Jiangnan Xia - RankMe

36 papers A* 4A 1B 1Misc 1Journal 17Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Spectroscopy-Constraint Network for Fast Thermochemical Process Monitoring Using Wavelength Modulation Spectroscopy. IEEE Trans. Instrum. Meas. Jiangnan Xia, Rui Zhang, Ihab Ahmed, Mohamed Pourkashanian, Ian Armstrong, Michael Lengden, Walter Johnstone, Hugh McCann, Chang Liu
2025	J	`jnl`	Advancing physiological time series reconstruction and imputation via mixture of receptive fields and experts fusion. CoRR Ci Zhang, Huayu Li, Changdi Yang, Jiangnan Xia, Yanzhi Wang, Xiaolong Ma, Jin Lu, Ao Li, Geng Yuan
2025	—	`conf`	Bridging the Modality Gap: Advancing Multimodal Human Pose Estimation with Modality-Adaptive Pose Estimator and Novel Benchmark Datasets. CVM (3) Jiangnan Xia, Zhiyuan Zhang, Yanyin Guo, Qilong Wu, Yi Li, Jianghan Cheng, Junwei Li
2025	A*	`conf`	FairTP: A Prolonged Fairness Framework for Traffic Prediction. AAAI Jiangnan Xia, Yu Yang, Jiaxing Shen, Senzhang Wang, Jiannong Cao
2025	J	`jnl`	GeoBS: Information-Theoretic Quantification of Geographic Bias in AI Models. CoRR Zhangyu Wang, Nemin Wu, Qian Cao, Jiangnan Xia, Zeping Liu, Yiqun Xie, Akshay Uttama Nambi, Tanuja Ganu, Ni Lao, Ninghao Liu, Gengchen Mai
2025	Misc	`conf`	Improving Multimodal Human Pose Estimation by Adversarial Modality Enhancement ICASSP Jiangnan Xia, Qilong Wu, Yanyin Guo, Yi Li, Jianghan Cheng, Junwei Li, Zhiyuan Zhang
2025	J	`jnl`	Machine Learning-Enhanced Laser Absorption Spectroscopy for Harsh-Environment Combustion Diagnosis. IEEE Trans. Instrum. Meas. Yuan Chen, Jiangnan Xia, Rui Zhang, Yikai Xia, Minqiu Zhou, Yalei Fu, Ihab Ahmed, Ian Armstrong, Abhishek Upadhyay, Michael Lengden, Walter Johnstone, Paul Wright, Krikor B. Ozanyan, Mohamed Pourkashanian, Hugh McCann, Chang Liu
2025	B	`conf`	TS-Diff: Two-Stage Diffusion Model for Low-Light RAW Image Enhancement. IJCNN Yi Li, Zhiyuan Zhang, Jiangnan Xia, Jianghan Cheng, Qilong Wu, Junwei Li, Yibin Tian, Hui Kong
2025	J	`jnl`	TS-Diff: Two-Stage Diffusion Model for Low-Light RAW Image Enhancement. CoRR Yi Li, Zhiyuan Zhang, Jiangnan Xia, Jianghan Cheng, Qilong Wu, Junwei Li, Yibin Tian, Hui Kong
2024	—	`conf`	A Portable Data Acquisition System for Online Wavelength Modulation Spectroscopy. I2MTC Yikai Xia, Jiangnan Xia, Di Xiao, Yuan Chen, Godwin Enemali, Chang Liu
2024	J	`jnl`	Bayes-Enhanced Multi-View Attention Networks for Robust POI Recommendation. IEEE Trans. Knowl. Data Eng. Jiangnan Xia, Yu Yang, Senzhang Wang, Hongzhi Yin, Jiannong Cao, Philip S. Yu
2024	J	`jnl`	FPGA-Accelerated Distributed Sensing System for Real-Time Industrial Laser Absorption Spectroscopy Tomography at Kilo-Hertz. IEEE Trans. Ind. Informatics Jiangnan Xia, Godwin Enemali, Rui Zhang, Yalei Fu, Hugh McCann, Bin Zhou, Chang Liu
2024	J	`jnl`	FairTP: A Prolonged Fairness Framework for Traffic Prediction. CoRR Jiangnan Xia, Yu Yang, Jiaxing Shen, Senzhang Wang, Jiannong Cao
2024	J	`jnl`	Multi-view Bayesian spatio-temporal graph neural networks for reliable traffic flow prediction. Int. J. Mach. Learn. Cybern. Jiangnan Xia, Senzhang Wang, Xiang Wang, Min Xia, Kun Xie, Jiannong Cao
2024	—	`conf`	ResGAT: Embedding Adjacent Connectivity of Brain Regions from fMRI for Accurate Parkinson's Disease Recognition. ADMA (4) Shuyang Li, Yu Yang, Yichen Lv, Jiangnan Xia, Xin Wang
2024	—	`conf`	STS2ANet: Spatio-Temporal Synchronized Sliding Attention Network for Accurate Cross-Day Origin-Destination Prediction. DASFAA (1) Haoli Wang, Jiangnan Xia, Yu Yang, Senzhang Wang, Jiannong Cao
2024	—	`conf`	What Matters in Training a GPT4-Style Language Model with Multimodal Inputs? NAACL-HLT Yan Zeng, Hanbo Zhang, Jiani Zheng, Jiangnan Xia, Guoqiang Wei, Yang Wei, Yuchen Zhang, Tao Kong, Ruihua Song
2023	J	`jnl`	A Spatially Progressive Neural Network for Locally/Globally Prioritized TDLAS Tomography. IEEE Trans. Ind. Informatics Jingjing Si, Gengchen Fu, Xin Liu, Yinbo Cheng, Rui Zhang, Jiangnan Xia, Yalei Fu, Godwin Enemali, Chang Liu
2023	J	`jnl`	Bayes-enhanced Multi-view Attention Networks for Robust POI Recommendation. CoRR Jiangnan Xia, Yu Yang, Senzhang Wang, Hongzhi Yin, Jiannong Cao, Philip S. Yu
2023	J	`jnl`	Hybrid Model-Driven Spectroscopic Network for Rapid Retrieval of Turbine Exhaust Temperature. IEEE Trans. Instrum. Meas. 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
2023	J	`jnl`	MBA-STNet: Bayes-Enhanced Discriminative Multi-Task Learning for Flow Prediction. IEEE Trans. Knowl. Data Eng. Hao Miao, Jiaxing Shen, Jiannong Cao, Jiangnan Xia, Senzhang Wang
2023	—	`conf`	Miniature Modular Sensor for Chemical Species Tomography with Enhanced Spatial Resolution. IST Rui Zhang, Jiangnan Xia, Hugh McCann, Chang Liu, Ihab Ahmed, Mohamed Pourkashanian, Andrew Gough, Ian Armstrong, Michael Lengden, Walter Johnstone
2023	—	`conf`	Railway Switch Machine Fault Diagnosis Considering Sensor Abnormality Scenarios. ITSC Xiaoxi Hu, Xiaohan Zhang, Zhaorong Wang, Yunbo Chen, Jiangnan Xia, Yawen Du, Yi Li
2023	J	`jnl`	What Matters in Training a GPT4-Style Language Model with Multimodal Inputs? CoRR Yan Zeng, Hanbo Zhang, Jiani Zheng, Jiangnan Xia, Guoqiang Wei, Yang Wei, Yuchen Zhang, Tao Kong
2022	—	`conf`	Cascade integrator comb filter-aided calibration-free Wavelength Modulation Spectroscopy Tomography. I2MTC Jiangnan Xia, Godwin Enemali, Rui Zhang, Chang Liu
2020	A*	`conf`	Generating Well-Formed Answers by Machine Reading with Stochastic Selector Networks. AAAI Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia, Chenliang Li
2020	A*	`conf`	StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding. ICLR Wei Wang, Bin Bi, Ming Yan, Chen Wu, Jiangnan Xia, Zuyi Bao, Liwei Peng, Luo Si
2019	A*	`conf`	A Deep Cascade Model for Multi-Document Reading Comprehension. AAAI Ming Yan, Jiangnan Xia, Chen Wu, Bin Bi, Zhongzhou Zhao, Ji Zhang, Luo Si, Rui Wang, Wei Wang, Haiqing Chen
2019	—	`conf`	IDST at TREC 2019 Deep Learning Track: Deep Cascade Ranking with Generation-based Document Expansion and Pre-trained Language Modeling. TREC Ming Yan, Chenliang Li, Chen Wu, Bin Bi, Wei Wang, Jiangnan Xia, Luo Si
2019	—	`conf`	Incorporating External Knowledge into Machine Reading for Generative Question Answering. EMNLP/IJCNLP (1) Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia, Chenliang Li
2019	J	`jnl`	Incorporating External Knowledge into Machine Reading for Generative Question Answering. CoRR Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia, Chenliang Li
2019	A	`conf`	Incorporating Relation Knowledge into Commonsense Reading Comprehension with Multi-task Learning. CIKM Jiangnan Xia, Chen Wu, Ming Yan
2019	J	`jnl`	Incorporating Relation Knowledge into Commonsense Reading Comprehension with Multi-task Learning. CoRR Jiangnan Xia, Chen Wu, Ming Yan
2018	J	`jnl`	A Deep Cascade Model for Multi-Document Reading Comprehension. CoRR Ming Yan, Jiangnan Xia, Chen Wu, Bin Bi, Zhongzhou Zhao, Ji Zhang, Luo Si, Rui Wang, Wei Wang, Haiqing Chen
2018	—	`conf`	Jiangnan at SemEval-2018 Task 11: Deep Neural Network with Attention Method for Machine Comprehension Task. SemEval@NAACL-HLT Jiangnan Xia
2013	—	`conf`	EigenCrime: An Algorithm for Criminal Network Mining Based on Trusted Computing. GreenCom/iThings/CPScom Shujun Cai, Jiangnan Xia, Keyi Sun, Zhen Wang