Jiangnan Xia

According to our database, Jiangnan Xia authored at least 21 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Bayes-Enhanced Multi-View Attention Networks for Robust POI Recommendation.

Jiangnan Xia, Yu Yang, Senzhang Wang, Hongzhi Yin, Jiannong Cao, Philip S. Yu

IEEE Trans. Knowl. Data Eng., July, 2024

FPGA-Accelerated Distributed Sensing System for Real-Time Industrial Laser Absorption Spectroscopy Tomography at Kilo-Hertz.

Jiangnan Xia, Godwin Enemali, Rui Zhang, Yalei Fu, Hugh McCann, Bin Zhou, Chang Liu

IEEE Trans. Ind. Informatics, February, 2024

Multi-view Bayesian spatio-temporal graph neural networks for reliable traffic flow prediction.

Jiangnan Xia, Senzhang Wang, Xiang Wang, Min Xia, Kun Xie, Jiannong Cao

Int. J. Mach. Learn. Cybern., January, 2024

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

Yan Zeng, Hanbo Zhang, Jiani Zheng, Jiangnan Xia, Guoqiang Wei, Yang Wei, Yuchen Zhang, Tao Kong, Ruihua Song

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

A Portable Data Acquisition System for Online Wavelength Modulation Spectroscopy.

Yikai Xia, Jiangnan Xia, Di Xiao, Yuan Chen, Godwin Enemali, Chang Liu

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

STS2ANet: Spatio-Temporal Synchronized Sliding Attention Network for Accurate Cross-Day Origin-Destination Prediction.

Haoli Wang, Jiangnan Xia, Yu Yang, Senzhang Wang, Jiannong Cao

Proceedings of the Database Systems for Advanced Applications, 2024

2023

A Spatially Progressive Neural Network for Locally/Globally Prioritized TDLAS Tomography.

Jingjing Si, Gengchen Fu, Xin Liu, Yinbo Cheng, Rui Zhang, Jiangnan Xia, Yalei Fu, Godwin Enemali, Chang Liu

IEEE Trans. Ind. Informatics, October, 2023

MBA-STNet: Bayes-Enhanced Discriminative Multi-Task Learning for Flow Prediction.

Hao Miao, Jiaxing Shen, Jiannong Cao, Jiangnan Xia, Senzhang Wang

IEEE Trans. Knowl. Data Eng., July, 2023

Hybrid Model-Driven Spectroscopic Network for Rapid Retrieval of Turbine Exhaust Temperature.

Yalei Fu, Rui Zhang, Jiangnan Xia, Andrew Gough, Stuart Clark, Abhishek Upadhyay, Godwin Enemali, Ian Armstrong, Ihab Ahmed, Mohamed Pourkashanian, Paul Wright, Krikor B. Ozanyan, Michael Lengden, Walter Johnstone, Nick Polydorides, Hugh McCann, Chang Liu

IEEE Trans. Instrum. Meas., 2023

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

Yan Zeng, Hanbo Zhang, Jiani Zheng, Jiangnan Xia, Guoqiang Wei, Yang Wei, Yuchen Zhang, Tao Kong

CoRR, 2023

Railway Switch Machine Fault Diagnosis Considering Sensor Abnormality Scenarios.

Xiaoxi Hu, Xiaohan Zhang, Zhaorong Wang, Yunbo Chen, Jiangnan Xia, Yawen Du, Yi Li

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Miniature Modular Sensor for Chemical Species Tomography with Enhanced Spatial Resolution.

Rui Zhang, Jiangnan Xia, Hugh McCann, Chang Liu, Ihab Ahmed, Mohamed Pourkashanian, Andrew Gough, Ian Armstrong, Michael Lengden, Walter Johnstone

Proceedings of the IEEE International Conference on Imaging Systems and Techniques, 2023

2022

Cascade integrator comb filter-aided calibration-free Wavelength Modulation Spectroscopy Tomography.

Jiangnan Xia, Godwin Enemali, Rui Zhang, Chang Liu

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2022

2020

StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding.

Wei Wang, Bin Bi, Ming Yan, Chen Wu, Jiangnan Xia, Zuyi Bao, Liwei Peng, Luo Si

Proceedings of the 8th International Conference on Learning Representations, 2020

Generating Well-Formed Answers by Machine Reading with Stochastic Selector Networks.

Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia, Chenliang Li

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.

Ming Yan, Chenliang Li, Chen Wu, Bin Bi, Wei Wang, Jiangnan Xia, Luo Si

Proceedings of the Twenty-Eighth Text REtrieval Conference, 2019

Incorporating External Knowledge into Machine Reading for Generative Question Answering.

Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia, Chenliang Li

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.

Jiangnan Xia, Chen Wu, Ming Yan

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

A Deep Cascade Model for Multi-Document Reading Comprehension.

Ming Yan, Jiangnan Xia, Chen Wu, Bin Bi, Zhongzhou Zhao, Ji Zhang, Luo Si, Rui Wang, Wei Wang, Haiqing Chen

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.

Jiangnan Xia

Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

2013

EigenCrime: An Algorithm for Criminal Network Mining Based on Trusted Computing.

Shujun Cai, Jiangnan Xia, Keyi Sun, Zhen Wang

Proceedings of the 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things (iThings) and IEEE Cyber, 2013