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Hanyu Shi
Hanyu Shi
PhD Student, Department of Chemical and Biological Engineering, Northwestern University
Verified email at u.northwestern.edu
Title
Cited by
Cited by
Year
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
942016
A universal information theoretic approach to the identification of stopwords
M Gerlach, H Shi, LAN Amaral
Nature Machine Intelligence 1 (12), 606-612, 2019
572019
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
312015
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
242016
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
222019
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
222015
Robust optimisation for integrated planning, scheduling and dynamic optimisation of continuous processes under uncertainty
H Shi, F You
Chemical engineering transactions, 859-864, 2015
82015
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
72019
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
42020
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
32022
Adjustable robust optimization for scheduling of batch processes under uncertainty
H Shi, F You
Computer Aided Chemical Engineering 38, 547-552, 2016
32016
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
32014
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
22015
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
12015
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
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Articles 1–17