| 2026 | ACL | 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 |
| 2025 | CW | Dual Fine-Tuning and Dual Alignment Training for Medical Language Models. | Junyu Lu, Zehua Chen |
| 2025 | ICASSP | Bridge-SR: Schrdinger Bridge for Efficient SR. | Chang Li, Zehua Chen, Fan Bao, Jun Zhu |
| 2025 | ICASSP | 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 |
| 2025 | ICASSP | DiffGAP: A Lightweight Diffusion Module in Contrastive Space for Bridging Cross-Model Gap. | Shentong Mo, Zehua Chen, Fan Bao, Jun Zhu |
| 2025 | ICML | FrameBridge: Improving Image-to-Video Generation with Bridge Models. | Yuji Wang, Zehua Chen, Xiaoyu Chen, Yixiang Wei, Jun Zhu, Jianfei Chen |
| 2024 | Interspeech | Whisper-PMFA: Partial Multi-Scale Feature Aggregation for Speaker Verification using Whisper Models. | Yiyang Zhao, Shuai Wang, Guangzhi Sun, Zehua Chen, Chao Zhang, Mingxing Xu, Thomas Fang Zheng |
| 2023 | ICML | 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 |
| 2022 | ICASSP | 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 |
| 2021 | ISSTA | Synthesize solving strategy for symbolic execution. | Zhenbang Chen, Zehua Chen, Ziqi Shuai, Guofeng Zhang, Weiyu Pan, Yufeng Zhang, Ji Wang |
| 2020 | IJCNN | A Probabilistic Beat-to-Beat Filtering Model for Continuous and Accurate Blood Pressure Estimation. | Zehua Chen, Bruno Scalzo Dees, Danilo P. Mandic |
| 2013 | GRC | Knowledge mining in big data - A lesson from algebraic geometry. | Jun Xie, Zehua Chen, Gang Xie, Tsau Young Lin |
| 2012 | GRC | Knowledge approximations and representations in binary granular computing. | Zehua Chen, Tsau-Young Lin, Gang Xie |
| 2011 | GRC | Matrix theory for Binary Granular Computing. | Zehua Chen, Tsau Young Lin, Gang Xie |
| 2010 | GRC | Matrix Theory for Tolerance Granular Computing. | Zehua Chen, Tsau Young Lin |
| 2010 | GRC | Isomorphism Between Information Tables for Tolerance and Classical Rough Sets. | Jun Meng, Tsauyoung Li, Zehua Chen, Xiukun Wang, Peng Wang |
| 2009 | GRC | Granular Matrix and redefined RST system. | Zehua Chen, Jun Xie, Xinying Xu, Keming Xie |
| 2008 | GRC | GrC Model in Genetic Algorithm: Artificial Selection Algorithm. | Zehua Chen, Gaowei Yan, Gang Xie, Keming Xie |
| 2005 | GRC | Application of a matrix-based binary granular computing algorithm in RST. | Zehua Chen, Gang Xie, Gaowei Yan, Keming Xie |
| 2005 | GRC | Study of BP neural network based on MECA. | Hongbo Guo, Gang Xie, Zehua Chen, Keming Xie |
| 2005 | ICNC | Clone Mind Evolution Algorithm. | Gang Xie, Xinying Xu, Keming Xie, Zehua Chen |
| 2005 | ISNN | Application of BP Network-Based Multi-sensor Fusion Techniques in Measurement of the Unburned Carbon in Fly Ash. | Gaowei Yan, Gang Xie, Keming Xie, Zehua Chen, Hongbing Wang |
| 2004 | SMC | The design and simulation of fuzzy controller based on rough sets theory. | Keming Xie, Zehua Chen, Gang Xie |