Cheng Li - RankMe

32 papers A* 6A 2B 5C 2Journal 12Unranked 5

Year	Rank	Type	Title / Venue / Authors
2021	—	`conf`	Sparse Spectrum Gaussian Process for Bayesian Optimization. PAKDD (2) Ang Yang, Cheng Li, Santu Rana, Sunil Gupta, Svetha Venkatesh
2020	A	`conf`	Accelerated Bayesian Optimisation through Weight-Prior Tuning. AISTATS Alistair Shilton, Sunil Gupta, Santu Rana, Pratibha Vellanki, Cheng Li, Svetha Venkatesh, Laurence Park, Alessandra Sutti, David Rubin, Thomas Dorin, Alireza Vahid, Murray Height, Teo Slezak
2020	B	`conf`	Factor Screening using Bayesian Active Learning and Gaussian Process Meta-Modelling. ICPR Cheng Li, Santu Rana, Andrew Gill, Dang Nguyen, Sunil Gupta, Svetha Venkatesh
2020	J	`jnl`	Hierarchically Fair Federated Learning. CoRR Jingfeng Zhang, Cheng Li, Antonio Robles-Kelly, Mohan S. Kankanhalli
2020	J	`jnl`	Incorporating Expert Prior Knowledge into Experimental Design via Posterior Sampling. CoRR Cheng Li, Sunil Gupta, Santu Rana, Vu Nguyen, Antonio Robles-Kelly, Svetha Venkatesh
2020	J	`jnl`	Incorporating Expert Prior in Bayesian Optimisation via Space Warping. CoRR Anil Ramachandran, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh
2020	J	`jnl`	Incorporating expert prior in Bayesian optimisation via space warping. Knowl. Based Syst. Anil Ramachandran, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh
2019	J	`jnl`	Accelerating Experimental Design by Incorporating Experimenter Hunches. CoRR Cheng Li, Santu Rana, Sunil Gupta, Vu Nguyen, Svetha Venkatesh, Alessandra Sutti, David Rubin de Celis Leal, Teo Slezak, Murray Height, Mazher Mohammed, Ian Gibson
2019	A*	`conf`	Efficient Bayesian Optimization for Uncertainty Reduction Over Perceived Optima Locations. ICDM Vu Nguyen, Sunil Gupta, Santu Rana, My T. Thai, Cheng Li, Svetha Venkatesh
2019	—	`conf`	Explaining Black-Box Models Using Interpretable Surrogates. PRICAI (1) Deepthi Praveenlal Kuttichira, Sunil Gupta, Cheng Li, Santu Rana, Svetha Venkatesh
2019	J	`jnl`	Filtering Bayesian optimization approach in weakly specified search space. Knowl. Inf. Syst. Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh
2019	J	`jnl`	Sparse Spectrum Gaussian Process for Bayesian Optimisation. CoRR Ang Yang, Cheng Li, Santu Rana, Sunil Gupta, Svetha Venkatesh
2018	A*	`conf`	Accelerating Experimental Design by Incorporating Experimenter Hunches. ICDM Cheng Li, Santu Rana, Sunil Gupta, Vu Nguyen, Svetha Venkatesh, Alessandra Sutti, David Rubin de Celis Leal, Teo Slezak, Murray Height, Mazher Mohammed, Ian Gibson
2018	B	`conf`	Efficient Bayesian Optimisation Using Derivative Meta-model. PRICAI Ang Yang, Cheng Li, Santu Rana, Sunil Gupta, Svetha Venkatesh
2018	J	`jnl`	Kernel Pre-Training in Feature Space via m-Kernels. CoRR Alistair Shilton, Sunil Gupta, Santu Rana, Pratibha Vellanki, Cheng Li, Svetha Venkatesh, Laurence Park, Alessandra Sutti, David Rubin, Thomas Dorin, Alireza Vahid, Murray Height, Teo Slezak
2018	J	`jnl`	Practical Batch Bayesian Optimization for Less Expensive Functions. CoRR Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh
2018	—	`conf`	Sparse Approximation for Gaussian Process with Derivative Observations. Australasian Conference on Artificial Intelligence Ang Yang, Cheng Li, Santu Rana, Sunil Gupta, Svetha Venkatesh
2017	A*	`conf`	Bayesian Optimization in Weakly Specified Search Space. ICDM Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh
2017	J	`jnl`	Budgeted Batch Bayesian Optimization With Unknown Batch Sizes. CoRR Vu Nguyen, Santu Rana, Sunil Gupta, Cheng Li, Svetha Venkatesh
2017	A*	`conf`	High Dimensional Bayesian Optimization using Dropout. IJCAI Cheng Li, Sunil Gupta, Santu Rana, Vu Nguyen, Svetha Venkatesh, Alistair Shilton
2017	A*	`conf`	High Dimensional Bayesian Optimization with Elastic Gaussian Process. ICML Santu Rana, Cheng Li, Sunil Gupta, Vu Nguyen, Svetha Venkatesh
2017	C	`conf`	Regret for Expected Improvement over the Best-Observed Value and Stopping Condition. ACML Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh
2016	C	`conf`	A Bayesian Nonparametric Approach for Multi-label Classification. ACML Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh
2016	A*	`conf`	Budgeted Batch Bayesian Optimization. ICDM Vu Nguyen, Santu Rana, Sunil Kumar Gupta, Cheng Li, Svetha Venkatesh
2016	J	`jnl`	Data clustering using side information dependent Chinese restaurant processes. Knowl. Inf. Syst. Cheng Li, Santu Rana, Dinh Q. Phung, Svetha Venkatesh
2016	J	`jnl`	Hierarchical Bayesian nonparametric models for knowledge discovery from electronic medical records. Knowl. Based Syst. Cheng Li, Santu Rana, Dinh Q. Phung, Svetha Venkatesh
2016	B	`conf`	Multiple adverse effects prediction in longitudinal cancer treatment. ICPR Cheng Li, Sunil Gupta, Santu Rana, Vu Nguyen, Svetha Venkatesh, David Ashely, Trish Livingston
2016	B	`conf`	Stable clinical prediction using graph support vector machines. ICPR Iman Kamkar, Sunil Gupta, Cheng Li, Dinh Q. Phung, Svetha Venkatesh
2016	—	`conf`	Toxicity Prediction in Cancer Using Multiple Instance Learning in a Multi-task Framework. PAKDD (1) Cheng Li, Sunil Gupta, Santu Rana, Wei Luo, Svetha Venkatesh, David Ashely, Dinh Q. Phung
2015	—	`conf`	Small-Variance Asymptotics for Bayesian Nonparametric Models with Constraints. PAKDD (2) Cheng Li, Santu Rana, Dinh Q. Phung, Svetha Venkatesh
2014	B	`conf`	Regularizing Topic Discovery in EMRs with Side Information by Using Hierarchical Bayesian Models. ICPR Cheng Li, Santu Rana, Dinh Q. Phung, Svetha Venkatesh
2013	A	`conf`	Exploiting side information in distance dependent Chinese restaurant processes for data clustering. ICME Cheng Li, Dinh Q. Phung, Santu Rana, Svetha Venkatesh