“Luhy”的版本间的差异

2020年10月31日 (六) 22:35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 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