activity
20192025
most citedSTFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks

71 citations · 181 across the 10 of their papers we have counts for

collaborators

10 papers

cs.SI2025

SCRAG: Social Computing-Based Retrieval Augmented Generation for Community Response Forecasting in Social Media Environments

Dachun Sun, You Lyu, Jinning Li +4

This paper introduces SCRAG, a prediction framework inspired by social computing, designed to forecast community responses to real or hypothetical social media posts. SCRAG can be…

cs.AI2025

InfoMAE: Pair-Efficient Cross-Modal Alignment for Multimodal Time-Series Sensing Signals

Tomoyoshi Kimura, Xinlin Li, Osama Hanna +10

Standard multimodal self-supervised learning (SSL) algorithms regard cross-modal synchronization as implicit supervisory labels during pretraining, thus posing high requirements on…

cs.LG2024

On the Efficiency and Robustness of Vibration-based Foundation Models for IoT Sensing: A Case Study

Tomoyoshi Kimura, Jinyang Li, Tianshi Wang +9

This paper demonstrates the potential of vibration-based Foundation Models (FMs), pre-trained with unlabeled sensing data, to improve the robustness of run-time inference in (a cla…

cs.LG2024★ 7 cited

SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach

Tianshi Wang, Jinyang Li, Ruijie Wang +7

This paper introduces SudokuSens, a generative framework for automated generation of training data in machine-learning-based Internet-of-Things (IoT) applications, such that the ge…

cs.LG2022★ 70 cited

Self-Contrastive Learning based Semi-Supervised Radio Modulation Classification

Dongxin Liu, Peng Wang, Tianshi Wang +1

This paper presents a semi-supervised learning framework that is new in being designed for automatic modulation classification (AMC). By carefully utilizing unlabeled signal data w…

cs.SI2021

DyDiff-VAE: A Dynamic Variational Framework for Information Diffusion Prediction

Ruijie Wang, Zijie Huang, Shengzhong Liu +7

This paper describes a novel diffusion model, DyDiff-VAE, for information diffusion prediction on social media. Given the initial content and a sequence of forwarding users, DyDiff…

cs.LG2020★ 1 cited

Scheduling Real-time Deep Learning Services as Imprecise Computations

Shuochao Yao, Yifan Hao, Yiran Zhao +6

The paper presents an efficient real-time scheduling algorithm for intelligent real-time edge services, defined as those that perform machine intelligence tasks, such as voice reco…

cs.SI2020★ 31 cited

paper2repo: GitHub Repository Recommendation for Academic Papers

Huajie Shao, Dachun Sun, Jiahao Wu +7

GitHub has become a popular social application platform, where a large number of users post their open source projects. In particular, an increasing number of researchers release r…

cs.SI2020★ 1 cited

Hierarchical Overlapping Belief Estimation by Structured Matrix Factorization

Chaoqi Yang, Jinyang Li, Ruijie Wang +6

Much work on social media opinion polarization focuses on a flat categorization of stances (or orthogonal beliefs) of different communities from media traces. We extend in this wor…

cs.LG2019★ 71 cited

STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks

Shuochao Yao, Ailing Piao, Wenjun Jiang +10

Recent advances in deep learning motivate the use of deep neural networks in Internet-of-Things (IoT) applications. These networks are modelled after signal processing in the human…