Shudong Huang

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 62

Top Topics

Emotion Recognition

Subspace Clustering

Negative Matrix Factorization

Structure Learning

Top Venues

Knowl. Based Syst.

Publications

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)
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 (2024)
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)
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)
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 (2024)
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 (2024)
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) (2024)
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)
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 (2024)
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 (2023)
Hecheng Cai, Yuze Tan, Shudong Huang, Jiancheng Lv
Lifelong Multi-view Spectral Clustering. IJCAI (2023)
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 (2023)
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)
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)
Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv
Latent Representation Guided Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
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)
Yuze Tan, Yixi Liu, Shudong Huang, Wentao Feng, Jiancheng Lv
Sample-level Multi-view Graph Clustering. CVPR (2023)
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)
Shudong Huang, Yixi Liu, Hecheng Cai, Yuze Tan, Chenwei Tang, Jiancheng Lv
Smooth representation learning from multi-view data. Inf. Fusion 100 (2023)
Yuze Tan, Yixi Liu, Hongjie Wu, Jiancheng Lv, Shudong Huang
Metric Multi-View Graph Clustering. AAAI (2023)
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) (2023)
Hongjie Wu, Shudong Huang, Chenwei Tang, Yancheng Zhang, Jiancheng Lv
Pure graph-guided multi-view subspace clustering. Pattern Recognit. 136 (2023)
Tongjie Pan, Yalan Ye, Hecheng Cai, Shudong Huang, Yang Yang, Guoqing Wang
Multimodal Physiological Signals Fusion for Online Emotion Recognition. ACM Multimedia (2023)
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)
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)
Jianpeng Chen, Yawen Ling, Jie Xu, Yazhou Ren, Shudong Huang, Xiaorong Pu, Lifang He
Variational Graph Generator for Multi-View Graph Clustering. CoRR (2022)
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)
Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv, Quanhui Liu
Multi-View Clustering on Topological Manifold. AAAI (2022)
Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv
Multiple partitions alignment via spectral rotation. Mach. Learn. 111 (3) (2022)
Shudong Huang, Hongjie Wu, Yazhou Ren, Ivor Tsang, Zenglin Xu, Wentao Feng, Jiancheng Lv
Multi-view Subspace Clustering on Topological Manifold. NeurIPS (2022)
Shudong Huang, Wentao Feng, Chenwei Tang, Jiancheng Lv
Partial Differential Equations Meet Deep Neural Networks: A Survey. CoRR (2022)
Shudong Huang, Yixi Liu, Yazhou Ren, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv
Learning Smooth Representation for Multi-view Subspace Clustering. ACM Multimedia (2022)
Shudong Huang, Wei Shi, Zenglin Xu, Ivor W. Tsang, Jiancheng Lv
Efficient federated multi-view learning. Pattern Recognit. 131 (2022)
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) (2022)
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 (2022)
Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv, Quanhui Liu
CDD: Multi-view Subspace Clustering via Cross-view Diversity Detection. ACM Multimedia (2021)
Shudong Huang, Elyse Rosenbaum
Compact Model of ESD Diode Suitable for Subnanosecond Switching Transients. IRPS (2021)
Shudong Huang, Zhao Kang, Zenglin Xu, Quanhui Liu
Robust deep k-means: An effective and simple method for data clustering. Pattern Recognit. 117 (2021)
Ji Zhang, Hongjun Wang, Shudong Huang, Tianrun Li, Peng Jin, Ping Deng, Qigang Zhao
Co-Adjustment Learning for Co-Clustering. Cogn. Comput. 13 (2) (2021)
Shudong Huang, Zhao Kang, Zenglin Xu
Deep K-Means: A Simple and Effective Method for Data Clustering. NCAA (2020)
Shudong Huang, Zhao Kang, Zenglin Xu
Auto-weighted multi-view clustering via deep matrix decomposition. Pattern Recognit. 97 (2020)
Yazhou Ren, Shudong Huang, Peng Zhao, Minghao Han, Zenglin Xu
Self-paced and auto-weighted multi-view clustering. Neurocomputing 383 (2020)
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)
Alex Ayling, Shudong Huang, Elyse Rosenbaum
Sub-nanosecond Reverse Recovery Measurement for ESD Devices. IRPS (2020)
Shudong Huang, Zenglin Xu, Zhao Kang, Yazhou Ren
Regularized nonnegative matrix factorization with adaptive local structure learning. Neurocomputing 382 (2020)
Shudong Huang, Zenglin Xu, Ivor W. Tsang, Zhao Kang
Auto-weighted multi-view co-clustering with bipartite graphs. Inf. Sci. 512 (2020)
Ian Soboroff, Shudong Huang, Donna Harman
TREC 2020 News Track Overview. TREC (2020)
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)
Zhao Kang, Zipeng Guo, Shudong Huang, Siying Wang, Wenyu Chen, Yuanzhang Su, Zenglin Xu
Multiple Partitions Aligned Clustering. CoRR (2019)
Shudong Huang, Zhao Kang, Ivor W. Tsang, Zenglin Xu
Auto-weighted multi-view clustering via kernelized graph learning. Pattern Recognit. 88 (2019)
Zhao Kang, Guoxin Shi, Shudong Huang, Wenyu Chen, Xiaorong Pu, Joey Tianyi Zhou, Zenglin Xu
Multi-graph Fusion for Multi-view Spectral Clustering. CoRR (2019)
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 (2019)
Zhao Kang, Zipeng Guo, Shudong Huang, Siying Wang, Wenyu Chen, Yuanzhang Su, Zenglin Xu
Multiple Partitions Aligned Clustering. IJCAI (2019)
Shudong Huang, Zhao Kang, Zenglin Xu
Self-weighted multi-view clustering with soft capped norm. Knowl. Based Syst. 158 (2018)
Ian Soboroff, Shudong Huang, Donna Harman
TREC 2018 News Track Overview. TREC (2018)
Shudong Huang, Yazhou Ren, Zenglin Xu
Robust multi-view data clustering with multi-view capped-norm K-means. Neurocomputing 311 (2018)
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) (2018)
Shudong Huang, Ian Soboroff, Donna Harman
TREC 2018 News Track. NewsIR@ECIR (2018)
Shudong Huang, Zenglin Xu, Jiancheng Lv
Adaptive local structure learning for document co-clustering. Knowl. Based Syst. 148 (2018)
Shudong Huang, Hongjun Wang, Tao Li, Tianrui Li, Zenglin Xu
Robust graph regularized nonnegative matrix factorization for clustering. Data Min. Knowl. Discov. 32 (2) (2018)
Shudong Huang, Zenglin Xu, Fei Wang
Nonnegative matrix factorization with adaptive neighbors. IJCNN (2017)
Shudong Huang, Hongjun Wang, Tao Li, Yan Yang, Tianrui Li
Constraint Co-Projections for Semi-Supervised Co-Clustering. IEEE Trans. Cybern. 46 (12) (2016)
Shudong Huang, Hongjun Wang, Dingcheng Li, Yan Yang, Tianrui Li
Spectral co-clustering ensemble. Knowl. Based Syst. 84 (2015)
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)
Yi Liu, Pascale Fung, Yongsheng Yang, Christopher Cieri, Shudong Huang, David Graff
HKUST/MTS: A Very Large Scale Mandarin Telephone Speech Corpus. ISCSLP (2006)
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)