Luhy

来自南京大学IIP
Lhy（讨论 | 贡献）2024年11月26日 (二) 14:09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

  • Nov 19-24, 2024: Attend the PRICAI 2024, Kyoto, Japan.
  • Aug 13-17, 2024: Attend the ACL 2024, Bankok, Thailand.
  • May 5-7, 2024: Attend the VALSE 2024, Chongqing, China.
  • 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

  • 2024: 江南大学第二十届我最喜爱的老师
  • 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

17. TeMME: Temporal Knowledge Graph Completion using Multi-grade Multivector Embeddings[PDF]

Lu H, Yu H, Fan C, Zhan Q, Fang W, Wu X

In Proceedings of  PRICAI-24. Kyoto, Japan, 2024: 121-126.

16. A Novel MLLMs-based Two-stage Model for Zero-shot Multimodal Sentiment Analysis[PDF]

Lu H, Li X

In Proceedings of  PRICAI-24. Kyoto, Japan, 2024.

15. JN-NLP at SIGHAN-2024 dimABSA Task: Extraction of Sentiment Intensity Quadruples Based on Paraphrase Generation[PDF]

Jiang Y, Liu T, Lu H

In Proceedings of  SIGHAN-10. Bangkok, Thailand, 2024: 121-126.

14. JN666 at SemEval-2024 Task 7: NumEval: Numeral-Aware Language Understanding and Generation[PDF]

Liu X, Liu X, Lu H

In Proceedings of  SemEval-24. Mexico City, Mexico, 2024: 497-502.

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

21. QAIE: LLM-based Quantity Augmentation and Information Enhancement for Few-Shot Aspect-Based Sentiment Analysis[PDF]

Lu H, Liu T, Cong R, Yang J, Gan Q, Fang W, Wu X.

Information Processing and Management, 2025, 62(1), 103917. (SCI, CCF B)

20. A machine learning model based on CHAT-23 for early screening of autism in Chinese children[PDF]

Lu H, Zhang H, Zhong Y, Meng X, Zhang M, Qiu T

Frontiers in Pediatrics, 2024, 12. (SCI)

19. GPU-Based Efficient Parallel Heuristic Algorithm for High-Utility Itemset Mining in Large Transaction Datasets[PDF]

Fang W, Jiang H, Lu H, Sun J, Wu X, Lin J

IEEE Transactions on Knowledge and Data Engineering, 2024, 36(2): 652-667. (CCF A)

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. (CCF A)

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 Named Entity Recognition[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

7.一种中文上位词检索方法及装置，陆恒杨，周俊康，刘哲，方伟，孙俊，吴小俊，ZL202310214059.X

申请日：2023年03月07日；授权公告日：2024年07月12日

6.一种长尾分布场景下的方面类别识别方法及系统，陆恒杨，方伟，聂玮，孙俊，吴小俊，ZL202111681644.8

申请日：2021年12月30日；授权公告日：2024年04月02日

5.TEXT CLASSIFICATION BACKDOOR ATTACK PREDICTION METHOD, SYSTEM, AND DEVICE，Hengyang Lu，Chenyou Fan，Wei Fang，Jun Sun，Xiaojun Wu，US011829474B1

申请日：2023年07月21日；授权日：2023年11月28日

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 'LLM1' in PRICAI 2024, Conference
  • Session Chair of 'Word, text and document processing' in ICONIP 2018, Conference
  • PC member of AAAI 2021, ECAI 2023, CVPR 2024
  • Reviewer of KSEM 2023, ACML 2024
  • Reviewer of IEEE Transactions on Knowledge and Data Engineering, 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 Information Processing and Management, Journal
  • Reviewer of 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, Complexity, IEEE Access, Multivariate Behavioral Research

Teaching

  • Principle of Compiler. (for undergraduate students of CS Dept. Fall, 2019-2021, Spring, 2023, 2024)
  • Course Design of Principle of Compiler. (for undergraduate students of CS Dept. Summer, 2023, 2024)
  • Natural Language Processing. (for undergraduate students of CS Dept. Fall, 2023, 2024)
  • Computer Ethics. (for undergraduate students of CS Dept. Spring, 2022, 2023, 2024)
  • 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

2024

Jun-jie Zheng 郑俊杰，Xinyi Liu 刘新宜，Yunfan Jiang 姜云帆，Yang Gao 高杨，Jing-jing Zhao 赵箐箐

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，小米)

2020

Shun Yang 杨舜 (Co-supervised with Prof. Xiaojun Wu，小米)，

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

2020

Zirui Li 李子睿（北京大学 直博），Xinyi Liu 刘新宜（江南大学 保研），Yunfan Jiang 姜云帆（江南大学）

2019

Jiayin Wei 位佳茵 (东南大学 保研)

2018

Shihao Weng 翁诗浩 (南京大学 保研)，Wenchang Liu 刘文昌 (东南大学 读研)，Yumeng Liu 刘雨萌 (苏州大学 保研)，Yuanzhuo Huang 黄渊卓

Thesis Defense

  • June, 2024: 马力（校优），孟祥瑜，庞新媛，姜云帆，刘新宜，张文俊，王效禹. 7名本科生通过答辩.
  • June, 2024: 周俊康. 1名硕士生通过答辩.
  • 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.
  • Dec,  2023: 杨舜. 1名硕士生通过答辩.
  • 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

  • Nov, 2024: 本科生刘鑫楠等的一篇论文被《计算机工程与应用》录用，Rank: CCF-T2
  • Oct, 2024: one paper of Tian-ci Liu has been accepted by 《Information Processing & Management》, SCI (IF 7.4), Rank: CCF-B
  • Aug, 2024: two papers of Haokun Yu and Xiaofei Li has been accepted by PRICAI-24, Rank: CCF-C
  • July, 2024: 本科生姜云帆参加SigHan-2024评测论文被录用
  • March, 2024: 本科生刘新宜参加SemEval-2024评测论文被录用
  • Nov, 2023: 研究生周俊康荣获江南大学2023年“小米奖学金”
  • 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

  • 2024全国大学生计算机系统能力大赛-智能计算创新设计赛（先导杯）全国总决赛，三等奖。王天宇，程龙，祝毅杰，杨梓，陆恒杨（指导老师）
  • 2024全国大学生计算机系统能力大赛编译系统设计赛（华为毕昇杯）全国总决赛功能挑战赛道，二等奖。杨梓，刘飞，程汉，丁海峰，陆恒杨（指导老师）
  • 2024年第十五届蓝桥杯全国软件和信息技术专业人才大赛项目实战赛-人工智能大学组全国赛，一等奖。谢炳炎，张家铭，任硕研，陆恒杨（指导老师）
  • 2024年第十五届蓝桥杯全国软件和信息技术专业人才大赛项目实战赛-人工智能大学组全国赛，二等奖。宋易洋，唐斌，郭鑫，陆恒杨（指导老师）
  • 2024年第十五届蓝桥杯全国软件和信息技术专业人才大赛项目实战赛-人工智能大学组全国赛，二等奖。刘欣桐，丛瑞，何纪芃，陆恒杨（指导老师）
  • 2024年第十五届蓝桥杯全国软件和信息技术专业人才大赛项目实战赛-人工智能大学组全国赛，三等奖。李文杰，刘豫龙，董万里，陆恒杨（指导老师）
  • 2024年第十五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，三等奖。刘欣桐，陆恒杨（指导老师）
  • 2024年第十五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，三等奖。于浩坤，陆恒杨（指导老师）
  • 2024年第十五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，三等奖。李晓菲，陆恒杨（指导老师）
  • 2023年第六届开源创新大赛“开源案例教学赛道-特色化开源案例教学赛”二等奖。陆恒杨，何纪芃，丛瑞，杨茜茹
  • 2023年第十四届蓝桥杯大赛专项赛暨首届“元境杯”元宇宙创想+数字内容创作大赛平面创意赛道（学生组），全国三等奖。刘鑫楠，王子硕，洪鑫宇，曹振洋，陆恒杨（指导教师）
  • 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
取自“http://iip.nju.edu.cn/index.php?title=Luhy&oldid=1977”