科研进展：修订间差异
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'''<span style="font-family:微软雅黑; font-size:medium">Selected Paper</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">2020</span></span></p> | <p style="text-align:center"><span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger">2020</span></span></p> | ||
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Qiao Y., Wu J., Cheng H., Huang Z., Wang C. | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Qiao Y., Wu J., Cheng H., Huang Z., Wang C. Truthful Mechanisms Design for Multi-region Mobile Crowdsensing[J]. '''''Wireless Communications and Mobile Computing'''''. Accepted</span></span> | ||
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Chen Q, Du Y, Tan Z, Zhang Y and Wang C. Unsupervised Domain Adaptation with Joint Domain-Adversarial Reconnstructionn Networks[C]. In '''''Proceedings of ECML - PKDD 2020''''', Accepted</span></span> | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Chen Q, Du Y, Tan Z, Zhang Y and Wang C. Unsupervised Domain Adaptation with Joint Domain-Adversarial Reconnstructionn Networks[C]. In '''''Proceedings of ECML - PKDD 2020''''', Accepted</span></span> | ||
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zhang Y,, Zhang Z., Zhu Y., Zhang L., and Wang C. Discriminative Multi-label Moel Reuse for Multi-label Learning[C]. In '''''Proceedings of APWeb - WAIM 2020''''', Accepted</span></span> | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zhang Y,, Zhang Z., Zhu Y., Zhang L., and Wang C. Discriminative Multi-label Moel Reuse for Multi-label Learning[C]. In '''''Proceedings of APWeb - WAIM 2020''''', Accepted</span></span> | ||