Efficient Optimization of Control Libraries. - Debadeepta Dey; Tian Yu Liu; Boris Sofman; James Andrew Bagnell (AAAI, 2012)

An integrated system for autonomous robotics manipulation. - J. Andrew Bagnell; Felipe Cavalcanti; Lei Cui 005; Thomas Galluzzo; Martial Hebert; Moslem Kazemi; Matthew Klingensmith; Jacqueline Libby; Tian Yu Liu; Nancy S. Pollard; Mihail Pivtoraiko; Jean-Sebastien Valois; et al. (IROS, 2012)

Contextual Sequence Prediction with Application to Control Library Optimization. - Debadeepta Dey; Tian Yu Liu; Martial Hebert; J. Andrew Bagnell (Robotics: Science and Systems, 2012)

Predicting Contextual Sequences via Submodular Function Maximization - Debadeepta Dey; Tian Yu Liu; Martial Hebert; J. Andrew Bagnell (CoRR, 2012)

Triplet Contrastive Learning for Brain Tumor Classification. - Tian Yu Liu; Jiashi Feng (CoRR, 2021)

Stereoscopic Universal Perturbations across Different Architectures and Datasets. - Zachary Berger; Parth Agrawal; Tian Yu Liu; Stefano Soatto; Alex Wong 001 (CVPR, 2022)

Monitored Distillation for Positive Congruent Depth Completion. - Tian Yu Liu; Parth Agrawal; Allison Chen; Byung-Woo Hong; Alex Wong 001 (ECCV (2), 2022)

Not All Poisons are Created Equal: Robust Training against Data Poisoning. - Yu Yang 007; Tian Yu Liu; Baharan Mirzasoleiman (ICML, 2022)

Data-Efficient Augmentation for Training Neural Networks. - Tian Yu Liu; Baharan Mirzasoleiman (NeurIPS, 2022)

Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attack. - Tian Yu Liu; Yu Yang 007; Baharan Mirzasoleiman (NeurIPS, 2022)

Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attacks. - Tian Yu Liu; Yu Yang 007; Baharan Mirzasoleiman (CoRR, 2022)

Integral Continual Learning Along the Tangent Vector Field of Tasks. - Tian Yu Liu; Aditya Golatkar; Stefano Soatto; Alessandro Achille (CoRR, 2022)

Train/Test-Time Adaptation with Retrieval. - Luca Zancato; Alessandro Achille; Tian Yu Liu; Matthew Trager; Pramuditha Perera; Stefano Soatto (CVPR, 2023)

Tangent Model Composition for Ensembling and Continual Fine-tuning. - Tian Yu Liu; Stefano Soatto (ICCV, 2023)

Taming AI Bots: Controllability of Neural States in Large Language Models. - Stefano Soatto; Paulo Tabuada; Pratik Chaudhari; Tian Yu Liu (CoRR, 2023)

AugUndo: Scaling Up Augmentations for Unsupervised Depth Completion. - Yangchao Wu; Tian Yu Liu; Hyoungseob Park; Stefano Soatto; Dong Lao; Alex Wong 001 (CoRR, 2023)

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 (CVPR, 2024)

AugUndo: Scaling Up Augmentations for Monocular Depth Completion and Estimation. - Yangchao Wu; Tian Yu Liu; Hyoungseob Park; Stefano Soatto; Dong Lao; Alex Wong 001 (ECCV (64), 2024)

Tangent Transformers for Composition, Privacy and Removal. - Tian Yu Liu; Aditya Golatkar; Stefano Soatto (ICLR, 2024)

Meaning Representations from Trajectories in Autoregressive Models. - Tian Yu Liu; Matthew Trager; Alessandro Achille; Pramuditha Perera; Luca Zancato; Stefano Soatto (ICLR, 2024)

Sub-token ViT Embedding via Stochastic Resonance Transformers. - Dong Lao; Yangchao Wu; Tian Yu Liu; Alex Wong 001; Stefano Soatto (ICML, 2024)

Meanings and Feelings of Large Language Models: Observability of Latent States in Generative AI. - Tian Yu Liu; Stefano Soatto; Matteo Marchi; Pratik Chaudhari; Paulo Tabuada (CoRR, 2024)

Conjuring Semantic Similarity. - Tian Yu Liu; Stefano Soatto (CoRR, 2024)

PICASO: Permutation-Invariant Context Composition with State Space Models. - Tian Yu Liu; Alessandro Achille; Matthew Trager; Aditya Golatkar; Luca Zancato; Stefano Soatto (ICLR, 2025)

Observability of Latent States in Generative AI Models. - Tian Yu Liu; Stefano Soatto; Matteo Marchi; Pratik Chaudhari; Paulo Tabuada (NeuS, 2025)

Geometric and Compositional Semantic Structures in Deep Representations - Tian Yu Liu (2025)

Maximally-Informative Retrieval for State Space Model Generation. - Evan Becker; Benjamin Bowman; Matthew Trager; Tian Yu Liu; Luca Zancato; Wei Xia; Stefano Soatto (CoRR, 2025)