| Cellular particle swarm optimization Y Shi, H Liu, L Gao, G Zhang Information Sciences 181 (20), 4460-4493, 2011 | 194 | 2011 |
| 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 | 93 | 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 | 63 | 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 | 52 | 2012 |
| 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 | 39 | 2015 |
| A Discrete Electromagnetism-Like Mechanism Algorithm for Solving Distributed Permutation Flowshop Scheduling Problem H Liu, L Gao Manufacturing Automation (ICMA), 2010 International Conference on, 156-163, 2010 | 37 | 2010 |
| 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 | 36 | 2015 |
| 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 | 28 | 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 | 27 | 2017 |
| Global solutions to folded concave penalized nonconvex learning H Liu, T Yao, R Li The Annals of Statistics 44 (2), 629-659, 2016 | 24 | 2016 |
| 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 | 23 | 2017 |
| 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 | 22 | 2015 |
| 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 | 20 | 2013 |
| Optimality condition and complexity analysis for linearly-constrained optimization without differentiability on the boundary G Haeser, H Liu, Y Ye Mathematical Programming (Accepted), 2018 | 17 | 2018 |
| 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, 2013 | 17 | 2013 |
| 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 and biology, 2018 | 12 | 2018 |
| A new sparse optimization scheme for simultaneous beam angle and fluence map optimization in radiotherapy planning H Liu, P Dong, L Xing Physics in Medicine & Biology 62 (16), 6428, 2017 | 11 | 2017 |
| Folded concave penalized learning in identifying multimodal MRI marker for Parkinson’s disease H Liu, G Du, L Zhang, MM Lewis, X Wang, T Yao, R Li, X Huang Journal of neuroscience methods 268, 1-6, 2016 | 7 | 2016 |
| Tomographic Wire-Mesh Imaging of Water-Air Flow based on Sparse Minimization S Ren, H Liu, C Tao, F Dong IEEE Sensors Journal, 10.1109/JSEN.2017.2752226, 2017 | 6 | 2017 |
| Isodose Feature‐Preserving Voxelization (IFPV) for Radiation Therapy Treatment Planning H Liu, L Xing Medical physics, 2018 | 4 | 2018 |
Tao YaoPennsylvania State UniversityVerified email at psu.edu
