Weixi Gu

Orcid: 0009-0005-5986-5716

According to our database1, Weixi Gu authored at least 54 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Spatial-temporal graph neural network traffic prediction based load balancing with reinforcement learning in cellular networks.
Inf. Fusion, March, 2024

Network simulation tools for unmanned aerial vehicle communications: A survey.
Int. J. Commun. Syst., 2024

ML-based pre-deployment SDN performance prediction with neural network boosting regression.
Expert Syst. Appl., 2024

An Empirical Study on Large Language Models in Accuracy and Robustness under Chinese Industrial Scenarios.
CoRR, 2024

When game theory meets satellite communication networks: A survey.
Comput. Commun., 2024

Poster Abstract: On the Accuracy and Robustness of Large Language Models in Chinese Industrial Scenarios.
Proceedings of the 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks, 2024

2023
Graph Neural Network for Traffic Forecasting: The Research Progress.
ISPRS Int. J. Geo Inf., 2023

Decomposed Human Motion Prior for Video Pose Estimation via Adversarial Training.
CoRR, 2023

Drought Level Prediction Based on Meteorological Data and Deep Learning.
Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023

Satellite Internet of Things for Smart Agriculture Applications: A Case Study of Computer Vision.
Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023

Making Wines Smarter: Evidence from an Interpretable Learning Paradigm.
Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023

Application of LSTM Networks in the Temporal Analysis and Prediction of Earth Pressure Balance Shield Parameter.
Proceedings of the 5th International Conference on Robotics, 2023

RLTrace: Synthesizing High-Quality System Call Traces for OS Fuzz Testing.
Proceedings of the Information Security - 26th International Conference, 2023

Rise of Community-driven Communication Network Research.
Proceedings of the 9th International Conference on Communication and Information Processing, 2023

Matching Games in Satellite-Terrestrial Integrated Networks: Who to Match and How to Match?
Proceedings of the 9th International Conference on Communication and Information Processing, 2023

Machine Learning-based Multi-Class Traffic Management for Smart Grid Communication Network.
Proceedings of the Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023

DiffUFlow: Robust Fine-grained Urban Flow Inference with Denoising Diffusion Model.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
User Mapping Strategy in Multi-CDN Streaming: A Data-Driven Approach.
IEEE Internet Things J., 2022

Research on Algorithm of big data sensor anomaly diagnosis.
Proceedings of the World Automation Congress, 2022

Research and analysis of sensor synergy based on Artificial Intelligence.
Proceedings of the World Automation Congress, 2022

Poster Abstract: Representation Learning from Multimodal Sensor Data with Maximally Correlated Autoencoders.
Proceedings of the 21st ACM/IEEE International Conference on Information Processing in Sensor Networks, 2022

2020
Mining Regional Mobility Patterns for Urban Dynamic Analytics.
Mob. Networks Appl., 2020

CausalBG: Causal Recurrent Neural Network for the Blood Glucose Inference With IoT Platform.
IEEE Internet Things J., 2020

APPLE: a new compression scheme for bitmap indexes: poster abstract.
Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020

An incentive mechanism design for resource collection in crowdsourced CDN: poster abstract.
Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020

Relay strategy in online mobile games: a data-driven approach.
Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

Collaborative edge-network content replication: a joint user preference and mobility approach.
Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

Anomaly detection for mobile devices in industrial internet.
Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

2019
Causal feature selection for physical sensing data: a case study on power events prediction.
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

Identifying causal patterns from mobile sensing data: a case study on blood glucose inference.
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

2018
Design Automation for Smart Building Systems.
Proc. IEEE, 2018

Multimodal Emotion Recognition by extracting common and modality-specific information.
Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, SenSys 2018, 2018

Speech Emotion Recognition via Attention-based DNN from Multi-Task Learning.
Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, SenSys 2018, 2018

Real-Time Emotion Detection via E-See.
Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, SenSys 2018, 2018

Attention-based LSTM-CNNs For Time-series Classification.
Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems, SenSys 2018, 2018

Joint Mobility Pattern Mining with Urban Region Partitions.
Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2018

WiFi-Based Human Identification via Convex Tensor Shapelet Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Non-Parametric Outliers Detection in Multiple Time Series A Case Study: Power Grid Data Analysis.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
SugarMate: Non-intrusive Blood Glucose Monitoring with Smartphones.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

Predicting Blood Glucose Dynamics with Multi-time-series Deep Learning.
Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems, 2017

FreeDetector: Device-Free Occupancy Detection with Commodity WiFi.
Proceedings of the 2017 IEEE International Conference on Sensing, 2017

BikeMate: Bike Riding Behavior Monitoring with Smartphones.
Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2017

Poster: WiFi-based Device-Free Human Activity Recognition via Automatic Representation Learning.
Proceedings of the 23rd Annual International Conference on Mobile Computing and Networking, 2017

Non-intrusive blood glucose monitor by multi-task deep learning: PhD forum abstract.
Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2017

Multiple Kernel Representation Learning for WiFi-Based Human Activity Recognition.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Group recommendation: by mining users' check-in behaviors.
Proceedings of the Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017

BikeSafe: bicycle behavior monitoring via smartphones.
Proceedings of the Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017

FreeCount: Device-Free Crowd Counting with Commodity WiFi.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016
Sleep Hunter: Towards Fine Grained Sleep Stage Tracking with Smartphones.
IEEE Trans. Mob. Comput., 2016

MetroEye: Smart Tracking Your Metro Trips Underground.
Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing, 2016

MetroEye: towards fine-grained passenger tracking underground.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016

2014
Sherlock: Micro-Environment Sensing for Smartphones.
IEEE Trans. Parallel Distributed Syst., 2014

ToAuth: Towards Automatic Near Field Authentication for Smartphones.
Proceedings of the 13th IEEE International Conference on Trust, 2014

Intelligent sleep stage mining service with smartphones.
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014


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