Jiangnan Xia

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 23

Top Topics

Language Modeling

Spatial Resolution

Scene Reconstruction

Top Venues

IEEE Trans. Ind. Informatics

Publications

Jiangnan Xia, Senzhang Wang, Xiang Wang, Min Xia, Kun Xie, Jiannong Cao
Multi-view Bayesian spatio-temporal graph neural networks for reliable traffic flow prediction. Int. J. Mach. Learn. Cybern. 15 (1) (2024)
Jiangnan Xia, Godwin Enemali, Rui Zhang, Yalei Fu, Hugh McCann, Bin Zhou, Chang Liu
FPGA-Accelerated Distributed Sensing System for Real-Time Industrial Laser Absorption Spectroscopy Tomography at Kilo-Hertz. IEEE Trans. Ind. Informatics 20 (2) (2024)
Yan Zeng, Hanbo Zhang, Jiani Zheng, Jiangnan Xia, Guoqiang Wei, Yang Wei, Yuchen Zhang, Tao Kong, Ruihua Song
What Matters in Training a GPT4-Style Language Model with Multimodal Inputs? NAACL-HLT (2024)
Jiangnan Xia, Yu Yang, Senzhang Wang, Hongzhi Yin, Jiannong Cao, Philip S. Yu
Bayes-Enhanced Multi-View Attention Networks for Robust POI Recommendation. IEEE Trans. Knowl. Data Eng. 36 (7) (2024)
Yikai Xia, Jiangnan Xia, Di Xiao, Yuan Chen, Godwin Enemali, Chang Liu
A Portable Data Acquisition System for Online Wavelength Modulation Spectroscopy. I2MTC (2024)
Jingjing Si, Gengchen Fu, Xin Liu, Yinbo Cheng, Rui Zhang, Jiangnan Xia, Yalei Fu, Godwin Enemali, Chang Liu
A Spatially Progressive Neural Network for Locally/Globally Prioritized TDLAS Tomography. IEEE Trans. Ind. Informatics 19 (10) (2023)
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
Hybrid Model-Driven Spectroscopic Network for Rapid Retrieval of Turbine Exhaust Temperature. IEEE Trans. Instrum. Meas. 72 (2023)
Xiaoxi Hu, Xiaohan Zhang, Zhaorong Wang, Yunbo Chen, Jiangnan Xia, Yawen Du, Yi Li
Railway Switch Machine Fault Diagnosis Considering Sensor Abnormality Scenarios. ITSC (2023)
Hao Miao, Jiaxing Shen, Jiannong Cao, Jiangnan Xia, Senzhang Wang
MBA-STNet: Bayes-Enhanced Discriminative Multi-Task Learning for Flow Prediction. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Jiangnan Xia, Yu Yang, Senzhang Wang, Hongzhi Yin, Jiannong Cao, Philip S. Yu
Bayes-enhanced Multi-view Attention Networks for Robust POI Recommendation. CoRR (2023)
Rui Zhang, Jiangnan Xia, Hugh McCann, Chang Liu, Ihab Ahmed, Mohamed Pourkashanian, Andrew Gough, Ian Armstrong, Michael Lengden, Walter Johnstone
Miniature Modular Sensor for Chemical Species Tomography with Enhanced Spatial Resolution. IST (2023)
Yan Zeng, Hanbo Zhang, Jiani Zheng, Jiangnan Xia, Guoqiang Wei, Yang Wei, Yuchen Zhang, Tao Kong
What Matters in Training a GPT4-Style Language Model with Multimodal Inputs? CoRR (2023)
Jiangnan Xia, Godwin Enemali, Rui Zhang, Chang Liu
Cascade integrator comb filter-aided calibration-free Wavelength Modulation Spectroscopy Tomography. I2MTC (2022)
Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia, Chenliang Li
Generating Well-Formed Answers by Machine Reading with Stochastic Selector Networks. AAAI (2020)
Wei Wang, Bin Bi, Ming Yan, Chen Wu, Jiangnan Xia, Zuyi Bao, Liwei Peng, Luo Si
StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding. ICLR (2020)
Jiangnan Xia, Chen Wu, Ming Yan
Incorporating Relation Knowledge into Commonsense Reading Comprehension with Multi-task Learning. CoRR (2019)
Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia, Chenliang Li
Incorporating External Knowledge into Machine Reading for Generative Question Answering. EMNLP/IJCNLP (1) (2019)
Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia, Chenliang Li
Incorporating External Knowledge into Machine Reading for Generative Question Answering. CoRR (2019)
Jiangnan Xia, Chen Wu, Ming Yan
Incorporating Relation Knowledge into Commonsense Reading Comprehension with Multi-task Learning. CIKM (2019)
Ming Yan, Jiangnan Xia, Chen Wu, Bin Bi, Zhongzhou Zhao, Ji Zhang, Luo Si, Rui Wang, Wei Wang, Haiqing Chen
A Deep Cascade Model for Multi-Document Reading Comprehension. AAAI (2019)
Ming Yan, Chenliang Li, Chen Wu, Bin Bi, Wei Wang, Jiangnan Xia, Luo Si
IDST at TREC 2019 Deep Learning Track: Deep Cascade Ranking with Generation-based Document Expansion and Pre-trained Language Modeling. TREC (2019)
Jiangnan Xia
Jiangnan at SemEval-2018 Task 11: Deep Neural Network with Attention Method for Machine Comprehension Task. SemEval@NAACL-HLT (2018)
Ming Yan, Jiangnan Xia, Chen Wu, Bin Bi, Zhongzhou Zhao, Ji Zhang, Luo Si, Rui Wang, Wei Wang, Haiqing Chen
A Deep Cascade Model for Multi-Document Reading Comprehension. CoRR (2018)
Shujun Cai, Jiangnan Xia, Keyi Sun, Zhen Wang
EigenCrime: An Algorithm for Criminal Network Mining Based on Trusted Computing. GreenCom/iThings/CPScom (2013)