activity
20172022
most citedSteganoGAN: High Capacity Image Steganography with GANs

78 citations · 162 across the 7 of their papers we have counts for

collaborators

9 papers

cs.SE202211 cited

HatCUP: Hybrid Analysis and Attention based Just-In-Time Comment Updating

Hongquan Zhu, Xincheng He, Lei Xu

When changing code, developers sometimes neglect updating the related comments, bringing inconsistent or outdated comments. These comments increase the cost of program understandin…

cs.CV202215 cited

D^2ETR: Decoder-Only DETR with Computationally Efficient Cross-Scale Attention

Junyu Lin, Xiaofeng Mao, Yuefeng Chen +3

DETR is the first fully end-to-end detector that predicts a final set of predictions without post-processing. However, it suffers from problems such as low performance and slow con…

eess.SP20216 cited

A Photonic-Circuits-Inspired Compact Network: Toward Real-Time Wireless Signal Classification at the Edge

Hsuan-Tung Peng, Joshua Lederman, Lei Xu +5

Machine learning (ML) methods are ubiquitous in wireless communication systems and have proven powerful for applications including radio-frequency (RF) fingerprinting, automatic mo…

cs.MM2019

Robust Invisible Video Watermarking with Attention

Kevin Alex Zhang, Lei Xu, Alfredo Cuesta-Infante +1

The goal of video watermarking is to embed a message within a video file in a way such that it minimally impacts the viewing experience but can be recovered even if the video is re…

cs.LG20191 cited

MLFriend: Interactive Prediction Task Recommendation for Event-Driven Time-Series Data

Lei Xu, Shubhra Kanti Karmaker Santu, Kalyan Veeramachaneni

Most automation in machine learning focuses on model selection and hyper parameter tuning, and many overlook the challenge of automatically defining predictive tasks. We still heav…

cs.LG20196 cited

Revisit Lmser and its further development based on convolutional layers

Wenjing Huang, Shikui Tu, Lei Xu

Proposed in 1991, Least Mean Square Error Reconstruction for self-organizing network, shortly Lmser, was a further development of the traditional auto-encoder (AE) by folding the a…