“Luhy”的版本间的差异
来自南京大学IIP
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*<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> |
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| − | *<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 ''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 ''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 ''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 ''Proceedings of '''ICTAI-16'''''. San Jose, USA, 2016: 865-872.</span> |
| − | *<span style="font-size:large;">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.</span> | + | *<span style="font-size:large;">'''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.</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 ''Proceedings of'' '''''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 ''Proceedings of'' '''''ICTAI-15'''''. Vietri sul Mare, Italy, 2015: 1099-1105.</span> |
| − | + | == <span style="font-size:x-large;">'''<span style="color:#c0392b;">Teaching Assistants</span>'''</span> == | |
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| + | *<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 |
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)
