Jian Liu
Cited by
Cited by
Vision-based target detection and localization via a team of cooperative UAV and UGVs
S Minaeian, J Liu, YJ Son
IEEE Transactions on systems, man, and cybernetics: systems 46 (7), 1005-1016, 2015
State space modeling for 3-D variation propagation in rigid-body multistage assembly processes
J Liu, J Jin, J Shi
IEEE Transactions on Automation Science and Engineering 7 (2), 274-290, 2009
Effective and efficient detection of moving targets from a UAV’s camera
S Minaeian, J Liu, YJ Son
IEEE transactions on intelligent transportation systems 19 (2), 497-506, 2018
Bayesian modeling of multi-state hierarchical systems with multi-level information aggregation
M Li, J Liu, J Li, BU Kim
Reliability Engineering & System Safety 124, 158-164, 2014
A DDDAMS-based planning and control framework for surveillance and crowd control via UAVs and UGVs
AM Khaleghi, D Xu, Z Wang, M Li, A Lobos, J Liu, YJ Son
Expert Systems with Applications 40 (18), 7168-7183, 2013
Improving the rapidity of responses to pipe burst in water distribution systems: A comparison of statistical process control methods
D Jung, D Kang, J Liu, K Lansey
Journal of Hydroinformatics 17 (2), 307-328, 2015
State space modeling of variation propagation in multistation machining processes considering machining-induced variations
JV Abellan-Nebot, J Liu, FR Subirón, J Shi
Quality prediction and compensation in multi-station machining processes using sensor-based fixtures
JV Abellan-Nebot, J Liu, FR Subirón
Robotics and Computer-Integrated Manufacturing 28 (2), 208-219, 2012
Variation reduction for multistage manufacturing processes: a comparison survey of statistical‐process‐control vs stream‐of‐variation methodologies
J Liu
Quality and Reliability Engineering International 26 (7), 645-661, 2010
Quality Assured Setup Planning Based on the Stream-of-Variation Model for Multi-Stage Machining Processes
J Liu, J Shi, SJ Hu
International Manufacturing Science and Engineering Conference 47624, 529-538, 2006
Predictive control considering model uncertainty for variation reduction in multistage assembly processes
J Zhong, J Liu, J Shi
IEEE Transactions on Automation Science and Engineering 7 (4), 724-735, 2010
Software reliability growth modeling and analysis with dual fault detection and correction processes
L Wang, Q Hu, J Liu
IIE transactions 48 (4), 359-370, 2016
Engineering-driven factor analysis for variation source identification in multistage manufacturing processes
J Liu, J Shi, SJ Hu
Prediction of inter-chain distance maps of protein complexes with 2D attention-based deep neural networks
Z Guo, J Liu, J Skolnick, J Cheng
Nature Communications 13 (1), 6963, 2022
Design and risk evaluation of reliability demonstration test for hierarchical systems with multilevel information aggregation
M Li, W Zhang, Q Hu, H Guo, J Liu
IEEE Transactions on Reliability 66 (1), 135-147, 2016
DDDAMS-based crowd control via UAVs and UGVs
Z Wang, M Li, AM Khaleghi, D Xu, A Lobos, C Vo, JM Lien, J Liu, YJ Son
Procedia Computer Science 18, 2028-2035, 2013
Catalytic enantioselective aza-Piancatelli rearrangement
AB Gade, NT Patil
Synlett 28 (09), 1096-1100, 2017
Protein model accuracy estimation empowered by deep learning and inter-residue distance prediction in CASP14
X Chen, J Liu, Z Guo, T Wu, J Hou, J Cheng
Scientific Reports 11 (1), 10943, 2021
Process-oriented tolerancing using the extended stream of variation model
JV Abellán-Nebot, J Liu, FR Subirón
Computers in Industry 64 (5), 485-498, 2013
A DDDAMS-based UAV and UGV team formation approach for surveillance and crowd control
AM Khaleghi, D Xu, S Minaeian, M Li, Y Yuan, J Liu, YJ Son, C Vo, ...
Proceedings of the Winter Simulation Conference 2014, 2907-2918, 2014
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