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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j28]Song Wu
, Yan Zheng, Yazhou Ren, Jing He, Xiaorong Pu, Shudong Huang, Zhifeng Hao, Lifang He:
Self-Weighted Contrastive Fusion for Deep Multi-View Clustering. IEEE Trans. Multim. 26: 9150-9162 (2024)- [j27]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) - [c33]Yuze Tan, Hecheng Cai, Shudong Huang, Shuping Wei, Fan Yang, Jiancheng Lv:
An Effective Augmented Lagrangian Method for Fine-Grained Multi-View Optimization. AAAI 2024: 15258-15266 - [c32]Hao Dai, Yang Liu, Peng Su, Hecheng Cai, Shudong Huang, Jiancheng Lv:
Multi-View Clustering by Inter-cluster Connectivity Guided Reward. ICML 2024 - [c31]Hecheng Cai, Yang Liu, Shudong Huang, Jiancheng Lv:
With a Little Help from Language: Semantic Enhanced Visual Prototype Framework for Few-Shot Learning. IJCAI 2024: 3751-3759 - [c30]Peng Su, Yixi Liu, Shujian Li, Shudong Huang, Jiancheng Lv:
Robust Contrastive Multi-view Kernel Clustering. IJCAI 2024: 4938-4945 - [c29]Shudong Huang, Srivatsan Parthasarathy, Yuanzhong Paul Zhou, Jean-Jacques Hajjar, Elyse Rosenbaum:
Reduced RC Time Constant High Voltage Tolerant Supply Clamp for ESD Protection in 16nm FinFET Technology. IRPS 2024: 1-7 - [c28]Zhutian Lin, Junwei Pan, Shangyu Zhang, Ximei Wang, Xi Xiao, Shudong Huang, Lei Xiao, Jie Jiang:
Understanding the Ranking Loss for Recommendation with Sparse User Feedback. KDD 2024: 5409-5418 - [c27]Shudong Huang, Hecheng Cai, Hao Dai, Wentao Feng, Jiancheng Lv:
Adaptive Instance-wise Multi-view Clustering. ACM Multimedia 2024: 5299-5307 - [c26]Xiaolin Lin, Jinwei Luo, Junwei Pan, Weike Pan, Zhong Ming, Xun Liu, Shudong Huang, Jie Jiang:
Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation. WSDM 2024: 414-423 - [i9]Zhutian Lin, Junwei Pan, Shangyu Zhang, Ximei Wang, Xi Xiao, Shudong Huang, Lei Xiao, Jie Jiang:
Understanding the Ranking Loss for Recommendation with Sparse User Feedback. CoRR abs/2403.14144 (2024) - [i8]Xianggen Liu, Yan Guo, Haoran Li, Jin Liu, Shudong Huang, Bowen Ke, Jiancheng Lv:
DrugLLM: Open Large Language Model for Few-shot Molecule Generation. CoRR abs/2405.06690 (2024) - [i7]Zhutian Lin, Junwei Pan, Haibin Yu, Xi Xiao, Ximei Wang, Zhixiang Feng, Shifeng Wen, Shudong Huang, Lei Xiao, Jie Jiang:
Disentangled Representation with Cross Experts Covariance Loss for Multi-Domain Recommendation. CoRR abs/2405.12706 (2024) - 2023
- [j26]Shudong Huang, Yixi Liu, Hecheng Cai, Yuze Tan, Chenwei Tang, Jiancheng Lv:
Smooth representation learning from multi-view data. Inf. Fusion 100: 101916 (2023) - [j25]Kun Zhang, Zhichu Xia, Shudong Huang, Gui-Quan Sun, Jiancheng Lv, Marco Ajelli, Keisuke Ejima, Quan-Hui Liu:
Evaluating the impact of test-trace-isolate for COVID-19 management and alternative strategies. PLoS Comput. Biol. 19(9) (2023) - [j24]Hongjie Wu, Shudong Huang, Chenwei Tang, Yancheng Zhang, Jiancheng Lv:
Pure graph-guided multi-view subspace clustering. Pattern Recognit. 136: 109187 (2023) - [j23]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) - [j22]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) - [c25]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 - [c24]Yuze Tan, Yixi Liu, Hongjie Wu, Jiancheng Lv, Shudong Huang:
Metric Multi-View Graph Clustering. AAAI 2023: 9962-9970 - [c23]Yuze Tan, Yixi Liu, Shudong Huang, Wentao Feng, Jiancheng Lv:
Sample-level Multi-view Graph Clustering. CVPR 2023: 23966-23975 - [c22]Hecheng Cai, Yuze Tan, Shudong Huang, Jiancheng Lv:
Lifelong Multi-view Spectral Clustering. IJCAI 2023: 3488-3496 - [c21]Shudong Huang, Srivatsan Parthasarathy, Yuanzhong Paul Zhou, Jean-Jacques Hajjar, Elyse Rosenbaum:
Optimization of SCR for High-Speed Digital and RF Applications in 45-nm SOI CMOS Technology. IRPS 2023: 1-7 - [c20]Yixi Liu, Yuze Tan, Hongjie Wu, Shudong Huang, Yazhou Ren, Jiancheng Lv:
Preserving Local and Global Information: An Effective Metric-based Subspace Clustering. ACM Multimedia 2023: 3619-3627 - [c19]Tongjie Pan, Yalan Ye, Hecheng Cai, Shudong Huang, Yang Yang, Guoqing Wang:
Multimodal Physiological Signals Fusion for Online Emotion Recognition. ACM Multimedia 2023: 5879-5888 - [c18]Mingjia Shi, Yuhao Zhou, Kai Wang, Huaizheng Zhang, Shudong Huang, Qing Ye, Jiancheng Lv:
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning. NeurIPS 2023 - [i6]Mingjia Shi, Yuhao Zhou, Kai Wang, Huaizheng Zhang, Shudong Huang, Qing Ye, Jiangcheng Lv:
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning. CoRR abs/2310.09183 (2023) - [i5]Chenwei Tang, Wenqiang Zhou, Dong Wang, Caiyang Yu, Zhenan He, Jizhe Zhou, Shudong Huang, Yi Gao, Jianming Chen, Wentao Feng, Jiancheng Lv:
Analysis and Applications of Deep Learning with Finite Samples in Full Life-Cycle Intelligence of Nuclear Power Generation. CoRR abs/2311.04247 (2023) - 2022
- [j21]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) - [j20]Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv:
Multiple partitions alignment via spectral rotation. Mach. Learn. 111(3): 1049-1072 (2022) - [j19]Shudong Huang, Wei Shi, Zenglin Xu, Ivor W. Tsang, Jiancheng Lv:
Efficient federated multi-view learning. Pattern Recognit. 131: 108817 (2022) - [j18]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) - [c17]Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv, Quanhui Liu:
Multi-View Clustering on Topological Manifold. AAAI 2022: 6944-6951 - [c16]Shudong Huang, Srivatsan Parthasarathy, Yuanzhong Paul Zhou, Jean-Jacques Hajjar, Elyse Rosenbaum:
A High Voltage Tolerant Supply Clamp for ESD Protection in a 45-nm SOI Technology. IRPS 2022: 5 - [c15]Jianjian Shao, Zhenqian Wu, Yuanyan Luo, Shudong Huang, Xiaorong Pu, Yazhou Ren:
Self-Paced Label Distribution Learning for In-The-Wild Facial Expression Recognition. ACM Multimedia 2022: 161-169 - [c14]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 - [c13]Shudong Huang, Hongjie Wu, Yazhou Ren, Ivor W. Tsang, Zenglin Xu, Wentao Feng, Jiancheng Lv:
Multi-view Subspace Clustering on Topological Manifold. NeurIPS 2022 - [i4]Jianpeng Chen, Yawen Ling, Jie Xu, Yazhou Ren, Shudong Huang, Xiaorong Pu, Lifang He:
Variational Graph Generator for Multi-View Graph Clustering. CoRR abs/2210.07011 (2022) - [i3]Shudong Huang, Wentao Feng, Chenwei Tang, Jiancheng Lv:
Partial Differential Equations Meet Deep Neural Networks: A Survey. CoRR abs/2211.05567 (2022) - 2021
- [j17]Ji Zhang, Hongjun Wang, Shudong Huang, Tianrun Li, Peng Jin, Ping Deng, Qigang Zhao:
Co-Adjustment Learning for Co-Clustering. Cogn. Comput. 13(2): 504-517 (2021) - [j16]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) - [c12]Shudong Huang, Elyse Rosenbaum:
Compact Model of ESD Diode Suitable for Subnanosecond Switching Transients. IRPS 2021: 1-7 - [c11]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 - 2020
- [j15]Shudong Huang, Zenglin Xu, Zhao Kang, Yazhou Ren:
Regularized nonnegative matrix factorization with adaptive local structure learning. Neurocomputing 382: 196-209 (2020) - [j14]Yazhou Ren, Shudong Huang, Peng Zhao, Minghao Han, Zenglin Xu:
Self-paced and auto-weighted multi-view clustering. Neurocomputing 383: 248-256 (2020) - [j13]Shudong Huang, Zenglin Xu, Ivor W. Tsang, Zhao Kang:
Auto-weighted multi-view co-clustering with bipartite graphs. Inf. Sci. 512: 18-30 (2020) - [j12]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) - [j11]Shudong Huang, Zhao Kang, Zenglin Xu:
Auto-weighted multi-view clustering via deep matrix decomposition. Pattern Recognit. 97 (2020) - [c10]Alex Ayling, Shudong Huang, Elyse Rosenbaum:
Sub-nanosecond Reverse Recovery Measurement for ESD Devices. IRPS 2020: 1-8 - [c9]Shudong Huang, Zhao Kang, Zenglin Xu:
Deep K-Means: A Simple and Effective Method for Data Clustering. NCAA 2020: 272-283 - [c8]Ian Soboroff, Shudong Huang, Donna Harman:
TREC 2020 News Track Overview. TREC 2020
2010 – 2019
- 2019
- [j10]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) - [j9]Ji Zhang, Hongjun Wang, Jielei Chu, Shudong Huang, Tianrui Li, Qigang Zhao:
Improved Gaussian-Bernoulli restricted Boltzmann machine for learning discriminative representations. Knowl. Based Syst. 185 (2019) - [j8]Shudong Huang, Zhao Kang, Ivor W. Tsang, Zenglin Xu:
Auto-weighted multi-view clustering via kernelized graph learning. Pattern Recognit. 88: 174-184 (2019) - [c7]Zhao Kang, Zipeng Guo, Shudong Huang, Siying Wang, Wenyu Chen, Yuanzhang Su, Zenglin Xu:
Multiple Partitions Aligned Clustering. IJCAI 2019: 2701-2707 - [i2]Zhao Kang, Zipeng Guo, Shudong Huang, Siying Wang, Wenyu Chen, Yuanzhang Su, Zenglin Xu:
Multiple Partitions Aligned Clustering. CoRR abs/1909.06008 (2019) - [i1]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) - 2018
- [j7]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) - [j6]Shudong Huang, Yazhou Ren, Zenglin Xu:
Robust multi-view data clustering with multi-view capped-norm K-means. Neurocomputing 311: 197-208 (2018) - [j5]Shudong Huang, Zenglin Xu, Jiancheng Lv:
Adaptive local structure learning for document co-clustering. Knowl. Based Syst. 148: 74-84 (2018) - [j4]Shudong Huang, Zhao Kang, Zenglin Xu:
Self-weighted multi-view clustering with soft capped norm. Knowl. Based Syst. 158: 1-8 (2018) - [j3]Audrey Tong, Lukas L. Diduch, Jonathan G. Fiscus, Yasaman Haghpanah, Shudong Huang, David Joy, Kay Peterson, Ian Soboroff:
Overview of the NIST 2016 LoReHLT evaluation. Mach. Transl. 32(1-2): 11-30 (2018) - [c6]Shudong Huang, Ian Soboroff, Donna Harman:
TREC 2018 News Track. NewsIR@ECIR 2018: 57-59 - [c5]Ian Soboroff, Shudong Huang, Donna Harman:
TREC 2018 News Track Overview. TREC 2018 - 2017
- [c4]Shudong Huang, Zenglin Xu, Fei Wang:
Nonnegative matrix factorization with adaptive neighbors. IJCNN 2017: 486-493 - 2016
- [j2]Shudong Huang, Hongjun Wang, Tao Li, Yan Yang, Tianrui Li:
Constraint Co-Projections for Semi-Supervised Co-Clustering. IEEE Trans. Cybern. 46(12): 3047-3058 (2016) - 2015
- [j1]Shudong Huang, Hongjun Wang, Dingcheng Li, Yan Yang, Tianrui Li:
Spectral co-clustering ensemble. Knowl. Based Syst. 84: 46-55 (2015)
2000 – 2009
- 2006
- [c3]Yi Liu, Pascale Fung, Yongsheng Yang, Christopher Cieri, Shudong Huang, David Graff:
HKUST/MTS: A Very Large Scale Mandarin Telephone Speech Corpus. ISCSLP (Selected Papers) 2006: 724-735 - [c2]Christopher Cieri, Walter D. Andrews, Joseph P. Campbell, George R. Doddington, John J. Godfrey, Shudong Huang, Mark Liberman, Alvin F. Martin, Hirotaka Nakasone, Mark A. Przybocki, Kevin Walker:
The Mixer and Transcript Reading Corpora: Resources for Multilingual, Crosschannel Speaker Recognition Research. LREC 2006: 117-120 - 2004
- [c1]Yi Liu, Pascale Fung, Shudong Huang, Chris Cieri, Lu-Feng Zhai, Benfeng Chen:
Development of a Chinese telephony conversational corpus for speech processing [speech recognition applications]. ISCSLP 2004: 197-200
Coauthor Index
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