3D Dynamic Point Cloud Denoising via Spatio-temporal Graph Modeling. - Qianjiang Hu; Zehua Wang; Wei Hu 003; Xiang Gao 014; Zongming Guo (CoRR, 2019)

3D Dynamic Point Cloud Denoising via Spatial-Temporal Graph Learning. - Wei Hu 003; Qianjiang Hu; Zehua Wang; Xiang Gao 014 (CoRR, 2020)

AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries. - Qianjiang Hu; Xiao Wang 004; Wei Hu 003; Guo-Jun Qi (CVPR, 2021)

Dynamic Point Cloud Denoising via Manifold-to-Manifold Distance. - Wei Hu 003; Qianjiang Hu; Zehua Wang; Xiang Gao 014 (IEEE Trans. Image Process., 2021)

Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks. - Qianjiang Hu; Daizong Liu; Wei Hu 003 (ECCV (3), 2022)

Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection. - Qianjiang Hu; Daizong Liu; Wei Hu 003 (CVPR, 2023)

Robust Graph-Based Segmentation of Noisy Point Clouds. - Pufan Li; Xiang Gao 014; Qianjiang Hu; Wei Hu 003 (ICIP, 2023)

RangeLDM: Fast Realistic LiDAR Point Cloud Generation. - Qianjiang Hu; Zhimin Zhang 008; Wei Hu 003 (ECCV (44), 2024)

Dynamic Point Cloud Denoising via Gradient Fields. - Qianjiang Hu; Wei Hu 003 (ACM Trans. Multim. Comput. Commun. Appl., 2025)