Ren Wang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 30

Top Topics

Subspace Clustering

Low Rank Subspace

Top Venues

Publications

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 (2024)
Soumyadeep Pal, Yuguang Yao, Ren Wang, Bingquan Shen, Sijia Liu
Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency. CoRR (2024)
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 (2024)
Soumyadeep Pal, Yuguang Yao, Ren Wang, Bingquan Shen, Sijia Liu
Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency. ICLR (2024)
Ren Wang, Zhe Xu, Alfred O. Hero III
Multi-Trigger-Key: Toward Multi-Task Privacy Preserving in Deep Learning. IEEE Access 12 (2024)
Wenting Li, Deepjyoti Deka, Ren Wang, Mario Roberto Arrieta Paternina
Physics-Constrained Adversarial Training for Neural Networks in Stochastic Power Grids. IEEE Trans. Artif. Intell. 5 (3) (2024)
Ren Wang, Ming Zhong, Kaidi Xu, Lola Giráldez Sánchez-Cortés, Ignacio de Cominges Guerra
PINNs-Based Uncertainty Quantification for Transient Stability Analysis. CoRR (2023)
Hanxiao Lu, Zeyu Huang, Ren Wang
Enhancing Healthcare Model Trustworthiness Through Theoretically Guaranteed One-Hidden-Layer CNN Purification. TML4H (2023)
Ren Wang, Yuxuan Li, Sijia Liu
Exploring Diversified Adversarial Robustness in Neural Networks via Robust Mode Connectivity. CVPR Workshops (2023)
Soumyadeep Pal, Ren Wang, Yuguang Yao, Sijia Liu
Towards Understanding How Self-training Tolerates Data Backdoor Poisoning. SafeAI@AAAI (2023)
Soumyadeep Pal, Ren Wang, Yuguang Yao, Sijia Liu
Towards Understanding How Self-training Tolerates Data Backdoor Poisoning. CoRR (2023)
Ren Wang, Tianqi Chen, Stephen Lindsly, Cooper Stansbury, Alnawaz Rehemtulla, Indika Rajapakse, Alfred O. Hero III
RAILS: A Robust Adversarial Immune-Inspired Learning System. IEEE Access 10 (2022)
Ren Wang, Tianqi Chen, Philip Yao, Sijia Liu, Indika Rajapakse, Alfred O. Hero III
ASK: Adversarial Soft k-Nearest Neighbor Attack and Defense. IEEE Access 10 (2022)
Ren Wang, Tianqi Chen
Deep Adversarially-Enhanced k-Nearest Neighbors. CoRR (2021)
Ren Wang, Tianqi Chen, Stephen Lindsly, Cooper Stansbury, Indika Rajapakse, Alfred Olivier Hero
Immuno-mimetic Deep Neural Networks (Immuno-Net). CoRR (2021)
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)
Ren Wang, Tianqi Chen, Philip Yao, Sijia Liu, Indika Rajapakse, Alfred O. Hero III
ASK: Adversarial Soft k-Nearest Neighbor Attack and Defense. CoRR (2021)
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 (2021)
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 (2021)
Ren Wang, Tianqi Chen, Zhe Xu, Pengzhi Gao
Robust Low-Rank Tensor Recovery From Quantized and Corrupted Measurements. ACSCC (2021)
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. ECCV (23) (2020)
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 (2020)
Ren Wang, Meng Wang, Jinjun Xiong
Achieve data privacy and clustering accuracy simultaneously through quantized data recovery. EURASIP J. Adv. Signal Process. 2020 (1) (2020)
Ren Wang, Tianqi Chen, Stephen Lindsly, Alnawaz Rehemtulla, Alfred O. Hero III, Indika Rajapakse
RAILS: A Robust Adversarial Immune-inspired Learning System. CoRR (2020)
Ren Wang, Meng Wang, Jinjun Xiong
Quantized Higher-Order Tensor Recovery by Exploring Low-Dimensional Structures. ACSSC (2020)
Ren Wang, Meng Wang, Jinjun Xiong
Tensor recovery from noisy and multi-level quantized measurements. EURASIP J. Adv. Signal Process. 2020 (1) (2020)
Ren Wang, Meng Wang, Jinjun Xiong
Tensor Recovery from Noisy and Multi-Level Quantized Measurements. CoRR (2019)
Ren Wang, Meng Wang, Jinjun Xiong
Data Recovery and Subspace Clustering From Quantized and Corrupted Measurements. IEEE J. Sel. Top. Signal Process. 12 (6) (2018)
Pengzhi Gao, Ren Wang, Meng Wang, Joe H. Chow
Low-Rank Matrix Recovery From Noisy, Quantized, and Erroneous Measurements. IEEE Trans. Signal Process. 66 (11) (2018)
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)