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− | *<span style="font-size:large;"> | + | *<span style="font-size:large;">Principle of Compiler. (for undergraduate students of CS Dept. Fall, 2019-2021, Spring, 2023)</span> |
+ | *<span style="font-size:large;">Course Design of Principle of Compiler. (for undergraduate students of CS Dept. Summer, 2023)</span> | ||
*<span style="font-size:large;">Natural Language Processing. (for undergraduate students of CS Dept. Fall, 2023)</span> | *<span style="font-size:large;">Natural Language Processing. (for undergraduate students of CS Dept. Fall, 2023)</span> | ||
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*<span style="font-size:large;">Computer Ethics. (for undergraduate students of CS Dept. Spring, 2022, 2023)</span> | *<span style="font-size:large;">Computer Ethics. (for undergraduate students of CS Dept. Spring, 2022, 2023)</span> | ||
+ | *<span style="font-size:large;">Frontier Course in Computer Science. (for undergraduate students of CS Dept. Fall, 2023)</span> | ||
*<span style="font-size:large;">Machine Learning. (for undergraduate students of CS Dept. Fall, 2022)</span> | *<span style="font-size:large;">Machine Learning. (for undergraduate students of CS Dept. Fall, 2022)</span> | ||
*<span style="font-size:large;">Programming II (Python). (for undergraduate student of AI Dept. Fall, 2022)</span> | *<span style="font-size:large;">Programming II (Python). (for undergraduate student of AI Dept. Fall, 2022)</span> |
2023年12月4日 (一) 14:31的版本
- 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 Postdoc @ JNU from 2020-now |
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
- Oct 26-28, 2023: Attend the CNCC 2023, Shenyang, China.
- July 27-30, 2023: Attend the CCFAI 2023, Urumqi, China.
- June 30, 2023: Attend the CCAC 2023, Xi'an, China.
- June 10-12, 2023: Attend the VALSE 2023, Wuxi, China.
- May 11-14, 2023: Attend the CCIG 2023, Suzhou, China.
- Aug 26-28, 2022: Attend the JSAI 2022, Wuxi, China.
- June, 2022: I have become the Associated Professor at the School of Artificial Intelligent and Computer Science, Jiangnan University.
- 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, 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
- 2023: The "Call to Arms" award, ECAI 2023
- 2023年江南大学本科优秀毕业设计(论文)指导老师
- 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
13. A Novel Differentiable Rank Learning Method Towards Stock Movement Quantile Forecasting
Fan C, Lu H, Huang A
In Proceedings of ECAI-23. Kraków, Poland, 2023. (CCF-B)
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
18. Mutual Information-Guided GA for Bayesian Network Structure Learning[PDF]
Yan K, Fang W, Lu H, Zhang X, Sun J, Wu X
IEEE Transactions on Knowledge and Data Engineering, 2023, 35(8): 8282-8299.
17. 结合扩散模型图像编辑的图文检索后门攻击(录用)
杨舜 和 陆恒杨
计算机科学与探索, 2023.
16. Think More Ambiguity Less: A Novel Dual Interactive Model with Local and Global Semantics for Chinese NER[PDF]
Jia Y, Fang W, Lu H
Transactions on Asian and Low-Resource Language Information Processing, 2023, 22(6):1-21.
15. 基于提示调优的中文上位词发现(录用)
周俊康, 陆恒杨, 刘哲 和 方伟
中文信息学报, 2023.
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[LINK]
Lu H*, Yang J, Fang W, Song X, Wang C
Data Technologies and Applications, 2022, 56(5): 806-824. (SCI)
11. 面向网络社交媒体的少样本新冠谣言检测[Chinese Version][Data]
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
4.一种基于扩散模型的图文检索后门攻击方法、装置及设备,陆恒杨,杨舜,方伟,孙俊,吴小俊,ZL202310821656.9
申请日:2023年07月06日;授权公告日:2023年10月13日
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,ZL202110270079.X
申请日:2021年03月12日;授权公告日:2023年1月6日
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,ZL202110770088.5
申请日:2021年07月07日;授权公告日:2022年12月9日
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03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
- Registration Chair of VALSE 2023, Conference (视觉与学习青年学者研讨会)
- Session Chair of 'Word, text and document processing' in ICONIP 2018, Conference
- PC member of AAAI 2021, ECAI 2023
- Reviewer of KSEM 2023
- Reviewer of IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Computational Social Systems
- Reviewer of ACM Computing Surveys, Journal
- Reviewer of KAIS (Knowledge and Information Systems), Journal
- Reviewer of Applied Intelligence, Journal
- Reviewer of Journal of Computational Social Science, Journal
- Reviewer of Cybernetics and Systems, Journal
- Reviewer of Peer J Computer Science, Reviewer of Complexity, IEEE Access, Multivariate Behavioral Research
Teaching
- Principle of Compiler. (for undergraduate students of CS Dept. Fall, 2019-2021, Spring, 2023)
- Course Design of Principle of Compiler. (for undergraduate students of CS Dept. Summer, 2023)
- Natural Language Processing. (for undergraduate students of CS Dept. Fall, 2023)
- Computer Ethics. (for undergraduate students of CS Dept. Spring, 2022, 2023)
- Frontier Course in Computer Science. (for undergraduate students of CS Dept. Fall, 2023)
- Machine Learning. (for undergraduate students of CS Dept. Fall, 2022)
- Programming II (Python). (for undergraduate student of AI Dept. Fall, 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)
- 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
2023
Rui Cong 丛瑞,Ji-peng He 何纪芃,Xing-tong Liu 刘欣桐,Xin Guo 郭鑫,Bin Tang 唐斌,Yi-yang Song 宋易洋
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,人民银行),Yue Jia 贾玥(Co-supervised with Prof. Wei Fang,满运)
Undergraduate
2019
Jiayin Wei 位佳茵 (东南大学 保研)
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 保研),Shihao Weng 翁诗浩 (南京大学 保研)
Thesis Defense
- June, 2023: 刘裕勇(校优),朱渝,位佳茵,宋易洋,张超,王海彤,黄晓霞,孙拓,Abdulkadir Duran Adan. 8名本科生、1名留学生通过答辩.
- 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
- July, 2023: 研究生杨舜的一篇论文被《计算机科学与探索》录用, Rank: CCF-T2
- Feb, 2023: one paper of Yue Jia has been accepted by TALLIP, Rank: CCF-C
- Jan, 2023: 研究生周俊康的一篇论文被《中文信息学报》录用, Rank: CCF-T1
- Aug, 2022: one paper of Wei Nie has been accepted by PRICAI-22, Rank: CCF-C
Competitions
- 2023年第十四届蓝桥杯全国软件和信息技术专业人才大赛江苏赛区Python程序设计研究生组,二等奖。赵雅苹,陆恒杨(指导老师)
- 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
- 2021, ICPC Regionals (Jinan Site), Bronze Medal. Zhu Wentao, Zhu Yu, Wang Lei, Lu Hengyang (coach)
Personal Interests
- Travelling and Photography
- Tennis