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Luhy
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'''<span style="color:#e74c3c;"><span style="font-size:x-large;">Supervisor</span></span>'''
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<span style="font-size:large;"><span style="color:#000000;">Professor Jun-Yuan Xie and </span></span><span style="font-size:large;"><span style="color:#000000;">Professor Chong-Jun Wang</span></span>
'''<span style="color:#e74c3c;"><span style="font-size:x-large;">Biography</span></span>'''
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<span style="font-size:large;">I received my B.Sc. degree in Department of Computer Science and Technology of Nanjing University in June 2014. In the same year, I was admitted to study for a Phd degree in Nanjing University without entrance examination. </span>
<span style="font-size:large;">Currently I am a first year PhD student of Department of Computer Science and Technology in Nanjing University and a member of IIP Group, led by professor Jun-Yuan Xie and Chong-Jun Wang.</span>
<span style="color:#e74c3c;"><span style="font-size:x-large;">'''Research Interest'''</span></span> ---- <span style="font-size:large;">I am interested in Machine Learning and Natural Language Process. Currently I am focusing on the subfields:</span> *<span style="font-size:large;">machine learning applications</span> *<span style="font-size:large;">topic modoel in short text scenario</span> = <span style="color:#e74c3c;">'''<span style="font-size:x-large;">Publication</span>'''</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.</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.</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.</span>
