| 2025 | AISTATS | Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances. | Xuefeng Gao, Lingjiong Zhu |
| 2025 | IJCNN | Intriguing Differences Between Zero-Shot and Systematic Evaluations of Vision-Language Transformer Models. | Shaeke Salman, Montasir Shams, Xiuwen Liu, Lingjiong Zhu |
| 2024 | WSC | A New Approach to Sensitivity Analysis Based on Dirac Delta Family Methods. | Zhenyu Cui, Kailin Ding, Yanchu Liu, Lingjiong Zhu |
| 2023 | ALT | Algorithmic Stability of Heavy-Tailed Stochastic Gradient Descent on Least Squares. | Anant Raj, Melih Barsbey, Mert Grbzbalaban, Lingjiong Zhu, Umut Simsekli |
| 2023 | ICML | Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions. | Anant Raj, Lingjiong Zhu, Mert Grbzbalaban, Umut Simsekli |
| 2021 | ICML | Asymmetric Heavy Tails and Implicit Bias in Gaussian Noise Injections. | Alexander Camuto, Xiaoyu Wang, Lingjiong Zhu, Chris C. Holmes, Mert Grbzbalaban, Umut Simsekli |
| 2021 | ICML | The Heavy-Tail Phenomenon in SGD. | Mert Grbzbalaban, Umut Simsekli, Lingjiong Zhu |
| 2020 | ICML | Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noise. | Umut Simsekli, Lingjiong Zhu, Yee Whye Teh, Mert Grbzbalaban |
| 2019 | ICML | Accelerated Linear Convergence of Stochastic Momentum Methods in Wasserstein Distances. | Bugra Can, Mert Grbzbalaban, Lingjiong Zhu |