Power Grid Data Monitoring and Analysis System based on Edge Computing. - Tianyou Wang; Yuanze Qin; Yu Huang 004; Yiwei Lou; Chongyou Xu; Lei Chen (SmartCloud, 2022)

MTS-LSTDM: Multi-Time-Scale Long Short-Term Double Memory for power load forecasting. - Yiwei Lou; Yu Huang 004; Xuliang Xing; Yongzhi Cao; Hanpin Wang (J. Syst. Archit., 2022)

An Ensemble Deep Learning Approach Combining Phenotypic Data and fMRI for ADHD Diagnosis. - Yuanze Qin; Yiwei Lou; Yu Huang 004; Rigao Chen; Weihua Yue (J. Signal Process. Syst., 2022)

Radiology Report Generation via Structured Knowledge-Enhanced Multi-modal Attention and Contrastive Learning. - Dexuan Xu; Yanyuan Chen; Jiayu Zhang; Yiwei Lou; Hanpin Wang; Jing He; Yu Huang 004 (BIBM, 2023)

Refining the Unseen: Self-supervised Two-stream Feature Extraction for Image Quality Assessment. - Yiwei Lou; Yanyuan Chen; Dexuan Xu; Doudou Zhou; Yongzhi Cao; Hanpin Wang; Yu Huang 004 (ICDM, 2023)

A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data Synthesis. - Rongchao Zhang; Yiwei Lou; Dexuan Xu; Yongzhi Cao; Hanpin Wang; Yu Huang 004 (AAAI, 2024)

EVIT: Event-Oriented Instruction Tuning for Event Reasoning. - Zhengwei Tao; Xiancai Chen; Zhi Jin; Xiaoying Bai; Haiyan Zhao 001; Yiwei Lou (ACL (Findings), 2024)

MR Image Quality Assessment via Enhanced Mamba: A Hybrid Spatial-Frequency Approach. - Yiwei Lou; Dexuan Xu; Rongchao Zhang; Jiayu Zhang; Yongzhi Cao; Hanpin Wang; Yu Huang 004 (BIBM, 2024)

Curriculum Learning for Self-Iterative Semi-Supervised Medical Image Segmentation. - Jiayu Zhang; Dexuan Xu; Yanyuan Chen; Yiwei Lou; Yue Huang (BIBM, 2024)

A Novel Multi-Atlas Fusion Model Based On Contrastive Learning For Functional Connectivity Graph Diagnosis. - Jiayu Zhang; Dexuan Xu; Yiwei Lou; Yu Huang 004 (ICASSP, 2024)

No-Reference MRI Quality Assessment via Contrastive Representation: Spatial and Frequency Domain Perspectives. - Yiwei Lou; Jiayu Zhang; Dexuan Xu; Yongzhi Cao; Hanpin Wang; Yu Huang 004 (ICME, 2024)

Label Leakage in Vertical Federated Learning: A Survey. - Yige Liu; Yiwei Lou; Yang Liu; Yongzhi Cao; Hanpin Wang (IJCAI, 2024)

Decouple and Decorrelate: A Disentanglement Security Framework Combining Sample Weighting for Cross-Institution Biased Disease Diagnosis. - Jiayu Zhang; Hang Li; Dexuan Xu; Yiwei Lou; Menglong Ran; Zhi Jin; Yu Huang 004 (IEEE Internet Things J., 2024)

Exploit Your Latents: Coarse-Grained Protein Backmapping with Latent Diffusion Models. - Rongchao Zhang; Yu Huang 004; Yiwei Lou; Yi Xin; Haixu Chen; Yongzhi Cao; Hanpin Wang (AAAI, 2025)

Semi-supervised medical image classification via Cross-Training and Dual-Teacher fusion model. - Yanyuan Chen; Dexuan Xu; Yiwei Lou; Hang Li; Weiping Ding 001; Yu Huang 004 (Inf. Fusion, 2025)

Attackers Are Not the Same! Unveiling the Impact of Feature Distribution on Label Inference Attacks. - Yige Liu; Che Wang; Yiwei Lou; Yongzhi Cao; Hanpin Wang (IEEE Trans. Inf. Forensics Secur., 2025)

DatawiseAgent: A Notebook-Centric LLM Agent Framework for Automated Data Science. - Ziming You; Yumiao Zhang; Dexuan Xu; Yiwei Lou; Yandong Yan; Wei Wang; Huaming Zhang; Yu Huang 004 (CoRR, 2025)

DEFNet: Multitasks-based Deep Evidential Fusion Network for Blind Image Quality Assessment. - Yiwei Lou; Yuanpeng He; Rongchao Zhang; Yongzhi Cao; Hanpin Wang; Yu Huang 004 (CoRR, 2025)

Synergistic Attention-Guided Cascaded Graph Diffusion Model for Complementarity Determining Region Synthesis. - Rongchao Zhang; Yu Huang 004; Yiwei Lou; Weiping Ding 001; Yongzhi Cao; Hanpin Wang (IEEE Trans. Neural Networks Learn. Syst., 2025)