Yanran Fu, Meijuan Wang, Ruijiang Li, Kunhong Liu*, Jiang Lu*, Song He*, Xiaochen Bo*. "HGMetaADR: A Multimodal Heterogeneous Graph Meta-Learning Framework for Generalized Adverse Drug Reaction Prediction". Briefings in Bioinformatics 2026 Accepted, to appear. (IF: 7.3, 中科院一区Top，JCR1区)
Jianxuan Hu, Lianlian Wu*, Song He*, Xiaochen Bo*, Jiang Lu*. "AI-Driven Drug-Target Interaction Prediction: From Data Representation to Model Design". Journal of Chemical Information and Modeling 2026 https://doi.org/10.1021/acs.jcim.6c01920. (IF: 6.4, 中科院二区Top，JCR1区)
Xiangyu Yan, Zifan Guo, Fanxing Zhou, Yixin Cui, Zhensheng Zhang, Zhiyang Jing, Lu Wang, Zhimin Fan, Jiang Lu*, Xudong Xing*, Hua Yang*. "AnnoNet-TCMs: An Annotation Network-Driven Discovery of Novel Active Compounds and Mechanisms in Traditional Chinese Medicine". Journal of Advanced Research 2026. (IF: 17.1, 中科院一区Top)
Zhong Cao, Jiang Lu*, Liu He, Yuheng Luo. "Unsupervised Tractive Momentum: A Novel Unsupervised Few-shot Learning Framework". Journal of Supercomputing 2025, 81, 1281. (IF: 3.5)
Jiang Lu#, Lianlian Wu#, Ruijiang Li, Mengxuan Wan, Jun Yang, Peng Zan, Hui Bai*, Song He*, Xiaochen Bo*. "ToxACoL: An Endpoint-Aware and Task-Focused Compound Representation Learning Paradigm for Acute Toxicity Assessment". Nature Communications 2025, 5992. (IF: 18.1, 中科院一区Top)
Yanran Fu, Junshan Han, Yong Xu, Kunhong Liu*, Jiang Lu*, Song He*, Xiaochen Bo*. "RL-GCL: Reinforcement Learning-Guided Contrastive Learning for Molecular Property Prediction". Information Fusion 2025, 122: 103208. (IF: 17.4, 中科院一区Top)
Jiang Lu, Changming Xiao, Changshui Zhang*. "Meta-Modulation: A General Learning Framework for Cross-Task Adaptation". IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2025, 36(4), 6407-6421. (IF: 10.2, 中科院一区Top)
Ruijiang Li#, Jiang Lu#, Ziyi Liu#, Duoyun Yi, Mengxuan Wan, Yixin Zhang*, Peng Zan*, Song He*, Xiaochen Bo*. "Reusability Report: Exploring the Utility of Variational Graph Encoders for Predicting Molecular Toxicity in Drug Design". Nature Machine Intelligence 2024, 6, 1457-1466. (IF: 29.8, 中科院一区Top)
Jiang Lu, Pinghua Gong, Jieping Ye, Jianwei Zhang, Changshui Zhang*. "A Survey on Machine Learning from Few Samples". Pattern Recognition 2023, 139: 109480. (IF: 9.1, 中科院一区Top)
Jiang Lu, Lei Li, Changshui Zhang*. "Self-reinforcing unsupervised matching". IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2022, 44(8), 4404-4418. (IF: 23.6, 中科院一区Top)
Lei Li, Wenzheng Hu, Jiang Lu, Changshui Zhang*. "Leaf Vein Segmentation with Self-Supervision". Computers and Electronics in Agriculture 2022, 203: 107352. (IF: 10.3, 中科院一区Top)
Jiang Lu, Sheng Jin, Jian Liang, Changshui Zhang*. "Robust Few-shot Learning for User-provided Data". IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2021, 32(4), 1433-1447. (IF: 14.255, 中科院一区Top)
Zhong Cao, Jiang Lu, Sen Cui, Changshui Zhang*. "Zero-shot Handwritten Chinese Character Recognition with Hierarchical Decomposition Embedding". Pattern Recognition 2020, 107: 107488. (IF: 9.1, 中科院一区Top)
Jiang Lu, Zhong Cao, Kailun Wu, Gang Zhang, Changshui Zhang*. "Boosting Few-shot Image Recognition via Domain Alignment Prototypical Networks". International Conference on Tools with Artificial Intelligence (ICTAI) 2018, 260-264.
Jiang Lu, Jin Li, Ziang Yan, Fenghua Mei, Changshui Zhang*. "Attribute-Based Synthetic Network (ABS-Net): Learning More from Pseudo Feature Representations". Pattern Recognition 2018, 80, 129-142. (IF: 9.1, 中科院一区Top)
Jiang Lu, Jie Hu, Guannan Zhao, Fenghua Mei, Changshui Zhang*. "An In-field Automatic Wheat Disease Diagnosis System". Computers and Electronics in Agriculture 2017, 142, 369-379. (IF: 10.3, 中科院一区Top)
Zhengfang Qian, Jiang Lu*, Xiaoshuai Sun. "A Brief Analysis of the Application of Deep Learning in Future Surface Unmanned Boat Platforms". Shipbuilding of China 2020, 61(S01), 6-13.