Low-rank matrix recovery from quantized and erroneous measurements: Accuracy-preserved data privatization in power grids. - Pengzhi Gao; Ren Wang 008; Meng Wang 003; Joe H. Chow (ACSSC, 2016)

Data Recovery and Subspace Clustering From Quantized and Corrupted Measurements. - Ren Wang 008; Meng Wang 003; Jinjun Xiong (IEEE J. Sel. Top. Signal Process., 2018)

Low-Rank Matrix Recovery From Noisy, Quantized, and Erroneous Measurements. - Pengzhi Gao; Ren Wang 008; Meng Wang 003; Joe H. Chow (IEEE Trans. Signal Process., 2018)

Quantized Higher-Order Tensor Recovery by Exploring Low-Dimensional Structures. - Ren Wang 008; Meng Wang 003; Jinjun Xiong (ACSSC, 2020)

Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases. - Ren Wang 008; Gaoyuan Zhang; Sijia Liu 001; Pin-Yu Chen; Jinjun Xiong; Meng Wang 003 (ECCV (23), 2020)

RAILS: A Robust Adversarial Immune-inspired Learning System. - Ren Wang 008; Tianqi Chen; Stephen Lindsly; Alnawaz Rehemtulla; Alfred O. Hero III; Indika Rajapakse (CoRR, 2020)

Achieve data privacy and clustering accuracy simultaneously through quantized data recovery. - Ren Wang 008; Meng Wang 003; Jinjun Xiong (EURASIP J. Adv. Signal Process., 2020)

Tensor recovery from noisy and multi-level quantized measurements. - Ren Wang 008; Meng Wang 003; Jinjun Xiong (EURASIP J. Adv. Signal Process., 2020)

Robust Low-Rank Tensor Recovery From Quantized and Corrupted Measurements. - Ren Wang 008; Tianqi Chen; Zhe Xu 005; Pengzhi Gao (ACSCC, 2021)

On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning. - Ren Wang 008; Kaidi Xu; Sijia Liu 001; Pin-Yu Chen; Tsui-Wei Weng; Chuang Gan 001; Meng Wang 003 (ICLR, 2021)

Immuno-mimetic Deep Neural Networks (Immuno-Net). - Ren Wang 008; Tianqi Chen; Stephen Lindsly; Cooper Stansbury; Indika Rajapakse; Alfred Olivier Hero (CoRR, 2021)

Deep Adversarially-Enhanced k-Nearest Neighbors. - Ren Wang 008; Tianqi Chen (CoRR, 2021)

Multi-Trigger-Key: Towards Multi-Task Privacy Preserving In Deep Learning. - Ren Wang 008; Zhe Xu 005; Alfred O. Hero III (CoRR, 2021)

RAILS: A Robust Adversarial Immune-Inspired Learning System. - Ren Wang 008; Tianqi Chen; Stephen Lindsly; Cooper Stansbury; Alnawaz Rehemtulla; Indika Rajapakse; Alfred O. Hero III (IEEE Access, 2022)

ASK: Adversarial Soft k-Nearest Neighbor Attack and Defense. - Ren Wang 008; Tianqi Chen; Philip Yao; Sijia Liu 001; Indika Rajapakse; Alfred O. Hero III (IEEE Access, 2022)

Towards Understanding How Self-training Tolerates Data Backdoor Poisoning. - Soumyadeep Pal; Ren Wang 008; Yuguang Yao; Sijia Liu 001 (SafeAI@AAAI, 2023)

Exploring Diversified Adversarial Robustness in Neural Networks via Robust Mode Connectivity. - Ren Wang 008; Yuxuan Li; Sijia Liu 001 (CVPR Workshops, 2023)

Enhancing Healthcare Model Trustworthiness Through Theoretically Guaranteed One-Hidden-Layer CNN Purification. - Hanxiao Lu; Zeyu Huang; Ren Wang 008 (TML4H, 2023)

Robust Mode Connectivity-Oriented Adversarial Defense: Enhancing Neural Network Robustness Against Diversified 𝓁p Attacks. - Ren Wang 008; Yuxuan Li; Sijia Liu 001 (CoRR, 2023)

PINNs-Based Uncertainty Quantification for Transient Stability Analysis. - Ren Wang 008; Ming Zhong; Kaidi Xu; Lola Giráldez Sánchez-Cortés; Ignacio de Cominges Guerra (CoRR, 2023)

Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency. - Soumyadeep Pal; Yuguang Yao; Ren Wang 008; Bingquan Shen; Sijia Liu 001 (ICLR, 2024)

Deep Adversarial Defense Against Multilevel $- ell_{P}$ Attacks. - Ren Wang 008; Yuxuan Li; Alfred O. Hero III (MLSP, 2024)

Multi-Trigger-Key: Toward Multi-Task Privacy Preserving in Deep Learning. - Ren Wang 008; Zhe Xu 005; Alfred O. Hero III (IEEE Access, 2024)

Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond. - Zhiyuan Wang; Jinhao Duan; Chenxi Yuan; Qingyu Chen 001; Tianlong Chen 001; Huaxiu Yao; Yue Zhang; Ren Wang 008; Kaidi Xu; Xiaoshuang Shi (CoRR, 2024)

Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification. - Changchang Sun; Ren Wang 008; Yihua Zhang; Jinghan Jia; Jiancheng Liu; Gaowen Liu; Sijia Liu 001; Yan Yan (CoRR, 2024)

Data-Driven Analysis of T-Product-Based Dynamical Systems. - Xin Mao; Anqi Dong; Ziqin He; Yidan Mei; Shenghan Mei; Ren Wang 008; Can Chen 003 (IEEE Control. Syst. Lett., 2024)

Physics-Constrained Adversarial Training for Neural Networks in Stochastic Power Grids. - Wenting Li; Deepjyoti Deka; Ren Wang 008; Mario Roberto Arrieta Paternina (IEEE Trans. Artif. Intell., 2024)

PSBD: Prediction Shift Uncertainty Unlocks Backdoor Detection. - Wei Li; Pin-Yu Chen; Sijia Liu 001; Ren Wang 008 (CVPR, 2025)

Revisiting Mode Connectivity in Neural Networks with Bezier Surface. - Jie Ren; Pin-Yu Chen; Ren Wang 008 (ICLR, 2025)

Word-Sequence Entropy: Towards uncertainty estimation in free-form medical question answering applications and beyond. - Zhiyuan Wang; Jinhao Duan; Chenxi Yuan; Qingyu Chen 001; Tianlong Chen 001; Yue Zhang; Ren Wang 008; Xiaoshuang Shi; Kaidi Xu (Eng. Appl. Artif. Intell., 2025)

Efficient and Robust Continual Graph Learning for Graph Classification in Biology. - Ding Zhang; Jane Downer; Can Chen 003; Ren Wang 008 (IEEE Trans. Signal Inf. Process. over Networks, 2025)

Data-driven Control of T-Product-based Dynamical Systems. - Ziqin He; Yidan Mei; Shenghan Mei; Xin Mao; Anqi Dong; Ren Wang 008; Can Chen 003 (CoRR, 2025)

Data-driven model order reduction for T-Product-Based dynamical systems. - Shenghan Mei; Ziqin He; Yidan Mei; Xin Mao; Anqi Dong; Ren Wang 008; Can Chen 003 (CoRR, 2025)

Purification of Contaminated Convolutional Neural Networks via Robust Recovery: An Approach With Theoretical Guarantee in One-Hidden-Layer Case. - Hanxiao Lu; Zeyu Huang; Ren Wang 008 (IEEE J. Sel. Top. Signal Process., 2025)