“Luhy”的版本间的差异

来自南京大学IIP
跳转至: 导航搜索
   更改可见性
Lhy讨论 | 贡献
   更改可见性
第37行: 第37行:
 
*<span style="font-size:large;">topic modoel in short text scenario</span>  
 
*<span style="font-size:large;">topic modoel in short text scenario</span>  
  
<span style="font-size:x-large;"><span style="color:#c0392b;">'''News'''</span></span>
+
<span style="font-size:x-large;"><span style="color:#c0392b;">'''Recent News'''</span></span>
  
 
----
 
----
第50行: 第50行:
 
----
 
----
  
*<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;">'''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;">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''', 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>  
+
*<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>  
  
&nbsp;
+
== <span style="font-size:x-large;">'''<span style="color:#c0392b;">Teaching Assistants</span>'''</span> ==
  
= &nbsp; =
+
----
 +
 
 +
*<span style="font-size:large;">Mathematical logic. (for undergraduate student. Fall, 2014)</span>
 +
*<span style="font-size:large;">Introduction to Java Programming. (for undergraduate student. Spring, 2016)</span>

2017年7月1日 (六) 10:17的版本

Heng-Yang Lu @ NJUCS, hylu@smail.nju.edu.cn


Lhy.jpg

陆恒杨 Heng-Yang Lu

PhD Candidate @ IIP Group
Department of Computer Science and Technology
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

Recent News


  • Apr.26-28, 2017: Invited talk at 12th Annual Symposium on Future Trends in SOC, Potsdam, Germany
  • Feb.02-09, 2017: Poster night at 31th AAAI Conference, San Francisco, USA
  • Nov.07-08, 2016: Presentation and elevator pitch at 5th HPI Research School at NJU Workshop, Nanjing, China
  • Nov.09-11, 2015: Oral talk at 27th ICTAI Conference, Vietri sul Mare, Italy

Publications 


  • 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.

Teaching Assistants


  • Mathematical logic. (for undergraduate student. Fall, 2014)
  • Introduction to Java Programming. (for undergraduate student. Spring, 2016)