2024: 2904-2918 - [c140]Zhuo Zhang, Jintao Huang, Xiangjing Hu, Jingyuan Zhang, Yating Zhang, Hui Wang, Yue Yu, Qifan Wang, Lizhen Qu, Zenglin Xu:
Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding. LREC/COLING 2024: 14080-14091 - [c139]Li Yang, Qifan Wang, Jianfeng Chi, Jiahao Liu, Jingang Wang, Fuli Feng, Zenglin Xu, Yi Fang, Lifu Huang, Dongfang Liu:
EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction. EMNLP (Findings) 2024: 1491-1505 - [c138]Taowen Wang, Yiyang Liu, James Liang, Junhan Zhao, Yiming Cui, Yuning Mao, Shaoliang Nie, Jiahao Liu, Fuli Feng, Zenglin Xu, Cheng Han, Lifu Huang, Qifan Wang, Dongfang Liu:
M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning. EMNLP 2024: 3723-3740 - [c137]Dun Zeng, Yong Dai, Pengyu Cheng, Longyue Wang, Tianhao Hu, Wanshun Chen, Nan Du, Zenglin Xu:
On Diversified Preferences of Large Language Model Alignment. EMNLP (Findings) 2024: 9194-9210 - [c136]Langzhang Liang, Sunwoo Kim, Kijung Shin, Zenglin Xu, Shirui Pan, Yuan Qi:
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs. ICML 2024 - [c135]Shiyu Liu, Wei Shi, Zenglin Xu, Shaogao Lv, Yehong Zhang, Hui Wang:
Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy. IJCAI 2024: 4578-4586 - [c134]Zixing Song, Xiangli Yang, Yifei Zhang, Xinyu Fu, Zenglin Xu, Irwin King:
A Systematic Survey on Federated Semi-supervised Learning. IJCAI 2024: 8244-8252 - [c133]Hongye Wang, Ruonan Li, Zenglin Xu, JinLong Li, Irwin King, Jie Liu:
Federated Learning for Vehicle Trajectory Prediction: Methodology and Benchmark Study. IJCNN 2024: 1-8 - [c132]Zhihan Guo, Yifei Zhang, Zhuo Zhang, Zenglin Xu, Irwin King:
FedLFC: Towards Efficient Federated Multilingual Modeling with LoRA-based Language Family Clustering. NAACL-HLT (Findings) 2024: 1519-1528 - [c131]Maolin Wang, Yaoming Zhen, Yu Pan, Yao Zhao, Chenyi Zhuang, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao:
Tensorized Hypergraph Neural Networks. SDM 2024: 127-135 - [c130]Irwin King, Guodong Long, Zenglin Xu, Han Yu:
FL@FM-TheWebConf'24: International Workshop on Federated Foundation Models for the Web. WWW (Companion Volume) 2024: 1546-1547 - [c129]Zhihan Guo, Yifei Zhang, Zhuo Zhang, Zenglin Xu, Irwin King:
FedHLT: Efficient Federated Low-Rank Adaption with Hierarchical Language Tree for Multilingual Modeling. WWW (Companion Volume) 2024: 1558-1567 - [i127]Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Xin Mu, Hui Wang, Yue Yu, Zenglin Xu:
SecFormer: Towards Fast and Accurate Privacy-Preserving Inference for Large Language Models. CoRR abs/2401.00793 (2024) - [i126]Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang, Lifeng Shang, Xin Jiang, Qun Liu:
Preparing Lessons for Progressive Training on Language Models. CoRR abs/2401.09192 (2024) - [i125]Maolin Wang, Yu Pan, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Zitao Liu, Langming Liu:
Cumulative Distribution Function based General Temporal Point Processes. CoRR abs/2402.00388 (2024) - [i124]Shiyi Qi, Zenglin Xu, Yiduo Li, Liangjian Wen, Qingsong Wen, Qifan Wang, Yuan Qi:
PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations. CoRR abs/2402.16913 (2024) - [i123]Shiyi Qi, Liangjian Wen, Yiduo Li, Yuanhang Yang, Zhe Li, Zhongwen Rao, Lujia Pan, Zenglin Xu:
Enhancing Multivariate Time Series Forecasting with Mutual Information-driven Cross-Variable and Temporal Modeling. CoRR abs/2403.00869 (2024) - [i122]Zhuo Zhang, Jingyuan Zhang, Jintao Huang, Lizhen Qu, Hongzhi Zhang, Zenglin Xu:
FedPIT: Towards Privacy-preserving and Few-shot Federated Instruction Tuning. CoRR abs/2403.06131 (2024) - [i121]Yuanhang Yang, Shiyi Qi, Wenchao Gu, Chaozheng Wang, Cuiyun Gao, Zenglin Xu:
Enhancing Efficiency in Sparse Models with Sparser Selection. CoRR abs/2403.18926 (2024) - [i120]Liangjian Wen, Xiasi Wang, Jianzhuang Liu, Zenglin Xu:
MVEB: Self-Supervised Learning with Multi-View Entropy Bottleneck. CoRR abs/2403.19078 (2024) - [i119]Junfan Li, Zenglin Xu, Zheshun Wu, Irwin King:
On the Necessity of Collaboration in Online Model Selection with Decentralized Data. CoRR abs/2404.09494 (2024) - [i118]Yiyuan Yang, Ming Jin, Haomin Wen, Chaoli Zhang, Yuxuan Liang, Lintao Ma, Yi Wang, Chenghao Liu, Bin Yang, Zenglin Xu, Jiang Bian, Shirui Pan, Qingsong Wen:
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data. CoRR abs/2404.18886 (2024) - [i117]Langzhang Liang, Sunwoo Kim, Kijung Shin, Zenglin Xu, Shirui Pan, Yuan Qi:
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs. CoRR abs/2405.20652 (2024) - [i116]Li Yang, Qifan Wang, Jianfeng Chi, Jiahao Liu, Jingang Wang, Fuli Feng, Zenglin Xu, Yi Fang, Lifu Huang, Dongfang Liu:
EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction. CoRR abs/2406.06839 (2024) - [i115]Ge Fan, Chaoyun Zhang, Kai Wang, Yingjie Li, Junyang Chen, Zenglin Xu:
CUPID: Improving Battle Fairness and Position Satisfaction in Online MOBA Games with a Re-matchmaking System. CoRR abs/2406.19720 (2024) - [i114]Yiyuan Yang, Zheshun Wu, Yong Chu, Zhenghua Chen, Zenglin Xu, Qingsong Wen:
Intelligent Cross-Organizational Process Mining: A Survey and New Perspectives. CoRR abs/2407.11280 (2024) - [i113]Shengzhong Mao, Chaoli Zhang, Yichi Song, Jindong Wang, Xiao-Jun Zeng, Zenglin Xu, Qingsong Wen:
Time Series Analysis for Education: Methods, Applications, and Future Directions. CoRR abs/2408.13960 (2024) - [i112]Zheshun Wu, Junfan Li, Zenglin Xu, Sumei Sun, Jie Liu:
Online Optimization for Learning to Communicate over Time-Correlated Channels. CoRR abs/2409.00575 (2024) - [i111]Guanzhong Chen, Zhenghan Qin, Mingxin Yang, Yajie Zhou, Tao Fan, Tianyu Du, Zenglin Xu:
Unveiling the Vulnerability of Private Fine-Tuning in Split-Based Frameworks for Large Language Models: A Bidirectionally Enhanced Attack. CoRR abs/2409.00960 (2024) - [i110]Jiaxiang Chen, Song Wang, Zhucong Li, Wayne Xiong, Lizhen Qu, Zenglin Xu, Yuan Qi:
Can we only use guideline instead of shot in prompt? CoRR abs/2409.12979 (2024) - [i109]Taowen Wang, Yiyang Liu, James Chenhao Liang, Junhan Zhao, Yiming Cui, Yuning Mao, Shaoliang Nie, Jiahao Liu, Fuli Feng, Zenglin Xu, Cheng Han, Lifu Huang, Qifan Wang, Dongfang Liu:
M2PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning. CoRR abs/2409.15657 (2024) - [i108]Ao Hu, Dongkai Wang, Yong Dai, Shiyi Qi, Liangjian Wen, Jun Wang, Zhi Chen, Xun Zhou, Zenglin Xu, Jiang Duan:
TimeCNN: Refining Cross-Variable Interaction on Time Point for Time Series Forecasting. CoRR abs/2410.04853 (2024) - [i107]Ziliang Gan, Yu Lu, Dong Zhang, Haohan Li, Che Liu, Jian Liu, Ji Liu, Haipang Wu, Chaoyou Fu, Zenglin Xu, Rongjunchen Zhang, Yong Dai:
MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning. CoRR abs/2411.03314 (2024) - [i106]Yukun Zhang, Guanzhong Chen, Zenglin Xu, Jianyong Wang, Dun Zeng, Junfan Li, Jinghua Wang, Yuan Qi, Irwin King:
FedCVD: The First Real-World Federated Learning Benchmark on Cardiovascular Disease Data. CoRR abs/2411.07050 (2024) - [i105]Dun Zeng, Zheshun Wu, Shiyu Liu, Yu Pan, Xiaoying Tang, Zenglin Xu:
Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization. CoRR abs/2411.16303 (2024) - 2023
- [j79]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) - [j78]Qingzhong Ai, Shiyu Liu, Lirong He, Zenglin Xu:
Stein Variational Gradient Descent with Multiple Kernels. Cogn. Comput. 15(2): 672-682 (2023) - [j77]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) - [j76]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) - [j75]Lirong He, Qingzhong Ai, Xincheng Yang, Yazhou Ren, Qifan Wang, Zenglin Xu:
Boosting adversarial robustness via self-paced adversarial training. Neural Networks 167: 706-714 (2023) - [j74]Ruibin Zhuge, Jinghua Wang, Zenglin Xu, Yong Xu:
Single image denoising with a feature-enhanced network. Neural Networks 168: 313-325 (2023) - [j73]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) - [j72]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) - [j71]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) - [j70]Zixing Song, Xiangli Yang, Zenglin Xu, Irwin King:
Graph-Based Semi-Supervised Learning: A Comprehensive Review. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8174-8194 (2023) - [j69]Jing Xu, Yu Pan, Xinglin Pan, Steven C. H. Hoi, Zhang Yi, Zenglin Xu:
RegNet: Self-Regulated Network for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9562-9567 (2023) - [c128]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 - [c127]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 - [c126]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 - [c125]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 - [c124]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 - [c123]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 - [c122]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 - [c121]Yuanhang Yang, Shiyi Qi, Chuanyi Liu, Qifan Wang, Cuiyun Gao, Zenglin Xu:
Once is Enough: A Light-Weight Cross-Attention for Fast Sentence Pair Modeling. EMNLP 2023: 2800-2806 - [c120]Qifan Wang, Yuning Mao, Jingang Wang, Hanchao Yu, Shaoliang Nie, Sinong Wang, Fuli Feng, Lifu Huang, Xiaojun Quan, Zenglin Xu, Dongfang Liu:
APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models. EMNLP 2023: 9147-9160 - [c119]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. ICASSP 2023: 1-5 - [c118]Fangfei Lin, Bing Bai, Yiwen Guo, Hao Chen, Yazhou Ren, Zenglin Xu:
MHCN: A Hyperbolic Neural Network Model for Multi-view Hierarchical Clustering. ICCV 2023: 16479-16489 - [c117]Maolin Wang, Dun Zeng, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao:
Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization. ICDM 2023: 1361-1366 - [c116]Shiyu Liu, Linsen Wei, Shaogao Lv, Zenglin Xu:
Quantized SGD in Federated Learning: Communication, Optimization and Generalization. ICONIP (9) 2023: 205-217 - [c115]Qian Zhang, Zhao Kang, Zenglin Xu, Hongguang Fu:
Contrastive Kernel Subspace Clustering. ICONIP (5) 2023: 399-410 - [c114]Xiangli Yang, Xinglin Pan, Irwin King, Zenglin Xu:
Generalized Category Discovery with Clustering Assignment Consistency. ICONIP (5) 2023: 535-547 - [c113]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 - [c112]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 - [c111]Xiangjing Hu, Congjian Luo, Dun Zeng, Zenglin Xu, Ping Guo, Irwin King:
Flexible Contribution Estimation Methods for Horizontal Federated Learning. IJCNN 2023: 1-8 - [c110]Yu Pan, Ye Yuan, Yichun Yin, Zenglin Xu, Lifeng Shang, Xin Jiang, Qun Liu:
Reusing Pretrained Models by Multi-linear Operators for Efficient Training. NeurIPS 2023 - [c109]Langzhang Liang, Xiangjing Hu, Zenglin Xu, Zixing Song, Irwin King:
Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily. NeurIPS 2023 - [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 - [i104]Zhe Li, Zhongwen Rao, Lujia Pan, Pengyun Wang, Zenglin Xu:
Ti-MAE: Self-Supervised Masked Time Series Autoencoders. CoRR abs/2301.08871 (2023) - [i103]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) - [i102]Maolin Wang, Yu Pan, Xiangli Yang, Guangxi Li, Zenglin Xu:
Tensor Networks Meet Neural Networks: A Survey. CoRR abs/2302.09019 (2023) - [i101]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) - [i100]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) - [i99]Dun Zeng, Xiangjing Hu, Shiyu Liu, Yue Yu, Qifan Wang, Zenglin Xu:
Stochastic Clustered Federated Learning. CoRR abs/2303.00897 (2023) - [i98]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) - [i97]Shiyi Qi, Yuanhang Yang, Shuzheng Gao, Cuiyun Gao, Zenglin Xu:
BadCS: A Backdoor Attack Framework for Code search. CoRR abs/2305.05503 (2023) - [i96]Zhe Li, Shiyi Qi, Yiduo Li, Zenglin Xu:
Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping. CoRR abs/2305.10721 (2023) - [i95]Maolin Wang, Yaoming Zhen, Yu Pan, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao:
Tensorized Hypergraph Neural Networks. CoRR abs/2306.02560 (2023) - [i94]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) - [i93]Siqi Liang, Jintao Huang, Dun Zeng, Junyuan Hong, Jiayu Zhou, Zenglin Xu:
FedNoisy: Federated Noisy Label Learning Benchmark. CoRR abs/2306.11650 (2023) - [i92]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) - [i91]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) - [i90]Dun Zeng, Zenglin Xu, Yu Pan, Qifan Wang, Xiaoying Tang:
Exploring Federated Optimization by Reducing Variance of Adaptive Unbiased Client Sampling. CoRR abs/2310.02698 (2023) - [i89]Dun Zeng, Zenglin Xu, Yu Pan, Qifan Wang, Xiaoying Tang:
Tackling Hybrid Heterogeneity on Federated Optimization via Gradient Diversity Maximization. CoRR abs/2310.02702 (2023) - [i88]Xu Luo, Difan Zou, Lianli Gao, Zenglin Xu, Jingkuan Song:
Less is More: On the Feature Redundancy of Pretrained Models When Transferring to Few-shot Tasks. CoRR abs/2310.03843 (2023) - [i87]Zheshun Wu, Zenglin Xu, Dun Zeng, Qifan Wang:
Federated Generalization via Information-Theoretic Distribution Diversification. CoRR abs/2310.07171 (2023) - [i86]Yu Pan, Ye Yuan, Yichun Yin, Zenglin Xu, Lifeng Shang, Xin Jiang, Qun Liu:
Reusing Pretrained Models by Multi-linear Operators for Efficient Training. CoRR abs/2310.10699 (2023) - [i85]Zheshun Wu, Zenglin Xu, Hongfang Yu, Jie Liu:
Information-Theoretic Generalization Analysis for Topology-aware Heterogeneous Federated Edge Learning over Noisy Channels. CoRR abs/2310.16407 (2023) - [i84]Xiangli Yang, Xinglin Pan, Irwin King, Zenglin Xu:
Generalized Category Discovery with Clustering Assignment Consistency. CoRR abs/2310.19210 (2023) - [i83]Maolin Wang, Dun Zeng, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao:
Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization. CoRR abs/2311.10341 (2023) - [i82]Dun Zeng, Yong Dai, Pengyu Cheng, Tianhao Hu, Wanshun Chen, Nan Du, Zenglin Xu:
On Diversified Preferences of Large Language Model Alignment. CoRR abs/2312.07401 (2023) - [i81]Zheshun Wu, Zenglin Xu, Dun Zeng, Junfan Li, Jie Liu:
Topology Learning for Heterogeneous Decentralized Federated Learning over Unreliable D2D Networks. CoRR abs/2312.13611 (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]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) - [c81]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 - [c80]Yong Dai, Jian Liu, Xiancong Ren, Zenglin Xu:
Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis. AAAI 2020: 7618-7625 - [c79]Lili Pan, Shijie Ai, Yazhou Ren, Zenglin Xu:
Self-Paced Deep Regression Forests with Consideration on Underrepresented Examples. ECCV (30) 2020: 271-287 - [c78]Liangjian Wen, Yiji Zhou, Lirong He, Mingyuan Zhou, Zenglin Xu:
Mutual Information Gradient Estimation for Representation Learning. ICLR 2020 - [c77]Xin Liu, Zenglin Xu, Ping Guo:
Causal Inference for Mixed-Type Data in Additive Noise Models. ICONIP (2) 2020: 223-234 - [c76]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 - [c75]Xuanyang Zhang, Hao Liu, Zhanxing Zhu, Zenglin Xu:
Learning to Search Efficient DenseNet with Layer-wise Pruning. IJCNN 2020: 1-8 - [c74]Wazir Ali, Junyu Lu, Zenglin Xu:
SiNER: A Large Dataset for Sindhi Named Entity Recognition. LREC 2020: 2953-2961 - [c73]Shudong Huang, Zhao Kang, Zenglin Xu:
Deep K-Means: A Simple and Effective Method for Data Clustering. NCAA 2020: 272-283 - [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]Zhao Kang, Zipeng Guo, Shudong Huang, Siying Wang, Wenyu Chen, Yuanzhang Su, Zenglin Xu:
Multiple Partitions Aligned Clustering. CoRR abs/1909.06008 (2019) - [i25]Zhao Kang, Guoxin Shi, Shudong Huang, Wenyu Chen, Xiaorong Pu, Joey Tianyi Zhou, Zenglin Xu:
Multi-graph Fusion for Multi-view Spectral Clustering. CoRR abs/1909.06940 (2019) - [i24]Lirong He, Ziyi Guo, Kaizhu Huang, Zenglin Xu:
Deep Minimax Probability Machine. CoRR abs/1911.08723 (2019) - [i23]Zhao Kang, Wangtao Zhou, Zhitong Zhao, Junming Shao, Meng Han, Zenglin Xu:
Large-scale Multi-view Subspace Clustering in Linear Time. CoRR abs/1911.09290 (2019) - [i22]Wazir Ali, Jay Kumar, Junyu Lu, Zenglin Xu:
A New Corpus for Low-Resourced Sindhi Language with Word Embeddings. CoRR abs/1911.12579 (2019) - [i21]Zhao Kang, Xiao Lu, Yiwei Lu, Chong Peng, Zenglin Xu:
Structure Learning with Similarity Preserving. CoRR abs/1912.01197 (2019) - [i20]Juncheng Lv, Zhao Kang, Boyu Wang, Luping Ji, Zenglin Xu:
Multi-view Subspace Clustering via Partition Fusion. CoRR abs/1912.01201 (2019) - 2018
- [j16]Bin Liu, Lirong He, Yingming Li, Shandian Zhe, Zenglin Xu:
NeuralCP: Bayesian Multiway Data Analysis with Neural Tensor Decomposition. Cogn. Comput. 10(6): 1051-1061 (2018) - [j15]Lirong He, Bin Liu, Guangxi Li, Yongpan Sheng, Yafang Wang, Zenglin Xu:
Knowledge Base Completion by Variational Bayesian Neural Tensor Decomposition. Cogn. Comput. 10(6): 1075-1084 (2018) - [j14]Shudong Huang, Hongjun Wang, Tao Li, Tianrui Li, Zenglin Xu:
Robust graph regularized nonnegative matrix factorization for clustering. Data Min. Knowl. Discov. 32(2): 483-503 (2018) - [j13]Shudong Huang, Yazhou Ren, Zenglin Xu:
Robust multi-view data clustering with multi-view capped-norm K-means. Neurocomputing 311: 197-208 (2018) - [j12]Liyang Hao, Siqi Liang, Jinmian Ye, Zenglin Xu:
TensorD: A tensor decomposition library in TensorFlow. Neurocomputing 318: 196-200 (2018) - [j11]Shudong Huang, Zenglin Xu, Jiancheng Lv:
Adaptive local structure learning for document co-clustering. Knowl. Based Syst. 148: 74-84 (2018) - [j10]Shudong Huang, Zhao Kang, Zenglin Xu:
Self-weighted multi-view clustering with soft capped norm. Knowl. Based Syst. 158: 1-8 (2018) - [j9]Bin Liu, Yingming Li, Zenglin Xu:
Manifold regularized matrix completion for multi-label learning with ADMM. Neural Networks 101: 57-67 (2018) - [c58]Zhao Kang, Chong Peng, Qiang Cheng, Zenglin Xu:
Unified Spectral Clustering With Optimal Graph. AAAI 2018: 3366-3373 - [c57]Yingming Li, Zenglin Xu, Zhongfei Zhang:
Learning With Incomplete Labels. AAAI 2018: 3588-3595 - [c56]Haoli Bai, Zhuangbin Chen, Michael R. Lyu, Irwin King, Zenglin Xu:
Neural Relational Topic Models for Scientific Article Analysis. CIKM 2018: 27-36 - [c55]Jinmian Ye, Linnan Wang, Guangxi Li, Di Chen, Shandian Zhe, Xinqi Chu, Zenglin Xu:
Learning Compact Recurrent Neural Networks With Block-Term Tensor Decomposition. CVPR 2018: 9378-9387 - [c54]Yazhou Ren, Xin Yan, Zechuan Hu, Zenglin Xu:
Self-Paced Multi-Task Multi-View Capped-norm Clustering. ICONIP (4) 2018: 205-217 - [c53]Shangchen Zhou, Shuai Yuan, Zhizhuo Zhang, Zenglin Xu:
Association Study of Alzheimer's Disease with Tree-Guided Sparse Canonical Correlation Analysis. ICONIP (7) 2018: 585-597 - [c52]Zhao Kang, Xiao Lu, Jinfeng Yi, Zenglin Xu:
Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification. IJCAI 2018: 2312-2318 - [c51]Hao Liu, Lirong He, Haoli Bai, Bo Dai, Kun Bai, Zenglin Xu:
Structured Inference for Recurrent Hidden Semi-markov Model. IJCAI 2018: 2447-2453 - [c50]Shujun Zhou, Hong Wu, Jie Gong, Ting Le, Hao Wu, Qin Chen, Zenglin Xu:
Mark-Guided Segmentation of Ultrasonic Thyroid Nodules Using Deep Learning. ISICDM 2018: 21-26 - [c49]Yongpan Sheng, Zenglin Xu, Yafang Wang, Xiangyu Zhang, Jia Jia, Zhonghui You, Gerard de Melo:
Visualizing Multi-document Semantics via Open Domain Information Extraction. ECML/PKDD (3) 2018: 695-699 - [c48]Linnan Wang, Jinmian Ye, Yiyang Zhao, Wei Wu, Ang Li, Shuaiwen Leon Song, Zenglin Xu, Tim Kraska:
Superneurons: dynamic GPU memory management for training deep neural networks. PPoPP 2018: 41-53 - [c47]Yazhou Ren, Xiaohui Hu, Ke Shi, Guoxian Yu, Dezhong Yao, Zenglin Xu:
Semi-supervised DenPeak Clustering with Pairwise Constraints. PRICAI (1) 2018: 837-850 - [i19]Linnan Wang, Jinmian Ye, Yiyang Zhao, Wei Wu, Ang Li, Shuaiwen Leon Song, Zenglin Xu, Tim Kraska:
SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks. CoRR abs/1801.04380 (2018) - [i18]Zhao Kang, Xiao Lu, Jinfeng Yi, Zenglin Xu:
Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification. CoRR abs/1806.07697 (2018) - [i17]Yazhou Ren, Xiaofan Que, Dezhong Yao, Zenglin Xu:
Self-Paced Multi-Task Clustering. CoRR abs/1808.08068 (2018) - [i16]Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu:
Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition. CoRR abs/1811.07503 (2018) - [i15]Yazhou Ren, Ni Wang, Mingxia Li, Zenglin Xu:
Deep Density-based Image Clustering. CoRR abs/1812.04287 (2018) - [i14]Lili Pan, Shen Cheng, Jian Liu, Yazhou Ren, Zenglin Xu:
Latent Dirichlet Allocation in Generative Adversarial Networks. CoRR abs/1812.06571 (2018) - [i13]Zhao Kang, Haiqi Pan, Steven C. H. Hoi, Zenglin Xu:
Robust Graph Learning from Noisy Data. CoRR abs/1812.06673 (2018) - [i12]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. CoRR abs/1812.11478 (2018) - 2017
- [c46]Yingming Li, Ming Yang, Zenglin Xu, Zhongfei (Mark) Zhang:
Learning with Feature Network and Label Network Simultaneously. AAAI 2017: 1410-1416 - [c45]Xiaofan Que, Yazhou Ren, Jiayu Zhou, Zenglin Xu:
Regularized Multi-source Matrix Factorization for Diagnosis of Alzheimer's Disease. ICONIP (1) 2017: 463-473 - [c44]Yazhou Ren, Peng Zhao, Yongpan Sheng, Dezhong Yao, Zenglin Xu:
Robust Softmax Regression for Multi-class Classification with Self-Paced Learning. IJCAI 2017: 2641-2647 - [c43]Guangxi Li, Zenglin Xu, Linnan Wang, Jinmian Ye, Irwin King, Michael R. Lyu:
Simple and efficient parallelization for probabilistic temporal tensor factorization. IJCNN 2017: 1-8 - [c42]Shudong Huang, Zenglin Xu, Fei Wang:
Nonnegative matrix factorization with adaptive neighbors. IJCNN 2017: 486-493 - [c41]Liqiang Wang, Yafang Wang, Bin Liu, Lirong He, Shijun Liu, Gerard de Melo, Zenglin Xu:
Link prediction by exploiting network formation games in exchangeable graphs. IJCNN 2017: 619-626 - [c40]Yazhou Ren, Peng Zhao, Zenglin Xu, Dezhong Yao:
Balanced self-paced learning with feature corruption. IJCNN 2017: 2064-2071 - [c39]Bin Liu, Zenglin Xu, Bo Dai, Haoli Bai, Xianghong Fang, Yazhou Ren, Shandian Zhe:
Learning from semantically dependent multi-tasks. IJCNN 2017: 3498-3505 - [c38]Yiyang Zhao, Linnan Wang, Wei Wu, George Bosilca, Richard W. Vuduc, Jinmian Ye, Wenqi Tang, Zenglin Xu:
Efficient Communications in Training Large Scale Neural Networks. ACM Multimedia (Thematic Workshops) 2017: 110-116 - [i11]Hao Liu, Haoli Bai, Lirong He, Zenglin Xu:
Stochastic Sequential Neural Networks with Structured Inference. CoRR abs/1705.08695 (2017) - [i10]Zhao Kang, Chong Peng, Qiang Cheng, Zenglin Xu:
Unified Spectral Clustering with Optimal Graph. CoRR abs/1711.04258 (2017) - [i9]Dan Ma, Bin Liu, Zhao Kang, Jianke Zhu, Zenglin Xu:
Two Birds with One Stone: Iteratively Learn Facial Attributes with GANs. CoRR abs/1711.06078 (2017) - [i8]Jinmian Ye, Linnan Wang, Guangxi Li, Di Chen, Shandian Zhe, Xinqi Chu, Zenglin Xu:
Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition. CoRR abs/1712.05134 (2017) - [i7]Guangxi Li, Jinmian Ye, Haiqin Yang, Di Chen, Shuicheng Yan, Zenglin Xu:
BT-Nets: Simplifying Deep Neural Networks via Block Term Decomposition. CoRR abs/1712.05689 (2017) - 2016
- [j8]Zenglin Xu, Shandian Zhe, Yuan Qi, Peng Yu:
Association Discovery and Diagnosis of Alzheimer's Disease with Bayesian Multiview Learning. J. Artif. Intell. Res. 56: 247-268 (2016) - [j7]Bin Liu, Zenglin Xu, Shuang Wu, Fei Wang:
Manifold regularized matrix completion for multilabel classification. Pattern Recognit. Lett. 80: 58-63 (2016) - [c37]Yingming Li, Ming Yang, Zenglin Xu, Zhongfei (Mark) Zhang:
Learning with Marginalized Corrupted Features and Labels Together. AAAI 2016: 1251-1257 - [c36]Shandian Zhe, Yuan Qi, Youngja Park, Zenglin Xu, Ian M. Molloy, Suresh Chari:
DinTucker: Scaling Up Gaussian Process Models on Large Multidimensional Arrays. AAAI 2016: 2386-2392 - [c35]Haoli Bai, Zenglin Xu, Bin Liu, Yingming Li:
Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network. ACML 2016: 270-285 - [c34]Linnan Wang, Wei Wu, Zenglin Xu, Jianxiong Xiao, Yi Yang:
BLASX: A High Performance Level-3 BLAS Library for Heterogeneous Multi-GPU Computing. ICS 2016: 20:1-20:11 - [c33]Yingming Li, Ming Yang, Zenglin Xu, Zhongfei (Mark) Zhang:
Multi-View Learning with Limited and Noisy Tagging. IJCAI 2016: 1718-1724 - [c32]Hong Wu, Xing Heng, Zenglin Xu:
Consensus Guided Multiple Match Removal for Geometry Verification in Image Retrieval. MMM (2) 2016: 130-139 - [c31]Shandian Zhe, Kai Zhang, Pengyuan Wang, Kuang-chih Lee, Zenglin Xu, Yuan Qi, Zoubin Ghahramani:
Distributed Flexible Nonlinear Tensor Factorization. NIPS 2016: 920-928 - [i6]Shandian Zhe, Pengyuan Wang, Kuang-chih Lee, Zenglin Xu, Jian Yang, Youngja Park, Yuan Qi:
Distributed Flexible Nonlinear Tensor Factorization. CoRR abs/1604.07928 (2016) - [i5]Guangxi Li, Zenglin Xu, Linnan Wang, Jinmian Ye, Irwin King, Michael R. Lyu:
Simple and Efficient Parallelization for Probabilistic Temporal Tensor Factorization. CoRR abs/1611.03578 (2016) - 2015
- [j6]Haiqin Yang, Zenglin Xu, Michael R. Lyu, Irwin King:
Budget constrained non-monotonic feature selection. Neural Networks 71: 214-224 (2015) - [j5]Zenglin Xu, Feng Yan, Yuan (Alan) Qi:
Bayesian Nonparametric Models for Multiway Data Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 37(2): 475-487 (2015) - [c30]Shandian Zhe, Zenglin Xu, Yuan Qi, Peng Yu:
Sparse Bayesian Multiview Learning for Simultaneous Association Discovery and Diagnosis of Alzheimer's Disease. AAAI 2015: 1966-1972 - [c29]Zenglin Xu, Rong Jin, Bin Shen, Shenghuo Zhu:
Nystrom Approximation for Sparse Kernel Methods: Theoretical Analysis and Empirical Evaluation. AAAI 2015: 3115-3121 - [c28]Shandian Zhe, Zenglin Xu, Xinqi Chu, Yuan (Alan) Qi, Youngja Park:
Scalable Nonparametric Multiway Data Analysis. AISTATS 2015 - [c27]Youngja Park, Ian M. Molloy, Suresh N. Chari, Zenglin Xu, Christopher S. Gates, Ninghui Li:
Learning from Others: User Anomaly Detection Using Anomalous Samples from Other Users. ESORICS (2) 2015: 396-414 - 2014
- [c26]Christopher S. Gates, Ninghui Li, Zenglin Xu, Suresh N. Chari, Ian M. Molloy, Youngja Park:
Detecting Insider Information Theft Using Features from File Access Logs. ESORICS (2) 2014: 383-400 - [c25]Bin Shen, Zenglin Xu, Jan P. Allebach:
Kernel tapering: A simple and effective approach to sparse kernels for image processing. ICIP 2014: 4917-4921 - [c24]Haiqin Yang, Zenglin Xu, Irwin King, Michael R. Lyu:
Non-monotonic Feature Selection for Regression. ICONIP (2) 2014: 44-51 - [c23]Shandian Zhe, Zenglin Xu, Yuan Qi, Peng Yu:
Joint Association Discovery and Diagnosis of Alzheimer's Disease by Supervised Heterogeneous Multiview Learning. Pacific Symposium on Biocomputing 2014: 300-311 - 2013
- [c22]Shouyuan Chen, Michael R. Lyu, Irwin King, Zenglin Xu:
Exact and Stable Recovery of Pairwise Interaction Tensors. NIPS 2013: 1691-1699 - [i4]Shandian Zhe, Zenglin Xu, Yuan Qi, Peng Yu:
Supervised Heterogeneous Multiview Learning for Joint Association Study and Disease Diagnosis. CoRR abs/1304.7284 (2013) - 2012
- [c21]Zenglin Xu, Feng Yan, Yuan (Alan) Qi:
Infinite Tucker Decomposition: Nonparametric Bayesian Models for Multiway Data Analysis. ICML 2012 - [i3]Feng Yan, Zenglin Xu, Yuan (Alan) Qi:
Sparse matrix-variate Gaussian process blockmodels for network modeling. CoRR abs/1202.3769 (2012) - [i2]Kaizhu Huang, Rong Jin, Zenglin Xu, Cheng-Lin Liu:
Robust Metric Learning by Smooth Optimization. CoRR abs/1203.3461 (2012) - 2011
- [j4]Haiqin Yang, Zenglin Xu, Jieping Ye, Irwin King, Michael R. Lyu:
Efficient Sparse Generalized Multiple Kernel Learning. IEEE Trans. Neural Networks 22(3): 433-446 (2011) - [c20]Zenglin Xu, Feng Yan, Yuan (Alan) Qi:
Sparse Matrix-Variate t Process Blockmodels. AAAI 2011: 543-548 - [c19]Feng Yan, Zenglin Xu, Yuan (Alan) Qi:
Sparse matrix-variate Gaussian process blockmodels for network modeling. UAI 2011: 745-752 - [i1]Zenglin Xu, Feng Yan, Yuan (Alan) Qi:
InfTucker: t-Process based Infinite Tensor Decomposition. CoRR abs/1108.6296 (2011) - 2010
- [j3]Zenglin Xu, Irwin King, Michael R. Lyu, Rong Jin:
Discriminative semi-supervised feature selection via manifold regularization. IEEE Trans. Neural Networks 21(7): 1033-1047 (2010) - [c18]Zenglin Xu, Rong Jin, Shenghuo Zhu, Michael R. Lyu, Irwin King:
Smooth Optimization for Effective Multiple Kernel Learning. AAAI 2010: 637-642 - [c17]Zenglin Xu, Rong Jin, Haiqin Yang, Irwin King, Michael R. Lyu:
Simple and Efficient Multiple Kernel Learning by Group Lasso. ICML 2010: 1175-1182 - [c16]Haiqin Yang, Zenglin Xu, Irwin King, Michael R. Lyu:
Online Learning for Group Lasso. ICML 2010: 1191-1198 - [c15]Kaizhu Huang, Rong Jin, Zenglin Xu, Cheng-Lin Liu:
Robust Metric Learning by Smooth Optimization. UAI 2010: 244-251
2000 – 2009
- 2009
- [j2]Zenglin Xu, Kaizhu Huang, Jianke Zhu, Irwin King, Michael R. Lyu:
A novel kernel-based maximum a posteriori classification method. Neural Networks 22(7): 977-987 (2009) - [c14]Zenglin Xu, Rong Jin, Jieping Ye, Michael R. Lyu, Irwin King:
Non-monotonic feature selection. ICML 2009: 1145-1152 - [c13]Zenglin Xu, Rong Jin, Michael R. Lyu, Irwin King:
Discriminative Semi-Supervised Feature Selection via Manifold Regularization. IJCAI 2009: 1303-1308 - [c12]Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu, Colin Campbell:
Supervised Self-taught Learning: Actively transferring knowledge from unlabeled data. IJCNN 2009: 1272-1277 - [c11]Zenglin Xu, Rong Jin, Jianke Zhu, Irwin King, Michael R. Lyu, Zhirong Yang:
Adaptive Regularization for Transductive Support Vector Machine. NIPS 2009: 2125-2133 - [c10]Zhirong Yang, Irwin King, Zenglin Xu, Erkki Oja:
Heavy-Tailed Symmetric Stochastic Neighbor Embedding. NIPS 2009: 2169-2177 - 2008
- [c9]Zenglin Xu, Rong Jin, Kaizhu Huang, Michael R. Lyu, Irwin King:
Semi-supervised text categorization by active search. CIKM 2008: 1517-1518 - [c8]Jianke Zhu, Steven C. H. Hoi, Zenglin Xu, Michael R. Lyu:
An Effective Approach to 3D Deformable Surface Tracking. ECCV (3) 2008: 766-779 - [c7]Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu:
Semi-supervised Learning from General Unlabeled Data. ICDM 2008: 273-282 - [c6]Zenglin Xu, Rong Jin, Irwin King, Michael R. Lyu:
An Extended Level Method for Efficient Multiple Kernel Learning. NIPS 2008: 1825-1832 - 2007
- [j1]Zenglin Xu, Irwin King, Michael R. Lyu:
Feature Selection Based on Minimum Error minimax Probability Machine. Int. J. Pattern Recognit. Artif. Intell. 21(8): 1279-1292 (2007) - [c5]Zenglin Xu, Kaizhu Huang, Jianke Zhu, Irwin King, Michael R. Lyu:
Kernel Maximum a Posteriori Classification with Error Bound Analysis. ICONIP (1) 2007: 841-850 - [c4]Zenglin Xu, Jianke Zhu, Michael R. Lyu, Irwin King:
Maximum Margin based Semi-supervised Spectral Kernel Learning. IJCNN 2007: 418-423 - [c3]Zenglin Xu, Rong Jin, Jianke Zhu, Irwin King, Michael R. Lyu:
Efficient Convex Relaxation for Transductive Support Vector Machine. NIPS 2007: 1641-1648 - [c2]Zenglin Xu, Irwin King, Michael R. Lyu:
Web page classification with heterogeneous data fusion. WWW 2007: 1171-1172 - 2004
- [c1]Yu Liu, Zheng Qin, Zenglin Xu, Xingshi He:
Feature Selection with Particle Swarms. CIS 2004: 425-430
Coauthor Index
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