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#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">CASE: Exploiting Intra-class Compactness and Inter-class Separability of Feature Embeddings for Out-of-Distribution Detection. In '''''Proceedings of AAAI 2024''''', Accepted</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants. In '''''Proceedings of AAAI 2024''''', Accepted</span></span>
#<span style="font-size: medium; "><span style="font-family:Times New Roman,Times,serif;">Yuntao Du, Haiyang Yang, Mingcai Chen, Hongtao Luo, Juan Jiang, Chongjun Wang. Generation, Augmentation, and Alignment: A Pseudo-Source Domain Based Method for Source-Free Domain Adaptation. In '''''Proceedings of ACML 2023''''', Accepted</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Cao M.,Chen M., Song J., Fang C., Wang C. A Flexible Debiasing Framework for Fair Heterogeneous Information Network Embedding. In</span></span> <span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">'''''Proceedings of ECAI 2023''''', 2023, 343-350</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Du Y., Jiang J., Luo H., Haiyang Yang , Mingcai Chen, and Chongjun Wang. Bidirectional View based Consistency Regularization for Semi-Supervised Domain Adaptation[J]. '''Transactions on Machine Learning Research''', 2023:1-17</span></span>
