Semi-supervised Bolt Anomaly Detection in Haphazard Environment. - Chuangwei Liu; Yi Yan; Nachuan Ma; Yun Peng; Chengju Liu; Qijun Chen (CASE, 2022)

Real-Time Human Falling Recognition via Spatial and Temporal Self-Attention Augmented Graph Convolutional Network. - Jiayao Yuan; Chengju Liu; Chuangwei Liu; Liuyi Wang; Qijun Chen (RCAR, 2022)

Semi-Supervised Bolt Anomaly Detection Based on Local Feature Reconstruction. - Yun Peng; Chuangwei Liu; Yi Yan; Nachuan Ma; Deming Wang; Chengju Liu; Qijun Chen (IEEE Trans. Instrum. Meas., 2023)

S3M-Net: Joint Learning of Semantic Segmentation and Stereo Matching for Autonomous Driving. - Zhiyuan Wu; Yi Feng; Chuangwei Liu; Fisher Yu 001; Qijun Chen; Rui Fan 001 (CoRR, 2024)

Playing to Vision Foundation Model's Strengths in Stereo Matching. - Chuangwei Liu; Qijun Chen; Rui Fan 001 (CoRR, 2024)

Establishing Reality-Virtuality Interconnections in Urban Digital Twins for Superior Intelligent Road Inspection. - Yikang Zhang; Chuangwei Liu; Jiahang Li; Yingbing Chen; Jie Cheng; Rui Fan (CoRR, 2024)

S$^{3}$M-Net: Joint Learning of Semantic Segmentation and Stereo Matching for Autonomous Driving. - Zhiyuan Wu; Yi Feng; Chuangwei Liu; Fisher Yu 001; Qijun Chen; Rui Fan 001 (IEEE Trans. Intell. Veh., 2024)

SAM-LAD: Segment Anything Model meets zero-shot logic anomaly detection. - Yun Peng; Xiao Lin; Nachuan Ma; Jiayuan Du; Chuangwei Liu; Chengju Liu; Qijun Chen (Knowl. Based Syst., 2025)

These Maps Are Made by Propagation: Adapting Deep Stereo Networks to Road Scenarios With Decisive Disparity Diffusion. - Chuangwei Liu; Yikang Zhang; Qijun Chen; Ioannis Pitas; Rui Fan 001 (IEEE Trans. Image Process., 2025)

Fully Exploiting Vision Foundation Model's Profound Prior Knowledge for Generalizable RGB-Depth Driving Scene Parsing. - Sicen Guo; Tianyou Wen; Chuangwei Liu; Qijun Chen; Rui Fan (CoRR, 2025)