Wenjie Ruan

Orcid: 0000-0002-8311-8738

Affiliations:
  • University of Exeter, UK


According to our database1, Wenjie Ruan authored at least 88 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
A survey of safety and trustworthiness of large language models through the lens of verification and validation.
Artif. Intell. Rev., July, 2024

Nrat: towards adversarial training with inherent label noise.
Mach. Learn., June, 2024

DIMBA: discretely masked black-box attack in single object tracking.
Mach. Learn., April, 2024

3DVerifier: efficient robustness verification for 3D point cloud models.
Mach. Learn., April, 2024

Bridging formal methods and machine learning with model checking and global optimisation.
J. Log. Algebraic Methods Program., February, 2024

Enhancing robustness in video recognition models: Sparse adversarial attacks and beyond.
Neural Networks, 2024

Trustworthy Text-to-Image Diffusion Models: A Timely and Focused Survey.
CoRR, 2024

ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models against Stochastic Perturbation.
CoRR, 2024

Building Guardrails for Large Language Models.
CoRR, 2024

PRASS: Probabilistic Risk-averse Robust Learning with Stochastic Search.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Position: Building Guardrails for Large Language Models Requires Systematic Design.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

DeepGRE: Global Robustness Evaluation of Deep Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2024

CROWD: Certified Robustness via Weight Distribution for Smoothed Classifiers against Backdoor Attack.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Towards Fairness-Aware Adversarial Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Boosting Adversarial Training via Fisher-Rao Norm-Based Regularization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Representation-Based Robustness in Goal-Conditioned Reinforcement Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Reward Certification for Policy Smoothed Reinforcement Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Mortality prediction with adaptive feature importance recalibration for peritoneal dialysis patients.
Patterns, December, 2023

Generalizing universal adversarial perturbations for deep neural networks.
Mach. Learn., May, 2023

<i>ODE4ViTRobustness</i>: A tool for understanding adversarial robustness of Vision Transformers.
Softw. Impacts, March, 2023

Machine Learning Safety
Artificial Intelligence: Foundations, Theory, and Algorithms, Springer, ISBN: 978-981-19-6813-6, 2023

Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task.
IEEE Trans. Artif. Intell., 2023

ReRoGCRL: Representation-based Robustness in Goal-Conditioned Reinforcement Learning.
CoRR, 2023

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

Model-Agnostic Reachability Analysis on Deep Neural Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Self-adaptive Adversarial Training for Robust Medical Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Adversarial Detection: Attacking Object Detection in Real Time.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Adversarial Driving: Attacking End-to-End Autonomous Driving.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Sora: Scalable Black-Box Reachability Analyser on Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2023

TextVerifier: Robustness Verification for Textual Classifiers with Certifiable Guarantees.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Reachability Analysis of Neural Network Control Systems.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Towards Verifying the Geometric Robustness of Large-Scale Neural Networks.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

RePreM: Representation Pre-training with Masked Model for Reinforcement Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Coverage-Guided Testing for Recurrent Neural Networks.
IEEE Trans. Reliab., 2022

An intelligent stochastic optimization approach for stochastic order allocation problems with high-dimensional order uncertainties.
Comput. Ind. Eng., 2022

PRoA: A Probabilistic Robustness Assessment Against Functional Perturbations.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Understanding Adversarial Robustness of Vision Transformers via Cauchy Problem.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Bridging Formal Methods and Machine Learning with Global Optimisation.
Proceedings of the Formal Methods and Software Engineering, 2022

Enhancing Robust Text Classification via Category Description.
Proceedings of the IEEE International Conference on Data Mining, 2022

2021
Memory Augmented Hierarchical Attention Network for Next Point-of-Interest Recommendation.
IEEE Trans. Comput. Soc. Syst., 2021

Enabling Cost-Effective Population Health Monitoring By Exploiting Spatiotemporal Correlation: An Empirical Study.
ACM Trans. Comput. Heal., 2021

Tutorials on Testing Neural Networks.
CoRR, 2021

Adversarial Driving: Attacking End-to-End Autonomous Driving Systems.
CoRR, 2021

Gradient-Guided Dynamic Efficient Adversarial Training.
CoRR, 2021

Fooling Object Detectors: Adversarial Attacks by Half-Neighbor Masks.
CoRR, 2021

Distilling Knowledge from Publicly Available Online EMR Data to Emerging Epidemic for Prognosis.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Sparse Adversarial Video Attacks with Spatial Transformations.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
A game-based approximate verification of deep neural networks with provable guarantees.
Theor. Comput. Sci., 2020

A survey of safety and trustworthiness of deep neural networks: Verification, testing, adversarial attack and defence, and interpretability.
Comput. Sci. Rev., 2020

Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task.
CoRR, 2020

Towards the Quantification of Safety Risks in Deep Neural Networks.
CoRR, 2020

CovidCare: Transferring Knowledge from Existing EMR to Emerging Epidemic for Interpretable Prognosis.
CoRR, 2020

EV Charging Recommendation Concerning Preemptive Service and Charging Urgency Policy.
Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020

Generalizing Universal Adversarial Attacks Beyond Additive Perturbations.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context.
CoRR, 2019

Gaze-based Intention Anticipation over Driving Manoeuvres in Semi-Autonomous Vehicles.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the Hamming Distance.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Duplicate Detection in Programming Question Answering Communities.
ACM Trans. Internet Techn., 2018

Compressive Representation for Device-Free Activity Recognition with Passive RFID Signal Strength.
IEEE Trans. Mob. Comput., 2018

Making Sense of Doppler Effect for Multi-Modal Hand Motion Detection.
IEEE Trans. Mob. Comput., 2018

Cubic-RBF-ARX modeling and model-based optimal setting control in head and tail stages of cut tobacco drying process.
Neural Comput. Appl., 2018

Device-free human localization and tracking with UHF passive RFID tags: A data-driven approach.
J. Netw. Comput. Appl., 2018

Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for L0 Norm.
CoRR, 2018

Related or Duplicate: Distinguishing Similar CQA Questions via Convolutional Neural Networks.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Concolic testing for deep neural networks.
Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 2018

Reachability Analysis of Deep Neural Networks with Provable Guarantees.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Interpolating the Missing Values for Multi-Dimensional Spatial-Temporal Sensor Data: A Tensor SVD Approach.
Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2017

Recovering Missing Values from Corrupted Spatio-Temporal Sensory Data via Robust Low-Rank Tensor Completion.
Proceedings of the Database Systems for Advanced Applications, 2017

Toward Unified Cloud Service Discovery for Enhanced Service Identification.
Proceedings of the Service Research and Innovation - 5th and 6th Australasian Symposium, 2017

2016
Device-free indoor localization and tracking through Human-Object Interactions.
Proceedings of the 17th IEEE International Symposium on A World of Wireless, 2016

HOI-Loc: Towards unobstructive human localization with probabilistic multi-sensor fusion.
Proceedings of the 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, 2016

PreventDark: Automatically detecting and preventing problematic use of smartphones in darkness.
Proceedings of the 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, 2016

Unobtrusive human localization and activity recognition for supporting independent living of the elderly.
Proceedings of the 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, 2016

AudioGest: enabling fine-grained hand gesture detection by decoding echo signal.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

When Sensor Meets Tensor: Filling Missing Sensor Values Through a Tensor Approach.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Forecasting Seasonal Time Series Using Weighted Gradient RBF Network based Autoregressive Model.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Recognizing Daily Living Activity Using Embedded Sensors in Smartphones: A Data-Driven Approach.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

2015
RF-Care: Device-Free Posture Recognition for Elderly People Using A Passive RFID Tag Array.
EAI Endorsed Trans. Ambient Syst., 2015

TagFall: Towards Unobstructive Fine-Grained Fall Detection based on UHF Passive RFID Tags.
Proceedings of the 12th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2015

Service Recommendation for Mashup Composition with Implicit Correlation Regularization.
Proceedings of the 2015 IEEE International Conference on Web Services, 2015

Unobtrusive Posture Recognition via Online Learning of Multi-dimensional RFID Received Signal Strength.
Proceedings of the 21st IEEE International Conference on Parallel and Distributed Systems, 2015

Freedom: Online Activity Recognition via Dictionary-Based Sparse Representation of RFID Sensing Data.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014
TagTrack: device-free localization and tracking using passive RFID tags.
Proceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, 2014

Exploring Tag-Free RFID-Based Passive Localization and Tracking via Learning-Based Probabilistic Approaches.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014


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