| 2026 | ACL | AscendKernelGen: LLM-Driven Kernel Generation for NPUs. | 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 |
| 2026 | IWCMC | SEUT: Semantic-Aware Multimodal Medical Data Transmission for Multi-Center Collaborative Diagnosis. | Zi-Xuan Yuan, Chang-Dong Wang, Pei-Yuan Lai, Tao Yu |
| 2025 | AAAI | Erase Then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning. | Zhe-Rui Yang, Jindong Han, Chang-Dong Wang, Hao Liu |
| 2025 | COLING | Learning Transition Patterns by Large Language Models for Sequential Recommendation. | Jianyang Zhai, Zi-Feng Mai, Dongyi Zheng, Chang-Dong Wang, Xiawu Zheng, Hui Li, Feidiao Yang, Yonghong Tian |
| 2025 | DASFAA | Hypergraph Enhanced Knowledge Tree Prompt Learning for Next-Basket Recommendation. | Zi-Feng Mai, Jianyang Zhai, Naiqing Li, Chang-Dong Wang, Zhongjie Zeng, Ya Li, Jiaquan Chen |
| 2025 | ICDE | Online Feature Selection with Varying Feature Spaces (Extended Abstract). | Shengda Zhuo, Jin-Jie Qiu, Chang-Dong Wang, Shuqiang Huang |
| 2025 | ICDM | AdaGen: Adaptive Domain-Specific Classification via Zero-Shot Dataset Generation. | Zhan-Hao Xu, Fei-Yao Liang, Hui-Yu Zhou, Chang-Dong Wang |
| 2025 | ICDM | CL | Yu-Xuan Zhou, Ru-Bin Li, Zhe Xuanyuan, Pei-Yuan Lai, Chang-Dong Wang |
| 2025 | ICLR | Multimodal Quantitative Language for Generative Recommendation. | Jianyang Zhai, Zi-Feng Mai, Chang-Dong Wang, Feidiao Yang, Xiawu Zheng, Hui Li, Yonghong Tian |
| 2025 | ICPADS | Multi-View Clustering via Flexible Dual-Level Fusion. | Guangyu Zhang, Jiaming Deng, Zihao Wen, Dong Huang, Chang-Dong Wang |
| 2025 | ICPADS | Dual-Level Facilitated Multi-View Contrastive Graph Clustering. | Guangyu Zhang, Zi-Ying Li, Hai-Yan Wang, Dong Huang, Chang-Dong Wang, Yang Liu |
| 2025 | KDD | GraphLoRA: Structure-Aware Contrastive Low-Rank Adaptation for Cross-Graph Transfer Learning. | Zhe-Rui Yang, Jindong Han, Chang-Dong Wang, Hao Liu |
| 2024 | AAAI | Knowledge-Aware Explainable Reciprocal Recommendation. | Kai-Huang Lai, Zhe-Rui Yang, Pei-Yuan Lai, Chang-Dong Wang, Mohsen Guizani, Min Chen |
| 2024 | DASFAA | OR | Pei-Yuan Lai, Yu-Xuan Zhou, Cheng Li, Shi-Yu Liu, Xiao-Dong Liao, De-Zhang Liao, Chang-Dong Wang |
| 2024 | DASFAA | GPSR: Graph Prompt for Session-Based Recommendation. | Cheng Li, Pei-Yuan Lai, Yi-Hong Lu, De-Zhang Liao, Xiao-Dong Huang, Chang-Dong Wang |
| 2024 | ICDM | HomoMGC: Homophily-Enhanced Adaptive Graph Refinement for Multi-View Graph Clustering. | Man-Sheng Chen, Xiaosha Cai, Chang-Dong Wang, Dong Huang, Min Chen, Mohsen Guizani |
| 2024 | ICDM | RecCoder: Reformulating Sequential Recommendation as Large Language Model-Based Code Completion. | Kai-Huang Lai, Wu-Dong Xi, Xing-Xing Xing, Wei Wan, Chang-Dong Wang, Min Chen, Mohsen Guizani |
| 2024 | ICDM | Contrastive Learning for Adapting Language Model to Sequential Recommendation. | Fei-Yao Liang, Wu-Dong Xi, Xing-Xing Xing, Wei Wan, Chang-Dong Wang, Min Chen, Mohsen Guizani |
| 2024 | ICDM | Cross-Store Next-Basket Recommendation. | Liang-Chen Ma, Ya Li, Zi-Feng Mai, Fei-Yao Liang, Chang-Dong Wang, Min Chen, Mohsen Guizani |
| 2024 | IJCNN | Confidence-oriented Contrastive Graph Clustering. | Yan-Di Huang, Guang-Yu Zhang, Dong Huang, Chang-Dong Wang, Yang Liu, Enbo Huang |
| 2024 | IWCMC | Temporal Hierarchical Graph Attention Network for Traffic Prediction with Prompt Learning. | Cheng Li, Pei-Yuan Lai, Yu-Xuan Zhou, Chang-Dong Wang |
| 2024 | WiMob | Resource-Aware Split Federated Learning for Fall Detection in the Metaverse. | Mohamad Wazzeh, Ahmad Hammoud, Mohsen Guizani, Azzam Mourad, Hadi Otrok, Chamseddine Talhi, Zbigniew Dziong, Chang-Dong Wang |
| 2023 | ADMA | ProtoMix: Learnable Data Augmentation on Few-Shot Features with Vector Quantization in CTR Prediction. | Haijun Zhao, Ronghai Xu, Chang-Dong Wang, Ying Jiang |
| 2023 | DASFAA | ALGCN: Accelerated Light Graph Convolution Network for Recommendation. | Ronghai Xu, Haijun Zhao, Zhi-Yuan Li, Chang-Dong Wang |
| 2023 | ICDM | Telecom Fraud Detection Based on Feature Binning and Autoencoder. | Fei-Yao Liang, Fei-Peng Li, Ronghai Xu, Wei Cheng, Shi-Xian Deng, Zhe-Rui Yang, Chang-Dong Wang |
| 2023 | ICDM | Hypergraph Attribute Attention Network for Community Recommendation. | Kang Li, Wu-Dong Xi, Xing-Xing Xing, Chang-Dong Wang |
| 2023 | ICDM | Auto Graph Filtering for Bundle Recommendation. | Xiang-Long Li, Wu-Dong Xi, Xing-Xing Xing, Chang-Dong Wang |
| 2023 | ICDM | PKAT: Pre-training in Collaborative Knowledge Graph Attention Network for Recommendation. | Yi-Hong Lu, Chang-Dong Wang, Pei-Yuan Lai, Jian-Huang Lai |
| 2023 | ICDM | MCRec: Multi-channel Gated Gifts Recommendation. | Ting-Ting Su, Wu-Dong Xi, Xing-Xing Xing, Chang-Dong Wang |
| 2023 | KDD | GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification. | Wen-Zhi Li, Chang-Dong Wang, Hui Xiong, Jian-Huang Lai |
| 2023 | KDD | HomoGCL: Rethinking Homophily in Graph Contrastive Learning. | Wen-Zhi Li, Chang-Dong Wang, Hui Xiong, Jian-Huang Lai |
| 2023 | WSDM | Self-Supervised Group Graph Collaborative Filtering for Group Recommendation. | Kang Li, Chang-Dong Wang, Jian-Huang Lai, Huaqiang Yuan |
| 2022 | ICANN | D-TRACE: Deep Triply-Aligned Clustering. | Ding-Hua Chen, Dong Huang, Haiyan Cheng, Chang-Dong Wang |
| 2022 | ICDM | A Bi-directional Recommender System for Online Recruitment. | Zhe-Rui Yang, Zhenyu He, Chang-Dong Wang, Pei-Yuan Lai, De-Zhang Liao, Zhong-Zheng Wang |
| 2022 | KDD | Efficient Orthogonal Multi-view Subspace Clustering. | Man-Sheng Chen, Chang-Dong Wang, Dong Huang, Jian-Huang Lai, Philip S. Yu |
| 2021 | AAAI | Hybrid-order Stochastic Block Model. | Xunxun Wu, Chang-Dong Wang, Pengfei Jiao |
| 2021 | DASFAA | Consistency- and Inconsistency-Aware Multi-view Subspace Clustering. | Guang-Yu Zhang, Xiao-Wei Chen, Yu-Ren Zhou, Chang-Dong Wang, Dong Huang |
| 2021 | ICDM | StarGAT: Star-Shaped Hierarchical Graph Attentional Network for Heterogeneous Network Representation Learning. | Wen-Zhi Li, Ling Huang, Chang-Dong Wang, Yuxin Ye |
| 2021 | ICDM | PRGAN: Personalized Recommendation with Conditional Generative Adversarial Networks. | Jing Wen, Bi-Yi Chen, Chang-Dong Wang, Zhihong Tian |
| 2021 | IJCNN | Attention-based Multi-proximity Preserved Attributed Network Embedding. | Xing-Xing Liu, Kai Wang, Chang-Dong Wang, Ling Huang |
| 2021 | IJCNN | Session-based Recommendation with Heterogeneous Graph Neural Networks. | Lei Xu, Wu-Dong Xi, Chang-Dong Wang |
| 2020 | AAAI | Multi-View Clustering in Latent Embedding Space. | Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang |
| 2020 | DASFAA | Latent Space Clustering via Dual Discriminator GAN. | Heng-Ping He, Pei-Zhen Li, Ling Huang, Yu-Xuan Ji, Chang-Dong Wang |
| 2020 | ICDM | Graph Pooling with Representativeness. | Juan-Hui Li, Yao Ma, Yiqi Wang, Charu C. Aggarwal, Chang-Dong Wang, Jiliang Tang |
| 2020 | PAKDD | Spectral Clustering by Subspace Randomization and Graph Fusion for High-Dimensional Data. | Xiaosha Cai, Dong Huang, Chang-Dong Wang, Chee-Keong Kwoh |
| 2019 | AAAI | DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System. | Zhi-Hong Deng, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu |
| 2019 | AAAI | Higher-Order Multi-Layer Community Detection. | Ling Huang, Chang-Dong Wang, Hong-Yang Chao |
| 2019 | CVPR | Generative Dual Adversarial Network for Generalized Zero-Shot Learning. | He Huang, Changhu Wang, Philip S. Yu, Chang-Dong Wang |
| 2019 | DASFAA | Multi-view Spectral Clustering via Multi-view Weighted Consensus and Matrix-Decomposition Based Discretization. | Man-Sheng Chen, Ling Huang, Chang-Dong Wang, Dong Huang |
| 2019 | DASFAA | Relevance-Based Entity Embedding. | Weixin Zeng, Xiang Zhao, Jiuyang Tang, Jinzhi Liao, Chang-Dong Wang |
| 2019 | ICDM | Multi-view Outlier Detection in Deep Intact Space. | Yu-Xuan Ji, Ling Huang, Heng-Ping He, Chang-Dong Wang, Guangqiang Xie, Wei Shi, Kun-Yu Lin |
| 2019 | ICDM | Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering. | Youwei Liang, Dong Huang, Chang-Dong Wang |
| 2019 | ICDM | Constrained Matrix Factorization for Course Score Prediction. | Shi-Ting Zhong, Ling Huang, Chang-Dong Wang, Jian-Huang Lai |
| 2019 | IJCAI | BPAM: Recommendation Based on BP Neural Network with Attention Mechanism. | Wu-Dong Xi, Ling Huang, Chang-Dong Wang, Yin-Yu Zheng, Jianhuang Lai |
| 2019 | KDD | EdMot: An Edge Enhancement Approach for Motif-aware Community Detection. | Pei-Zhen Li, Ling Huang, Chang-Dong Wang, Jian-Huang Lai |
| 2018 | DASFAA | Multi-view Proximity Learning for Clustering. | Kun-Yu Lin, Ling Huang, Chang-Dong Wang, Hong-Yang Chao |
| 2018 | DASFAA | Attributed Network Embedding with Micro-meso Structure. | Juan-Hui Li, Chang-Dong Wang, Ling Huang, Dong Huang, Jian-Huang Lai, Pei Chen |
| 2018 | DASFAA | Direction Recovery in Undirected Social Networks Based on Community Structure and Popularity. | Yi-Ming Wen, Chang-Dong Wang, Kun-Yu Lin |
| 2018 | DASFAA | Low-Rank and Sparse Cross-Domain Recommendation Algorithm. | Zhi-Lin Zhao, Ling Huang, Chang-Dong Wang, Dong Huang |
| 2018 | ICDM | dpMood: Exploiting Local and Periodic Typing Dynamics for Personalized Mood Prediction. | He Huang, Bokai Cao, Philip S. Yu, Chang-Dong Wang, Alex D. Leow |
| 2018 | ICDM | A Harmonic Motif Modularity Approach for Multi-layer Network Community Detection. | Ling Huang, Chang-Dong Wang, Hong-Yang Chao |
| 2017 | CIKM | Missing Value Learning. | Zhi-Lin Zhao, Chang-Dong Wang, Kun-Yu Lin, Jian-Huang Lai |
| 2017 | ICONIP | LWMC: A Locally Weighted Meta-Clustering Algorithm for Ensemble Clustering. | Dong Huang, Chang-Dong Wang, Jian-Huang Lai |
| 2017 | ICONIP | A Hybrid Approach for Recovering Information Propagational Direction. | Xiang-Rui Peng, Ling Huang, Chang-Dong Wang |
| 2017 | ICONIP | Tinnitus EEG Classification Based on Multi-frequency Bands. | Shao-Ju Wang, Yue-Xin Cai, Zhi-Ran Sun, Chang-Dong Wang, Yi-Qing Zheng |
| 2017 | ICONIP | Social and Content Based Collaborative Filtering for Point-of-Interest Recommendations. | Yi-Ning Xu, Lei Xu, Ling Huang, Chang-Dong Wang |
| 2017 | ICONIP | Low-Rank and Sparse Matrix Completion for Recommendation. | Zhi-Lin Zhao, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, Philip S. Yu |
| 2017 | IJCNN | Weighted numerical and categorical attribute clustering in data streams. | Wen-Bin Liang, Chang-Dong Wang, Jian-Huang Lai |
| 2017 | IJCNN | Text clustering using enhanced PLSA with word correlation. | Qian Zuo, Chang-Dong Wang, Jian-Huang Lai |
| 2017 | KSEM | Multi-view Unit Intact Space Learning. | Kun-Yu Lin, Chang-Dong Wang, Yu-Qin Meng, Zhi-Lin Zhao |
| 2017 | PAKDD | Community Detection in Graph Streams by Pruning Zombie Nodes. | Yue Ding, Ling Huang, Chang-Dong Wang, Dong Huang |
| 2016 | ICPR | Ensemble-driven support vector clustering: From ensemble learning to automatic parameter estimation. | Dong Huang, Chang-Dong Wang, Jian-Huang Lai, Yun Liang, Shan Bian, Yu Chen |
| 2016 | IJCNN | Modularity optimization by Global-Local Search. | Xun Wang, Chang-Dong Wang, Jian-Huang Lai |
| 2016 | IJCNN | FTMF: Recommendation in social network with Feature Transfer and Probabilistic Matrix Factorization. | Zhi-Lin Zhao, Chang-Dong Wang, Yuan-Yu Wan, Jian-Huang Lai, Dong Huang |
| 2016 | TrustCom | CSBD: A Nonlinear Clustering Method Based on Cluster Shrinking and Border Detection. | Chao Chen, Kun-Yu Lin, Chang-Dong Wang, Dong Huang |
| 2016 | TrustCom | Community Detection in Complicated Network Based on the Multi-view Weighted Signed Permanence. | Juan-Hui Li, Pei-Zhen Li, Chang-Dong Wang, Jian-Huang Lai |
| 2016 | VCIP | Online visual tracking via correlation filter with convolutional networks. | Zheng Li, Jianfei Yang, Juan Zha, Chang-Dong Wang, Wei-Shi Zheng |
| 2014 | ICMLA | Topic Detection in Instant Messages. | Han Zhang, Chang-Dong Wang, Jian-Huang Lai |
| 2013 | SDM | Dynamic Community Detection in Weighted Graph Streams. | Jian-Huang Lai, Chang-Dong Wang, Philip S. Yu |
| 2012 | ICPR | Incremental support vector clustering with outlier detection. | Dong Huang, Jian-Huang Lai, Chang-Dong Wang |
| 2011 | ICDM | Kernel-Based Clustering with Automatic Cluster Number Selection. | Chang-Dong Wang, Jian-Huang Lai, Dong Huang |
| 2011 | ICDM | Incremental Support Vector Clustering. | Chang-Dong Wang, Jian-Huang Lai, Dong Huang |
| 2011 | ICDM | A Novel Co-clustering Method with Intra-similarities. | Jian-Sheng Wu, Jian-Huang Lai, Chang-Dong Wang |
| 2010 | ICDM | A Conscience On-line Learning Approach for Kernel-Based Clustering. | Chang-Dong Wang, Jian-Huang Lai, Jun-Yong Zhu |