Zijia Wang

12 papers A 1B 4Journal 5Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Potential Energy based Mixture Model for Noisy Label Learning. CoRR Zijia Wang, Wenbin Yang, Zhisong Liu, Zhen Jia
2024	J	`jnl`	StyleMamba : State Space Model for Efficient Text-driven Image Style Transfer. CoRR Zijia Wang, Zhi-Song Liu
2024	A	`conf`	StyleMamba: State Space Model for Efficient Text-Driven Image Style Transfer. ECAI Zijia Wang, Zhi-Song Liu
2024	J	`jnl`	Uncertainty-aware self-training with expectation maximization basis transformation. CoRR Zijia Wang, Wenbin Yang, Zhisong Liu, Zhen Jia
2023	B	`conf`	Arbitrary Point Cloud Upsampling Via Dual Back-Projection Network. ICIP Zhisong Liu, Zijia Wang, Zhen Jia
2023	J	`jnl`	Arbitrary point cloud upsampling via Dual Back-Projection Network. CoRR Zhisong Liu, Zijia Wang, Zhen Jia
2023	B	`conf`	Soft-IntroVAE for Continuous Latent Space Image Super-Resolution. ICIP Zhisong Liu, Zijia Wang, Zhen Jia
2023	J	`jnl`	Soft-IntroVAE for Continuous Latent space Image Super-Resolution. CoRR Zhisong Liu, Zijia Wang, Zhen Jia
2023	B	`conf`	The Oil and Water Separation Phenomenon Inspired Loss for Feature Learning. ICIP Zijia Wang, Wenbin Yang, Zhi-Song Liu, Jiacheng Ni, Qiang Chen, Zhen Jia
2022	B	`conf`	A Low-Rank Tensor Bayesian Filter Framework For Multi-Modal Analysis. ICIP Wenbin Yang, Zijia Wang, Jiacheng Ni, Qiang Chen, Zhen Jia
2022	—	`conf`	Gift from Nature: Potential Energy Minimization for Explainable Dataset Distillation. ACCV (Workshops) Zijia Wang, Wenbin Yang, Zhisong Liu, Qiang Chen, Jiacheng Ni, Zhen Jia
2022	—	`conf`	Object Centric Point Sets Feature Learning with Matrix Decomposition. ACCV (Workshops) Zijia Wang, Wenbin Yang, Zhisong Liu, Qiang Chen, Jiacheng Ni, Zhen Jia