GeoExplainer: Interpreting Graph Convolutional Networks with geometric masking. - Rui Yu 004; Yanshan Li; Huajie Liang; Zhiyuan Chen (Neurocomputing, 2024)

CR-CAM: Generating explanations for deep neural networks by contrasting and ranking features. - Yanshan Li; Huajie Liang; Hongfang Zheng; Rui Yu 004 (Pattern Recognit., 2024)

BI-CAM: Generating Explanations for Deep Neural Networks Using Bipolar Information. - Yanshan Li; Huajie Liang; Rui Yu 004 (IEEE Trans. Multim., 2024)

WB-LRP: Layer-wise relevance propagation with weight-dependent baseline. - Yanshan Li; Huajie Liang; Lirong Zheng 003 (Pattern Recognit., 2025)

Unsupervised Waste Classification By Dual-Encoder Contrastive Learning and Multi-Clustering Voting (DECMCV). - Kui Huang; Mengke Song; Shuo Ba; Ling An; Huajie Liang; Huanxi Deng; Yang Liu 268; Zhenyu Zhang; Chichun Zhou 001 (CoRR, 2025)

Time-EAPCR: A Deep Learning-Based Novel Approach for Anomaly Detection Applied to the Environmental Field. - Lei Liu; Yuchao Lu; Ling An; Huajie Liang; Chichun Zhou 001; Zhenyu Zhang (CoRR, 2025)

Time-EAPCR-T: A Universal Deep Learning Approach for Anomaly Detection in Industrial Equipment. - Huajie Liang; Di Wang; Yuchao Lu; Mengke Song; Lei Liu; Ling An; Ying Liang; Xingjie Ma; Zhenyu Zhang; Chichun Zhou 001 (CoRR, 2025)