Wenjie Ruan

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 95

Top Venues

Publications

Tianle Zhang, Jiaxu Liu, Yanghao Zhang, Ronghui Mu, Wenjie Ruan
DeepGRE: Global Robustness Evaluation of Deep Neural Networks. ICASSP (2024)
Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Qiang Ni
3DVerifier: efficient robustness verification for 3D point cloud models. Mach. Learn. 113 (4) (2024)
Xiaowei Huang, Wenjie Ruan, Wei Huang, Gaojie Jin, Yi Dong, Changshun Wu, Saddek Bensalem, Ronghui Mu, Yi Qi, Xingyu Zhao, Kaiwen Cai, Yanghao Zhang, Sihao Wu, Peipei Xu, Dengyu Wu, André Freitas, Mustafa A. Mustafa
A survey of safety and trustworthiness of large language models through the lens of verification and validation. Artif. Intell. Rev. 57 (7) (2024)
Xiangyu Yin, Wenjie Ruan, Jonathan E. Fieldsend
DIMBA: discretely masked black-box attack in single object tracking. Mach. Learn. 113 (4) (2024)
Ronghui Mu, Leandro Soriano Marcolino, Yanghao Zhang, Tianle Zhang, Xiaowei Huang, Wenjie Ruan
Reward Certification for Policy Smoothed Reinforcement Learning. AAAI (2024)
Zhen Chen, Fu Wang, Ronghui Mu, Peipei Xu, Xiaowei Huang, Wenjie Ruan
Nrat: towards adversarial training with inherent label noise. Mach. Learn. 113 (6) (2024)
Xiangyu Yin, Wenjie Ruan
Boosting Adversarial Training via Fisher-Rao Norm-based Regularization. CoRR (2024)
Ronghui Mu, Leandro Soriano Marcolino, Qiang Ni, Wenjie Ruan
Enhancing robustness in video recognition models: Sparse adversarial attacks and beyond. Neural Networks 171 (2024)
Xiangyu Yin, Sihao Wu, Jiaxu Liu, Meng Fang, Xingyu Zhao, Xiaowei Huang, Wenjie Ruan
Representation-Based Robustness in Goal-Conditioned Reinforcement Learning. AAAI (2024)
Saddek Bensalem, Xiaowei Huang, Wenjie Ruan, Qiyi Tang, Changshun Wu, Xingyu Zhao
Bridging formal methods and machine learning with model checking and global optimisation. J. Log. Algebraic Methods Program. 137 (2024)
Yi Dong, Ronghui Mu, Gaojie Jin, Yi Qi, Jinwei Hu, Xingyu Zhao, Jie Meng, Wenjie Ruan, Xiaowei Huang
Building Guardrails for Large Language Models. CoRR (2024)
Yanghao Zhang, Tianle Zhang, Ronghui Mu, Xiaowei Huang, Wenjie Ruan
Towards Fairness-Aware Adversarial Learning. CoRR (2024)
Yi Zhang, Yun Tang, Wenjie Ruan, Xiaowei Huang, Siddartha Khastgir, Paul A. Jennings, Xingyu Zhao
ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models against Stochastic Perturbation. CoRR (2024)
Siqi Sun, Wenjie Ruan
TextVerifier: Robustness Verification for Textual Classifiers with Certifiable Guarantees. ACL (Findings) (2023)
Fu Wang, Zeyu Fu, Yanghao Zhang, Wenjie Ruan
Self-adaptive Adversarial Training for Robust Medical Segmentation. MICCAI (3) (2023)
Chi Zhang, Wenjie Ruan, Peipei Xu
Reachability Analysis of Neural Network Control Systems. AAAI (2023)
Yuanying Cai, Chuheng Zhang, Wei Shen, Xuyun Zhang, Wenjie Ruan, Longbo Huang
RePreM: Representation Pre-training with Masked Model for Reinforcement Learning. CoRR (2023)
Han Wu, Syed Yunas, Sareh Rowlands, Wenjie Ruan, Johan Wahlström
Adversarial Detection: Attacking Object Detection in Real Time. IV (2023)
Liantao Ma, Chaohe Zhang, Junyi Gao, Xianfeng Jiao, Zhihao Yu, Xinyu Ma, Yasha Wang, Wen Tang, Xinju Zhao, Wenjie Ruan, Tao Wang
Mortality Prediction with Adaptive Feature Importance Recalibration for Peritoneal Dialysis Patients: a deep-learning-based study on a real-world longitudinal follow-up dataset. CoRR (2023)
Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Gaojie Jin, Qiang Ni
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning. AAAI (2023)
Yuanying Cai, Chuheng Zhang, Wei Shen, Xuyun Zhang, Wenjie Ruan, Longbo Huang
RePreM: Representation Pre-training with Masked Model for Reinforcement Learning. AAAI (2023)
Zheng Wang, Wenjie Ruan, Xiangyu Yin
: A tool for understanding adversarial robustness of Vision Transformers. Softw. Impacts 15 (2023)
Han Wu, Syed Yunas, Sareh Rowlands, Wenjie Ruan, Johan Wahlström
Adversarial Driving: Attacking End-to-End Autonomous Driving. IV (2023)
Ronghui Mu, Leandro Soriano Marcolino, Tianle Zhang, Yanghao Zhang, Xiaowei Huang, Wenjie Ruan
Reward Certification for Policy Smoothed Reinforcement Learning. CoRR (2023)
Liantao Ma, Chaohe Zhang, Junyi Gao, Xianfeng Jiao, Zhihao Yu, Yinghao Zhu, Tianlong Wang, Xinyu Ma, Yasha Wang, Wen Tang, Xinju Zhao, Wenjie Ruan, Tao Wang
Mortality prediction with adaptive feature importance recalibration for peritoneal dialysis patients. Patterns 4 (12) (2023)
Xiangyu Yin, Sihao Wu, Jiaxu Liu, Meng Fang, Xingyu Zhao, Xiaowei Huang, Wenjie Ruan
ReRoGCRL: Representation-based Robustness in Goal-Conditioned Reinforcement Learning. CoRR (2023)
Chi Zhang, Wenjie Ruan, Fu Wang, Peipei Xu, Geyong Min, Xiaowei Huang
Model-Agnostic Reachability Analysis on Deep Neural Networks. PAKDD (1) (2023)
Fu Wang, Peipei Xu, Wenjie Ruan, Xiaowei Huang
Towards Verifying the Geometric Robustness of Large-scale Neural Networks. CoRR (2023)
Peipei Xu, Fu Wang, Wenjie Ruan, Chi Zhang, Xiaowei Huang
Sora: Scalable Black-Box Reachability Analyser on Neural Networks. ICASSP (2023)
Chi Zhang, Wenjie Ruan, Fu Wang, Peipei Xu, Geyong Min, Xiaowei Huang
Model-Agnostic Reachability Analysis on Deep Neural Networks. CoRR (2023)
Fu Wang, Peipei Xu, Wenjie Ruan, Xiaowei Huang
Towards Verifying the Geometric Robustness of Large-Scale Neural Networks. AAAI (2023)
Xiaowei Huang, Wenjie Ruan, Wei Huang, Gaojie Jin, Yi Dong, Changshun Wu, Saddek Bensalem, Ronghui Mu, Yi Qi, Xingyu Zhao, Kaiwen Cai, Yanghao Zhang, Sihao Wu, Peipei Xu, Dengyu Wu, André Freitas, Mustafa A. Mustafa
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation. CoRR (2023)
Chi Zhang, Wenjie Ruan, Peipei Xu
Reachability Analysis of Neural Network Control Systems. CoRR (2023)
Han Wu, Wenjie Ruan, Jiangtao Wang, Dingchang Zheng, Bei Liu, Yayuan Geng, Xiangfei Chai, Jian Chen, Kunwei Li, Shaolin Li, Sumi Helal
Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task. IEEE Trans. Artif. Intell. 4 (4) (2023)
Yanghao Zhang, Wenjie Ruan, Fu Wang, Xiaowei Huang
Generalizing universal adversarial perturbations for deep neural networks. Mach. Learn. 112 (5) (2023)
Tianle Zhang, Wenjie Ruan, Jonathan E. Fieldsend
PRoA: A Probabilistic Robustness Assessment against Functional Perturbations. CoRR (2022)
Zheng Wang, Wenjie Ruan
Understanding Adversarial Robustness of Vision Transformers via Cauchy Problem. CoRR (2022)
Xiangyu Yin, Wenjie Ruan, Jonathan E. Fieldsend
DIMBA: Discretely Masked Black-Box Attack in Single Object Tracking. CoRR (2022)
Tianle Zhang, Wenjie Ruan, Jonathan E. Fieldsend
PRoA: A Probabilistic Robustness Assessment Against Functional Perturbations. ECML/PKDD (3) (2022)
Xin Gao, Zhengye Zhu, Xu Chu, Yasha Wang, Wenjie Ruan, Junfeng Zhao
Enhancing Robust Text Classification via Category Description. ICDM (2022)
Wei Huang, Youcheng Sun, Xingyu Zhao, James Sharp, Wenjie Ruan, Jie Meng, Xiaowei Huang
Coverage-Guided Testing for Recurrent Neural Networks. IEEE Trans. Reliab. 71 (3) (2022)
Han Wu, Syed Yunas, Sareh Rowlands, Wenjie Ruan, Johan Wahlström
Adversarial Detection: Attacking Object Detection in Real Time. CoRR (2022)
Zheng Wang, Wenjie Ruan
Understanding Adversarial Robustness of Vision Transformers via Cauchy Problem. ECML/PKDD (3) (2022)
Zhenzhong Zhang, Chunxiang Guo, Wenjie Ruan, Wei Wang, Peng Zhou
An intelligent stochastic optimization approach for stochastic order allocation problems with high-dimensional order uncertainties. Comput. Ind. Eng. 167 (2022)
Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Gaojie Jin, Qiang Ni
Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning. CoRR (2022)
Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Qiang Ni
3DVerifier: Efficient Robustness Verification for 3D Point Cloud Models. CoRR (2022)
Xiaowei Huang, Wenjie Ruan, Qiyi Tang, Xingyu Zhao
Bridging Formal Methods and Machine Learning with Global Optimisation. ICFEM (2022)
Han Wu, Wenjie Ruan
Adversarial Driving: Attacking End-to-End Autonomous Driving Systems. CoRR (2021)
Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Qiang Ni
Sparse Adversarial Video Attacks with Spatial Transformations. CoRR (2021)
Chenwang Zheng, Dan Tao, Jiangtao Wang, Lei Cui, Wenjie Ruan, Shui Yu
Memory Augmented Hierarchical Attention Network for Next Point-of-Interest Recommendation. IEEE Trans. Comput. Soc. Syst. 8 (2) (2021)
Fu Wang, Yanghao Zhang, Yanbin Zheng, Wenjie Ruan
Gradient-Guided Dynamic Efficient Adversarial Training. CoRR (2021)
Wenjie Ruan, Xinping Yi, Xiaowei Huang
Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications. CoRR (2021)
Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Qiang Ni
Sparse Adversarial Video Attacks with Spatial Transformations. BMVC (2021)
Nicolas Berthier, Youcheng Sun, Wei Huang, Yanghao Zhang, Wenjie Ruan, Xiaowei Huang
Tutorials on Testing Neural Networks. CoRR (2021)
Yanghao Zhang, Fu Wang, Wenjie Ruan
Fooling Object Detectors: Adversarial Attacks by Half-Neighbor Masks. CoRR (2021)
Wenjie Ruan, Xinping Yi, Xiaowei Huang
Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications. CIKM (2021)
Dawei Chen, Jiangtao Wang, Wenjie Ruan, Qiang Ni, Sumi Helal
Enabling Cost-Effective Population Health Monitoring By Exploiting Spatiotemporal Correlation: An Empirical Study. ACM Trans. Comput. Heal. 2 (2) (2021)
Liantao Ma, Xinyu Ma, Junyi Gao, Xianfeng Jiao, Zhihao Yu, Chaohe Zhang, Wenjie Ruan, Yasha Wang, Wen Tang, Jiangtao Wang
Distilling Knowledge from Publicly Available Online EMR Data to Emerging Epidemic for Prognosis. WWW (2021)
Min Wu, Matthew Wicker, Wenjie Ruan, Xiaowei Huang, Marta Kwiatkowska
A game-based approximate verification of deep neural networks with provable guarantees. Theor. Comput. Sci. 807 (2020)
Yanghao Zhang, Wenjie Ruan, Fu Wang, Xiaowei Huang
Generalizing Universal Adversarial Attacks Beyond Additive Perturbations. ICDM (2020)
Yanghao Zhang, Wenjie Ruan, Fu Wang, Xiaowei Huang
Generalizing Universal Adversarial Attacks Beyond Additive Perturbations. CoRR (2020)
Peipei Xu, Wenjie Ruan, Xiaowei Huang
Towards the Quantification of Safety Risks in Deep Neural Networks. CoRR (2020)
Liantao Ma, Junyi Gao, Yasha Wang, Chaohe Zhang, Jiangtao Wang, Wenjie Ruan, Wen Tang, Xin Gao, Xinyu Ma
AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration. AAAI (2020)
Han Wu, Wenjie Ruan, Jiangtao Wang, Dingchang Zheng, Shaolin Li, Jian Chen, Kunwei Li, Xiangfei Chai, Sumi Helal
Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task. CoRR (2020)
Shuohan Liu, Yue Cao, Wenjie Ruan, Qiang Ni, Michele Nati, Chakkaphong Suthaputchakun
EV Charging Recommendation Concerning Preemptive Service and Charging Urgency Policy. VTC Fall (2020)
Xiaowei Huang, Daniel Kroening, Wenjie Ruan, James Sharp, Youcheng Sun, Emese Thamo, Min Wu, Xinping Yi
A survey of safety and trustworthiness of deep neural networks: Verification, testing, adversarial attack and defence, and interpretability. Comput. Sci. Rev. 37 (2020)
Liantao Ma, Xinyu Ma, Junyi Gao, Chaohe Zhang, Zhihao Yu, Xianfeng Jiao, Wenjie Ruan, Yasha Wang, Wen Tang, Jiangtao Wang
CovidCare: Transferring Knowledge from Existing EMR to Emerging Epidemic for Interpretable Prognosis. CoRR (2020)
Liantao Ma, Chaohe Zhang, Yasha Wang, Wenjie Ruan, Jiangtao Wang, Wen Tang, Xinyu Ma, Xin Gao, Junyi Gao
ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context. AAAI (2020)
Wenjie Ruan, Min Wu, Youcheng Sun, Xiaowei Huang, Daniel Kroening, Marta Kwiatkowska
Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the Hamming Distance. IJCAI (2019)
Liantao Ma, Chaohe Zhang, Yasha Wang, Wenjie Ruan, Jiantao Wang, Wen Tang, Xinyu Ma, Xin Gao, Junyi Gao
ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context. CoRR (2019)
Min Wu, Tyron Louw, Morteza Lahijanian, Wenjie Ruan, Xiaowei Huang, Natasha Merat, Marta Kwiatkowska
Gaze-based Intention Anticipation over Driving Manoeuvres in Semi-Autonomous Vehicles. IROS (2019)
Liantao Ma, Junyi Gao, Yasha Wang, Chaohe Zhang, Jiangtao Wang, Wenjie Ruan, Wen Tang, Xin Gao, Xinyu Ma
AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration. CoRR (2019)
Wei Emma Zhang, Quan Z. Sheng, Jey Han Lau, Ermyas Abebe, Wenjie Ruan
Duplicate Detection in Programming Question Answering Communities. ACM Trans. Internet Techn. 18 (3) (2018)
Youcheng Sun, Min Wu, Wenjie Ruan, Xiaowei Huang, Marta Kwiatkowska, Daniel Kroening
Concolic Testing for Deep Neural Networks. CoRR (2018)
Wenjie Ruan, Xiaowei Huang, Marta Kwiatkowska
Reachability Analysis of Deep Neural Networks with Provable Guarantees. CoRR (2018)
Wenjie Ruan, Quan Z. Sheng, Peipei Xu, Lei Yang, Tao Gu, Longfei Shangguan
Making Sense of Doppler Effect for Multi-Modal Hand Motion Detection. IEEE Trans. Mob. Comput. 17 (9) (2018)
Wenjie Ruan, Quan Z. Sheng, Lina Yao, Xue Li, Nickolas J. G. Falkner, Lei Yang
Device-free human localization and tracking with UHF passive RFID tags: A data-driven approach. J. Netw. Comput. Appl. 104 (2018)
Youcheng Sun, Min Wu, Wenjie Ruan, Xiaowei Huang, Marta Kwiatkowska, Daniel Kroening
Concolic testing for deep neural networks. ASE (2018)
Wenjie Ruan, Xiaowei Huang, Marta Kwiatkowska
Reachability Analysis of Deep Neural Networks with Provable Guarantees. IJCAI (2018)
Lina Yao, Quan Z. Sheng, Xue Li, Tao Gu, Mingkui Tan, Xianzhi Wang, Sen Wang, Wenjie Ruan
Compressive Representation for Device-Free Activity Recognition with Passive RFID Signal Strength. IEEE Trans. Mob. Comput. 17 (2) (2018)
Wei Emma Zhang, Quan Z. Sheng, Zhejun Tang, Wenjie Ruan
Related or Duplicate: Distinguishing Similar CQA Questions via Convolutional Neural Networks. SIGIR (2018)
Wenjie Ruan, Min Wu, Youcheng Sun, Xiaowei Huang, Daniel Kroening, Marta Kwiatkowska
Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for L0 Norm. CoRR (2018)
Min Wu, Matthew Wicker, Wenjie Ruan, Xiaowei Huang, Marta Kwiatkowska
A Game-Based Approximate Verification of Deep Neural Networks with Provable Guarantees. CoRR (2018)
Feng Zhou, Hui Peng, Wenjie Ruan, Dan Wang, Mingyue Liu, Yunfeng Gu, Li Li
Cubic-RBF-ARX modeling and model-based optimal setting control in head and tail stages of cut tobacco drying process. Neural Comput. Appl. 30 (4) (2018)
Abdullah Alfazi, Quan Z. Sheng, Ali Babar, Wenjie Ruan, Yongrui Qin
Toward Unified Cloud Service Discovery for Enhanced Service Identification. ASSRI (2017)
Peipei Xu, Wenjie Ruan, Quan Z. Sheng, Tao Gu, Lina Yao
Interpolating the Missing Values for Multi-Dimensional Spatial-Temporal Sensor Data: A Tensor SVD Approach. MobiQuitous (2017)
Wenjie Ruan, Peipei Xu, Quan Z. Sheng, Nickolas J. G. Falkner, Xue Li, Wei Emma Zhang
Recovering Missing Values from Corrupted Spatio-Temporal Sensory Data via Robust Low-Rank Tensor Completion. DASFAA (1) (2017)
Wenjie Ruan, Leon Chea, Quan Z. Sheng, Lina Yao
Recognizing Daily Living Activity Using Embedded Sensors in Smartphones: A Data-Driven Approach. ADMA (2016)
Wenjie Ruan, Quan Z. Sheng, Lina Yao, Nguyen Khoi Tran, Yu Chieh Yang
PreventDark: Automatically detecting and preventing problematic use of smartphones in darkness. PerCom Workshops (2016)
Wenjie Ruan, Quan Z. Sheng, Lina Yao, Tao Gu, Michele Ruta, Longfei Shangguan
Device-free indoor localization and tracking through Human-Object Interactions. WoWMoM (2016)
Wenjie Ruan, Peipei Xu, Quan Z. Sheng, Nguyen Khoi Tran, Nickolas J. G. Falkner, Xue Li, Wei Emma Zhang
When Sensor Meets Tensor: Filling Missing Sensor Values Through a Tensor Approach. CIKM (2016)
Wenjie Ruan
Unobtrusive human localization and activity recognition for supporting independent living of the elderly. PerCom Workshops (2016)
Wenjie Ruan, Quan Z. Sheng, Peipei Xu, Nguyen Khoi Tran, Nickolas J. G. Falkner, Xue Li, Wei Emma Zhang
Forecasting Seasonal Time Series Using Weighted Gradient RBF Network based Autoregressive Model. CIKM (2016)
Wenjie Ruan, Quan Z. Sheng, Lina Yao, Lei Yang, Tao Gu
HOI-Loc: Towards unobstructive human localization with probabilistic multi-sensor fusion. PerCom Workshops (2016)
Wenjie Ruan, Quan Z. Sheng, Lei Yang, Tao Gu, Peipei Xu, Longfei Shangguan
AudioGest: enabling fine-grained hand gesture detection by decoding echo signal. UbiComp (2016)
Lina Yao, Xianzhi Wang, Quan Z. Sheng, Wenjie Ruan, Wei Zhang
Service Recommendation for Mashup Composition with Implicit Correlation Regularization. ICWS (2015)
Lina Yao, Quan Z. Sheng, Wenjie Ruan, Xue Li, Sen Wang, Zhi Yang
Unobtrusive Posture Recognition via Online Learning of Multi-dimensional RFID Received Signal Strength. ICPADS (2015)
Lina Yao, Quan Z. Sheng, Xue Li, Sen Wang, Tao Gu, Wenjie Ruan, Wan Zou
Freedom: Online Activity Recognition via Dictionary-Based Sparse Representation of RFID Sensing Data. ICDM (2015)
Wenjie Ruan, Lina Yao, Quan Z. Sheng, Nickolas J. G. Falkner, Xue Li, Tao Gu
TagFall: Towards Unobstructive Fine-Grained Fall Detection based on UHF Passive RFID Tags. MobiQuitous (2015)
Lina Yao, Quan Z. Sheng, Wenjie Ruan, Tao Gu, Xue Li, Nick Falkner, Zhi Yang
RF-Care: Device-Free Posture Recognition for Elderly People Using A Passive RFID Tag Array. EAI Endorsed Trans. Ambient Syst. 2 (6) (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Wenjie Ruan