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ORCIDJiangnan Xia
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2020 – today
- 2024
[j6]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): 65-78 (2024)- [j5]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): 2529-2539 (2024) - [j4]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): 2895-2909 (2024) - [c14]Haoli Wang, Jiangnan Xia, Yu Yang, Senzhang Wang, Jiannong Cao:
STS2ANet: Spatio-Temporal Synchronized Sliding Attention Network for Accurate Cross-Day Origin-Destination Prediction. DASFAA (1) 2024: 186-202 - [c13]Yikai Xia, Jiangnan Xia, Di Xiao, Yuan Chen, Godwin Enemali, Chang Liu:
A Portable Data Acquisition System for Online Wavelength Modulation Spectroscopy. I2MTC 2024: 1-6 - [c12]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: 7937-7964 - 2023
- [j3]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): 10544-10554 (2023) - [j2]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: 1-10 (2023) - [j1]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): 7164-7177 (2023) - [c11]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: 1-5 - [c10]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: 4834-4839 - [i5]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 abs/2307.02469 (2023) - [i4]Jiangnan Xia, Yu Yang, Senzhang Wang, Hongzhi Yin, Jiannong Cao, Philip S. Yu:
Bayes-enhanced Multi-view Attention Networks for Robust POI Recommendation. CoRR abs/2311.00491 (2023) - 2022
- [c9]Jiangnan Xia, Godwin Enemali, Rui Zhang, Chang Liu:
Cascade integrator comb filter-aided calibration-free Wavelength Modulation Spectroscopy Tomography. I2MTC 2022: 1-5 - 2020
- [c8]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: 7424-7431 - [c7]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
2010 – 2019
- 2019
- [c6]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: 7354-7361 - [c5]Jiangnan Xia, Chen Wu, Ming Yan:
Incorporating Relation Knowledge into Commonsense Reading Comprehension with Multi-task Learning. CIKM 2019: 2393-2396 - [c4]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: 2521-2530 - [c3]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 - [i3]Jiangnan Xia, Chen Wu, Ming Yan:
Incorporating Relation Knowledge into Commonsense Reading Comprehension with Multi-task Learning. CoRR abs/1908.04530 (2019) - [i2]Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia, Chenliang Li:
Incorporating External Knowledge into Machine Reading for Generative Question Answering. CoRR abs/1909.02745 (2019) - 2018
- [c2]Jiangnan Xia:
Jiangnan at SemEval-2018 Task 11: Deep Neural Network with Attention Method for Machine Comprehension Task. SemEval@NAACL-HLT 2018: 1063-1067 - [i1]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 abs/1811.11374 (2018) - 2013
- [c1]Shujun Cai, Jiangnan Xia, Keyi Sun, Zhen Wang:
EigenCrime: An Algorithm for Criminal Network Mining Based on Trusted Computing. GreenCom/iThings/CPScom 2013: 1325-1329
Coauthor Index
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