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*<span style="font-size:large;">'''Lu H''', Li Y, Tang C, Wang C, Xie J. Constructing Pseudo Documents with Semantic Similarity for Short Text Topic Discovery[C]. In ''Proceedings of ''''ICONIP-18'''''<b>. Siem Reap. Cambodia, 2018. </b>[Accepted]</span>'''
*<span style="font-size:large;">'''Lu H''', Kang N, Li Y, Zhan Q, Xie J, Wang C. Utilizing Recurrent Neural Network for Topic Discovery in Short Text Scenarios[J]. '''''Intelligent Data Analysis''''', 2019, 23(2). [To Appear]</span>
*<span style="font-size:large;">Xie L, Wang L, '''Lu H''', Li N, Wang C. Topics may Evolve: Using Complaint Date for Analysis[C]. In ''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. Don't Forget the Quantifiable Relationship between Words: Using Recurrent Neural Network for Short Text Topic Discovery[C]. In ''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. Biterm Pseudo Document Topic Model for Short Text[C]. In ''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 Xie J. 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. Never Ignore The Significance Of Different Anomalies: A Cost-sensitive Algorithm Based On Loss Function For Anomaly Detection[C]. In ''Proceedings of'' '''''ICTAI-15'''''. Vietri sul Mare, Italy, 2015: 1099-1105. [[https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7372253 PDF]]</span>
