Tian Yu Liu

I am a PhD student at UCLA Vision Lab, advised by Prof. Stefano Soatto. My research interests lie in computer vision and machine learning. I also obtained my Bachelor of Science (Summa Cum Laude) from UCLA with a major in Computer Science and minor in Mathematics, where I worked with Prof. Baharan Mirzasoleiman and Prof. Alex Wong.

Google Scholar  /  Github  /  tianyu (at) cs (dot) ucla (dot) edu

Publications
Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding
Alessandro Achille, Greg Ver Steeg, Tian Yu Liu, Matthew Trager, Carson Klingenberg, Stefano Soatto
Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
[Paper]
Meaning Representations from Trajectories in Autoregressive Models
Tian Yu Liu, Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato, Stefano Soatto.
International Conference on Learning Representations (ICLR), 2024
[Paper][Code]
Tangent Transformers for Composition, Privacy and Removal
Tian Yu Liu, Aditya Golatkar, Stefano Soatto
International Conference on Learning Representations (ICLR), 2024
[Paper][Code]
Taming AI Bots: Controllability of Neural States in Large Language Models
Stefano Soatto, Paulo Tabuada, Pratik Chaudhari, Tian Yu Liu
arXiv, preprint.
[Paper]
Tangent Model Composition for Ensembling and Continual Fine-tuning
Tian Yu Liu and Stefano Soatto
International Conference on Computer Vision (ICCV), 2023.
[Paper] [Code]
Train/test-time adaptation with retrieval
Luca Zancato, Alessandro Achille, Tian Yu Liu, Matthew Trager, Pramuditha Perera, Stefano Soatto
Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
[Paper]
Integral Continual Learning along the Tangent Vector Field of Tasks
Tian Yu Liu, Aditya Golatkar, Alessandro Achille, Stefano Soatto
arXiv, preprint.
[Paper]
Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attacks
Tian Yu Liu, Yu Yang, Baharan Mirzasoleiman
Advances in Neural Information Processing Systems (NeurIPS), 2022.
[Paper] [Code]
Data-Efficient Augmentation for Training Neural Networks
Tian Yu Liu and Baharan Mirzasoleiman
Advances in Neural Information Processing Systems (NeurIPS), 2022.
[Paper] [Code]
Not All Poisons are Created Equal: Robust Training against Data Poisoning
Yu Yang, Tian Yu Liu, Baharan Mirzasoleiman
International Conference on Machine Learning (ICML), 2022. Oral.
[Paper] [Code]
Monitored Distillation for Positive Congruent Depth Completion
Tian Yu Liu, Parth Agrawal, Allison Chen, Byung-Woo Hong, Alex Wong
European Conference on Computer Vision (ECCV), 2022.
[Paper] [Code]
Stereoscopic Universal Perturbations across Different Architectures and Datasets
Zachary Berger, Parth Agrawal, Tian Yu Liu, Stefano Soatto, Alex Wong
Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
[Paper] [Code]

I stole this nice template from here.