Continual Learning Strategy in One-Stage Object Detection Framework Based on Experience Replay for Autonomous Driving Vehicle. - Jeng-Lun Shieh; Qazi Mazhar ul Haq; Muhamad Amirul Haq; Said Karam; Peter Chondro; De-Qin Gao; Shanq-Jang Ruan (Sensors, 2020)

An Incremental Learning of YOLOv3 Without Catastrophic Forgetting for Smart City Applications. - Qazi Mazhar ul Haq; Shanq-Jang Ruan; Muhamad Amirul Haq; Said Karam; Jeng-Lun Shieh; Peter Chondro; De-Qin Gao (IEEE Consumer Electron. Mag., 2022)

Utilizing incremental branches on a one-stage object detection framework to avoid catastrophic forgetting. - Jeng-Lun Shieh; Muhamad Amirul Haq; Qazi Mazhar ul Haq; Shanq-Jang Ruan; Peter Chondro (Mach. Vis. Appl., 2022)

Positive-weighting feature enhancement for weakly supervised object localization. - Jeng-Lun Shieh; Sheng-Feng Yu; Shanq-Jang Ruan (Pattern Recognit. Lett., 2023)

A Throughput-Optimized Accelerator for Submanifold Sparse Convolutional Networks. - Yu-Hsuan Lai; Shanq-Jang Ruan; Ming Fang; Edwin Naroska; Jeng-Lun Shieh (GCCE, 2024)

Monocular 3D Object Detection Utilizing Auxiliary Learning With Deformable Convolution. - Jiunhan Chen; Jeng-Lun Shieh; Muhamad Amirul Haq; Shanq-Jang Ruan (IEEE Trans. Intell. Transp. Syst., 2024)

Trainable Hypervectors Encoding for Efficient 3D Loop-Closure Detection on Edge Devices. - Jeng-Lun Shieh; Shanq-Jang Ruan (IEEE Robotics Autom. Lett., 2025)