| 2019 | ICRA | Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks. | Henggang Cui, Vladan Radosavljevic, Fang-Chieh Chou, Tsung-Han Lin, Thi Nguyen, Tzu-Kuo Huang, Jeff Schneider, Nemanja Djuric |
| 2017 | ICML | Active Learning for Cost-Sensitive Classification. | Akshay Krishnamurthy, Alekh Agarwal, Tzu-Kuo Huang, Hal Daum III, John Langford |
| 2017 | SP | Pyramid: Enhancing Selectivity in Big Data Protection with Count Featurization. | Mathias Lcuyer, Riley Spahn, Roxana Geambasu, Tzu-Kuo Huang, Siddhartha Sen |
| 2015 | UAI | Active Search and Bandits on Graphs using Sigma-Optimality. | Yifei Ma, Tzu-Kuo Huang, Jeff G. Schneider |
| 2014 | ICML | Active Transfer Learning under Model Shift. | Xuezhi Wang, Tzu-Kuo Huang, Jeff G. Schneider |
| 2013 | ICML | Spectral Learning of Hidden Markov Models from Dynamic and Static Data. | Tzu-Kuo Huang, Jeff G. Schneider |
| 2010 | SDM | Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization. | Liang Xiong, Xi Chen, Tzu-Kuo Huang, Jeff G. Schneider, Jaime G. Carbonell |
| 2009 | ICML | Learning linear dynamical systems without sequence information. | Tzu-Kuo Huang, Jeff G. Schneider |
| 2006 | ICML | Ranking individuals by group comparisons. | Tzu-Kuo Huang, Chih-Jen Lin, Ruby C. Weng |
| 2004 | ICPR | Sequence Recognition with Scanning N-Tuple Ensembles. | Simon M. Lucas, Tzu-Kuo Huang |