Qianlong Wang

Orcid: 0000-0002-3011-0580

According to our database1, Qianlong Wang authored at least 52 papers between 2016 and 2024.

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

Timeline

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On csauthors.net:

Bibliography

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

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

2023
Multi-perspective contrastive learning framework guided by sememe knowledge and label information for sarcasm detection.
Int. J. Mach. Learn. Cybern., December, 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

An Unsupervised Method for Sarcasm Detection with Prompts.
Proceedings of the Cognitive Computing - ICCC 2023, 2023

Reducing Spurious Correlations in Aspect-based Sentiment Analysis with Explanation from Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

In-context Learning for Few-shot Multimodal Named Entity Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 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

Improving sequence labeling with labeled clue sentences.
Knowl. Based Syst., 2022

Sememe knowledge and auxiliary information enhanced approach for sarcasm detection.
Inf. Process. Manag., 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

Masking and Generation: An Unsupervised Method for Sarcasm Detection.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Interactive Fusion Network with Recurrent Attention for Multimodal Aspect-based Sentiment Analysis.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

Frequently Asked Question Pair Generation for Rule and Regulation Document.
Proceedings of the Artificial Intelligence and Mobile Services - AIMS 2022, 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

Label-Embedding Bi-directional Attentive Model for Multi-label Text Classification.
Neural Process. Lett., 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

Summary-aware attention for social media short text abstractive summarization.
Neurocomputing, 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

Progressive Self-Training with Discriminator for Aspect Term Extraction.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 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

Event Extraction via Extracting Triggers and Arguments Simultaneously and Matching.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

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

Sequence Prediction Model for Aspect-Level Sentiment Classification.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Label Correction Model for Aspect-based Sentiment Analysis.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Paraphrase Generation with Collaboration between the Forward and the Backward Decoder.
Proceedings of the International Joint Conference on Neural Networks, 2019

Abstractive Summarization with Keyword and Generated Word Attention.
Proceedings of the International Joint Conference on Neural Networks, 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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