Shudong Huang

According to our database, Shudong Huang authored at least 68 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Euclidean Distance is Not Your Swiss Army Knife.

Yuze Tan, Yixi Liu, Hongjie Wu, Shudong Huang, Zenglin Xu, Ivor W. Tsang, Jiancheng Lv

IEEE Trans. Knowl. Data Eng., December, 2024

CGDD: Multiview Graph Clustering via Cross-Graph Diversity Detection.

Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Self-Weighted Contrastive Fusion for Deep Multi-View Clustering.

Song Wu, Yan Zheng, Yazhou Ren, Jing He, Xiaorong Pu, Shudong Huang, Zhifeng Hao, Lifang He

IEEE Trans. Multim., 2024

Disentangled Representation with Cross Experts Covariance Loss for Multi-Domain Recommendation.

Zhutian Lin, Junwei Pan, Haibin Yu, Xi Xiao, Ximei Wang, Zhixiang Feng, Shifeng Wen, Shudong Huang, Lei Xiao, Jie Jiang

CoRR, 2024

DrugLLM: Open Large Language Model for Few-shot Molecule Generation.

Xianggen Liu, Yan Guo, Haoran Li, Jin Liu, Shudong Huang, Bowen Ke, Jiancheng Lv

CoRR, 2024

Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation.

Xiaolin Lin, Jinwei Luo, Junwei Pan, Weike Pan, Zhong Ming, Xun Liu, Shudong Huang, Jie Jiang

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Adaptive Instance-wise Multi-view Clustering.

Shudong Huang, Hecheng Cai, Hao Dai, Wentao Feng, Jiancheng Lv

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Understanding the Ranking Loss for Recommendation with Sparse User Feedback.

Zhutian Lin, Junwei Pan, Shangyu Zhang, Ximei Wang, Xi Xiao, Shudong Huang, Lei Xiao, Jie Jiang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Reduced RC Time Constant High Voltage Tolerant Supply Clamp for ESD Protection in 16nm FinFET Technology.

Shudong Huang, Srivatsan Parthasarathy, Yuanzhong Paul Zhou, Jean-Jacques Hajjar, Elyse Rosenbaum

Proceedings of the IEEE International Reliability Physics Symposium, 2024

Robust Contrastive Multi-view Kernel Clustering.

Peng Su, Yixi Liu, Shujian Li, Shudong Huang, Jiancheng Lv

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

With a Little Help from Language: Semantic Enhanced Visual Prototype Framework for Few-Shot Learning.

Hecheng Cai, Yang Liu, Shudong Huang, Jiancheng Lv

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Multi-View Clustering by Inter-cluster Connectivity Guided Reward.

Hao Dai, Yang Liu, Peng Su, Hecheng Cai, Shudong Huang, Jiancheng Lv

Proceedings of the Forty-first International Conference on Machine Learning, 2024

An Effective Augmented Lagrangian Method for Fine-Grained Multi-View Optimization.

Yuze Tan, Hecheng Cai, Shudong Huang, Shuping Wei, Fan Yang, Jiancheng Lv

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Smooth representation learning from multi-view data.

Shudong Huang, Yixi Liu, Hecheng Cai, Yuze Tan, Chenwei Tang, Jiancheng Lv

Inf. Fusion, December, 2023

Multi-View Subspace Clustering by Joint Measuring of Consistency and Diversity.

Shudong Huang, Yixi Liu, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv

IEEE Trans. Knowl. Data Eng., August, 2023

Latent Representation Guided Multi-View Clustering.

Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv

IEEE Trans. Knowl. Data Eng., July, 2023

Pure graph-guided multi-view subspace clustering.

Hongjie Wu, Shudong Huang, Chenwei Tang, Yancheng Zhang, Jiancheng Lv

Pattern Recognit., April, 2023

Evaluating the impact of test-trace-isolate for COVID-19 management and alternative strategies.

Kun Zhang, Zhichu Xia, Shudong Huang, Gui-Quan Sun, Jiancheng Lv, Marco Ajelli, Keisuke Ejima, Quan-Hui Liu

PLoS Comput. Biol., 2023

Analysis and Applications of Deep Learning with Finite Samples in Full Life-Cycle Intelligence of Nuclear Power Generation.

Chenwei Tang, Wenqiang Zhou, Dong Wang, Caiyang Yu, Zhenan He, Jizhe Zhou, Shudong Huang, Yi Gao, Jianming Chen, Wentao Feng, Jiancheng Lv

CoRR, 2023

PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning.

Mingjia Shi, Yuhao Zhou, Kai Wang, Huaizheng Zhang, Shudong Huang, Qing Ye, Jiangcheng Lv

CoRR, 2023

PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning.

Mingjia Shi, Yuhao Zhou, Kai Wang, Huaizheng Zhang, Shudong Huang, Qing Ye, Jiancheng Lv

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multimodal Physiological Signals Fusion for Online Emotion Recognition.

Tongjie Pan, Yalan Ye, Hecheng Cai, Shudong Huang, Yang Yang, Guoqing Wang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Preserving Local and Global Information: An Effective Metric-based Subspace Clustering.

Yixi Liu, Yuze Tan, Hongjie Wu, Shudong Huang, Yazhou Ren, Jiancheng Lv

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Optimization of SCR for High-Speed Digital and RF Applications in 45-nm SOI CMOS Technology.

Shudong Huang, Srivatsan Parthasarathy, Yuanzhong Paul Zhou, Jean-Jacques Hajjar, Elyse Rosenbaum

Proceedings of the IEEE International Reliability Physics Symposium, 2023

Lifelong Multi-view Spectral Clustering.

Hecheng Cai, Yuze Tan, Shudong Huang, Jiancheng Lv

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Sample-level Multi-view Graph Clustering.

Yuze Tan, Yixi Liu, Shudong Huang, Wentao Feng, Jiancheng Lv

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Metric Multi-View Graph Clustering.

Yuze Tan, Yixi Liu, Hongjie Wu, Jiancheng Lv, Shudong Huang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering.

Zongmo Huang, Yazhou Ren, Xiaorong Pu, Shudong Huang, Zenglin Xu, Lifang He

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Measuring Diversity in Graph Learning: A Unified Framework for Structured Multi-View Clustering.

Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv

IEEE Trans. Knowl. Data Eng., 2022

Efficient federated multi-view learning.

Shudong Huang, Wei Shi, Zenglin Xu, Ivor W. Tsang, Jiancheng Lv

Pattern Recognit., 2022

Multiple partitions alignment via spectral rotation.

Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv

Mach. Learn., 2022

Spaks: Self-paced multiple kernel subspace clustering with feature smoothing regularization.

Qian Zhang, Zhao Kang, Zenglin Xu, Shudong Huang, Hongguang Fu

Knowl. Based Syst., 2022

Partial Differential Equations Meet Deep Neural Networks: A Survey.

Shudong Huang, Wentao Feng, Chenwei Tang, Jiancheng Lv

CoRR, 2022

Variational Graph Generator for Multi-View Graph Clustering.

Jianpeng Chen, Yawen Ling, Jie Xu, Yazhou Ren, Shudong Huang, Xiaorong Pu, Lifang He

CoRR, 2022

Multi-view Subspace Clustering on Topological Manifold.

Shudong Huang, Hongjie Wu, Yazhou Ren, Ivor W. Tsang, Zenglin Xu, Wentao Feng, Jiancheng Lv

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Self-Paced Label Distribution Learning for In-The-Wild Facial Expression Recognition.

Jianjian Shao, Zhenqian Wu, Yuanyan Luo, Shudong Huang, Xiaorong Pu, Yazhou Ren

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Learning Smooth Representation for Multi-view Subspace Clustering.

Shudong Huang, Yixi Liu, Yazhou Ren, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

A High Voltage Tolerant Supply Clamp for ESD Protection in a 45-nm SOI Technology.

Shudong Huang, Srivatsan Parthasarathy, Yuanzhong Paul Zhou, Jean-Jacques Hajjar, Elyse Rosenbaum

Proceedings of the IEEE International Reliability Physics Symposium, 2022

Multi-View Clustering on Topological Manifold.

Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv, Quanhui Liu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Robust deep k-means: An effective and simple method for data clustering.

Shudong Huang, Zhao Kang, Zenglin Xu, Quanhui Liu

Pattern Recognit., 2021

Co-Adjustment Learning for Co-Clustering.

Ji Zhang, Hongjun Wang, Shudong Huang, Tianrun Li, Peng Jin, Ping Deng, Qigang Zhao

Cogn. Comput., 2021

CDD: Multi-view Subspace Clustering via Cross-view Diversity Detection.

Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv, Quanhui Liu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Compact Model of ESD Diode Suitable for Subnanosecond Switching Transients.

Shudong Huang, Elyse Rosenbaum

Proceedings of the IEEE International Reliability Physics Symposium, 2021

2020

Auto-weighted multi-view clustering via deep matrix decomposition.

Shudong Huang, Zhao Kang, Zenglin Xu

Pattern Recognit., 2020

Multi-graph fusion for multi-view spectral clustering.

Zhao Kang, Guoxin Shi, Shudong Huang, Wenyu Chen, Xiaorong Pu, Joey Tianyi Zhou, Zenglin Xu

Knowl. Based Syst., 2020

Auto-weighted multi-view co-clustering with bipartite graphs.

Shudong Huang, Zenglin Xu, Ivor W. Tsang, Zhao Kang

Inf. Sci., 2020

Self-paced and auto-weighted multi-view clustering.

Yazhou Ren, Shudong Huang, Peng Zhao, Minghao Han, Zenglin Xu

Neurocomputing, 2020

Regularized nonnegative matrix factorization with adaptive local structure learning.

Shudong Huang, Zenglin Xu, Zhao Kang, Yazhou Ren

Neurocomputing, 2020

TREC 2020 News Track Overview.

Ian Soboroff, Shudong Huang, Donna Harman

Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

Deep K-Means: A Simple and Effective Method for Data Clustering.

Shudong Huang, Zhao Kang, Zenglin Xu

Proceedings of the Neural Computing for Advanced Applications, 2020

Sub-nanosecond Reverse Recovery Measurement for ESD Devices.

Alex Ayling, Shudong Huang, Elyse Rosenbaum

Proceedings of the 2020 IEEE International Reliability Physics Symposium, 2020

2019

Auto-weighted multi-view clustering via kernelized graph learning.

Shudong Huang, Zhao Kang, Ivor W. Tsang, Zenglin Xu

Pattern Recognit., 2019

Improved Gaussian-Bernoulli restricted Boltzmann machine for learning discriminative representations.

Ji Zhang, Hongjun Wang, Jielei Chu, Shudong Huang, Tianrui Li, Qigang Zhao

Knowl. Based Syst., 2019

Self-paced and soft-weighted nonnegative matrix factorization for data representation.

Shudong Huang, Peng Zhao, Yazhou Ren, Tianrui Li, Zenglin Xu

Knowl. Based Syst., 2019

Multiple Partitions Aligned Clustering.

Zhao Kang, Zipeng Guo, Shudong Huang, Siying Wang, Wenyu Chen, Yuanzhang Su, Zenglin Xu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Overview of the NIST 2016 LoReHLT evaluation.

Audrey Tong, Lukas L. Diduch, Jonathan G. Fiscus, Yasaman Haghpanah, Shudong Huang, David Joy, Kay Peterson, Ian Soboroff

Mach. Transl., 2018

Adaptive local structure learning for document co-clustering.

Shudong Huang, Zenglin Xu, Jiancheng Lv

Knowl. Based Syst., 2018

Self-weighted multi-view clustering with soft capped norm.

Shudong Huang, Zhao Kang, Zenglin Xu

Knowl. Based Syst., 2018

Robust multi-view data clustering with multi-view capped-norm K-means.

Shudong Huang, Yazhou Ren, Zenglin Xu

Neurocomputing, 2018

Robust graph regularized nonnegative matrix factorization for clustering.

Shudong Huang, Hongjun Wang, Tao Li, Tianrui Li, Zenglin Xu

Data Min. Knowl. Discov., 2018

TREC 2018 News Track Overview.

Ian Soboroff, Shudong Huang, Donna Harman

Proceedings of the Twenty-Seventh Text REtrieval Conference, 2018

TREC 2018 News Track.

Shudong Huang, Ian Soboroff, Donna Harman

Proceedings of the Second International Workshop on Recent Trends in News Information Retrieval co-located with 40th European Conference on Information Retrieval (ECIR 2018), 2018

2017

Nonnegative matrix factorization with adaptive neighbors.

Shudong Huang, Zenglin Xu, Fei Wang

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Constraint Co-Projections for Semi-Supervised Co-Clustering.

Shudong Huang, Hongjun Wang, Tao Li, Yan Yang, Tianrui Li

IEEE Trans. Cybern., 2016

2015

Spectral co-clustering ensemble.

Shudong Huang, Hongjun Wang, Dingcheng Li, Yan Yang, Tianrui Li

Knowl. Based Syst., 2015

2006

The Mixer and Transcript Reading Corpora: Resources for Multilingual, Crosschannel Speaker Recognition Research.

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

Proceedings of the Fifth International Conference on Language Resources and Evaluation, 2006

HKUST/MTS: A Very Large Scale Mandarin Telephone Speech Corpus.

Yi Liu, Pascale Fung, Yongsheng Yang, Christopher Cieri, Shudong Huang, David Graff

Proceedings of the Chinese Spoken Language Processing, 5th International Symposium, 2006

2004

Development of a Chinese telephony conversational corpus for speech processing [speech recognition applications].

Yi Liu, Pascale Fung, Shudong Huang, Chris Cieri, Lu-Feng Zhai, Benfeng Chen

Proceedings of the 2004 International Symposium on Chinese Spoken Language Processing, 2004