Luhy:修订间差异

来自南京大学IIP
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'''<span style="color:#e74c3c;"><span style="font-size:x-large;">Supervisor</span></span>'''
'''<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="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>'''
'''<span style="color:#e74c3c;"><span style="font-size:x-large;">Biography</span></span>'''
----


<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;">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>
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<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="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>


&nbsp;
<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>

2017年6月30日 (五) 15:35的版本

Heng-Yang Lu @ NJUCS


 

 

陆恒杨 Heng-Yang Lu

PhD Candidate @ LAMDA Group
Department of Computer Science
National Key Laboratory for Novel Software Technology
Nanjing University


Supervisor


Professor Jun-Yuan Xie and Professor Chong-Jun Wang

Biography


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. 

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.

Research Interest


I am interested in Machine Learning and Natural Language Process. Currently I am focusing on the subfields:

  • machine learning applications
  • topic modoel in short text scenario

Publication

  • 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.
  • 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.
  • 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.
  • 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.