Tian Yu Liu

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 25

Top Topics

Positively Correlated

Tumor Classification

Top Venues

Publications

Alessandro Achille, Greg Ver Steeg, Tian Yu Liu, Matthew Trager, Carson Klingenberg, Stefano Soatto
Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding. CoRR (2024)
Tian Yu Liu, Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato, Stefano Soatto
Meaning Representations from Trajectories in Autoregressive Models. ICLR (2024)
Tian Yu Liu, Aditya Golatkar, Stefano Soatto
Tangent Transformers for Composition, Privacy and Removal. ICLR (2024)
Tian Yu Liu, Stefano Soatto, Matteo Marchi, Pratik Chaudhari, Paulo Tabuada
Meanings and Feelings of Large Language Models: Observability of Latent States in Generative AI. CoRR (2024)
Luca Zancato, Alessandro Achille, Tian Yu Liu, Matthew Trager, Pramuditha Perera, Stefano Soatto
Train/Test-Time Adaptation with Retrieval. CoRR (2023)
Tian Yu Liu, Stefano Soatto
Tangent Model Composition for Ensembling and Continual Fine-tuning. CoRR (2023)
Tian Yu Liu, Stefano Soatto
Tangent Model Composition for Ensembling and Continual Fine-tuning. ICCV (2023)
Tian Yu Liu, Aditya Golatkar, Stefano Soatto
Tangent Transformers for Composition, Privacy and Removal. CoRR (2023)
Tian Yu Liu, Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato, Stefano Soatto
Meaning Representations from Trajectories in Autoregressive Models. CoRR (2023)
Stefano Soatto, Paulo Tabuada, Pratik Chaudhari, Tian Yu Liu
Taming AI Bots: Controllability of Neural States in Large Language Models. CoRR (2023)
Dong Lao, Yangchao Wu, Tian Yu Liu, Alex Wong, Stefano Soatto
Sub-token ViT Embedding via Stochastic Resonance Transformers. CoRR (2023)
Yangchao Wu, Tian Yu Liu, Hyoungseob Park, Stefano Soatto, Dong Lao, Alex Wong
AugUndo: Scaling Up Augmentations for Unsupervised Depth Completion. CoRR (2023)
Luca Zancato, Alessandro Achille, Tian Yu Liu, Matthew Trager, Pramuditha Perera, Stefano Soatto
Train/Test-Time Adaptation with Retrieval. CVPR (2023)
Tian Yu Liu, Parth Agrawal, Allison Chen, Byung-Woo Hong, Alex Wong
Monitored Distillation for Positive Congruent Depth Completion. ECCV (2) (2022)
Zachary Berger, Parth Agrawal, Tian Yu Liu, Stefano Soatto, Alex Wong
Stereoscopic Universal Perturbations across Different Architectures and Datasets. CVPR (2022)
Tian Yu Liu, Baharan Mirzasoleiman
Data-Efficient Augmentation for Training Neural Networks. CoRR (2022)
Tian Yu Liu, Yu Yang, Baharan Mirzasoleiman
Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attack. NeurIPS (2022)
Tian Yu Liu, Yu Yang, Baharan Mirzasoleiman
Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attacks. CoRR (2022)
Yu Yang, Tian Yu Liu, Baharan Mirzasoleiman
Not All Poisons are Created Equal: Robust Training against Data Poisoning. CoRR (2022)
Tian Yu Liu, Baharan Mirzasoleiman
Data-Efficient Augmentation for Training Neural Networks. NeurIPS (2022)
Yu Yang, Tian Yu Liu, Baharan Mirzasoleiman
Not All Poisons are Created Equal: Robust Training against Data Poisoning. ICML (2022)
Tian Yu Liu, Aditya Golatkar, Stefano Soatto, Alessandro Achille
Integral Continual Learning Along the Tangent Vector Field of Tasks. CoRR (2022)
Tian Yu Liu, Parth Agrawal, Allison Chen, Byung-Woo Hong, Alex Wong
Monitored Distillation for Positive Congruent Depth Completion. CoRR (2022)
Tian Yu Liu, Jiashi Feng
Triplet Contrastive Learning for Brain Tumor Classification. CoRR (2021)
Zachary Berger, Parth Agrawal, Tian Yu Liu, Stefano Soatto, Alex Wong
Stereoscopic Universal Perturbations across Different Architectures and Datasets. CoRR (2021)
Debadeepta Dey, Tian Yu Liu, Martial Hebert, J. Andrew Bagnell
Contextual Sequence Prediction with Application to Control Library Optimization. Robotics: Science and Systems (2012)
Debadeepta Dey, Tian Yu Liu, Boris Sofman, James Andrew Bagnell
Efficient Optimization of Control Libraries. AAAI (2012)
Debadeepta Dey, Tian Yu Liu, Martial Hebert, J. Andrew Bagnell
Predicting Contextual Sequences via Submodular Function Maximization CoRR (2012)
J. Andrew Bagnell, Felipe Cavalcanti, Lei Cui, Thomas Galluzzo, Martial Hebert, Moslem Kazemi, Matthew Klingensmith, Jacqueline Libby, Tian Yu Liu, Nancy S. Pollard, Mihail Pivtoraiko, Jean-Sebastien Valois, Ranqi Zhu
An integrated system for autonomous robotics manipulation. IROS (2012)