Yi Zhang @ IIP, NJU-CS：修订间差异
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*<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Du, Y., Tan, Z., Chen, Q., '''Zhang, Y.''', & Wang, C.</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">(2020, August)</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">. Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization. </span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">''In Proceedings of 24th European Conference on Artificial Intelligence - ECAI 2020 ''(pp. 1111-1118).</span></span> | *<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Du, Y., Tan, Z., Chen, Q., '''Zhang, Y.''', & Wang, C.</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">(2020, August)</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">. Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization. </span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">''In Proceedings of 24th European Conference on Artificial Intelligence - ECAI 2020 ''(pp. 1111-1118).</span></span> | ||
*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Zhu, Y., & '''Zhang, Y.''' (2020, July). M3LA: A Novel Approach Based on Encoder-Decoder with Attention Framework for Multi-modal Multi-label Learning. In ''2020 International Joint Conference on Neural Networks (IJCNN)'' (pp. 1-8). IEEE.</span></span> | *<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Zhu, Y., & '''Zhang, Y.''' (2020, July). M3LA: A Novel Approach Based on Encoder-Decoder with Attention Framework for Multi-modal Multi-label Learning. In ''2020 International Joint Conference on Neural Networks (IJCNN)'' (pp. 1-8). IEEE.</span></span> | ||
*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Chen, Q., Du, Y., Tan, Z., '''Zhang, Y. | *<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Chen, Q., Du, Y., Tan, Z., '''Zhang, Y.''', & Wang, C. (2020, September). Unsupervised domain adaptation with joint domain-adversarial reconstruction networks. ''In Joint European Conference on Machine Learning and Knowledge Discovery in Databases'' (pp. 640-656). Springer, Cham.</span></span> | ||
*<span style="font- | *<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Shen, J., '''Zhang, Y.''', Yu, C., & Wang, C. (2020, December). Multi-view Multi-label Learning with Dual-Attention Networks for Stroke Screen. ''In 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)'' (pp. 1124-1128). IEEE.</span></span> | ||
*<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Lu, H. Y., Zhang, Y., & Du, Y. (2021). SenU-PTM: a novel phrase-based topic model for short-text topic discovery by exploiting word embeddings. ''Data Technologies and Applications''.</span></span> | *<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Lu, H. Y., Zhang, Y., & Du, Y. (2021). SenU-PTM: a novel phrase-based topic model for short-text topic discovery by exploiting word embeddings. ''Data Technologies and Applications''.</span></span> | ||