Tzu-Kuo Huang

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 17

Top Topics

Cost Sensitive Learning

Active Learning

Top Venues

Publications

Daniel Golovin, Gábor Bartók, Eric Chen, Emily Donahue, Tzu-Kuo Huang, Efi Kokiopoulou, Ruoyan Qin, Nikhil Sarda, Justin Sybrandt, Vincent Tjeng
SmartChoices: Augmenting Software with Learned Implementations. CoRR (2023)
Sai Yalamanchi, Tzu-Kuo Huang, Galen Clark Haynes, Nemanja Djuric
Long-term Prediction of Vehicle Behavior using Short-term Uncertainty-aware Trajectories and High-definition Maps. CoRR (2020)
Fang-Chieh Chou, Tsung-Han Lin, Henggang Cui, Vladan Radosavljevic, Thi Nguyen, Tzu-Kuo Huang, Matthew Niedoba, Jeff Schneider, Nemanja Djuric
Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets. IV (2020)
Sai Yalamanchi, Tzu-Kuo Huang, Galen Clark Haynes, Nemanja Djuric
Long-term Prediction of Vehicle Behavior using Short-term Uncertainty-aware Trajectories and High-definition Maps. ITSC (2020)
Fang-Chieh Chou, Tsung-Han Lin, Henggang Cui, Vladan Radosavljevic, Thi Nguyen, Tzu-Kuo Huang, Matthew Niedoba, Jeff Schneider, Nemanja Djuric
Predicting Motion of Vulnerable Road Users using High-Definition Maps and Efficient ConvNets. CoRR (2019)
Akshay Krishnamurthy, Alekh Agarwal, Tzu-Kuo Huang, Hal Daumé III, John Langford
Active Learning for Cost-Sensitive Classification. J. Mach. Learn. Res. 20 (2019)
Henggang Cui, Vladan Radosavljevic, Fang-Chieh Chou, Tsung-Han Lin, Thi Nguyen, Tzu-Kuo Huang, Jeff Schneider, Nemanja Djuric
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks. ICRA (2019)
Henggang Cui, Vladan Radosavljevic, Fang-Chieh Chou, Tsung-Han Lin, Thi Nguyen, Tzu-Kuo Huang, Jeff Schneider, Nemanja Djuric
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks. CoRR (2018)
Mathias Lécuyer, Riley Spahn, Roxana Geambasu, Tzu-Kuo Huang, Siddhartha Sen
Enhancing Selectivity in Big Data. IEEE Secur. Priv. 16 (1) (2018)
Akshay Krishnamurthy, Alekh Agarwal, Tzu-Kuo Huang, Hal Daumé III, John Langford
Active Learning for Cost-Sensitive Classification. ICML (2017)
Mathias Lécuyer, Riley Spahn, Roxana Geambasu, Tzu-Kuo Huang, Siddhartha Sen
Pyramid: Enhancing Selectivity in Big Data Protection with Count Featurization. IEEE Symposium on Security and Privacy (2017)
Mathias Lécuyer, Riley Spahn, Roxana Geambasu, Tzu-Kuo Huang, Siddhartha Sen
Pyramid: Enhancing Selectivity in Big Data Protection with Count Featurization. CoRR (2017)
Akshay Krishnamurthy, Alekh Agarwal, Tzu-Kuo Huang, Hal Daumé III, John Langford
Active Learning for Cost-Sensitive Classification. CoRR (2017)
Tzu-Kuo Huang, Lihong Li, Ara Vartanian, Saleema Amershi, Xiaojin Zhu
Active Learning with Oracle Epiphany. NIPS (2016)
Tzu-Kuo Huang, Alekh Agarwal, Daniel J. Hsu, John Langford, Robert E. Schapire
Efficient and Parsimonious Agnostic Active Learning. NIPS (2015)
Tzu-Kuo Huang, Alekh Agarwal, Daniel J. Hsu, John Langford, Robert E. Schapire
Efficient and Parsimonious Agnostic Active Learning. CoRR (2015)
Yifei Ma, Tzu-Kuo Huang, Jeff G. Schneider
Active Search and Bandits on Graphs using Sigma-Optimality. UAI (2015)
Xuezhi Wang, Tzu-Kuo Huang, Jeff G. Schneider
Active Transfer Learning under Model Shift. ICML (2014)
Tzu-Kuo Huang, Jeff G. Schneider
Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition. NIPS (2013)
Tzu-Kuo Huang, Jeff G. Schneider
Spectral Learning of Hidden Markov Models from Dynamic and Static Data. ICML (3) (2013)
Tzu-Kuo Huang, Jeff G. Schneider
Learning Bi-clustered Vector Autoregressive Models. ECML/PKDD (2) (2012)
Tzu-Kuo Huang, Jeff G. Schneider
Learning Auto-regressive Models from Sequence and Non-sequence Data. NIPS (2011)
Tzu-Kuo Huang, Le Song, Jeff G. Schneider
Learning Nonlinear Dynamic Models from Non-sequenced Data. AISTATS (2010)
Liang Xiong, Xi Chen, Tzu-Kuo Huang, Jeff G. Schneider, Jaime G. Carbonell
Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization. SDM (2010)
Tzu-Kuo Huang, Jeff G. Schneider
Learning linear dynamical systems without sequence information. ICML (2009)
Tzu-Kuo Huang, Chih-Jen Lin, Ruby C. Weng
Ranking individuals by group comparisons. ICML (2006)
Tzu-Kuo Huang, Ruby C. Weng, Chih-Jen Lin
Generalized Bradley-Terry Models and Multi-Class Probability Estimates. J. Mach. Learn. Res. 7 (2006)
Simon M. Lucas, Tzu-Kuo Huang
Sequence Recognition with Scanning N-Tuple Ensembles. ICPR (3) (2004)
Tzu-Kuo Huang, Chih-Jen Lin, Ruby C. Weng
A Generalized Bradley-Terry Model: From Group Competition to Individual Skill. NIPS (2004)