Ren Wang - RankMe

57 papers A* 5Misc 2Journal 44Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Data-driven model order reduction via T-SVD. Autom. Shenghan Mei, Ziqin He, Yidan Mei, Xin Mao, Anqi Dong, Ren Wang, Can Chen
2025	J	`jnl`	Data-driven Control of T-Product-based Dynamical Systems. CoRR Ziqin He, Yidan Mei, Shenghan Mei, Xin Mao, Anqi Dong, Ren Wang, Can Chen
2025	J	`jnl`	Data-driven model order reduction for T-Product-Based dynamical systems. CoRR Shenghan Mei, Ziqin He, Yidan Mei, Xin Mao, Anqi Dong, Ren Wang, Can Chen
2025	J	`jnl`	Dual-route embedding-aware graph neural networks for drug repositioning. Briefings Bioinform. Yanlong Zhao, Yixiao Chen, Jiawen Du, Jun Wen, Quan Sun, Ren Wang, Can Chen
2025	J	`jnl`	Efficient and Robust Continual Graph Learning for Graph Classification in Biology. IEEE Trans. Signal Inf. Process. over Networks Ding Zhang, Jane Downer, Can Chen, Ren Wang
2025	J	`jnl`	Exploring Dynamic Properties of Backdoor Training Through Information Bottleneck. CoRR Xinyu Liu, Xu Zhang, Can Chen, Ren Wang
2025	J	`jnl`	HODDI: A Dataset of High-Order Drug-Drug Interactions for Computational Pharmacovigilance. CoRR Zhaoying Wang, Yingdan Shi, Xiang Liu, Can Chen, Jun Wen, Ren Wang
2025	J	`jnl`	Heterogeneous entity representation for medicinal synergy prediction. Bioinform. Jiawei Wu, Jun Wen, Mingyuan Yan, Anqi Dong, Shuai Gao, Ren Wang, Can Chen
2025	J	`jnl`	Identifying Backdoored Graphs in Graph Neural Network Training: An Explanation-Based Approach With Novel Metrics. IEEE Trans. Inf. Forensics Secur. Jane Downer, Ren Wang, Binghui Wang
2025	J	`jnl`	MCU: Improving Machine Unlearning through Mode Connectivity. CoRR Yingdan Shi, Ren Wang
2025	A*	`conf`	Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach. ICML Xu Zhang, Kaidi Xu, Ziqing Hu, Ren Wang
2025	J	`jnl`	Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach. CoRR Xu Zhang, Kaidi Xu, Ziqing Hu, Ren Wang
2025	A*	`conf`	PSBD: Prediction Shift Uncertainty Unlocks Backdoor Detection. CVPR Wei Li, Pin-Yu Chen, Sijia Liu, Ren Wang
2025	J	`jnl`	Purification of Contaminated Convolutional Neural Networks via Robust Recovery: An Approach With Theoretical Guarantee in One-Hidden-Layer Case. IEEE J. Sel. Top. Signal Process. Hanxiao Lu, Zeyu Huang, Ren Wang
2025	J	`jnl`	Redefining Machine Unlearning: A Conformal Prediction-Motivated Approach. CoRR Yingdan Shi, Ren Wang
2025	A*	`conf`	Revisiting Mode Connectivity in Neural Networks with Bezier Surface. ICLR Jie Ren, Pin-Yu Chen, Ren Wang
2025	J	`jnl`	Watermarking Graph Neural Networks via Explanations for Ownership Protection. CoRR Jane Downer, Ren Wang, Binghui Wang
2025	J	`jnl`	Word-Sequence Entropy: Towards uncertainty estimation in free-form medical question answering applications and beyond. Eng. Appl. Artif. Intell. Zhiyuan Wang, Jinhao Duan, Chenxi Yuan, Qingyu Chen, Tianlong Chen, Yue Zhang, Ren Wang, Xiaoshuang Shi, Kaidi Xu
2024	A*	`conf`	Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency. ICLR Soumyadeep Pal, Yuguang Yao, Ren Wang, Bingquan Shen, Sijia Liu
2024	J	`jnl`	Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency. CoRR Soumyadeep Pal, Yuguang Yao, Ren Wang, Bingquan Shen, Sijia Liu
2024	J	`jnl`	Data-Driven Analysis of T-Product-Based Dynamical Systems. IEEE Control. Syst. Lett. Xin Mao, Anqi Dong, Ziqin He, Yidan Mei, Shenghan Mei, Ren Wang, Can Chen
2024	—	`conf`	Deep Adversarial Defense Against Multilevel $-\ell_{P}$ Attacks. MLSP Ren Wang, Yuxuan Li, Alfred O. Hero III
2024	J	`jnl`	Deep Adversarial Defense Against Multilevel-Lp Attacks. CoRR Ren Wang, Yuxuan Li, Alfred Hero
2024	J	`jnl`	Efficient and Robust Continual Graph Learning for Graph Classification in Biology. CoRR Ding Zhang, Jane Downer, Can Chen, Ren Wang
2024	J	`jnl`	Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification. CoRR Changchang Sun, Ren Wang, Yihua Zhang, Jinghan Jia, Jiancheng Liu, Gaowen Liu, Sijia Liu, Yan Yan
2024	J	`jnl`	Multi-Trigger-Key: Toward Multi-Task Privacy Preserving in Deep Learning. IEEE Access Ren Wang, Zhe Xu, Alfred O. Hero III
2024	J	`jnl`	PSBD: Prediction Shift Uncertainty Unlocks Backdoor Detection. CoRR Wei Li, Pin-Yu Chen, Sijia Liu, Ren Wang
2024	J	`jnl`	Physics-Constrained Adversarial Training for Neural Networks in Stochastic Power Grids. IEEE Trans. Artif. Intell. Wenting Li, Deepjyoti Deka, Ren Wang, Mario Roberto Arrieta Paternina
2024	J	`jnl`	Purification Of Contaminated Convolutional Neural Networks Via Robust Recovery: An Approach with Theoretical Guarantee in One-Hidden-Layer Case. CoRR Hanxiao Lu, Zeyu Huang, Ren Wang
2024	J	`jnl`	Securing GNNs: Explanation-Based Identification of Backdoored Training Graphs. CoRR Jane Downer, Ren Wang, Binghui Wang
2024	J	`jnl`	Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond. CoRR Zhiyuan Wang, Jinhao Duan, Chenxi Yuan, Qingyu Chen, Tianlong Chen, Huaxiu Yao, Yue Zhang, Ren Wang, Kaidi Xu, Xiaoshuang Shi
2023	—	`conf`	Enhancing Healthcare Model Trustworthiness Through Theoretically Guaranteed One-Hidden-Layer CNN Purification. TML4H Hanxiao Lu, Zeyu Huang, Ren Wang
2023	—	`conf`	Exploring Diversified Adversarial Robustness in Neural Networks via Robust Mode Connectivity. CVPR Workshops Ren Wang, Yuxuan Li, Sijia Liu
2023	J	`jnl`	PINNs-Based Uncertainty Quantification for Transient Stability Analysis. CoRR Ren Wang, Ming Zhong, Kaidi Xu, Lola Giráldez Sánchez-Cortés, Ignacio de Cominges Guerra
2023	J	`jnl`	Robust Mode Connectivity-Oriented Adversarial Defense: Enhancing Neural Network Robustness Against Diversified 𝓁 CoRR Ren Wang, Yuxuan Li, Sijia Liu
2023	—	`conf`	Towards Understanding How Self-training Tolerates Data Backdoor Poisoning. SafeAI@AAAI Soumyadeep Pal, Ren Wang, Yuguang Yao, Sijia Liu
2023	J	`jnl`	Towards Understanding How Self-training Tolerates Data Backdoor Poisoning. CoRR Soumyadeep Pal, Ren Wang, Yuguang Yao, Sijia Liu
2022	J	`jnl`	ASK: Adversarial Soft k-Nearest Neighbor Attack and Defense. IEEE Access Ren Wang, Tianqi Chen, Philip Yao, Sijia Liu, Indika Rajapakse, Alfred O. Hero III
2022	J	`jnl`	RAILS: A Robust Adversarial Immune-Inspired Learning System. IEEE Access Ren Wang, Tianqi Chen, Stephen Lindsly, Cooper Stansbury, Alnawaz Rehemtulla, Indika Rajapakse, Alfred O. Hero III
2021	J	`jnl`	ASK: Adversarial Soft k-Nearest Neighbor Attack and Defense. CoRR Ren Wang, Tianqi Chen, Philip Yao, Sijia Liu, Indika Rajapakse, Alfred O. Hero III
2021	J	`jnl`	Deep Adversarially-Enhanced k-Nearest Neighbors. CoRR Ren Wang, Tianqi Chen
2021	J	`jnl`	Immuno-mimetic Deep Neural Networks (Immuno-Net). CoRR Ren Wang, Tianqi Chen, Stephen Lindsly, Cooper Stansbury, Indika Rajapakse, Alfred Olivier Hero
2021	J	`jnl`	Multi-Trigger-Key: Towards Multi-Task Privacy Preserving In Deep Learning. CoRR Ren Wang, Zhe Xu, Alfred O. Hero III
2021	A*	`conf`	On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning. ICLR Ren Wang, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Chuang Gan, Meng Wang
2021	J	`jnl`	On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning. CoRR Ren Wang, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Tsui-Wei Weng, Chuang Gan, Meng Wang
2021	J	`jnl`	RAILS: A Robust Adversarial Immune-inspired Learning System. CoRR Ren Wang, Tianqi Chen, Stephen Lindsly, Cooper Stansbury, Alnawaz Rehemtulla, Indika Rajapakse, Alfred O. Hero III
2021	—	`conf`	Robust Low-Rank Tensor Recovery From Quantized and Corrupted Measurements. ACSCC Ren Wang, Tianqi Chen, Zhe Xu, Pengzhi Gao
2020	J	`jnl`	Achieve data privacy and clustering accuracy simultaneously through quantized data recovery. EURASIP J. Adv. Signal Process. Ren Wang, Meng Wang, Jinjun Xiong
2020	—	`conf`	Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases. ECCV (23) Ren Wang, Gaoyuan Zhang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong, Meng Wang
2020	J	`jnl`	Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases. CoRR Ren Wang, Gaoyuan Zhang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong, Meng Wang
2020	Misc	`conf`	Quantized Higher-Order Tensor Recovery by Exploring Low-Dimensional Structures. ACSSC Ren Wang, Meng Wang, Jinjun Xiong
2020	J	`jnl`	RAILS: A Robust Adversarial Immune-inspired Learning System. CoRR Ren Wang, Tianqi Chen, Stephen Lindsly, Alnawaz Rehemtulla, Alfred O. Hero III, Indika Rajapakse
2020	J	`jnl`	Tensor recovery from noisy and multi-level quantized measurements. EURASIP J. Adv. Signal Process. Ren Wang, Meng Wang, Jinjun Xiong
2019	J	`jnl`	Tensor Recovery from Noisy and Multi-Level Quantized Measurements. CoRR Ren Wang, Meng Wang, Jinjun Xiong
2018	J	`jnl`	Data Recovery and Subspace Clustering From Quantized and Corrupted Measurements. IEEE J. Sel. Top. Signal Process. Ren Wang, Meng Wang, Jinjun Xiong
2018	J	`jnl`	Low-Rank Matrix Recovery From Noisy, Quantized, and Erroneous Measurements. IEEE Trans. Signal Process. Pengzhi Gao, Ren Wang, Meng Wang, Joe H. Chow
2016	Misc	`conf`	Low-rank matrix recovery from quantized and erroneous measurements: Accuracy-preserved data privatization in power grids. ACSSC Pengzhi Gao, Ren Wang, Meng Wang, Joe H. Chow