3D sunken relief generation from a single image by feature line enhancement. - Meili Wang; Liying Yang; Tingting Li; Shihui Guo; Jincen Jiang; Hongming Zhang 002; Jian Chang 001 (Multim. Tools Appl., 2019)

Unsupervised Representation Learning for 3D Point Cloud Data. - Jincen Jiang; Xuequan Lu; Wanli Ouyang; Meili Wang (CoRR, 2021)

Aero-Engine Remaining Useful Life Prediction via Tensor Decomposition Method. - Jincen Jiang; Xiting Wang; Zhongzhi Hu (CICAI (2), 2022)

Rethinking Point Cloud Filtering: A Non-Local Position Based Approach. - Jinxi Wang; Jincen Jiang; Xuequan Lu; Meili Wang (Comput. Aided Des., 2022)

DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning. - Jincen Jiang; Lizhi Zhao; Xuequan Lu; Wei Hu; Imran Razzak; Meili Wang (AAAI, 2024)

DG-PIC: Domain Generalized Point-In-Context Learning for Point Cloud Understanding. - Jincen Jiang; Qianyu Zhou 001; Yuhang Li; Xuequan Lu; Meili Wang; Lizhuang Ma; Jian Chang 001; Jian Jun Zhang 001 (ECCV (6), 2024)

Harmony Everything! Masked Autoencoders for Video Harmonization. - Yuhang Li; Jincen Jiang; Xiaosong Yang; Youdong Ding; Jian Jun Zhang 001 (ACM Multimedia, 2024)

PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud Understanding. - Jincen Jiang; Qianyu Zhou 001; Yuhang Li; Xinkui Zhao; Meili Wang; Lizhuang Ma; Jian Chang; Jian Jun Zhang; Xuequan Lu (NeurIPS, 2024)

Unsupervised contrastive learning with simple transformation for 3D point cloud data. - Jincen Jiang; Xuequan Lu; Wanli Ouyang; Meili Wang (Vis. Comput., 2024)

Masked Autoencoders in 3D Point Cloud Representation Learning. - Jincen Jiang; Xuequan Lu; Lizhi Zhao; Richard Dazeley; Meili Wang (IEEE Trans. Multim., 2025)