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]   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]   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

[7]   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

[8]   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

[9]   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

[10]   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

[11]   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

[12]   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

[13]   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

[14]   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

[15]   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

[16]   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

[17]   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

[18]   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

[19]   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

[20]   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

[21]   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

[22]   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

[23]   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

[24]   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

[25]   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

[26]   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

[27]   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

[28]   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

[29]   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

[30]   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

[31]   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

[32]   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

[33]   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

[34]   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

[35]   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

[36]   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

[37]   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

[38]   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

[39]   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

[40]   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

[41]   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

[42]   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

[43]   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

[44]   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

[45]   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

[46]   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

[47]   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

[48]   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

[49]   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

[50]   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

[51]   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

[52]   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

[53]   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

[54]   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

[55]   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

[56]   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