papers

Publications (5)

eess.IV2023

A Generic Fundus Image Enhancement Network Boosted by Frequency Self-supervised Representation Learning

Heng Li, Haofeng Liu, Huazhu Fu +5

Fundus photography is prone to suffer from image quality degradation that impacts clinical examination performed by ophthalmologists or intelligent systems. Though enhancement algo…

cs.SD2020

INT8 Winograd Acceleration for Conv1D Equipped ASR Models Deployed on Mobile Devices

Yiwu Yao, Yuchao Li, Chengyu Wang +8

The intensive computation of Automatic Speech Recognition (ASR) models obstructs them from being deployed on mobile devices. In this paper, we present a novel quantized Winograd op…

cs.CR2025

UniASM: Binary Code Similarity Detection without Fine-tuning

Yeming Gu, Hui Shu, Fei Kang +1

Binary code similarity detection (BCSD) is widely used in various binary analysis tasks such as vulnerability search, malware detection, clone detection, and patch analysis. Recent…

cs.LG2022

Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning

Chengfei Lv, Chaoyue Niu, Renjie Gu +17

To break the bottlenecks of mainstream cloud-based machine learning (ML) paradigm, we adopt device-cloud collaborative ML and build the first end-to-end and general-purpose system,…

cs.SE2022

spotFuzzer: Static Instrument and Fuzzing Windows COTs

Yeming Gu, Hui Shu, Rongkuan Ma +2

The security research on Windows has received little attention in the academic circle. Most of the new methods are usually designed for Linux system, and are difficult to transplan…