Maximum weight and minimum redundancy: A novel framework for feature subset selection. - Jianzhong Wang; Lishan Wu; Jun Kong 004; Yuxin Li 001; Baoxue Zhang (Pattern Recognit., 2013)

RGBD Co-saliency Detection via Bagging-Based Clustering. - Hangke Song; Zhi Liu 003; Yufeng Xie; Lishan Wu; Mengke Huang (IEEE Signal Process. Lett., 2016)

Multiple Kernel Boosting Based Two-level RGBD Image Co-Segmentation. - Lishan Wu; Zhi Liu 003; Ran Shi (BigMM, 2018)

RGBD co-saliency detection via multiple kernel boosting and fusion. - Lishan Wu; Zhi Liu 003; Hangke Song; Olivier Le Meur (Multim. Tools Appl., 2018)

An Adaptive Method for Gait Event Detection of Gait Rehabilitation Robots. - Jing Ye 005; Hongde Wu; Lishan Wu; Jianjun Long; Yuling Zhang; Gong Chen 001; Chunbao Wang 001; Xun Luo; Qinghua Hou; Yi Xu (Frontiers Neurorobotics, 2020)

Text semantic matching with an enhanced sample building method based on contrastive learning. - Lishan Wu; Jie Hu 007; Fei Teng 001; Tianrui Li 001; Shengdong Du (Int. J. Mach. Learn. Cybern., 2023)

COLORSHOP: Color Manipulation of Objects in Videos Using Diffusion Models. - Hongbo Huang; Linkai Huang; Longfei Xu; Lishan Wu; Xin Zhang (ICIC (11), 2024)

Fine-Grained Image Editing Using ControlNet: Expanding Possibilities in Visual Manipulation. - Longfei Xu; Hongbo Huang; Yushuang Zhao; Shuwen Pan; Yaolin Zheng; Xiaoxu Yan; Linkai Huang; Lishan Wu (ICIC (6), 2024)

Text semantic matching algorithm based on the introduction of external knowledge under contrastive learning. - Jie Hu 007; Yinglian Zhu; Lishan Wu; Qilei Luo; Fei Teng 001; Tianrui Li 001 (Int. J. Mach. Learn. Cybern., 2025)