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科研进展

添加3,799字节, 2024年4月13日 (星期六)
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= '''<span style="color:#800000"><span style="font-size:smaller">研究成果</span></span>''' =
'''<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. &nbsp;Shapley-Optimized Reinforcement Learning for Human-Machine Collaboration Policy. In&nbsp;'''''Proceedings of&nbsp;'''''<b>''DASFAA 2024''</b>,&nbsp;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&nbsp;'''''Proceedings of ICME 2024''''',&nbsp;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&nbsp;'''''Proceedings of ICLR 2024&nbsp;'''''<i>'''Workshop PML4LRs'''</i>,&nbsp;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&nbsp;'''''Proceedings of&nbsp;'''''<i>'''Coling'''</i>'''''&nbsp;2024''''',&nbsp;Accepted</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Liu Z., etc.&nbsp;'''Are Transformer-based Models More Robust than CNN-based Models?'''.&nbsp;'''Neural Networks''',&nbsp;Accepted</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Li&nbsp;S., etc. SEEKING SIMILARITIES WHILE REMOVING DIFFERENCES: GRAPH NEURAL NETWORKS BASED ON NODE CORRELATION.&nbsp;In&nbsp;'''''Proceedings of ICASSP 2024''''',&nbsp;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.&nbsp;In&nbsp;'''''Proceedings of ICASSP 2024''''',&nbsp;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.&nbsp;In&nbsp;'''''Proceedings of ICASSP 2024''''',&nbsp;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.&nbsp;In&nbsp;'''''Proceedings of ICLR 2024''''',&nbsp;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&nbsp;'''''Proceedings of CATA 2024'''''( 39th International Conference on Computers and Their Applications),&nbsp;'''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.&nbsp;In&nbsp;'''''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;">&nbsp;Shanli Tan, Hao Cheng, Xiaohu Wu, Han Yu, Tiantian He, Yew Soon Ong, Chongjun Wang, Xiaofeng Tao.&nbsp;FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants.&nbsp;In&nbsp;'''''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.&nbsp;In&nbsp;'''''Proceedings of ACML 2023''''',&nbsp;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''''',&nbsp;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>
&nbsp; #<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.&nbsp;In&nbsp;'''''Proceedings of ACML 2023''''',&nbsp;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.&nbsp;A Flexible Debiasing Framework for Fair Heterogeneous Information Network Embedding. In</span></span>&nbsp;<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">'''''Proceedings of ECAI 2023''''',&nbsp;Accepted&nbsp;2023,&nbsp;343-350</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Du Y., Jiang J.,&nbsp;Luo H., Haiyang Yang , Mingcai Chen, and Chongjun Wang. Bidirectional View based Consistency Regularization for Semi-Supervised&nbsp;Domain Adaptation[J]. '''Transactions on Machine Learning Research''', 2023:1-17</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Cao M., Yuan J., Yu H., Zhang B. and Wang C.&nbsp;Self-supervised short text classification with heterogeneous graph neural networks.'''Expert Systems'''</span></span>.&nbsp;<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">2023, 40(6):</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Cheng H. etc.Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation.&nbsp;&nbsp;In&nbsp;'''''Proceedings of IJCAI 2023''''',&nbsp;2023,&nbsp;2581-2588</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Ma C., Chen Y., Guo P., Guo J., Wang C., Guo Y. Symmetric Shape-Preserving Autoencoder for Unsupervised Real Scene Point Cloud Completion.&nbsp;In&nbsp;'''''Proceedings of CVPR 2023''''',&nbsp;2023:13560-13569</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Yuan J., Yu H., Cao M., Song J., Xie J., Wang C.&nbsp;Self-Supervised Robust Graph Neural Networks against Noisy Graphs and Noisy Labels[J].&nbsp;'''''A'''''<i>'''pplied Intelligence'''</i>,&nbsp;Accepted2023: 53(21): 25154-25170</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Shuai Feng, Wenyu Jiang, Mingcai Chen, Yuntao Du, Hao Cheng, Chongjun Wang.CESED: Exploiting Hyperspherical Predefined Evenly-Distributed Class Centroids for OOD Detection.&nbsp;&nbsp;In&nbsp;'''''Proceedings of SDM 2023''''':262-270</span></span>
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Wenyu Jiang, Yuxin Ge, Hao Cheng, Mingcai Chen, Shuai Feng, Chongjun Wang.&nbsp;READ: Aggregating Reconstruction Error into Out-of-distribution Detection.&nbsp;&nbsp;In&nbsp;'''''Proceedings of AAAI 2023''''', 2023:&nbsp;14910-14918</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.&nbsp;CopGAT: Co-propagation Self-supervised Graph Attention Network.&nbsp;In&nbsp;'''''Proceedings of&nbsp;'''''<i>'''ISPA 2022'''</i>:&nbsp;18-25</span></span>
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Yu H., etc.&nbsp;DIPool: Degree-Induced Pooling for Hierarchical Graph Representation Learning.&nbsp;In&nbsp;'''''Proceedings of&nbsp;'''''<i>'''ISPA 2022'''</i>: 220-227</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''''',录用</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;">&nbsp;</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In&nbsp;'''''Proceedings of&nbsp;'''''&nbsp;'''''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.&nbsp;FIXC: A Method for Data Distribution Shifts Calibration via Feature Importance[C].&nbsp;</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">&nbsp;</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In&nbsp;'''''Proceedings of&nbsp;'''''<i>'''ICTAI 2022'''</i>: 153-160</span></span>
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