“Luhy”的版本间的差异

来自南京大学IIP
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*<span style="font-size:large;">'''Lu&nbsp;H''', Ge G, Li Y, Wang C, Xie J.&nbsp;</span><span style="font-size:large;">Exploiting Global Semantic Similarity </span><span style="font-size:large;">Bitermsfor Short-text Topic Discovery[C].&nbsp;In&nbsp;''Proceedings of ''''ICTAI-18'''''<b>. Volos. Greece, 2018. </b>[Accepted]</span>  
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*<span style="font-size:large;">'''Lu&nbsp;H''', Ge G, Li Y, Wang C, Xie J.&nbsp;</span><span style="font-size:large;">Exploiting Global Semantic Similarity </span><span style="font-size:large;">Bitermsfor Short-text Topic Discovery[C].&nbsp;In&nbsp;''Proceedings of&nbsp; '''ICTAI''''''-18'''''<b>. Volos. Greece, 2018. </b>[Accepted]</span>  
*<span style="font-size:large;">Du Y, Chen Q,&nbsp;'''Lu H''', Wang C.</span>&nbsp;<span style="font-size:large;">Online Single Homogeneous Source Transfer Learning Based on AdaBoost. In&nbsp;''Proceedings of ''''ICTAI-18'''''<b>. Volos. Greece, 2018. </b>[Accepted]</span>  
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*<span style="font-size:large;">Du Y, Chen Q,&nbsp;'''Lu H''', Wang C.</span>&nbsp;<span style="font-size:large;">Online Single Homogeneous Source Transfer Learning Based on AdaBoost. In&nbsp;''Proceedings of '''''''ICTAI''''''-18'''''<b>. Volos. Greece, 2018. </b>[Accepted]</span>  
*<span style="font-size:large;">'''Lu H''', Li Y, Tang C, Wang C, Xie J.&nbsp;</span><span style="font-size:large;">Constructing Pseudo Documents with Semantic Similarity for Short Text Topic Discovery[C]. In&nbsp;''Proceedings of ''''ICONIP-18'''''<b>.&nbsp;Siem Reap. Cambodia, 2018. </b>[Accepted]</span>  
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*<span style="font-size:large;">'''Lu H''', Li Y, Tang C, Wang C, Xie J.&nbsp;</span><span style="font-size:large;">Constructing Pseudo Documents with Semantic Similarity for Short Text Topic Discovery[C]. In&nbsp;''Proceedings of '''I''''''CONIP-18'''''<b>.&nbsp;Siem Reap. Cambodia, 2018. </b>[Accepted]</span>  
 
*<span style="font-size:large;">'''Lu H''', Kang N, Li Y, Zhan Q, Xie J, Wang C.</span>&nbsp;<span style="font-size:large;">Utilizing Recurrent Neural Network for Topic Discovery in Short Text&nbsp;Scenarios[J].&nbsp;'''''Intelligent Data Analysis''''', 2019, 23(2). [To Appear]</span>  
 
*<span style="font-size:large;">'''Lu H''', Kang N, Li Y, Zhan Q, Xie J, Wang C.</span>&nbsp;<span style="font-size:large;">Utilizing Recurrent Neural Network for Topic Discovery in Short Text&nbsp;Scenarios[J].&nbsp;'''''Intelligent Data Analysis''''', 2019, 23(2). [To Appear]</span>  
 
*<span style="font-size:large;">Xie L, Wang L, '''Lu H''', Li N, Wang C.</span>&nbsp;<span style="font-size:large;">Topics may Evolve: Using Complaint Date for Analysis[C]. In&nbsp;''Proceedings of '''ICTAI-17'''''. Boston, MA. USA, 2017: 1296-1303. [[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>&nbsp;<span style="font-size:large;">Topics may Evolve: Using Complaint Date for Analysis[C]. In&nbsp;''Proceedings of '''ICTAI-17'''''. Boston, MA. USA, 2017: 1296-1303. [[https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8372098 PDF]]</span>  

2018年10月8日 (一) 19:29的版本

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

 

2017.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 third 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. I am also one of the members of the international branches of Hasso-Plattner-Institut from Germany (2016-2019).

Research Interest


I am interested in Data Mining and Natural Language Process. Currently I am focusing on the subfields:

  • text mining
  • topic model in short text scenario

Recent News


  • Dec.13-16, 2018: I will attend ICONIP2018 and make a presentation, see you in Siam Reap, Cambodia
  • Oct.19-21, 2017: Attend the Student Forum of the 10th China-Japan University Presidents Conference, Shenyang, China
  • 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
  • Aug.16-18, 2015: Oral talk at 15th CCML Conference, Chengdu, China

Awards


  • From Sep, 2016 to Aug, 2019: Scholarship for Doctoral Studies (2016-2019), Hasso-Plattner-Institut , Germany
  • Oct, 2017: Huawei Scholarship for Ph.D., NJU, China
  • May, 2014: Outstanding Undergraduate Student Award, NJU, China
  • May, 2012: Outstanding Student Cadres in Jiangsu Province, NJU, China

Publications 


  • 'Lu H, Ge G, Li Y, Wang C, Xie J. Exploiting Global Semantic Similarity Bitermsfor Short-text Topic Discovery[C]. In Proceedings of  ICTAI'-18. Volos. Greece, 2018. [Accepted]
  • Du Y, Chen Q, Lu H, Wang C. Online Single Homogeneous Source Transfer Learning Based on AdaBoost. In Proceedings of ''ICTAI'-18. Volos. Greece, 2018. [Accepted]
  • Lu H', Li Y, Tang C, Wang C, Xie J. Constructing Pseudo Documents with Semantic Similarity for Short Text Topic Discovery[C]. In Proceedings of I'CONIP-18. Siem Reap. Cambodia, 2018. [Accepted]
  • Lu H, Kang N, Li Y, Zhan Q, Xie J, Wang C. Utilizing Recurrent Neural Network for Topic Discovery in Short Text Scenarios[J]. Intelligent Data Analysis, 2019, 23(2). [To Appear]
  • Xie L, Wang L, Lu H, Li N, Wang C. Topics may Evolve: Using Complaint Date for Analysis[C]. In Proceedings of ICTAI-17. Boston, MA. USA, 2017: 1296-1303. [PDF]
  • 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. [PDF]
  • 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. [PDF]
  • 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. [PDF]

Teaching Assistants


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

Personal Interests


  • Travelling and Photography