更改

跳转至: 导航搜索

Luhy

添加132字节, 2018年10月8日 (一) 19:41
无编辑摘要
----
 
&nbsp;<span style="font-size:x-large;">Conferences</span>
*<span style="font-size:large;">'''Lu&nbsp;H''', Ge G, Li Y, Wang C, Xie J.&nbsp;Exploiting Global Semantic Similarity Bitermsfor Short-text Topic Discovery[C].&nbsp;In&nbsp;''Proceedings of'''&nbsp;''' '''ICTAI-18'''''. Volos. Greece, 2018. [Accepted]</span>
*<span style="font-size:large;">Du Y, Chen Q,&nbsp;'''Lu H''', Wang C.</span>&nbsp;<span style="font-size:large;">Online Single Homogeneous Source Transfer Learning Based on AdaBoost.In&nbsp;''Proceedings of&nbsp; '''ICTAI-18'''''.&nbsp;Volos. Greece, 2018.[Accepted]</span>
*<span style="font-size:large;">'''Lu H''', Li Y, Tang C, Wang C, Xie J.&nbsp;Constructing Pseudo Documents with Semantic Similarity for Short Text Topic Discovery[C].In&nbsp;''Proceedings of '''ICONIP-18'''''.'''&nbsp;'''Siem Reap. Cambodia, 2018.[Accepted]</span>'''
*<span style="font-size:large;">'''Lu H''', Kang N, Li Y, Zhan Q, Xie J, Wang C.</span>&nbsp;<span style="font-size:large;">Utilizing Recurrent Neural Network for Topic Discovery in Short Text&nbsp;Scenarios[J].&nbsp;'''''Intelligent Data Analysis''''', 2019, 23(2). [To Appear]</span>
*<span style="font-size:large;">Xie L, Wang L, '''Lu H''', Li N, Wang C.</span>&nbsp;<span style="font-size:large;">Topics may Evolve: Using Complaint Date for Analysis[C]. In&nbsp;''Proceedings of '''ICTAI-17'''''. Boston, MA. USA, 2017: 1296-1303. [[https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8372098 PDF]]</span>
*<span style="font-size:large;">'''Lu H''', Xie L, Kang N, Wang C and Xie J.</span>&nbsp;<span style="font-size:large;">Don't Forget the Quantifiable Relationship between Words: Using Recurrent Neural Network for Short Text Topic Discovery[C]. In&nbsp;''Proceedings of '''AAAI-17'''''. San Francisco, USA, 2017:1192-1198. [[https://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14172/13900 PDF]]</span>
*<span style="font-size:large;">Jiang L, '''Lu H''', Xu M and Wang C.</span><span style="font-size:large;">&nbsp;Biterm Pseudo Document Topic Model for Short Text[C]. In&nbsp;''Proceedings of '''ICTAI-16'''''. San Jose, USA, 2016: 865-872. [[https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7814694 PDF]]</span>
*<span style="font-size:large;">'''Lu H''', Chen F, Xu M, Wang C and Xie J.</span>&nbsp;<span style="font-size:large;">Never Ignore The Significance Of Different Anomalies: A Cost-sensitive Algorithm Based On Loss Function For Anomaly Detection[C]. In&nbsp; ''Proceedings of''&nbsp;'''''ICTAI-15'''''. Vietri sul Mare,&nbsp;Italy,&nbsp;2015: 1099-1105. [[https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7372253 PDF]]</span>
 
<span style="font-size:x-large;">Journals​​​​​​​</span>
 
*<span style="font-size:large;">'''Lu H''', Kang N, Li Y, Zhan Q, Xie J, Wang C.</span>&nbsp;<span style="font-size:large;">Utilizing Recurrent Neural Network for Topic Discovery in Short Text&nbsp;Scenarios[J].&nbsp;'''''Intelligent Data Analysis''''', 2019, 23(2). [To Appear]</span>
*<span style="font-size:large;">'''Lu H''', Li N and&nbsp;Xie J.</span>&nbsp;<span style="font-size:large;">A Region of Interest Detection Method for Mammography based on Multi-cue Feature Integration[J]. '''''Journal of Nanjing University: Nat Sci Ed''''', 2016, 52(1): 194-202.</span>
*<span style="font-size:large;">'''Lu H''', Chen F, Xu M, Wang C and Xie J.</span>&nbsp;<span style="font-size:large;">Never Ignore The Significance Of Different Anomalies: A Cost-sensitive Algorithm Based On Loss Function For Anomaly Detection[C]. In&nbsp;''Proceedings of''&nbsp;'''''ICTAI-15'''''. Vietri sul Mare,&nbsp;Italy,&nbsp;2015: 1099-1105. [[https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7372253 PDF]]</span>
<span style="font-size:x-large;">'''<span style="color:#c0392b;">Teaching Assistants</span>'''</span>
456
个编辑

导航菜单