Wujie Wen

Works (7)

Updated: December 14th, 2024 05:01

2024 article

<i>Ants</i>: Attacking Spatial Temporal Graph Learning Networks Structurally

2024 IEEE 48TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE, COMPSAC 2024, pp. 1023–1028.

By: R. Ran n, Q. Liu *, N. Xu *, N. Su  n & W. Wen n

author keywords: Adversarial Attack; Spatial-Temporal; Graph Neural Network
Sources: Web Of Science, NC State University Libraries
Added: December 9, 2024

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). JOURNAL OF SUPERCOMPUTING.

By: Y. Gao *, G. Quan *, S. Homsi*, W. Wen n & L. Wang *

author keywords: Homomorphic encryption; Privacy protection; Matrix multiplication; Cloud computing
Source: Web Of Science
Added: September 9, 2024

2023 article

AQ2PNN: Enabling Two-party Privacy-Preserving Deep Neural Network Inference with Adaptive Quantization

56TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON MICROARCHITECTURE, MICRO 2023, pp. 628–640.

By: Y. Luo *, N. Xu *, H. Peng *, C. Wang *, S. Duan *, K. Mahmood *, W. Wen n, C. Ding *, X. Xu *

author keywords: Privacy-Preserving machine learning; Deep learning; FPGA; Quantization; Two-party computing
TL;DR: AQ2PNN is introduced, an end-to-end framework that effectively employs adaptive quantization schemes to develop high-performance 2PC-DNNs on FPGAs and introduces an innovative 2PC-ReLU method to replace Yao’s Garbled Circuits. (via Semantic Scholar)
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Source: Web Of Science
Added: March 25, 2024

2023 article

AutoReP: Automatic ReLU Replacement for Fast Private Network Inference

2023 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION, ICCV, pp. 5155–5165.

By: H. Peng, S. Huang, T. Zhou*, Y. Luo *, C. Wang *, Z. Wang, J. Zhao, . Xie ...

Source: Web Of Science
Added: April 15, 2024

2023 article

Endurance-Aware Deep Neural Network Real-Time Scheduling on ReRAM Accelerators

2023 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE, CSCI 2023, pp. 404–410.

By: S. Sha*, X. Yang *, T. Szczecinski*, D. Whitman*, W. Wen n & G. Quart

author keywords: Resistive random-access memory (ReRAM); deep neural network (DNN); real-time; reliability; and streaming applications
Source: Web Of Science
Added: September 9, 2024

2023 article

Improving Realistic Worst-Case Performance of NVCiM DNN Accelerators through Training with Right-Censored Gaussian Noise

2023 IEEE/ACM INTERNATIONAL CONFERENCE ON COMPUTER AIDED DESIGN, ICCAD.

By: Z. Yan *, Y. Qin*, W. Wen n, X. Hu * & Y. Shi *

TL;DR: It is shown that surprisinglyGaussian noise is not the best option, contrary to what has been taken for granted in the literature, and a right-censored Gaussian noise significantly improves the k-th percentile performance of DNNs. (via Semantic Scholar)
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Source: Web Of Science
Added: January 16, 2024

2023 article

Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration

2023 60TH ACM/IEEE DESIGN AUTOMATION CONFERENCE, DAC.

By: S. Huang, H. Fang, K. Mahmood, B. Lei, N. Xu*, B. Lei, Y. Sun *, D. Xu n, W. Wen*, C. Ding

author keywords: spiking neural network; neural network pruning; sparse training; neuromorphic computing
TL;DR: This framework is computational efficient and trains a model from scratch with dynamic sparsity without sacrificing model fidelity, and designs a new drop-and-grow strategy with decreasing number of non-zero weights, to maintain extreme high sparsity and high accuracy. (via Semantic Scholar)
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7. Affordable and Clean Energy (OpenAlex)
Source: Web Of Science
Added: November 6, 2023

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