Qianlong Wang

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2025
Causal Reasoning with Large Language Models - A ChatGPT Case Study.
Proceedings of the Artificial Intelligence in HCI, 2025

CoreEval: Automatically Building Contamination-Resilient Datasets with Real-World Knowledge toward Reliable LLM Evaluation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Error Comparison Optimization for Large Language Models on Aspect-Based Sentiment Analysis.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Blockchain-Empowered Federated Learning Through Model and Feature Calibration.
IEEE Internet Things J., February, 2024

Learning for multiple purposes: A Q-learning enhanced hybrid metaheuristic for parallel drone scheduling traveling salesman problem.
Comput. Ind. Eng., January, 2024

Advancing multi-port container stowage efficiency: A novel DQN-LNS algorithmic solution.
Knowl. Based Syst., 2024

Survey on Multi-Task Learning in Smart Transportation.
IEEE Access, 2024

2023
Survey of Distributed and Decentralized IoT Securities: Approaches Using Deep Learning and Blockchain Technology.
Future Internet, May, 2023

Robust Multiagent Reinforcement Learning for UAV Systems: Countering Byzantine Attacks.
Inf., 2023

Tropical Cyclone Intensity Forecasting Using Deep Learning.
Proceedings of the International Conference on Machine Learning and Applications, 2023

2022
Energy-Efficient Computation Offloading in Mobile Edge Computing Systems With Uncertainties.
IEEE Trans. Wirel. Commun., 2022

HyCA: A Hybrid Computing Architecture for Fault-Tolerant Deep Learning.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

A Fairness-Aware Peer-to-Peer Decentralized Learning Framework with Heterogeneous Devices.
Future Internet, 2022

Energy-Efficient Computation Offloading in MobileEdge Computing Systems with Uncertainties.
CoRR, 2022

Design and Control of a Transverse Flux Linear Switched Reluctance Machine for Rail Transit Application.
IEEE Access, 2022

2021
ECONOMY: Point Clouds-Based Energy-Efficient Autonomous Navigation for UAVs.
IEEE Trans. Netw. Sci. Eng., 2021

STEP: A Spatio-Temporal Fine-Granular User Traffic Prediction System for Cellular Networks.
IEEE Trans. Mob. Comput., 2021

Deep Q-Network-Based Feature Selection for Multisourced Data Cleaning.
IEEE Internet Things J., 2021

Toward Combatting COVID-19: A Risk Assessment System.
IEEE Internet Things J., 2021

Control of a Cascaded Permanent Magnet Switched Reluctance Generator for Automobile Generation Application.
IEEE Access, 2021

Weak Signal Detection in 5G+ Systems: A Distributed Deep Learning Framework.
Proceedings of the MobiHoc '21: The Twenty-second International Symposium on Theory, 2021

Resisting Distributed Backdoor Attacks in Federated Learning: A Dynamic Norm Clipping Approach.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Channel State Information Prediction for 5G Wireless Communications: A Deep Learning Approach.
IEEE Trans. Netw. Sci. Eng., 2020

Unsupervised Anomaly Detection in IoT Systems for Smart Cities.
IEEE Trans. Netw. Sci. Eng., 2020

Earthquake Prediction Based on Spatio-Temporal Data Mining: An LSTM Network Approach.
IEEE Trans. Emerg. Top. Comput., 2020

Community Detection in Online Social Networks: A Differentially Private and Parsimonious Approach.
IEEE Trans. Comput. Soc. Syst., 2020

Spectrum Availability Prediction for Cognitive Radio Communications: A DCG Approach.
IEEE Trans. Cogn. Commun. Netw., 2020

AI at the Edge: Blockchain-Empowered Secure Multiparty Learning With Heterogeneous Models.
IEEE Internet Things J., 2020

TrafficChain: A Blockchain-Based Secure and Privacy-Preserving Traffic Map.
IEEE Access, 2020

A Hybrid Computing Architecture for Fault-tolerant Deep Learning Accelerators.
Proceedings of the 38th IEEE International Conference on Computer Design, 2020

2019
Learning to Learn Gradient Aggregation by Gradient Descent.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Quantized Adversarial Training: An Iterative Quantized Local Search Approach.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

PerRNN: Personalized Recurrent Neural Networks for Acceleration-Based Human Activity Recognition.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

2018
Critical areas detection and vehicle speed estimation system towards intersection-related driving behavior analysis.
Proceedings of the IEEE International Conference on Consumer Electronics, 2018

Online Power Control for 5G Wireless Communications: A Deep Q-Network Approach.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Multidimensional Time Series Anomaly Detection: A GRU-based Gaussian Mixture Variational Autoencoder Approach.
Proceedings of The 10th Asian Conference on Machine Learning, 2018

2017
DeepSpeedometer: Vehicle speed estimation from accelerometer and gyroscope using LSTM model.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

A Latent Space Understandable Generative Adversarial Network: SelfExGAN.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

2016
Design and control of switched reluctance motor drive for electric vehicles.
Proceedings of the 14th International Conference on Control, 2016


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