Face Sketch Synthesis Style Similarity: A New Structure Co-occurrence Texture Measure. - Deng-Ping Fan; Shengchuan Zhang; Yu-Huan Wu; Ming-Ming Cheng; Bo Ren 003; Rongrong Ji; Paul L. Rosin (CoRR, 2018)

An Evaluation of Feature Matchers for Fundamental Matrix Estimation. - Jia-Wang Bian; Yu-Huan Wu; Ji Zhao 001; Yun Liu 011; Le Zhang 001; Ming-Ming Cheng; Ian Reid 001 (BMVC, 2019)

Scoot: A Perceptual Metric for Facial Sketches. - Deng-Ping Fan; Shengchuan Zhang; Yu-Huan Wu; Yun Liu 011; Ming-Ming Cheng; Bo Ren 003; Paul L. Rosin; Rongrong Ji (ICCV, 2019)

An Evaluation of Feature Matchers forFundamental Matrix Estimation. - Jia-Wang Bian; Yu-Huan Wu; Ji Zhao 001; Yun Liu 011; Le Zhang 001; Ming-Ming Cheng; Ian D. Reid 001 (CoRR, 2019)

Rethinking Computer-Aided Tuberculosis Diagnosis. - Yun Liu 011; Yu-Huan Wu; Yunfeng Ban; Huifang Wang; Ming-Ming Cheng (CVPR, 2020)

JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation. - Yu-Huan Wu; Shanghua Gao; Jie Mei 004; Jun Xu 019; Deng-Ping Fan; Chao-Wei Zhao; Ming-Ming Cheng (CoRR, 2020)

DOTS: Decoupling Operation and Topology in Differentiable Architecture Search. - Yuchao Gu; Yun Liu 011; Yi Yang 001; Yu-Huan Wu; Shao-Ping Lu; Ming-Ming Cheng (CoRR, 2020)

EDN: Salient Object Detection via Extremely-Downsampled Network. - Yu-Huan Wu; Yun Liu 011; Le Zhang 001; Ming-Ming Cheng (CoRR, 2020)

DOTS: Decoupling Operation and Topology in Differentiable Architecture Search. - Yuchao Gu; Lijuan Wang; Yun Liu 011; Yi Yang 001; Yu-Huan Wu; Shao-Ping Lu; Ming-Ming Cheng (CVPR, 2021)

JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation. - Yu-Huan Wu; Shanghua Gao; Jie Mei 004; Jun Xu 019; Deng-Ping Fan; Rongguo Zhang; Ming-Ming Cheng (IEEE Trans. Image Process., 2021)

Regularized Densely-Connected Pyramid Network for Salient Instance Segmentation. - Yu-Huan Wu; Yun Liu 011; Le Zhang 001; Wang Gao 001; Ming-Ming Cheng (IEEE Trans. Image Process., 2021)

BE-STI: Spatial-Temporal Integrated Network for Class-agnostic Motion Prediction with Bidirectional Enhancement. - Yunlong Wang 009; Hongyu Pan; Jun Zhu; Yu-Huan Wu; Xin Zhan; Kun Jiang 002; Diange Yang (CVPR, 2022)

Ret3D: Rethinking Object Relations for Efficient 3D Object Detection in Driving Scenes. - Yu-Huan Wu; Da Zhang; Le Zhang 001; Xin Zhan; Dengxin Dai; Yun Liu 011; Ming-Ming Cheng (CoRR, 2022)

Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation. - Yun Liu 011; Yu-Huan Wu; Peisong Wen; Yujun Shi; Yu Qiu; Ming-Ming Cheng (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

MobileSal: Extremely Efficient RGB-D Salient Object Detection. - Yu-Huan Wu; Yun Liu 011; Jun Xu 019; Jia-Wang Bian; Yuchao Gu; Ming-Ming Cheng (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

EDN: Salient Object Detection via Extremely-Downsampled Network. - Yu-Huan Wu; Yun Liu 011; Le Zhang 001; Ming-Ming Cheng; Bo Ren 003 (IEEE Trans. Image Process., 2022)

P2T: Pyramid Pooling Transformer for Scene Understanding. - Yu-Huan Wu; Yun Liu 011; Xin Zhan; Ming-Ming Cheng (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Revisiting Computer-Aided Tuberculosis Diagnosis. - Yun Liu 011; Yu-Huan Wu; Shi-Chen Zhang; Li Liu 002; Min Wu 008; Ming-Ming Cheng (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Vision Transformers with Hierarchical Attention. - Yun Liu 011; Yu-Huan Wu; Guolei Sun; Le Zhang 001; Ajad Chhatkuli; Luc Van Gool (Mach. Intell. Res., 2024)

GAPNet: A Lightweight Framework for Image and Video Salient Object Detection via Granularity-Aware Paradigm. - Yu-Huan Wu; Wei Liu 010; Zi-Xuan Zhu; Zizhou Wang; Yong Liu 026; Liangli Zhen (CoRR, 2025)

Revisiting Efficient Semantic Segmentation: Learning Offsets for Better Spatial and Class Feature Alignment. - Shi-Chen Zhang; Yunheng Li; Yu-Huan Wu; Qibin Hou; Ming-Ming Cheng (CoRR, 2025)

Low-Resolution Self-Attention for Semantic Segmentation. - Yu-Huan Wu; Shi-Chen Zhang; Yun Liu 011; Le Zhang 001; Xin Zhan; Daquan Zhou; Jiashi Feng; Ming-Ming Cheng; Liangli Zhen (IEEE Trans. Pattern Anal. Mach. Intell., 2025)