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Heng-Yang Lu @ NJUCS,


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


Professor Jun-Yuan Xie and Professor Chong-Jun Wang


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


  • 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. [Acceptted].
  • 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)