Shudong Huang - RankMe

97 papers A* 26A 2B 2Journal 54Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FDNet: High-frequency disentanglement network with information-theoretic guidance for multivariate time series forecasting. Pattern Recognit. Ao Hu, Liangjian Wen, Jiang Duan, Yong Dai, Dongkai Wang, Shudong Huang, Jun Wang, Zenglin Xu
2026	J	`jnl`	Optimal transport filtering for robust cross-modal retrieval with open-set noisy labels. Pattern Recognit. Xinliu Liu, Ruitao Pu, Yuan Sun, Yingke Chen, Shudong Huang, Dezhong Peng, Yongsheng Sang, Ziming Wang
2026	A*	`conf`	PCSR: Pseudo-label Consistency-Guided Sample Refinement for Noisy Correspondence Learning. AAAI Zhuoyao Liu, Yang Liu, Wentao Feng, Shudong Huang
2026	A*	`conf`	S3Net: Spatiotemporally Separated Sparse Network for Neuromorphic Vision Processing. AAAI Ping He, Rong Xiao, Wanying Xu, Chenwei Tang, Shudong Huang, Huajin Tang
2025	J	`jnl`	Aligning Information Capacity Between Vision and Language via Dense-to-Sparse Feature Distillation for Image-Text Matching. CoRR Yang Liu, Wentao Feng, Zhuoyao Liu, Shudong Huang, Jiancheng Lv
2025	J	`jnl`	An empirical study on optimizing binary spiking neural networks for neuromorphic computing. Appl. Soft Comput. Ping He, Rong Xiao, Chenwei Tang, Shudong Huang, Jiancheng Lv
2025	A*	`conf`	Asymmetric Visual Semantic Embedding Framework for Efficient Vision-Language Alignment. AAAI Yang Liu, Mengyuan Liu, Shudong Huang, Jiancheng Lv
2025	J	`jnl`	Asymmetric Visual Semantic Embedding Framework for Efficient Vision-Language Alignment. CoRR Yang Liu, Mengyuan Liu, Shudong Huang, Jiancheng Lv
2025	A	`conf`	Crocodile: Cross Experts Covariance for Disentangled Learning in Multi-Domain Recommendation. CIKM Zhutian Lin, Junwei Pan, Haibin Yu, Xi Xiao, Ximei Wang, Zhixiang Feng, Shifeng Wen, Shudong Huang, Dapeng Liu, Lei Xiao
2025	A*	`conf`	DONIS: Importance Sampling for Training Physics-Informed DeepONet. IJCAI Shudong Huang, Rui Huang, Ming Hu, Wentao Feng, Jiancheng Lv
2025	J	`jnl`	DSAIS-PINN: Dynamic seeds allocation importance sampling for physics-informed neural networks. Neurocomputing Wentao Feng, Ming Hu, Rui Huang, Chenwei Tang, Shudong Huang, Jiancheng Lv
2025	A*	`conf`	Dual Prompt Learning for Adapting Vision-Language Models to Downstream Image-Text Retrieval. ACM Multimedia Yifan Wang, Tao Wang, Chenwei Tang, Caiyang Yu, Zhengqing Zang, Mengmi Zhang, Shudong Huang, Jiancheng Lv
2025	J	`jnl`	Dual Prompt Learning for Adapting Vision-Language Models to Downstream Image-Text Retrieval. CoRR Yifan Wang, Tao Wang, Chenwei Tang, Caiyang Yu, Zhengqing Zang, Mengmi Zhang, Shudong Huang, Jiancheng Lv
2025	J	`jnl`	Implicit Multi-Behavior Generative Recommendation With Mixture of Quantization. IEEE Trans. Knowl. Data Eng. Yuze Tan, Yanjie Gou, Kouying Xue, Shudong Huang, Yi Hu, Ivor W. Tsang, Jiancheng Lv
2025	J	`jnl`	Large Foundation Model for Ads Recommendation. CoRR Shangyu Zhang, Shijie Quan, Zhongren Wang, Junwei Pan, Tianqu Zhuang, Bo Fu, Yilong Sun, Jieying Lin, Jushuo Chen, Xiaotian Li, Zhixiang Feng, Xian Hu, Huiting Deng, Hua Lu, Jinpeng Wang, Boqi Dai, Xiaoyu Chen, Bin Hu, Lili Huang, Yanwen Wu, Yeshou Cai, Qi Zhou, Huang Tang, Chunfeng Yang, Chengguo Yin, Tingyu Jiang, Lifeng Wang, Shudong Huang, Dapeng Liu, Lei Xiao, Haijie Gu, Shu-Tao Xia, Jie Jiang
2025	A*	`conf`	Learning Dynamic Similarity by Bidirectional Hierarchical Sliding Semantic Probe for Efficient Text Video Retrieval. AAAI Yang Liu, Shudong Huang, Deng Xiong, Jiancheng Lv
2025	A*	`conf`	Multi-view Granular-ball Contrastive Clustering. AAAI Peng Su, Shudong Huang, Weihong Ma, Deng Xiong, Jiancheng Lv
2025	—	`conf`	Optimized CDM-ESD Protection for 100+ Gbps Wireline IO in 16-nm CMOS. IRPS Shudong Huang, Elyse Rosenbaum
2025	J	`jnl`	PCSR: Pseudo-label Consistency-Guided Sample Refinement for Noisy Correspondence Learning. CoRR Zhuoyao Liu, Yang Liu, Wentao Feng, Shudong Huang
2025	J	`jnl`	Partial Differential Equations Meet Deep Neural Networks: A Survey. IEEE Trans. Neural Networks Learn. Syst. Shudong Huang, Wentao Feng, Chenwei Tang, Zhenan He, Caiyang Yu, Jiancheng Lv
2025	J	`jnl`	Practice on Long Behavior Sequence Modeling in Tencent Advertising. CoRR Xian Hu, Ming Yue, Zhixiang Feng, Junwei Pan, Junjie Zhai, Ximei Wang, Xinrui Miao, Qian Li, Xun Liu, Shangyu Zhang, Letian Wang, Hua Lu, Zijian Zeng, Chen Cai, Wei Wang, Fei Xiong, Pengfei Xiong, Jintao Zhang, Zhiyuan Wu, Chunhui Zhang, Anan Liu, Jiulong You, Chao Deng, Yuekui Yang, Shudong Huang, Dapeng Liu, Haijie Gu
2025	J	`jnl`	STSF: Spiking Time Sparse Feedback Learning for Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Ping He, Rong Xiao, Chenwei Tang, Shudong Huang, Jiancheng Lv, Huajin Tang
2025	—	`conf`	Towards Unifying Feature Interaction Models for Click-Through Rate Prediction. ECML/PKDD (5) Yu Kang, Junwei Pan, Jipeng Jin, Shudong Huang, Xiaofeng Gao, Lei Xiao
2025	J	`jnl`	Variational Graph Generator for Multiview Graph Clustering. IEEE Trans. Neural Networks Learn. Syst. Jianpeng Chen, Yawen Ling, Jie Xu, Yazhou Ren, Shudong Huang, Xiaorong Pu, Zhifeng Hao, Philip S. Yu, Lifang He
2024	A*	`conf`	Adaptive Instance-wise Multi-view Clustering. ACM Multimedia Shudong Huang, Hecheng Cai, Hao Dai, Wentao Feng, Jiancheng Lv
2024	A*	`conf`	An Effective Augmented Lagrangian Method for Fine-Grained Multi-View Optimization. AAAI Yuze Tan, Hecheng Cai, Shudong Huang, Shuping Wei, Fan Yang, Jiancheng Lv
2024	J	`jnl`	CGDD: Multiview Graph Clustering via Cross-Graph Diversity Detection. IEEE Trans. Neural Networks Learn. Syst. Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv
2024	J	`jnl`	Disentangled Representation with Cross Experts Covariance Loss for Multi-Domain Recommendation. CoRR Zhutian Lin, Junwei Pan, Haibin Yu, Xi Xiao, Ximei Wang, Zhixiang Feng, Shifeng Wen, Shudong Huang, Lei Xiao, Jie Jiang
2024	J	`jnl`	DrugLLM: Open Large Language Model for Few-shot Molecule Generation. CoRR Xianggen Liu, Yan Guo, Haoran Li, Jin Liu, Shudong Huang, Bowen Ke, Jiancheng Lv
2024	J	`jnl`	Euclidean Distance is Not Your Swiss Army Knife. IEEE Trans. Knowl. Data Eng. Yuze Tan, Yixi Liu, Hongjie Wu, Shudong Huang, Zenglin Xu, Ivor W. Tsang, Jiancheng Lv
2024	A	`conf`	Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation. WSDM Xiaolin Lin, Jinwei Luo, Junwei Pan, Weike Pan, Zhong Ming, Xun Liu, Shudong Huang, Jie Jiang
2024	A*	`conf`	Multi-View Clustering by Inter-cluster Connectivity Guided Reward. ICML Hao Dai, Yang Liu, Peng Su, Hecheng Cai, Shudong Huang, Jiancheng Lv
2024	J	`jnl`	Multi-view Granular-ball Contrastive Clustering. CoRR Peng Su, Shudong Huang, Weihong Ma, Deng Xiong, Jiancheng Lv
2024	—	`conf`	Reduced RC Time Constant High Voltage Tolerant Supply Clamp for ESD Protection in 16nm FinFET Technology. IRPS Shudong Huang, Srivatsan Parthasarathy, Yuanzhong Paul Zhou, Jean-Jacques Hajjar, Elyse Rosenbaum
2024	A*	`conf`	Robust Contrastive Multi-view Kernel Clustering. IJCAI Peng Su, Yixi Liu, Shujian Li, Shudong Huang, Jiancheng Lv
2024	J	`jnl`	Self-Weighted Contrastive Fusion for Deep Multi-View Clustering. IEEE Trans. Multim. Song Wu, Yan Zheng, Yazhou Ren, Jing He, Xiaorong Pu, Shudong Huang, Zhifeng Hao, Lifang He
2024	J	`jnl`	Towards Unifying Feature Interaction Models for Click-Through Rate Prediction. CoRR Yu Kang, Junwei Pan, Jipeng Jin, Shudong Huang, Xiaofeng Gao, Lei Xiao
2024	A*	`conf`	Understanding the Ranking Loss for Recommendation with Sparse User Feedback. KDD Zhutian Lin, Junwei Pan, Shangyu Zhang, Ximei Wang, Xi Xiao, Shudong Huang, Lei Xiao, Jie Jiang
2024	J	`jnl`	Understanding the Ranking Loss for Recommendation with Sparse User Feedback. CoRR Zhutian Lin, Junwei Pan, Shangyu Zhang, Ximei Wang, Xi Xiao, Shudong Huang, Lei Xiao, Jie Jiang
2024	A*	`conf`	With a Little Help from Language: Semantic Enhanced Visual Prototype Framework for Few-Shot Learning. IJCAI Hecheng Cai, Yang Liu, Shudong Huang, Jiancheng Lv
2023	J	`jnl`	Analysis and Applications of Deep Learning with Finite Samples in Full Life-Cycle Intelligence of Nuclear Power Generation. CoRR Chenwei Tang, Wenqiang Zhou, Dong Wang, Caiyang Yu, Zhenan He, Jizhe Zhou, Shudong Huang, Yi Gao, Jianming Chen, Wentao Feng, Jiancheng Lv
2023	J	`jnl`	Evaluating the impact of test-trace-isolate for COVID-19 management and alternative strategies. PLoS Comput. Biol. Kun Zhang, Zhichu Xia, Shudong Huang, Gui-Quan Sun, Jiancheng Lv, Marco Ajelli, Keisuke Ejima, Quan-Hui Liu
2023	J	`jnl`	Latent Representation Guided Multi-View Clustering. IEEE Trans. Knowl. Data Eng. Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv
2023	A*	`conf`	Lifelong Multi-view Spectral Clustering. IJCAI Hecheng Cai, Yuze Tan, Shudong Huang, Jiancheng Lv
2023	A*	`conf`	Metric Multi-View Graph Clustering. AAAI Yuze Tan, Yixi Liu, Hongjie Wu, Jiancheng Lv, Shudong Huang
2023	J	`jnl`	Multi-View Subspace Clustering by Joint Measuring of Consistency and Diversity. IEEE Trans. Knowl. Data Eng. Shudong Huang, Yixi Liu, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv
2023	A*	`conf`	Multimodal Physiological Signals Fusion for Online Emotion Recognition. ACM Multimedia Tongjie Pan, Yalan Ye, Hecheng Cai, Shudong Huang, Yang Yang, Guoqing Wang
2023	—	`conf`	Optimization of SCR for High-Speed Digital and RF Applications in 45-nm SOI CMOS Technology. IRPS Shudong Huang, Srivatsan Parthasarathy, Yuanzhong Paul Zhou, Jean-Jacques Hajjar, Elyse Rosenbaum
2023	A*	`conf`	PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning. NeurIPS Mingjia Shi, Yuhao Zhou, Kai Wang, Huaizheng Zhang, Shudong Huang, Qing Ye, Jiancheng Lv
2023	J	`jnl`	PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning. CoRR Mingjia Shi, Yuhao Zhou, Kai Wang, Huaizheng Zhang, Shudong Huang, Qing Ye, Jiangcheng Lv
2023	A*	`conf`	Preserving Local and Global Information: An Effective Metric-based Subspace Clustering. ACM Multimedia Yixi Liu, Yuze Tan, Hongjie Wu, Shudong Huang, Yazhou Ren, Jiancheng Lv
2023	J	`jnl`	Pure graph-guided multi-view subspace clustering. Pattern Recognit. Hongjie Wu, Shudong Huang, Chenwei Tang, Yancheng Zhang, Jiancheng Lv
2023	A*	`conf`	Sample-level Multi-view Graph Clustering. CVPR Yuze Tan, Yixi Liu, Shudong Huang, Wentao Feng, Jiancheng Lv
2023	A*	`conf`	Self-Supervised Graph Attention Networks for Deep Weighted Multi-View Clustering. AAAI Zongmo Huang, Yazhou Ren, Xiaorong Pu, Shudong Huang, Zenglin Xu, Lifang He
2023	J	`jnl`	Smooth representation learning from multi-view data. Inf. Fusion Shudong Huang, Yixi Liu, Hecheng Cai, Yuze Tan, Chenwei Tang, Jiancheng Lv
2022	—	`conf`	A High Voltage Tolerant Supply Clamp for ESD Protection in a 45-nm SOI Technology. IRPS Shudong Huang, Srivatsan Parthasarathy, Yuanzhong Paul Zhou, Jean-Jacques Hajjar, Elyse Rosenbaum
2022	J	`jnl`	Efficient federated multi-view learning. Pattern Recognit. Shudong Huang, Wei Shi, Zenglin Xu, Ivor W. Tsang, Jiancheng Lv
2022	A*	`conf`	Learning Smooth Representation for Multi-view Subspace Clustering. ACM Multimedia Shudong Huang, Yixi Liu, Yazhou Ren, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv
2022	J	`jnl`	Measuring Diversity in Graph Learning: A Unified Framework for Structured Multi-View Clustering. IEEE Trans. Knowl. Data Eng. Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv
2022	A*	`conf`	Multi-View Clustering on Topological Manifold. AAAI Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv, Quanhui Liu
2022	A*	`conf`	Multi-view Subspace Clustering on Topological Manifold. NeurIPS Shudong Huang, Hongjie Wu, Yazhou Ren, Ivor W. Tsang, Zenglin Xu, Wentao Feng, Jiancheng Lv
2022	J	`jnl`	Multiple partitions alignment via spectral rotation. Mach. Learn. Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv
2022	J	`jnl`	Partial Differential Equations Meet Deep Neural Networks: A Survey. CoRR Shudong Huang, Wentao Feng, Chenwei Tang, Jiancheng Lv
2022	A*	`conf`	Self-Paced Label Distribution Learning for In-The-Wild Facial Expression Recognition. ACM Multimedia Jianjian Shao, Zhenqian Wu, Yuanyan Luo, Shudong Huang, Xiaorong Pu, Yazhou Ren
2022	J	`jnl`	Spaks: Self-paced multiple kernel subspace clustering with feature smoothing regularization. Knowl. Based Syst. Qian Zhang, Zhao Kang, Zenglin Xu, Shudong Huang, Hongguang Fu
2022	J	`jnl`	Variational Graph Generator for Multi-View Graph Clustering. CoRR Jianpeng Chen, Yawen Ling, Jie Xu, Yazhou Ren, Shudong Huang, Xiaorong Pu, Lifang He
2021	A*	`conf`	CDD: Multi-view Subspace Clustering via Cross-view Diversity Detection. ACM Multimedia Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv, Quanhui Liu
2021	J	`jnl`	Co-Adjustment Learning for Co-Clustering. Cogn. Comput. Ji Zhang, Hongjun Wang, Shudong Huang, Tianrun Li, Peng Jin, Ping Deng, Qigang Zhao
2021	—	`conf`	Compact Model of ESD Diode Suitable for Subnanosecond Switching Transients. IRPS Shudong Huang, Elyse Rosenbaum
2021	J	`jnl`	Robust deep k-means: An effective and simple method for data clustering. Pattern Recognit. Shudong Huang, Zhao Kang, Zenglin Xu, Quanhui Liu
2020	J	`jnl`	Auto-weighted multi-view clustering via deep matrix decomposition. Pattern Recognit. Shudong Huang, Zhao Kang, Zenglin Xu
2020	J	`jnl`	Auto-weighted multi-view co-clustering with bipartite graphs. Inf. Sci. Shudong Huang, Zenglin Xu, Ivor W. Tsang, Zhao Kang
2020	—	`conf`	Deep K-Means: A Simple and Effective Method for Data Clustering. NCAA Shudong Huang, Zhao Kang, Zenglin Xu
2020	J	`jnl`	Multi-graph fusion for multi-view spectral clustering. Knowl. Based Syst. Zhao Kang, Guoxin Shi, Shudong Huang, Wenyu Chen, Xiaorong Pu, Joey Tianyi Zhou, Zenglin Xu
2020	J	`jnl`	Regularized nonnegative matrix factorization with adaptive local structure learning. Neurocomputing Shudong Huang, Zenglin Xu, Zhao Kang, Yazhou Ren
2020	J	`jnl`	Self-paced and auto-weighted multi-view clustering. Neurocomputing Yazhou Ren, Shudong Huang, Peng Zhao, Minghao Han, Zenglin Xu
2020	—	`conf`	Sub-nanosecond Reverse Recovery Measurement for ESD Devices. IRPS Alex Ayling, Shudong Huang, Elyse Rosenbaum
2020	—	`conf`	TREC 2020 News Track Overview. TREC Ian Soboroff, Shudong Huang, Donna Harman
2019	J	`jnl`	Auto-weighted multi-view clustering via kernelized graph learning. Pattern Recognit. Shudong Huang, Zhao Kang, Ivor W. Tsang, Zenglin Xu
2019	J	`jnl`	Improved Gaussian-Bernoulli restricted Boltzmann machine for learning discriminative representations. Knowl. Based Syst. Ji Zhang, Hongjun Wang, Jielei Chu, Shudong Huang, Tianrui Li, Qigang Zhao
2019	J	`jnl`	Multi-graph Fusion for Multi-view Spectral Clustering. CoRR Zhao Kang, Guoxin Shi, Shudong Huang, Wenyu Chen, Xiaorong Pu, Joey Tianyi Zhou, Zenglin Xu
2019	A*	`conf`	Multiple Partitions Aligned Clustering. IJCAI Zhao Kang, Zipeng Guo, Shudong Huang, Siying Wang, Wenyu Chen, Yuanzhang Su, Zenglin Xu
2019	J	`jnl`	Multiple Partitions Aligned Clustering. CoRR Zhao Kang, Zipeng Guo, Shudong Huang, Siying Wang, Wenyu Chen, Yuanzhang Su, Zenglin Xu
2019	J	`jnl`	Self-paced and soft-weighted nonnegative matrix factorization for data representation. Knowl. Based Syst. Shudong Huang, Peng Zhao, Yazhou Ren, Tianrui Li, Zenglin Xu
2018	J	`jnl`	Adaptive local structure learning for document co-clustering. Knowl. Based Syst. Shudong Huang, Zenglin Xu, Jiancheng Lv
2018	J	`jnl`	Overview of the NIST 2016 LoReHLT evaluation. Mach. Transl. Audrey Tong, Lukas L. Diduch, Jonathan G. Fiscus, Yasaman Haghpanah, Shudong Huang, David Joy, Kay Peterson, Ian Soboroff
2018	J	`jnl`	Robust graph regularized nonnegative matrix factorization for clustering. Data Min. Knowl. Discov. Shudong Huang, Hongjun Wang, Tao Li, Tianrui Li, Zenglin Xu
2018	J	`jnl`	Robust multi-view data clustering with multi-view capped-norm K-means. Neurocomputing Shudong Huang, Yazhou Ren, Zenglin Xu
2018	J	`jnl`	Self-weighted multi-view clustering with soft capped norm. Knowl. Based Syst. Shudong Huang, Zhao Kang, Zenglin Xu
2018	—	`conf`	TREC 2018 News Track Overview. TREC Ian Soboroff, Shudong Huang, Donna Harman
2018	—	`conf`	TREC 2018 News Track. NewsIR@ECIR Shudong Huang, Ian Soboroff, Donna Harman
2017	B	`conf`	Nonnegative matrix factorization with adaptive neighbors. IJCNN Shudong Huang, Zenglin Xu, Fei Wang
2016	J	`jnl`	Constraint Co-Projections for Semi-Supervised Co-Clustering. IEEE Trans. Cybern. Shudong Huang, Hongjun Wang, Tao Li, Yan Yang, Tianrui Li
2015	J	`jnl`	Spectral co-clustering ensemble. Knowl. Based Syst. Shudong Huang, Hongjun Wang, Dingcheng Li, Yan Yang, Tianrui Li
2006	—	`conf`	HKUST/MTS: A Very Large Scale Mandarin Telephone Speech Corpus. ISCSLP (Selected Papers) Yi Liu, Pascale Fung, Yongsheng Yang, Christopher Cieri, Shudong Huang, David Graff
2006	B	`conf`	The Mixer and Transcript Reading Corpora: Resources for Multilingual, Crosschannel Speaker Recognition Research. LREC 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
2004	—	`conf`	Development of a Chinese telephony conversational corpus for speech processing [speech recognition applications]. ISCSLP Yi Liu, Pascale Fung, Shudong Huang, Chris Cieri, Lu-Feng Zhai, Benfeng Chen