| A computational framework and solution algorithms for two‐stage adaptive robust scheduling of batch manufacturing processes under uncertainty H Shi, F You AIChE Journal 62 (3), 687-703, 2016 | 94 | 2016 |
| A universal information theoretic approach to the identification of stopwords M Gerlach, H Shi, LAN Amaral Nature Machine Intelligence 1 (12), 606-612, 2019 | 53 | 2019 |
| Novel optimization model and efficient solution method for integrating dynamic optimization with process operations of continuous manufacturing processes H Shi, Y Chu, F You Industrial & Engineering Chemistry Research 54 (7), 2167-2187, 2015 | 31 | 2015 |
| Energy optimization of water supply system scheduling: Novel MINLP model and efficient global optimization algorithm H Shi, F You AIChE Journal 62 (12), 4277-4296, 2016 | 24 | 2016 |
| A novel adaptive surrogate modeling‐based algorithm for simultaneous optimization of sequential batch process scheduling and dynamic operations H Shi, F You AIChE Journal 61 (12), 4191-4209, 2015 | 22 | 2015 |
| A new evaluation framework for topic modeling algorithms based on synthetic corpora H Shi, M Gerlach, I Diersen, D Downey, LAN Amaral Proceedings of the 22nd International Conference on Artificial Intelligence …, 2019 | 20 | 2019 |
| A quantitative approach for the analysis of clinician recognition of acute respiratory distress syndrome using electronic health record data MA Bechel, AR Pah, H Shi, S Mehrotra, SD Persell, S Weiner, ... PLoS One 14 (9), e0222826, 2019 | 7 | 2019 |
| Robust optimisation for integrated planning, scheduling and dynamic optimisation of continuous processes under uncertainty H Shi, F You Chemical engineering transactions, 859-864, 2015 | 7 | 2015 |
| Information-theory-based benchmarking and feature selection algorithm improve cell type annotation and reproducibility of single cell RNA-seq data analysis pipelines Z Ren, M Gerlach, H Shi, AV Misharin, GRS Budinger, LA Nunes Amaral bioRxiv, 2020.11. 02.365510, 2020 | 4 | 2020 |
| Lumen: a machine learning framework to expose influence cues in texts H Shi, M Silva, L Giovanini, D Capecci, L Czech, J Fernandes, D Oliveira Frontiers in Computer Science 4, 929515, 2022 | 3 | 2022 |
| Integrated planning, scheduling, and dynamic optimization for continuous processes H Shi, Y Chu, F You 53rd IEEE Conference on Decision and Control, 388-393, 2014 | 3 | 2014 |
| Adjustable robust optimization for scheduling of batch processes under uncertainty H Shi, F You Computer Aided Chemical Engineering 38, 547-552, 2016 | 2 | 2016 |
| Adaptive surrogate-based algorithm for integrated scheduling and dynamic optimization of sequential batch processes H Shi, F You 2015 54th IEEE Conference on Decision and Control (CDC), 7304-7309, 2015 | 2 | 2015 |
| Flexible recipe method and decomposition algorithm for integrating production operations and dynamic optimization of continuous manufacturing processes H Shi, F You Chemical Engineering Transactions 43, 1471-1476, 2015 | 1 | 2015 |
| A Principled Approach to the Evaluation of Topic Modeling Algorithms H Shi Northwestern University, 2019 | | 2019 |
| Robust optimization for integrated scheduling of sequential batch processes with dynamics H Shi, F You 2015 American Control Conference (ACC), 4947-4952, 2015 | | 2015 |
| Supplementary Material for the manuscript:“A new evaluation framework for topic modeling algorithms based on synthetic corpora” H Shi, M Gerlach, I Diersen, D Downey, LAN Amaral | | |
