“Luhy”的版本间的差异

2018年9月4日 (二) 22:39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.

Research Interest

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

• machine learning applications
• topic model in short text scenario

Recent News

• 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

• June, 2018: Scholarship for Doctoral Studies (2018-2019), HPI, Germany
• Oct, 2017: Huawei Scholarship for Ph.D., NJU, China
• Sep, 2016: Scholarship for Doctoral Studies (2016-2018), HPI, Germany
• 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 'ICONIP-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.
• 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

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

Personal Interests

• Travelling and Photography