Chang-Dong Wang

352 papers A* 38A 3B 14C 5Journal 234Unranked 58
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Structure-Aware Fair Recommendation Approach Based on Counterfactual Dynamic Hypergraphs.
ACM Trans. Intell. Syst. Technol.
Shanshan Wan, Zebin Fu, Qiyi Zhou, Chuyuan Wei, Chang-Dong Wang
2026 J jnl
A novel knowledge distillation method for graph neural networks with gradient mapping and fusion.
Inf. Fusion
Kang Liu, Shunzhi Yang, Chang-Dong Wang, Yunwen Chen, Zhenhua Huang
2026 J jnl
A unified framework for sequential recommendation with gated differential amplified attention and repetition-exploration intent modeling.
Neural Networks
Jinzhao Su, Shiyu Liu, Shunzhi Yang, Chang-Dong Wang, Shengli Sun, Zhenhua Huang
2026 J jnl
AscendKernelGen: A Systematic Study of LLM-Based Kernel Generation for Neural Processing Units.
CoRR
Xinzi Cao, Jianyang Zhai, Pengfei Li, Zhiheng Hu, Cen Yan, Bingxu Mu, Guanghuan Fang, Bin She, Jiayu Li, Yihan Su, Dongyang Tao, Xiansong Huang, Fan Xu, Feidiao Yang, Yao Lu, Chang-Dong Wang, Yutong Lu, Weicheng Xue, Bin Zhou, Yonghong Tian
2026 J jnl
Autoencoder-based contrastive learning for next basket recommendation.
Neural Networks
Ling Huang, Zhe-Yuan Li, Xiao-Dong Huang, Yuefang Gao, Chang-Dong Wang, Philip S. Yu
2026 J jnl
Heterogeneous Patent Graph Prompt Learning.
Eng. Appl. Artif. Intell.
Xi Zeng, Pei-Yuan Lai, Chang-Dong Wang, Qing-Yun Dai
2026 J jnl
ID-Guided Multimodal experts with contrastive diffusion for sequential recommendation.
Neural Networks
Yi-Hong Lu, Wu-Dong Xi, Xing-Xing Xing, Wei Wan, Chang-Dong Wang
2026 J jnl
Knowledge-Aware Clustering.
IEEE Trans. Syst. Man Cybern. Syst.
Man-Sheng Chen, Li-An Ren, Wu-Dong Xi, Chang-Dong Wang, Philip S. Yu
2026 J jnl
Large interest network for click-through rate prediction.
Neural Networks
Nan Li, Hui-Yu Zhou, Chang-Dong Wang, Pei-Yuan Lai
2026 J jnl
MLSA4Rec: Mamba Combined With Low-Rank Decomposed Self-Attention for Sequential Recommendation.
IEEE Trans. Comput. Soc. Syst.
Jinzhao Su, Zhenhua Huang, Chang-Dong Wang, Yunwen Chen
2026 J jnl
Metapath-based feature aggregated heterogeneous graph neural network for adverse drug reactions prediction.
Neurocomputing
Jinghao Fang, Wei Wei, Bowen Shi, Chang-Dong Wang, Yongming Cai, Jin Yang
2026 J jnl
Multi-source knowledge enhancement for multimodal semantic representation.
Int. J. Mach. Learn. Cybern.
Pei-Yuan Lai, Qing-Yun Dai, De-Zhang Liao, Huan-Tao Cai, Man-Sheng Chen, Chang-Dong Wang
2026 J jnl
Multiple interpretation ensemble distillation for graph neural networks.
Neural Networks
Kang Liu, Yuqi Zhang, Shunzhi Yang, Chang-Dong Wang, Yunwen Chen, Xiaowen Ma, Zhenhua Huang
2026 J jnl
One-step bipartite graph cut: A normalized formulation and its application to scalable subspace clustering.
Neural Networks
Si-Guo Fang, Dong Huang, Chang-Dong Wang, Jian-Huang Lai
2026 J jnl
Price-aware graph-based recommendation using latent price vectors.
Int. J. Mach. Learn. Cybern.
Ling Huang, Yan-Huang Chen, Zhenyu Yang, Yuefang Gao, Zhen-Wei Huang, Chang-Dong Wang
2026 J jnl
ProGraph: Graph Prompt Tuning with Knowledge-aware Contrastive Learning for Recommendation.
ACM Trans. Multim. Comput. Commun. Appl.
Chuyuan Wei, Anning He, Shengda Zhuo, Chang-Dong Wang, Shuqiang Huang
2026 J jnl
REC-GCN: Robust ensemble clustering with graph convolutional networks.
Pattern Recognit.
Dong Huang, Qiang Lai, Haiyan Wang, Yuankun Xu, Chang-Bin Guan, Chang-Dong Wang
2026 J jnl
Structure-preserving contrastive graph clustering with dual-channel label alignment.
Neural Networks
Guang-Yu Zhang, Yan-Di Huang, Dong Huang, Chang-Dong Wang, Yang Liu, Enbo Huang
2026 J jnl
Super-Item Interaction With Contrastive Learning for Structure-Level Cross-Domain Recommendation.
IEEE Trans. Comput. Soc. Syst.
Chuyuan Wei, Yuan-Peng Zhai, Shengda Zhuo, Chang-Dong Wang, Shu-Qiang Huang
2026 J jnl
Vision transformer for contrastive clustering.
Knowl. Based Syst.
Hua-Bao Ling, Bowen Zhu, Dong Huang, Ding-Hua Chen, Chang-Dong Wang, Jian-Huang Lai
2025 J jnl
"Pre-Train, Prompt" Framework to Boost Graph Neural Networks Performance in EEG Analysis.
IEEE J. Biomed. Health Informatics
Canming Cui, Hongyi Chen, Man-Sheng Chen, Jiahong Li, Zhaopeng Tong, Chanmei Fang, Chang-Dong Wang, Yuexin Cai
2025 J jnl
A complementary dual model for weakly supervised salient object detection.
Pattern Recognit.
Liyuan Chen, Dawei Zhang, Xiao Wang, Chang-Dong Wang, Shan Jin, Zhonglong Zheng
2025 J jnl
A pilot study for virus-induced neural network remodeling in sudden hearing loss and tinnitus: A graph attention network approach.
Comput. Biol. Medicine
Chanmei Fang, Canming Cui, Chang-Dong Wang, Jiahong Li, Weiwei Cai, Hongyi Chen, Man-Sheng Chen, Jae-Jin Song, Yu-Chen Chen, Yuexin Cai, Maojin Liang
2025 A* conf
AdaGen: Adaptive Domain-Specific Classification via Zero-Shot Dataset Generation.
ICDM
Zhan-Hao Xu, Fei-Yao Liang, Hui-Yu Zhou, Chang-Dong Wang
2025 J jnl
Angular Reconstructive Discrete Embedding With Fusion Similarity for Multi-View Clustering.
IEEE Trans. Knowl. Data Eng.
Jintang Bian, Xiaohua Xie, Chang-Dong Wang, Lingxiao Yang, Jian-Huang Lai, Feiping Nie
2025 A* conf
CL
ICDM
Yu-Xuan Zhou, Ru-Bin Li, Zhe Xuanyuan, Pei-Yuan Lai, Chang-Dong Wang
2025 J jnl
Contrastive Ensemble Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Man-Sheng Chen, Jia-Qi Lin, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
2025 J jnl
Contrastive Multiview Attribute Graph Clustering With Adaptive Encoders.
IEEE Trans. Neural Networks Learn. Syst.
Man-Sheng Chen, Xi-Ran Zhu, Jia-Qi Lin, Chang-Dong Wang
2025 J jnl
Cross-domain recommendation via knowledge distillation.
Knowl. Based Syst.
Xiuze Li, Zhenhua Huang, Zhengyang Wu, Chang-Dong Wang, Yunwen Chen
2025 J jnl
Dual Information Enhanced Multiview Attributed Graph Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Jia-Qi Lin, Man-Sheng Chen, Xi-Ran Zhu, Chang-Dong Wang, Haizhang Zhang
2025 B conf
Dual-Level Facilitated Multi-View Contrastive Graph Clustering.
ICPADS
Guangyu Zhang, Zi-Ying Li, Hai-yan Wang, Dong Huang, Chang-Dong Wang, Yang Liu
2025 J jnl
Dual-triangular Recommender System.
Data Sci. Eng.
Pei-Yuan Lai, Qing-Yun Dai, Chang-Dong Wang
2025 J jnl
EdgeGFL: Rethinking Edge Information in Graph Feature Preference Learning.
CoRR
Shengda Zhuo, Jiwang Fang, Hongguang Lin, Yin Tang, Min Chen, Chang-Dong Wang, Shuqiang Huang
2025 J jnl
Enhancing partition distinction: A contrastive policy to recommendation unlearning.
Neural Networks
Lin Li, Shengda Zhuo, Hongguang Lin, Jinchun He, Wangjie Qiu, Qinnan Zhang, Chang-Dong Wang, Shuqiang Huang
2025 A* conf
Erase Then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning.
AAAI
Zhe-Rui Yang, Jindong Han, Chang-Dong Wang, Hao Liu
2025 J jnl
Federated Graph Learning via Constructing and Sharing Feature Spaces for Cross-Domain IoT.
IEEE Internet Things J.
JiaLe Chen, Shengda Zhuo, Jinchun He, Wangjie Qiu, Qinnan Zhang, Zehui Xiong, Zhiming Zheng, Yin Tang, Min Chen, Chang-Dong Wang, Shuqiang Huang
2025 J jnl
Fine-Grained Learning Behavior-Oriented Knowledge Distillation for Graph Neural Networks.
IEEE Trans. Neural Networks Learn. Syst.
Kang Liu, Zhenhua Huang, Chang-Dong Wang, Beibei Gao, Yunwen Chen
2025 J jnl
GLAC-GCN: Global and Local Topology-Aware Contrastive Graph Clustering Network.
IEEE Trans. Artif. Intell.
Yuankun Xu, Dong Huang, Chang-Dong Wang, Jian-Huang Lai
2025 J jnl
Graph Prompt Clustering.
IEEE Trans. Pattern Anal. Mach. Intell.
Man-Sheng Chen, Pei-Yuan Lai, De-Zhang Liao, Chang-Dong Wang, Jian-Huang Lai
2025 — conf
GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning.
KDD (1)
Zhe-Rui Yang, Jindong Han, Chang-Dong Wang, Hao Liu
2025 J jnl
Gray Learning From Non-IID Data With Out-of-Distribution Samples.
IEEE Trans. Neural Networks Learn. Syst.
Zhi-Lin Zhao, Longbing Cao, Chang-Dong Wang
2025 J jnl
Heterogeneous Graph Prompt Learning via Adaptive Weight Pruning.
CoRR
Chuyuan Wei, Shun-Yao Liu, Shengda Zhuo, Chang-Dong Wang, Shu-Qiang Huang, Mohsen Guizani
2025 J jnl
Homophily Induced Contrastive Attributed Graph Clustering.
IEEE Trans. Circuits Syst. Video Technol.
Man-Sheng Chen, Pei-Yuan Lai, De-Zhang Liao, Chang-Dong Wang, Jian-Huang Lai
2025 — conf
Hypergraph Enhanced Knowledge Tree Prompt Learning for Next-Basket Recommendation.
DASFAA (5)
Zi-Feng Mai, Jianyang Zhai, Naiqing Li, Chang-Dong Wang, Zhongjie Zeng, Ya Li, Jiaquan Chen
2025 J jnl
Interaction-knowledge semantic alignment for recommendation.
Neural Networks
Zhenyu He, Jia-Qi Lin, Chang-Dong Wang, Mohsen Guizani
2025 J jnl
Interpretable Staging Prediction of Liver Cancer Based on Joint-Knowledge Network.
IEEE J. Biomed. Health Informatics
Xuecong Zheng, Ya Li, Zhiqi Wu, Yiyang Tang, Pei-Yuan Lai, Man-Sheng Chen, Hongyi Chen, Chang-Dong Wang, Jiaping Li, Qingyun Dai
2025 J jnl
Knowledge Graph-Based Patent Clustering.
IEEE Trans. Knowl. Data Eng.
Pei-Yuan Lai, Man-Sheng Chen, Qing-Yun Dai, Chang-Dong Wang, Min Chen, Mohsen Guizani
2025 J jnl
Knowledge-Aware Graph Prompt Tuning for Cross-Domain Recommendation.
IEEE Trans. Comput. Soc. Syst.
Xiao-Dong Huang, Ling Huang, Yuefang Gao, Zhe-Yuan Li, Pei-Yuan Lai, Chang-Dong Wang, Philip S. Yu
2025 J jnl
Knowledge-Aware Intent-Guided Contrastive Learning for Next-basket Recommendation.
IEEE Trans. Emerg. Top. Comput. Intell.
Chuyuan Wei, Baojie Yuan, Chuanhao Hu, Jinzhe Li, Chang-Dong Wang, Mohsen Guizani
2025 J jnl
Knowledge-Aware Synergistic Discovery of Drug Combinations: A Large Language Model Perspective.
IEEE Trans. Comput. Biol. Bioinform.
Pei-Yuan Lai, Man-Sheng Chen, De-Zhang Liao, Chang-Dong Wang, Min Chen, Lin Mei
2025 J jnl
Knowledge-Reinforced Cross-Domain Recommendation.
IEEE Trans. Neural Networks Learn. Syst.
Ling Huang, Dong Huang, Han Zou, Yuefang Gao, Chang-Dong Wang, Philip S. Yu
2025 J jnl
LKAN: LLM-Based Knowledge-Aware Attention Network for Clinical Staging of Liver Cancer.
IEEE J. Biomed. Health Informatics
Ya Li, Xuecong Zheng, Jiaping Li, Qingyun Dai, Chang-Dong Wang, Min Chen
2025 J jnl
Large-Scale Tensorized Multi-View Kernel Subspace Clustering.
ACM Trans. Intell. Syst. Technol.
Guang-Yu Zhang, Dong Huang, Chang-Dong Wang
2025 B conf
Learning Transition Patterns by Large Language Models for Sequential Recommendation.
COLING
Jianyang Zhai, Zi-Feng Mai, Dongyi Zheng, Chang-Dong Wang, Xiawu Zheng, Hui Li, Feidiao Yang, Yonghong Tian
2025 J jnl
MASER: Multi-Order Attention and Semantic-Enhanced Representation Model for Complex Text Recommendation.
IEEE Trans. Emerg. Top. Comput. Intell.
Pei-Yuan Lai, Qing-Yun Dai, De-Zhang Liao, Zhe-Rui Yang, Xiao-Dong Liao, Chang-Dong Wang, Min Chen
2025 J jnl
Motif-aware curriculum learning for node classification.
Neural Networks
Xiaosha Cai, Man-Sheng Chen, Chang-Dong Wang, Haizhang Zhang
2025 B conf
Multi-View Clustering via Flexible Dual-Level Fusion.
ICPADS
Guangyu Zhang, Jiaming Deng, Zihao Wen, Dong Huang, Chang-Dong Wang
2025 — conf
Multi-scale Multi-order Attributed Graph Clustering.
ICIC (9)
Qi Zhang, Guangyu Zhang, Dong Huang, Chang-Dong Wang, Haiyan Wang
2025 J jnl
Multilevel Contrastive Multiview Clustering With Dual Self-Supervised Learning.
IEEE Trans. Neural Networks Learn. Syst.
Jintang Bian, Yixiang Lin, Xiaohua Xie, Chang-Dong Wang, Lingxiao Yang, Jian-Huang Lai, Feiping Nie
2025 A* conf
Multimodal Quantitative Language for Generative Recommendation.
ICLR
Jianyang Zhai, Zi-Feng Mai, Chang-Dong Wang, Feidiao Yang, Xiawu Zheng, Hui Li, Yonghong Tian
2025 J jnl
Multimodal Quantitative Language for Generative Recommendation.
CoRR
Jianyang Zhai, Zi-Feng Mai, Chang-Dong Wang, Feidiao Yang, Xiawu Zheng, Hui Li, Yonghong Tian
2025 A* conf
Online Feature Selection with Varying Feature Spaces (Extended Abstract).
ICDE
Shengda Zhuo, Jin-Jie Qiu, Chang-Dong Wang, Shuqiang Huang
2025 J jnl
Online Learning for Noisy Labeled Streams.
ACM Trans. Knowl. Discov. Data
Jin-Jie Qiu, Shengda Zhuo, Philip S. Yu, Chang-Dong Wang, Shuqiang Huang
2025 J jnl
PLSRP: prompt learning for send-receive path prediction.
Int. J. Mach. Learn. Cybern.
Qi Wei, Yi-Hong Lu, Dan Du, Huan-Tao Cai, Pei-Yuan Lai, Chang-Dong Wang
2025 J jnl
Pyramid contrastive learning for clustering.
Neural Networks
Zi-Feng Zhou, Dong Huang, Chang-Dong Wang
2025 J jnl
Scalable tri-factorization guided multi-view subspace clustering.
Knowl. Based Syst.
Guang-Yu Zhang, Chang-Bin Guan, Dong Huang, Zihao Wen, Chang-Dong Wang, Lei Xiao
2025 J jnl
Simple One-Step Multi-View Clustering With Fast Similarity and Cluster Structure Learning.
IEEE Signal Process. Lett.
Xianxian Xia, Dong Huang, Chen-Min Yang, Chaobo He, Chang-Dong Wang
2025 J jnl
Smoothness-Induced Efficient Incomplete Multi-View Clustering.
IEEE Trans. Knowl. Data Eng.
Tianchuan Yang, Haiqiang Chen, Haoyan Yang, Man-Sheng Chen, Xiangcheng Li, Youming Sun, Chang-Dong Wang
2025 J jnl
Towards multi-fusion graph neural network for single-cell RNA sequence clustering.
Neurocomputing
Chen-Min Yang, Dong Huang, Yuankun Xu, Xiuting He, Guang-Yu Zhang, Chang-Dong Wang
2025 J jnl
Triplets-based large-scale multi-view spectral clustering.
Inf. Fusion
Tianchuan Yang, Chang-Dong Wang, Jipeng Guo, Xiangcheng Li, Man-Sheng Chen, Shuping Dang, Haiqiang Chen
2025 J jnl
WFSL: Warmup-Based Federated Sequential Learning.
IEEE Internet Things J.
Mohamad Arafeh, Ahmad Hammoud, Mohsen Guizani, Azzam Mourad, Hadi Otrok, Hakima Ould-Slimane, Zbigniew Dziong, Chang-Dong Wang, Di Wu
2024 J jnl
A Tensor Approach for Uncoupled Multiview Clustering.
IEEE Trans. Cybern.
Jia-Qi Lin, Man-Sheng Chen, Chang-Dong Wang, Haizhang Zhang
2024 J jnl
An Unsupervised Domain Adaption Method for Fault Diagnosis via Multichannel Variational Hypergraph Autoencoder.
IEEE Trans. Instrum. Meas.
Xiangmin Luo, Ziwei Chen, Da Huang, Fangyuan Lei, Chang-Dong Wang, Iman Yi Liao
2024 J jnl
BiMuF: a bi-directional recommender system with multi-semantic filter for online recruitment.
Knowl. Inf. Syst.
Pei-Yuan Lai, Zhe-Rui Yang, Qing-Yun Dai, De-Zhang Liao, Chang-Dong Wang
2024 J jnl
Broad Recommender System: An Efficient Nonlinear Collaborative Filtering Approach.
IEEE Trans. Emerg. Top. Comput. Intell.
Ling Huang, Can-Rong Guan, Zhen-Wei Huang, Yuefang Gao, Chang-Dong Wang, C. L. Philip Chen
2024 J jnl
Can Encrypted Images Still Train Neural Networks? Investigating Image Information and Random Vortex Transformation.
CoRR
Xiao-Kai Cao, Wenjin Mo, Chang-Dong Wang, Jian-Huang Lai, Qiong Huang
2024 J jnl
Collaborative Meta-Path Modeling for Explainable Recommendation.
IEEE Trans. Comput. Soc. Syst.
Zhe-Rui Yang, Zhenyu He, Chang-Dong Wang, Jian-Huang Lai, Zhihong Tian
2024 J jnl
Community Enhanced Knowledge Graph for Recommendation.
IEEE Trans. Comput. Soc. Syst.
Zhenyu He, Chang-Dong Wang, Jinfeng Wang, Jian-Huang Lai, Yong Tang
2024 J jnl
Concept Factorization Based Multiview Clustering for Large-Scale Data.
IEEE Trans. Knowl. Data Eng.
Man-Sheng Chen, Chang-Dong Wang, Dong Huang, Jian-Huang Lai, Philip S. Yu
2024 B conf
Confidence-oriented Contrastive Graph Clustering.
IJCNN
Yan-Di Huang, Guang-Yu Zhang, Dong Huang, Chang-Dong Wang, Yang Liu, Enbo Huang
2024 J jnl
Connectivity-preserving rendezvous in discrete-time multi-agent systems via relative neighborhood proximity graph.
Trans. Inst. Meas. Control
Guangqiang Xie, Biwei Zhong, Haoran Xu, Yang Li, Xianbiao Hu, Chang-Dong Wang
2024 J jnl
Consensus Seeking in Large-Scale Multiagent Systems With Hierarchical Switching-Backbone Topology.
IEEE Trans. Neural Networks Learn. Syst.
Guangqiang Xie, Haoran Xu, Yang Li, Chang-Dong Wang, Biwei Zhong, Xianbiao Hu
2024 A* conf
Contrastive Learning for Adapting Language Model to Sequential Recommendation.
ICDM
Fei-Yao Liang, Wu-Dong Xi, Xing-Xing Xing, Wei Wan, Chang-Dong Wang, Min Chen, Mohsen Guizani
2024 A* conf
Cross-Store Next-Basket Recommendation.
ICDM
Liang-Chen Ma, Ya Li, Zi-Feng Mai, Fei-Yao Liang, Chang-Dong Wang, Min Chen, Mohsen Guizani
2024 J jnl
Deep Clustering With Hybrid-Grained Contrastive and Discriminative Learning.
IEEE Trans. Circuits Syst. Video Technol.
Dong Huang, Xiaozhi Deng, Ding-Hua Chen, Zihao Wen, Weijun Sun, Chang-Dong Wang, Jian-Huang Lai
2024 J jnl
Deep image clustering with contrastive learning and multi-scale graph convolutional networks.
Pattern Recognit.
Yuankun Xu, Dong Huang, Chang-Dong Wang, Jian-Huang Lai
2024 J jnl
DeepCluE: Enhanced Deep Clustering via Multi-Layer Ensembles in Neural Networks.
IEEE Trans. Emerg. Top. Comput. Intell.
Dong Huang, Ding-Hua Chen, Xiangji Chen, Chang-Dong Wang, Jian-Huang Lai
2024 J jnl
Dynamic Secure Multi Broad Network for Privacy Preserving of Streaming Data.
IEEE Trans. Emerg. Top. Comput. Intell.
Xiao-Kai Cao, Man-Sheng Chen, Chang-Dong Wang, Jian-Huang Lai, Qiong Huang, C. L. Philip Chen
2024 J jnl
ER-GET: Emotion Recognition Based on Global ECG Trajectory.
IEEE J. Biomed. Health Informatics
Ya Li, Runxi Tan, Tianxin Lin, Qing Liu, Chang-Dong Wang, Min Chen
2024 J jnl
Efficient Multi-View Clustering via Unified and Discrete Bipartite Graph Learning.
IEEE Trans. Neural Networks Learn. Syst.
Si-Guo Fang, Dong Huang, Xiaosha Cai, Chang-Dong Wang, Chaobo He, Yong Tang
2024 J jnl
Erase then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning.
CoRR
Zhe-Rui Yang, Jindong Han, Chang-Dong Wang, Hao Liu
2024 — conf
GPSR: Graph Prompt for Session-Based Recommendation.
DASFAA (6)
Cheng Li, Pei-Yuan Lai, Yi-Hong Lu, De-Zhang Liao, Xiao-Dong Huang, Chang-Dong Wang
2024 J jnl
GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning.
CoRR
Zhe-Rui Yang, Jindong Han, Chang-Dong Wang, Hao Liu
2024 J jnl
Hierarchical Alignment With Polar Contrastive Learning for Next-Basket Recommendation.
IEEE Trans. Knowl. Data Eng.
Ting-Ting Su, Chang-Dong Wang, Wudong Xi, Jian-Huang Lai, Philip S. Yu
2024 A* conf
HomoMGC: Homophily-Enhanced Adaptive Graph Refinement for Multi-View Graph Clustering.
ICDM
Man-Sheng Chen, Xiaosha Cai, Chang-Dong Wang, Dong Huang, Min Chen, Mohsen Guizani
2024 J jnl
Incomplete Data Meets Uncoupled Case: A Challenging Task of Multiview Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Jia-Qi Lin, Xiang-Long Li, Man-Sheng Chen, Chang-Dong Wang, Haizhang Zhang
2024 J jnl
Joint Multi-View Unsupervised Feature Selection and Graph Learning.
IEEE Trans. Emerg. Top. Comput. Intell.
Si-Guo Fang, Dong Huang, Chang-Dong Wang, Yong Tang
2024 A* conf
Knowledge-Aware Explainable Reciprocal Recommendation.
AAAI
Kai-Huang Lai, Zhe-Rui Yang, Pei-Yuan Lai, Chang-Dong Wang, Mohsen Guizani, Min Chen
2024 J jnl
Knowledge-reinforced explainable next basket recommendation.
Neural Networks
Ling Huang, Han Zou, Xiao-Dong Huang, Yuefang Gao, Yingjie Kuang, Chang-Dong Wang
2024 J jnl
MIGP: Metapath Integrated Graph Prompt Neural Network.
Neural Networks
Pei-Yuan Lai, Qing-Yun Dai, Yi-Hong Lu, Zeng-Hui Wang, Man-Sheng Chen, Chang-Dong Wang
2024 J jnl
Motif-Based Contrastive Learning for Community Detection.
IEEE Trans. Neural Networks Learn. Syst.
Xunxun Wu, Chang-Dong Wang, Jia-Qi Lin, Wudong Xi, Philip S. Yu
2024 J jnl
MuSAM: Mutual-Scenario-Aware Multimodal-Enhanced Representation Learning for Semantic Similarity.
IEEE Trans. Ind. Informatics
Pei-Yuan Lai, Qing-Yun Dai, De-Zhang Liao, Zeng-Hui Wang, Chang-Dong Wang
2024 J jnl
Multi-View Graph Learning by Joint Modeling of Consistency and Inconsistency.
IEEE Trans. Neural Networks Learn. Syst.
Youwei Liang, Dong Huang, Chang-Dong Wang, Philip S. Yu
2024 J jnl
Multi-view Heterogeneous Graph Neural Networks for Node Classification.
Data Sci. Eng.
Xi Zeng, Fangyuan Lei, Chang-Dong Wang, Qing-Yun Dai
2024 — conf
OR
DASFAA (7)
Pei-Yuan Lai, Yu-Xuan Zhou, Cheng Li, Shi-Yu Liu, Xiao-Dong Liao, De-Zhang Liao, Chang-Dong Wang
2024 J jnl
Online Feature Selection With Varying Feature Spaces.
IEEE Trans. Knowl. Data Eng.
Shengda Zhuo, Jin-Jie Qiu, Chang-Dong Wang, Shu-Qiang Huang
2024 J jnl
Post-Distillation via Neural Resuscitation.
IEEE Trans. Multim.
Zhiqiang Bao, Zihao Chen, Chang-Dong Wang, Wei-Shi Zheng, Zhenhua Huang, Yunwen Chen
2024 A* conf
RecCoder: Reformulating Sequential Recommendation as Large Language Model-Based Code Completion.
ICDM
Kai-Huang Lai, Wu-Dong Xi, Xing-Xing Xing, Wei Wan, Chang-Dong Wang, Min Chen, Mohsen Guizani
2024 J jnl
Refining Graph Structure for Incomplete Multi-View Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Xiang-Long Li, Man-Sheng Chen, Chang-Dong Wang, Jian-Huang Lai
2024 — conf
Resource Optimized Network Virtualization Empowered Metaverse for Wireless Networks.
ICC
Latif U. Khan, Mohsen Guizani, Chang-Dong Wang, Di Wu
2024 B conf
Resource-Aware Split Federated Learning for Fall Detection in the Metaverse.
WiMob
Mohamad Wazzeh, Ahmad Hammoud, Mohsen Guizani, Azzam Mourad, Hadi Otrok, Chamseddine Talhi, Zbigniew Dziong, Chang-Dong Wang
2024 J jnl
Sequential Trajectory Data Publishing With Adaptive Grid-Based Weighted Differential Privacy.
IEEE Trans. Knowl. Data Eng.
Guangqiang Xie, Haoran Xu, Jiyuan Xu, Shupeng Zhao, Yang Li, Chang-Dong Wang, Xianbiao Hu, Yonghong Tian
2024 J jnl
Sparse Graph Tensor Learning for Multi-View Spectral Clustering.
IEEE Trans. Emerg. Top. Comput. Intell.
Man-Sheng Chen, Zhi-yuan Li, Jia-Qi Lin, Chang-Dong Wang, Dong Huang
2024 J jnl
Sparse K-means clustering algorithm with anchor graph regularization.
Inf. Sci.
Xiaojun Yang, Weihao Zhao, Yuxiong Xu, Chang-Dong Wang, Bin Li, Feiping Nie
2024 B conf
Temporal Hierarchical Graph Attention Network for Traffic Prediction with Prompt Learning.
IWCMC
Cheng Li, Pei-Yuan Lai, Yu-Xuan Zhou, Chang-Dong Wang
2024 J jnl
Tensorized Incomplete Multi-view Kernel Subspace Clustering.
Neural Networks
Guang-Yu Zhang, Dong Huang, Chang-Dong Wang
2024 J jnl
Time-Aware Multibehavior Contrastive Learning for Social Recommendation.
IEEE Trans. Ind. Informatics
Chuyuan Wei, Chuanhao Hu, Chang-Dong Wang, Shuqiang Huang
2024 J jnl
Towards Effective and Robust Graph Contrastive Learning With Graph Autoencoding.
IEEE Trans. Knowl. Data Eng.
Wen-Zhi Li, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
2024 J jnl
Towards Scalable Multi-View Clustering via Joint Learning of Many Bipartite Graphs.
IEEE Trans. Big Data
Jinghuan Lao, Dong Huang, Chang-Dong Wang, Jian-Huang Lai
2024 J jnl
Unified Representation Learning for Multi-View Clustering by Between/Within View Deep Majorization.
IEEE Trans. Emerg. Top. Comput. Intell.
Yue Zhang, Sirui Yang, Weitian Huang, Chang-Dong Wang, Hongmin Cai
2024 J jnl
Unified and Tensorized Incomplete Multi-View Kernel Subspace Clustering.
IEEE Trans. Emerg. Top. Comput. Intell.
Guang-Yu Zhang, Dong Huang, Chang-Dong Wang
2024 J jnl
Unveiling the potential of long-range dependence with mask-guided structure learning for hypergraph.
Knowl. Based Syst.
Fangyuan Lei, Jiahao Huang, Jianjian Jiang, Da Huang, Zhengming Li, Chang-Dong Wang
2023 — conf
ALGCN: Accelerated Light Graph Convolution Network for Recommendation.
DASFAA (2)
Ronghai Xu, Haijun Zhao, Zhi-yuan Li, Chang-Dong Wang
2023 J jnl
Adversarial Spam Detector With Character Similarity Network.
IEEE Trans. Ind. Informatics
Yan-Hui Chen, Ling Huang, Chang-Dong Wang, Min Fu, Shu-Qiang Huang, Jianyi Huang, Youwei Tan, Chenfan Yan
2023 A* conf
Auto Graph Filtering for Bundle Recommendation.
ICDM
Xiang-Long Li, Wu-Dong Xi, Xing-Xing Xing, Chang-Dong Wang
2023 J jnl
Consensus enhancement for multi-agent systems with rotating-segmentation perception.
Appl. Intell.
Guangqiang Xie, Haoran Xu, Yang Li, Xianbiao Hu, Chang-Dong Wang
2023 J jnl
Cross-Subject Tinnitus Diagnosis Based on Multi-Band EEG Contrastive Representation Learning.
IEEE J. Biomed. Health Informatics
Chang-Dong Wang, Xi-Ran Zhu, Xueqing Zhou, Jiahong Li, Liping Lan, Dong Huang, Yiqing Zheng, Yue-Xin Cai
2023 J jnl
Deep Temporal Contrastive Clustering.
Neural Process. Lett.
Ying Zhong, Dong Huang, Chang-Dong Wang
2023 J jnl
Explicit Message-Passing Heterogeneous Graph Neural Network.
IEEE Trans. Knowl. Data Eng.
Lei Xu, Zhenyu He, Kai Wang, Chang-Dong Wang, Shu-Qiang Huang
2023 J jnl
Facilitated low-rank multi-view subspace clustering.
Knowl. Based Syst.
Guang-Yu Zhang, Dong Huang, Chang-Dong Wang
2023 J jnl
Fast Multi-View Clustering Via Ensembles: Towards Scalability, Superiority, and Simplicity.
IEEE Trans. Knowl. Data Eng.
Dong Huang, Chang-Dong Wang, Jian-Huang Lai
2023 J jnl
G
IEEE Trans. Neural Networks Learn. Syst.
Zhi-Hong Deng, Chang-Dong Wang, Ling Huang, Jian-Huang Lai, Philip S. Yu
2023 A* conf
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification.
KDD
Wen-Zhi Li, Chang-Dong Wang, Hui Xiong, Jian-Huang Lai
2023 J jnl
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification.
CoRR
Wen-Zhi Li, Chang-Dong Wang, Hui Xiong, Jian-Huang Lai
2023 J jnl
HB-DSBM: Modeling the Dynamic Complex Networks From Community Level to Node Level.
IEEE Trans. Neural Networks Learn. Syst.
Pengfei Jiao, Tianpeng Li, Huaming Wu, Chang-Dong Wang, Dongxiao He, Wenjun Wang
2023 J jnl
HOLT-Net: Detecting smokers via human-object interaction with lite transformer network.
Eng. Appl. Artif. Intell.
Hua-Bao Ling, Dong Huang, Jinrong Cui, Chang-Dong Wang
2023 J jnl
Heterogeneous Tri-stream Clustering Network.
CoRR
Xiaozhi Deng, Dong Huang, Chang-Dong Wang
2023 J jnl
Heterogeneous Tri-stream Clustering Network.
Neural Process. Lett.
Xiaozhi Deng, Dong Huang, Chang-Dong Wang
2023 J jnl
Higher Order Connection Enhanced Community Detection in Adversarial Multiview Networks.
IEEE Trans. Cybern.
Ling Huang, Chang-Dong Wang, Philip S. Yu
2023 A* conf
HomoGCL: Rethinking Homophily in Graph Contrastive Learning.
KDD
Wen-Zhi Li, Chang-Dong Wang, Hui Xiong, Jian-Huang Lai
2023 J jnl
HomoGCL: Rethinking Homophily in Graph Contrastive Learning.
CoRR
Wen-Zhi Li, Chang-Dong Wang, Hui Xiong, Jian-Huang Lai
2023 J jnl
Hybrid-Order Anomaly Detection on Attributed Networks.
IEEE Trans. Knowl. Data Eng.
Ling Huang, Ye Zhu, Yuefang Gao, Tuo Liu, Chao Chang, Caixing Liu, Yong Tang, Chang-Dong Wang
2023 A* conf
Hypergraph Attribute Attention Network for Community Recommendation.
ICDM
Kang Li, Wu-Dong Xi, Xing-Xing Xing, Chang-Dong Wang
2023 J jnl
Hypergraph Enhanced Knowledge Tree Prompt Learning for Next-Basket Recommendation.
CoRR
Zi-Feng Mai, Chang-Dong Wang, Zhongjie Zeng, Ya Li, Jiaquan Chen, Philip S. Yu
2023 J jnl
KGTN: Knowledge Graph Transformer Network for explainable multi-category item recommendation.
Knowl. Based Syst.
Chao Chang, Junming Zhou, Yu Weng, Xiangwei Zeng, Zhengyang Wu, Chang-Dong Wang, Yong Tang
2023 A* conf
Knowledge Prompt-tuning for Sequential Recommendation.
ACM Multimedia
Jianyang Zhai, Xiawu Zheng, Chang-Dong Wang, Hui Li, Yonghong Tian
2023 J jnl
Knowledge Prompt-tuning for Sequential Recommendation.
CoRR
Jianyang Zhai, Xiawu Zheng, Chang-Dong Wang, Hui Li, Yonghong Tian
2023 J jnl
Low-Rank Tensor Based Proximity Learning for Multi-View Clustering.
IEEE Trans. Knowl. Data Eng.
Man-Sheng Chen, Chang-Dong Wang, Jian-Huang Lai
2023 A* conf
MCRec: Multi-channel Gated Gifts Recommendation.
ICDM
Ting-Ting Su, Wu-Dong Xi, Xing-Xing Xing, Chang-Dong Wang
2023 J jnl
Multi-Information Preprocessing Event Extraction With BiLSTM-CRF Attention for Academic Knowledge Graph Construction.
IEEE Trans. Comput. Soc. Syst.
Chao Chang, Yong Tang, Yongxu Long, Kun Hu, Ying Li, Jianguo Li, Chang-Dong Wang
2023 J jnl
Multiparty Secure Broad Learning System for Privacy Preserving.
IEEE Trans. Cybern.
Xiao-Kai Cao, Chang-Dong Wang, Jian-Huang Lai, Qiong Huang, C. L. Philip Chen
2023 J jnl
Multiview Clustering via Proximity Learning in Latent Representation Space.
IEEE Trans. Neural Networks Learn. Syst.
Bao-Yu Liu, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
2023 A* conf
On Regularizing Multiple Clusterings for Ensemble Clustering by Graph Tensor Learning.
ACM Multimedia
Man-Sheng Chen, Jia-Qi Lin, Chang-Dong Wang, Wudong Xi, Dong Huang
2023 J jnl
One-step Bipartite Graph Cut: A Normalized Formulation and Its Application to Scalable Subspace Clustering.
CoRR
Si-Guo Fang, Dong Huang, Chang-Dong Wang, Jian-Huang Lai
2023 A* conf
PKAT: Pre-training in Collaborative Knowledge Graph Attention Network for Recommendation.
ICDM
Yi-Hong Lu, Chang-Dong Wang, Pei-Yuan Lai, Jian-Huang Lai
2023 — conf
ProtoMix: Learnable Data Augmentation on Few-Shot Features with Vector Quantization in CTR Prediction.
ADMA (1)
Haijun Zhao, Ronghai Xu, Chang-Dong Wang, Ying Jiang
2023 J jnl
Seeking commonness and inconsistencies: A jointly smoothed approach to multi-view subspace clustering.
Inf. Fusion
Xiaosha Cai, Dong Huang, Guang-Yu Zhang, Chang-Dong Wang
2023 A conf
Self-Supervised Group Graph Collaborative Filtering for Group Recommendation.
WSDM
Kang Li, Chang-Dong Wang, Jian-Huang Lai, Huaqiang Yuan
2023 J jnl
Signal Contrastive Enhanced Graph Collaborative Filtering for Recommendation.
Data Sci. Eng.
Zhi-yuan Li, Man-Sheng Chen, Yuefang Gao, Chang-Dong Wang
2023 J jnl
Strongly augmented contrastive clustering.
Pattern Recognit.
Xiaozhi Deng, Dong Huang, Ding-Hua Chen, Chang-Dong Wang, Jian-Huang Lai
2023 A* conf
Telecom Fraud Detection Based on Feature Binning and Autoencoder.
ICDM
Fei-Yao Liang, Fei-Peng Li, Ronghai Xu, Wei Cheng, Shi-Xian Deng, Zhe-Rui Yang, Chang-Dong Wang
2022 J jnl
A BP Neural Network Based Recommender Framework With Attention Mechanism.
IEEE Trans. Knowl. Data Eng.
Chang-Dong Wang, Wu-Dong Xi, Ling Huang, Yin-Yu Zheng, Zi-Yuan Hu, Jian-Huang Lai
2022 A* conf
A Bi-directional Recommender System for Online Recruitment.
ICDM
Zhe-Rui Yang, Zhenyu He, Chang-Dong Wang, Pei-Yuan Lai, De-Zhang Liao, Zhong-Zheng Wang
2022 J jnl
A Model-Bias Matrix Factorization Approach for Course Score Prediction.
Neural Process. Lett.
Shi-Ting Zhong, Ling Huang, Chang-Dong Wang, Jianhuang Lai, Guangqiang Xie, Yang Li
2022 J jnl
A framework for personalized recommendation with conditional generative adversarial networks.
Knowl. Inf. Syst.
Jing Wen, Xi-Ran Zhu, Chang-Dong Wang, Zhihong Tian
2022 A* conf
Adaptively-weighted Integral Space for Fast Multiview Clustering.
ACM Multimedia
Man-Sheng Chen, Tuo Liu, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
2022 J jnl
Adaptively-weighted Integral Space for Fast Multiview Clustering.
CoRR
Man-Sheng Chen, Tuo Liu, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
2022 J jnl
An Autoencoder Framework With Attention Mechanism for Cross-Domain Recommendation.
IEEE Trans. Cybern.
Shi-Ting Zhong, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
2022 J jnl
Application of Convolutional Neural Network and Data Preprocessing by Mutual Dimensionless and Similar Gram Matrix in Fault Diagnosis.
IEEE Trans. Ind. Informatics
Jianbin Xiong, Chunlin Li, Chang-Dong Wang, Jian Cen, Qi Wang, Shuize Wang
2022 — conf
Basket Booster for Prototype-based Contrastive Learning in Next Basket Recommendation.
ECML/PKDD (1)
Ting-Ting Su, Zhenyu He, Man-Sheng Chen, Chang-Dong Wang
2022 J jnl
Broad Recommender System: An Efficient Nonlinear Collaborative Filtering Approach.
CoRR
Ling Huang, Can-Rong Guan, Zhen-Wei Huang, Yuefang Gao, Yingjie Kuang, Chang-Dong Wang, C. L. Philip Chen
2022 — conf
Coupled Learning for Kernel Representation and Graph Tensor in Multi-view Subspace Clustering.
PRCV (2)
Man-Sheng Chen, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
2022 J jnl
Cross-Domain Explicit-Implicit-Mixed Collaborative Filtering Neural Network.
IEEE Trans. Syst. Man Cybern. Syst.
Chang-Dong Wang, Yan-Hui Chen, Wu-Dong Xi, Ling Huang, Guangqiang Xie
2022 — conf
D-TRACE: Deep Triply-Aligned Clustering.
ICANN (1)
Ding-Hua Chen, Dong Huang, Haiyan Cheng, Chang-Dong Wang
2022 J jnl
DIAG: A Deep Interaction-Attribute-Generation model for user-generated item recommendation.
Knowl. Based Syst.
Ling Huang, Bi-Yi Chen, Hai-Yi Ye, Ronghua Lin, Yong Tang, Min Fu, Jianyi Huang, Chang-Dong Wang
2022 J jnl
Deep Rating and Review Neural Network for Item Recommendation.
IEEE Trans. Neural Networks Learn. Syst.
Wu-Dong Xi, Ling Huang, Chang-Dong Wang, Yin-Yu Zheng, Jian-Huang Lai
2022 J jnl
Deep Temporal Contrastive Clustering.
CoRR
Ying Zhong, Dong Huang, Chang-Dong Wang
2022 J jnl
DeepCluE: Enhanced Image Clustering via Multi-layer Ensembles in Deep Neural Networks.
CoRR
Dong Huang, Ding-Hua Chen, Xiangji Chen, Chang-Dong Wang, Jian-Huang Lai
2022 J jnl
Dual Information Enhanced Multi-view Attributed Graph Clustering.
CoRR
Jia-Qi Lin, Man-Sheng Chen, Xi-Ran Zhu, Chang-Dong Wang, Haizhang Zhang
2022 J jnl
Efficient Multi-view Clustering via Unified and Discrete Bipartite Graph Learning.
CoRR
Si-Guo Fang, Dong Huang, Xiaosha Cai, Chang-Dong Wang, Chaobo He, Yong Tang
2022 A* conf
Efficient Orthogonal Multi-view Subspace Clustering.
KDD
Man-Sheng Chen, Chang-Dong Wang, Dong Huang, Jian-Huang Lai, Philip S. Yu
2022 J jnl
Fast Multi-view Clustering via Ensembles: Towards Scalability, Superiority, and Simplicity.
CoRR
Dong Huang, Chang-Dong Wang, Jian-Huang Lai
2022 J jnl
Fast distributed consensus seeking in large-scale and high-density multi-agent systems with connectivity maintenance.
Inf. Sci.
Guangqiang Xie, Haoran Xu, Yang Li, Xianbiao Hu, Chang-Dong Wang
2022 J jnl
G
CoRR
Zhi-Hong Deng, Chang-Dong Wang, Ling Huang, Jian-Huang Lai, Philip S. Yu
2022 J jnl
GHOC: A generative model for hybrid-order community detection.
Int. J. Intell. Syst.
Ling Huang, Yong Tang, Chengzhou Fu, Jinfeng Wang, Chang-Dong Wang
2022 J jnl
Gray Learning from Non-IID Data with Out-of-distribution Samples.
CoRR
Zhilin Zhao, Longbing Cao, Chang-Dong Wang
2022 J jnl
Hybrid-Order Gated Graph Neural Network for Session-Based Recommendation.
IEEE Trans. Ind. Informatics
Yan-Hui Chen, Ling Huang, Chang-Dong Wang, Jian-Huang Lai
2022 J jnl
Image Clustering with Contrastive Learning and Multi-scale Graph Convolutional Networks.
CoRR
Yuankun Xu, Dong Huang, Chang-Dong Wang, Jian-Huang Lai
2022 J jnl
Joint Multi-view Unsupervised Feature Selection and Graph Learning.
CoRR
Si-Guo Fang, Dong Huang, Chang-Dong Wang, Yong Tang
2022 J jnl
Kernelized multi-view subspace clustering via auto-weighted graph learning.
Appl. Intell.
Guang-Yu Zhang, Xiao-wei Chen, Yu-Ren Zhou, Chang-Dong Wang, Dong Huang, Xiao-Yu He
2022 J jnl
Multi-View Consensus Proximity Learning for Clustering.
IEEE Trans. Knowl. Data Eng.
Bao-Yu Liu, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
2022 J jnl
Multi-party Secure Broad Learning System for Privacy Preserving.
CoRR
Xiao-Kai Cao, Chang-Dong Wang, Jian-Huang Lai, Qiong Huang, C. L. Philip Chen
2022 J jnl
Multiview Subspace Clustering With Grouping Effect.
IEEE Trans. Cybern.
Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang, Philip S. Yu
2022 J jnl
Node Pair Information Preserving Network Embedding Based on Adversarial Networks.
IEEE Trans. Cybern.
Chang-Dong Wang, Wei Shi, Ling Huang, Kun-Yu Lin, Dong Huang, Philip S. Yu
2022 J jnl
Representation Learning in Multi-view Clustering: A Literature Review.
Data Sci. Eng.
Man-Sheng Chen, Jia-Qi Lin, Xiang-Long Li, Bao-Yu Liu, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
2022 J jnl
Seeking Commonness and Inconsistencies: A Jointly Smoothed Approach to Multi-view Subspace Clustering.
CoRR
Xiaosha Cai, Dong Huang, Guang-Yu Zhang, Chang-Dong Wang
2022 J jnl
Strongly Augmented Contrastive Clustering.
CoRR
Xiaozhi Deng, Dong Huang, Ding-Hua Chen, Chang-Dong Wang, Jian-Huang Lai
2022 J jnl
Toward Multidiversified Ensemble Clustering of High-Dimensional Data: From Subspaces to Metrics and Beyond.
IEEE Trans. Cybern.
Dong Huang, Chang-Dong Wang, Jian-Huang Lai, Chee Keong Kwoh
2022 J jnl
Vision Transformer for Contrastive Clustering.
CoRR
Hua-Bao Ling, Bowen Zhu, Dong Huang, Ding-Hua Chen, Chang-Dong Wang, Jian-Huang Lai
2021 J jnl
A Local Consensus Index Scheme for Random-Valued Impulse Noise Detection Systems.
IEEE Trans. Syst. Man Cybern. Syst.
Xiuchun Xiao, Neal N. Xiong, Jianhuang Lai, Chang-Dong Wang, Zhenan Sun, Jingwen Yan
2021 J jnl
Adaptively Weighted Multiview Proximity Learning for Clustering.
IEEE Trans. Cybern.
Bao-Yu Liu, Ling Huang, Chang-Dong Wang, Suohai Fan, Philip S. Yu
2021 B conf
Attention-based Multi-proximity Preserved Attributed Network Embedding.
IJCNN
Xing-Xing Liu, Kai Wang, Chang-Dong Wang, Ling Huang
2021 J jnl
AttractRank: District Attraction Ranking Analysis Based on Taxi Big Data.
IEEE Trans. Ind. Informatics
Guangqiang Xie, Runpeng Zhang, Yang Li, Ling Huang, Chang-Dong Wang, Hao Yang, Jiahao Liang
2021 J jnl
Attributed Network Embedding with Micro-Meso Structure.
ACM Trans. Knowl. Discov. Data
Juan-Hui Li, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai, Pei Chen
2021 J jnl
BCFNet: A Balanced Collaborative Filtering Network with Attention Mechanism.
CoRR
Zi-Yuan Hu, Jin Huang, Zhi-Hong Deng, Chang-Dong Wang, Ling Huang, Jian-Huang Lai, Philip S. Yu
2021 — conf
Consistency- and Inconsistency-Aware Multi-view Subspace Clustering.
DASFAA (2)
Guang-Yu Zhang, Xiao-wei Chen, Yu-Ren Zhou, Chang-Dong Wang, Dong Huang
2021 J jnl
Enhanced Ensemble Clustering via Fast Propagation of Cluster-Wise Similarities.
IEEE Trans. Syst. Man Cybern. Syst.
Dong Huang, Chang-Dong Wang, Hongxing Peng, Jianhuang Lai, Chee-Keong Kwoh
2021 J jnl
HM-Modularity: A Harmonic Motif Modularity Approach for Multi-Layer Network Community Detection.
IEEE Trans. Knowl. Data Eng.
Ling Huang, Chang-Dong Wang, Hongyang Chao
2021 A* conf
Hybrid-order Stochastic Block Model.
AAAI
Xunxun Wu, Chang-Dong Wang, Pengfei Jiao
2021 J jnl
Joint representation learning for multi-view subspace clustering.
Expert Syst. Appl.
Guang-Yu Zhang, Yu-Ren Zhou, Chang-Dong Wang, Dong Huang, Xiaoyu He
2021 A* conf
PRGAN: Personalized Recommendation with Conditional Generative Adversarial Networks.
ICDM
Jing Wen, Bi-Yi Chen, Chang-Dong Wang, Zhihong Tian
2021 J jnl
Relaxed multi-view clustering in latent embedding space.
Inf. Fusion
Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
2021 B conf
Session-based Recommendation with Heterogeneous Graph Neural Networks.
IJCNN
Lei Xu, Wu-Dong Xi, Chang-Dong Wang
2021 J jnl
Smoothness Regularized Multiview Subspace Clustering With Kernel Learning.
IEEE Trans. Neural Networks Learn. Syst.
Chang-Dong Wang, Man-Sheng Chen, Ling Huang, Jian-Huang Lai, Philip S. Yu
2021 A* conf
StarGAT: Star-Shaped Hierarchical Graph Attentional Network for Heterogeneous Network Representation Learning.
ICDM
Wen-Zhi Li, Ling Huang, Chang-Dong Wang, Yuxin Ye
2021 J jnl
Temporal Hierarchical Graph Attention Network for Traffic Prediction.
ACM Trans. Intell. Syst. Technol.
Ling Huang, Xing-Xing Liu, Shu-Qiang Huang, Chang-Dong Wang, Wei Tu, Jia-Meng Xie, Shuai Tang, Wendi Xie
2021 J jnl
oComm: Overlapping Community Detection in Multi-View Brain Network.
IEEE ACM Trans. Comput. Biol. Bioinform.
Ling Huang, Chang-Dong Wang, Hongyang Chao
2020 C ed.
Advanced Data Mining and Applications - 16th International Conference, ADMA 2020, Foshan, China, November 12-14, 2020, Proceedings
ADMA
Xiaochun Yang, Chang-Dong Wang, Md. Saiful Islam, Zheng Zhang
2020 J jnl
Community Detection by Motif-Aware Label Propagation.
ACM Trans. Knowl. Discov. Data
Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Dong Huang
2020 A* conf
Graph Pooling with Representativeness.
ICDM
Juan-Hui Li, Yao Ma, Yiqi Wang, Charu C. Aggarwal, Chang-Dong Wang, Jiliang Tang
2020 — conf
Latent Space Clustering via Dual Discriminator GAN.
DASFAA (1)
Heng-Ping He, Pei-Zhen Li, Ling Huang, Yu-Xuan Ji, Chang-Dong Wang
2020 J jnl
MVStream: Multiview Data Stream Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Ling Huang, Chang-Dong Wang, Hongyang Chao, Philip S. Yu
2020 A* conf
Multi-View Clustering in Latent Embedding Space.
AAAI
Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang
2020 J jnl
Multi-view Graph Learning by Joint Modeling of Consistency and Inconsistency.
CoRR
Youwei Liang, Dong Huang, Chang-Dong Wang, Philip S. Yu
2020 J jnl
One-step Kernel Multi-view Subspace Clustering.
Knowl. Based Syst.
Guang-Yu Zhang, Yu-Ren Zhou, Xiaoyu He, Chang-Dong Wang, Dong Huang
2020 — conf
Spectral Clustering by Subspace Randomization and Graph Fusion for High-Dimensional Data.
PAKDD (1)
Xiaosha Cai, Dong Huang, Chang-Dong Wang, Chee-Keong Kwoh
2020 J jnl
Ultra-Scalable Spectral Clustering and Ensemble Clustering.
IEEE Trans. Knowl. Data Eng.
Dong Huang, Chang-Dong Wang, Jian-Sheng Wu, Jian-Huang Lai, Chee-Keong Kwoh
2019 J jnl
A Distributed Consensus Protocol Based on Neighbor Selection Strategies for Multi-Agent Systems Convergence.
IEEE Access
Guangqiang Xie, Tianxiang Lan, Xianbiao Hu, Yang Li, Chang-Dong Wang, Yuyu Yin
2019 — conf
A Dynamic Model + BFR Algorithm for Streaming Data Sorting.
IScIDE (2)
Yongwei Tan, Ling Huang, Chang-Dong Wang
2019 J jnl
A Score Prediction Approach for Optional Course Recommendation via Cross-User-Domain Collaborative Filtering.
IEEE Access
Ling Huang, Chang-Dong Wang, Hong-Yang Chao, Jian-Huang Lai, Philip S. Yu
2019 A* conf
BPAM: Recommendation Based on BP Neural Network with Attention Mechanism.
IJCAI
Wu-Dong Xi, Ling Huang, Chang-Dong Wang, Yin-Yu Zheng, Jianhuang Lai
2019 J jnl
Brain network analysis for auditory disease: A twofold study.
Neurocomputing
Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Chuan Li, Jian-Huang Lai
2019 J jnl
Community detection using multilayer edge mixture model.
Knowl. Inf. Syst.
Han Zhang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
2019 A* conf
Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering.
ICDM
Youwei Liang, Dong Huang, Chang-Dong Wang
2019 A* conf
Constrained Matrix Factorization for Course Score Prediction.
ICDM
Shi-Ting Zhong, Ling Huang, Chang-Dong Wang, Jian-Huang Lai
2019 A* conf
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System.
AAAI
Zhi-Hong Deng, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
2019 J jnl
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System.
CoRR
Zhi-Hong Deng, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
2019 J jnl
Direction recovery in undirected social networks based on community structure and popularity.
Inf. Sci.
Yi-Ming Wen, Ling Huang, Chang-Dong Wang, Kun-Yu Lin
2019 A* conf
EdMot: An Edge Enhancement Approach for Motif-aware Community Detection.
KDD
Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Jian-Huang Lai
2019 J jnl
EdMot: An Edge Enhancement Approach for Motif-aware Community Detection.
CoRR
Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Jian-Huang Lai
2019 J jnl
Establishment of rule dictionary for efficient XACML policy management.
Knowl. Based Syst.
Fan Deng, Liyong Zhang, Changyu Zhang, Hao Ban, Chang-Dong Wang, Minghao Shi, Chao Chen, Enti Zhang
2019 A* conf
Generative Dual Adversarial Network for Generalized Zero-Shot Learning.
CVPR
He Huang, Changhu Wang, Philip S. Yu, Chang-Dong Wang
2019 J jnl
Higher-Order Brain Network Analysis for Auditory Disease.
Neural Process. Lett.
Pei-Zhen Li, Yue-Xin Cai, Chang-Dong Wang, Mao-Jin Liang, Yi-Qing Zheng
2019 A* conf
Higher-Order Multi-Layer Community Detection.
AAAI
Ling Huang, Chang-Dong Wang, Hong-Yang Chao
2019 J jnl
Inter-Intra Information Preserving Attributed Network Embedding.
IEEE Access
Kai Wang, Lei Xu, Ling Huang, Chang-Dong Wang, Yong Tang, Chengzhou Fu
2019 J jnl
Item orientated recommendation by multi-view intact space learning with overlapping.
Knowl. Based Syst.
Qi-Ying Hu, Ling Huang, Chang-Dong Wang, Hong-Yang Chao
2019 J jnl
LSCD: Low-rank and sparse cross-domain recommendation.
Neurocomputing
Ling Huang, Zhi-Lin Zhao, Chang-Dong Wang, Dong Huang, Hong-Yang Chao
2019 J jnl
Multi-View Intact Space Learning for Tinnitus Classification in Resting State EEG.
Neural Process. Lett.
Zhi-Ran Sun, Yue-Xin Cai, Shao-Ju Wang, Chang-Dong Wang, Yi-Qing Zheng, Yan-Hong Chen, Yu-Chen Chen
2019 A* conf
Multi-view Outlier Detection in Deep Intact Space.
ICDM
Yu-Xuan Ji, Ling Huang, Heng-Ping He, Chang-Dong Wang, Guangqiang Xie, Wei Shi, Kun-Yu Lin
2019 — conf
Multi-view Spectral Clustering via Multi-view Weighted Consensus and Matrix-Decomposition Based Discretization.
DASFAA (1)
Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang
2019 J jnl
Multi-view intact space clustering.
Pattern Recognit.
Ling Huang, Hong-Yang Chao, Chang-Dong Wang
2019 J jnl
Network Embedding via Community Based Variational Autoencoder.
IEEE Access
Wei Shi, Ling Huang, Chang-Dong Wang, Juan-Hui Li, Yong Tang, Chengzhou Fu
2019 — conf
Network embedding with class discriminability.
ACM TUR-C
Zi-Hua Li, Ling Huang, Kai Wang, Chang-Dong Wang, Wei Shi, Dong Huang
2019 J jnl
PartNRL: Partial Nodes Representation Learning in Large-Scale Network.
IEEE Access
Juan-Hui Li, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
2019 — conf
Relevance-Based Entity Embedding.
DASFAA (3)
Weixin Zeng, Xiang Zhao, Jiuyang Tang, Jinzhi Liao, Chang-Dong Wang
2019 J jnl
SDDRS: Stacked Discriminative Denoising Auto-Encoder based Recommender System.
Cogn. Syst. Res.
Kai Wang, Lei Xu, Ling Huang, Chang-Dong Wang, Jian-Huang Lai
2019 J jnl
Serendipitous Recommendation in E-Commerce Using Innovator-Based Collaborative Filtering.
IEEE Trans. Cybern.
Chang-Dong Wang, Zhi-Hong Deng, Jian-Huang Lai, Philip S. Yu
2019 J jnl
Ultra-Scalable Spectral Clustering and Ensemble Clustering.
CoRR
Dong Huang, Chang-Dong Wang, Jian-Sheng Wu, Jian-Huang Lai, Chee-Keong Kwoh
2019 J jnl
Unsupervised feature selection with multi-subspace randomization and collaboration.
Knowl. Based Syst.
Dong Huang, Xiaosha Cai, Chang-Dong Wang
2018 A* conf
A Harmonic Motif Modularity Approach for Multi-layer Network Community Detection.
ICDM
Ling Huang, Chang-Dong Wang, Hong-Yang Chao
2018 J jnl
A Novel clustering method based on hybrid K-nearest-neighbor graph.
Pattern Recognit.
Yikun Qin, Zhu Liang Yu, Chang-Dong Wang, Zhenghui Gu, Yuanqing Li
2018 — conf
Attributed Network Embedding with Micro-meso Structure.
DASFAA (1)
Juan-Hui Li, Chang-Dong Wang, Ling Huang, Dong Huang, Jian-Huang Lai, Pei Chen
2018 J jnl
Community Detection Using Attribute Homogenous Motif.
IEEE Access
Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
2018 — conf
Direction Recovery in Undirected Social Networks Based on Community Structure and Popularity.
DASFAA (1)
Yi-Ming Wen, Chang-Dong Wang, Kun-Yu Lin
2018 J jnl
Discriminative metric learning for multi-view graph partitioning.
Pattern Recognit.
Juan-Hui Li, Chang-Dong Wang, Pei-Zhen Li, Jian-Huang Lai
2018 J jnl
Enhanced Ensemble Clustering via Fast Propagation of Cluster-wise Similarities.
CoRR
Dong Huang, Chang-Dong Wang, Hongxing Peng, Jianhuang Lai, Chee-Keong Kwoh
2018 — conf
Ensemble Clustering by Noise-Aware Graph Decomposition.
ICIT
Man-Sheng Chen, Dong Huang, Mingkai He, Chang-Dong Wang
2018 J jnl
Generative Dual Adversarial Network for Generalized Zero-shot Learning.
CoRR
He Huang, Changhu Wang, Philip S. Yu, Chang-Dong Wang
2018 J jnl
Locally Weighted Ensemble Clustering.
IEEE Trans. Cybern.
Dong Huang, Chang-Dong Wang, Jian-Huang Lai
2018 — conf
Low-Rank and Sparse Cross-Domain Recommendation Algorithm.
DASFAA (1)
Zhi-Lin Zhao, Ling Huang, Chang-Dong Wang, Dong Huang
2018 — conf
Multi-view Proximity Learning for Clustering.
DASFAA (2)
Kun-Yu Lin, Ling Huang, Chang-Dong Wang, Hong-Yang Chao
2018 — conf
Overlapping Community Detection in Multi-view Brain Network.
BIBM
Ling Huang, Chang-Dong Wang, Hong-Yang Chao
2018 — conf
Stacked Discriminative Denoising Auto-encoder Based Recommender System.
IScIDE
Kai Wang, Lei Xu, Ling Huang, Chang-Dong Wang, Jian-Huang Lai
2018 J jnl
TW-Co-
Knowl. Based Syst.
Guang-Yu Zhang, Chang-Dong Wang, Dong Huang, Wei-Shi Zheng, Yu-Ren Zhou
2018 A* conf
dpMood: Exploiting Local and Periodic Typing Dynamics for Personalized Mood Prediction.
ICDM
He Huang, Bokai Cao, Philip S. Yu, Chang-Dong Wang, Alex D. Leow
2018 J jnl
dpMood: Exploiting Local and Periodic Typing Dynamics for Personalized Mood Prediction.
CoRR
He Huang, Bokai Cao, Philip S. Yu, Chang-Dong Wang, Alex D. Leow
2017 — conf
A Distributed Multi-exemplar Affinity Propagation Clustering Algorithm Based on MapReduce.
BigDataService
Yu-Bo Yang, Chang-Dong Wang, Jian-Huang Lai
2017 — conf
A Hybrid Approach for Recovering Information Propagational Direction.
ICONIP (5)
Xiang-Rui Peng, Ling Huang, Chang-Dong Wang
2017 J jnl
An item orientated recommendation algorithm from the multi-view perspective.
Neurocomputing
Qi-Ying Hu, Zhi-Lin Zhao, Chang-Dong Wang, Jian-Huang Lai
2017 J jnl
CCMS: A nonlinear clustering method based on crowd movement and selection.
Neurocomputing
Chao Chen, Kun-Yu Lin, Chang-Dong Wang, Jian-Bo Liu, Dong Huang
2017 — conf
Community Detection in Graph Streams by Pruning Zombie Nodes.
PAKDD (1)
Yue Ding, Ling Huang, Chang-Dong Wang, Dong Huang
2017 — conf
Event Recommendation via Collective Matrix Factorization with Event-User Neighborhood.
IScIDE
Mei Li, Dong Huang, Bin Wei, Chang-Dong Wang
2017 — conf
Geographical and Overlapping Community Modeling Based on Business Circles for POI Recommendation.
IScIDE
Man-Rui Li, Ling Huang, Chang-Dong Wang
2017 — conf
LWMC: A Locally Weighted Meta-Clustering Algorithm for Ensemble Clustering.
ICONIP (5)
Dong Huang, Chang-Dong Wang, Jian-Huang Lai
2017 — conf
Low-Rank and Sparse Matrix Completion for Recommendation.
ICONIP (5)
Zhi-Lin Zhao, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
2017 A conf
Missing Value Learning.
CIKM
Zhi-Lin Zhao, Chang-Dong Wang, Kun-Yu Lin, Jian-Huang Lai
2017 — conf
Multi-view Intact Space Clustering.
ACPR
Ling Ling, Hong-Yang Chao, Chang-Dong Wang
2017 C conf
Multi-view Unit Intact Space Learning.
KSEM
Kun-Yu Lin, Chang-Dong Wang, Yu-Qin Meng, Zhi-Lin Zhao
2017 J jnl
Multi-view collaborative locally adaptive clustering with Minkowski metric.
Expert Syst. Appl.
Guang-Yu Zhang, Chang-Dong Wang, Dong Huang, Wei-Shi Zheng
2017 J jnl
Recommendation in feature space sphere.
Electron. Commer. Res. Appl.
Zhi-Lin Zhao, Chang-Dong Wang, Yuan-Yu Wan, Jian-Huang Lai
2017 — conf
Social and Content Based Collaborative Filtering for Point-of-Interest Recommendations.
ICONIP (5)
Yi-Ning Xu, Lei Xu, Ling Huang, Chang-Dong Wang
2017 B conf
Text clustering using enhanced PLSA with word correlation.
IJCNN
Qian Zuo, Chang-Dong Wang, Jian-Huang Lai
2017 — conf
Tinnitus EEG Classification Based on Multi-frequency Bands.
ICONIP (4)
Shao-Ju Wang, Yue-Xin Cai, Zhi-Ran Sun, Chang-Dong Wang, Yi-Qing Zheng
2017 J jnl
Toward Multi-Diversified Ensemble Clustering of High-Dimensional Data.
CoRR
Dong Huang, Chang-Dong Wang, Jian-Huang Lai, Chee-Keong Kwoh
2017 B conf
Weighted numerical and categorical attribute clustering in data streams.
IJCNN
Wen-Bin Liang, Chang-Dong Wang, Jian-Huang Lai
2016 — conf
A SVM-Based EEG Signal Analysis: An Auxiliary Therapy for Tinnitus.
BICS
Pei-Zhen Li, Juan-Hui Li, Chang-Dong Wang
2016 — conf
An Efficient Parallel Nonlinear Clustering Algorithm Using MapReduce.
IPDPS Workshops
Xiang-You Peng, Yu-Bo Yang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai
2016 — conf
An efficient parallel topic-sensitive expert finding algorithm using spark.
IEEE BigData
Yao-Ming Yang, Chang-Dong Wang, Jian-Huang Lai
2016 — conf
CSBD: A Nonlinear Clustering Method Based on Cluster Shrinking and Border Detection.
Trustcom/BigDataSE/ISPA
Chao Chen, Kun-Yu Lin, Chang-Dong Wang, Dong Huang
2016 J jnl
Community Detection Using Multilayer Edge Mixture Model.
CoRR
Han Zhang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
2016 — conf
Community Detection in Complicated Network Based on the Multi-view Weighted Signed Permanence.
Trustcom/BigDataSE/ISPA
Juan-Hui Li, Pei-Zhen Li, Chang-Dong Wang, Jian-Huang Lai
2016 J jnl
Ensemble clustering using factor graph.
Pattern Recognit.
Dong Huang, Jianhuang Lai, Chang-Dong Wang
2016 B conf
Ensemble-driven support vector clustering: From ensemble learning to automatic parameter estimation.
ICPR
Dong Huang, Chang-Dong Wang, Jian-Huang Lai, Yun Liang, Shan Bian, Yu Chen
2016 J jnl
Ensemble-driven support vector clustering: From ensemble learning to automatic parameter estimation.
CoRR
Dong Huang, Chang-Dong Wang, Jian-Huang Lai, Yun Liang, Shan Bian, Yu Chen
2016 J jnl
Ensembling over-segmentations: From weak evidence to strong segmentation.
Neurocomputing
Dong Huang, Jian-Huang Lai, Chang-Dong Wang, Pong C. Yuen
2016 B conf
FTMF: Recommendation in social network with Feature Transfer and Probabilistic Matrix Factorization.
IJCNN
Zhi-Lin Zhao, Chang-Dong Wang, Yuan-Yu Wan, Jian-Huang Lai, Dong Huang
2016 J jnl
Locally Weighted Ensemble Clustering.
CoRR
Dong Huang, Chang-Dong Wang, Jian-Huang Lai
2016 J jnl
Long-term revenue maximization pricing scheme for cloud.
Comput. Syst. Sci. Eng.
Wenkai Huang, Chang-Dong Wang, Shaoshu Huang, Zheng Li, Jian-Huang Lai, Ling Huang
2016 J jnl
Modularity in Complex Multilayer Networks with Multiple Aspects: A Static Perspective.
CoRR
Han Zhang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
2016 B conf
Modularity optimization by Global-Local Search.
IJCNN
Xun Wang, Chang-Dong Wang, Jian-Huang Lai
2016 J jnl
Multi-View Clustering Based on Belief Propagation.
IEEE Trans. Knowl. Data Eng.
Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
2016 C conf
Online visual tracking via correlation filter with convolutional networks.
VCIP
Zheng Li, Jianfei Yang, Juan Zha, Chang-Dong Wang, Wei-Shi Zheng
2016 — conf
Point of interest recommendation with social and geographical influence.
IEEE BigData
Da-Chuan Zhang, Mei Li, Chang-Dong Wang
2016 J jnl
Robust Ensemble Clustering Using Probability Trajectories.
CoRR
Dong Huang, Jian-Huang Lai, Chang-Dong Wang
2016 J jnl
Robust Ensemble Clustering Using Probability Trajectories.
IEEE Trans. Knowl. Data Eng.
Dong Huang, Jian-Huang Lai, Chang-Dong Wang
2016 — conf
SDenPeak: Semi-supervised Nonlinear Clustering Based on Density and Distance.
BigDataService
Wen-Qi Fan, Chang-Dong Wang, Jian-Huang Lai
2016 J jnl
Weighted Multi-view Clustering with Feature Selection.
Pattern Recognit.
Yu-Meng Xu, Chang-Dong Wang, Jian-Huang Lai
2016 — conf
Weighted Multi-view On-Line Competitive Clustering.
BigDataService
Guang-Yu Zhang, Dong Huang, Chang-Dong Wang, Wei-Shi Zheng
2015 — conf
An ACO-based Scheduling Strategy on Load Balancing in Cloud Computing Environment.
FCST
Wei-Tao Wen, Chang-Dong Wang, De-Shen Wu, Ying-Yan Xie
2015 — conf
Application for Party Based on Cloud Platform.
FCST
Huan Huang, Ling Huang, Chang-Dong Wang, Jie-Kai Huang, Yan-Jia Chen
2015 J jnl
Chinese-Tibetan bilingual clustering based on random walk.
Neurocomputing
Chengxu Ye, Wushao Wen, Chang-Dong Wang
2015 J jnl
Combining multiple clusterings via crowd agreement estimation and multi-granularity link analysis.
Neurocomputing
Dong Huang, Jian-Huang Lai, Chang-Dong Wang
2015 — conf
HDenDist: Nonlinear Hierarchical Clustering Based on Density and Min-distance.
BDCloud
Wen-Qi Fan, Chang-Dong Wang, Yuan-Wei Chen, Jian-Huang Lai
2015 — conf
Local Data Security and Privacy Protection in Cloud Service Applications.
FCST
Qi-Tao Lin, Chang-Dong Wang, Jing Pan, Lu Ling, Jian-Huang Lai
2015 — conf
Music Sharing Platform Based on Sina App Engine.
FCST
Zhe-Yi Zhao, Chang-Dong Wang, Ping-Jun Zheng, Qian Gong, Kai-Wei Huang, Jian-Huang Lai
2015 — conf
Pipeline Item-Based Collaborative Filtering Based on MapReduce.
BDCloud
Zhi-Lin Zhao, Chang-Dong Wang, Yuan-Yu Wan, Ziwei Huang, Jian-Huang Lai
2015 — conf
Research on the Intelligent Public Transportation System.
CCBR
Yingkun Huang, Shaoshu Huang, Chang-Dong Wang, Dekai Kang, Wenkai Huang
2015 — conf
Schedule Management Application 'WiDay' Based on SAE Cloud Platform.
FCST
Shuang Ye, Chang-Dong Wang, Kai-Chun Lin, Xin-Yi Lin, Xuebo Liu, Han-Chen Yu
2015 — conf
Server Consolidation Based on Hybrid Genetic Algorithm.
FCST
Juan Zha, Chang-Dong Wang, Qiu-Liang Chen, Xiao-Yan Lu, Jian-Huang Lai
2015 C conf
Traveller: A Novel Tourism Platform for Students Based on Cloud Data.
CollaborateCom
Qi-Ying Hu, Chang-Dong Wang, Jia-Xin Hong, Meng-Zhe Hua, Di Huang
2015 — conf
vPaaS Model for Amateurish Users in Cloud Computing.
FCST
Ying-Kun Huang, Chang-Dong Wang, De-Kai Kang, Chuan Jiang, Jian-Huang Lai
2014 J jnl
Combining Multiple Clusterings via Crowd Agreement Estimation and Multi-Granularity Link Analysis.
CoRR
Dong Huang, Jian-Huang Lai, Chang-Dong Wang
2014 J jnl
Multi-local model image set matching based on domain description.
Pattern Recognit.
Qing-Song Zeng, Jian-Huang Lai, Chang-Dong Wang
2014 J jnl
NEIWalk: Community Discovery in Dynamic Content-Based Networks.
IEEE Trans. Knowl. Data Eng.
Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu
2014 J jnl
Parameter estimation of the exponentially damped sinusoids signal using a specific neural network.
Neurocomputing
Xiuchun Xiao, Jian-Huang Lai, Chang-Dong Wang
2014 J jnl
Stability-based preference selection in affinity propagation.
Neural Comput. Appl.
Dong-Wei Chen, Jian-Qiang Sheng, Jun-Jie Chen, Chang-Dong Wang
2014 C conf
Topic Detection in Instant Messages.
ICMLA
Han Zhang, Chang-Dong Wang, Jian-Huang Lai
2013 — conf
A Neural Network for Parameter Estimation of the Exponentially Damped Sinusoids.
IScIDE
Xiuchun Xiao, Jian-Huang Lai, Chang-Dong Wang
2013 A conf
Dynamic Community Detection in Weighted Graph Streams.
SDM
Jian-Huang Lai, Chang-Dong Wang, Philip S. Yu
2013 — conf
Exploiting the Wisdom of Crowd: A Multi-granularity Approach to Clustering Ensemble.
IScIDE
Dong Huang, Jian-Huang Lai, Chang-Dong Wang
2013 J jnl
Multi-Exemplar Affinity Propagation.
IEEE Trans. Pattern Anal. Mach. Intell.
Chang-Dong Wang, Jian-Huang Lai, Ching Y. Suen, Jun-Yong Zhu
2013 J jnl
Position regularized Support Vector Domain Description.
Pattern Recognit.
Chang-Dong Wang, Jian-Huang Lai
2013 J jnl
SVStream: A Support Vector-Based Algorithm for Clustering Data Streams.
IEEE Trans. Knowl. Data Eng.
Chang-Dong Wang, Jian-Huang Lai, Dong Huang, Wei-Shi Zheng
2012 J jnl
A new handwritten character segmentation method based on nonlinear clustering.
Neurocomputing
Jun Tan, Jian-Huang Lai, Chang-Dong Wang, Wen-Xian Wang, Xiao-Xiong Zuo
2012 J jnl
Conscience online learning: an efficient approach for robust kernel-based clustering.
Knowl. Inf. Syst.
Chang-Dong Wang, Jian-Huang Lai, Jun-Yong Zhu
2012 J jnl
Graph-Based Multiprototype Competitive Learning and Its Applications.
IEEE Trans. Syst. Man Cybern. Part C
Chang-Dong Wang, Jian-Huang Lai, Jun-Yong Zhu
2012 B conf
Incremental support vector clustering with outlier detection.
ICPR
Dong Huang, Jian-Huang Lai, Chang-Dong Wang
2011 — conf
A Novel Co-clustering Method with Intra-similarities.
ICDM Workshops
Jian-Sheng Wu, Jian-Huang Lai, Chang-Dong Wang
2011 J jnl
Energy based competitive learning.
Neurocomputing
Chang-Dong Wang, Jian-Huang Lai
2011 — conf
Incremental Support Vector Clustering.
ICDM Workshops
Chang-Dong Wang, Jian-Huang Lai, Dong Huang
2011 — conf
Kernel-Based Clustering with Automatic Cluster Number Selection.
ICDM Workshops
Chang-Dong Wang, Jian-Huang Lai, Dong Huang
2010 A* conf
A Conscience On-line Learning Approach for Kernel-Based Clustering.
ICDM
Chang-Dong Wang, Jian-Huang Lai, Jun-Yong Zhu