| Cellular particle swarm optimization Y Shi, H Liu, L Gao, G Zhang Information Sciences 181 (20), 4460-4493, 2011 | 269 | 2011 |
| Brain organoid reservoir computing for artificial intelligence H Cai, Z Ao, C Tian, Z Wu, H Liu, J Tchieu, M Gu, K Mackie, F Guo Nature Electronics, 1-8, 2023 | 136* | 2023 |
| A hybrid particle swarm optimization with estimation of distribution algorithm for solving permutation flowshop scheduling problem H Liu, L Gao, Q Pan Expert Systems with Applications 38 (4), 4348-4360, 2011 | 124 | 2011 |
| A robust optimization approach for dynamic traffic signal control with emission considerations K Han, H Liu, VV Gayah, TL Friesz, T Yao Transportation Research Part C: Emerging Technologies 70, 3-26, 2016 | 121 | 2016 |
| Dynamic congestion pricing with demand uncertainty: A robust optimization approach B Do Chung, T Yao, TL Friesz, H Liu Transportation Research Part B: Methodological 46 (10), 1504-1518, 2012 | 81 | 2012 |
| Elastic demand dynamic network user equilibrium: Formulation, existence and computation K Han, TL Friesz, WY Szeto, H Liu Transportation Research Part B: Methodological 81, 183-209, 2015 | 61 | 2015 |
| Data-driven linear decision rule approach for distributionally robust optimization of on-line signal control H Liu, K Han, VV Gayah, TL Friesz, T Yao Transportation Research Part C: Emerging Technologies 59, 260-277, 2015 | 60 | 2015 |
| A discrete electromagnetism-like mechanism algorithm for solving distributed permutation flowshop scheduling problem H Liu, L Gao 2010 International Conference on Manufacturing Automation, 156-163, 2010 | 59 | 2010 |
| Optimality condition and complexity analysis for linearly-constrained optimization without differentiability on the boundary G Haeser, H Liu, Y Ye Mathematical Programming (Accepted), 2018 | 53 | 2018 |
| A bi-level model of dynamic traffic signal control with continuum approximation K Han, Y Sun, H Liu, T Friesz, T Yao Transportation Research Part C, 2015 | 52 | 2015 |
| Development of an autonomous treatment planning strategy for radiation therapy with effective use of population‐based prior data H Wang, P Dong, H Liu, L Xing Medical physics 44 (2), 389-396, 2017 | 47 | 2017 |
| A digital acoustofluidic pump powered by localized fluid-substrate interactions Z Wu, H Cai, Z Ao, A Nunez, H Liu, M Bondesson, S Guo, F Guo Analytical chemistry 91 (11), 7097-7103, 2019 | 46 | 2019 |
| Day-to-day congestion pricing and network resilience Y Wang, H Liu, K Han, TL Friesz, T Yao Transportmetrica A: Transport Science 11 (9), 873-895, 2015 | 44 | 2015 |
| Folded concave penalized sparse linear regression: sparsity, statistical performance, and algorithmic theory for local solutions H Liu, T Yao, R Li, Y Ye Mathematical Programming Series A, 2017 | 43 | 2017 |
| Global solutions to folded concave penalized nonconvex learning H Liu, T Yao, R Li The Annals of Statistics 44 (2), 629-659, 2016 | 42 | 2016 |
| Microfluidics Guided by Deep Learning for Cancer Immunotherapy Screening Z Ao, H Cai, Z Wu, L Hu, A Nunez, Z Zhou, H Liu, M Bondesson, X Lu, ... Proceedings of the National Academy of Sciences; 10.1073/pnas.2214569119, 2022 | 37 | 2022 |
| Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction Y Chen, H Liu, X Ye, Q Zhang SIAM Journal on Imaging Sciences 14 (4), 1532–1564, 2021 | 31 | 2021 |
| Monte Carlo tree search-based non-coplanar trajectory design for station parameter optimized radiation therapy (SPORT) P Dong, H Liu, L Xing Physics in Medicine & Biology 63 (13), 135014, 2018 | 27 | 2018 |
| Dynamic Congestion and Tolls with Mobile Source Emission TL Friesz, K Han, H Liu, T Yao Procedia-Social and Behavioral Sciences 80, 818-836, 2013 | 26 | 2013 |
| Impact of economic and technical uncertainties on dynamic new product development T Yao, B Jiang, H Liu IEEE Transactions on Engineering Management 60 (1), 157-168, 2012 | 21 | 2012 |
Tao YaoAlibabaВерификована је имејл адреса на alumni.stanford.edu
