代表作 全部 期刊 会议 其他

[1]   Fei-Yao Liang , Wu-Dong Xi , Xing-Xing Xing , Wei Wan , Chang-Dong Wang * , Hui-Yu Zhou * .   Preference Identification by Interaction Overlap for Bundle Recommendation.  In Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI’25, CCF A类), Montreal, Canada, Aug. 16-22, 2025

[2]   Zhe-Rui Yang , Jindong Han , Chang-Dong Wang * , Hao Liu * .   GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning.  In Proceedings of the 31st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’25, CCF A类, Acceptance rate 19%, Accepted in Nov. 16 2024), Toronto, ON, Canada, August 3-7, 2025

[3]   Man-Sheng Chen , Pei-Yuan Lai * , De-Zhang Liao , Chang-Dong Wang * , Jian-Huang Lai .   Homophily Induced Contrastive Attributed Graph Clustering.  IEEE Transactions on Circuits and Systems for Video Technology (IF=8.4, 中科院分区表1区), in press, 2025

[4]   Jianyang Zhai , Zi-Feng Mai , Chang-Dong Wang * , Xiawu Zheng * , Hui Li , Feidiao Yang , Yonghong Tian .   Multimodal Quantitative Language for Generative Recommendation.  The Thirteenth International Conference on Learning Representations (ICLR'25), Singapore, Apr. 24-28, 2025

[5]   Zhe-Rui Yang , Jindong Han , Chang-Dong Wang * , Hao Liu * .   Erase then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning.  In Proc. of the 39th AAAI Conf. on Artificial Intelligence (AAAI'25, CCF A类), Philadelphia, USA, Feg. 25-March 4, 2025

[6]   Man-Sheng Chen , Pei-Yuan Lai * , De-Zhang Liao , Chang-Dong Wang * , Jian-Huang Lai .   Graph Prompt Clustering.  IEEE Transactions on Pattern Analysis and Machine Intelligence (2024 IF=20.8,中科院分区表1区), in press, 2025

[7]   Can-Ming Cui , Hong-Yi 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 Journal of Biomedical and Health Informatics (2022 IF=7.7, 中科院分区表1区), in press, 2025

[8]   Man-Sheng Chen , Jia-Qi Lin , Chang-Dong Wang * , Dong Huang , Jian-Huang Lai .   Contrastive Ensemble Clustering.  IEEE Transactions on Neural Networks and Learning Systems (2023 IF=10.2, 中科院分区表1区), in press, 2025

[9]   Xunxun Wu , Chang-Dong Wang * , Jia-Qi Lin , Wu-Dong Xi , Philip S. Yu .   Motif-based Contrastive Learning for Community Detection.  IEEE Transactions on Neural Networks and Learning Systems (2021 IF=14.255, 中科院分区表1区), Vol. 35, No. 9, pp. 11706-11719, Sept. 2024   2024 TNNLS Xunxun.pdf

[10]   Jia-Qi Lin , Man-Sheng Chen , Xi-Ran Zhu , Chang-Dong Wang * , Haizhang Zhang .   Dual Information Enhanced Multi-view Attributed Graph Clustering.  IEEE Transactions on Neural Networks and Learning Systems (2021 IF=14.255, 中科院分区表1区), in press 2024

[11]   陈曼笙 , 任骊安 , 王昌栋 * , 黄栋 , 赖剑煌 .   基于混合阶相似性的多视图聚类: 一个广义的视角.  计算机学报（CCF推荐A类中文期刊）, in press 2024

[12]   Man-Sheng Chen , Xi-Ran Zhu , Jia-Qi Lin , Chang-Dong Wang * .   Contrastive Multi-view Attribute Graph Clustering with Adaptive Encoders.  IEEE Transactions on Neural Networks and Learning Systems (2021 IF=14.255, 中科院分区表1区), in press 2024

[13]   Man-Sheng Chen , Chang-Dong Wang * , Dong Huang , Jian-Huang Lai , Philip S. Yu .   Concept Factorization based Multiview Clustering for Large-scale Data.  IEEE Transactions on Knowledge and Data Engineering (2022 IF=8.9,中科院分区表2区), in press, 2024

[14]   Wen-Zhi Li , Chang-Dong Wang * , Jian-Huang Lai , Philip S. Yu .   Towards Effective and Robust Graph Contrastive Learning with Graph Autoencoding.  IEEE Transactions on Knowledge and Data Engineering (2022 IF=8.9,中科院分区表2区), Vol. 36, No. 2, pp. 868-881, Feb. 2024   2024 TKDE Wen-Zhi.pdf

[15]   Xiang-Long Li , Man-Sheng Chen , Chang-Dong Wang * , Jian-Huang Lai .   Refining Graph Structure for Incomplete Multi-view Clustering.  IEEE Transactions on Neural Networks and Learning Systems (IF=14.255, 中科院分区表1区), Vol. 35, No. 2, pp. 2300-2313, Feb. 2024   2024 TNNLS Xiang-Long.pdf

[16]   Kai-Huang Lai , Zhe-Rui Yang , Pei-Yuan Lai , Chang-Dong Wang * , Mohsen Guizani , Min Chen .   Knowledge-Aware Explainable Reciprocal Recommendation.  In Proc. of the 38th AAAI Conf. on Artificial Intelligence (AAAI'24, CCF A类, Acceptance rate 23.75%), Vancouver, Canada, Feb. 20-27, 2024, pp. 8636-8644   2024 AAAI Kai-Huang.pdf

[17]   Jia-Qi Lin , Man-Sheng Chen , Chang-Dong Wang * , Haizhang Zhang .   A Tensor Approach for Uncoupled Multiview Clustering.  IEEE Transactions on Cybernetics (2021 IF=19.118,中科院分区表1区), Vol. 54, No. 2, pp. 1236-1249, Feb. 2024 (*ESI Highly Cited Paper*)   2024 TCYB Jia-Qi.pdf

[18]   Ting-Ting Su , Chang-Dong Wang * , Wu-Dong Xi , Jian-Huang Lai , Philip S. Yu .   Hierarchical Alignment with Polar Contrastive Learning for Next-basket Recommendation.  IEEE Transactions on Knowledge and Data Engineering (2022 IF=8.9,中科院分区表2区), Vol. 36, No. 1, pp. 199-210, Jan. 2024   2024 TKDE Ting-Ting.pdf

[19]   陈曼笙 , 蔡晓莎 , 林家祺 , 王昌栋 * , 黄栋 , 赖剑煌 .   张量学习诱导的多视图谱聚类.  计算机学报（CCF推荐A类中文期刊）, Vol. 47, No. 1, pp. 52-68, Jan. 2024   2024 计算机学报 曼笙.pdf

[20]   Zhi-Hong Deng , Chang-Dong Wang * , Ling Huang , Jian-Huang Lai , Philip S. Yu .   G3SR: Global Graph Guided Session-based Recommendation.  IEEE Transactions on Neural Networks and Learning Systems (2021 IF=14.255, 中科院分区表1区), Vol. 34, No. 12, pp. 9671-9684, Dec. 2023.   2023 TNNLS Zhi-Hong.pdf   G3SR Code.zip

[21]   Dong Huang , Chang-Dong Wang * , Jian-Huang Lai .   Fast Multi-view Clustering via Ensembles: Towards Scalability, Superiority, and Simplicity.  IEEE Transactions on Knowledge and Data Engineering (2022 IF=8.9,中科院分区表2区), Vol. 35, No. 11, pp. 11388-11402, Nov. 2023   2023 TKDE Dong Huang.pdf

[22]   Jianyang Zhai , Xiawu Zheng * , Chang-Dong Wang * , Hui Li , Yonghong Tian .   Knowledge Prompt-tuning for Sequential Recommendation.  In Proceedings of the 31st ACM International Conference on Multimedia (ACM MM’23, CCF A类), Ottawa, Canada, Oct. 29-Nov.2, 2023, pp. 6451-6461   2023 ACM MM Jianyang-首页.pdf

[23]   Man-Sheng Chen , Jia-Qi Lin , Chang-Dong Wang * , Wu-Dong Xi , Dong Huang .   On Regularizing Multiple Clusterings for Ensemble Clustering by Graph Tensor Learning.  In Proceedings of the 31st ACM International Conference on Multimedia (ACM MM’23, CCF A类), Ottawa, Canada, Oct. 29-Nov.2, 2023, pp. 3069-3077   2023 ACM MM Man-Sheng.pdf

[24]   Xiao-Kai Cao , Chang-Dong Wang * , Jian-Huang Lai , Qiong Huang , C. L. Philip Chen .   Multiparty Secure Broad Learning System for Privacy Preserving.  IEEE Transactions on Cybernetics (2022 IF=11.8,中科院分区表1区), Vol. 53, No. 10, pp. 6636-6648, Oct. 2023   2023 TCYB Xiao-Kai.pdf

[25]   Wen-Zhi Li , Chang-Dong Wang * , Hui Xiong , Jian-Huang Lai .   GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification.  In Proceedings of the 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’23, CCF A类, Acceptance rate 22%), Long Beach, CA, USA, August 6-10, 2023, pp. 1328-1340   2023 KDD GraphSHA Wen-Zhi.pdf   GraphSHA code.zip

[26]   Wen-Zhi Li , Chang-Dong Wang * , Hui Xiong , Jian-Huang Lai .   HomoGCL: Rethinking Homophily in Graph Contrastive Learning.  In Proceedings of the 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’23, CCF A类, Acceptance rate 22%), Long Beach, CA, USA, August 6-10, 2023, pp. 1341-1352   2023 KDD HomoGCL Wen-Zhi.pdf   HomoGCL-master.zip

[27]   Lei Xu , Zhen-Yu He , Kai Wang , Chang-Dong Wang * , Shu-Qiang Huang * .   Explicit Message-Passing Heterogeneous Graph Neural Network.  IEEE Transactions on Knowledge and Data Engineering (2022 IF=8.9,中科院分区表2区), Vol. 35, No. 7, pp. 6916-6929, July 2023   2023 TKDE Lei Xu.pdf

[28]   Chang-Dong Wang , Xi-Ran Zhu , Xueqing Zhou , Jiahong Li , Liping Lan , Dong Huang , Yiqing Zheng , Yuexin Cai * .   Cross-subject Tinnitus Diagnosis based on Multi-band EEG Contrastive Representation Learning.  IEEE Journal of Biomedical and Health Informatics (2022 IF=7.7, 中科院分区表1区), Vol. 27, No. 7, pp. 3187-3197, July 2023   2023 JBHI Wang.pdf

[29]   Ling Huang , Chang-Dong Wang * , Philip S. Yu .   Higher Order Connection Enhanced Community Detection in Adversarial Multiview Networks.  IEEE Transactions on Cybernetics (IF=11.079,中科院分区表1区), Vol. 53, No. 5, pp. 3060-3074, May 2023.   2023 TCYB Ling Huang.pdf

[30]   Man-Sheng Chen , Chang-Dong Wang * , Jian-Huang Lai .   Low-rank Tensor Based Proximity Learning for Multi-view Clustering.  IEEE Transactions on Knowledge and Data Engineering (2022 IF=8.9,中科院分区表2区), Vol. 35, No. 5, pp. 5076-5090, May 2023   2023 TKDE Man-Sheng.pdf

[31]   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 Transactions on Industrial Informatics (2021 IF=11.648, 中科院分区表1区), Vol. 19, No. 3, pp. 2541-2551, March 2023.   2023 TII Yan-Hui LZASD.pdf

[32]   Bao-Yu Liu , Ling Huang , Chang-Dong Wang * , Jian-Huang Lai , Philip S. Yu .   Multiview Clustering via Proximity Learning in Latent Representation Space.  IEEE Transactions on Neural Networks and Learning Systems (2021 IF=14.255, 中科院分区表1区), Vol. 34, No. 2, pp. 973-986, Feb. 2023.   2023 TNNLS Bao-Yu.pdf   MLPLcode.zip

[33]   Wu-Dong Xi , Ling Huang , Chang-Dong Wang * , Yin-Yu Zheng , Jian-Huang Lai .   Deep Rating and Review Neural Network for Item Recommendation.  IEEE Transactions on Neural Networks and Learning Systems (2021 IF=14.255, 中科院分区表1区), Vol. 33, No. 11, pp. 6726-6736, Nov. 2022.   2022 TNNLS Wu-Dong.pdf

[34]   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 Transactions on Cybernetics (IF=11.079,中科院分区表1区), Vol. 52, No. 11, pp. 12231-12244, Nov. 2022.   2022 TCYB Dong Huang.pdf

[35]   Chang-Dong Wang , Yan-Hui Chen , Wu-Dong Xi , Ling Huang * , Guangqiang Xie .   Cross-Domain Explicit-Implicit-Mixed Collaborative Filtering Neural Network.  IEEE Transactions on Systems Man Cybernetics-Systems (2021 IF=11.471, 中科院分区表1区), Vol. 52, No. 11, pp. 6983-6997, Nov. 2022.   2022 TSMCA Chang-Dong.pdf

[36]   Jia-Qi Lin , Xiang-Long Li , Man-Sheng Chen , Chang-Dong Wang * , Haizhang Zhang .   Incomplete Data Meets Uncoupled Case: A Challenging Task of Multi-View Clustering.  IEEE Transactions on Neural Networks and Learning Systems (2021 IF=14.255, 中科院分区表1区), in press 2022.

[37]   Man-Sheng Chen , Tuo Liu , Chang-Dong Wang * , Dong Huang , Jian-Huang Lai .   Adaptively-weighted Integral Space for Fast Multiview Clustering.  In Proceedings of the 30th ACM International Conference on Multimedia (ACM MM’22, CCF A类), Lisbon, Portugal, Oct. 10-14, 2022

[38]   Man-Sheng Chen , Chang-Dong Wang * , Dong Huang , Jian-Huang Lai , Philip S. Yu .   Efficient Orthogonal Multi-view Subspace Clustering.  In Proceedings of the 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’22, CCF A类, Acceptance rate 15%), Washington, USA, August 14-18, 2022, pp. 127-135   2022 KDD Man-Sheng.pdf   Code-for-OMSC-master without datasets.zip

[39]   Man-Sheng Chen , Ling Huang , Chang-Dong Wang * , Dong Huang , Philip S. Yu .   Multi-view Subspace Clustering with Grouping Effect.  IEEE Transactions on Cybernetics (2022 IF=19.118,中科院分区表1区), Vol. 52, No. 8, pp. 7655-7668, Aug. 2022.   2022 TCYB Man-Sheng.pdf

[40]   Bao-Yu Liu , Ling Huang , Chang-Dong Wang * , Jian-Huang Lai , Philip S. Yu .   Multi-view Consensus Proximity Learning for Clustering.  IEEE Transactions on Knowledge and Data Engineering (2021 IF=9.235,中科院分区表2区, CCF A类), Vol. 37, No. 7, pp. 3405-3417, July 2022   2022 TKDE Bao-Yu.pdf

[41]   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 Transactions on Cybernetics (IF=19.118,中科院分区表1区), Vol. 52, No. 7, pp. 5908-5922, July 2022.   2022_TCYB Chang-Dong.pdf

[42]   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 Transactions on Knowledge and Data Engineering (2021 IF=9.235,中科院分区表2区, CCF A类), Vol. 34, No. 7, pp. 3029-3043, July 2022   2022 TKDE Chang-Dong.pdf

[43]   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 Transactions on Cybernetics (IF=11.079,中科院分区表1区), Vol. 52, No. 6, pp. 5229-5241, June 2022.   2022 TCYB Shi-Ting.pdf   Code.zip

[44]   Yan-Hui Chen , Ling Huang , Chang-Dong Wang * , Jian-Huang Lai .   Hybrid-order Gated Graph Neural Network for Session-based Recommendation.  IEEE Transactions on Industrial Informatics (IF=10.215, 中科院分区表1区), Vol. 18, No. 3, pp. 1458-1467, March 2022.   2022 TII Yan-Hui.pdf

[45]   Chang-Dong Wang * , Man-Sheng Chen , Ling Huang , Jian-Huang Lai , Philip S. Yu .   Smoothness Regularized Multi-view Subspace Clustering with Kernel Learning.  IEEE Transactions on Neural Networks and Learning Systems (IF=11.683, 中科院分区表1区), Vol. 32, No. 11, pp. 5047-5060, Nov., 2021.   2021 TNNLS Chang-Dong.pdf

[46]   Ling Huang , Chang-Dong Wang * , Hong-Yang Chao .   HM-Modularity: A Harmonic Motif Modularity Approach for Multi-layer Network Community Detection.  IEEE Transactions on Knowledge and Data Engineering (2021 IF=9.235,中科院分区表2区，CCF A类), Vol. 33, No. 6, pp. 2520-2533, June 2021   Multi-layer Brain Networks.zip   2021 TKDE Ling Huang.pdf

[47]   Bao-Yu Liu , Ling Huang , Chang-Dong Wang * , Suohai Fan , Philip S. Yu .   Adaptively Weighted Multiview Proximity Learning for Clustering.  IEEE Transactions on Cybernetics (IF=11.079,中科院分区表1区), Vol. 51, No. 3, pp. 1571-1585, March 2021.   2021 TCYB Liu.pdf

[48]   Xunxun Wu , Chang-Dong Wang * , Pengfei Jiao .   Hybrid-order Stochastic Block Model.  In Proc. of the 35th AAAI Conf. on Artificial Intelligence (AAAI'21, CCF A类, Acceptance rate 21%), Virtually, Feb. 2-9, 2021, pp. 4470-4477.   2021 AAAI Xunxun.pdf

[49]   Ling Huang , Chang-Dong Wang * , Hong-Yang Chao , Philip S. Yu .   MVStream: Multiview Data Stream Clustering.  IEEE Transactions on Neural Networks and Learning Systems (IF=11.683, 中科院分区表1区), Vol. 31, No. 9, pp. 3482-3496, Sept. 2020.   2020 TNNLS Ling Huang.pdf

[50]   Man-Sheng Chen , Ling Huang , Chang-Dong Wang * , Dong Huang .   Multi-view Clustering in Latent Embedding Space.  In Proc. of the 34th AAAI Conf. on Artificial Intelligence (AAAI'20, CCF A类, Acceptance rate 20.6%, Oral), New York, NY, USA, Feb. 7-Feb. 12, 2020, pp. 3513-3520.   2020 AAAI Mansheng.pdf

[51]   Dong Huang , Chang-Dong Wang * , Jian-Sheng Wu , Jian-Huang Lai , Chee-Keong Kwoh .   Ultra-Scalable Spectral Clustering and Ensemble Clustering.  IEEE Transactions on Knowledge and Data Engineering (IF=3.438,中科院分区表2区，CCF A类), Vol. 32, No. 6, pp. 1212-1226, June 2020. DOI: 10.1109/TKDE.2019.2903410. (*ESI Highly Cited Paper*)   2020_TKDE_Dong Huang.pdf

[52]   Pei-Zhen Li , Ling Huang , Chang-Dong Wang * , Jian-Huang Lai .   EdMot: An Edge Enhancement Approach for Motif-aware Community Detection.  In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’19, CCF A类, Oral presentation, Acceptance rate 9.1%), Anchorage, Alaska USA, August 4-8, 2019, pp. 479-487   2019 KDD Pei-Zhen.pdf

[53]   Wu-Dong Xi , Ling Huang , Chang-Dong Wang * , Yin-Yu Zheng , Jian-Huang Lai .   BPAM: Recommendation Based on BP Neural Network with Attention Mechanism.  In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI’19, CCF A类, Acceptance rate 17.9%), Macao, China, August 10-16, 2019, pp. 3905-3911   2019 IJCAI Wu-Dong.pdf

[54]   Chang-Dong Wang , Zhi-Hong Deng , Jian-Huang Lai * , Philip S. Yu .   Serendipitous Recommendation in E-commerce using Innovator-Based Collaborative Filtering.  IEEE Transactions on Cybernetics (IF=7.384,中科院分区表1区), Vol. 49, No. 7, pp. 2678-2692, 2019.   2019 TCYB Wang.pdf

[55]   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.  In Proc. of the 33rd AAAI Conf. on Artificial Intelligence (AAAI'19, CCF A类, Acceptance rate 16.2%, Oral), Honolulu, Hawaii, USA, Jan. 27-Feb. 1, 2019, pp. 61-68   2019 AAAI Zhi-Hong.pdf

[56]   Dong Huang , Chang-Dong Wang * , Jian-Huang Lai .   Locally Weighted Ensemble Clustering.  IEEE Transactions on Cybernetics (IF=7.384,中科院分区表1区)   2018 TCYB Dong Huang.pdf

[57]   Chang-Dong Wang , Jian-Huang Lai * , Philip S. Yu .   Multi-View Clustering Based on Belief Propagation.  IEEE Transactions on Knowledge and Data Engineering (IF=3.438,中科院分区表2区，CCFA类), Vol. 28, No. 4, pp. 1007-1021, April, 2016   2016_TKDE_Wang_MVAP.pdf

[58]   Chang-Dong Wang , Jian-Huang Lai * , Philip S. Yu .   NEIWalk: Community Discovery in Dynamic Content-based Networks.  IEEE Transactions on Knowledge and Data Engineering (IF=3.438,中科院分区表2区，CCF A类), Vol. 26, No. 7, pp. 1734-1748, July, 2014.   2014_TKDE_Wang_NEIWalk.pdf

[59]   Chang-Dong Wang , Jian-Huang Lai * , Ching Y. Suen , Jun-Yong Zhu .   Multi-Exemplar Affinity Propagation.  IEEE Transactions on Pattern Analysis and Machine Intelligence (IF=8.329,中科院分区表1区), Vol. 35, No. 9, pp.2223-2237, Sept. 2013.   Multi-Exemplar Affinity Propagation Matlab Code.zip   MEAP_SupplementaryMaterial.pdf   2013_TPAMI_Wang_MEAP.pdf

[60]   Chang-Dong Wang , Jian-Huang Lai * , Dong Huang , Wei-Shi Zheng .   SVStream: A Support Vector Based Algorithm for Clustering Data Streams.  IEEE Transactions on Knowledge and Data Engineering(IF=3.438,中科院分区表2区，CCF A类), Vol. 25, No. 6, pp. 1410-1424, 2013   2013_TKDE_Wang_SVStream.pdf   SVStreamCode.rar

[61]   Chang-Dong Wang , Jian-Huang Lai * .   Position Regularized Support Vector Domain Description.  Pattern Recognition (IF=4.582,中科院分区表2区), Vol. 46, pp. 875-884, 2013   2013_PR_Wang_PSVDD.pdf   PSVDD.zip

[62]   Chang-Dong Wang , Jian-Huang Lai * , Philip S. Yu .   Dynamic Community Detection in Weighted Graph Streams.  Proc. of 2013 SIAM Int. Conf. on Data Mining (SDM’13, CCF B类), Austin, Texas, USA, May, 2013, pp. 151-161. (ORAL)   2013_SDM_Wang.pdf

[63]   Chang-Dong Wang , Jian-Huang Lai * , Jun-Yong Zhu .   Graph-Based Multiprototype Competitive Learning and its Applications.  IEEE Transactions on Systems, Man, and Cybernetics--Part C: Applications and Reviews(IF=2.02,中科院分区表2区), Vol. 42, No. 6, pp. 934-946, Nov. 2012.   2012_TSMCC_Wang_GMPCL.pdf

[64]   Chang-Dong Wang , Jian-Huang Lai * .   Energy Based Competitive Learning.  Neurocomputing (IF=3.317,中科院分区表2区), Vol. 74, pp. 2265-2275, June 2011   2011_Neucom_Wang_EBCL.pdf

[65]   Chang-Dong Wang , Jian-Huang Lai * , Jun-Yong Zhu .   A Conscience On-line Learning Approach for Kernel-Based Clustering.  in Proc. of the 10th Int. Conf. on Data Mining (ICDM'10, CCF B类), Sydney, Australia, Dec. 2010, pp. 531–540.   2010_ICDM_Wang_COLL.pdf