''' <span style="font-size:x-large;">Conferences</span>'''
*'''<span style="font-size:large;">· Exploiting Global Semantic Similarity Bitermsfor Short-text Topic Discovery</span>''' <span style="font-size:large;">'''Lu H''', Ge G, Li Y, Wang C, Xie J. Exploiting Global Semantic Similarity Bitermsfor Short</span> <span style="font-text Topic Discovery[C]. size:large;">In ''Proceedings of''' ''' '''ICTAI-18'''''. Volos. Greece, 2018. [Accepted]</span> *'''<span style="font-size:large;">· Online Single Homogeneous Source Transfer Learning Based on AdaBoost</span>''' <span style="font-size:large;">Du Y, Chen Q, '''Lu H''', Wang C.</span> <span style="font-size:large;">Online Single Homogeneous Source Transfer Learning Based on AdaBoost.In ''Proceedings of '''ICTAI-18'''''. Volos. Greece, 2018.[Accepted]</span> *'''<span style="font-size:large;">· Constructing Pseudo Documents with Semantic Similarity for Short Text Topic Discovery</span>''' <span style="font-size:large;">'''Lu H''', Li Y, Tang C, Wang C, Xie J. </span> <span style="font-size:large;Constructing Pseudo Documents with Semantic Similarity for Short Text Topic Discovery[C].">In ''Proceedings of '''ICONIP-18'''''.''' '''Siem Reap. Cambodia, 2018.[Accepted]</span>''' *'''<span style="font-size:large;">· Topics may Evolve: Using Complaint Date for Analysis </span>'''<span style="font-size:large;">[[https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8372098 PDF]]</span> <span style="font-size:large;">Xie L, Wang L, '''Lu H''', Li N, Wang C.</span> <span style="font-size:large;">Topics may Evolve: Using Complaint Date for Analysis[C]. In ''Proceedings of '''ICTAI-17'''''. Boston, MA. USA, 2017: 1296-1303. </span> '''<span style="font-size:large;">· Don't Forget the Quantifiable Relationship between Words: Using Recurrent Neural Network for Short Text Topic Discovery </span>'''<span style="font-size:large;">[[https://ieeexplore.ieeeaaai.org/stampocs/stampindex.jsp?tp=&arnumber=8372098 php/AAAI/AAAI17/paper/view/14172/13900 PDF]]</span> *<span style="font-size:large;">'''Lu H''', Xie L, Kang N, Wang C and Xie J.</span> <span style="font-size:large;">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. </span> <span style="font-size:large;">'''· ''''''Biterm''''''Pseudo Document Topic Model for Short Text''' [[https://aaaiieeexplore.ieee.org/ocsstamp/indexstamp.php/AAAI/AAAI17/paper/view/14172/13900 jsp?tp=&arnumber=7814694 PDF]]</span> *<span style="font-size:large;">Jiang L, '''Lu H''', Xu M and Wang C.</span> <span style="font-size:large;"> Biterm Pseudo Document Topic Model for Short Text[C]. In ''Proceedings of '''ICTAI-16'''''. San Jose, USA, 2016: 865-872. </span> <span style="font-size:large;">'''· Never Ignore The Significance Of Different Anomalies: A Cost-sensitive Algorithm Based On Loss Function For Anomaly Detection '''[[https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7814694 7372253 PDF]]</span> *<span style="font-size:large;">'''Lu H''', Chen F, Xu M, Wang C and Xie J.</span> <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 ''Proceedings of'' '''''ICTAI-15'''''. Vietri sul Mare, Italy, 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;">· Utilizing Recurrent Neural Network for Topic Discovery in Short Text Scenarios[J]</span>'''
<span style="font-size:large;">'''Lu H''', Kang N, Li Y, Zhan Q, Xie J, Wang C</span> <span style="font-size:large;"> </span>
<span style="font-size:large;">'''Intelligent Data Analysis''', 2019, 23(2). [To Appear]</span>
'''<span style="font-size:large;">· A Region of Interest Detection Method for Mammography based on Multi-cue Feature Integration[J]</span>'''
<span style="font-size:large;">'''Lu H''', Li N and Xie J</span>