- Heng-Yang Lu @ JNUCS and NJUCS, hylu[at]smail.nju.edu.cn and luhengyang[at]jiangnan.edu.cn
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陆恒杨 Heng-Yang Lu Currently @ School of Artificial Intelligence and Computer Science 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
- few-shot learning
- fine-grained sentimental analysis
- short text mining in online social media
Recent News
- July 21-24, 2021: Attend the CCFAI 2021, Yantai, China.
- July 10-11, 2021: Attend the CCAC 2021, Beijing, China.
- 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
10. 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)
9. 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)
8. 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)
7. 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)
6. 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)
5. 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)
4. 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)
3. 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)
2. 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)
1. 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
11. A deep neural networks-based fusion model for COVID-19 rumor detection from online social media[Accept][LINK]
Lu H, Yang J, Fang W, Song X, Wang C
Data Technologies and Applications, 2022. (SCI)
10. 面向网络社交媒体的少样本新冠谣言检测[Chinese Version]
陆恒杨, 范晨悠 和 吴小俊
中文信息学报, 2022, 36(1): 135-144.
9. Learning transferable and discriminative features for unsupervised domain adaptation
Du Y, Zhang R, Zhang X, Yao Y, Lu H, Wang C *
Intelligent Data Analysis, 2022, 26(2): 407-425.
8. One for “All”: A unified model for fine-grained sentiment analysis under three tasks[LINK][DATA]
Lu H, Yang J *, Hu C, Fang W
PeerJ Computer Science, 2021, 7: e816. (SCI)
7. A novel few-shot learning based multi-modality fusion model for COVID-19 rumor detection from online social media[LINK][CODE]
Lu H *, Fan C, Song X, Fang W
PeerJ Computer Science, 2021, 7: e688. (SCI)
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, 55(5): 643-660. (SCI)
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. 一种基于相关性特征融合的乳腺图像感兴趣区域检测方法[Chinese Version]
陆恒杨, 李宁 * 和 谢俊元
南京大学学报（自然科学）, 2016, 52(1): 194-202. (CSCD)
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 Journal of Computational Social Science, Journal
- 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
- Computer Ethics. (for undergraduate students. Spring, 2022)
- Course Design of Artificial Intelligence. (for undergraduate students. Summer, 2020, 2021, 2022)
- Introduction to Artificial Intelligence. (for undergraduate students. Spring, 2020, 2021, 2022)
- Introduction to C++ Programming. (for undergraduate students. Spring, 2020)
- Principle of Compiler. (for undergraduate students. Fall, 2019, 2020, 2021)
- Mathematical Logic. (assistant, for undergraduate students. Spring, 2016)
- Introduction to Java Programming. (assistant, for undergraduate students. Fall, 2014)
Students
Graduate
2021
Jun-kang Zhou 周俊康 (Co-supervised with Prof. Wei Fang)
2020
Shun Yang 杨舜 (Co-supervised with Prof. Xiaojun Wu)，
Wei Nie 聂玮 (Co-supervised with Prof. Wei Fang)，Yue Jia 贾玥(Co-supervised with Prof. Wei Fang)
Undergraduate
2018
Wenchang Liu 刘文昌 (东南大学)，Yuanzhuo Huang 黄渊卓，Yumeng Liu 刘雨萌 (苏州大学)，Shihao Weng 翁诗浩 (南京大学)
Personal Interests
- Travelling and Photography
- Tennis