Wenzhao Lian
Wenzhao Lian
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Zitiert von
Zitiert von
A Multitask Point Process Predictive Model
W Lian, R Henao, V Rao, J Lucas, L Carin
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015
Multichannel Electrophysiological Spike Sorting via Joint Dictionary Learning & Mixture Modeling
Q Wu, DE Carlson, W Lian, M Zhou, CR Stoetzner, D Kipke, D Weber, ...
Convex factorization machine for toxicogenomics prediction
M Yamada, W Lian, A Goyal, J Chen, K Wimalawarne, SA Khan, S Kaski, ...
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
Multivariate time-series analysis and diffusion maps
W Lian, R Talmon, H Zaveri, L Carin, R Coifman
Signal Processing 116, 13-28, 2015
Catgrasp: Learning category-level task-relevant grasping in clutter from simulation
B Wen, W Lian, K Bekris, S Schaal
2022 International Conference on Robotics and Automation (ICRA), 6401-6408, 2022
Learning dense rewards for contact-rich manipulation tasks
Z Wu, W Lian, V Unhelkar, M Tomizuka, S Schaal
2021 IEEE International Conference on Robotics and Automation (ICRA), 6214-6221, 2021
Integrating features and similarities: Flexible models for heterogeneous multiview data
W Lian, P Rai, E Salazar, L Carin
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
Robust multi-modal policies for industrial assembly via reinforcement learning and demonstrations: A large-scale study
J Luo, O Sushkov, R Pevceviciute, W Lian, C Su, M Vecerik, N Ye, ...
arXiv preprint arXiv:2103.11512, 2021
Modeling correlated arrival events with latent semi-markov processes
W Lian, V Rao, B Eriksson, L Carin
Proceedings of The 31st International Conference on Machine Learning. 2014., 2014
You only demonstrate once: Category-level manipulation from single visual demonstration
B Wen, W Lian, K Bekris, S Schaal
Robotics: Science and Systems (RSS), 2022
Interpreting contact interactions to overcome failure in robot assembly tasks
PA Zachares, MA Lee, W Lian, J Bohg
2021 IEEE International Conference on Robotics and Automation (ICRA), 3410-3417, 2021
Analysis of brain states from multi-region LFP time-series
KR Ulrich, DE Carlson, W Lian, JS Borg, K Dzirasa, L Carin
Advances in Neural Information Processing Systems 27, 2014
Benchmarking off-the-shelf solutions to robotic assembly tasks
W Lian, T Kelch, D Holz, A Norton, S Schaal
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
Robotic cable routing with spatial representation
S Jin, W Lian, C Wang, M Tomizuka, S Schaal
IEEE Robotics and Automation Letters 7 (2), 5687-5694, 2022
Convex factorization machine for regression
M Yamada, W Lian, A Goyal, J Chen, K Wimalawarne, SA Khan, S Kaski, ...
arXiv preprint arXiv:1507.01073, 2015
Symbolic State Estimation with Predicates for Contact-Rich Manipulation Tasks
T Migimatsu, W Lian, J Bohg, S Schaal
2022 International Conference on Robotics and Automation (ICRA), 1702-1709, 2022
Predictive models for point processes
W Lian
Duke University, 2015
A Bayesian framework for multi-modality analysis of mental health
E Salazar, Y Nikolova, W Lian, P Rai, AL Romer, AR Hariri, L Carin
submitted to Journal of the American Statistical Association (JASA), 0
Modeling Time Series and Sequences: Learning Representations and Making Predictions
W Lian
Duke University, 2015
Bayesian Multitask Distance Metric Learning
P Rai, W Lian, L Carin
NIPS 2014 Workshop on Transfer and Multitask Learning, 2014
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