| 2025 | AISTATS | Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization. | Ziqing Xu, Hancheng Min, Lachlan Ewen MacDonald, Jinqi Luo, Salma Tarmoun, Enrique Mallada, Ren Vidal |
| 2025 | CVPR | Concept Lancet: Image Editing with Compositional Representation Transplant. | Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan, Hancheng Min, Chris Callison-Burch, Ren Vidal |
| 2025 | ICCV | Voyaging into Perpetual Dynamic Scenes from a Single View. | Fengrui Tian, Tianjiao Ding, Jinqi Luo, Hancheng Min, Ren Vidal |
| 2025 | ICML | Gradient Flow Provably Learns Robust Classifiers for Orthonormal GMMs. | Hancheng Min, Ren Vidal |
| 2024 | ICLR | Early Neuron Alignment in Two-layer ReLU Networks with Small Initialization. | Hancheng Min, Enrique Mallada, Ren Vidal |
| 2024 | ICML | Can Implicit Bias Imply Adversarial Robustness? | Hancheng Min, Ren Vidal |
| 2023 | ACSSC | Learning Safety Critics via a Non-Contractive Binary Bellman Operator. | Agustin Castellano, Hancheng Min, Juan Andrs Bazerque, Enrique Mallada |
| 2023 | AISTATS | Linear Convergence of Gradient Descent For Finite Width Over-parametrized Linear Networks With General Initialization. | Ziqing Xu, Hancheng Min, Salma Tarmoun, Enrique Mallada, Ren Vidal |
| 2023 | ICML | On the Convergence of Gradient Flow on Multi-layer Linear Models. | Hancheng Min, Ren Vidal, Enrique Mallada |
| 2021 | ICML | On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks. | Hancheng Min, Salma Tarmoun, Ren Vidal, Enrique Mallada |
| 2018 | ICRA | Voronoi-Based Coverage Control of Pan/Tilt/Zoom Camera Networks. | mr Arslan, Hancheng Min, Daniel E. Koditschek |