| 2025 | ICASSP | Textual and Visual Prompt Fusion for Image Editing via Step-Wise Alignment. | Zhanbo Feng, Zenan Ling, Xinyu Lu, Ci Gong, Feng Zhou, Wugedele Bao, Jie Li, Fan Yang, Robert C. Qiu |
| 2025 | ICML | Fundamental Bias in Inverting Random Sampling Matrices with Application to Sub-sampled Newton. | Chengmei Niu, Zhenyu Liao, Zenan Ling, Michael W. Mahoney |
| 2024 | AAAI | Mitigating Label Bias in Machine Learning: Fairness through Confident Learning. | Yixuan Zhang, Boyu Li, Zenan Ling, Feng Zhou |
| 2024 | GLOBECOM | R-NeRF: Neural Radiance Fields for Modeling RIS-enabled Wireless Environments. | Huiying Yang, Zihan Jin, Chenhao Wu, Rujing Xiong, Robert Caiming Qiu, Zenan Ling |
| 2024 | ICML | Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures. | Zenan Ling, Longbo Li, Zhanbo Feng, Yixuan Zhang, Feng Zhou, Robert C. Qiu, Zhenyu Liao |
| 2023 | AISTATS | Global Convergence of Over-parameterized Deep Equilibrium Models. | Zenan Ling, Xingyu Xie, Qiuhao Wang, Zongpeng Zhang, Zhouchen Lin |
| 2023 | IJCNN | Gradient Descent Optimizes Normalization-Free ResNets. | Zongpeng Zhang, Zenan Ling, Tong Lin, Zhouchen Lin |
| 2022 | AISTATS | Exploring Image Regions Not Well Encoded by an INN. | Zenan Ling, Fan Zhou, Meng Wei, Quanshi Zhang |