“Luhy”的版本间的差异

2018年10月9日 (二) 14:57的版本

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

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 

 Conferences

· Exploiting Global Semantic Similarity Bitermsfor Short-text Topic Discovery

Lu H, Ge G, Li Y, Wang C, Xie J

In Proceedings of  ICTAI-18. Volos. Greece, 2018. [Accepted]

· Online Single Homogeneous Source Transfer Learning Based on AdaBoost

Du Y, Chen Q, Lu H, Wang C

In Proceedings of  ICTAI-18. Volos. Greece, 2018.[Accepted]

· Constructing Pseudo Documents with Semantic Similarity for Short Text Topic Discovery

Lu H, Li Y, Tang C, Wang C, Xie J

In Proceedings of ICONIP-18. Siem Reap. Cambodia, 2018.[Accepted]

· Topics may Evolve: Using Complaint Date for Analysis [PDF]

Xie L, Wang L, Lu H, Li N, Wang C

In Proceedings of ICTAI-17. Boston, MA. USA, 2017: 1296-1303.

· Don't Forget the Quantifiable Relationship between Words: Using Recurrent Neural Network for Short Text Topic Discovery [PDF]

Lu H, Xie L, Kang N, Wang C and Xie J

In Proceedings of AAAI-17. San Francisco, USA, 2017:1192-1198.

· 'Biterm' ''''Pseudo Document Topic Model for Short Text [PDF]

Jiang L, Lu H, Xu M and Wang C

In Proceedings of ICTAI-16. San Jose, USA, 2016: 865-872.

· Never Ignore The Significance Of Different Anomalies: A Cost-sensitive Algorithm Based On Loss Function For Anomaly Detection [PDF]

Lu H, Chen F, Xu M, Wang C and Xie J

In Proceedings of ICTAI-15. Vietri sul Mare, Italy, 2015: 1099-1105.

Journals

· Utilizing Recurrent Neural Network for Topic Discovery in Short Text Scenarios

Lu H, Kang N, Li Y, Zhan Q, Xie J, Wang C   

Intelligent Data Analysis, 2019, 23(2). [To Appear]

· A Region of Interest Detection Method for Mammography based on Multi-cue Feature Integration

Lu H, Li N and Xie J

Journal of Nanjing University: Nat Sci Ed, 2016, 52(1): 194-202.

Teaching Assistants

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

Personal Interests

• Travelling and Photography