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Peipei Xu

A survey of safety and trustworthiness of large language models through the lens of verification and validation
2024 · Xiaowei Huang, Wenjie Ruan, et al. · Artificial Intelligence Review · 166
AudioGest
2016 · Wenjie Ruan, Quan Z. Sheng, et al. · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · 152
Making Sense of Doppler Effect for Multi-Modal Hand Motion Detection
2017 · Wenjie Ruan, Quan Z. Sheng, et al. · IEEE Transactions on Mobile Computing · 16
Reachability Analysis of Neural Network Control Systems
2023 · Chi Zhang, Wenjie Ruan, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 15
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Quantifying safety risks of deep neural networks
2022 · Peipei Xu, Wenjie Ruan, et al. · Complex & Intelligent Systems · 15
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Recovering Missing Values from Corrupted Spatio-Temporal Sensory Data via Robust Low-Rank Tensor Completion
2017 · Wenjie Ruan, Peipei Xu, et al. · Lecture notes in computer science · 15
Interpolating the Missing Values for Multi-Dimensional Spatial-Temporal Sensor Data
2017 · Peipei Xu, Wenjie Ruan, et al. · EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous) · 14
Towards Verifying the Geometric Robustness of Large-Scale Neural Networks
2023 · Fu Wang, Peipei Xu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 12
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Nrat: towards adversarial training with inherent label noise
2024 · Zhen Chen, Fu Wang, et al. · Machine Learning · 7
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When Sensor Meets Tensor
2016 · Wenjie Ruan, Peipei Xu, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 5
Sora: Scalable Black-Box Reachability Analyser on Neural Networks
2023 · Peipei Xu, Fu Wang, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 4
Model-Agnostic Reachability Analysis on Deep Neural Networks
2023 · Chi Zhang, Wenjie Ruan, et al. · Lecture notes in computer science · 3
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Interpolating the Missing Values for Multi-Dimensional Spatial-Temporal Sensor Data: A Tensor SVD Approach
2018 · Peipei Xu, Wenjie Ruan, et al. · EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous) · 3
Forecasting Seasonal Time Series Using Weighted Gradient RBF Network based Autoregressive Model
2016 · Wenjie Ruan, Quan Z. Sheng, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 3
Towards the Quantification of Safety Risks in Deep Neural Networks
2020 · Xu, Peipei, Ruan, Wenjie, et al. · arXiv (Cornell University) · 2
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National and subnational burden of mental disorders in China, 1990–2023: a systematic analysis of the Global Burden of Disease Study 2023
2026 · Yanlong Li, Xuequan Zhu, et al. · The Lancet Regional Health - Western Pacific · 1
When LLMs become ubiquitous: a comprehensive survey of adversarial vulnerabilities in LLM-driven pervasive intelligent systems
2026 · Zhiyu Yi, Zhiguo Yang, et al. · CCF Transactions on Pervasive Computing and Interaction
PACO: Stabilizing Vision Embeddings Along Local Paths for Robust Vision-Language Models
2026 · Qihang Tang, Jiacheng Pi, et al. · Lecture notes in computer science
Mitigating Object Hallucination in MLLMs with Global-to-Local Visual Attention Correction
2026 · Xingxing Huang, Zhiguo Yang, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Verification on out-of-distribution detectors under natural perturbations
2025 · Chi Zhang, Zhen Chen, et al. · Machine Learning
Deep learning and its adversarial robustness:A brief introduction
2022 · Wang, Fu, Zhang, Chi, et al. · Discovery Research Portal (University of Dundee)
Works count: 23
Citation count: 433
H-index: 8
I10-index: 8
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