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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
- Chang-Dong Wang
- Changdong Wang
- 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
- 2026
[j209]Xiaowen Lu, Chuyuan Wei, Lei Zhang, Shanshan Wan, Xiaoping Zhou, Chang-Dong Wang:
Trust-Enhanced Twin Convolutional Framework for Multi-Behavior Recommendation. Data Intell. 8(2): 20250010 (2026)- [j208]Xi Zeng, Pei-Yuan Lai, Chang-Dong Wang, Qing-Yun Dai:
Heterogeneous Patent Graph Prompt Learning. Eng. Appl. Artif. Intell. 167: 113959 (2026) - [j207]Junyang Feng, Shunzhi Yang, Changdong Wang, Xiaowen Ma, Yibo Meng, Yunwen Chen, Zhenhua Huang:
High-order structural attribution distillation for link prediction. Neurocomputing 660: 131910 (2026) - [j206]Jinghao Fang, Wei Wei, Bowen Shi, Chang-Dong Wang, Yongming Cai, Jin Yang:
Metapath-based feature aggregated heterogeneous graph neural network for adverse drug reactions prediction. Neurocomputing 667: 132271 (2026) - [j205]Kang Liu, Shunzhi Yang, Chang-Dong Wang, Yunwen Chen, Zhenhua Huang:
A novel knowledge distillation method for graph neural networks with gradient mapping and fusion. Inf. Fusion 131: 104163 (2026) - [j204]Xiaosha Cai, Man-Sheng Chen, Yihong Lu, Chang-Dong Wang, Xiao-Kai Cao, Haizhang Zhang:
Multi-pattern structure refinement and fusion for heterophilic graphs. Inf. Fusion 134: 104381 (2026) - [j203]Waseem Ullah, Latif U. Khan, Mohsen Guizani, Chang-Dong Wang, Di Wu:
Graph-Based Temporal Attention Network for Anomaly Recognition in Internet of Things Video Surveillance. IEEE Internet Things J. 13(9): 18629-18643 (2026) - [j202]Yingjie Kuang, Zhenhua Zeng, Ling Huang, Zhenyu Yang, Yuefang Gao, Chang-Dong Wang:
DG$$^{3}$$PR: dynamic global graph guided price-aware recommendation. J. King Saud Univ. Comput. Inf. Sci. 38(6) (2026) - [j201]Hua-Bao Ling, Bowen Zhu, Dong Huang, Ding-Hua Chen, Chang-Dong Wang, Jian-Huang Lai:
Vision transformer for contrastive clustering. Knowl. Based Syst. 340: 115721 (2026) - [j200]Pei-Yuan Lai, Zhen-Wei Huang, De-Zhang Liao, Kai-Huang Lai, Chang-Dong Wang:
TipRec: Time-interval-aware prompting for Recommendation with large language models. Knowl. Based Syst. 350: 116516 (2026) - [j199]Pei-Yuan Lai, Qing-Yun Dai, De-Zhang Liao, Huan-Tao Cai, Man-Sheng Chen, Chang-Dong Wang:
Multi-source knowledge enhancement for multimodal semantic representation. Int. J. Mach. Learn. Cybern. 17(2): 68 (2026) - [j198]Ling Huang, Yan-Huang Chen, Zhenyu Yang, Yuefang Gao, Zhen-Wei Huang, Chang-Dong Wang:
Price-aware graph-based recommendation using latent price vectors. Int. J. Mach. Learn. Cybern. 17(5): 226 (2026) - [j197]Guang-Yu Zhang, Yan-Di Huang, Dong Huang, Chang-Dong Wang, Yang Liu, Enbo Huang:
Structure-preserving contrastive graph clustering with dual-channel label alignment. Neural Networks 193: 107954 (2026) - [j196]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. Neural Networks 193: 108003 (2026) - [j195]Ling Huang, Zhe-Yuan Li, Xiao-Dong Huang, Yuefang Gao, Chang-Dong Wang, Philip S. Yu:
Autoencoder-based contrastive learning for next basket recommendation. Neural Networks 194: 108166 (2026) - [j194]Nan Li, Hui-Yu Zhou, Chang-Dong Wang, Pei-Yuan Lai:
Large interest network for click-through rate prediction. Neural Networks 195: 108293 (2026) - [j193]Yi-Hong Lu, Wu-Dong Xi, Xing-Xing Xing, Wei Wan, Chang-Dong Wang:
ID-Guided Multimodal experts with contrastive diffusion for sequential recommendation. Neural Networks 198: 108612 (2026) - [j192]Jinzhao Su, Shiyu Liu, Shunzhi Yang, Chang-Dong Wang, Shengli Sun, Zhenhua Huang:
A unified framework for sequential recommendation with gated differential amplified attention and repetition-exploration intent modeling. Neural Networks 198: 108721 (2026) - [j191]Kang Liu, Yuqi Zhang, Shunzhi Yang, Chang-Dong Wang, Yunwen Chen, Xiaowen Ma, Zhenhua Huang:
Multiple interpretation ensemble distillation for graph neural networks. Neural Networks 199: 108674 (2026) - [j190]Cheng Li, Pei-Yuan Lai, Na Zhang, Cai Wen, Huantao Cai, Guanghui Zheng, Hao Wu, Lian Liang, Guoqiong Zeng, Tianqi Yang, Xiaoxia Yu, Li Li, Jianhuang Lai, Chang-Dong Wang, Tao Yu:
EcoRxAgent: an AI agent for generating economically substitutable prescriptions. npj Digit. Medicine 9(1) (2026) - [j189]Tuo Liu, Yonglin Li, Hongyi Chen, Naiqing Li, Yan Zhang, Xuanqi Huang, Jin Wang, Rui Chen, Yuping Zeng, Yuntao Liu, Danwen Zheng, Darong Wu, Chang-Dong Wang, Tao Yu, Xiaotu Xi, Zhongde Zhang:
A multimodal embedding model for sepsis data representation. npj Digit. Medicine 9(1) (2026) - [j188]Cheng Liang, Wenlan Chen, Lu Gao, Chang-Dong Wang, Shichao Zhang, Fei Guo:
Graph-Embedded Deep Generative Clustering for Single-Cell Multi-Omics Data Integration. IEEE Trans. Pattern Anal. Mach. Intell. 48(7): 7890-7901 (2026) - [j187]Dong Huang, Qiang Lai, Haiyan Wang, Yuankun Xu, Chang-Bin Guan, Chang-Dong Wang:
REC-GCN: Robust ensemble clustering with graph convolutional networks. Pattern Recognit. 172: 112717 (2026) - [j186]Runcheng Yang, Guorong Lin, Chang-Dong Wang, Xiaowen Ma, Zhenhua Huang:
Vision-Language Complementary Dual-Centroid learning for unsupervised person re-identification. Pattern Recognit. 180: 114278 (2026) - [j185]Chuyuan Wei, Yuan-Peng Zhai, Shengda Zhuo, Chang-Dong Wang, Shu-Qiang Huang:
Super-Item Interaction With Contrastive Learning for Structure-Level Cross-Domain Recommendation. IEEE Trans. Comput. Soc. Syst. 13(2): 1482-1495 (2026) - [j184]Jinzhao Su, Zhenhua Huang, Chang-Dong Wang, Yunwen Chen:
MLSA4Rec: Mamba Combined With Low-Rank Decomposed Self-Attention for Sequential Recommendation. IEEE Trans. Comput. Soc. Syst. 13(2): 1819-1834 (2026) - [j183]Yongjun Li, Haiyan Wang, Dong Huang, Chang-Dong Wang:
Mutual Neighborhood-Enhanced Protypical Contrastive Learning for Clustering. IEEE Trans. Circuits Syst. Video Technol. 36(7): 9931-9943 (2026) - [j182]Tianchuan Yang, Haoyan Yang, Man-Sheng Chen, Chang-Dong Wang, Jipeng Guo, Xiangcheng Li, Youming Sun, Fuying Huang, Haiqiang Chen:
Density Peak Anchor Selection for Multi-View Clustering. IEEE Trans. Circuits Syst. Video Technol. 36(9): 13447-13459 (2026) - [j181]Shanshan Wan, Zebin Fu, Qiyi Zhou, Chuyuan Wei, Chang-Dong Wang:
A Structure-Aware Fair Recommendation Approach Based on Counterfactual Dynamic Hypergraphs. ACM Trans. Intell. Syst. Technol. 17(1): 8:1-8:25 (2026) - [j180]Yi-Hong Lu, Pei-Yuan Lai, Man-Sheng Chen, Huan-Tao Cai, Zeng-Hui Wang, Shuang-Yin Liu, Qing-Yun Dai, Chang-Dong Wang:
P3L: Patent Prediction With Prompt Learning. IEEE Trans. Neural Networks Learn. Syst. 37(6): 2563-2576 (2026) - [j179]Shiyu Liu, Jinzhao Su, Chang-Dong Wang, Shengli Sun, Chen Lin, Zhenhua Huang:
Adaptive Temporal Expert Routing with Hierarchical Wavelet Enhancement for Multi-Modal Sequential Recommendation. ACM Trans. Inf. Syst. 44(4): 90:1-90:27 (2026) - [j178]Chuyuan Wei, Anning He, Shengda Zhuo, Chang-Dong Wang, Shuqiang Huang:
ProGraph: Graph Prompt Tuning with Knowledge-aware Contrastive Learning for Recommendation. ACM Trans. Multim. Comput. Commun. Appl. 22(4): 96:1-96:26 (2026) - [j177]Man-Sheng Chen, Li-An Ren, Wu-Dong Xi, Chang-Dong Wang, Philip S. Yu:
Knowledge-Aware Clustering. IEEE Trans. Syst. Man Cybern. Syst. 56(2): 1165-1178 (2026) - [c126]Xinzi Cao, Jianyang Zhai, Pengfei Li, Zhiheng Hu, Cen Yan, Bingxu Mu, Guanghuan Fang, Bin She, Jiayu Li, Yihan Su, Dongyang Tao, Feidiao Yang, Chang-Dong Wang, Yutong Lu, Weicheng Xue, Bin Zhou, Yonghong Tian:
AscendKernelGen: LLM-Driven Kernel Generation for NPUs. ACL (Findings) 2026: 30693-30718 - [c125]Zi-Xuan Yuan, Chang-Dong Wang, Pei-Yuan Lai, Tao Yu:
SEUT: Semantic-Aware Multimodal Medical Data Transmission for Multi-Center Collaborative Diagnosis. IWCMC 2026: 1870-1875 - [i44]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:
AscendKernelGen: A Systematic Study of LLM-Based Kernel Generation for Neural Processing Units. CoRR abs/2601.07160 (2026) - 2025
- [j176]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:
A pilot study for virus-induced neural network remodeling in sudden hearing loss and tinnitus: A graph attention network approach. Comput. Biol. Medicine 194: 110502 (2025) - [j175]Mohamad Wazzeh, Ahmad Hammoud, Azzam Mourad, Hadi Otrok, Chamseddine Talhi, Zbigniew Dziong, Changdong Wang, Mohsen Guizani:
Dynamic Split Federated Learning for resource-constrained IoT systems. Comput. Commun. 242: 108275 (2025) - [j174]Pei-Yuan Lai, Qing-Yun Dai, Chang-Dong Wang:
Dual-triangular Recommender System. Data Sci. Eng. 10(4): 800-818 (2025) - [j173]Chen-Min Yang, Dong Huang, Yuankun Xu, Xiuting He, Guang-Yu Zhang, Chang-Dong Wang:
Towards multi-fusion graph neural network for single-cell RNA sequence clustering. Neurocomputing 631: 129764 (2025) - [j172]Tianchuan Yang, Chang-Dong Wang, Jipeng Guo, Xiangcheng Li, Man-Sheng Chen, Shuping Dang, Haiqiang Chen:
Triplets-based large-scale multi-view spectral clustering. Inf. Fusion 121: 103134 (2025) - [j171]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) - [j170]Jiale Chen, Shengda Zhuo, Jinchun He, Wangjie Qiu, Qinnan Zhang, Zehui Xiong, Zhiming Zheng, Yin Tang, Min Chen, Chang-Dong Wang, Shuqiang Huang:
Federated Graph Learning via Constructing and Sharing Feature Spaces for Cross-Domain IoT. IEEE Internet Things J. 12(14): 26200-26214 (2025) - [j169]Xiuze Li, Zhenhua Huang, Zhengyang Wu, Chang-Dong Wang, Yunwen Chen:
Cross-domain recommendation via knowledge distillation. Knowl. Based Syst. 311: 113112 (2025) - [j168]Guang-Yu Zhang, Chang-Bin Guan, Dong Huang, Zihao Wen, Chang-Dong Wang, Lei Xiao:
Scalable tri-factorization guided multi-view subspace clustering. Knowl. Based Syst. 312: 113119 (2025) - [j167]Qi Wei, Yi-Hong Lu, Dan Du, Huan-Tao Cai, Pei-Yuan Lai, Chang-Dong Wang:
PLSRP: prompt learning for send-receive path prediction. Int. J. Mach. Learn. Cybern. 16(4): 2219-2230 (2025) - [j166]Zhenyu He, Jia-Qi Lin, Chang-Dong Wang, Mohsen Guizani:
Interaction-knowledge semantic alignment for recommendation. Neural Networks 181: 106755 (2025) - [j165]Xiaosha Cai, Man-Sheng Chen, Chang-Dong Wang, Haizhang Zhang:
Motif-aware curriculum learning for node classification. Neural Networks 184: 107089 (2025) - [j164]Zi-Feng Zhou, Dong Huang, Chang-Dong Wang:
Pyramid contrastive learning for clustering. Neural Networks 185: 107217 (2025) - [j163]Lin Li, Shengda Zhuo, Hongguang Lin, Jinchun He, Wangjie Qiu, Qinnan Zhang, Chang-Dong Wang, Shuqiang Huang:
Enhancing partition distinction: A contrastive policy to recommendation unlearning. Neural Networks 190: 107667 (2025) - [j162]Xiuze Li, Zhenhua Huang, Changdong Wang, Yunwen Chen:
Dominant preference decoupling and guided perturbed preference injection for cross-domain sequence recommendation. Neural Networks 192: 107906 (2025) - [j161]Man-Sheng Chen, Pei-Yuan Lai, De-Zhang Liao, Chang-Dong Wang, Jian-Huang Lai:
Graph Prompt Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 47(7): 5794-5805 (2025) - [j160]Liyuan Chen, Dawei Zhang, Xiao Wang, Chang-Dong Wang, Shan Jin, Zhonglong Zheng:
A complementary dual model for weakly supervised salient object detection. Pattern Recognit. 163: 111465 (2025) - [j159]Xianxian Xia, Dong Huang, Chen-Min Yang, Chaobo He, Chang-Dong Wang:
Simple One-Step Multi-View Clustering With Fast Similarity and Cluster Structure Learning. IEEE Signal Process. Lett. 32: 1850-1854 (2025) - [j158]Yuankun Xu, Dong Huang, Chang-Dong Wang, Jian-Huang Lai:
GLAC-GCN: Global and Local Topology-Aware Contrastive Graph Clustering Network. IEEE Trans. Artif. Intell. 6(6): 1448-1459 (2025) - [j157]Pei-Yuan Lai, Man-Sheng Chen, De-Zhang Liao, Chang-Dong Wang, Min Chen, Lin Mei:
Knowledge-Aware Synergistic Discovery of Drug Combinations: A Large Language Model Perspective. IEEE Trans. Comput. Biol. Bioinform. 22(5): 2267-2279 (2025) - [j156]Xiao-Dong Huang, Ling Huang, Yuefang Gao, Zhe-Yuan Li, Pei-Yuan Lai, Chang-Dong Wang, Philip S. Yu:
Knowledge-Aware Graph Prompt Tuning for Cross-Domain Recommendation. IEEE Trans. Comput. Soc. Syst. 12(6): 3923-3937 (2025) - [j155]Man-Sheng Chen, Pei-Yuan Lai, De-Zhang Liao, Chang-Dong Wang, Jian-Huang Lai:
Homophily Induced Contrastive Attributed Graph Clustering. IEEE Trans. Circuits Syst. Video Technol. 35(10): 10213-10224 (2025) - [j154]Pei-Yuan Lai, Qing-Yun Dai, De-Zhang Liao, Zhe-Rui Yang, Xiao-Dong Liao, Chang-Dong Wang, Min Chen:
MASER: Multi-Order Attention and Semantic-Enhanced Representation Model for Complex Text Recommendation. IEEE Trans. Emerg. Top. Comput. Intell. 9(2): 1743-1755 (2025) - [j153]Chuyuan Wei, Baojie Yuan, Chuanhao Hu, Jinzhe Li, Chang-Dong Wang, Mohsen Guizani:
Knowledge-Aware Intent-Guided Contrastive Learning for Next-basket Recommendation. IEEE Trans. Emerg. Top. Comput. Intell. 9(2): 1990-2000 (2025) - [j152]Guang-Yu Zhang, Dong Huang, Chang-Dong Wang:
Large-Scale Tensorized Multi-View Kernel Subspace Clustering. ACM Trans. Intell. Syst. Technol. 16(4): 85:1-85:21 (2025) - [j151]Xuecong Zheng, Ya Li, Zhiqi Wu, Yiyang Tang, Pei-Yuan Lai, Man-Sheng Chen, Hongyi Chen, Chang-Dong Wang, Jiaping Li, Qingyun Dai:
Interpretable Staging Prediction of Liver Cancer Based on Joint-Knowledge Network. IEEE J. Biomed. Health Informatics 29(4): 2993-3006 (2025) - [j150]Ya Li, Xuecong Zheng, Jiaping Li, Qingyun Dai, Chang-Dong Wang, Min Chen:
LKAN: LLM-Based Knowledge-Aware Attention Network for Clinical Staging of Liver Cancer. IEEE J. Biomed. Health Informatics 29(4): 3007-3020 (2025) - [j149]Canming Cui, Hongyi Chen, Man-Sheng Chen, Jiahong Li, Zhaopeng Tong, Chanmei Fang, Chang-Dong Wang, Yuexin Cai:
"Pre-Train, Prompt" Framework to Boost Graph Neural Networks Performance in EEG Analysis. IEEE J. Biomed. Health Informatics 29(7): 4847-4860 (2025) - [j148]Jin-Jie Qiu, Shengda Zhuo, Philip S. Yu, Chang-Dong Wang, Shuqiang Huang:
Online Learning for Noisy Labeled Streams. ACM Trans. Knowl. Discov. Data 19(6): 1-29 (2025) - [j147]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) - [j146]Pei-Yuan Lai, Man-Sheng Chen, Qing-Yun Dai, Chang-Dong Wang, Min Chen, Mohsen Guizani:
Knowledge Graph-Based Patent Clustering. IEEE Trans. Knowl. Data Eng. 37(10): 6009-6019 (2025) - [j145]Tianchuan Yang, Haiqiang Chen, Haoyan Yang, Man-Sheng Chen, Xiangcheng Li, Youming Sun, Chang-Dong Wang:
Smoothness-Induced Efficient Incomplete Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 37(10): 6173-6188 (2025) - [j144]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) - [j143]Jia-Qi Lin, Man-Sheng Chen, Xi-Ran Zhu, Chang-Dong Wang, Haizhang Zhang:
Dual Information Enhanced Multiview Attributed Graph Clustering. IEEE Trans. Neural Networks Learn. Syst. 36(4): 6466-6477 (2025) - [j142]Man-Sheng Chen, Xi-Ran Zhu, Jia-Qi Lin, Chang-Dong Wang:
Contrastive Multiview Attribute Graph Clustering With Adaptive Encoders. IEEE Trans. Neural Networks Learn. Syst. 36(4): 7184-7195 (2025) - [j141]Kang Liu, Zhenhua Huang, Chang-Dong Wang, Beibei Gao, Yunwen Chen:
Fine-Grained Learning Behavior-Oriented Knowledge Distillation for Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 36(5): 9422-9436 (2025) - [j140]Jintang Bian, Yixiang Lin, Xiaohua Xie, Chang-Dong Wang, Lingxiao Yang, Jian-Huang Lai, Feiping Nie:
Multilevel Contrastive Multiview Clustering With Dual Self-Supervised Learning. IEEE Trans. Neural Networks Learn. Syst. 36(6): 10422-10436 (2025) - [j139]Ling Huang, Dong Huang, Han Zou, Yuefang Gao, Chang-Dong Wang, Philip S. Yu:
Knowledge-Reinforced Cross-Domain Recommendation. IEEE Trans. Neural Networks Learn. Syst. 36(7): 12880-12894 (2025) - [j138]Man-Sheng Chen, Jia-Qi Lin, Chang-Dong Wang, Dong Huang, Jian-Huang Lai:
Contrastive Ensemble Clustering. IEEE Trans. Neural Networks Learn. Syst. 36(8): 14678-14690 (2025) - [c124]Zhe-Rui Yang, Jindong Han, Chang-Dong Wang, Hao Liu:
Erase Then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning. AAAI 2025: 13044-13051 - [c123]Hongyi Chen, Naiqing Li, Haoming Huang, Jianhuang Lai, Changdong Wang:
KDA-TCM: Evidence-Grounded Prescription Generation From Symptoms in Chinese EMRs. BIBM 2025: 4848-4856 - [c122]Ruiming Zhang, Jiayi Hu, Changdong Wang:
EmoMI: A Multi-Scale Heterogeneous Graph Contrastive Learning Network for Conversational Multimodal Emotion Recognition. BIBM 2025: 5099-5106 - [c121]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 - [c120]Zi-Feng Mai, Jianyang Zhai, Naiqing Li, Chang-Dong Wang, Zhongjie Zeng, Ya Li, Jiaquan Chen:
Hypergraph Enhanced Knowledge Tree Prompt Learning for Next-Basket Recommendation. DASFAA (5) 2025: 3-18 - [c119]Shengda Zhuo, Jin-Jie Qiu, Chang-Dong Wang, Shuqiang Huang:
Online Feature Selection with Varying Feature Spaces (Extended Abstract). ICDE 2025: 4746-4747 - [c118]Zhan-Hao Xu, Fei-Yao Liang, Hui-Yu Zhou, Chang-Dong Wang:
AdaGen: Adaptive Domain-Specific Classification via Zero-Shot Dataset Generation. ICDM 2025: 803-812 - [c117]Yu-Xuan Zhou, Ru-Bin Li, Zhe Xuanyuan, Pei-Yuan Lai, Chang-Dong Wang:
CL3M-Rec: Contrastive Learning Enhanced LLMs for Recommendation. ICDM 2025: 983-992 - [c116]Qi Zhang, Guangyu Zhang, Dong Huang, Chang-Dong Wang, Haiyan Wang:
Multi-scale Multi-order Attributed Graph Clustering. ICIC (9) 2025: 482-494 - [c115]Jianyang Zhai, Zi-Feng Mai, Chang-Dong Wang, Feidiao Yang, Xiawu Zheng, Hui Li, Yonghong Tian:
Multimodal Quantitative Language for Generative Recommendation. ICLR 2025 - [c114]Guangyu Zhang, Jiaming Deng, Zihao Wen, Dong Huang, Chang-Dong Wang:
Multi-View Clustering via Flexible Dual-Level Fusion. ICPADS 2025: 1-8 - [c113]Guangyu Zhang, Zi-Ying Li, Hai-Yan Wang, Dong Huang, Chang-Dong Wang, Yang Liu:
Dual-Level Facilitated Multi-View Contrastive Graph Clustering. ICPADS 2025: 1-8 - [c112]Fei-Yao Liang, Wu-Dong Xi, Xing-Xing Xing, Wei Wan, Changdong Wang, Hui-Yu Zhou:
Preference Identification by Interaction Overlap for Bundle Recommendation. IJCAI 2025: 3090-3098 - [c111]Guangwei Zhang, Leqi Zheng, Hongyi Chen, Changdong Wang:
Supervised Learning Assisted by Text-Guided Attention for Ards Prediction. ISBI 2025: 1-4 - [c110]Zhe-Rui Yang, Jindong Han, Chang-Dong Wang, Hao Liu:
GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning. KDD (1) 2025: 1785-1796 - [i43]Shengda Zhuo, Jiwang Fang, Hongguang Lin, Yin Tang, Min Chen, Chang-Dong Wang, Shuqiang Huang:
EdgeGFL: Rethinking Edge Information in Graph Feature Preference Learning. CoRR abs/2502.02302 (2025) - [i42]Jianyang Zhai, Zi-Feng Mai, Chang-Dong Wang, Feidiao Yang, Xiawu Zheng, Hui Li, Yonghong Tian:
Multimodal Quantitative Language for Generative Recommendation. CoRR abs/2504.05314 (2025) - [i41]Chuyuan Wei, Shun-Yao Liu, Shengda Zhuo, Chang-Dong Wang, Shu-Qiang Huang, Mohsen Guizani:
Heterogeneous Graph Prompt Learning via Adaptive Weight Pruning. CoRR abs/2507.09132 (2025) - 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, Ziwei 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
Qingyun Dai
aka: Qing-Yun Dai
aka: Qing-Yun Dai
[j201] [j197] [j196] [j187] [j183] [j173] [j168] [j164] [j159] [j158] [j152] [j139] [j138] [c116] [c114] [c113] [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]
[j202] [j198] [j195] [j156] [j139] [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]
Shuqiang Huang
aka: Shu-Qiang Huang
aka: Shu-Qiang Huang
Jian-Huang Lai
aka: Jianhuang Lai
aka: Jianhuang Lai
[j201] [j196] [j190] [j161] [j158] [j155] [j147] [j140] [j138] [c123] [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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