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Zirui Liu
Zirui Liu
Verified email at rice.edu - Homepage
Title
Cited by
Cited by
Year
Current sensorless predictive control based on extended Kalman filter for PMSM drives
Y Li, M Yang, J Long, Z Liu, D Xu
2017 IEEE Transportation Electrification Conference and Expo, Asia-Pacific …, 2017
262017
Mitigating gender bias in captioning systems
R Tang, M Du, Y Li, Z Liu, N Zou, X Hu
Proceedings of the Web Conference 2021, 633-645, 2021
252021
Motor speed signature analysis for local bearing fault detection with noise cancellation based on improved drive algorithm
M Yang, N Chai, Z Liu, B Ren, D Xu
IEEE Transactions on Industrial Electronics 67 (5), 4172-4182, 2019
192019
EXACT: Scalable graph neural networks training via extreme activation compression
Z Liu, K Zhou, F Yang, L Li, R Chen, X Hu
International Conference on Learning Representations, 2021
162021
Eccentric triboelectric nanosensor for monitoring mechanical movements
Z Qu, L Wu, B Yue, Y An, Z Liu, P Zhao, J Luo, Y Xie, Y Liu, Q Wang, ...
Nano Energy 62, 348-354, 2019
152019
An algorithm for online inertia identification and load torque observation via adaptive Kalman observer-recursive least squares
M Yang, Z Liu, J Long, W Qu, D Xu
Energies 11 (4), 778, 2018
122018
Autorec: An automated recommender system
TH Wang, X Hu, H Jin, Q Song, X Han, Z Liu
Fourteenth ACM Conference on Recommender Systems, 582-584, 2020
102020
Fmp: Toward fair graph message passing against topology bias
Z Jiang, X Han, C Fan, Z Liu, N Zou, A Mostafavi, X Hu
arXiv preprint arXiv:2202.04187, 2022
72022
DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization
Z Liu, H Jin, TH Wang, K Zhou, X Hu
arXiv preprint arXiv:2103.14545, 2021
72021
An Information Fusion Approach to Learning with Instance-Dependent Label Noise
Z Jiang, K Zhou, Z Liu, L Li, R Chen, SH Choi, X Hu
International Conference on Learning Representations, 2021
62021
Adaptive Label Smoothing To Regularize Large-Scale Graph Training
K Zhou, N Liu, F Yang, Z Liu, R Chen, L Li, SH Choi, X Hu
arXiv preprint arXiv:2108.13555, 2021
42021
A comprehensive study on large-scale graph training: Benchmarking and rethinking
K Duan, Z Liu, P Wang, W Zheng, K Zhou, T Chen, X Hu, Z Wang
arXiv preprint arXiv:2210.07494, 2022
32022
Detecting interactions from neural networks via topological analysis
Z Liu, Q Song, K Zhou, TH Wang, Y Shan, X Hu
Advances in Neural Information Processing Systems 33, 6390-6401, 2020
3*2020
A novel algorithm for on-line inertia identification via adaptive recursive least squares
Z Liu, M Yang, D Xu
IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society …, 2017
32017
Speed measurement error reduction via adaptive strong tracking Kalman filters
Z Liu, M Yang, J Long, D Xu
2017 IEEE Transportation Electrification Conference and Expo, Asia-Pacific …, 2017
22017
Benchmarking Large-Scale Graph Training Over Effectiveness And Efficiency
K Duan, Z Liu, W Zheng, P Wang, K Zhou, T Chen, Z Wang, X Hu
12018
RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations
Z Liu, S Chen, K Zhou, D Zha, X Huang, X Hu
arXiv preprint arXiv:2210.10737, 2022
2022
Towards Memory Efficient Training via Dual Activation Precision
G Wang, Z Liu, Z Jiang, N Liu, N Zou, X Hu
arXiv preprint arXiv:2208.04187, 2022
2022
Graph Neural Networks: AutoML
XH Kaixiong Zhou, Zirui Liu, Keyu Duan
Graph Neural Networks: Foundations, Frontiers, and Applications, 371--389, 2022
2022
Table2Graph: Transforming Tabular Data to Unified Weighted Graph
K Zhou, Z Liu, R Chen, L Li, SH Choi, X Hu
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Articles 1–20