Development of a Chinese telephony conversational corpus for speech processing [speech recognition applications]. - Yi Liu 022; Pascale Fung; Shudong Huang; Chris Cieri; Lu-Feng Zhai; Benfeng Chen (ISCSLP, 2004)

HKUST/MTS: A Very Large Scale Mandarin Telephone Speech Corpus. - Yi Liu 022; Pascale Fung; Yongsheng Yang; Christopher Cieri; Shudong Huang; David Graff (ISCSLP (Selected Papers), 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 Y. Liberman; Alvin F. Martin; Hirotaka Nakasone; Mark A. Przybocki; Kevin Walker (LREC, 2006)

Spectral co-clustering ensemble. - Shudong Huang; Hongjun Wang 002; Dingcheng Li; Yan Yang 001; Tianrui Li 001 (Knowl. Based Syst., 2015)

Constraint Co-Projections for Semi-Supervised Co-Clustering. - Shudong Huang; Hongjun Wang 002; Tao Li 001; Yan Yang 001; Tianrui Li 001 (IEEE Trans. Cybern., 2016)

Nonnegative matrix factorization with adaptive neighbors. - Shudong Huang; Zenglin Xu; Fei Wang 001 (IJCNN, 2017)

TREC 2018 News Track. - Shudong Huang; Ian Soboroff; Donna Harman (NewsIR@ECIR, 2018)

TREC 2018 News Track Overview. - Ian Soboroff; Shudong Huang; Donna Harman (TREC, 2018)

Robust graph regularized nonnegative matrix factorization for clustering. - Shudong Huang; Hongjun Wang 002; Tao Li 001; Tianrui Li 001; Zenglin Xu (Data Min. Knowl. Discov., 2018)

Robust multi-view data clustering with multi-view capped-norm K-means. - Shudong Huang; Yazhou Ren 001; Zenglin Xu (Neurocomputing, 2018)

Self-weighted multi-view clustering with soft capped norm. - Shudong Huang; Zhao Kang 001; Zenglin Xu (Knowl. Based Syst., 2018)

Adaptive local structure learning for document co-clustering. - Shudong Huang; Zenglin Xu; Jiancheng Lv 001 (Knowl. Based Syst., 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)

Multiple Partitions Aligned Clustering. - Zhao Kang 001; Zipeng Guo; Shudong Huang; Siying Wang 002; Wenyu Chen 001; Yuanzhang Su; Zenglin Xu (IJCAI, 2019)

Self-paced and soft-weighted nonnegative matrix factorization for data representation. - Shudong Huang; Peng Zhao; Yazhou Ren 001; Tianrui Li 001; Zenglin Xu (Knowl. Based Syst., 2019)

Improved Gaussian-Bernoulli restricted Boltzmann machine for learning discriminative representations. - Ji Zhang; Hongjun Wang 002; Jielei Chu; Shudong Huang; Tianrui Li 001; Qigang Zhao (Knowl. Based Syst., 2019)

Auto-weighted multi-view clustering via kernelized graph learning. - Shudong Huang; Zhao Kang 001; Ivor W. Tsang; Zenglin Xu (Pattern Recognit., 2019)

Sub-nanosecond Reverse Recovery Measurement for ESD Devices. - Alex Ayling; Shudong Huang; Elyse Rosenbaum (IRPS, 2020)

Deep K-Means: A Simple and Effective Method for Data Clustering. - Shudong Huang; Zhao Kang 001; Zenglin Xu (NCAA, 2020)

TREC 2020 News Track Overview. - Ian Soboroff; Shudong Huang; Donna Harman (TREC, 2020)

Regularized nonnegative matrix factorization with adaptive local structure learning. - Shudong Huang; Zenglin Xu; Zhao Kang 001; Yazhou Ren 001 (Neurocomputing, 2020)

Self-paced and auto-weighted multi-view clustering. - Yazhou Ren 001; Shudong Huang; Peng Zhao; Minghao Han; Zenglin Xu (Neurocomputing, 2020)

Auto-weighted multi-view co-clustering with bipartite graphs. - Shudong Huang; Zenglin Xu; Ivor W. Tsang; Zhao Kang 001 (Inf. Sci., 2020)

Multi-graph fusion for multi-view spectral clustering. - Zhao Kang 001; Guoxin Shi; Shudong Huang; Wenyu Chen 001; Xiaorong Pu; Joey Tianyi Zhou; Zenglin Xu (Knowl. Based Syst., 2020)

Auto-weighted multi-view clustering via deep matrix decomposition. - Shudong Huang; Zhao Kang 001; Zenglin Xu (Pattern Recognit., 2020)

Compact Model of ESD Diode Suitable for Subnanosecond Switching Transients. - Shudong Huang; Elyse Rosenbaum (IRPS, 2021)

CDD: Multi-view Subspace Clustering via Cross-view Diversity Detection. - Shudong Huang; Ivor W. Tsang; Zenglin Xu; Jiancheng Lv 001; Quanhui Liu (ACM Multimedia, 2021)

Co-Adjustment Learning for Co-Clustering. - Ji Zhang; Hongjun Wang 002; Shudong Huang; Tianrun Li; Peng Jin; Ping Deng 002; Qigang Zhao (Cogn. Comput., 2021)

Robust deep k-means: An effective and simple method for data clustering. - Shudong Huang; Zhao Kang 001; Zenglin Xu; Quanhui Liu (Pattern Recognit., 2021)

Multi-View Clustering on Topological Manifold. - Shudong Huang; Ivor W. Tsang; Zenglin Xu; Jiancheng Lv 001; Quanhui Liu (AAAI, 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 (IRPS, 2022)

Learning Smooth Representation for Multi-view Subspace Clustering. - Shudong Huang; Yixi Liu; Yazhou Ren 001; Ivor W. Tsang; Zenglin Xu; Jiancheng Lv 001 (ACM Multimedia, 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 001 (ACM Multimedia, 2022)

Multi-view Subspace Clustering on Topological Manifold. - Shudong Huang; Hongjie Wu; Yazhou Ren 001; Ivor W. Tsang; Zenglin Xu; Wentao Feng; Jiancheng Lv 001 (NeurIPS, 2022)

Variational Graph Generator for Multi-View Graph Clustering. - Jianpeng Chen; Yawen Ling; Jie Xu 044; Yazhou Ren 001; Shudong Huang; Xiaorong Pu; Lifang He 001 (CoRR, 2022)

Partial Differential Equations Meet Deep Neural Networks: A Survey. - Shudong Huang; Wentao Feng; Chenwei Tang; Jiancheng Lv 001 (CoRR, 2022)

Spaks: Self-paced multiple kernel subspace clustering with feature smoothing regularization. - Qian Zhang; Zhao Kang 001; Zenglin Xu; Shudong Huang; Hongguang Fu (Knowl. Based Syst., 2022)

Multiple partitions alignment via spectral rotation. - Shudong Huang; Ivor W. Tsang; Zenglin Xu; Jiancheng Lv 001 (Mach. Learn., 2022)

Efficient federated multi-view learning. - Shudong Huang; Wei Shi; Zenglin Xu; Ivor W. Tsang; Jiancheng Lv 001 (Pattern Recognit., 2022)

Measuring Diversity in Graph Learning: A Unified Framework for Structured Multi-View Clustering. - Shudong Huang; Ivor W. Tsang; Zenglin Xu; Jiancheng Lv 001 (IEEE Trans. Knowl. Data Eng., 2022)

Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering. - Zongmo Huang; Yazhou Ren 001; Xiaorong Pu; Shudong Huang; Zenglin Xu; Lifang He 001 (AAAI, 2023)

Metric Multi-View Graph Clustering. - Yuze Tan; Yixi Liu; Hongjie Wu; Jiancheng Lv 001; Shudong Huang (AAAI, 2023)

Sample-level Multi-view Graph Clustering. - Yuze Tan; Yixi Liu; Shudong Huang; Wentao Feng; Jiancheng Lv 001 (CVPR, 2023)

Lifelong Multi-view Spectral Clustering. - Hecheng Cai; Yuze Tan; Shudong Huang; Jiancheng Lv 001 (IJCAI, 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 (IRPS, 2023)

Preserving Local and Global Information: An Effective Metric-based Subspace Clustering. - Yixi Liu; Yuze Tan; Hongjie Wu; Shudong Huang; Yazhou Ren 001; Jiancheng Lv 001 (ACM Multimedia, 2023)

Multimodal Physiological Signals Fusion for Online Emotion Recognition. - Tongjie Pan; Yalan Ye; Hecheng Cai; Shudong Huang; Yang Yang 002; Guoqing Wang 001 (ACM Multimedia, 2023)

PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning. - Mingjia Shi; Yuhao Zhou; Kai Wang 036; Huaizheng Zhang; Shudong Huang; Qing Ye; Jiancheng Lv 001 (NeurIPS, 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)

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 001; Jizhe Zhou; Shudong Huang; Yi Gao; Jianming Chen; Wentao Feng; Jiancheng Lv 001 (CoRR, 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 001; Marco Ajelli; Keisuke Ejima; Quan-Hui Liu (PLoS Comput. Biol., 2023)

Pure graph-guided multi-view subspace clustering. - Hongjie Wu; Shudong Huang; Chenwei Tang; Yancheng Zhang; Jiancheng Lv 001 (Pattern Recognit., 2023)

Latent Representation Guided Multi-View Clustering. - Shudong Huang; Ivor W. Tsang; Zenglin Xu; Jiancheng Lv 001 (IEEE Trans. Knowl. Data Eng., 2023)

Multi-View Subspace Clustering by Joint Measuring of Consistency and Diversity. - Shudong Huang; Yixi Liu; Ivor W. Tsang; Zenglin Xu; Jiancheng Lv 001 (IEEE Trans. Knowl. Data Eng., 2023)

Smooth representation learning from multi-view data. - Shudong Huang; Yixi Liu; Hecheng Cai; Yuze Tan; Chenwei Tang; Jiancheng Lv 001 (Inf. Fusion, 2023)

An Effective Augmented Lagrangian Method for Fine-Grained Multi-View Optimization. - Yuze Tan; Hecheng Cai; Shudong Huang; Shuping Wei; Fan Yang; Jiancheng Lv 001 (AAAI, 2024)

Multi-View Clustering by Inter-cluster Connectivity Guided Reward. - Hao Dai; Yang Liu; Peng Su; Hecheng Cai; Shudong Huang; Jiancheng Lv 001 (ICML, 2024)

With a Little Help from Language: Semantic Enhanced Visual Prototype Framework for Few-Shot Learning. - Hecheng Cai; Yang Liu; Shudong Huang; Jiancheng Lv 001 (IJCAI, 2024)

Robust Contrastive Multi-view Kernel Clustering. - Peng Su; Yixi Liu; Shujian Li; Shudong Huang; Jiancheng Lv 001 (IJCAI, 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 (IRPS, 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 015 (KDD, 2024)

Adaptive Instance-wise Multi-view Clustering. - Shudong Huang; Hecheng Cai; Hao Dai; Wentao Feng; Jiancheng Lv 001 (ACM Multimedia, 2024)

Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation. - Xiaolin Lin; Jinwei Luo; Junwei Pan; Weike Pan; Zhong Ming 001; Xun Liu; Shudong Huang; Jie Jiang 015 (WSDM, 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 001 (CoRR, 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 015 (CoRR, 2024)

Towards Unifying Feature Interaction Models for Click-Through Rate Prediction. - Yu Kang; Junwei Pan; Jipeng Jin; Shudong Huang; Xiaofeng Gao 001; Lei Xiao (CoRR, 2024)

Self-Weighted Contrastive Fusion for Deep Multi-View Clustering. - Song Wu; Yan Zheng; Yazhou Ren 001; Jing He 004; Xiaorong Pu; Shudong Huang; Zhifeng Hao; Lifang He 001 (IEEE Trans. Multim., 2024)

CGDD: Multiview Graph Clustering via Cross-Graph Diversity Detection. - Shudong Huang; Ivor W. Tsang; Zenglin Xu; Jiancheng Lv 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Euclidean Distance is Not Your Swiss Army Knife. - Yuze Tan; Yixi Liu; Hongjie Wu; Shudong Huang; Zenglin Xu; Ivor W. Tsang; Jiancheng Lv 001 (IEEE Trans. Knowl. Data Eng., 2024)

Learning Dynamic Similarity by Bidirectional Hierarchical Sliding Semantic Probe for Efficient Text Video Retrieval. - Yang Liu; Shudong Huang; Deng Xiong; Jiancheng Lv 001 (AAAI, 2025)

Asymmetric Visual Semantic Embedding Framework for Efficient Vision-Language Alignment. - Yang Liu; Mengyuan Liu; Shudong Huang; Jiancheng Lv 001 (AAAI, 2025)

Multi-view Granular-ball Contrastive Clustering. - Peng Su; Shudong Huang; Weihong Ma; Deng Xiong; Jiancheng Lv 001 (AAAI, 2025)

Optimized CDM-ESD Protection for 100+ Gbps Wireline IO in 16-nm CMOS. - Shudong Huang; Elyse Rosenbaum (IRPS, 2025)

An empirical study on optimizing binary spiking neural networks for neuromorphic computing. - Ping He; Rong Xiao 001; Chenwei Tang; Shudong Huang; Jiancheng Lv 001 (Appl. Soft Comput., 2025)

DSAIS-PINN: Dynamic seeds allocation importance sampling for physics-informed neural networks. - Wentao Feng; Ming Hu; Rui Huang; Chenwei Tang; Shudong Huang; Jiancheng Lv 001 (Neurocomputing, 2025)

Aligning Information Capacity Between Vision and Language via Dense-to-Sparse Feature Distillation for Image-Text Matching. - Yang Liu; Wentao Feng; Zhuoyao Liu; Shudong Huang; Jiancheng Lv 001 (CoRR, 2025)

Variational Graph Generator for Multiview Graph Clustering. - Jianpeng Chen; Yawen Ling; Jie Xu 044; Yazhou Ren 001; Shudong Huang; Xiaorong Pu; Zhifeng Hao; Philip S. Yu; Lifang He 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

STSF: Spiking Time Sparse Feedback Learning for Spiking Neural Networks. - Ping He; Rong Xiao 001; Chenwei Tang; Shudong Huang; Jiancheng Lv 001; Huajin Tang (IEEE Trans. Neural Networks Learn. Syst., 2025)

Dual Prompt Learning for Adapting Vision-Language Models to Downstream Image-Text Retrieval. - Yifan Wang; Tao Wang 053; Chenwei Tang; Caiyang Yu; Zhengqing Zang; Mengmi Zhang; Shudong Huang; Jiancheng Lv 001 (CoRR, 2025)

Large Foundation Model for Ads Recommendation. - Shangyu Zhang; Shijie Quan; Zhongren Wang 003; Junwei Pan; Tianqu Zhuang; Bo Fu; Yilong Sun; Jieying Lin; Jushuo Chen; Xiaotian Li; Zhixiang Feng; Xian Hu; et al. (CoRR, 2025)

Implicit Multi-Behavior Generative Recommendation With Mixture of Quantization. - Yuze Tan; Yanjie Gou; Kouying Xue; Shudong Huang; Yi Hu; Ivor W. Tsang; Jiancheng Lv 001 (IEEE Trans. Knowl. Data Eng., 2025)

Partial Differential Equations Meet Deep Neural Networks: A Survey. - Shudong Huang; Wentao Feng; Chenwei Tang; Zhenan He 001; Caiyang Yu; Jiancheng Lv 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)