Zehua Chen

According to our database, Zehua Chen authored at least 17 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Omni2Sound: Towards Unified Video-Text-to-Audio Generation.

Yusheng Dai, Zehua Chen, Yuxuan Jiang, Baolong Gao, Qiuhong Ke, Jun Zhu, Jianfei Cai

CoRR, January, 2026

2025

RefineBridge: Generative Bridge Models Improve Financial Forecasting by Foundation Models.

Anthony Bolton, Wuyang Zhou, Zehua Chen, Giorgos Iacovides, Danilo P. Mandic

CoRR, December, 2025

ControlAudio: Tackling Text-Guided, Timing-Indicated and Intelligible Audio Generation via Progressive Diffusion Modeling.

Yuxuan Jiang, Zehua Chen, Zeqian Ju, Yusheng Dai, Weibei Dou, Jun Zhu

CoRR, October, 2025

VoiceBridge: Designing Latent Bridge Models for General Speech Restoration at Scale.

Chi Zhang, Zehua Chen, Kaiwen Zheng, Jun Zhu

CoRR, September, 2025

Versatile Cardiovascular Signal Generation with a Unified Diffusion Transformer.

Zehua Chen, Yuyang Miao, Liyuan Wang, Luyun Fan, Danilo P. Mandic, Jun Zhu

CoRR, May, 2025

FreeAudio: Training-Free Timing Planning for Controllable Long-Form Text-to-Audio Generation.

Yuxuan Jiang, Zehua Chen, Zeqian Ju, Chang Li, Weibei Dou, Jun Zhu

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

FrameBridge: Improving Image-to-Video Generation with Bridge Models.

Yuji Wang, Zehua Chen, Xiaoyu Chen, Yixiang Wei, Jun Zhu, Jianfei Chen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

RespDiff: An End-to-End Multi-scale RNN Diffusion Model for Respiratory Waveform Estimation from PPG Signals.

Yuyang Miao, Zehua Chen, Chang Li, Danilo P. Mandic

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

FrameBridge: Improving Image-to-Video Generation with Bridge Models.

Yuji Wang, Zehua Chen, Xiaoyu Chen, Jun Zhu, Jianfei Chen

CoRR, 2024

TiVA: Time-Aligned Video-to-Audio Generation.

Xihua Wang, Yuyue Wang, Yihan Wu, Ruihua Song, Xu Tan, Zehua Chen, Hongteng Xu, Guodong Sui

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis.

Zehua Chen, Guande He, Kaiwen Zheng, Xu Tan, Jun Zhu

CoRR, 2023

Improving Diffusion Models for ECG Imputation with an Augmented Template Prior.

Alexander Jenkins, Zehua Chen, Fu Siong Ng, Danilo P. Mandic

CoRR, 2023

AudioLDM: Text-to-Audio Generation with Latent Diffusion Models.

Haohe Liu, Zehua Chen, Yi Yuan, Xinhao Mei, Xubo Liu, Danilo P. Mandic, Wenwu Wang, Mark D. Plumbley

Proceedings of the International Conference on Machine Learning, 2023

2022

ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech.

Zehua Chen, Yihan Wu, Yichong Leng, Jiawei Chen, Haohe Liu, Xu Tan, Yang Cui, Ke Wang, Lei He, Sheng Zhao, Jiang Bian, Danilo P. Mandic

CoRR, 2022

BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis.

Yichong Leng, Zehua Chen, Junliang Guo, Haohe Liu, Jiawei Chen, Xu Tan, Danilo P. Mandic, Lei He, Xiangyang Li, Tao Qin, Sheng Zhao, Tie-Yan Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Infergrad: Improving Diffusion Models for Vocoder by Considering Inference in Training.

Zehua Chen, Xu Tan, Ke Wang, Shifeng Pan, Danilo P. Mandic, Lei He, Sheng Zhao

Proceedings of the IEEE International Conference on Acoustics, 2022

2020

A Probabilistic Beat-to-Beat Filtering Model for Continuous and Accurate Blood Pressure Estimation.

Zehua Chen, Bruno Scalzo Dees, Danilo P. Mandic

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020