A Type-Aware Approach to Message Clustering for Protocol Reverse Engineering. - Xin Luo 009; Dan Chen 001; Yongjun Wang; Peidai Xie (Sensors, 2019)

Attention Unet++: A Nested Attention-Aware U-Net for Liver CT Image Segmentation. - Chen Li 034; Yusong Tan; Wei Chen 009; Xin Luo 009; Yuanming Gao; Xiaogang Jia; Zhiying Wang 003 (ICIP, 2020)

CenterRepp: Predict Central Representative Point Set's Distribution For Detection. - Yulin He; Limeng Zhang; Wei Chen 009; Xin Luo 009; Xiaogang Jia; Chen Li 034 (ICPR, 2020)

Application of U-Shaped Convolutional Neural Network Based on Attention Mechanism in Liver CT Image Segmentation. - Chen Li 034; Wei Chen 009; Xin Luo 009; Mingfei Wu; Xiaogang Jia; Yusong Tan; Zhiying Wang 003 (MICAD, 2020)

ANU-Net: Attention-based nested U-Net to exploit full resolution features for medical image segmentation. - Chen Li 034; Yusong Tan; Wei Chen 009; Xin Luo 009; Yulin He; Yuanming Gao; Fei Li (Comput. Graph., 2020)

A Unified Framework for Depth Prediction from a Single Image and Binocular Stereo Matching. - Wei Chen 009; Xin Luo 009; Zhengfa Liang; Chen Li 034; Mingfei Wu; Yuanming Gao; Xiaogang Jia (Remote. Sens., 2020)

Tri-Directional Tasks Complementary Learning for Unsupervised Domain Adaptation of Cross-modality Medical Image Semantic Segmentation. - Chen Li 034; Wei Chen 009; Mingfei Wu; Xin Luo 009; Yulin He; Yusong Tan (BIBM, 2021)

AttENT: Domain-Adaptive Medical Image Segmentation via Attention-Aware Translation and Adversarial Entropy Minimization. - Chen Li 034; Xin Luo 009; Wei Chen 009; Yulin He; Mingfei Wu; Yusong Tan (BIBM, 2021)

Multi-Scale Cascade Disparity Refinement Stereo Network. - Xiaogang Jia; Wei Chen 009; Zhengfa Liang; Xin Luo 009; Mingfei Wu; Yusong Tan; Libo Huang (ICASSP, 2021)

Fast and Accurate Lane Detection via Frequency Domain Learning. - Yulin He; Wei Chen 009; Zhengfa Liang; Dan Chen 001; Yusong Tan; Xin Luo 009; Chen Li 034; Yulan Guo (ACM Multimedia, 2021)

Exploiting Negative Learning for Implicit Pseudo Label Rectification in Source-Free Domain Adaptive Semantic Segmentation. - Xin Luo 009; Wei Chen 009; Yusong Tan; Chen Li 034; Yulin He; Xiaogang Jia (CoRR, 2021)

Fast and Accurate Lane Detection via Graph Structure and Disentangled Representation Learning. - Yulin He; Wei Chen 009; Chen Li 034; Xin Luo 009; Libo Huang (Sensors, 2021)

A Joint 2D-3D Complementary Network for Stereo Matching. - Xiaogang Jia; Wei Chen 009; Zhengfa Liang; Xin Luo 009; Mingfei Wu; Chen Li 034; Yulin He; Yusong Tan; Libo Huang (Sensors, 2021)

Adaptive Pseudo Labeling for Source-Free Domain Adaptation in Medical Image Segmentation. - Chen Li 034; Wei Chen 009; Xin Luo 009; Yulin He; Yusong Tan (ICASSP, 2022)

Multi-Level Consistency Learning for Source-Free Model Adaptation. - Xin Luo 009; Wei Chen 009; Chen Li 034; Bin Zhou 004; Yusong Tan (IEEE Robotics Autom. Lett., 2022)

Domain Generalized Fundus Image Segmentation via Dual-Level Mixing. - Xin Luo 009; Wei Chen 009; Chen Li 034; Bin Zhou 004; Yusong Tan (ICASSP, 2023)

Adversarial style discrepancy minimization for unsupervised domain adaptation. - Xin Luo 009; Wei Chen 009; Zhengfa Liang; Chen Li 034; Yusong Tan (Neural Networks, 2023)

A knowledge-based learning framework for self-supervised pre-training towards enhanced recognition of biomedical microscopy images. - Wei Chen 009; Chen Li 034; Dan Chen 001; Xin Luo 009 (Neural Networks, 2023)

Crots: Cross-Domain Teacher-Student Learning for Source-Free Domain Adaptive Semantic Segmentation. - Xin Luo 009; Wei Chen 009; Zhengfa Liang; Longqi Yang; Siwei Wang; Chen Li 034 (Int. J. Comput. Vis., 2024)

A Cost-effective Solution for Remote Sensing Image Segmentation via Train/Test-Time Adaptation. - Wei Chen 009; Xin Luo 009; Yulin He; Tianrui Liu; Di Wu; Tianhang Guo; Yuhang Li; Yuhua Tang (ICASSP, 2025)