Traffic-Sign Detection and Classification in the Wild. - Zhe Zhu; Dun Liang; Song-Hai Zhang; Xiaolei Huang 001; Baoli Li 004; Shi-Min Hu 001 (CVPR, 2016)

Efficient and Flexible Deformation Representation for Data-Driven Surface Modeling. - Lin Gao 004; Yu-Kun Lai; Dun Liang; Shu-Yu Chen; Shihong Xia (ACM Trans. Graph., 2016)

Computing Stability of Products of Grassmannians with Fixed Total Dimension Using MAXIMA. - Dun Liang (BIC-TA, 2017)

LineNet: a Zoomable CNN for Crowdsourced High Definition Maps Modeling in Urban Environments. - Dun Liang; Yuanchen Guo; Shao-Kui Zhang; Song-Hai Zhang; Peter M. Hall; Min Zhang; Shi-Min Hu 001 (CoRR, 2018)

What and Where: A Context-based Recommendation System for Object Insertion. - Song-Hai Zhang; Zhengping Zhou; Bin Liu; Xin Dong; Dun Liang; Peter M. Hall; Shi-Min Hu 001 (CoRR, 2018)

Jittor: a novel deep learning framework with meta-operators and unified graph execution. - Shi-Min Hu 001; Dun Liang; Guo-Ye Yang; Guo-Wei Yang; Wen-Yang Zhou (Sci. China Inf. Sci., 2020)

Lane Detection: A Survey with New Results. - Dun Liang; Yuan-Chen Guo; Shao-Kui Zhang; Tai-Jiang Mu; Xiaolei Huang 001 (J. Comput. Sci. Technol., 2020)

Are we ready for a new paradigm shift? A Survey on Visual Deep MLP. - Ruiyang Liu; Yinghui Li; Linmi Tao; Dun Liang; Shi-Min Hu 001; Hai-Tao Zheng 002 (CoRR, 2021)

Can attention enable MLPs to catch up with CNNs? - Meng-Hao Guo; Zheng-Ning Liu; Tai-Jiang Mu; Dun Liang; Ralph R. Martin; Shi-Min Hu 001 (Comput. Vis. Media, 2021)

Are we ready for a new paradigm shift? A survey on visual deep MLP. - Ruiyang Liu; Yinghui Li; Linmi Tao; Dun Liang; Hai-Tao Zheng 002 (Patterns, 2022)

Jrender: An efficient differentiable rendering library based on Jittor. - Hanggao Xin; Chenzhong Xiang; Wenyang Zhou; Dun Liang (Graph. Model., 2023)

Recursive-NeRF: An Efficient and Dynamically Growing NeRF. - Guo-Wei Yang; Wen-Yang Zhou; Hao-Yang Peng; Dun Liang; Tai-Jiang Mu; Shi-Min Hu 001 (IEEE Trans. Vis. Comput. Graph., 2023)