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Qilin Zhou
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2020 – today
- 2025
- [j6]Haipeng Wang
, Zhengyuan Wei
, Qilin Zhou
, Wing-Kwong Chan
:
Context-Aware Fuzzing for Robustness Enhancement of Deep Learning Models. ACM Trans. Softw. Eng. Methodol. 34(1): 8:1-8:68 (2025) - 2024
- [j5]Xiaoying Wang, Chunmei Li, Yilei Wang, Lin Yin, Qilin Zhou, Rui Zheng, Qingwu Wu, Yuqi Zhou
, Min Dai:
An intelligent prediction model of epidemic characters based on multi-feature. CAAI Trans. Intell. Technol. 9(3): 595-607 (2024) - [j4]Qilin Zhou
, Zhengyuan Wei
, Haipeng Wang
, Bo Jiang
, Wing-Kwong Chan
:
CrossCert: A Cross-Checking Detection Approach to Patch Robustness Certification for Deep Learning Models. Proc. ACM Softw. Eng. 1(FSE): 2725-2746 (2024) - [j3]Yi Guo
, Qilin Zhou, Xiu Chen, Heming Sun
:
Hardware-Efficient Multipliers With FPGA-Based Approximation for Error-Resilient Applications. IEEE Trans. Circuits Syst. I Regul. Pap. 71(12): 5919-5930 (2024) - [c6]Yi Guo, Qilin Zhou, Xiu Chen, Heming Sun:
High-Efficiency FPGA - Based Approximate Multipliers with LUT Sharing and Carry Switching. DATE 2024: 1-2 - [c5]Yi Guo, Xiu Chen, Qilin Zhou, Heming Sun:
Power-Efficient and Small-Area Approximate Multiplier Design with FPGA-Based Compressors. ISCAS 2024: 1-5 - [c4]Shuo Liu
, Jacky Keung
, Zhen Yang, Fang Liu, Qilin Zhou
, Yihan Liao
:
Delving into Parameter-Efficient Fine-Tuning in Code Change Learning: An Empirical Study. SANER 2024: 465-476 - [i5]Shuo Liu, Jacky Keung, Zhen Yang, Fang Liu, Qilin Zhou, Yihan Liao:
Delving into Parameter-Efficient Fine-Tuning in Code Change Learning: An Empirical Study. CoRR abs/2402.06247 (2024) - [i4]Qilin Zhou, Zhengyuan Wei, Haipeng Wang, Bo Jiang, Wing-Kwong Chan:
CrossCert: A Cross-Checking Detection Approach to Patch Robustness Certification for Deep Learning Models. CoRR abs/2405.07668 (2024) - [i3]Haipeng Wang, Zhengyuan Wei, Qilin Zhou, Wing-Kwong Chan:
Context-Aware Fuzzing for Robustness Enhancement of Deep Learning Models. CoRR abs/2407.12428 (2024) - [i2]Zhengyuan Wei, Haipeng Wang, Qilin Zhou, W. K. Chan:
A3Rank: Augmentation Alignment Analysis for Prioritizing Overconfident Failing Samples for Deep Learning Models. CoRR abs/2407.14114 (2024) - 2023
- [j2]Qilin Zhou, Lili Wang, Shoulin Wu:
Resource management optimisation for federated learning-enabled multi-access edge computing in internet of vehicles. Int. J. Sens. Networks 42(1): 15-28 (2023) - [c3]Qilin Zhou
, Zhengyuan Wei, Haipeng Wang
, W. K. Chan:
A Majority Invariant Approach to Patch Robustness Certification for Deep Learning Models. ASE 2023: 1790-1794 - [c2]Haipeng Wang
, Zhengyuan Wei, Qilin Zhou
, Bo Jiang, Wing Kwong Chan:
Aster: Encoding Data Augmentation Relations into Seed Test Suites for Robustness Assessment and Fuzzing of Data-Augmented Deep Learning Models. QRS 2023: 370-381 - [i1]Qilin Zhou, Zhengyuan Wei, Haipeng Wang, Wing Kwong Chan:
A Majority Invariant Approach to Patch Robustness Certification for Deep Learning Models. CoRR abs/2308.00452 (2023) - 2021
- [c1]Lili Wang, Siyao Xi, Wei Liu, Qilin Zhou:
Duty Cycle Optimization for Blood Pressure Sensors in Wireless Body Area Networks Based on Reinforcement Learning. ICPS 2021: 799-804
2010 – 2019
- 2019
- [j1]Tao Han, Zhe-Xue Li, Jialin Du, Qilin Zhou, Tao Yu, Chunyan Liu, Yuping Wang:
Ictal High-Frequency Oscillation for Lateralizing Patients With Suspected Bitemporal Epilepsy Using Wavelet Transform and Granger Causality Analysis. Frontiers Neuroinformatics 13: 44 (2019)
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last updated on 2025-03-04 22:27 CET by the dblp team
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