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*<span style="font-size:large;">'''Lu&nbsp;H''', Ge G, Li Y, Wang C, Xie J.&nbsp;</span>  <span style="font-size:large;">&nbsp; &nbsp; &nbsp; &nbsp; Exploiting Global Semantic Similarity </span><span style="font-size:large;">Bitermsfor Short-text Topic Discovery[C].&nbsp;In&nbsp;''Proceedings of ''''ICTAI-18'''''<b>. Volos. Greece, 2018. </b>[Accepted]</span> *<span style="font-size:large;">Du Y, Chen Q,&nbsp;'''Lu H''', Wang C.</span>  &nbsp;<span style="font-size:large;">&nbsp; &nbsp; &nbsp; &nbsp; Online Single Homogeneous Source Transfer Learning Based on AdaBoost. In&nbsp;''Proceedings of ''''ICTAI-18'''''<b>. Volos. Greece, 2018. </b>[Accepted]</span> *<span style="font-size:large;">'''Lu H''', Li Y, Tang C, Wang C, Xie J.&nbsp;</span>  <span style="font-size:large;">&nbsp; &nbsp; &nbsp; &nbsp; Constructing Pseudo Documents with Semantic Similarity for Short Text Topic Discovery[C]. In&nbsp;''Proceedings of ''''ICONIP-18'''''<b>.&nbsp;Siem Reap. Cambodia, 2018. </b>[Accepted]</span> *<span style="font-size:large;">'''Lu H''', Kang N, Li Y, Zhan Q, Xie J, Wang C.&nbsp;</span>  &nbsp;<span style="font-size:large;">&nbsp; &nbsp; &nbsp; &nbsp; 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;">&nbsp; &nbsp; &nbsp; &nbsp; 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;">&nbsp; &nbsp; &nbsp; &nbsp; 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:&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 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; &nbsp; &nbsp; &nbsp;&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''', Li N and&nbsp;Xie J.</span>  &nbsp;<span style="font-size:large;">&nbsp; &nbsp; &nbsp; &nbsp; 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>