| Practical detection of trojan neural networks: Data-limited and data-free cases R Wang, G Zhang, S Liu, PY Chen, J Xiong, M Wang ECCV2020, 2020 | 153 | 2020 |
| On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning R Wang, K Xu, S Liu, PY Chen, TW Weng, C Gan, M Wang The International Conference on Learning Representations (ICLR), 2021 | 50 | 2021 |
| Low-rank matrix recovery from noisy, quantized, and erroneous measurements P Gao*, R Wang*, M Wang, JH Chow IEEE Transactions on Signal Processing 66 (11), 2918-2932, 2018 | 42 | 2018 |
| Modelling and solutions of coordinated economic dispatch with wind–hydro–thermal complex power source structure LB Shi, R Wang, LZ Yao IET Renewable Power Generation 11 (3), 262-270, 2017 | 29 | 2017 |
| Low-rank matrix recovery from quantized and erroneous measurements: Accuracy-preserved data privatization in power grids P Gao, R Wang, M Wang, JH Chow 2016 50th Asilomar Conference on Signals, Systems and Computers, 374-378, 2016 | 13 | 2016 |
| Small signal stability analysis with high penetration of grid-connected wind farm of PMSG type considering the wake effect R Wang, L Shi, L Yao, Y Ni 2014 IEEE PES General Meeting| Conference & Exposition, 1-5, 2014 | 13 | 2014 |
| Data recovery and subspace clustering from quantized and corrupted measurements R Wang, M Wang, J Xiong IEEE Journal of Selected Topics in Signal Processing 12 (6), 1547-1560, 2018 | 10 | 2018 |
| Physics-constrained adversarial training for neural networks in stochastic power grids W Li, D Deka, R Wang, MRA Paternina IEEE Transactions on Artificial Intelligence 5 (3), 1121-1131, 2023 | 8 | 2023 |
| Detecting trojan neural networks S Liu, PY Chen, JJ Xiong, G Zhang, M Wang, R Wang US Patent 11,394,742, 2022 | 6 | 2022 |
| Rails: A robust adversarial immune-inspired learning system R Wang, T Chen, S Lindsly, C Stansbury, A Rehemtulla, I Rajapakse, ... IEEE Access, 2022 | 6 | 2022 |
| Towards Understanding How Self-training Tolerates Data Backdoor Poisoning S Pal, R Wang, Y Yao, S Liu The AAAI’s Workshop on Artificial Intelligence Safety, 2023 | 5 | 2023 |
| Exploring diversified adversarial robustness in neural networks via robust mode connectivity R Wang, Y Li, S Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 5 | 2023 |
| Ask: Adversarial soft k-nearest neighbor attack and defense R Wang, T Chen, P Yao, S Liu, I Rajapakse, AO Hero IEEE Access 10, 103074-103088, 2022 | 5 | 2022 |
| Physics-constrained backdoor attacks on power system fault localization J Bai, R Wang, Z Li IEEE PES General Meeting 2023, 2022 | 4 | 2022 |
| Achieve data privacy and clustering accuracy simultaneously through quantized data recovery R Wang, M Wang, J Xiong EURASIP Journal on Advances in Signal Processing 2020 (1), 22, 2020 | 4 | 2020 |
| A joint probabilistic analytical model with consideration of wind power and load uncertainties R Wang, L Shi, Y Liu, J Luo, L Yao 2015 5th International Conference on Electric Utility Deregulation and …, 2015 | 4 | 2015 |
| Immuno-mimetic Deep Neural Networks (Immuno-Net) R Wang, T Chen, S Lindsly, C Stansbury, I Rajapakse, A Hero ICML-WCB 2021, 2021 | 3 | 2021 |
| Tensor recovery from noisy and multi-level quantized measurements R Wang, M Wang, J Xiong EURASIP Journal on Advances in Signal Processing 2020, 1-32, 2020 | 3 | 2020 |
| Study on the dynamic economic dispatch for a wind-hydro hybrid power system YJ Liu, LB Shi, R Wang, LZ Yao International Conference on Renewable Power Generation (RPG 2015), 1-6, 2015 | 3 | 2015 |
| Backdoor secrets unveiled: Identifying backdoor data with optimized scaled prediction consistency S Pal, Y Yao, R Wang, B Shen, S Liu International Conference on Learning Representations, 2024 | 2 | 2024 |
Meng WangAssociate Professor, Rensselaer Polytechnic InstituteVerified email at rpi.edu
