Novel traffic signal timing adjustment strategy based on Genetic Algorithm. - Hsiao-Yu Tung; Wei-Chiu Ma; Tian-Li Yu 001 (IEEE Congress on Evolutionary Computation, 2014)

Spectral Methods for Indian Buffet Process Inference. - Hsiao-Yu Fish Tung; Alexander J. Smola (NIPS, 2014)

Effective string processing and matching for author disambiguation. - Wei-Sheng Chin; Yong Zhuang; Yu-Chin Juan; Felix Wu; Hsiao-Yu Tung; Tong Yu 001; Jui-Pin Wang; Cheng-Xia Chang; Chun-Pai Yang; Wei-Cheng Chang; Kuan-Hao Huang; Tzu-Ming Kuo; et al. (J. Mach. Learn. Res., 2014)

Fast and Guaranteed Tensor Decomposition via Sketching. - Yining Wang; Hsiao-Yu Fish Tung; Alexander J. Smola; Anima Anandkumar (NIPS, 2015)

Combination of feature engineering and ranking models for paper-author identification in KDD cup 2013. - Chun-Liang Li; Yu-Chuan Su; Ting-Wei Lin; Cheng-Hao Tsai; Wei-Cheng Chang; Kuan-Hao Huang; Tzu-Ming Kuo; Shan-Wei Lin; Young-San Lin; Yu-Chen Lu; Chun-Pai Yang; Cheng-Xia Chang; et al. (J. Mach. Learn. Res., 2015)

Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and Image-to-Image Translation from Unpaired Supervision. - Hsiao-Yu Fish Tung; Adam W. Harley; William Seto; Katerina Fragkiadaki (ICCV, 2017)

Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy. - Danica J. Sutherland; Hsiao-Yu Tung; Heiko Strathmann; Soumyajit De; Aaditya Ramdas; Alexander J. Smola; Arthur Gretton (ICLR (Poster), 2017)

Self-supervised Learning of Motion Capture. - Hsiao-Yu Tung; Hsiao-Wei Tung; Ersin Yumer; Katerina Fragkiadaki (NIPS, 2017)

Spectral Methods for Nonparametric Models. - Hsiao-Yu Fish Tung; Chao-Yuan Wu; Manzil Zaheer; Alexander J. Smola (CoRR, 2017)

Reward Learning From Narrated Demonstrations. - Hsiao-Yu Tung; Adam W. Harley; Liang-Kang Huang; Katerina Fragkiadaki (CVPR, 2018)

Learning Spatial Common Sense With Geometry-Aware Recurrent Networks. - Hsiao-Yu Fish Tung; Ricson Cheng; Katerina Fragkiadaki (CVPR, 2019)

Embodied View-Contrastive 3D Feature Learning. - Adam W. Harley; Fangyu Li; Shrinidhi Kowshika Lakshmikanth; Xian Zhou; Hsiao-Yu Fish Tung; Katerina Fragkiadaki (CoRR, 2019)

Embodied Language Grounding with Implicit 3D Visual Feature Representations. - Mihir Prabhudesai; Hsiao-Yu Fish Tung; Syed Ashar Javed; Maximilian Sieb; Adam W. Harley; Katerina Fragkiadaki (CoRR, 2019)

3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators. - Hsiao-Yu Tung; Zhou Xian; Mihir Prabhudesai; Shamit Lal; Katerina Fragkiadaki (CoRL, 2020)

3DQ-Nets: Visual Concepts Emerge in Pose Equivariant 3D Quantized Neural Scene Representations. - Mihir Prabhudesai; Shamit Lal; Hsiao-Yu Fish Tung; Adam W. Harley; Shubhankar Potdar; Katerina Fragkiadaki (CVPR Workshops, 2020)

Embodied Language Grounding With 3D Visual Feature Representations. - Mihir Prabhudesai; Hsiao-Yu Fish Tung; Syed Ashar Javed; Maximilian Sieb; Adam W. Harley; Katerina Fragkiadaki (CVPR, 2020)

Learning from Unlabelled Videos Using Contrastive Predictive Neural 3D Mapping. - Adam W. Harley; Shrinidhi Kowshika Lakshmikanth; Fangyu Li; Xian Zhou; Hsiao-Yu Fish Tung; Katerina Fragkiadaki (ICLR, 2020)

3D Object Recognition By Corresponding and Quantizing Neural 3D Scene Representations. - Mihir Prabhudesai; Shamit Lal; Hsiao-Yu Fish Tung; Adam W. Harley; Shubhankar Potdar; Katerina Fragkiadaki (CoRR, 2020)

3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators. - Hsiao-Yu Fish Tung; Xian Zhou; Mihir Prabhudesai; Shamit Lal; Katerina Fragkiadaki (CoRR, 2020)

Visually-Grounded Library of Behaviors for Manipulating Diverse Objects across Diverse Configurations and Views. - Jingyun Yang; Hsiao-Yu Tung; Yunchu Zhang; Gaurav Pathak; Ashwini Pokle; Christopher G. Atkeson; Katerina Fragkiadaki (CoRL, 2021)

Disentangling 3D Prototypical Networks for Few-Shot Concept Learning. - Mihir Prabhudesai; Shamit Lal; Darshan Patil; Hsiao-Yu Tung; Adam W. Harley; Katerina Fragkiadaki (ICLR, 2021)

HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks. - Zhou Xian; Shamit Lal; Hsiao-Yu Tung; Emmanouil Antonios Platanios; Katerina Fragkiadaki (ICLR, 2021)

Physion: Evaluating Physical Prediction from Vision in Humans and Machines. - Daniel Bear; Elias Wang; Damian Mrowca; Felix J. Binder; Hsiao-Yu Tung; R. T. Pramod; Cameron Holdaway; Sirui Tao; Kevin A. Smith 001; Fan-Yun Sun; Fei-Fei Li 001; Nancy Kanwisher; et al. (NeurIPS Datasets and Benchmarks, 2021)

Learning to See by Moving: Self-supervising 3D Scene Representations for Perception, Control, and Visual Reasoning. - Hsiao-Yu Fish Tung (2022)

FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation. - Zhou Xian; Bo Zhu; Zhenjia Xu; Hsiao-Yu Tung; Antonio Torralba 001; Katerina Fragkiadaki; Chuang Gan 001 (ICLR, 2023)

H-SAUR: Hypothesize, Simulate, Act, Update, and Repeat for Understanding Object Articulations from Interactions. - Kei Ota; Hsiao-Yu Tung; Kevin A. Smith 001; Anoop Cherian; Tim K. Marks; Alan Sullivan; Asako Kanezaki; Joshua B. Tenenbaum (ICRA, 2023)

Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties. - Hsiao-Yu Tung; Mingyu Ding; Zhenfang Chen; Daniel Bear; Chuang Gan 001; Josh Tenenbaum 001; Dan Yamins; Judith E. Fan; Kevin A. Smith 001 (NeurIPS, 2023)

3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes. - Haotian Xue; Antonio Torralba 001; Josh Tenenbaum 001; Dan Yamins; Yunzhu Li; Hsiao-Yu Tung (NeurIPS, 2023)

Tactile-Filter: Interactive Tactile Perception for Part Mating. - Kei Ota; Devesh K. Jha; Hsiao-Yu Tung; Joshua B. Tenenbaum (Robotics: Science and Systems, 2023)

3D View Prediction Models of the Dorsal Visual Stream. - Gabriel Sarch; Hsiao-Yu Fish Tung; Aria Y. Wang; Jacob S. Prince; Michael J. Tarr (CoRR, 2023)