Cheng Li
Title
Cited by
Cited by
Year
Rapid Bayesian Optimisation for Synthesis of Short Polymer Fiber Materials
C Li, D Leal Rubin De Celis, S Rana, S Gupta, A Sutti, S Greenhill, ...
scientific report, 2017
642017
High Dimensional Bayesian Optimization Using Dropout
C Li, S Gupta, S Rana, V Nugyen, S Venkatesh, A Shilton
International Joint Conference on Artificial Intelligence (IJCAI), 2017
632017
High Dimensional Bayesian optimization with Elastic Gaussian process
S Rana, C Li, S Gupta, V Nguyen, S Venkatesh
International Conference Machine Learning (ICML), 2017
542017
Regret for expected improvement over the best-observed value and stopping condition
V Nguyen, S Gupta, S Rana, C Li, S Venkatesh
Asian Conference on Machine Learning, 279-294, 2017
282017
Budgeted batch Bayesian optimization
V Nguyen, S Rana, SK Gupta, C Li, S Venkatesh
2016 IEEE 16th International Conference on Data Mining (ICDM), 1107-1112, 2016
242016
A Bayesian nonparametric approach for multi-label classification
V Nguyen, S Gupta, S Rana, C Li, S Venkatesh
Asian conference on machine learning, 254-269, 2016
142016
Filtering Bayesian optimization approach in weakly specified search space
V Nguyen, S Gupta, S Rana, C Li, S Venkatesh
Knowledge and Information Systems 60 (1), 385-413, 2019
132019
Accelerating Experimental Design by Incorporating Experimenter Hunches
C Li, S Rana, S Gupta, V Nguyen, S Venkatesh, A Sutti, D Rubin, T Slezak, ...
IEEE International Conference on Data Mining (ICDM), 2018
132018
Bayesian optimization in weakly specified search space
V Nguyen, S Gupta, S Rane, C Li, S Venkatesh
2017 IEEE International Conference on Data Mining (ICDM), 347-356, 2017
122017
Hierarchical Bayesian nonparametric models for knowledge discovery from electronic medical records
C Li, S Rana, D Phung, S Venkatesh
Knowledge-Based Systems 99, 168-182, 2016
122016
Hierarchically fair federated learning
J Zhang, C Li, A Robles-Kelly, M Kankanhalli
arXiv preprint arXiv:2004.10386, 2020
82020
Exploiting side information in distance dependent chinese restaurant processes for data clustering
C Li, D Phung, S Rana, S Venkatesh
2013 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2013
82013
Data clustering using side information dependent Chinese restaurant processes
C Li, S Rana, D Phung, S Venkatesh
Knowledge and information systems 47 (2), 463-488, 2016
72016
Think Globally, Act Locally: a Local Strategy for Bayesian Optimization
V Nguyen, S Gupta, S Rana, C Li, S Venkatesh
Neural Information Processing Systems (NIPS) Workshop on Bayesian Optimization, 2016
62016
Optimizing a high-entropy system: software-assisted development of highly hydrophobic surfaces using an amphiphilic polymer
S Subianto, C Li, D Rubin de Celis Leal, S Rana, S Gupta, R He, ...
ACS omega 4 (14), 15912-15922, 2019
42019
Explaining Black-box Machine Learning models via Interpretable Surrogates
D Kuttichira, S Gupta, C Li, S Rana, S Venkatesh
Pacific Rim International Conference on Artificial Intelligence, 2019
42019
Bayesian Optimization with Monotonicity Information
C Li, S Rana, S Gupta, N Vu, V Svetha.
NIPS Workshop on Bayesian Optimization 2017, 2017
42017
Budgeted batch bayesian optimization with unknown batch sizes
V Nguyen, S Rana, S Gupta, C Li, S Venkatesh
arXiv preprint arXiv:1703.04842, 2017
42017
Predictive variance reduction search
V Nguyen, S Gupta, S Rana, C Li, S Venkatesh
Neural Information Processing Systems (NIPS) Workshop on Bayesian …, 2017
42017
Efficient Bayesian Optimisation Using Derivative Meta-model
A Yang, C Li, S Rana, S Gupta, V Svetha
Pacific Rim International Conference on Artificial Intelligence, 2018
32018
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