- Heng-Yang Lu @ NJUCS, hylu@smail.nju.edu.cn
|
|
陆恒杨 Heng-Yang Lu Ph.D. Candidate @ IIP Group from 2014-2019 |
Supervisor
Professor Jun-Yuan Xie and Professor Chong-Jun Wang
Biography
I received my B.Sc. degree in the Department of Computer Science and Technology of Nanjing University in June 2014. I was a Ph.D. candidate at IIP group in the Department of Computer Science and Technology at Nanjing University, led by professor Jun-Yuan Xie and Chong-Jun Wang. I received my Ph.D. degree in June 2019. I was also one of the members of the international branches of Hasso-Plattner-Institut from Germany (2016-2019).
Currently, I am a Lecturer in the School of Artificial Intelligence and Computer Science at Jiangnan University, Wuxi, China. I am also a member of the Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence.
Research Interests
I am interested in Multi-modal Data Mining and Natural Language Processing. Currently, I am focusing on the subfields:
- cross-modal retrieval
- short text mining in online social media
Recent News
- Oct 22-24, 2020: Attend the CNCC 2020 conference, Hangzhou, China.
- April 1, 2020: I have joined the School of Artificial Intelligent and Computer Science, Jiangnan University.
- July 1, 2019: I have become a Lecturer at the School of Internet of Things, Jiangnan University.
- May 15, 2019: Defend Day! Thanks a lot, my dear supervisors and colleagues!
- Dec 13-16, 2018: Presentation at the 25th ICONIP Conference, Siem Reap, Cambodia.
- Nov 20-21, 2018: Presentation at the 7th HPI Research School at NJU Workshop, Nanjing, China.
- 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 the 12th Annual Symposium on Future Trends in SOC, Potsdam, Germany.
- Feb 02-09, 2017: Poster night at the 31st 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 the 27th ICTAI Conference, Vietri Sul Mare, Italy.
- Aug 16-18, 2015: Oral talk at the 15th CCML Conference, Chengdu, China.
Awards
- From Sep 2016 to Aug 2019: Scholarship for Doctoral Studies (2016-2019), from Hasso-Plattner-Institut, Germany
- Oct 2018: Huawei Scholarship for Ph.D., from NJU, China
- Oct 2017: Huawei Scholarship for Ph.D., from NJU, China
- May 2014: Outstanding Undergraduate Student Award, from NJU, China
- May 2012: Outstanding Student Cadres, from the Provincial Education Department of Jiangsu, China
Publications
Conferences
· Win-win Cooperation: A Novel Dual-Modal Dual-Label Algorithm for Membrane Proteins Function Pre-screen
Zhang Y, Zhang Z, Cheng H, Lu H, Zhang L, Wang C, Xie J
In Proceedings of BIBM-19. San Diego, USA, 2019. [PDF]
· MALP: A More Effective Meta-Paths Based Link Prediction Method in Partially Aligned Heterogeneous Social Networks
Zhu K, Cao M, Lu H
In Proceedings of ICATI-19. Portland, USA, 2019. [PDF]
· GADGET: Using Gated GRU for Biomedical Event Trigger Detection[PDF]
Zeng C, Zhang Y, Lu H, Wang C
In Proceedings of IJCNN-19. Budapest, Hungary, 2019.
· Exploiting Global Semantic Similarity Biterms for Short-text Topic Discovery[PDF]
Lu H, Ge G, Li Y, Wang C, Xie J
In Proceedings of ICTAI-18. Volos. Greece, 2018: 975-982.
· Online Single Homogeneous Source Transfer Learning Based on AdaBoost[PDF]
Du Y, Chen Q, Lu H, Wang C
In Proceedings of ICTAI-18. Volos, Greece, 2018: 344-349.
· Constructing Pseudo Documents with Semantic Similarity for Short Text Topic Discovery[PDF]
Lu H, Li Y, Tang C, Wang C, Xie J
In Proceedings of ICONIP-18. Siem Reap, Cambodia, 2018: 437-449.
· 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, 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
· What is Discussed about COVID-19: A Multi-Modal Framework for Analyzing Microblogs from Sina Weibo without Human Labeling[PDF]
Lu H, Lou Y, Jin B, Xu M
CMC-Computers, Materials & Continua, 2020, 64(3): 1453-1471.
· Multi-Entity Aspect-Based Sentiment Analysis with Context, Entity, Aspect Memory and Dependency Information[PDF]
Yang J, Yang R, Lu H, Wang C, Xie J
Transactions on Asian and Low-Resource Language Information Processing, 2019, 18(4):
· Utilizing Recurrent Neural Network for Topic Discovery in Short Text Scenarios[PDF]
Lu H, Kang N, Li Y, Zhan Q, Xie J, Wang C
Intelligent Data Analysis, 2019, 23(2): 259-277.
· A Region of Interest Detection Method for Mammography based on Multi-cue Feature Integration[Chinese Version]
Lu H, Li N and Xie J
Journal of Nanjing University: Nat Sci Ed, 2016, 52(1): 194-202.
Fundings
- 2020/06/01-2022/05/31,
State Key Lab. for Novel Software Technology，Nanjing University, P.R. China [KFKT2020B02]
- 2020/06/01-2022/05/31，
Open Fund Project of Fujian Provincial Key Laboratory of Information Processing and Intelligent Control (Minjiang University) (No. MJUKF-IPIC202011)
- 2020/01/01-2021/12/31，
the Fundamental Research Funds for the Central Universities [No. JUSRP12021]
Professional Activities
- Reviewer of ACM Computing Surveys, Journal
- Reviewer of Complexity, Journal
- Reviewer of IEEE Access, Journal
- Reviewer of MBR (Multivariate Behavioral Research), Journal
- Reviewer of KAIS (Knowledge and Information Systems), Journal
- Dec 13, 2018: Session Chair of 'Word, text and document processing' in ICONIP 2018, Siem Reap, Cambodia
Teaching
- Course Design of Artificial Intelligence. (for undergraduate students. Summer, 2020)
- Introduction to Artificial Intelligence. (for undergraduate students. Spring, 2020)
- Introduction to C++ Programming. (for undergraduate students. Spring, 2020)
- Principle of Compiler. (for undergraduate students. Fall, 2019, 2020)
- Mathematical Logic. (assistant, for undergraduate students. Spring, 2016)
- Introduction to Java Programming. (assistant, for undergraduate students. Fall, 2014)
Personal Interests
- Travelling and Photography
- Tennis