Publications

Journal Publications

• Liu, Y., Wang, C., Lou, Y., Cao, Y., and Wang, H., 2024. Attackers Are Not the Same! Unveiling the Impact of Feature Distribution on Label Inference Attacks. IEEE Transactions on Information Forensics and Security.
• Zhang, R., Huang, Y., Lou, Y., Ding, W., Cao, Y., and Wang, H., 2024. Synergistic Attention-Guided Cascaded Graph Diffusion Model for Complementarity Determining Region Synthesis. IEEE Transactions on Neural Networks and Learning Systems.
• Chen, Y., Xu, D., Lou, Y., Li, H., Ding, W., and Huang, Y., 2025. Semi-supervised medical image classification via Cross-Training and Dual-Teacher fusion model. Information Fusion, 103389.
• Lou, Y., Huang, Y., Xing, X., Cao, Y. and Wang, H., 2022. Mts-lstdm: multi-time-scale long short-term double memory for power load forecasting. Journal of systems architecture, 125, p.102443.
• Zhang, J., Li, H., Xu, D., Lou, Y., Ran, M., Jin, Z. and Huang, Y., 2024. Decouple and decorrelate: A disentanglement security framework combing sample weighting for cross-institution biased disease diagnosis. IEEE Internet of Things Journal.
• Qin, Y., Lou, Y., Huang, Y., Chen, R. and Yue, W., 2022. An ensemble deep learning approach combining phenotypic data and fmri for adhd diagnosis. Journal of Signal Processing Systems, 94(11), pp.1269-1281.
• Li, X., Ren, X., Lou, Y., Gao, S., Ge, X., and Liao, X. (2023). An SG-CIM model mapping technology study via knowledge graph and graph attention network. Science & Technology Review, 41(15), 124-132.
• Li, Y., Hao, B., Lou, Y., Yang, S., Gao, S., and Zhang, P. (2023). An entity mapping technology of national grid public data model integrating BERT and congestion filtering. Science & Technology Review, 41(15), 113-123.
• Zhou, S., Ma, Q., Lou, Y., Lv, X., Tian, H., Wei, J., Zhang, K., Zhu, G., Chen, Q., Si, T. and Wang, G., 2021. Machine learning to predict clinical remission in depressed patients after acute phase selective serotonin reuptake inhibitor treatment. Journal of Affective Disorders, 287, pp.372-379.
• Zhao, C., Sun, Z., Yu, Y., Lou, Y., Liu, L., Li, G., Liu, J., Chen, L., Zhu, S., Huang, Y. and Zhang, Y., 2024. A machine learning-based diagnosis modeling of IgG4 Hashimoto’s thyroiditis. Endocrine, pp.672-681.

Conference Publications

• Zhang, R., Huang, Y., Lou, Y., Xin, Y., Chen, H., Cao, Y., & Wang, H., 2025, April. Exploit Your Latents: Coarse-Grained Protein Backmapping with Latent Diffusion Models. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 39, No. 1, pp. 1111-1119).
• Zhang, R., Lou, Y., Xu, D., Cao, Y., Wang, H. and Huang, Y., 2024, March. A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data Synthesis. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 38, No. 15, pp. 16803-16811).
• Liu, Y., Lou, Y., Liu, Y., Cao, Y., & Wang, H., 2024, January. Label leakage in vertical federated learning: A survey. In International Joint Conference on Artificial Intelligence (IJCAI).
• Tao, Z., Chen, X., Jin, Z., Bai, X., Zhao, H. and Lou, Y., 2024. EVIT: Event-Oriented Instruction Tuning for Event Reasoning. Findings of the Association for Computational Linguistics ACL.
• Lou, Y., Chen, Y., Xu, D., Zhou, D., Cao, Y., Wang, H. and Huang, Y., 2023, December. Refining the Unseen: Self-supervised Two-stream Feature Extraction for Image Quality Assessment. In 2023 IEEE International Conference on Data Mining (ICDM) (pp. 1193-1198). IEEE.
• Lou, Y., Zhang, J., Xu, D., Cao, Y., Wang, H., & Huang, Y., 2024, July. No-reference mri quality assessment via contrastive representation: Spatial and frequency domain perspectives. In 2024 IEEE International Conference on Multimedia and Expo (ICME) (pp. 1-6). IEEE.
• Lou, Y., Xu, D., Zhang, R., Zhang, J., Cao, Y., Wang, H., & Huang, Y., 2024, December. MR Image Quality Assessment via Enhanced Mamba: A Hybrid Spatial-Frequency Approach. In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 3561-3564). IEEE.
• Zhang, J., Xu, D., Chen, Y., Lou, Y., & Huang, Y., 2024, December. Curriculum learning for self-iterative semi-supervised medical image segmentation. In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 1342-1349). IEEE.
• Zhang, J., Xu, D., Lou, Y. and Huang, Y., 2024, April. A Novel Multi-Atlas Fusion Model Based On Contrastive Learning For Functional Connectivity Graph Diagnosis. In ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 2295-2299). IEEE.
• Xu, D., Chen, Y., Zhang, J., Lou, Y., Wang, H., He, J. and Huang, Y., 2023, December. Radiology Report Generation via Structured Knowledge-Enhanced Multi-modal Attention and Contrastive Learning. In 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 2320-2325). IEEE.
• Yan, Y., Gu, Z., Lou, Y., Tang, X., Lv, H., Wu, J. and Pi, M., 2023, November. A Flexible Framework of General Clinical Data Quality Control System. In 2023 IEEE International Conference on Medical Artificial Intelligence (MedAI) (pp. 290-295). IEEE.
• Yan, Y., Wang, H., Zhang, J., Song, X., Lou, Y., Dai, T., Wang, L. and Lv, M., 2023, November. Text Classification Algorithm for Medical Adverse Events Based on Deep Learning. In 2023 IEEE International Conference on Medical Artificial Intelligence (MedAI) (pp. 235-244). IEEE.
• Liao, X., Li, Y., Lou, Y., Ge, X., Gao, S. and Sun, P., 2023, June. The sg-cim entity linking method based on bert and entity name embeddings. In 2023 4th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT) (pp. 362-366). IEEE.
• Wang, T., Qin, Y., Huang, Y., Lou, Y., Xu, C. and Chen, L., 2022, October. Power grid data monitoring and analysis system based on edge computing. In 2022 IEEE 7th International Conference on Smart Cloud (SmartCloud) (pp. 32-38). IEEE.

Preprints

• Lou, Y., He, Y., Zhang, R., Cao, Y., Wang, H., & Huang, Y. (2025). DEFNet: Multitasks-based Deep Evidential Fusion Network for Blind Image Quality Assessment. arXiv preprint arXiv:2507.19418.
• You, Z., Zhang, Y., Xu, D., Lou, Y., Yan, Y., Wang, W., Zhang, H., & Huang, Y. (2025). DatawiseAgent: A Notebook-Centric LLM Agent Framework for Automated Data Science. arXiv preprint arXiv:2503.07044.