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ORCIDChang-Dong Wang 0001
Changdong Wang 0001
Person information
- affiliation (PhD 2013): Sun Yat-sen University, School of Computer Science and Engineering, Guangzhou, China
Other persons with the same name
- Changdong Wang 0002
![[0000-0002-8446-5774]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-8446-5774")
— Harbin Institute of Technology, School of Electronic and Information Engineering, China (and 2 more) - Changdong Wang 0003 — State Grid Heilongjiang Power Co..Ltd., Harbin, China
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2020 – today
- 2025
[j142]Mohamad Arafeh, Ahmad Hammoud, Mohsen Guizani, Azzam Mourad, Hadi Otrok, Hakima Ould-Slimane, Zbigniew Dziong, Chang-Dong Wang, Di Wu:
WFSL: Warmup-Based Federated Sequential Learning. IEEE Internet Things J. 12(2): 1974-1989 (2025)- [j141]Zhenyu He, Jia-Qi Lin, Chang-Dong Wang, Mohsen Guizani:
Interaction-knowledge semantic alignment for recommendation. Neural Networks 181: 106755 (2025) - [j140]Xiaosha Cai, Man-Sheng Chen, Chang-Dong Wang, Haizhang Zhang:
Motif-aware curriculum learning for node classification. Neural Networks 184: 107089 (2025) - [j139]Jintang Bian, Xiaohua Xie, Chang-Dong Wang, Lingxiao Yang, Jian-Huang Lai, Feiping Nie:
Angular Reconstructive Discrete Embedding With Fusion Similarity for Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 37(1): 45-59 (2025) - [j138]Zhi-Lin Zhao, Longbing Cao, Chang-Dong Wang:
Gray Learning From Non-IID Data With Out-of-Distribution Samples. IEEE Trans. Neural Networks Learn. Syst. 36(1): 1396-1409 (2025) - [c110]Jianyang Zhai, Zi-Feng Mai, Dongyi Zheng, Chang-Dong Wang, Xiawu Zheng, Hui Li, Feidiao Yang, Yonghong Tian:
Learning Transition Patterns by Large Language Models for Sequential Recommendation. COLING 2025: 2513-2525 - 2024
- [j137]Xi Zeng, Fangyuan Lei, Chang-Dong Wang, Qing-Yun Dai:
Multi-view Heterogeneous Graph Neural Networks for Node Classification. Data Sci. Eng. 9(3): 294-308 (2024) - [j136]Xiaojun Yang, Weihao Zhao, Yuxiong Xu, Chang-Dong Wang, Bin Li, Feiping Nie:
Sparse K-means clustering algorithm with anchor graph regularization. Inf. Sci. 667: 120504 (2024) - [j135]Pei-Yuan Lai, Zhe-Rui Yang, Qing-Yun Dai, De-Zhang Liao, Chang-Dong Wang:
BiMuF: a bi-directional recommender system with multi-semantic filter for online recruitment. Knowl. Inf. Syst. 66(3): 1751-1776 (2024) - [j134]Fangyuan Lei, Jiahao Huang, Jianjian Jiang, Da Huang, Zhengming Li, Chang-Dong Wang:
Unveiling the potential of long-range dependence with mask-guided structure learning for hypergraph. Knowl. Based Syst. 284: 111254 (2024) - [j133]Guang-Yu Zhang, Dong Huang, Chang-Dong Wang:
Tensorized Incomplete Multi-view Kernel Subspace Clustering. Neural Networks 179: 106529 (2024) - [j132]Pei-Yuan Lai, Qing-Yun Dai, Yi-Hong Lu, Zeng-Hui Wang, Man-Sheng Chen, Chang-Dong Wang:
MIGP: Metapath Integrated Graph Prompt Neural Network. Neural Networks 179: 106595 (2024) - [j131]Ling Huang, Han Zou, Xiao-Dong Huang, Yuefang Gao, Yingjie Kuang, Chang-Dong Wang:
Knowledge-reinforced explainable next basket recommendation. Neural Networks 180: 106675 (2024) - [j130]Yuankun Xu, Dong Huang, Chang-Dong Wang, Jian-Huang Lai:
Deep image clustering with contrastive learning and multi-scale graph convolutional networks. Pattern Recognit. 146: 110065 (2024) - [j129]Jinghuan Lao, Dong Huang, Chang-Dong Wang, Jian-Huang Lai:
Towards Scalable Multi-View Clustering via Joint Learning of Many Bipartite Graphs. IEEE Trans. Big Data 10(1): 77-91 (2024) - [j128]Senzhang Wang, Changdong Wang, Di Jin, Shirui Pan, Philip S. Yu:
Guest Editorial TBD Special Issue on Graph Machine Learning for Recommender Systems. IEEE Trans. Big Data 10(6): 682 (2024) - [j127]Zhe-Rui Yang, Zhenyu He, Chang-Dong Wang, Jian-Huang Lai, Zhihong Tian:
Collaborative Meta-Path Modeling for Explainable Recommendation. IEEE Trans. Comput. Soc. Syst. 11(2): 1805-1815 (2024) - [j126]Zhenyu He, Chang-Dong Wang, Jinfeng Wang, Jian-Huang Lai, Yong Tang:
Community Enhanced Knowledge Graph for Recommendation. IEEE Trans. Comput. Soc. Syst. 11(5): 5789-5802 (2024) - [j125]Dong Huang, Xiaozhi Deng, Ding-Hua Chen, Zihao Wen, Weijun Sun, Chang-Dong Wang, Jian-Huang Lai:
Deep Clustering With Hybrid-Grained Contrastive and Discriminative Learning. IEEE Trans. Circuits Syst. Video Technol. 34(10): 9472-9483 (2024) - [j124]Jia-Qi Lin, Man-Sheng Chen, Chang-Dong Wang, Haizhang Zhang:
A Tensor Approach for Uncoupled Multiview Clustering. IEEE Trans. Cybern. 54(2): 1236-1249 (2024) - [j123]Si-Guo Fang, Dong Huang, Chang-Dong Wang, Yong Tang:
Joint Multi-View Unsupervised Feature Selection and Graph Learning. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 16-31 (2024) - [j122]Yue Zhang, Sirui Yang, Weitian Huang, Chang-Dong Wang, Hongmin Cai:
Unified Representation Learning for Multi-View Clustering by Between/Within View Deep Majorization. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 615-626 (2024) - [j121]Guang-Yu Zhang, Dong Huang, Chang-Dong Wang:
Unified and Tensorized Incomplete Multi-View Kernel Subspace Clustering. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1550-1566 (2024) - [j120]Dong Huang, Ding-Hua Chen, Xiangji Chen, Chang-Dong Wang, Jian-Huang Lai:
DeepCluE: Enhanced Deep Clustering via Multi-Layer Ensembles in Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1582-1594 (2024) - [j119]Ling Huang, Can-Rong Guan, Zhen-Wei Huang, Yuefang Gao, Chang-Dong Wang, C. L. Philip Chen:
Broad Recommender System: An Efficient Nonlinear Collaborative Filtering Approach. IEEE Trans. Emerg. Top. Comput. Intell. 8(4): 2843-2857 (2024) - [j118]Xiao-Kai Cao, Man-Sheng Chen, Chang-Dong Wang, Jian-Huang Lai, Qiong Huang, C. L. Philip Chen:
Dynamic Secure Multi Broad Network for Privacy Preserving of Streaming Data. IEEE Trans. Emerg. Top. Comput. Intell. 8(4): 3152-3165 (2024) - [j117]Man-Sheng Chen, Zhi-Yuan Li, Jia-Qi Lin, Chang-Dong Wang, Dong Huang:
Sparse Graph Tensor Learning for Multi-View Spectral Clustering. IEEE Trans. Emerg. Top. Comput. Intell. 8(5): 3534-3543 (2024) - [j116]Chuyuan Wei, Chuanhao Hu, Chang-Dong Wang, Shuqiang Huang:
Time-Aware Multibehavior Contrastive Learning for Social Recommendation. IEEE Trans. Ind. Informatics 20(4): 6424-6435 (2024) - [j115]Pei-Yuan Lai, Qing-Yun Dai, De-Zhang Liao, Zeng-Hui Wang, Chang-Dong Wang:
MuSAM: Mutual-Scenario-Aware Multimodal-Enhanced Representation Learning for Semantic Similarity. IEEE Trans. Ind. Informatics 20(9): 11161-11170 (2024) - [j114]Xiangmin Luo, Ziwei Chen, Da Huang, Fangyuan Lei, Chang-Dong Wang, Iman Yi Liao:
An Unsupervised Domain Adaption Method for Fault Diagnosis via Multichannel Variational Hypergraph Autoencoder. IEEE Trans. Instrum. Meas. 73: 1-16 (2024) - [j113]Guangqiang Xie, Biwei Zhong, Haoran Xu, Yang Li, Xianbiao Hu, Chang-Dong Wang:
Connectivity-preserving rendezvous in discrete-time multi-agent systems via relative neighborhood proximity graph. Trans. Inst. Meas. Control 46(4): 771-784 (2024) - [j112]Ya Li, Runxi Tan, Tianxin Lin, Qing Liu, Chang-Dong Wang, Min Chen:
ER-GET: Emotion Recognition Based on Global ECG Trajectory. IEEE J. Biomed. Health Informatics 28(9): 5201-5213 (2024) - [j111]Ting-Ting Su, Chang-Dong Wang, Wudong Xi, Jian-Huang Lai, Philip S. Yu:
Hierarchical Alignment With Polar Contrastive Learning for Next-Basket Recommendation. IEEE Trans. Knowl. Data Eng. 36(1): 199-210 (2024) - [j110]Wen-Zhi Li, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
Towards Effective and Robust Graph Contrastive Learning With Graph Autoencoding. IEEE Trans. Knowl. Data Eng. 36(2): 868-881 (2024) - [j109]Shengda Zhuo, Jin-Jie Qiu, Chang-Dong Wang, Shu-Qiang Huang:
Online Feature Selection With Varying Feature Spaces. IEEE Trans. Knowl. Data Eng. 36(9): 4806-4819 (2024) - [j108]Man-Sheng Chen, Chang-Dong Wang, Dong Huang, Jian-Huang Lai, Philip S. Yu:
Concept Factorization Based Multiview Clustering for Large-Scale Data. IEEE Trans. Knowl. Data Eng. 36(11): 5784-5796 (2024) - [j107]Guangqiang Xie, Haoran Xu, Jiyuan Xu, Shupeng Zhao, Yang Li, Chang-Dong Wang, Xianbiao Hu, Yonghong Tian:
Sequential Trajectory Data Publishing With Adaptive Grid-Based Weighted Differential Privacy. IEEE Trans. Knowl. Data Eng. 36(12): 9249-9262 (2024) - [j106]Zhiqiang Bao, Zihao Chen, Chang-Dong Wang, Wei-Shi Zheng, Zhenhua Huang, Yunwen Chen:
Post-Distillation via Neural Resuscitation. IEEE Trans. Multim. 26: 3046-3060 (2024) - [j105]Xiang-Long Li, Man-Sheng Chen, Chang-Dong Wang, Jian-Huang Lai:
Refining Graph Structure for Incomplete Multi-View Clustering. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2300-2313 (2024) - [j104]Youwei Liang, Dong Huang, Chang-Dong Wang, Philip S. Yu:
Multi-View Graph Learning by Joint Modeling of Consistency and Inconsistency. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2848-2862 (2024) - [j103]Jia-Qi Lin, Xiang-Long Li, Man-Sheng Chen, Chang-Dong Wang, Haizhang Zhang:
Incomplete Data Meets Uncoupled Case: A Challenging Task of Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8097-8110 (2024) - [j102]Si-Guo Fang, Dong Huang, Xiaosha Cai, Chang-Dong Wang, Chaobo He, Yong Tang:
Efficient Multi-View Clustering via Unified and Discrete Bipartite Graph Learning. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11436-11447 (2024) - [j101]Xunxun Wu, Chang-Dong Wang, Jia-Qi Lin, Wudong Xi, Philip S. Yu:
Motif-Based Contrastive Learning for Community Detection. IEEE Trans. Neural Networks Learn. Syst. 35(9): 11706-11719 (2024) - [j100]Guangqiang Xie, Haoran Xu, Yang Li, Chang-Dong Wang, Biwei Zhong, Xianbiao Hu:
Consensus Seeking in Large-Scale Multiagent Systems With Hierarchical Switching-Backbone Topology. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15810-15824 (2024) - [j99]Jianbin Xiong, Zhenhao Zhang, Changdong Wang, Jian Cen, Qi Wang, Jinji Nie:
Pupil localization algorithm based on lightweight convolutional neural network. Vis. Comput. 40(11): 8055-8071 (2024) - [c109]Kai-Huang Lai, Zhe-Rui Yang, Pei-Yuan Lai, Chang-Dong Wang, Mohsen Guizani, Min Chen:
Knowledge-Aware Explainable Reciprocal Recommendation. AAAI 2024: 8636-8644 - [c108]Cheng Li, Pei-Yuan Lai, Yi-Hong Lu, De-Zhang Liao, Xiao-Dong Huang, Chang-Dong Wang:
GPSR: Graph Prompt for Session-Based Recommendation. DASFAA (6) 2024: 203-219 - [c107]Pei-Yuan Lai, Yu-Xuan Zhou, Cheng Li, Shi-Yu Liu, Xiao-Dong Liao, De-Zhang Liao, Chang-Dong Wang:
OR3S: Organized R&D Resource Recommendation System Based on Task-Driven and Knowledge Graph Pre-training. DASFAA (7) 2024: 443-446 - [c106]Latif U. Khan, Mohsen Guizani, Chang-Dong Wang, Di Wu:
Resource Optimized Network Virtualization Empowered Metaverse for Wireless Networks. ICC 2024: 4251-4256 - [c105]Man-Sheng Chen, Xiaosha Cai, Chang-Dong Wang, Dong Huang, Min Chen, Mohsen Guizani:
HomoMGC: Homophily-Enhanced Adaptive Graph Refinement for Multi-View Graph Clustering. ICDM 2024: 61-70 - [c104]Kai-Huang Lai, Wu-Dong Xi, Xing-Xing Xing, Wei Wan, Chang-Dong Wang, Min Chen, Mohsen Guizani:
RecCoder: Reformulating Sequential Recommendation as Large Language Model-Based Code Completion. ICDM 2024: 191-200 - [c103]Fei-Yao Liang, Wu-Dong Xi, Xing-Xing Xing, Wei Wan, Chang-Dong Wang, Min Chen, Mohsen Guizani:
Contrastive Learning for Adapting Language Model to Sequential Recommendation. ICDM 2024: 251-260 - [c102]Liang-Chen Ma, Ya Li, Zi-Feng Mai, Fei-Yao Liang, Chang-Dong Wang, Min Chen, Mohsen Guizani:
Cross-Store Next-Basket Recommendation. ICDM 2024: 301-310 - [c101]Ru-Bin Li, Man-Sheng Chen, Xin-Yu Ding, Changdong Wang, Sihong Xie, Shuangyin Liu, Min Chen, Mohsen Guizani:
Periodic Prompt on Dynamic Heterogeneous Graph for Next Basket Recommendation. ICDM 2024: 747-752 - [c100]Yan-Di Huang, Guang-Yu Zhang, Dong Huang, Chang-Dong Wang, Yang Liu, Enbo Huang:
Confidence-oriented Contrastive Graph Clustering. IJCNN 2024: 1-8 - [c99]Cheng Li, Pei-Yuan Lai, Yu-Xuan Zhou, Chang-Dong Wang:
Temporal Hierarchical Graph Attention Network for Traffic Prediction with Prompt Learning. IWCMC 2024: 1460-1465 - [c98]Mohamad Wazzeh, Ahmad Hammoud, Mohsen Guizani, Azzam Mourad, Hadi Otrok, Chamseddine Talhi, Zbigniew Dziong, Chang-Dong Wang:
Resource-Aware Split Federated Learning for Fall Detection in the Metaverse. WiMob 2024: 626-631 - [i40]Zhe-Rui Yang, Jindong Han, Chang-Dong Wang, Hao Liu:
GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning. CoRR abs/2409.16670 (2024) - [i39]Zhe-Rui Yang, Jindong Han, Chang-Dong Wang, Hao Liu:
Erase then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning. CoRR abs/2409.16684 (2024) - [i38]Xiao-Kai Cao, Wenjin Mo, Chang-Dong Wang, Jian-Huang Lai, Qiong Huang:
Can Encrypted Images Still Train Neural Networks? Investigating Image Information and Random Vortex Transformation. CoRR abs/2411.16207 (2024) - [i37]Xiao-Kai Cao, Wenjin Mo, Zhenyu He, Changdong Wang:
PRSI: Privacy-Preserving Recommendation Model Based on Vector Splitting and Interactive Protocols. CoRR abs/2411.18653 (2024) - 2023
- [j98]Guangqiang Xie, Haoran Xu, Yang Li, Xianbiao Hu, Chang-Dong Wang:
Consensus enhancement for multi-agent systems with rotating-segmentation perception. Appl. Intell. 53(5): 5750-5765 (2023) - [j97]Zhi-Yuan Li, Man-Sheng Chen, Yuefang Gao, Chang-Dong Wang:
Signal Contrastive Enhanced Graph Collaborative Filtering for Recommendation. Data Sci. Eng. 8(3): 318-328 (2023) - [j96]Hua-Bao Ling, Dong Huang, Jinrong Cui, Chang-Dong Wang:
HOLT-Net: Detecting smokers via human-object interaction with lite transformer network. Eng. Appl. Artif. Intell. 126: 106919 (2023) - [j95]Xiaosha Cai, Dong Huang, Guang-Yu Zhang, Chang-Dong Wang:
Seeking commonness and inconsistencies: A jointly smoothed approach to multi-view subspace clustering. Inf. Fusion 91: 364-375 (2023) - [j94]Guang-Yu Zhang, Dong Huang, Chang-Dong Wang:
Facilitated low-rank multi-view subspace clustering. Knowl. Based Syst. 260: 110141 (2023) - [j93]Chao Chang, Junming Zhou, Yu Weng, Xiangwei Zeng, Zhengyang Wu, Chang-Dong Wang, Yong Tang:
KGTN: Knowledge Graph Transformer Network for explainable multi-category item recommendation. Knowl. Based Syst. 278: 110854 (2023) - [j92]Xiaozhi Deng, Dong Huang, Chang-Dong Wang:
Heterogeneous Tri-stream Clustering Network. Neural Process. Lett. 55(5): 6533-6546 (2023) - [j91]Ying Zhong, Dong Huang, Chang-Dong Wang:
Deep Temporal Contrastive Clustering. Neural Process. Lett. 55(6): 7869-7885 (2023) - [j90]Xiaozhi Deng, Dong Huang, Ding-Hua Chen, Chang-Dong Wang, Jian-Huang Lai:
Strongly augmented contrastive clustering. Pattern Recognit. 139: 109470 (2023) - [j89]Chao Chang, Yong Tang, Yongxu Long, Kun Hu, Ying Li, Jianguo Li, Chang-Dong Wang:
Multi-Information Preprocessing Event Extraction With BiLSTM-CRF Attention for Academic Knowledge Graph Construction. IEEE Trans. Comput. Soc. Syst. 10(5): 2713-2724 (2023) - [j88]Ling Huang, Chang-Dong Wang, Philip S. Yu:
Higher Order Connection Enhanced Community Detection in Adversarial Multiview Networks. IEEE Trans. Cybern. 53(5): 3060-3074 (2023) - [j87]Xiao-Kai Cao, Chang-Dong Wang, Jian-Huang Lai, Qiong Huang, C. L. Philip Chen:
Multiparty Secure Broad Learning System for Privacy Preserving. IEEE Trans. Cybern. 53(10): 6636-6648 (2023) - [j86]Yan-Hui Chen, Ling Huang, Chang-Dong Wang, Min Fu, Shu-Qiang Huang, Jianyi Huang, Youwei Tan, Chenfan Yan:
Adversarial Spam Detector With Character Similarity Network. IEEE Trans. Ind. Informatics 19(3): 2541-2551 (2023) - [j85]Chang-Dong Wang, Xi-Ran Zhu, Xueqing Zhou, Jiahong Li, Liping Lan, Dong Huang, Yiqing Zheng, Yue-Xin Cai:
Cross-Subject Tinnitus Diagnosis Based on Multi-Band EEG Contrastive Representation Learning. IEEE J. Biomed. Health Informatics 27(7): 3187-3197 (2023) - [j84]Man-Sheng Chen, Chang-Dong Wang, Jian-Huang Lai:
Low-Rank Tensor Based Proximity Learning for Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 35(5): 5076-5090 (2023) - [j83]Lei Xu, Zhenyu He, Kai Wang, Chang-Dong Wang, Shu-Qiang Huang:
Explicit Message-Passing Heterogeneous Graph Neural Network. IEEE Trans. Knowl. Data Eng. 35(7): 6916-6929 (2023) - [j82]Dong Huang, Chang-Dong Wang, Jian-Huang Lai:
Fast Multi-View Clustering Via Ensembles: Towards Scalability, Superiority, and Simplicity. IEEE Trans. Knowl. Data Eng. 35(11): 11388-11402 (2023) - [j81]Ling Huang, Ye Zhu, Yuefang Gao, Tuo Liu, Chao Chang, Caixing Liu, Yong Tang, Chang-Dong Wang:
Hybrid-Order Anomaly Detection on Attributed Networks. IEEE Trans. Knowl. Data Eng. 35(12): 12249-12263 (2023) - [j80]Bao-Yu Liu, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
Multiview Clustering via Proximity Learning in Latent Representation Space. IEEE Trans. Neural Networks Learn. Syst. 34(2): 973-986 (2023) - [j79]Pengfei Jiao, Tianpeng Li, Huaming Wu, Chang-Dong Wang, Dongxiao He, Wenjun Wang:
HB-DSBM: Modeling the Dynamic Complex Networks From Community Level to Node Level. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8310-8323 (2023) - [j78]Zhi-Hong Deng, Chang-Dong Wang, Ling Huang, Jian-Huang Lai, Philip S. Yu:
G3SR: Global Graph Guided Session-Based Recommendation. IEEE Trans. Neural Networks Learn. Syst. 34(12): 9671-9684 (2023) - [c97]Haijun Zhao, Ronghai Xu, Chang-Dong Wang, Ying Jiang:
ProtoMix: Learnable Data Augmentation on Few-Shot Features with Vector Quantization in CTR Prediction. ADMA (1) 2023: 709-723 - [c96]Ronghai Xu, Haijun Zhao, Zhi-Yuan Li, Chang-Dong Wang:
ALGCN: Accelerated Light Graph Convolution Network for Recommendation. DASFAA (2) 2023: 221-236 - [c95]Kang Li, Wu-Dong Xi, Xing-Xing Xing, Chang-Dong Wang:
Hypergraph Attribute Attention Network for Community Recommendation. ICDM 2023: 269-278 - [c94]Xiang-Long Li, Wu-Dong Xi, Xing-Xing Xing, Chang-Dong Wang:
Auto Graph Filtering for Bundle Recommendation. ICDM 2023: 299-308 - [c93]Fei-Yao Liang, Fei-Peng Li, Ronghai Xu, Wei Cheng, Shi-Xian Deng, Zhe-Rui Yang, Chang-Dong Wang:
Telecom Fraud Detection Based on Feature Binning and Autoencoder. ICDM 2023: 368-377 - [c92]Yi-Hong Lu, Chang-Dong Wang, Pei-Yuan Lai, Jian-Huang Lai:
PKAT: Pre-training in Collaborative Knowledge Graph Attention Network for Recommendation. ICDM 2023: 448-457 - [c91]Ting-Ting Su, Wu-Dong Xi, Xing-Xing Xing, Chang-Dong Wang:
MCRec: Multi-channel Gated Gifts Recommendation. ICDM 2023: 548-557 - [c90]Wen-Zhi Li, Chang-Dong Wang, Hui Xiong, Jian-Huang Lai:
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification. KDD 2023: 1328-1340 - [c89]Wen-Zhi Li, Chang-Dong Wang, Hui Xiong, Jian-Huang Lai:
HomoGCL: Rethinking Homophily in Graph Contrastive Learning. KDD 2023: 1341-1352 - [c88]Man-Sheng Chen, Jia-Qi Lin, Chang-Dong Wang, Wudong Xi, Dong Huang:
On Regularizing Multiple Clusterings for Ensemble Clustering by Graph Tensor Learning. ACM Multimedia 2023: 3069-3077 - [c87]Jianyang Zhai, Xiawu Zheng, Chang-Dong Wang, Hui Li, Yonghong Tian:
Knowledge Prompt-tuning for Sequential Recommendation. ACM Multimedia 2023: 6451-6461 - [c86]Kang Li, Chang-Dong Wang, Jian-Huang Lai, Huaqiang Yuan:
Self-Supervised Group Graph Collaborative Filtering for Group Recommendation. WSDM 2023: 69-77 - [i36]Xiaozhi Deng, Dong Huang, Chang-Dong Wang:
Heterogeneous Tri-stream Clustering Network. CoRR abs/2301.04451 (2023) - [i35]Si-Guo Fang, Dong Huang, Chang-Dong Wang, Jian-Huang Lai:
One-step Bipartite Graph Cut: A Normalized Formulation and Its Application to Scalable Subspace Clustering. CoRR abs/2305.07386 (2023) - [i34]Wen-Zhi Li, Chang-Dong Wang, Hui Xiong, Jian-Huang Lai:
GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification. CoRR abs/2306.09612 (2023) - [i33]Wen-Zhi Li, Chang-Dong Wang, Hui Xiong, Jian-Huang Lai:
HomoGCL: Rethinking Homophily in Graph Contrastive Learning. CoRR abs/2306.09614 (2023) - [i32]Jianyang Zhai, Xiawu Zheng, Chang-Dong Wang, Hui Li, Yonghong Tian:
Knowledge Prompt-tuning for Sequential Recommendation. CoRR abs/2308.08459 (2023) - [i31]Zi-Feng Mai, Chang-Dong Wang, Zhongjie Zeng, Ya Li, Jiaquan Chen, Philip S. Yu:
Hypergraph Enhanced Knowledge Tree Prompt Learning for Next-Basket Recommendation. CoRR abs/2312.15851 (2023) - 2022
- [j77]Guang-Yu Zhang, Xiao-Wei Chen, Yu-Ren Zhou, Chang-Dong Wang, Dong Huang, Xiao-Yu He:
Kernelized multi-view subspace clustering via auto-weighted graph learning. Appl. Intell. 52(1): 716-731 (2022) - [j76]Man-Sheng Chen, Jia-Qi Lin, Xiang-Long Li, Bao-Yu Liu, Chang-Dong Wang, Dong Huang, Jian-Huang Lai:
Representation Learning in Multi-view Clustering: A Literature Review. Data Sci. Eng. 7(3): 225-241 (2022) - [j75]Ling Huang, Yong Tang, Chengzhou Fu, Jinfeng Wang, Chang-Dong Wang:
GHOC: A generative model for hybrid-order community detection. Int. J. Intell. Syst. 37(11): 9055-9079 (2022) - [j74]Guangqiang Xie, Haoran Xu, Yang Li, Xianbiao Hu, Chang-Dong Wang:
Fast distributed consensus seeking in large-scale and high-density multi-agent systems with connectivity maintenance. Inf. Sci. 608: 1010-1028 (2022) - [j73]Jing Wen, Xi-Ran Zhu, Chang-Dong Wang, Zhihong Tian:
A framework for personalized recommendation with conditional generative adversarial networks. Knowl. Inf. Syst. 64(10): 2637-2660 (2022) - [j72]Ling Huang, Bi-Yi Chen, Hai-Yi Ye, Ronghua Lin, Yong Tang, Min Fu, Jianyi Huang, Chang-Dong Wang:
DIAG: A Deep Interaction-Attribute-Generation model for user-generated item recommendation. Knowl. Based Syst. 243: 108463 (2022) - [j71]Shi-Ting Zhong, Ling Huang, Chang-Dong Wang, Jianhuang Lai, Guangqiang Xie, Yang Li:
A Model-Bias Matrix Factorization Approach for Course Score Prediction. Neural Process. Lett. 54(5): 3583-3600 (2022) - [j70]Shi-Ting Zhong, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
An Autoencoder Framework With Attention Mechanism for Cross-Domain Recommendation. IEEE Trans. Cybern. 52(6): 5229-5241 (2022) - [j69]Chang-Dong Wang, Wei Shi, Ling Huang, Kun-Yu Lin, Dong Huang, Philip S. Yu:
Node Pair Information Preserving Network Embedding Based on Adversarial Networks. IEEE Trans. Cybern. 52(7): 5908-5922 (2022) - [j68]Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang, Philip S. Yu:
Multiview Subspace Clustering With Grouping Effect. IEEE Trans. Cybern. 52(8): 7655-7668 (2022) - [j67]Dong Huang, Chang-Dong Wang, Jian-Huang Lai, Chee Keong Kwoh:
Toward Multidiversified Ensemble Clustering of High-Dimensional Data: From Subspaces to Metrics and Beyond. IEEE Trans. Cybern. 52(11): 12231-12244 (2022) - [j66]Jianbin Xiong, Chunlin Li, Chang-Dong Wang, Jian Cen, Qi Wang, Shuize Wang:
Application of Convolutional Neural Network and Data Preprocessing by Mutual Dimensionless and Similar Gram Matrix in Fault Diagnosis. IEEE Trans. Ind. Informatics 18(2): 1061-1071 (2022) - [j65]Yan-Hui Chen, Ling Huang, Chang-Dong Wang, Jian-Huang Lai:
Hybrid-Order Gated Graph Neural Network for Session-Based Recommendation. IEEE Trans. Ind. Informatics 18(3): 1458-1467 (2022) - [j64]Chang-Dong Wang, Wu-Dong Xi, Ling Huang, Yin-Yu Zheng, Zi-Yuan Hu, Jian-Huang Lai:
A BP Neural Network Based Recommender Framework With Attention Mechanism. IEEE Trans. Knowl. Data Eng. 34(7): 3029-3043 (2022) - [j63]Bao-Yu Liu, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
Multi-View Consensus Proximity Learning for Clustering. IEEE Trans. Knowl. Data Eng. 34(7): 3405-3417 (2022) - [j62]Wu-Dong Xi, Ling Huang, Chang-Dong Wang, Yin-Yu Zheng, Jian-Huang Lai:
Deep Rating and Review Neural Network for Item Recommendation. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6726-6736 (2022) - [j61]Chang-Dong Wang, Yan-Hui Chen, Wu-Dong Xi, Ling Huang, Guangqiang Xie:
Cross-Domain Explicit-Implicit-Mixed Collaborative Filtering Neural Network. IEEE Trans. Syst. Man Cybern. Syst. 52(11): 6983-6997 (2022) - [c85]Ding-Hua Chen, Dong Huang, Haiyan Cheng, Chang-Dong Wang:
D-TRACE: Deep Triply-Aligned Clustering. ICANN (1) 2022: 526-537 - [c84]Zhe-Rui Yang, Zhenyu He, Chang-Dong Wang, Pei-Yuan Lai, De-Zhang Liao, Zhong-Zheng Wang:
A Bi-directional Recommender System for Online Recruitment. ICDM 2022: 628-637 - [c83]Man-Sheng Chen, Chang-Dong Wang, Dong Huang, Jian-Huang Lai, Philip S. Yu:
Efficient Orthogonal Multi-view Subspace Clustering. KDD 2022: 127-135 - [c82]Man-Sheng Chen, Tuo Liu, Chang-Dong Wang, Dong Huang, Jian-Huang Lai:
Adaptively-weighted Integral Space for Fast Multiview Clustering. ACM Multimedia 2022: 3774-3782 - [c81]Ting-Ting Su, Zhenyu He, Man-Sheng Chen, Chang-Dong Wang:
Basket Booster for Prototype-based Contrastive Learning in Next Basket Recommendation. ECML/PKDD (1) 2022: 574-589 - [c80]Man-Sheng Chen, Chang-Dong Wang, Dong Huang, Jian-Huang Lai:
Coupled Learning for Kernel Representation and Graph Tensor in Multi-view Subspace Clustering. PRCV (2) 2022: 601-613 - [e2]Xiangke Liao, Wei Zhao, Enhong Chen, Nong Xiao, Li Wang, Yang Gao, Yinghuan Shi, Changdong Wang, Dan Huang:
Big Data - 9th CCF Conference, BigData 2021, Guangzhou, China, January 8-10, 2022, Revised Selected Papers. Communications in Computer and Information Science 1496, Springer 2022, ISBN 978-981-16-9708-1 [contents] - [i30]Zhi-Hong Deng, Chang-Dong Wang, Ling Huang, Jian-Huang Lai, Philip S. Yu:
G3SR: Global Graph Guided Session-based Recommendation. CoRR abs/2203.06467 (2022) - [i29]Xiaosha Cai, Dong Huang, Guang-Yu Zhang, Chang-Dong Wang:
Seeking Commonness and Inconsistencies: A Jointly Smoothed Approach to Multi-view Subspace Clustering. CoRR abs/2203.08060 (2022) - [i28]Dong Huang, Chang-Dong Wang, Jian-Huang Lai:
Fast Multi-view Clustering via Ensembles: Towards Scalability, Superiority, and Simplicity. CoRR abs/2203.11572 (2022) - [i27]Si-Guo Fang, Dong Huang, Chang-Dong Wang, Yong Tang:
Joint Multi-view Unsupervised Feature Selection and Graph Learning. CoRR abs/2204.08247 (2022) - [i26]Ling Huang, Can-Rong Guan, Zhen-Wei Huang, Yuefang Gao, Yingjie Kuang, Chang-Dong Wang, C. L. Philip Chen:
Broad Recommender System: An Efficient Nonlinear Collaborative Filtering Approach. CoRR abs/2204.11602 (2022) - [i25]Dong Huang, Ding-Hua Chen, Xiangji Chen, Chang-Dong Wang, Jian-Huang Lai:
DeepCluE: Enhanced Image Clustering via Multi-layer Ensembles in Deep Neural Networks. CoRR abs/2206.00359 (2022) - [i24]Xiaozhi Deng, Dong Huang, Ding-Hua Chen, Chang-Dong Wang, Jian-Huang Lai:
Strongly Augmented Contrastive Clustering. CoRR abs/2206.00380 (2022) - [i23]Zhilin Zhao, Longbing Cao, Chang-Dong Wang:
Gray Learning from Non-IID Data with Out-of-distribution Samples. CoRR abs/2206.09375 (2022) - [i22]Xiao-Kai Cao, Chang-Dong Wang, Jian-Huang Lai, Qiong Huang, C. L. Philip Chen:
Multi-party Secure Broad Learning System for Privacy Preserving. CoRR abs/2206.11133 (2022) - [i21]Hua-Bao Ling, Bowen Zhu, Dong Huang, Ding-Hua Chen, Chang-Dong Wang, Jian-Huang Lai:
Vision Transformer for Contrastive Clustering. CoRR abs/2206.12925 (2022) - [i20]Yuankun Xu, Dong Huang, Chang-Dong Wang, Jian-Huang Lai:
Image Clustering with Contrastive Learning and Multi-scale Graph Convolutional Networks. CoRR abs/2207.07173 (2022) - [i19]Man-Sheng Chen, Tuo Liu, Chang-Dong Wang, Dong Huang, Jian-Huang Lai:
Adaptively-weighted Integral Space for Fast Multiview Clustering. CoRR abs/2208.12808 (2022) - [i18]Si-Guo Fang, Dong Huang, Xiaosha Cai, Chang-Dong Wang, Chaobo He, Yong Tang:
Efficient Multi-view Clustering via Unified and Discrete Bipartite Graph Learning. CoRR abs/2209.04187 (2022) - [i17]Jia-Qi Lin, Man-Sheng Chen, Xi-Ran Zhu, Chang-Dong Wang, Haizhang Zhang:
Dual Information Enhanced Multi-view Attributed Graph Clustering. CoRR abs/2211.14987 (2022) - [i16]Ying Zhong, Dong Huang, Chang-Dong Wang:
Deep Temporal Contrastive Clustering. CoRR abs/2212.14366 (2022) - 2021
- [j60]Guang-Yu Zhang, Yu-Ren Zhou, Chang-Dong Wang, Dong Huang, Xiaoyu He:
Joint representation learning for multi-view subspace clustering. Expert Syst. Appl. 166: 113913 (2021) - [j59]Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai:
Relaxed multi-view clustering in latent embedding space. Inf. Fusion 68: 8-21 (2021) - [j58]Ling Huang, Chang-Dong Wang, Hongyang Chao:
oComm: Overlapping Community Detection in Multi-View Brain Network. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1582-1595 (2021) - [j57]Bao-Yu Liu, Ling Huang, Chang-Dong Wang, Suohai Fan, Philip S. Yu:
Adaptively Weighted Multiview Proximity Learning for Clustering. IEEE Trans. Cybern. 51(3): 1571-1585 (2021) - [j56]Guangqiang Xie, Runpeng Zhang, Yang Li, Ling Huang, Chang-Dong Wang, Hao Yang, Jiahao Liang:
AttractRank: District Attraction Ranking Analysis Based on Taxi Big Data. IEEE Trans. Ind. Informatics 17(3): 1679-1688 (2021) - [j55]Ling Huang, Xing-Xing Liu, Shu-Qiang Huang, Chang-Dong Wang, Wei Tu, Jia-Meng Xie, Shuai Tang, Wendi Xie:
Temporal Hierarchical Graph Attention Network for Traffic Prediction. ACM Trans. Intell. Syst. Technol. 12(6): 68:1-68:21 (2021) - [j54]Juan-Hui Li, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai, Pei Chen:
Attributed Network Embedding with Micro-Meso Structure. ACM Trans. Knowl. Discov. Data 15(4): 72:1-72:26 (2021) - [j53]Ling Huang, Chang-Dong Wang, Hongyang Chao:
HM-Modularity: A Harmonic Motif Modularity Approach for Multi-Layer Network Community Detection. IEEE Trans. Knowl. Data Eng. 33(6): 2520-2533 (2021) - [j52]Chang-Dong Wang, Man-Sheng Chen, Ling Huang, Jian-Huang Lai, Philip S. Yu:
Smoothness Regularized Multiview Subspace Clustering With Kernel Learning. IEEE Trans. Neural Networks Learn. Syst. 32(11): 5047-5060 (2021) - [j51]Dong Huang, Chang-Dong Wang, Hongxing Peng, Jianhuang Lai, Chee-Keong Kwoh:
Enhanced Ensemble Clustering via Fast Propagation of Cluster-Wise Similarities. IEEE Trans. Syst. Man Cybern. Syst. 51(1): 508-520 (2021) - [j50]Xiuchun Xiao, Neal N. Xiong, Jianhuang Lai, Chang-Dong Wang, Zhenan Sun, Jingwen Yan:
A Local Consensus Index Scheme for Random-Valued Impulse Noise Detection Systems. IEEE Trans. Syst. Man Cybern. Syst. 51(6): 3412-3428 (2021) - [c79]Xunxun Wu, Chang-Dong Wang, Pengfei Jiao:
Hybrid-order Stochastic Block Model. AAAI 2021: 4470-4477 - [c78]Guang-Yu Zhang, Xiao-Wei Chen, Yu-Ren Zhou, Chang-Dong Wang, Dong Huang:
Consistency- and Inconsistency-Aware Multi-view Subspace Clustering. DASFAA (2) 2021: 291-306 - [c77]Jing Wen, Bi-Yi Chen, Chang-Dong Wang, Zhihong Tian:
PRGAN: Personalized Recommendation with Conditional Generative Adversarial Networks. ICDM 2021: 729-738 - [c76]Wen-Zhi Li, Ling Huang, Chang-Dong Wang, Yuxin Ye:
StarGAT: Star-Shaped Hierarchical Graph Attentional Network for Heterogeneous Network Representation Learning. ICDM 2021: 1198-1203 - [c75]Xing-Xing Liu, Kai Wang, Chang-Dong Wang, Ling Huang:
Attention-based Multi-proximity Preserved Attributed Network Embedding. IJCNN 2021: 1-8 - [c74]Lei Xu, Wu-Dong Xi, Chang-Dong Wang:
Session-based Recommendation with Heterogeneous Graph Neural Networks. IJCNN 2021: 1-8 - [i15]Zi-Yuan Hu, Jin Huang, Zhi-Hong Deng, Chang-Dong Wang, Ling Huang, Jian-Huang Lai, Philip S. Yu:
BCFNet: A Balanced Collaborative Filtering Network with Attention Mechanism. CoRR abs/2103.06105 (2021) - 2020
- [j49]Guang-Yu Zhang, Yu-Ren Zhou, Xiaoyu He, Chang-Dong Wang, Dong Huang:
One-step Kernel Multi-view Subspace Clustering. Knowl. Based Syst. 189 (2020) - [j48]Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Dong Huang:
Community Detection by Motif-Aware Label Propagation. ACM Trans. Knowl. Discov. Data 14(2): 22:1-22:19 (2020) - [j47]Dong Huang, Chang-Dong Wang, Jian-Sheng Wu, Jian-Huang Lai, Chee-Keong Kwoh:
Ultra-Scalable Spectral Clustering and Ensemble Clustering. IEEE Trans. Knowl. Data Eng. 32(6): 1212-1226 (2020) - [j46]Ling Huang, Chang-Dong Wang, Hongyang Chao, Philip S. Yu:
MVStream: Multiview Data Stream Clustering. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3482-3496 (2020) - [c73]Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang:
Multi-View Clustering in Latent Embedding Space. AAAI 2020: 3513-3520 - [c72]Huidi Chen, Yun Xiong, Changdong Wang, Yangyong Zhu, Wei Wang:
SpEC: Sparse Embedding-Based Community Detection in Attributed Graphs. DASFAA (3) 2020: 53-69 - [c71]Heng-Ping He, Pei-Zhen Li, Ling Huang, Yu-Xuan Ji, Chang-Dong Wang:
Latent Space Clustering via Dual Discriminator GAN. DASFAA (1) 2020: 671-679 - [c70]Juan-Hui Li, Yao Ma, Yiqi Wang, Charu C. Aggarwal, Chang-Dong Wang, Jiliang Tang:
Graph Pooling with Representativeness. ICDM 2020: 302-311 - [c69]Xiaosha Cai, Dong Huang, Chang-Dong Wang, Chee-Keong Kwoh:
Spectral Clustering by Subspace Randomization and Graph Fusion for High-Dimensional Data. PAKDD (1) 2020: 330-342 - [e1]Xiaochun Yang, Chang-Dong Wang, Md. Saiful Islam, Zheng Zhang:
Advanced Data Mining and Applications - 16th International Conference, ADMA 2020, Foshan, China, November 12-14, 2020, Proceedings. Lecture Notes in Computer Science 12447, Springer 2020, ISBN 978-3-030-65389-7 [contents] - [i14]Youwei Liang, Dong Huang, Chang-Dong Wang, Philip S. Yu:
Multi-view Graph Learning by Joint Modeling of Consistency and Inconsistency. CoRR abs/2008.10208 (2020)
2010 – 2019
- 2019
- [j45]Ling Huang, Chang-Dong Wang, Hong-Yang Chao, Jian-Huang Lai, Philip S. Yu:
A Score Prediction Approach for Optional Course Recommendation via Cross-User-Domain Collaborative Filtering. IEEE Access 7: 19550-19563 (2019) - [j44]Wei Shi, Ling Huang, Chang-Dong Wang, Juan-Hui Li, Yong Tang, Chengzhou Fu:
Network Embedding via Community Based Variational Autoencoder. IEEE Access 7: 25323-25333 (2019) - [j43]Juan-Hui Li, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai:
PartNRL: Partial Nodes Representation Learning in Large-Scale Network. IEEE Access 7: 56457-56468 (2019) - [j42]Kai Wang, Lei Xu, Ling Huang, Chang-Dong Wang, Yong Tang, Chengzhou Fu:
Inter-Intra Information Preserving Attributed Network Embedding. IEEE Access 7: 79463-79476 (2019) - [j41]Guangqiang Xie, Tianxiang Lan, Xianbiao Hu, Yang Li, Chang-Dong Wang, Yuyu Yin:
A Distributed Consensus Protocol Based on Neighbor Selection Strategies for Multi-Agent Systems Convergence. IEEE Access 7: 132937-132949 (2019) - [j40]Kai Wang, Lei Xu, Ling Huang, Chang-Dong Wang, Jian-Huang Lai:
SDDRS: Stacked Discriminative Denoising Auto-Encoder based Recommender System. Cogn. Syst. Res. 55: 164-174 (2019) - [j39]Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Chuan Li, Jian-Huang Lai:
Brain network analysis for auditory disease: A twofold study. Neurocomputing 347: 230-239 (2019) - [j38]Ling Huang, Zhi-Lin Zhao, Chang-Dong Wang, Dong Huang, Hong-Yang Chao:
LSCD: Low-rank and sparse cross-domain recommendation. Neurocomputing 366: 86-96 (2019) - [j37]Yi-Ming Wen, Ling Huang, Chang-Dong Wang, Kun-Yu Lin:
Direction recovery in undirected social networks based on community structure and popularity. Inf. Sci. 473: 31-43 (2019) - [j36]Han Zhang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
Community detection using multilayer edge mixture model. Knowl. Inf. Syst. 60(2): 757-779 (2019) - [j35]Qi-Ying Hu, Ling Huang, Chang-Dong Wang, Hong-Yang Chao:
Item orientated recommendation by multi-view intact space learning with overlapping. Knowl. Based Syst. 164: 358-370 (2019) - [j34]Fan Deng, Liyong Zhang, Changyu Zhang, Hao Ban, Chang-Dong Wang, Minghao Shi, Chao Chen, Enti Zhang:
Establishment of rule dictionary for efficient XACML policy management. Knowl. Based Syst. 175: 26-35 (2019) - [j33]Dong Huang, Xiaosha Cai, Chang-Dong Wang:
Unsupervised feature selection with multi-subspace randomization and collaboration. Knowl. Based Syst. 182 (2019) - [j32]Zhi-Ran Sun, Yue-Xin Cai, Shao-Ju Wang, Chang-Dong Wang, Yi-Qing Zheng, Yan-Hong Chen, Yu-Chen Chen:
Multi-View Intact Space Learning for Tinnitus Classification in Resting State EEG. Neural Process. Lett. 49(2): 611-624 (2019) - [j31]Pei-Zhen Li, Yue-Xin Cai, Chang-Dong Wang, Mao-Jin Liang, Yi-Qing Zheng:
Higher-Order Brain Network Analysis for Auditory Disease. Neural Process. Lett. 49(3): 879-897 (2019) - [j30]Ling Huang, Hong-Yang Chao, Chang-Dong Wang:
Multi-view intact space clustering. Pattern Recognit. 86: 344-353 (2019) - [j29]Chang-Dong Wang, Zhi-Hong Deng, Jian-Huang Lai, Philip S. Yu:
Serendipitous Recommendation in E-Commerce Using Innovator-Based Collaborative Filtering. IEEE Trans. Cybern. 49(7): 2678-2692 (2019) - [c68]Zhi-Hong Deng, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System. AAAI 2019: 61-68 - [c67]Ling Huang, Chang-Dong Wang, Hong-Yang Chao:
Higher-Order Multi-Layer Community Detection. AAAI 2019: 9945-9946 - [c66]Zi-Hua Li, Ling Huang, Kai Wang, Chang-Dong Wang, Wei Shi, Dong Huang:
Network embedding with class discriminability. ACM TUR-C 2019: 52:1-52:5 - [c65]He Huang, Changhu Wang, Philip S. Yu, Chang-Dong Wang:
Generative Dual Adversarial Network for Generalized Zero-Shot Learning. CVPR 2019: 801-810 - [c64]Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang:
Multi-view Spectral Clustering via Multi-view Weighted Consensus and Matrix-Decomposition Based Discretization. DASFAA (1) 2019: 175-190 - [c63]Weixin Zeng, Xiang Zhao, Jiuyang Tang, Jinzhi Liao, Chang-Dong Wang:
Relevance-Based Entity Embedding. DASFAA (3) 2019: 300-304 - [c62]Yu-Xuan Ji, Ling Huang, Heng-Ping He, Chang-Dong Wang, Guangqiang Xie, Wei Shi, Kun-Yu Lin:
Multi-view Outlier Detection in Deep Intact Space. ICDM 2019: 1132-1137 - [c61]Youwei Liang, Dong Huang, Chang-Dong Wang:
Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering. ICDM 2019: 1204-1209 - [c60]Shi-Ting Zhong, Ling Huang, Chang-Dong Wang, Jian-Huang Lai:
Constrained Matrix Factorization for Course Score Prediction. ICDM 2019: 1510-1515 - [c59]Wu-Dong Xi, Ling Huang, Chang-Dong Wang, Yin-Yu Zheng, Jianhuang Lai:
BPAM: Recommendation Based on BP Neural Network with Attention Mechanism. IJCAI 2019: 3905-3911 - [c58]Yongwei Tan, Ling Huang, Chang-Dong Wang:
A Dynamic Model + BFR Algorithm for Streaming Data Sorting. IScIDE (2) 2019: 406-417 - [c57]Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Jian-Huang Lai:
EdMot: An Edge Enhancement Approach for Motif-aware Community Detection. KDD 2019: 479-487 - [i13]Zhi-Hong Deng, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System. CoRR abs/1901.04704 (2019) - [i12]Dong Huang, Chang-Dong Wang, Jian-Sheng Wu, Jian-Huang Lai, Chee-Keong Kwoh:
Ultra-Scalable Spectral Clustering and Ensemble Clustering. CoRR abs/1903.01057 (2019) - [i11]Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Jian-Huang Lai:
EdMot: An Edge Enhancement Approach for Motif-aware Community Detection. CoRR abs/1906.04560 (2019) - 2018
- [j28]Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai:
Community Detection Using Attribute Homogenous Motif. IEEE Access 6: 47707-47716 (2018) - [j27]Guang-Yu Zhang, Chang-Dong Wang, Dong Huang, Wei-Shi Zheng, Yu-Ren Zhou:
TW-Co-k-means: Two-level weighted collaborative k-means for multi-view clustering. Knowl. Based Syst. 150: 127-138 (2018) - [j26]Yikun Qin, Zhu Liang Yu, Chang-Dong Wang, Zhenghui Gu, Yuanqing Li:
A Novel clustering method based on hybrid K-nearest-neighbor graph. Pattern Recognit. 74: 1-14 (2018) - [j25]Juan-Hui Li, Chang-Dong Wang, Pei-Zhen Li, Jian-Huang Lai:
Discriminative metric learning for multi-view graph partitioning. Pattern Recognit. 75: 199-213 (2018) - [j24]Dong Huang, Chang-Dong Wang, Jian-Huang Lai:
Locally Weighted Ensemble Clustering. IEEE Trans. Cybern. 48(5): 1460-1473 (2018) - [c56]Ling Huang, Chang-Dong Wang, Hong-Yang Chao:
Overlapping Community Detection in Multi-view Brain Network. BIBM 2018: 655-658 - [c55]Juan-Hui Li, Chang-Dong Wang, Ling Huang, Dong Huang, Jian-Huang Lai, Pei Chen:
Attributed Network Embedding with Micro-meso Structure. DASFAA (1) 2018: 20-36 - [c54]Zhi-Lin Zhao, Ling Huang, Chang-Dong Wang, Dong Huang:
Low-Rank and Sparse Cross-Domain Recommendation Algorithm. DASFAA (1) 2018: 150-157 - [c53]Kun-Yu Lin, Ling Huang, Chang-Dong Wang, Hong-Yang Chao:
Multi-view Proximity Learning for Clustering. DASFAA (2) 2018: 407-423 - [c52]Yi-Ming Wen, Chang-Dong Wang, Kun-Yu Lin:
Direction Recovery in Undirected Social Networks Based on Community Structure and Popularity. DASFAA (1) 2018: 529-537 - [c51]He Huang, Bokai Cao, Philip S. Yu, Chang-Dong Wang, Alex D. Leow:
dpMood: Exploiting Local and Periodic Typing Dynamics for Personalized Mood Prediction. ICDM 2018: 157-166 - [c50]Ling Huang, Chang-Dong Wang, Hong-Yang Chao:
A Harmonic Motif Modularity Approach for Multi-layer Network Community Detection. ICDM 2018: 1043-1048 - [c49]Man-Sheng Chen, Dong Huang, Mingkai He, Chang-Dong Wang:
Ensemble Clustering by Noise-Aware Graph Decomposition. ICIT 2018: 184-188 - [c48]Kai Wang, Lei Xu, Ling Huang, Chang-Dong Wang, Jian-Huang Lai:
Stacked Discriminative Denoising Auto-encoder Based Recommender System. IScIDE 2018: 276-286 - [i10]He Huang, Bokai Cao, Philip S. Yu, Chang-Dong Wang, Alex D. Leow:
dpMood: Exploiting Local and Periodic Typing Dynamics for Personalized Mood Prediction. CoRR abs/1808.09852 (2018) - [i9]Dong Huang, Chang-Dong Wang, Hongxing Peng, Jianhuang Lai, Chee-Keong Kwoh:
Enhanced Ensemble Clustering via Fast Propagation of Cluster-wise Similarities. CoRR abs/1810.12544 (2018) - [i8]He Huang, Changhu Wang, Philip S. Yu, Chang-Dong Wang:
Generative Dual Adversarial Network for Generalized Zero-shot Learning. CoRR abs/1811.04857 (2018) - 2017
- [j23]Zhi-Lin Zhao, Chang-Dong Wang, Yuan-Yu Wan, Jian-Huang Lai:
Recommendation in feature space sphere. Electron. Commer. Res. Appl. 26: 109-118 (2017) - [j22]Guang-Yu Zhang, Chang-Dong Wang, Dong Huang, Wei-Shi Zheng:
Multi-view collaborative locally adaptive clustering with Minkowski metric. Expert Syst. Appl. 86: 307-320 (2017) - [j21]Chao Chen, Kun-Yu Lin, Chang-Dong Wang, Jian-Bo Liu, Dong Huang:
CCMS: A nonlinear clustering method based on crowd movement and selection. Neurocomputing 269: 120-131 (2017) - [j20]Qi-Ying Hu, Zhi-Lin Zhao, Chang-Dong Wang, Jian-Huang Lai:
An item orientated recommendation algorithm from the multi-view perspective. Neurocomputing 269: 261-272 (2017) - [c47]Ling Ling, Hong-Yang Chao, Chang-Dong Wang:
Multi-view Intact Space Clustering. ACPR 2017: 500-505 - [c46]Yu-Bo Yang, Chang-Dong Wang, Jian-Huang Lai:
A Distributed Multi-exemplar Affinity Propagation Clustering Algorithm Based on MapReduce. BigDataService 2017: 191-197 - [c45]Zhi-Lin Zhao, Chang-Dong Wang, Kun-Yu Lin, Jian-Huang Lai:
Missing Value Learning. CIKM 2017: 2427-2430 - [c44]Zhi-Lin Zhao, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
Low-Rank and Sparse Matrix Completion for Recommendation. ICONIP (5) 2017: 3-13 - [c43]Yi-Ning Xu, Lei Xu, Ling Huang, Chang-Dong Wang:
Social and Content Based Collaborative Filtering for Point-of-Interest Recommendations. ICONIP (5) 2017: 46-56 - [c42]Dong Huang, Chang-Dong Wang, Jian-Huang Lai:
LWMC: A Locally Weighted Meta-Clustering Algorithm for Ensemble Clustering. ICONIP (5) 2017: 167-176 - [c41]Xiang-Rui Peng, Ling Huang, Chang-Dong Wang:
A Hybrid Approach for Recovering Information Propagational Direction. ICONIP (5) 2017: 357-367 - [c40]Shao-Ju Wang, Yue-Xin Cai, Zhi-Ran Sun, Chang-Dong Wang, Yi-Qing Zheng:
Tinnitus EEG Classification Based on Multi-frequency Bands. ICONIP (4) 2017: 788-797 - [c39]Wen-Bin Liang, Chang-Dong Wang, Jian-Huang Lai:
Weighted numerical and categorical attribute clustering in data streams. IJCNN 2017: 3066-3072 - [c38]Qian Zuo, Chang-Dong Wang, Jian-Huang Lai:
Text clustering using enhanced PLSA with word correlation. IJCNN 2017: 3216-3223 - [c37]Man-Rui Li, Ling Huang, Chang-Dong Wang:
Geographical and Overlapping Community Modeling Based on Business Circles for POI Recommendation. IScIDE 2017: 665-675 - [c36]Mei Li, Dong Huang, Bin Wei, Chang-Dong Wang:
Event Recommendation via Collective Matrix Factorization with Event-User Neighborhood. IScIDE 2017: 676-686 - [c35]Kun-Yu Lin, Chang-Dong Wang, Yu-Qin Meng, Zhi-Lin Zhao:
Multi-view Unit Intact Space Learning. KSEM 2017: 211-223 - [c34]Yue Ding, Ling Huang, Chang-Dong Wang, Dong Huang:
Community Detection in Graph Streams by Pruning Zombie Nodes. PAKDD (1) 2017: 574-585 - [i7]Dong Huang, Chang-Dong Wang, Jian-Huang Lai, Chee-Keong Kwoh:
Toward Multi-Diversified Ensemble Clustering of High-Dimensional Data. CoRR abs/1710.03113 (2017) - 2016
- [j19]Wenkai Huang, Chang-Dong Wang, Shaoshu Huang, Zheng Li, Jian-Huang Lai, Ling Huang:
Long-term revenue maximization pricing scheme for cloud. Comput. Syst. Sci. Eng. 31(2) (2016) - [j18]Dong Huang, Jian-Huang Lai, Chang-Dong Wang, Pong C. Yuen:
Ensembling over-segmentations: From weak evidence to strong segmentation. Neurocomputing 207: 416-427 (2016) - [j17]Dong Huang, Jianhuang Lai, Chang-Dong Wang:
Ensemble clustering using factor graph. Pattern Recognit. 50: 131-142 (2016) - [j16]Yu-Meng Xu, Chang-Dong Wang, Jian-Huang Lai:
Weighted Multi-view Clustering with Feature Selection. Pattern Recognit. 53: 25-35 (2016) - [j15]Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
Multi-View Clustering Based on Belief Propagation. IEEE Trans. Knowl. Data Eng. 28(4): 1007-1021 (2016) - [j14]Dong Huang, Jian-Huang Lai, Chang-Dong Wang:
Robust Ensemble Clustering Using Probability Trajectories. IEEE Trans. Knowl. Data Eng. 28(5): 1312-1326 (2016) - [c33]Pei-Zhen Li, Juan-Hui Li, Chang-Dong Wang:
A SVM-Based EEG Signal Analysis: An Auxiliary Therapy for Tinnitus. BICS 2016: 207-219 - [c32]Da-Chuan Zhang, Mei Li, Chang-Dong Wang:
Point of interest recommendation with social and geographical influence. IEEE BigData 2016: 1070-1075 - [c31]Yao-Ming Yang, Chang-Dong Wang, Jian-Huang Lai:
An efficient parallel topic-sensitive expert finding algorithm using spark. IEEE BigData 2016: 3556-3562 - [c30]Wen-Qi Fan, Chang-Dong Wang, Jian-Huang Lai:
SDenPeak: Semi-supervised Nonlinear Clustering Based on Density and Distance. BigDataService 2016: 269-275 - [c29]Guang-Yu Zhang, Dong Huang, Chang-Dong Wang, Wei-Shi Zheng:
Weighted Multi-view On-Line Competitive Clustering. BigDataService 2016: 286-292 - [c28]Dong Huang, Chang-Dong Wang, Jian-Huang Lai, Yun Liang, Shan Bian, Yu Chen:
Ensemble-driven support vector clustering: From ensemble learning to automatic parameter estimation. ICPR 2016: 444-449 - [c27]Xun Wang, Chang-Dong Wang, Jian-Huang Lai:
Modularity optimization by Global-Local Search. IJCNN 2016: 840-846 - [c26]Zhi-Lin Zhao, Chang-Dong Wang, Yuan-Yu Wan, Jian-Huang Lai, Dong Huang:
FTMF: Recommendation in social network with Feature Transfer and Probabilistic Matrix Factorization. IJCNN 2016: 847-854 - [c25]Xiang-You Peng, Yu-Bo Yang, Chang-Dong Wang, Dong Huang, Jian-Huang Lai:
An Efficient Parallel Nonlinear Clustering Algorithm Using MapReduce. IPDPS Workshops 2016: 1473-1476 - [c24]Juan-Hui Li, Pei-Zhen Li, Chang-Dong Wang, Jian-Huang Lai:
Community Detection in Complicated Network Based on the Multi-view Weighted Signed Permanence. Trustcom/BigDataSE/ISPA 2016: 1589-1596 - [c23]Chao Chen, Kun-Yu Lin, Chang-Dong Wang, Dong Huang:
CSBD: A Nonlinear Clustering Method Based on Cluster Shrinking and Border Detection. Trustcom/BigDataSE/ISPA 2016: 2240-2245 - [c22]Zheng Li, Jianfei Yang, Juan Zha, Chang-Dong Wang, Wei-Shi Zheng:
Online visual tracking via correlation filter with convolutional networks. VCIP 2016: 1-4 - [i6]Dong Huang, Chang-Dong Wang, Jian-Huang Lai:
Locally Weighted Ensemble Clustering. CoRR abs/1605.05011 (2016) - [i5]Han Zhang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
Modularity in Complex Multilayer Networks with Multiple Aspects: A Static Perspective. CoRR abs/1605.06190 (2016) - [i4]Han Zhang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
Community Detection Using Multilayer Edge Mixture Model. CoRR abs/1605.07055 (2016) - [i3]Dong Huang, Jian-Huang Lai, Chang-Dong Wang:
Robust Ensemble Clustering Using Probability Trajectories. CoRR abs/1606.01160 (2016) - [i2]Dong Huang, Chang-Dong Wang, Jian-Huang Lai, Yun Liang, Shan Bian, Yu Chen:
Ensemble-driven support vector clustering: From ensemble learning to automatic parameter estimation. CoRR abs/1608.01198 (2016) - 2015
- [j13]Chengxu Ye, Wushao Wen, Chang-Dong Wang:
Chinese-Tibetan bilingual clustering based on random walk. Neurocomputing 158: 32-41 (2015) - [j12]Dong Huang, Jian-Huang Lai, Chang-Dong Wang:
Combining multiple clusterings via crowd agreement estimation and multi-granularity link analysis. Neurocomputing 170: 240-250 (2015) - [c21]Zhi-Lin Zhao, Chang-Dong Wang, Yuan-Yu Wan, Zi-Wei Huang, Jian-Huang Lai:
Pipeline Item-Based Collaborative Filtering Based on MapReduce. BDCloud 2015: 9-14 - [c20]Wen-Qi Fan, Chang-Dong Wang, Yuan-Wei Chen, Jian-Huang Lai:
HDenDist: Nonlinear Hierarchical Clustering Based on Density and Min-distance. BDCloud 2015: 45-50 - [c19]Yingkun Huang, Shaoshu Huang, Chang-Dong Wang, Dekai Kang, Wenkai Huang:
Research on the Intelligent Public Transportation System. CCBR 2015: 686-693 - [c18]Qi-Ying Hu, Chang-Dong Wang, Jia-Xin Hong, Meng-Zhe Hua, Di Huang:
Traveller: A Novel Tourism Platform for Students Based on Cloud Data. CollaborateCom 2015: 26-35 - [c17]Qi-Tao Lin, Chang-Dong Wang, Jing Pan, Lu Ling, Jian-Huang Lai:
Local Data Security and Privacy Protection in Cloud Service Applications. FCST 2015: 254-258 - [c16]Ying-Kun Huang, Chang-Dong Wang, De-Kai Kang, Chuan Jiang, Jian-Huang Lai:
vPaaS Model for Amateurish Users in Cloud Computing. FCST 2015: 274-279 - [c15]Shuang Ye, Chang-Dong Wang, Kai-Chun Lin, Xin-Yi Lin, Xuebo Liu, Han-Chen Yu:
Schedule Management Application 'WiDay' Based on SAE Cloud Platform. FCST 2015: 292-297 - [c14]Zhe-Yi Zhao, Chang-Dong Wang, Ping-Jun Zheng, Qian Gong, Kai-Wei Huang, Jian-Huang Lai:
Music Sharing Platform Based on Sina App Engine. FCST 2015: 298-303 - [c13]Huan Huang, Ling Huang, Chang-Dong Wang, Jie-Kai Huang, Yan-Jia Chen:
Application for Party Based on Cloud Platform. FCST 2015: 304-309 - [c12]Wei-Tao Wen, Chang-Dong Wang, De-Shen Wu, Ying-Yan Xie:
An ACO-based Scheduling Strategy on Load Balancing in Cloud Computing Environment. FCST 2015: 364-369 - [c11]Juan Zha, Chang-Dong Wang, Qiu-Liang Chen, Xiao-Yan Lu, Jian-Huang Lai:
Server Consolidation Based on Hybrid Genetic Algorithm. FCST 2015: 370-375 - 2014
- [j11]Xiuchun Xiao, Jian-Huang Lai, Chang-Dong Wang:
Parameter estimation of the exponentially damped sinusoids signal using a specific neural network. Neurocomputing 143: 331-338 (2014) - [j10]Dong-Wei Chen, Jian-Qiang Sheng, Jun-Jie Chen, Chang-Dong Wang:
Stability-based preference selection in affinity propagation. Neural Comput. Appl. 25(7-8): 1809-1822 (2014) - [j9]Qing-Song Zeng, Jian-Huang Lai, Chang-Dong Wang:
Multi-local model image set matching based on domain description. Pattern Recognit. 47(2): 694-704 (2014) - [j8]Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu:
NEIWalk: Community Discovery in Dynamic Content-Based Networks. IEEE Trans. Knowl. Data Eng. 26(7): 1734-1748 (2014) - [c10]Han Zhang, Chang-Dong Wang, Jian-Huang Lai:
Topic Detection in Instant Messages. ICMLA 2014: 219-224 - [i1]Dong Huang, Jian-Huang Lai, Chang-Dong Wang:
Combining Multiple Clusterings via Crowd Agreement Estimation and Multi-Granularity Link Analysis. CoRR abs/1405.1297 (2014) - 2013
- [j7]Chang-Dong Wang, Jian-Huang Lai, Ching Y. Suen, Jun-Yong Zhu:
Multi-Exemplar Affinity Propagation. IEEE Trans. Pattern Anal. Mach. Intell. 35(9): 2223-2237 (2013) - [j6]Chang-Dong Wang, Jian-Huang Lai:
Position regularized Support Vector Domain Description. Pattern Recognit. 46(3): 875-884 (2013) - [j5]Chang-Dong Wang, Jian-Huang Lai, Dong Huang, Wei-Shi Zheng:
SVStream: A Support Vector-Based Algorithm for Clustering Data Streams. IEEE Trans. Knowl. Data Eng. 25(6): 1410-1424 (2013) - [c9]Xiuchun Xiao, Jian-Huang Lai, Chang-Dong Wang:
A Neural Network for Parameter Estimation of the Exponentially Damped Sinusoids. IScIDE 2013: 86-93 - [c8]Dong Huang, Jian-Huang Lai, Chang-Dong Wang:
Exploiting the Wisdom of Crowd: A Multi-granularity Approach to Clustering Ensemble. IScIDE 2013: 112-119 - [c7]Jian-Huang Lai, Chang-Dong Wang, Philip S. Yu:
Dynamic Community Detection in Weighted Graph Streams. SDM 2013: 151-161 - 2012
- [j4]Jun Tan, Jian-Huang Lai, Chang-Dong Wang, Wen-Xian Wang, Xiao-Xiong Zuo:
A new handwritten character segmentation method based on nonlinear clustering. Neurocomputing 89: 213-219 (2012) - [j3]Chang-Dong Wang, Jian-Huang Lai, Jun-Yong Zhu:
Conscience online learning: an efficient approach for robust kernel-based clustering. Knowl. Inf. Syst. 31(1): 79-104 (2012) - [j2]Chang-Dong Wang, Jian-Huang Lai, Jun-Yong Zhu:
Graph-Based Multiprototype Competitive Learning and Its Applications. IEEE Trans. Syst. Man Cybern. Part C 42(6): 934-946 (2012) - [c6]Dong Huang, Jian-Huang Lai, Chang-Dong Wang:
Incremental support vector clustering with outlier detection. ICPR 2012: 2339-2342 - 2011
- [j1]Chang-Dong Wang, Jian-Huang Lai:
Energy based competitive learning. Neurocomputing 74(12-13): 2265-2275 (2011) - [c5]Chang-Dong Wang, Jian-Huang Lai, Dong Huang:
Kernel-Based Clustering with Automatic Cluster Number Selection. ICDM Workshops 2011: 293-299 - [c4]Jian-Sheng Wu, Jian-Huang Lai, Chang-Dong Wang:
A Novel Co-clustering Method with Intra-similarities. ICDM Workshops 2011: 300-306 - [c3]Chang-Dong Wang, Jian-Huang Lai, Dong Huang:
Incremental Support Vector Clustering. ICDM Workshops 2011: 839-846 - 2010
- [c2]Chang-Dong Wang, Jian-Huang Lai, Jun-Yong Zhu:
A Conscience On-line Learning Approach for Kernel-Based Clustering. ICDM 2010: 531-540 - [c1]Qingsong Zeng, Changdong Wang:
NPDA/CS: Improved Non-parametric Discriminant Analysis with CS decomposition and its application to face recognition. ICIP 2010: 4537-4540
Coauthor Index
Hongyang Chao
aka: Hong-Yang Chao
aka: Hong-Yang Chao
[j133] [j130] [j129] [j125] [j123] [j121] [j120] [j117] [j108] [j104] [j102] [c105] [c100] [j96] [j95] [j94] [j92] [j91] [j90] [j85] [j82] [c88] [i36] [i35] [j77] [j76] [j69] [j68] [j67] [c85] [c83] [c82] [c80] [i29] [i28] [i27] [i25] [i24] [i21] [i20] [i19] [i18] [i16] [j60] [j59] [j54] [j51] [c78] [j49] [j48] [j47] [c73] [c69] [i14] [j43] [j38] [j33] [c66] [c64] [c61] [i12] [j28] [j27] [j24] [c55] [c54] [c49] [i9] [j22] [j21] [c42] [c36] [c34] [i7] [j18] [j17] [j14] [c29] [c28] [c26] [c25] [c23] [i6] [i3] [i2] [j12] [i1] [j5] [c8] [c6] [c5] [c3]
[j131] [j119] [j88] [j86] [j81] [j80] [j78] [j75] [j72] [j71] [j70] [j69] [j68] [j65] [j64] [j63] [j62] [j61] [i30] [i26] [j59] [j58] [j57] [j56] [j55] [j54] [j53] [j52] [c76] [c75] [i15] [j48] [j46] [c73] [c71] [j45] [j44] [j43] [j42] [j40] [j39] [j38] [j37] [j35] [j30] [c68] [c67] [c66] [c64] [c62] [c60] [c59] [c58] [c57] [i13] [i11] [j28] [c56] [c55] [c54] [c53] [c50] [c48] [c44] [c43] [c41] [c37] [c34] [j19] [c13]
Jian-Huang Lai
aka: Jianhuang Lai
aka: Jianhuang Lai
[j139] [j130] [j129] [j127] [j126] [j125] [j120] [j118] [j111] [j110] [j108] [j105] [i38] [j90] [j87] [j84] [j82] [j80] [j78] [c92] [c90] [c89] [c86] [i35] [i34] [i33] [j76] [j71] [j70] [j67] [j65] [j64] [j63] [j62] [c83] [c82] [c80] [i30] [i28] [i25] [i24] [i22] [i21] [i20] [i19] [j59] [j54] [j52] [j51] [j50] [i15] [j48] [j47] [j45] [j43] [j40] [j39] [j36] [j29] [c68] [c60] [c59] [c57] [i13] [i12] [i11] [j28] [j25] [j24] [c55] [c48] [i9] [j23] [j20] [c46] [c45] [c44] [c42] [c39] [c38] [i7] [j19] [j18] [j17] [j16] [j15] [j14] [c31] [c30] [c28] [c27] [c26] [c25] [c24] [i6] [i5] [i4] [i3] [i2] [j12] [c21] [c20] [c17] [c16] [c14] [c11] [j11] [j9] [j8] [c10] [i1] [j7] [j6] [j5] [c9] [c8] [c7] [j4] [j3] [j2] [c6] [j1] [c5] [c4] [c3] [c2]
Wudong Xi
aka: Wu-Dong Xi
aka: Wu-Dong Xi
Guangyu Zhang
aka: Guang-Yu Zhang
aka: Guang-Yu Zhang
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