Gift from Nature: Potential Energy Minimization for Explainable Dataset Distillation. - Zijia Wang 002; Wenbin Yang; Zhisong Liu; Qiang Chen; Jiacheng Ni; Zhen Jia (ACCV (Workshops), 2022)

Object Centric Point Sets Feature Learning with Matrix Decomposition. - Zijia Wang 002; Wenbin Yang; Zhisong Liu; Qiang Chen; Jiacheng Ni; Zhen Jia (ACCV (Workshops), 2022)

A Low-Rank Tensor Bayesian Filter Framework For Multi-Modal Analysis. - Wenbin Yang; Zijia Wang 002; Jiacheng Ni; Qiang Chen; Zhen Jia (ICIP, 2022)

Soft-IntroVAE for Continuous Latent Space Image Super-Resolution. - Zhisong Liu; Zijia Wang 002; Zhen Jia (ICIP, 2023)

Arbitrary Point Cloud Upsampling Via Dual Back-Projection Network. - Zhisong Liu; Zijia Wang 002; Zhen Jia (ICIP, 2023)

The Oil and Water Separation Phenomenon Inspired Loss for Feature Learning. - Zijia Wang 002; Wenbin Yang; Zhi-Song Liu; Jiacheng Ni; Qiang Chen; Zhen Jia (ICIP, 2023)

StyleMamba: State Space Model for Efficient Text-Driven Image Style Transfer. - Zijia Wang 002; Zhi-Song Liu (ECAI, 2024)

Uncertainty-aware self-training with expectation maximization basis transformation. - Zijia Wang 002; Wenbin Yang; Zhisong Liu; Zhen Jia (CoRR, 2024)

Potential Energy based Mixture Model for Noisy Label Learning. - Zijia Wang 002; Wenbin Yang; Zhisong Liu; Zhen Jia (CoRR, 2024)