科研进展：修订间差异
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#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Chen M. etc. Semi-Supervised Learning with Multi-Head Co-Training</span></span>. <span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In '''''Proceedings of AAAI2022'''''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">, Accepted</span></span> | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Chen M. etc. Semi-Supervised Learning with Multi-Head Co-Training</span></span>. <span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In '''''Proceedings of AAAI2022'''''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">, Accepted</span></span> | ||
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Jinliang Yuan, Yirong Yao, Ming Xu, Hualei Yu, Junyuan Xie and Chongjun Wang.Graph Structure Learning based on Feature</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">.'''''IDA Journal''''', Accepted</span></span> | #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Jinliang Yuan, Yirong Yao, Ming Xu, Hualei Yu, Junyuan Xie and Chongjun Wang.Graph Structure Learning based on Feature</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">.'''''IDA Journal''''', Accepted</span></span> | ||
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Jinliang Yuan, Meng Cao, Hao Chen, Hualei Yu, Junyuan Xie and Chongjun Wang.A Unified Structure Learning Framework for Graph Attention Networks. '''''NearalComputing''''', | #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Jinliang Yuan, Meng Cao, Hao Chen, Hualei Yu, Junyuan Xie and Chongjun Wang.A Unified Structure Learning Framework for Graph Attention Networks. '''''NearalComputing''''', 2022, 495: 194-204</span></span> | ||
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zhang Y. LAMB: A Novel Algorithm of Label Collaboration based Multi-Label Learning. '''''IDA Journal''''', Accepted</span></span> | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zhang Y. LAMB: A Novel Algorithm of Label Collaboration based Multi-Label Learning. '''''IDA Journal''''', Accepted</span></span> | ||
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Du Y., Zhang R., Zhang X., Yao Y., Lu H., Wang C. Learning transferable and discriminative features for unsupervised domain adaptation. '''''IDA Journal''''', 2022, 26(2): 407-425.</span></span> | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Du Y., Zhang R., Zhang X., Yao Y., Lu H., Wang C. Learning transferable and discriminative features for unsupervised domain adaptation. '''''IDA Journal''''', 2022, 26(2): 407-425.</span></span> | ||