Generalized Graph Convolutional Networks for Skeleton-based Action Recognition. - Xiang Gao 014; Wei Hu 003; Jiaxiang Tang; Pan Pan; Jiaying Liu 001; Zongming Guo (CoRR, 2018)

Optimized Skeleton-based Action Recognition via Sparsified Graph Regression. - Xiang Gao 014; Wei Hu 003; Jiaxiang Tang; Jiaying Liu 001; Zongming Guo (ACM Multimedia, 2019)

Exploring Graph Learning for Semi-Supervised Classification Beyond Euclidean Data. - Xiang Gao 014; Wei Hu 003; Zongming Guo (CoRR, 2019)

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

Joint Learning of Graph Representation and Node Features in Graph Convolutional Neural Networks. - Jiaxiang Tang; Wei Hu 003; Xiang Gao 014; Zongming Guo (CoRR, 2019)

GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-Wise Transformations. - Xiang Gao 014; Wei Hu 003; Guo-Jun Qi (CVPR, 2020)

Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised Classification. - Xiang Gao 014; Wei Hu 003; Zongming Guo (ICME, 2020)

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

Feature Graph Learning for 3D Point Cloud Denoising. - Wei Hu 003; Xiang Gao 014; Gene Cheung; Zongming Guo (IEEE Trans. Signal Process., 2020)

RGLN: Robust Residual Graph Learning Networks via Similarity-Preserving Mapping on Graphs. - Jiaxiang Tang; Xiang Gao 014; Wei Hu 003 (ICASSP, 2021)

Unsupervised Learning of Geometric Sampling Invariant Representations for 3D Point Clouds. - Haolan Chen; Shitong Luo; Xiang Gao 014; Wei Hu 003 (ICCVW, 2021)

Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning. - Bi'an Du; Xiang Gao 014; Wei Hu 003; Xin Li 005 (ACM Multimedia, 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)

Learning Latent Part-Whole Hierarchies for Point Clouds. - Xiang Gao 014; Wei Hu 003; Renjie Liao (CoRR, 2022)

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

Self-Supervised Graph Representation Learning via Topology Transformations. - Xiang Gao 014; Wei Hu 003; Guo-Jun Qi (IEEE Trans. Knowl. Data Eng., 2023)

Frequency-Controlled Diffusion Model for Versatile Text-Guided Image-to-Image Translation. - Xiang Gao 014; Zhengbo Xu; Junhan Zhao; Jiaying Liu 001 (AAAI, 2024)

InvariantOODG: Learning Invariant Features of Point Clouds for Out-of-Distribution Generalization. - Zhimin Zhang 008; Xiang Gao 014; Wei Hu 003 (ICASSP, 2024)

FBSDiff: Plug-and-Play Frequency Band Substitution of Diffusion Features for Highly Controllable Text-Driven Image Translation. - Xiang Gao 014; Jiaying Liu 001 (ACM Multimedia, 2024)

Generative 3D Part Assembly via Part-Whole-Hierarchy Message Passing. - Bi'an Du; Xiang Gao 014; Wei Hu 003; Renjie Liao (CoRR, 2024)

Self-supervised Multi-view Learning via Auto-encoding 3D Transformations. - Xiang Gao 014; Wei Hu 003; Guo-Jun Qi (ACM Trans. Multim. Comput. Commun. Appl., 2024)

PTDiffusion: Free Lunch for Generating Optical Illusion Hidden Pictures with Phase-Transferred Diffusion Model. - Xiang Gao 014; Shuai Yang 001; Jiaying Liu 001 (CVPR, 2025)