“Luhy”的版本间的差异
来自南京大学IIP
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'''<span style="color:#e74c3c;"><span style="font-size:x-large;">Supervisor</span></span>''' | '''<span style="color:#e74c3c;"><span style="font-size:x-large;">Supervisor</span></span>''' | ||
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<span style="font-size:large;"><span style="color:#000000;">Professor Jun-Yuan Xie and </span></span><span style="font-size:large;"><span style="color:#000000;">Professor Chong-Jun Wang</span></span> | <span style="font-size:large;"><span style="color:#000000;">Professor Jun-Yuan Xie and </span></span><span style="font-size:large;"><span style="color:#000000;">Professor Chong-Jun Wang</span></span> | ||
'''<span style="color:#e74c3c;"><span style="font-size:x-large;">Biography</span></span>''' | '''<span style="color:#e74c3c;"><span style="font-size:x-large;">Biography</span></span>''' | ||
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<span style="font-size:large;">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. </span> | <span style="font-size:large;">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. </span> | ||
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<span style="font-size:large;">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.</span> | <span style="font-size:large;">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.</span> | ||
| − | | + | <span style="color:#e74c3c;"><span style="font-size:x-large;">'''Research Interest'''</span></span> |
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| + | <span style="font-size:large;">I am interested in Machine Learning and Natural Language Process. Currently I am focusing on the subfields:</span> | ||
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| + | *<span style="font-size:large;">machine learning applications</span> | ||
| + | *<span style="font-size:large;">topic modoel in short text scenario</span> | ||
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| + | = <span style="color:#e74c3c;">'''<span style="font-size:x-large;">Publication</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;">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, 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> | ||
2017年6月30日 (五) 15:35的版本
Heng-Yang Lu @ NJUCS
陆恒杨 Heng-Yang Lu
PhD Candidate @ LAMDA Group
Department of Computer Science
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 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
Publication
- 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.
