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Pengrui Quan
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Conference and Workshop Papers
- 2023
- [c4]Wenqiang Chen, Ziqi Wang, Pengrui Quan, Zhencan Peng, Shupei Lin, Mani B. Srivastava, Wojciech Matusik, John A. Stankovic:
Robust Finger Interactions with COTS Smartwatches via Unsupervised Siamese Adaptation. UIST 2023: 25:1-25:14 - 2022
- [c3]Wenqiang Chen, Ziqi Wang, Pengrui Quan, Zhencan Peng, Shupei Lin, Mani B. Srivastava, John A. Stankovic:
Making Vibration-based On-body Interaction Robust. ICCPS 2022: 300-301 - [c2]Pengrui Quan, Wei-Han Lee, Mudhakar Srivatsa, Mani B. Srivastava:
Enhancing Robustness in Federated Learning by Supervised Anomaly Detection. ICPR 2022: 996-1003 - 2021
- [c1]Bo-Wen Yuan, Yu-Sheng Li, Pengrui Quan, Chih-Jen Lin:
Efficient Optimization Methods for Extreme Similarity Learning with Nonlinear Embeddings. KDD 2021: 2093-2103
Informal and Other Publications
- 2022
- [i3]Pengrui Quan, Supriyo Chakraborty, Jeya Vikranth Jeyakumar, Mani B. Srivastava:
On the amplification of security and privacy risks by post-hoc explanations in machine learning models. CoRR abs/2206.14004 (2022) - 2021
- [i2]Pengrui Quan, Ruiming Guo, Mani B. Srivastava:
Towards Imperceptible Query-limited Adversarial Attacks with Perceptual Feature Fidelity Loss. CoRR abs/2102.00449 (2021) - 2020
- [i1]Bo-Wen Yuan, Yu-Sheng Li, Pengrui Quan, Chih-Jen Lin:
An Efficient Newton Method for Extreme Similarity Learning with Nonlinear Embeddings. CoRR abs/2010.13511 (2020)
Coauthor Index
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