Resume
Academic Achievements
- GetMesh: A Controllable Model for High-quality Mesh Generation and Manipulation (arXiv preprint)
- SLIDE: Controllable Mesh Generation Through Sparse Latent Point Diffusion Models (CVPR 2023)
- A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion (ICLR 2022)
- MATLABER: Material-Aware Text-to-3D via LAtent BRDF auto-EncodeR (arXiv preprint)
- Accelerating Diffusion Models via Early Stop of the Diffusion Process (arXiv preprint)
- Generative Diffusion Prior for Unified Image Restoration and Enhancement (CVPR 2023, Equal Contribution)
- DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior (arXiv preprint)
- Point Cloud Pre-training with Diffusion Models (CVPR 2024)
- POPQORN: Quantifying Robustness of Recurrent Neural Networks (ICML 2019, Equal Contribution)
- Fastened CROWN: Tightened Neural Network Robustness Certificates (AAAI 2020)
- Towards Evaluating and Training Verifiably Robust Neural Networks (CVPR 2021)
- Guided Diffusion Model for Adversarial Purification (arXiv preprint, Equal Contribution)
Research Experience
- Working in a research group at Shanghai AI Laboratory, focusing on content generation and digitization.
Background
- A researcher at Shanghai AI Laboratory, focusing on 3D content generation, including 3D object and scene generation.
Miscellany
- Looking for highly motivated interns in 3D generative models.