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Ren Wang 0008
Person information
- affiliation: University of Michigan, Ann Arbor, MI, USA
- affiliation (Ph.D.): Rensselaer Polytechnic Institute, Troy, NY, USA
Other persons with the same name
- Ren Wang — disambiguation page
- Ren Wang 0001
— Intel Labs, Portland, OR, USA
- Ren Wang 0002 — Southwest Jiaotong University, Chengdu, China
- Ren Wang 0003 — Concordia University, Montreal, Quebec, Canada
- Ren Wang 0004 — University of Illinois at Urbana Champaign, IL, USA
- Ren Wang 0005
- Ren Wang 0006
- Ren Wang 0007
- Ren Wang 0009 — University of Alberta, Edmonton, Canada
- Ren Wang 0010 — Xi'an Jiaotong University, China
- Ren Wang 0011
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2020 – today
- 2024
- [j8]Ren Wang
Multi-Trigger-Key: Toward Multi-Task Privacy Preserving in Deep Learning. IEEE Access 12: 16939-16950 (2024) - [j7]Wenting Li
Physics-Constrained Adversarial Training for Neural Networks in Stochastic Power Grids. IEEE Trans. Artif. Intell. 5(3): 1121-1131 (2024) - [c9]Soumyadeep Pal, Yuguang Yao, Ren Wang, Bingquan Shen, Sijia Liu:
Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency. ICLR 2024 - [i16]Zhiyuan Wang, Jinhao Duan, Chenxi Yuan, Qingyu Chen, Tianlong Chen, Huaxiu Yao, Yue Zhang, Ren Wang, Kaidi Xu, Xiaoshuang Shi:
Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond. CoRR abs/2402.14259 (2024) - [i15]Soumyadeep Pal, Yuguang Yao, Ren Wang, Bingquan Shen, Sijia Liu:
Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency. CoRR abs/2403.10717 (2024) - [i14]Wei Li, Pin-Yu Chen, Sijia Liu, Ren Wang:
PSBD: Prediction Shift Uncertainty Unlocks Backdoor Detection. CoRR abs/2406.05826 (2024) - [i13]Hanxiao Lu, Zeyu Huang, Ren Wang:
Purification Of Contaminated Convolutional Neural Networks Via Robust Recovery: An Approach with Theoretical Guarantee in One-Hidden-Layer Case. CoRR abs/2407.11031 (2024) - 2023
- [c8]Soumyadeep Pal, Ren Wang, Yuguang Yao, Sijia Liu:
Towards Understanding How Self-training Tolerates Data Backdoor Poisoning. SafeAI@AAAI 2023 - [c7]Ren Wang, Yuxuan Li, Sijia Liu:
Exploring Diversified Adversarial Robustness in Neural Networks via Robust Mode Connectivity. CVPR Workshops 2023: 2346-2352 - [c6]Hanxiao Lu, Zeyu Huang, Ren Wang
Enhancing Healthcare Model Trustworthiness Through Theoretically Guaranteed One-Hidden-Layer CNN Purification. TML4H 2023: 122-133 - [i12]Soumyadeep Pal, Ren Wang, Yuguang Yao, Sijia Liu:
Towards Understanding How Self-training Tolerates Data Backdoor Poisoning. CoRR abs/2301.08751 (2023) - [i11]Ren Wang, Yuxuan Li, Sijia Liu:
Robust Mode Connectivity-Oriented Adversarial Defense: Enhancing Neural Network Robustness Against Diversified 𝓁p Attacks. CoRR abs/2303.10225 (2023) - [i10]Ren Wang, Ming Zhong, Kaidi Xu, Lola Giráldez Sánchez-Cortés, Ignacio de Cominges Guerra:
PINNs-Based Uncertainty Quantification for Transient Stability Analysis. CoRR abs/2311.12947 (2023) - 2022
- [j6]Ren Wang
RAILS: A Robust Adversarial Immune-Inspired Learning System. IEEE Access 10: 22061-22078 (2022) - [j5]Ren Wang
ASK: Adversarial Soft k-Nearest Neighbor Attack and Defense. IEEE Access 10: 103074-103088 (2022) - 2021
- [c5]Ren Wang, Tianqi Chen, Zhe Xu, Pengzhi Gao:
Robust Low-Rank Tensor Recovery From Quantized and Corrupted Measurements. ACSCC 2021: 1656-1660 - [c4]Ren Wang, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Chuang Gan, Meng Wang:
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning. ICLR 2021 - [i9]Ren Wang, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Chuang Gan, Meng Wang:
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning. CoRR abs/2102.10454 (2021) - [i8]Ren Wang, Tianqi Chen, Philip Yao, Sijia Liu, Indika Rajapakse, Alfred O. Hero III:
ASK: Adversarial Soft k-Nearest Neighbor Attack and Defense. CoRR abs/2106.14300 (2021) - [i7]Ren Wang, Tianqi Chen, Stephen Lindsly, Cooper Stansbury, Alnawaz Rehemtulla, Indika Rajapakse, Alfred O. Hero III:
RAILS: A Robust Adversarial Immune-inspired Learning System. CoRR abs/2107.02840 (2021) - [i6]Ren Wang, Tianqi Chen, Stephen Lindsly, Cooper Stansbury, Indika Rajapakse, Alfred Olivier Hero:
Immuno-mimetic Deep Neural Networks (Immuno-Net). CoRR abs/2107.02842 (2021) - [i5]Ren Wang, Tianqi Chen:
Deep Adversarially-Enhanced k-Nearest Neighbors. CoRR abs/2108.06797 (2021) - [i4]Ren Wang, Zhe Xu, Alfred O. Hero III:
Multi-Trigger-Key: Towards Multi-Task Privacy Preserving In Deep Learning. CoRR abs/2110.03106 (2021) - 2020
- [j4]Ren Wang, Meng Wang, Jinjun Xiong
Achieve data privacy and clustering accuracy simultaneously through quantized data recovery. EURASIP J. Adv. Signal Process. 2020(1): 22 (2020) - [j3]Ren Wang, Meng Wang, Jinjun Xiong
Tensor recovery from noisy and multi-level quantized measurements. EURASIP J. Adv. Signal Process. 2020(1): 41 (2020) - [c3]Ren Wang, Meng Wang, Jinjun Xiong
Quantized Higher-Order Tensor Recovery by Exploring Low-Dimensional Structures. ACSSC 2020: 923-928 - [c2]Ren Wang, Gaoyuan Zhang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases. ECCV (23) 2020: 222-238 - [i3]Ren Wang, Gaoyuan Zhang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong, Meng Wang:
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases. CoRR abs/2007.15802 (2020) - [i2]Ren Wang, Tianqi Chen, Stephen Lindsly, Alnawaz Rehemtulla, Alfred O. Hero III, Indika Rajapakse:
RAILS: A Robust Adversarial Immune-inspired Learning System. CoRR abs/2012.10485 (2020)
2010 – 2019
- 2019
- [i1]Ren Wang, Meng Wang, Jinjun Xiong:
Tensor Recovery from Noisy and Multi-Level Quantized Measurements. CoRR abs/1912.02588 (2019) - 2018
- [j2]Ren Wang
Data Recovery and Subspace Clustering From Quantized and Corrupted Measurements. IEEE J. Sel. Top. Signal Process. 12(6): 1547-1560 (2018) - [j1]Pengzhi Gao, Ren Wang
Low-Rank Matrix Recovery From Noisy, Quantized, and Erroneous Measurements. IEEE Trans. Signal Process. 66(11): 2918-2932 (2018) - 2016
- [c1]Pengzhi Gao, Ren Wang, Meng Wang, Joe H. Chow:
Low-rank matrix recovery from quantized and erroneous measurements: Accuracy-preserved data privatization in power grids. ACSSC 2016: 374-378
Coauthor Index
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