Luhy

来自南京大学IIP
Lhy（讨论 | 贡献）2022年12月8日 (四) 14:38的版本
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  • 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
Jiangnan University

Postdoc              @ JNU from 2020-now
Ph.D. Candidate @ IIP Group from 2014-2019
Department of Computer Science and Technology
National Key Laboratory for Novel Software Technology
Nanjing University

Supervisor

  • Postdoc Supervisor:  Professor Xiao-jun Wu
  • Ph.D.      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). I started my postdoc in Jiangnan University from 2020, majoring multi-modal data analysis.

Currently, I am the Associate Professor 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:

  • backdoor attack
  • cross-modal retrieval
  • few-shot learning
  • fine-grained sentimental analysis
  • short text mining in online social media

Recent News

  • Aug 26-28, 2022: Attend the JSAI 2022, Wuxi, China.
  • 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

12. Where to Attack: A Dynamic Locator Model for Backdoor Attack in Text Classifications[PDF][CODE]

Lu H, Fan C, Yang J, Hu C, Fang W, Wu X 

In Proceedings of  COLING-22. Gyeongju, Republic of Korea, 2022: 948-993. (CCF-B)

11. Pay Attention to the "Tails": A Novel Aspect-Fusion Model for Long-Tailed Aspect Category Detection[PDF]

Nie W, Lu H, Fang W

In Proceedings of  PRICAI-22. Shanghai, China, 2022: 321-334. (CCF-C)

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

14. Advances and applications of machine learning and intelligent optimization algorithms in genome-scale metabolic network models[PDF]

Bai L, You Q, Zhang C, Sun J, Liu L, Lu H, Chen Q

Systems Microbiology and Biomanufacturing, 2022.

13. High-utility itemsets mining based on binary particle swarm optimization with multiple adjustment strategies[PDF]

Fang W, Zhang Q,  Lu H, Lin J

Applied Soft Computing, 2022. (SCI)

12. 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)

11. 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.

10. LAMB: A novel algorithm of label collaboration based multi-label learning [PDF]

Zhang Y, Zhang Z, Chen M, Lu H, Zhang L, Wang C   

Intelligent Data Analysis, 2022, 26(5): 1229-1245.

9. Learning transferable and discriminative features for unsupervised domain adaptation [PDF]

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)

Patents

3.文本中多义性单词的标注方法、设备、处理器和存储介质 ，陆恒杨，黄渊卓，方伟

申请日：2021年3月12日，已授权

2.基于元学习及深度学习的少样本社交媒体谣言检测方法，陆恒杨，范晨悠，杨舜，吴小俊

申请日：2021年7月7日，已授权

1.一种文本分类后门攻击方法、系统及设备，陆恒杨，周俊康，胡聪，方伟，吴小俊，ZL202210233023.1

申请日：2022年3月29日；授权公告日：2022年11月8日

Fundings

7. 中国博士后科学基金（面上项目），2022M711360，2022

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 Cybernetics and Systems, Journal
  • 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

  • Machine Learning. (for undergraduate students of CS Dept. Fall, 2022)
  • Programming II (Python). (for undergraduate student of AI Dept. Fall, 2022)
  • Computer Ethics. (for undergraduate students of CS Dept. Spring, 2022)
  • Course Design of Artificial Intelligence. (for undergraduate students of CS Dept. Summer, 2020, 2021)
  • Introduction to Artificial Intelligence. (for undergraduate students of CS Dept. Spring, 2020, 2021, 2022)
  • Introduction to C++ Programming. (for undergraduate students of CS Dept. Spring, 2020)
  • Principle of Compiler. (for undergraduate students of CS Dept. Fall, 2019, 2020, 2021)
  • Mathematical Logic. (assistant, for undergraduate students of CS Dept. Spring, 2016)
  • Introduction to Java Programming. (assistant, for undergraduate students of CS Dept. Fall, 2014)

Students

Graduate

2022

Xiao-fei Li 李晓菲，Tian-ci Liu 刘天赐，Hao-kun Yu 于浩坤，Yi Zhong 钟椅，Long-kang Lin 林龙康，Jia-ming Zhang 张家铭

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 读研)，Yuanzhuo Huang 黄渊卓，Yumeng Liu 刘雨萌 (苏州大学 读研)，Shihao Weng 翁诗浩 (南京大学 读研)

Thesis Defense

  • June, 2022: 翁诗浩（校优），刘雨萌，刘文昌，黄渊卓，余江明，邱国容，毕乾祥，何纪芃，Kaiyr Galymzhan. 8名本科生、1名留学生通过答辩.
  • June, 2021: 满建涛，张达斌，张震，张辰，马樊城，姜彤. 6名本科生通过答辩.
  • June, 2020: 杨朔（校优），陈洋，石慧，张印奎，王鹏程. 5名本科生通过答辩.

News of Students

  • Aug, 2022: one paper of Wei Nie has been accepted by PRICAI-22, Rank: CCF-C

Competitions

  • 2022年第十届全国大学生数字媒体科技作品及创意竞赛全国总决赛，三等奖。谭懿唯，韩茜，李子睿，张之涵，李鑫然，陆恒杨（指导教师），代成龙。

Personal Interests

  • Travelling and Photography
  • Tennis
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