Multiple-Task Learning and Knowledge Transfer Using Generative Adversarial Capsule Nets. - Ancheng Lin; Jun Li 010; Lujuan Zhang; Zhenyuan Ma; Weiqi Luo 002 (Australasian Conference on Artificial Intelligence, 2018)

A New Family of Generative Adversarial Nets Using Heterogeneous Noise to Model Complex Distributions. - Ancheng Lin; Jun Li 010; Lujuan Zhang; Lei Shi; Zhenyuan Ma (Australasian Conference on Artificial Intelligence, 2018)

On Learning and Learned Representation with Dynamic Routing in Capsule Networks. - Ancheng Lin; Jun Li 010; Zhenyuan Ma (CoRR, 2018)

On Learning and Learned Data Representation by Capsule Networks. - Ancheng Lin; Jun Li 010; Zhenyuan Ma (IEEE Access, 2019)

Normal Transformer: Extracting Surface Geometry from LiDAR Points Enhanced by Visual Semantics. - Ancheng Lin; Jun Li (CoRR, 2022)

Dynamic Appearance Particle Neural Radiance Field. - Ancheng Lin; Jun Li (CoRR, 2023)

Direct Learning of Mesh and Appearance via 3D Gaussian Splatting. - Ancheng Lin; Jun Li 010 (CoRR, 2024)

Normal Transformer: Extracting Surface Geometry From LiDAR Points Enhanced by Visual Semantics. - Ancheng Lin; Jun Li 010; Yusheng Xiang; Wei Bian; Mukesh Prasad (IEEE Trans. Intell. Veh., 2024)

Dynamic Appearance Particle Neural Radiance Field. - Ancheng Lin; Yusheng Xiang; Jun Li 010; Mukesh Prasad (IEEE Trans. Circuits Syst. Video Technol., 2025)