Pengrui Quan

According to our database, Pengrui Quan authored at least 16 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

TS-Skill: A Benchmark for Evaluating Analytical Skills in Time-Series Question Answering.

Liying Han, Kang Yang, Oliver Wang, Jason Wu, Pengrui Quan, Gaofeng Dong, Ozan Baris Mulayim, Sizhe Ma, Yuyang Yuan, Dezhi Hong, Mario Berges, Mani Srivastava

CoRR, May, 2026

Can LLMs Be Effective Sensor Processing Copilots?

Pengrui Quan, Xiaomin Ouyang, Jeya Vikranth Jeyakumar, Ziqi Wang, Yang Xing, Mani Srivastava

IEEE Internet Things J., 2026

2025

Spectral Predictability as a Fast Reliability Indicator for Time Series Forecasting Model Selection.

Oliver Wang, Pengrui Quan, Kang Yang, Mani Srivastava

CoRR, November, 2025

Can Time-Series Foundation Models Perform Building Energy Management Tasks?

Ozan Baris Mulayim, Pengrui Quan, Liying Han, Xiaomin Ouyang, Dezhi Hong, Mario Bergés, Mani Srivastava

CoRR, June, 2025

SensorBench.

Pengrui Quan

Dataset, June, 2025

Benchmarking Spatiotemporal Reasoning in LLMs and Reasoning Models: Capabilities and Challenges.

Pengrui Quan, Brian Wang, Kang Yang, Liying Han, Mani Srivastava

CoRR, May, 2025

Foundation Models for CPS-IoT: Opportunities and Challenges.

Ozan Baris, Yizhuo Chen, Gaofeng Dong, Liying Han, Tomoyoshi Kimura, Pengrui Quan, Ruijie Wang, Tianchen Wang, Tarek F. Abdelzaher, Mario Bergés, Paul Pu Liang, Mani Srivastava

CoRR, January, 2025

SensorBench: Benchmarking LLMs in Coding-Based Sensor Processing.

Pengrui Quan, Xiaomin Ouyang, Jeya Vikranth Jeyakumar, Ziqi Wang, Yang Xing, Mani Srivastava

Proceedings of the 26th International Workshop on Mobile Computing Systems and Applications, 2025

2024

Are Time Series Foundation Models Ready to Revolutionize Predictive Building Analytics?

Ozan Baris Mulayim, Pengrui Quan, Liying Han, Xiaomin Ouyang, Dezhi Hong, Mario Bergés, Mani Srivastava

Proceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, 2024

2023

Robust Finger Interactions with COTS Smartwatches via Unsupervised Siamese Adaptation.

Wenqiang Chen, Ziqi Wang, Pengrui Quan, Zhencan Peng, Shupei Lin, Mani B. Srivastava, Wojciech Matusik, John A. Stankovic

Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, 2023

2022

On the amplification of security and privacy risks by post-hoc explanations in machine learning models.

Pengrui Quan, Supriyo Chakraborty, Jeya Vikranth Jeyakumar, Mani B. Srivastava

CoRR, 2022

Enhancing Robustness in Federated Learning by Supervised Anomaly Detection.

Pengrui Quan, Wei-Han Lee, Mudhakar Srivatsa, Mani B. Srivastava

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Making Vibration-based On-body Interaction Robust.

Wenqiang Chen, Ziqi Wang, Pengrui Quan, Zhencan Peng, Shupei Lin, Mani B. Srivastava, John A. Stankovic

Proceedings of the 13th ACM/IEEE International Conference on Cyber-Physical Systems, 2022

2021

Towards Imperceptible Query-limited Adversarial Attacks with Perceptual Feature Fidelity Loss.

Pengrui Quan, Ruiming Guo, Mani B. Srivastava

CoRR, 2021

Efficient Optimization Methods for Extreme Similarity Learning with Nonlinear Embeddings.

Bo-Wen Yuan, Yu-Sheng Li, Pengrui Quan, Chih-Jen Lin

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

An Efficient Newton Method for Extreme Similarity Learning with Nonlinear Embeddings.

Bo-Wen Yuan, Yu-Sheng Li, Pengrui Quan, Chih-Jen Lin

CoRR, 2020