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Heng-Yang Lu @ NJUCS

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=== <span style="font-size:xx-large;">陆恒杨 Heng-Yang Lu</span> ===

<span style="font-size:larger;">PhD Candidate @ LAMDA Group<br/> Department of Computer Science<br/> National Key Laboratory for Novel Software Technology<br/> Nanjing University</span>

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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&nbsp;</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&nbsp;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&nbsp;without entrance examination.&nbsp;</span>

<span style="font-size:large;">Currently I am a first year PhD student of Department of Computer Science and Technology&nbsp;in Nanjing University&nbsp;and a member of IIP&nbsp;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>

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<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&nbsp;''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&nbsp;''Proceedings of '''ICTAI-16'''''. San Jose, USA, 2016: 865-872.</span> 
*<span style="font-size:large;">Lu H, Li N and&nbsp;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&nbsp;''Proceedings of''&nbsp;'''''ICTAI-15'''''. Vietri sul Mare, Italy, 2015: 1099-1105.</span>