“Luhy”的版本间的差异

2021年4月29日 (四) 13:43的版本

• Heng-Yang Lu @ JNUCS and NJUCS, hylu[at]smail.nju.edu.cn and luhengyang[at]jiangnan.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

• Nov 6-8, 2020: Attend the MLA 2020, Nanjing, China.
• 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[PDF]

Zhang Y, Zhang Z, Cheng H, Lu H, Zhang L, Wang C, Xie J 

In Proceedings of  BIBM-19. San Diego, USA, 2019. (EI, CPCI-S, CCF-B)

· MALP: A More Effective Meta-Paths Based Link Prediction Method in Partially Aligned Heterogeneous Social Networks[PDF]

Zhu K, Cao M, Lu H

In Proceedings of ICATI-19. Portland, USA, 2019. (EI, CPCI-S, CCF-C)

· 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. (EI, CPCI-S, CCF-C)

· 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. (EI, CPCI-S, CCF-C)

· 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. (EI, CPCI-S, CCF-C)

· 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. (EI, CPCI-S, CCF-C)

· Topics may Evolve: Using Complaint Data for Analysis [PDF]

Xie L, Wang L, Lu H, Li N, Wang C

In Proceedings of ICTAI-17. Boston, USA, 2017: 1296-1303. (EI, CPCI-S, CCF-C)

· 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. (EI, CPCI-S, CCF-A)

· 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. (EI, CPCI-S, CCF-C)

· 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. (EI, CPCI-S, CCF-C)

Journals

6. SenU-PTM: a novel phrase-based topic model for short-text topic discovery by exploiting word embeddings[PDF]

Lu H, Zhang Y, Du Y

Data Technologies and Applications, 2021.

5. Polysemy Needs Attention: Short-Text Topic Discovery With Global and Multi-Sense Information[PDF]

Lu H, Yang J, Zhang Y, Li Z

IEEE ACCESS, 2021, 9: 14918-14932. (EI, SCI)

4. 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. (EI, SCI)

3. 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). (EI, SCI)

2. 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. (EI, SCI)

1. 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

6. 国家自然科学基金（青年基金），面向社交媒体的跨模态图文检索研究，62002137，2021/01-2023/12

5. 国家重点研发计划（课题子任务），全细胞数字模型设计工具与优化算法开发，2020YFA0908303，2020/11-2025/09

4. 江苏省双创博士，2020/09/01-2022/09/01

3. 计算机软件新技术国家重点实验室（开放课题），基于细粒度特征的跨模态图文检索研究，KFKT2020B02，2020/06/01-2022/05/31

2. 福建省信息处理与智能控制重点实验室（闽江学院）（开放基金），面向社交媒体的主题挖掘研究，MJUKF-IPIC202011，2020/06/01-2022/05/31

1. 江南大学基本科研计划（青年基金），基于短文本的主题模型研究，JUSRP12021，2020/01/01-2021/12/31

Professional Activities

• PC member of AAAI 2021, Conference
• 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, 2021)
• Introduction to Artificial Intelligence. (for undergraduate students. Spring, 2020, 2021)
• 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)

Students

Graduate

2020

Shun Yang 杨舜 (Co-supervised with Prof. Xiaojun Wu)，Wei Nie 聂玮 (Co-supervised with Prof. Wei Fang)

Undergraduate

2018

Wenchang Liu 刘文昌，Yuanzhuo Huang 黄渊卓

Personal Interests

• Travelling and Photography
• Tennis