Jiangnan Xia

Orcid: 0009-0005-6231-4827

According to our database1, Jiangnan Xia authored at least 18 papers between 2013 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
FPGA-Accelerated Distributed Sensing System for Real-Time Industrial Laser Absorption Spectroscopy Tomography at Kilo-Hertz.
IEEE Trans. Ind. Informatics, February, 2024

Multi-view Bayesian spatio-temporal graph neural networks for reliable traffic flow prediction.
Int. J. Mach. Learn. Cybern., January, 2024

2023
A Spatially Progressive Neural Network for Locally/Globally Prioritized TDLAS Tomography.
IEEE Trans. Ind. Informatics, October, 2023

MBA-STNet: Bayes-Enhanced Discriminative Multi-Task Learning for Flow Prediction.
IEEE Trans. Knowl. Data Eng., July, 2023

Hybrid Model-Driven Spectroscopic Network for Rapid Retrieval of Turbine Exhaust Temperature.
IEEE Trans. Instrum. Meas., 2023

Bayes-enhanced Multi-view Attention Networks for Robust POI Recommendation.
CoRR, 2023

What Matters in Training a GPT4-Style Language Model with Multimodal Inputs?
CoRR, 2023

Railway Switch Machine Fault Diagnosis Considering Sensor Abnormality Scenarios.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Miniature Modular Sensor for Chemical Species Tomography with Enhanced Spatial Resolution.
Proceedings of the IEEE International Conference on Imaging Systems and Techniques, 2023

2022
Cascade integrator comb filter-aided calibration-free Wavelength Modulation Spectroscopy Tomography.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2022

2020
StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding.
Proceedings of the 8th International Conference on Learning Representations, 2020

Generating Well-Formed Answers by Machine Reading with Stochastic Selector Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
IDST at TREC 2019 Deep Learning Track: Deep Cascade Ranking with Generation-based Document Expansion and Pre-trained Language Modeling.
Proceedings of the Twenty-Eighth Text REtrieval Conference, 2019

Incorporating External Knowledge into Machine Reading for Generative Question Answering.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Incorporating Relation Knowledge into Commonsense Reading Comprehension with Multi-task Learning.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

A Deep Cascade Model for Multi-Document Reading Comprehension.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Jiangnan at SemEval-2018 Task 11: Deep Neural Network with Attention Method for Machine Comprehension Task.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

2013
EigenCrime: An Algorithm for Criminal Network Mining Based on Trusted Computing.
Proceedings of the 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things (iThings) and IEEE Cyber, 2013


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