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'''<span style="font-family:微软雅黑; font-size:medium">Selected Paper</span>'''
<p style="text-align:center"><span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger">2024</span></span></p>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zhang J., etc. Shapley-Optimized Reinforcement Learning for Human-Machine Collaboration Policy. In '''''Proceedings of '''''<b>''DASFAA 2024''</b>, Accepted</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Guo M., etc. SMILE: Spiking Multi-modal Interactive Label-guided Enhancement Network for Emotion Recognition. In '''''Proceedings of ICME 2024''''', Accepted</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Yuntao Du, Siqi Luo, yi Xin, MingCai Chen, Shuai Feng, Mujie Zhang, Chongjun Wang. Multi-source Fully Test-Time Adaptation. In '''''Proceedings of ICLR 2024 '''''<i>'''Workshop PML4LRs'''</i>, Accepted</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Liu Z., Xia C., He W., Wang C. Trustworthiness and Self-awareness in Large Language Models: An Exploration through the Think-Solve-Verify Framework. In '''''Proceedings of '''''<i>'''Coling'''</i>''''' 2024''''', Accepted</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Liu Z., etc. '''Are Transformer-based Models More Robust than CNN-based Models?'''. '''Neural Networks''', Accepted</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Li S., etc. SEEKING SIMILARITIES WHILE REMOVING DIFFERENCES: GRAPH NEURAL NETWORKS BASED ON NODE CORRELATION. In '''''Proceedings of ICASSP 2024''''', Accepted</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Liu Z., etc. Understanding Data Augmentation from a Robustness Perspective. In '''''Proceedings of ICASSP 2024''''', Accepted</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Liu Z., etc. From Game Theory to Visual Recognition: Advancing DNN Robustness. In '''''Proceedings of ICASSP 2024''''', Accepted</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Jiang W., etc. EDOS: Diverse Outlier Sampling for Out-of-Distribution Detection. In '''''Proceedings of ICLR 2024''''', Accepted</span></span>
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Liu M., Kirill K., Wang C. The Implementations and Applications of Elliptic Curve Cryptography. In '''''Proceedings of CATA 2024'''''( 39th International Conference on Computers and Their Applications), '''Best Paper Award'''.</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Feng S., Jin P., Wang C. CASE: Exploiting Intra-class Compactness and Inter-class Separability of Feature Embeddings for Out-of-Distribution Detection. In '''''Proceedings of AAAI 2024'''''</span></span>: <span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">21081-21089</span></span>
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;"> Shanli Tan, Hao Cheng, Xiaohu Wu, Han Yu, Tiantian He, Yew Soon Ong, Chongjun Wang, Xiaofeng Tao. FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants. In '''''Proceedings of AAAI 2024''''': 15231-15239</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;">吴骏等.一种基于算法机制设计的社会法则合成方法.'''''软件学报''''', 2024, 35(3): 1440-1465</span></span>
<p style="text-align:center"><span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger">2023</span></span></p>
#<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>
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Zhang B. Xu M. Chen M., Chen M. Wang C. CopGAT: Co-propagation Self-supervised Graph Attention Network. In '''''Proceedings of '''''<i>'''ISPA 2022'''</i>: 18-25</span></span>
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Yu H., etc. DIPool: Degree-Induced Pooling for Hierarchical Graph Representation Learning. In '''''Proceedings of '''''<i>'''ISPA 2022'''</i>: 220-227</span></span>
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Changfeng Ma, Yang Yang, Jie Guo, Fei Pan, Chongjun Wang, Yanwen Guo. Unsupervised Point Cloud Completion and Segmentation by Generative Adversarial Autoencoding Network[C].</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;"> </span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In '''''Proceedings of ''''' '''''NIPS 2022'''''</span></span>
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Zhendong Liu, Wenyu Jiang, Yi Zhang, Chongjun Wang. FIXC: A Method for Data Distribution Shifts Calibration via Feature Importance[C]. </span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;"> </span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In '''''Proceedings of '''''<i>'''ICTAI 2022'''</i>: 153-160</span></span>