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Works (15)
2026 article
Efficient privacy-preserving sparse matrix-vector multiplication using homomorphic encryption
Gao, Y., Quan, G., Wen, W., Piersall, S., Lou, Q., & Wang, L. (2026, January 31). Information Sciences.
2025 article
A 10.60 μW 150 GOPS Mixed-Bit-Width Sparse CNN Accelerator for Life-Threatening Ventricular Arrhythmia Detection
Qin, Y., Jia, Z., Yan, Z., Mok, J., Yung, M., Liu, Y., … Shi, Y. (2025, January 20).
2025 article
Attacking the spike: On the security of spiking neural networks to adversarial examples
Xu, N., Mahmood, K., Fang, H., Rathbun, E., Ding, C., & Wen, W. (2025, September 12). Neurocomputing.
2025 article
Invited Paper: Pushing SIMD Efficiency in Homomorphic Encryption for Machine Learning via Pattern-Aware Ciphertext Encoding
Ran, R., Gong, Z., Li, Z., & Wen, W. (2025, October 26).
2025 article
gHyPart: GPU-friendly End-to-End Hypergraph Partitioner
Wu, Z., Zhao, H., Liu, H., Wen, W., & Li, J. (2025, January 10). ACM Transactions on Architecture and Code Optimization.
2024 article
AdaPI: Facilitating DNN Model Adaptivity for Efficient Private Inference in Edge Computing
Zhou, T., Zhao, J., Luo, Y., Wen, W., Ding, C., & Xu, X. (2024, October 27).
2024 article
Ants: Attacking Spatial Temporal Graph Learning Networks Structurally
Ran, R., Liu, Q., Xu, N., Sui, N., & Wen, W. (2024, July 2). 2024 IEEE 48TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE, COMPSAC 2024, pp. 1023–1028.
2024 article
Secure and efficient general matrix multiplication on cloud using homomorphic encryption
Gao, Y., Quan, G., Homsi, S., Wen, W., & Wang, L. (2024, August 26). The Journal of Supercomputing.
2024 article
Special Session: Sustainable Deployment of Deep Neural Networks on Non-Volatile Compute-in-Memory Accelerators
Qin, Y., Yan, Z., Wen, W., Hu, X. S., & Shi, Y. (2024, September 29).
2024 article
TSB: Tiny Shared Block for Efficient DNN Deployment on NVCIM Accelerators
Qin, Y., Yan, Z., Pan, Z., Wen, W., Hu, X. S., & Shi, Y. (2024, October 27).
2023 article
AQ2PNN: Enabling Two-party Privacy-Preserving Deep Neural Network Inference with Adaptive Quantization
Luo, Y., Xu, N., Peng, H., Wang, C., Duan, S., Mahmood, K., … Xu, X. (2023, October 28).
2023 article
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference
Peng, H., Huang, S., Zhou, T., Luo, Y., Wang, C., Wang, Z., … Ding, C. (2023, October 1).
2023 article
Endurance-Aware Deep Neural Network Real-Time Scheduling on ReRAM Accelerators
Sha, S., Yang, X., Szczecinski, T. M., Whitman, D., Wen, W., & Quan, G. (2023, December 13).
2023 article
Improving Realistic Worst-Case Performance of NVCiM DNN Accelerators Through Training with Right-Censored Gaussian Noise
Yan, Z., Qin, Y., Wen, W., Hu, X. S., & Shi, Y. (2023, October 28).
2023 article
Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration
Huang, S., Fang, H., Mahmood, K., Lei, B., Xu, N., Lei, B., … Ding, C. (2023, July 9). 2023 60TH ACM/IEEE DESIGN AUTOMATION CONFERENCE, DAC.