代表作 全部 期刊 会议 其他

2025

[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]   Zifeng Mai , Jianyang Zhai , Naiqing Li , Chang-Dong Wang * , Zhongjie Zeng , Ya Li , Jiaquan Chen .   Hypergraph Enhanced Knowledge Tree Prompt Learning for Next-Basket Recommendation.  In Proc. of the 30th International Conference on Database Systems for Advanced Applications (DASFAA 2025, CCF B类), Singapore, May 26-29, 2025

[4]   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

[5]   Guang-Yu Zhang , Dong Huang * , Chang-Dong Wang .   Large-scale Tensorized Multi-view Kernel Subspace Clustering.  ACM Transactions on Intelligent Systems and Technology (2023 IF=7.2，中科院分区表3区), in press 2025

[6]   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

[7]   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

[8]   Jintang Bian , Yixiang Lin , Xiaohua Xie * , Chang-Dong Wang , Lingxiao Yang , Jian-Huang Lai , Feiping Nie .   Multi-level Contrastive Multi-view Clustering with Dual Self-supervised Learning.  IEEE Transactions on Neural Networks and Learning Systems (2021 IF=14.255, 中科院分区表1区), in press 2025

[9]   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

[10]   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

[11]   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

[12]   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.  Proceedings of the 31st International Conference on Computational Linguistics (COLING 2025, CCF B类), Abu Dhabi, UAE, January 19-24 2025

[13]   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 Transactions on Knowledge and Data Engineering (2022 IF=8.9,中科院分区表2区), Vol. 37, No. 1,, pp. 45-59, Jan. 2025   2025 TKDE Xiaohua.pdf

[14]   Ru-Bin Li , Man-Sheng Chen , Xin-Yu Ding , Chang-Dong Wang * , Sihong Xie , Shuangyin Liu , Min Chen , Mohsen Guizani .   Periodic Prompt on Dynamic Heterogeneous Graph for Next Basket Recommendation.  In Proc. of the 24th Int. Conf. on Data Mining (ICDM'24, CCF B类, Oral, acceptance rate 19.5%), Abu Dhabi, UAE, Dec. 9-Dec. 12, 2024

[15]   Liang-Chen Ma , Ya Li , Zi-Feng Mai , Fei-Yao Liang , Chang-Dong Wang * , Min Chen , Mohsen Guizani .   Cross-Store Next-Basket Recommendation.  In Proc. of the 24th Int. Conf. on Data Mining (ICDM'24, CCF B类, Oral, acceptance rate 19.5%), Abu Dhabi, UAE, Dec. 9-Dec. 12, 2024

[16]   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.  In Proc. of the 24th Int. Conf. on Data Mining (ICDM'24, CCF B类, Oral, acceptance rate 19.5%), Abu Dhabi, UAE, Dec. 9-Dec. 12, 2024

[17]   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.  In Proc. of the 24th Int. Conf. on Data Mining (ICDM'24, CCF B类, Oral, acceptance rate 19.5%), Abu Dhabi, UAE, Dec. 9-Dec. 12, 2024

[18]   Man-Sheng Chen , Xiao-Sha Cai , Chang-Dong Wang * , Dong Huang , Min Chen , Mohsen Guizani .   HomoMGC: Homophily-enhanced Adaptive Graph Refinement for Multi-view Graph Clustering.  In Proc. of the 24th Int. Conf. on Data Mining (ICDM'24, CCF B类, Oral, acceptance rate 19.5%), Abu Dhabi, UAE, Dec. 9-Dec. 12, 2024

[19]   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 Transactions on Neural Networks and Learning Systems (2021 IF=14.255, 中科院分区表1区), Vol. 35, No. 11, pp. 15810-15824, Nov., 2024   2024 TNNLS Guangqiang Xie.pdf

[20]   Ling Huang , Xiao-Dong Huang , Han Zou , Yuefang Gao * , Chang-Dong Wang , Philip S. Yu .   Knowledge-Reinforced Cross-Domain Recommendation.  IEEE Transactions on Neural Networks and Learning Systems (2021 IF=14.255, 中科院分区表1区), in press, 2024

[21]   Xuecong Zheng , Ya Li * , Zhiqi Wu , Yiyang Tang , Pei-Yuan Lai , Man-Sheng Chen , Hong-Yi Chen , Chang-Dong Wang , Jiaping Li , Qingyun Dai .   Interpretable Staging Prediction of Liver Cancer based on Joint-Knowledge Network.  IEEE Journal of Biomedical and Health Informatics (2022 IF=7.7, 中科院分区表1区), in press, 2024

[22]   Man-Sheng Chen , Zhi-Yuan Li , Jia-Qi Lin , Chang-Dong Wang * , Dong Huang .   Sparse Graph Tensor Learning for Multi-view Spectral Clustering.  IEEE Transactions on Emerging Topics in Computational Intelligence (2022 IF=5.3, 中科院分区表3区), Vol. 8, No. 5, pp. 3534-3543, Oct. 2024   2024 TETCI Man-Sheng.pdf

[23]   Zhen-Yu He , Chang-Dong Wang * , Jinfeng Wang , Jian-Huang Lai , Yong Tang .   Community Enhanced Knowledge Graph for Recommendation.  IEEE Transactions on Computational Social Systems (2023 IF=5, 中科院分区表2区), Vol. 11, No. 5, pp. 5789-5802, Oct. 2024   2024 TCSS Zhen-Yu.pdf

[24]   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 Journal of Biomedical and Health Informatics (2022 IF=7.7, 中科院分区表1区), in press, 2024

[25]   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 Transactions on Industrial Informatics (2023 IF=11.7, 中科院分区表1区), Vol. 20, No. 9, pp. 11161-11170, Sept. 2024   2024 TII Pei-Yuan Lai.pdf

[26]   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

[27]   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 Transactions on Knowledge and Data Engineering (2022 IF=8.9,中科院分区表2区), in press, 2024

[28]   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 Transactions on Emerging Topics in Computational Intelligence (2023 IF=5.3, 中科院分区表3区), Vol. 8, No. 4, pp. 3152-3165, Aug. 2024   2024 TETCI Xiao-Kai.pdf

[29]   Chuyuan Wei * , Baojie Yuan , Chuanhao Hu , Jinzhe Li , Chang-Dong Wang , Mohsen Guizani .   Knowledge-aware Intent-guided Contrastive Learning for Next-basket Recommendation.  IEEE Transactions on Emerging Topics in Computational Intelligence (2022 IF=5.3, 中科院分区表3区), in press 2024

[30]   黄玲 , 黄镇伟 , 黄梓源 , 关灿荣 , 高月芳 * , 王昌栋 .   图卷积宽度跨域推荐系统.  计算机研究与发展（CCF推荐A类中文期刊）, Vol. 61, No. 7, pp. 1713−1729, 2024   2024 计算机研究与发展 黄玲.pdf

[31]   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 Transactions on Emerging Topics in Computational Intelligence (2022 IF=5.3, 中科院分区表3区), in press 2024

[32]   Cheng Li , Pei-Yuan Lai * , Yi-Hong Lu , De-Zhang Liao , Xiaodong Huang , Chang-Dong Wang .   GPSR: Graph Prompt for Session-Based Recommendation.  In Proc. of the 29th International Conference on Database Systems for Advanced Applications (DASFAA'24, CCF B类), Gifu, Japan, July 2-5, 2024, pp. 203-219   2024 DASFAA Cheng Li.pdf

[33]   Liu Kang , Zhenhua Huang * , Chang-Dong Wang , Beibei Gao , Yunwen Chen .   Fine-grained Learning Behavior-oriented Knowledge Distillation for Graph Neural Networks.  IEEE Transactions on Neural Networks and Learning Systems (2021 IF=14.255, 中科院分区表1区), in press 2024

[34]   Yuan-Kun Xu , Dong Huang * , Chang-Dong Wang , Jian-Huang Lai .   GLAC-GCN: Global and Local Topology-Aware Contrastive Graph Clustering Network.  IEEE Transactions on Artificial Intelligence, in press 2024

[35]   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 Transactions on Circuits and Systems for Video Technology (IF=8.4, 中科院分区表1区), in press 2024

[36]   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

[37]   Ya Li , Runxi Tan , Tianxin Lin , Qing Liu * , Chang-Dong Wang , Min Chen .   Emotion Recognition based on Global ECG Trajectory.  IEEE Journal of Biomedical and Health Informatics (2022 IF=7.7, 中科院分区表1区), in press, 2024

[38]   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 Transactions on Emerging Topics in Computational Intelligence (2022 IF=5.3, 中科院分区表3区), Vol. 8, No. 2, pp. 1582-1594, April 2024   2024 TETCI Dong Huang.pdf

[39]   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

[40]   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

[41]   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

[42]   Guang-Yu Zhang , Dong Huang * , Chang-Dong Wang .   Unified and Tensorized Incomplete Multi-view Kernel Subspace Clustering.  IEEE Transactions on Emerging Topics in Computational Intelligence (2022 IF=5.3, 中科院分区表3区), Vol. 8, No. 2, pp. 1550-1566, April 2024   2024 TETCI Guang-Yu.pdf

[43]   Zhe-Rui Yang , Zhen-Yu He , Chang-Dong Wang * , Jian-Huang Lai , Zhihong Tian .   Collaborative Meta-Path Modeling for Explainable Recommendation.  IEEE Transactions on Computational Social Systems (2021 IF=4.747, 中科院分区表2区), Vol. 11, No. 2, pp. 1805-1815, April 2024   2024 TCSS Zhe-Rui.pdf

[44]   Chuyuan Wei , Chuanhao Hu * , Chang-Dong Wang , Shuqiang Huang .   Time-aware Multi-Behavior Contrastive Learning for Social Recommendation.  IEEE Transactions on Industrial Informatics (IF=10.215, 中科院分区表1区), Vol. 20, No. 4, pp. 6424-6435, April 2024   2024 TII Chuyuan.pdf

[45]   Sheng-Da Zhuo , Jin-Jie Qiu , Chang-Dong Wang , Shu-Qiang Huang .   Online Feature Selection with Varying Feature Spaces.  IEEE Transactions on Knowledge and Data Engineering (2022 IF=8.9,中科院分区表2区), in press, 2024

[46]   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

[47]   Si-Guo Fang , Dong Huang * , Chang-Dong Wang , Yong Tang .   Joint Multi-view Unsupervised Feature Selection and Graph Learning.  IEEE Transactions on Emerging Topics in Computational Intelligence (2022 IF=5.3, 中科院分区表3区), Vol. 8, No. 1, pp. 16-31, Feb. 2024   2024 TETCI Si-Guo.pdf

[48]   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 Transactions on Emerging Topics in Computational Intelligence (2022 IF=5.3, 中科院分区表3区), Vol. 8, No. 1, pp. 615-626, Feb. 2024   2024 TETCI Yue Zhang.pdf

[49]   Youwei Liang , Dong Huang * , Chang-Dong Wang , Philip S. Yu .   Multi-view Graph Learning by Joint Modeling of Consistency and Inconsistency.  IEEE Transactions on Neural Networks and Learning Systems (IF=14.255, 中科院分区表1区), Vol. 35, No. 2, pp. 2848-2862, Feb., 2024   2024 TNNLS Youwei.pdf

[50]   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

[51]   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 Transactions on Emerging Topics in Computational Intelligence (2022 IF=5.3, 中科院分区表3区), in press 2024

[52]   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

[53]   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

[54]   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

[55]   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

[56]   Yi-Hong Lu , Chang-Dong Wang * , Pei-Yuan Lai , Jian-Huang Lai .   PKAT: Pre-training in Collaborative Knowledge Graph Attention Network for Recommendation.  In Proc. of the 23rd Int. Conf. on Data Mining (ICDM'23, CCF B类, Oral, acceptance rate 9.37%), Shanghai, China, Dec. 1-Dec. 4, 2023

[57]   Xiang-Long Li , Wu-Dong Xi , Xing-Xing Xing , Chang-Dong Wang * .   Auto Graph Filtering for Bundle Recommendation.  In Proc. of the 23rd Int. Conf. on Data Mining (ICDM'23, CCF B类, Oral, acceptance rate 9.37%), Shanghai, China, Dec. 1-Dec. 4, 2023

[58]   Ting-Ting Su , Wu-Dong Xi , Xing-Xing Xing , Chang-Dong Wang * .   MCRec: Multi-channel Gated Gifts Recommendation.  In Proc. of the 23rd Int. Conf. on Data Mining (ICDM'23, CCF B类, Oral, acceptance rate 9.37%), Shanghai, China, Dec. 1-Dec. 4, 2023

[59]   Kang Li , Wu-Dong Xi , Xing-Xing Xing , Chang-Dong Wang * .   Hypergraph Attribute Attention Network for Community Recommendation.  In Proc. of the 23rd Int. Conf. on Data Mining (ICDM'23, CCF B类, Oral, acceptance rate 9.37%), Shanghai, China, Dec. 1-Dec. 4, 2023

[60]   Fei-Yao Liang , Fei-Peng Li , Rong-Hai Xu , Wei Cheng * , Shi-Xian Deng , Zhe-Rui Yang , Chang-Dong Wang * .   Telecom Fraud Detection Based on Feature Binning and Autoencoder.  In Proc. of the 23rd Int. Conf. on Data Mining (ICDM'23, CCF B类, Oral, acceptance rate 9.37%), Shanghai, China, Dec. 1-Dec. 4, 2023

[61]   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 Transactions on Knowledge and Data Engineering (2022 IF=8.9, 中科院分区表2区), Vol. 35, No. 12, pp. 12249-12263, Dec. 2023   HO-GAT Code.rar   2023 TKDE HO-GAT Ling Huang.pdf

[62]   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

[63]   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

[64]   Pengfei Jiao * , Tianpeng Li , Huaming Wu , Yingjie Xie , Chang-Dong Wang , Dongxiao He , Wenjun Wang .   HB-DSBM: Modeling the Dynamic Complex Networks from Community Level to Node Level.  IEEE Transactions on Neural Networks and Learning Systems (2022 IF=10.4, 中科院分区表1区), Vol. 34, No. 11, pp. 8310-8323, Nov. 2023   2023 TNNLS Pengfei Jiao.pdf

[65]   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

[66]   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

[67]   Zhilin Zhao , Longbing Cao * , Chang-Dong Wang .   Gray Learning from Non-IID Data with Out-of-distribution Samples.  IEEE Transactions on Neural Networks and Learning Systems (2022 IF=10.4, 中科院分区表1区), in press, 2023

[68]   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

[69]   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 Transactions on Computational Social Systems (2022 IF=5.2，中科院分区表升级版2区，JCR Q2), Vol. 10, No. 5, pp. 2713-2724, Oct., 2023   2023 TCSS Chao Chang.pdf

[70]   Jinghuan Lao , Dong Huang * , Chang-Dong Wang , Jian-Huang Lai .   Towards Scalable Multi-view Clustering via Joint Learning of Many Bipartite Graphs.  IEEE Transactions on Big Data (2022 IF=7.2, 中科院分区表2区), in press, 2023

[71]   Zhiqiang Bao , Zihao Chen , Chang-Dong Wang , Wei-Shi Zheng , Zhenhua Huang * , Yunwen Chen .   Post-distillation via Neural Resuscitation.  IEEE Transactions on Multimedia (2022 IF=7.3, 中科院分区表1区), in press, 2023.

[72]   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

[73]   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

[74]   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

[75]   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

[76]   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

[77]   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

[78]   Ronghai Xu , Haijun Zhao , Zhi-Yuan Li , Chang-Dong Wang * .   ALGCN: Accelerated Light Graph Convolution Network for Recommendation.  In Proc. of the 28th International Conference on Database Systems for Advanced Applications (DASFAA'23, CCF B类), Tianjin, China, April 17-20, 2023, pp. 221-236   2023 DASFAA Rong-Hai.pdf   ALGCN_code.zip

[79]   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

[80]   Si-Guo Fang , Dong Huang * , Xiao-Sha Cai , Chang-Dong Wang , Chaobo He , Yong Tang .   Efficient Multi-view Clustering via Unified and Discrete Bipartite Graph Learning.  IEEE Transactions on Neural Networks and Learning Systems (2021 IF=14.255, 中科院分区表1区), in press, 2023

[81]   Kang Li , Chang-Dong Wang * , Jian-Huang Lai , Huaqiang Yuan .   Self-Supervised Group Graph Collaborative Filtering for Group Recommendation.  In Proc. of the 16th ACM International Conference on Web Search and Data Mining (WSDM’23, CCF B类, acceptance rate 17.8%), Singapore, Feb. 27-March 3, 2023, pp. 69-77   2023 WSDM Kang Li.pdf

[82]   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

[83]   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

[84]   Zhe-Rui Yang , Zhen-Yu He , Chang-Dong Wang * , Pei-Yuan Lai , De-Zhang Liao , Zhong-Zheng Wang .   A Bi-directional Recommender System for Online Recruitment.  In Proc. of the 22nd Int. Conf. on Data Mining (ICDM'22, CCF B类, Oral, acceptance rate 9.77%), Orlando, FL, USA, Nov. 28-Dec. 1, 2022, pp. 628-637   2022 ICDM Zhe-Rui.pdf

[85]   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

[86]   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

[87]   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.

[88]   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

[89]   Ting-Ting Su , Zhen-Yu He , Man-Sheng Chen , Chang-Dong Wang * .   Basket Booster for Prototype-based Contrastive Learning in Next Basket Recommendation.  In Proceedings of the 2022 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2022, CCF B类, Acceptance rate 26%), Grenoble, France, Sept. 19-23, 2022, pp. 574-589   2022 ECML-PKDD Ting-Ting.pdf

[90]   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

[91]   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

[92]   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

[93]   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

[94]   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

[95]   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

[96]   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

[97]   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 Transactions on Industrial Informatics (IF=10.215, 中科院分区表1区), Vol. 18, No. 2, pp. 1061-1071, Feb. 2022.   2022 IEEE TII Jianbin Xiong.pdf

[98]   Jing Wen , Bi-Yi Chen , Chang-Dong Wang * , Zhihong Tian .   PRGAN: Personalized Recommendation with Conditional Generative Adversarial Networks.  In Proc. of the 21st Int. Conf. on Data Mining (ICDM'21, CCF B类, Oral, acceptance rate 9.8%), Auckland, New Zealand, Dec. 7-10, 2021, pp. 729-738.   2021 ICDM Jing Wen.pdf

[99]   Wen-Zhi Li , Ling Huang , Chang-Dong Wang * , Yuxin Ye .   StarGAT: Star-Shaped Hierarchical Graph Attentional Network for Heterogeneous Network Representation Learning.  In Proc. of the 21st Int. Conf. on Data Mining (ICDM'21, CCF B类, Oral, acceptance rate 9.8%), Auckland, New Zealand, Dec. 7-10, 2021, pp. 1198-1203.   2021 ICDM Wen-Zhi.pdf

[100]   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 Transactions on Intelligent Systems and Technology (IF=2.672, 中科院分区表3区), Vol. 12, No. 6, Article 68, pp. 1-21, Nov. 2021.   TH-GAT Codes.zip   2021 TIST Ling Huang.pdf

[101]   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

[102]   Ling Huang , Chang-Dong Wang * , Hong-Yang Chao .   oComm: Overlapping Community Detection in Multi-view Brain Network.  IEEE/ACM Transactions on Computational Biology and Bioinformatics (IF=2.428,中科院分区表3区，CCF B类期刊), Vol. 18, No. 4, pp. 1582-1595, JULY/AUGUST 2021.   2021 TCBB Ling Huang.pdf

[103]   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

[104]   Xiuchun Xiao , Neal Xiong * , Jianhuang Lai , Chang-Dong Wang , Zhenan Sun , Jingwen Yan .   A Local Consensus Index Scheme for Random-Valued Impulse Noise Detection Systems.  IEEE Transactions on Systems Man Cybernetics-Systems (2021 IF=9.309, 中科院分区表1区), Vol. 51, No. 6, pp. 3412-3428, June, 2021.   2021 TSMC-Systems Xiuchun.pdf

[105]   Guang-Yu Zhang , Xiaowei Chen , Yu-Ren Zhou * , Chang-Dong Wang , Dong Huang .   Consistency- and Inconsistency-aware Multi-view Subspace Clustering.  In Proc. of the 26th International Conference on Database Systems for Advanced Applications (DASFAA'21, CCF B类), Taipei, Taiwan, April 11-14, 2021, pp. 291-306   2021 DASFAA Guang-Yu.pdf

[106]   Juan-Hui Li , Ling Huang , Chang-Dong Wang * , Dong Huang , Jian-Huang Lai , Pei Chen .   Attributed Network Embedding with Micro-Meso Structure.  ACM Transactions on Knowledge Discovery from Data (IF=2.538, 中科院分区表3区), Vol. 15, No. 4, Article 72, April 2021.

[107]   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

[108]   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 Transactions on Industrial Informatics (IF=10.215, 中科院分区表1区),Vol. 17, No. 3, pp. 1679-1688, March 2021.   2021 TII Xie.pdf

[109]   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

[110]   Dong Huang * , Chang-Dong Wang , Hongxing Peng , Jianhuang Lai , Chee-Keong Kwoh .   Enhanced Ensemble Clustering via Fast Propagation of Cluster-Wise Similarities.  IEEE Transactions on Systems Man Cybernetics-Systems (IF=9.309, 中科院分区表1区), Vol. 51, No. 1, pp. 508-520, Jan. 2021.   2021 IEEE TSMC-C Dong Huang.pdf

[111]   Juanhui Li , Yao Ma , Yiqi Wang , Charu Aggarwal , Chang-Dong Wang * , Jiliang Tang .   Graph Pooling with Representativeness.  In Proc. of the 20th Int. Conf. on Data Mining (ICDM'20, CCF B类, Acceptance rate 19.7%), Sorrento, Italy, Nov. 17-20, 2020, pp. 302-311.   2020 ICDM Juan-Hui.pdf

[112]   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

[113]   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

[114]   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

[115]   Heng-Ping He , Pei-Zhen Li , Ling Huang , Yu-Xuan Ji , Chang-Dong Wang * .   Latent Space Clustering via Dual Discriminator GAN.  In Proc. of the 25th International Conference on Database Systems for Advanced Applications (DASFAA'20, CCF B类), Jeju, South Korea, May 21-24, 2020, pp. 671–679   2020 DASFAA Heng-Ping.pdf

[116]   Huidi Chen , Yun Xiong * , Chang-Dong Wang , Yangyong Zhu , Wei Wang .   SpEC: Sparse Embedding-based Community Detection in Attributed Graphs.  In Proc. of the 25th International Conference on Database Systems for Advanced Applications (DASFAA'20, CCF B类), Jeju, South Korea, May 21-24, 2020, pp. 53–69   2020 DASFAA Huidi.pdf

[117]   Pei-Zhen Li , Ling Huang , Chang-Dong Wang * , Jian-Huang Lai , Dong Huang .   Community Detection by Motif-aware Label Propagation.  ACM Transactions on Knowledge Discovery from Data (If=2.538, 中科院分区表3区), Vol. 14, No. 2, Article 22, pp. 1-19, Feb. 2020.   2019 TKDD Pei-Zhen.pdf

[118]   陈碧毅 , 黄玲 * , 王昌栋 , 景丽萍 .   基于显式反馈与隐式反馈的协同过滤推荐算法.  《软件学报》（CCF推荐A类中文期刊）, Vol. 31, No. 3, pp. 1-13, Jan. 2020.   2020 软件学报 陈碧毅.pdf

[119]   Shi-Ting Zhong , Ling Huang , Chang-Dong Wang * , Jian-Huang Lai .   Constrained Matrix Factorization for Course Score Prediction.  In Proc. of the 19th Int. Conf. on Data Mining (ICDM'19, CCF B类, Acceptance rate 18.5%), Beijing China, Nov. 8-11, 2019, pp. 1510-1515.   2019 ICDM Shi-Ting Zhong.pdf

[120]   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.  In Proc. of the 19th Int. Conf. on Data Mining (ICDM'19, CCF B类, Acceptance rate 18.5%), Beijing China, Nov. 8-11, 2019, pp. 1132-1137.   2019 ICDM Yu-Xuan Ji.pdf

[121]   Youwei Liang , Dong Huang * , Chang-Dong Wang .   Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering.  In Proc. of the 19th Int. Conf. on Data Mining (ICDM'19, CCF B类, Acceptance rate 18.5%), Beijing China, Nov. 8-11, 2019, pp. 1204-1209.   2019 ICDM Youwei Liang (Dong Huang).pdf

[122]   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

[123]   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

[124]   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

[125]   He Huang * , Changhu Wang , Philip S. Yu , Chang-Dong Wang .   Generative Dual Adversarial Network for Generalized Zero-shot Learning.  In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'2019, CCF A类, Acceptance rate 25.2%), Long Beach, CA, USA, June 16- June 20, 2019, pp. 801-810   2019 CVPR He Huang.pdf

[126]   Man-Sheng Chen , Ling Huang , Chang-Dong Wang * , Dong Huang .   Multi-view Spectral Clustering via Multi-view Weighted Consensus and Matrix-decomposition based Discretization.  In Proc. of the 24th International Conference on Database Systems for Advanced Applications (DASFAA'19, CCF B类), Chiang Mai, Thailand, 22-25 April 2019, pp. 175-190   2019 DASFAA Man-Sheng.pdf

[127]   Weixin Zeng, , Xiang Zhao * , Jiuyang Tang , Jinzhi Liao , Chang-Dong Wang .   Relevance-Based Entity Embedding.  In Proc. of the 24th International Conference on Database Systems for Advanced Applications (DASFAA'19, CCF B类), Chiang Mai, Thailand, 22-25 April 2019, pp. 300-304   2019 DASFAA Weixin (Xiang Zhao).pdf

[128]   Ling Huang , Hong-Yang Chao , Chang-Dong Wang * .   Multi-View Intact Space Clustering.  Pattern Recognition (IF=4.582,中科院分区表2区), Vol. 86, pp. 344-353, 2019.   2019 PR Ling Huang.pdf

[129]   Ling Huang , Chang-Dong Wang * , Hong-Yang Chao .   Higher-Order Multi-layer Community Detection.  In Proc. of the 33rd AAAI Conf. on Artificial Intelligence (AAAI'19, CCF A类，Poster Session), Honolulu, Hawaii, USA, Jan. 27-Feb. 1, 2019, pp. 9945-9946   2019 AAAI Zhi-Hong.pdf   2019 AAAI Ling Huang.pdf

[130]   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

[131]   Ling Huang , Chang-Dong Wang * , Hong-Yang Chao .   Overlapping Community Detection in Multi-view Brain Network.  In Proc. of the 2018 Int. Conf. on Bioinformatics and Biomedicine (BIBM’18, CCF B类), Madrid, Spain, Dec. 3-6, 2018, pp. 655-658.   2018 BIBM Ling Huang.pdf

[132]   Ling Huang , Chang-Dong Wang * , Hong-Yang Chao .   A Harmonic Motif Modularity Approach for Multi-layer Network Community Detection.  In Proc. of the 18th Int. Conf. on Data Mining (ICDM'18, CCF B类, Acceptance rate 19.94%), Singapore, Nov. 17-20, 2018, pp. 1043–1048.   2018 ICDM Ling Huang.pdf

[133]   He Huang , Bokai Cao , Philip S. Yu * , Chang-Dong Wang , Alex D. Leow .   dpMood: Exploiting Local and Periodic Typing Dynamics for Personalized Mood Prediction.  In Proc. of the 18th Int. Conf. on Data Mining (ICDM'18, CCF B类, Acceptance rate 19.94%), Singapore, Nov. 17-20, 2018, pp. 157–166.   2018 ICDM He Huang.pdf

[134]   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

[135]   Juan-Hui Li , Chang-Dong Wang * , Ling Huang , Dong Huang , Jian-Huang Lai , Pei Chen .   Attributed Network Embedding with Micro-Meso Structure.  In Proc. of The 23rd International Conference on Database Systems for Advanced Applications (DASFAA 2018, CCF B类), Gold Coast, Australia, May 21-24, 2018, pp. 20-36   2018 DASFAA Juan-Hui.pdf

[136]   Kun-Yu Lin , Ling Huang , Chang-Dong Wang * , Hong-Yang Chao .   Multi-view Proximity Learning for Clustering.  In Proc. of The 23rd International Conference on Database Systems for Advanced Applications (DASFAA 2018, CCF B类), Gold Coast, Australia, May 21-24, 2018, pp. 407-423   2018 DASFAA Kun-Yu.pdf

[137]   Zhi-Lin Zhao , Ling Huang , Chang-Dong Wang * , Dong Huang .   Low-Rank and Sparse Cross-Domain Recommendation Algorithm.  In Proc. of The 23rd International Conference on Database Systems for Advanced Applications (DASFAA 2018, CCF B类), Gold Coast, Australia, May 21-24, 2018, pp. 150-157   2018 DASFAA Zhi-Lin.pdf

[138]   Yi-Ming Wen , Chang-Dong Wang * , Kun-Yu Lin .   Direction Recovery in Undirected Social Networks Based on Community Structure and Popularity.  In Proc. of The 23rd International Conference on Database Systems for Advanced Applications (DASFAA 2018, CCF B类), Gold Coast, Australia, May 21-24, 2018, pp. 529-537

[139]   Juan-Hui Li , Chang-Dong Wang * , Pei-Zhen Li , Jian-Huang Lai .   Discriminative metric learning for multi-view graph partitioning.  Pattern Recognition (IF=4.582,中科院分区表2区), Vol. 75, pp. 199-213, 2018   2018 PR Juanhui.pdf

[140]   Yikun Qin , Zhu Liang Yu * , Chang-Dong Wang , Zhenghui Gu , Yuanqing Li .   A Novel clustering method based on hybrid K-nearest-neighbor graph.  Pattern Recognition (IF=4.582,中科院分区表2区), Vol. 74, pp. 1-14, 2018   2018 PR Yikun Qin.pdf

[141]   Zhi-Lin Zhao , Chang-Dong Wang * , Kun-Yu Lin , Jian-Huang Lai .   Missing Value Learning.  In Proc. of The 26th ACM International Conference on Information and Knowledge Management (CIKM 2017, CCF B类), Pan Pacific, Singapore, Nov. 6-10, 2017, pp. 2427-2430   2017 CIKM Zhi-Lin.pdf

[142]   Yu-Meng Xu , Chang-Dong Wang * , Jian-Huang Lai .   Weighted Multi-view Clustering with Feature Selection .  Pattern Recognition (IF=4.582,中科院分区表2区), Vol. 53, pp. 25-35, 2016   2016 PR Yumeng Xu.pdf

[143]   Dong Huang , Jian-Huang Lai * , Chang-Dong Wang .   Robust Ensemble Clustering Using Probability Trajectories.  IEEE Transactions on Knowledge and Data Engineering (IF=3.438,中科院分区表2区，CCF A类), Vol. 28, No. 5, pp. 1312-1326, May, 2016   2016_TKDE_Huang.pdf

[144]   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

[145]   Dong Huang , Jian-Huang Lai * , Chang-Dong Wang .   Ensemble Clustering Using Factor Graph.  Pattern Recognition (IF=4.582,中科院分区表2区), Vol. 50, pp. 131-142, 2016   2016 PR_Dong Huang.pdf

[146]   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

[147]   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

[148]   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

[149]   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

[150]   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

[151]   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

[152]   Chang-Dong Wang , Jian-Huang Lai * , Jun-Yong Zhu .   Conscience Online Learning: An Efficient Approach for Robust Kernel-Based Clustering.  Knowledge and Information Systems (IF=2.004,中科院分区表3区), Vol. 31, No. 1, pp. 79-104, 2012.   2011_KAIS_Wang_COLL.pdf

[153]   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

[154]   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