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2020 – today
- 2025
[j104]Zhuo Zhang, Yukun Zhang, Guanzhong Chen, Lizhen Qu, Xun Zhou, Hui Wang, Zenglin Xu:
From continuous pre-training to alignment: A comprehensive toolkit for large language models in federated learning. Neurocomputing 647: 130572 (2025)- [j103]Dun Zeng
, Xiangjing Hu, Shiyu Liu, Yue Yu, Qifan Wang, Zenglin Xu:
StoCFL: A stochastically clustered federated learning framework for Non-IID data with dynamic client participation. Neural Networks 187: 107278 (2025) - [j102]Wenzhe Ouyang, Zenglin Xu, Qianying Zhu, Bin Shen, Yong Xu:
PlanePDM: Boundary-aware 3D planar recovery by using parallel dilated mask head. Pattern Recognit. 161: 111306 (2025) - [j101]Wenzhe Ouyang, Zenglin Xu, Bin Shen, Jinghua Wang, Yong Xu:
LinkOcc: 3D Semantic Occupancy Prediction With Temporal Association. IEEE Trans. Circuits Syst. Video Technol. 35(2): 1374-1384 (2025) - [j100]Dun Zeng, Zenglin Xu, Yu Pan, Xu Luo, Qifan Wang, Xiaoying Tang:
Enhanced Federated Optimization: Adaptive Unbiased Client Sampling with Reduced Variance. Trans. Mach. Learn. Res. 2025 (2025) - [j99]Jing Xu, Xinglin Pan, Jingquan Wang, Wenjie Pei, Qing Liao, Zenglin Xu:
CORE: CORrelation-Guided Feature Enhancement for Few-Shot Image Classification. IEEE Trans. Neural Networks Learn. Syst. 36(2): 3098-3110 (2025) - [j98]Yaoxian Li, Shiyi Qi, Cuiyun Gao, Yun Peng, David Lo, Michael R. Lyu, Zenglin Xu:
Understanding the Robustness of Transformer-Based Code Intelligence via Code Transformation: Challenges and Opportunities. IEEE Trans. Software Eng. 51(2): 521-547 (2025) - [c151]Bang An, Xun Zhou, Zirui Zhou, Ronilo J. Ragodos, Zenglin Xu, Jun Luo:
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping. AAAI 2025: 11427-11435 - [c150]Yu Pan, Chaozheng Wang, Zekai Wu, Qifan Wang, Min Zhang, Zenglin Xu:
IDInit: A Universal and Stable Initialization Method for Neural Network Training. ICLR 2025 - [c149]Irwin King, Guodong Long, Zenglin Xu, Yifei Zhang, Han Yu:
FL@FM-TheWebConf'25: International Workshop on Federated Foundation Models for the Web 2025. WWW (Companion Volume) 2025: 1733-1734 - [i140]Jingheng Ye, Shen Wang, Deqing Zou, Yibo Yan, Kun Wang, Hai-Tao Zheng, Zenglin Xu, Irwin King, Philip S. Yu, Qingsong Wen:
Position: LLMs Can be Good Tutors in Foreign Language Education. CoRR abs/2502.05467 (2025) - [i139]Che Liu, Yingji Zhang, Dong Zhang, Weijie Zhang, Chenggong Gong, Haohan Li, Yu Lu, Shilin Zhou, Yue Lu, Ziliang Gan, Ziao Wang, Junwei Liao, Haipang Wu, Ji Liu, André Freitas, Qifan Wang, Zenglin Xu, Rongjunchen Zhang, Yong Dai:
Nexus-O: An Omni-Perceptive And -Interactive Model for Language, Audio, And Vision. CoRR abs/2503.01879 (2025) - [i138]Yu Pan, Chaozheng Wang, Zekai Wu, Qifan Wang, Min Zhang, Zenglin Xu:
IDInit: A Universal and Stable Initialization Method for Neural Network Training. CoRR abs/2503.04626 (2025) - [i137]Guanzhong Chen, Shaoxiong Yang, Chao Li, Wei Liu, Jian Luan, Zenglin Xu:
Heterogeneous Group-Based Reinforcement Learning for LLM-based Multi-Agent Systems. CoRR abs/2506.02718 (2025) - [i136]Yingqi Hu, Zhuo Zhang, Jingyuan Zhang, Lizhen Qu, Zenglin Xu:
Simple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models. CoRR abs/2506.06060 (2025) - [i135]Jiaxiang Chen, Zhuo Wang, Mingxi Zou, Qifan Wang, Zenglin Xu:
Guideline Forest: Experience-Induced Multi-Guideline Reasoning with Stepwise Aggregation. CoRR abs/2506.07820 (2025) - [i134]Jiaxiang Chen, Mingxi Zou, Zhuo Wang, Qifan Wang, Dongning Sun, Chi Zhang, Zenglin Xu:
FinHEAR: Human Expertise and Adaptive Risk-Aware Temporal Reasoning for Financial Decision-Making. CoRR abs/2506.09080 (2025) - [i133]Hongwei Zhang, Ziqi Ye, Xinyuan Wang, Xin Guo, Zenglin Xu, Yuan Cheng, Zixin Hu, Yuan Qi:
Efficient Network Automatic Relevance Determination. CoRR abs/2506.12352 (2025) - [i132]Jinglong Luo, Zhuo Zhang, Yehong Zhang, Shiyu Liu, Ye Dong, Xun Zhou, Hui Wang, Yue Yu, Zenglin Xu:
SecFwT: Efficient Privacy-Preserving Fine-Tuning of Large Language Models Using Forward-Only Passes. CoRR abs/2506.15307 (2025) - [i131]Langzhang Liang, Fanchen Bu, Zixing Song, Zenglin Xu, Shirui Pan, Kijung Shin:
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification. CoRR abs/2506.16110 (2025) - [i130]Jiale Zhang, Jiaxiang Chen, Zhucong Li, Jie Ding, Kui Zhao, Zenglin Xu, Xin Pang, Yinghui Xu:
SlimRAG: Retrieval without Graphs via Entity-Aware Context Selection. CoRR abs/2506.17288 (2025) - 2024
- [j97]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) - [j96]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) - [j95]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) - [j94]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) - [j93]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) - [j92]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) - [j91]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) - [j90]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) - [j89]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) - [j88]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) - [j87]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) - [j86]Yifei Zhang, Dun Zeng, Jinglong Luo, Xinyu Fu, Guanzhong Chen, Zenglin Xu, Irwin King:
A Survey of Trustworthy Federated Learning: Issues, Solutions, and Challenges. ACM Trans. Intell. Syst. Technol. 15(6): 112:1-112:47 (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) - [c148]Wenzhe Ouyang, Xiaolin Song, Bailan Feng, Zenglin Xu:
OctOcc: High-Resolution 3D Occupancy Prediction with Octree. AAAI 2024: 4369-4377 - [c147]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 - [c146]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 - [c145]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 - [c144]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 - [c143]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 - [c142]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 - [c141]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 - [c140]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 - [c139]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 - [c138]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 - [c137]Shujiong Tang, Irwin King, Zenglin Xu:
Combining Explicit Priors and Set Attention Driven Implicit Priors for Demonstration-Guided Reinforcement Learning. ICONIP (4) 2024: 132-146 - [c136]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 - [c135]Zixing Song, Xiangli Yang, Yifei Zhang, Xinyu Fu, Zenglin Xu, Irwin King:
A Systematic Survey on Federated Semi-supervised Learning. IJCAI 2024: 8244-8252 - [c134]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 - [c133]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 - [c132]Junfan Li, Zheshun Wu, Zenglin Xu, Irwin King:
On the Necessity of Collaboration for Online Model Selection with Decentralized Data. NeurIPS 2024 - [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 - [i129]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) - [i128]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) - [i127]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) - [i126]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) - [i125]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) - [i124]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) - [i123]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) - [i122]Liangjian Wen, Xiasi Wang, Jianzhuang Liu, Zenglin Xu:
MVEB: Self-Supervised Learning with Multi-View Entropy Bottleneck. CoRR abs/2403.19078 (2024) - [i121]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) - [i120]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) - [i119]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) - [i118]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) - [i117]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) - [i116]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) - [i115]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) - [i114]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) - [i113]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) - [i112]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) - [i111]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) - [i110]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) - [i109]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) - [i108]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) - [i107]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) - [i106]Jinglong Luo, Guanzhong Chen, Yehong Zhang, Shiyu Liu, Hui Wang, Yue Yu, Xun Zhou, Yuan Qi, Zenglin Xu:
Centaur: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference. CoRR abs/2412.10652 (2024) - [i105]Bang An, Xun Zhou, Zirui Zhou, Ronilo J. Ragodos, Zenglin Xu, Jun Luo:
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models through Statistically-Guided Geo-Prototyping. CoRR abs/2412.15353 (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, 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
[c149] [i140] [j86] [j85] [c137] [c135] [c134] [c133] [c132] [c130] [c129] [i121] [i108] [j71] [j70] [c114] [c111] [c109] [c107] [c106] [i101] [i84] [c94] [i71] [c87] [i62] [i61] [i54] [i43] [c56] [c43] [i5] [j6] [c24] [c22] [j4] [j3] [c18] [c17] [c16] [j2] [c14] [c13] [c12] [c11] [c10] [c9] [c7] [c6] [j1] [c5] [c4] [c3] [c2]
Yuan Qi 0001
aka: Yuan (Alan) Qi
aka: Yuan (Alan) Qi
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