I work at the School of Artificial Intelligence and Computer Science at Jiangnan University, located at a beautiful city, Wuxi, China. I am also a member of the Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence.

I received my B.Sc. degree from 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, and 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 supervised by professor Xiao-jun Wu, majoring multi-modal data analysis.

My research interest includes Multi-modal Data Mining and Natural Language Processing, such as backdoor attack, cross-modal retrieval, few-shot learning, fine-grained sentimental analysis, short text mining in online social media, etc. If interested, feel free to email me.

🔥 News

• 2024.10: 🎉🎉 One paper is accepted by IPM, RANK: CCF-B， SCI(IF 7.4).
• 2024.08: 🎉🎉 Two papers are accepted by PRICAI, RANK: CCF-C.
• 2023.08: 🎉🎉 One paper is accepted by ECAI, RANK: CCF-B.
• 2023.02: 🎉🎉 One paper is accepted by TALIIP, RANK: CCF-C.
• 2022.08: 🎉🎉 One paper is accepted by COLING-22, RANK: CCF-B.
• 2022.08: 🎉🎉 One paper is accepted by PRICAI-22, RANK: CCF-C.

📝 Publications

Conferences

• TeMME: Temporal Knowledge Graph Completion using Multi-grade Multivector Embeddings. Lu H, Yu H, Fan C, Zhan Q, Fang W, Wu X. In Proceedings of PRICAI-24. Kyoto, Japan, 2024. (CCF-C)

• A Novel MLLMs-based Two-stage Model for Zero-shot Multimodal Sentiment Analysis. Lu H, Li X. In Proceedings of PRICAI-24. Kyoto, Japan, 2024. (CCF-C)

• JN-NLP at SIGHAN-2024 dimABSA Task: Extraction of Sentiment Intensity Quadruples Based on Paraphrase Generation. Jiang Y, Liu T, Lu H. In Proceedings of SIGHAN-10. Bangkok, Thailand, 2024: 121-126.

• JN666 at SemEval-2024 Task 7: NumEval: Numeral-Aware Language Understanding and Generation. Liu X, Liu X, Lu H. In Proceedings of SemEval-24. Mexico City, Mexico, 2024: 497-502.

• 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)

• Where to Attack: A Dynamic Locator Model for Backdoor Attack in Text Classifications. [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)

• Pay Attention to the “Tails”: A Novel Aspect-Fusion Model for Long-Tailed Aspect Category Detection. Nie W, Lu H, Fang W. In Proceedings of PRICAI-22. Shanghai, China, 2022. (CCF-C)

• Win-win Cooperation: A Novel Dual-Modal Dual-Label Algorithm for Membrane Proteins Function Pre-screen. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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

• QAIE: LLM-based Quantity Augmentation and Information Enhancement for Few-Shot Aspect-Based Sentiment Analysis. 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)

• A machine learning model based on CHAT-23 for early screening of autism in Chinese children. Lu H, Zhang H, Zhong Y, Meng X, Zhang M, Qiu T. Frontiers in Pediatrics, 2024, 12. (SCI)

• GPU-Based Efficient Parallel Heuristic Algorithm for High-Utility Itemset Mining in Large Transaction Datasets. Fang W, Jiang H, Lu H, Sun J, Wu X, Lin J. IEEE Transactions on Knowledge and Data Engineering, 2024, 36(2): 652-667. (SCI, CCF A)

• 结合扩散模型图像编辑的图文检索后门攻击. 杨舜, 陆恒杨 计算机科学与探索, 2024, 18(04): 1068-1082.

• Mutual Information-Guided GA for Bayesian Network Structure Learning](https://ieeexplore.ieee.org/abstract/document/9940608). Yan K, Fang W, Lu H, Zhang X, Sun J, Wu X. IEEE Transactions on Knowledge and Data Engineering, 2023, 35(8): 8282-8299. (SCI, CCF A)

• Think More Ambiguity Less: A Novel Dual Interactive Model with Local and Global Semantics for Chinese NER. Jia Y, Fang W, Lu H. ACM Transactions on Asian and Low-Resource Language Information Processing, 2023, 22(6): 1-21.

• 基于提示调优的中文上位词发现. 周俊康, 陆恒杨, 刘哲 和 方伟. 中文信息学报, 2023.

• Advances and applications of machine learning and intelligent optimization algorithms in genome-scale metabolic network models. Bai L, You Q, Zhang C, Sun J, Liu L, Lu H, Chen Q. Systems Microbiology and Biomanufacturing, 2022.

• High-utility itemsets mining based on binary particle swarm optimization with multiple adjustment strategies. Fang W, Zhang Q, Lu H, Lin J. Applied Soft Computing, 2022, 124: 109073. (SCI)

• A deep neural networks-based fusion model for COVID-19 rumor detection from online social media. Lu H, Yang J, Fang W, Song X, Wang C. Data Technologies and Applications, 2022, 56(5): 806-824. (SCI)

• 面向网络社交媒体的少样本新冠谣言检测. 陆恒杨, 范晨悠 * 和 吴小俊. 中文信息学报, 2022, 36(1): 135-144.

• LAMB: A novel algorithm of label collaboration based multi-label learning. Zhang Y, Zhang Z, Chen M, Lu H, Zhang L, Wang C
  Intelligent Data Analysis, 2022, 26(5): 1229-1245.

• 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.

• One for “All”: A unified model for fine-grained sentiment analysis under three tasks. [DATA]. Lu H, Yang J *, Hu C, Fang W. PeerJ Computer Science, 2021, 7: e816. (SCI)

• A novel few-shot learning based multi-modality fusion model for COVID-19 rumor detection from online social media. [CODE]. Lu H *, Fan C, Song X, Fang W. PeerJ Computer Science, 2021, 7: e688. (SCI)

• SenU-PTM: a novel phrase-based topic model for short-text topic discovery by exploiting word embeddings. Lu H *, Zhang Y, Du Y. Data Technologies and Applications, 2021, 55(5): 643-660. (SCI)

• Polysemy Needs Attention: Short-Text Topic Discovery With Global and Multi-Sense Information. Lu H *, Yang J, Zhang Y, Li Z. IEEE ACCESS, 2021, 9: 14918-14932. (EI, SCI)

• What is Discussed about COVID-19: A Multi-Modal Framework for Analyzing Microblogs from Sina Weibo without Human Labeling. Lu H *, Lou Y, Jin B, Xu M. CMC-Computers, Materials & Continua, 2020, 64(3): 1453-1471. (EI, SCI)

• Multi-Entity Aspect-Based Sentiment Analysis with Context, Entity, Aspect Memory and Dependency Information. Yang J, Yang R, Lu H, Wang C, Xie J. ACM Transactions on Asian and Low-Resource Language Information Processing, 2019, 18(4). (EI, SCI)

• Utilizing Recurrent Neural Network for Topic Discovery in Short Text Scenarios. Lu H, Kang N, Li Y, Zhan Q, Xie J, Wang C *. Intelligent Data Analysis, 2019, 23(2): 259-277. (EI, SCI)

• 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. 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

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

📖 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)
• Introduction to Artificial Intelligence. (for undergraduate students of CS Dept. Spring, 2020, 2021, 2022)
• Course Design of Artificial Intelligence. (for undergraduate students of CS Dept. Summer, 2020, 2021)
• Introduction to C++ Programming. (for undergraduate students of CS Dept. Spring, 2020)

🧑‍🎓 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

2020

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

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

• 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, 2024: 马力（省优、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, 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名本科生通过答辩，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.

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, 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, 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).

📂 Fundings

• 2022.08, China Postdoctoral Science Foundation
• 2021.01-2023.12, National Natural Science Foundation of China
• 2020.11-2025.09, National Key Research and Development Program of China