Ictal High-Frequency Oscillation for Lateralizing Patients With Suspected Bitemporal Epilepsy Using Wavelet Transform and Granger Causality Analysis. - Tao Han; Zhe-Xue Li; Jialin Du; Qilin Zhou; Tao Yu; Chunyan Liu; Yuping Wang (Frontiers Neuroinformatics, 2019)

Duty Cycle Optimization for Blood Pressure Sensors in Wireless Body Area Networks Based on Reinforcement Learning. - Lili Wang; Siyao Xi; Wei Liu; Qilin Zhou (ICPS, 2021)

A Majority Invariant Approach to Patch Robustness Certification for Deep Learning Models. - Qilin Zhou; Zhengyuan Wei; Haipeng Wang 005; W. K. Chan 001 (ASE, 2023)

Aster: Encoding Data Augmentation Relations into Seed Test Suites for Robustness Assessment and Fuzzing of Data-Augmented Deep Learning Models. - Haipeng Wang 005; Zhengyuan Wei; Qilin Zhou; Bo Jiang 001; Wing Kwong Chan (QRS, 2023)

Resource management optimisation for federated learning-enabled multi-access edge computing in internet of vehicles. - Qilin Zhou; Lili Wang; Shoulin Wu (Int. J. Sens. Networks, 2023)

High-Efficiency FPGA - Based Approximate Multipliers with LUT Sharing and Carry Switching. - Yi Guo; Qilin Zhou; Xiu Chen; Heming Sun (DATE, 2024)

Power-Efficient and Small-Area Approximate Multiplier Design with FPGA-Based Compressors. - Yi Guo 010; Xiu Chen; Qilin Zhou; Heming Sun (ISCAS, 2024)

Delving into Parameter-Efficient Fine-Tuning in Code Change Learning: An Empirical Study. - Shuo Liu; Jacky Keung; Zhen Yang 022; Fang Liu 032; Qilin Zhou; Yihan Liao (SANER, 2024)

An intelligent prediction model of epidemic characters based on multi-feature. - Xiaoying Wang; Chunmei Li; Yilei Wang; Lin Yin; Qilin Zhou; Rui Zheng; Qingwu Wu; Yuqi Zhou; Min Dai (CAAI Trans. Intell. Technol., 2024)

Delving into Parameter-Efficient Fine-Tuning in Code Change Learning: An Empirical Study. - Shuo Liu; Jacky Keung; Zhen Yang; Fang Liu 032; Qilin Zhou; Yihan Liao (CoRR, 2024)

A3Rank: Augmentation Alignment Analysis for Prioritizing Overconfident Failing Samples for Deep Learning Models. - Zhengyuan Wei; Haipeng Wang 005; Qilin Zhou; W. K. Chan 001 (CoRR, 2024)

CrossCert: A Cross-Checking Detection Approach to Patch Robustness Certification for Deep Learning Models. - Qilin Zhou; Zhengyuan Wei; Haipeng Wang 005; Bo Jiang 001; Wing-Kwong Chan (Proc. ACM Softw. Eng., 2024)

Hardware-Efficient Multipliers With FPGA-Based Approximation for Error-Resilient Applications. - Yi Guo; Qilin Zhou; Xiu Chen; Heming Sun (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

Context-Aware Fuzzing for Robustness Enhancement of Deep Learning Models. - Haipeng Wang 005; Zhengyuan Wei; Qilin Zhou; Wing-Kwong Chan (ACM Trans. Softw. Eng. Methodol., 2025)

Classification of Major Depressive Disorder Using Graph Attention Mechanism with Multi-Site rs-fMRI Data. - Shiyue Su; Yicai Ning; Zijian Guo; Weifeng Yang; Manyun Zhu; Qilin Zhou; Xuan He (Neuroinformatics, 2025)

Scalable and Precise Patch Robustness Certification for Deep Learning Models with Top-k Predictions. - Qilin Zhou; Haipeng Wang 005; Zhengyuan Wei; Wing-Kwong Chan (CoRR, 2025)