Jiaxing Shang

According to our database, Jiaxing Shang authored at least 54 papers between 2014 and 2024.

Collaborative distances:

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

2024

IMTCN: An Interpretable Flight Safety Analysis and Prediction Model Based on Multi-Scale Temporal Convolutional Networks.

Xu Li, Jiaxing Shang, Linjiang Zheng, Qixing Wang, Dajiang Liu, Xiaodong Liu, Fan Li, Weiwei Cao, Hong Sun

IEEE Trans. Intell. Transp. Syst., January, 2024

E2EMap: End-to-End Reinforcement Learning for CGRA Compilation via Reverse Mapping.

Dajiang Liu, Yuxin Xia, Jiaxing Shang, Jiang Zhong, Peng Ouyang, Shouyi Yin

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

2023

AFCMiner: Finding Absolute Fair Cliques From Attributed Social Networks for Responsible Computational Social Systems.

Fei Hao, Yixuan Yang, Jiaxing Shang, Doo-Soon Park

IEEE Trans. Comput. Soc. Syst., December, 2023

HMSG: Heterogeneous graph neural network based on Metapath SubGraph learning.

Mengya Guan, Xinjun Cai, Jiaxing Shang, Fei Hao, Dajiang Liu, Xianlong Jiao, Wancheng Ni

Knowl. Based Syst., November, 2023

SDTAN: Scalable Deep Time-Aware Attention Network for Interpretable Hard Landing Prediction.

Haodong Chen, Jiaxing Shang, Linjiang Zheng, Xu Li, Xiaodong Liu, Hong Sun, Xinbin Zhao, Liling Yu

IEEE Trans. Intell. Transp. Syst., September, 2023

BT-CKBQA: An efficient approach for Chinese knowledge base question answering.

Erhe Yang, Fei Hao, Jiaxing Shang, Xiaoliang Chen, Doo-Soon Park

Data Knowl. Eng., September, 2023

Dual-LightGCN: Dual light graph convolutional network for discriminative recommendation.

Wenqing Huang, Fei Hao, Jiaxing Shang, Wangyang Yu, Shengke Zeng, Carmen Bisogni, Vincenzo Loia

Comput. Commun., April, 2023

Deep Reinforcement Learning for Time-Energy Tradeoff Online Offloading in MEC-Enabled Industrial Internet of Things.

Xianlong Jiao, Hongjun Ou, Shiguang Chen, Songtao Guo, Yuben Qu, Chaocan Xiang, Jiaxing Shang

IEEE Trans. Netw. Sci. Eng., 2023

DARIC: A Data Reuse-Friendly CGRA for Parallel Data Access via Elastic FIFOs.

Dajiang Liu, Di Mou, Rong Zhu, Yan Zhuang, Jiaxing Shang, Jiang Zhong, Shouyi Yin

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

CurveCluster+: Curve Clustering for Hard Landing Pattern Recognition and Risk Evaluation Based on Flight Data.

Xu Li, Jiaxing Shang, Linjiang Zheng, Qixing Wang, Hong Sun, Lin Qi

IEEE Trans. Intell. Transp. Syst., 2022

SPIDER: A Social Computing Inspired Predictive Routing Scheme for Softwarized Vehicular Networks.

Liang Zhao, Tong Zheng, Mingwei Lin, Ammar Hawbani, Jiaxing Shang, Chunlong Fan

IEEE Trans. Intell. Transp. Syst., 2022

HeDAN: Heterogeneous diffusion attention network for popularity prediction of online content.

Xueqi Jia, Jiaxing Shang, Dajiang Liu, Haidong Zhang, Wancheng Ni

Knowl. Based Syst., 2022

IM2Vec: Representation learning-based preference maximization in geo-social networks.

Ziwei Jin, Jiaxing Shang, Wancheng Ni, Liang Zhao, Dajiang Liu, Baohua Qiang, Wu Xie, Geyong Min

Inf. Sci., 2022

RASTE: A Relation-Guided Joint Method for Aspect Sentiment Triplet Extraction.

Linyang Zhong, Jiaxing Shang, Linjiang Zheng, Fei Hao, Weiwei Cao, Hong Sun

Proceedings of the IEEE Smartworld, 2022

Social Information Popularity Prediction based on Heterogeneous Diffusion Attention Network.

Xueqi Jia, Jiaxing Shang, Linjiang Zheng, Dajiang Liu, Weiwei Cao, Hong Sun

Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering, 2022

ConCas: Cascade Popularity Prediction Based on Topic-Aware Graph Contrastive Learning.

Chen Ling, Xianren Zhang, Jiaxing Shang, Dajiang Liu, Yong Li, Wu Xie, Baohua Qiang

Proceedings of the Knowledge Science, Engineering and Management, 2022

Towards Energy-Efficient CGRAs via Stochastic Computing.

Bo Wang, Rong Zhu, Jiaxing Shang, Dajiang Liu

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

CollaborateCas: Popularity Prediction of Information Cascades Based on Collaborative Graph Attention Networks.

Xianren Zhang, Jiaxing Shang, Xueqi Jia, Dajiang Liu, Fei Hao, Zhiqing Zhang

Proceedings of the Database Systems for Advanced Applications, 2022

EBA: An Adaptive Large Neighborhood Search-Based Approach for Edge Bandwidth Allocation.

Qinghong Hu, Qinglan Peng, Jiaxing Shang, Yong Li, Junjie He

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2022

A Joint Framework for Knowledge Extraction from Flight Training Comments.

Yuxuan Zhang, Jiaxing Shang, Linjiang Zheng, Quanwang Wu, Weiwei Cao, Hong Sun

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2022

2021

HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning.

Xinjun Cai, Jiaxing Shang, Fei Hao, Dajiang Liu, Linjiang Zheng

CoRR, 2021

A multiion particle swarm optimization algorithm based on repellent and attraction forces.

Shufang Zhu, Shangbo Zhou, Jiaxing Shang, Limin Wang, Baohua Qiang

Concurr. Comput. Pract. Exp., 2021

RNe2Vec: information diffusion popularity prediction based on repost network embedding.

Jiaxing Shang, Shuo Huang, Dingyang Zhang, Zixuan Peng, Dajiang Liu, Yong Li, Lexi Xu

Computing, 2021

Accepted Influence Maximization under Linear Threshold Model on Large-Scale Social Networks.

Xiaojuan Yang, Jiaxing Shang, Linjiang Zheng, Dajiang Liu, Shu Fu, Baohua Qiang

Proceedings of the 20th IEEE International Conference on Trust, 2021

BaCIM: Balanced Competitive Influence Maximization based on Blocked Reverse Influence Sampling.

Shuang Gao, Wu Xie, Jiaxing Shang, Dajiang Liu, Baohua Qiang

Proceedings of the 22nd IEEE International Conference on Mobile Data Management, 2021

Polyhedral-based Pipelining of Imperfectly-Nested Loop for CGRAs.

Dajiang Liu, Ting Liu, Xingyu Mo, Jiaxing Shang, Shouyi Yin

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

A Graph Neural Network-Based Approach for Predicting Second Rise of Information Diffusion on Social Networks.

Jiaxing Shang, Yijie Wang, Yuxin Gong, Yanli Zou, Xinjun Cai

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2021

2020

FRWCAE: joint faster-RCNN and Wasserstein convolutional auto-encoder for instance retrieval.

Yi-yang Zhang, Yong Feng, Dajiang Liu, Jiaxing Shang, Baohua Qiang

Appl. Intell., 2020

Attention-Aware Joint Location Constraint Hashing for Multi-Label Image Retrieval.

Yingqi Zhang, Yong Feng, Jiaxing Shang, Mingliang Zhou, Baohua Qiang

IEEE Access, 2020

DBGE: Employee Turnover Prediction Based on Dynamic Bipartite Graph Embedding.

Xinjun Cai, Jiaxing Shang, Ziwei Jin, Feiyi Liu, Baohua Qiang, Wu Xie, Liang Zhao

IEEE Access, 2020

A Deep Sequence-to-Sequence Method for Aircraft Landing Speed Prediction Based on QAR Data.

Zongwei Kang, Jiaxing Shang, Yong Feng, Linjiang Zheng, Dajiang Liu, Baohua Qiang, Ran Wei

Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

RFRSF: Employee Turnover Prediction Based on Random Forests and Survival Analysis.

Ziwei Jin, Jiaxing Shang, Qianwen Zhu, Chen Ling, Wu Xie, Baohua Qiang

Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

A Review of Routing Protocols for Wireless Body Area Networks for Miner Safety.

Yuchun Zhang, Liang Zhao, Junling Shi, Su Peng, Yunchong Guan, Jiaxing Shang

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

ITDT: An Iterative Decision Tree-based Approach for Telecom Customer Classification.

Jiaxing Shang, Ziwei Jin, Yong Feng, Ran Wei, Baohua Qiang, Wu Xie

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

A Novel Influence Maximization-based Dynamic Forwarding Node Selection Scheme in SDVNs.

Liang Zhao, Tong Zheng, Mingwei Lin, Ammar Hawbani, Jiaxing Shang

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

2019

Data-Flow Graph Mapping Optimization for CGRA With Deep Reinforcement Learning.

Dajiang Liu, Shouyi Yin, Guojie Luo, Jiaxing Shang, Leibo Liu, Shaojun Wei, Yong Feng, Shangbo Zhou

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

TDCTFIC: A Novel Recommendation Framework Fusing Temporal Dynamics, CNN-Based Text Features and Item Correlation.

Meng Ting Xiong, Yong Feng, Ting Wu, Jiaxing Shang, Baohua Qiang, Yanan Wang

IEICE Trans. Inf. Syst., 2019

CoxRF: Employee Turnover Prediction Based on Survival Analysis.

Qianwen Zhu, Jiaxing Shang, Xinjun Cai, Linli Jiang, Feiyi Liu, Baohua Qiang

Proceedings of the 2019 IEEE SmartWorld, 2019

CurveCluster: Automated Recognition of Hard Landing Patterns Based on QAR Curve Clustering.

Xu Li, Jiaxing Shang, Linjiang Zheng, Dajiang Liu, Lin Qi, Liu Liu

Proceedings of the 2019 IEEE SmartWorld, 2019

2018

LAIM: A Linear Time Iterative Approach for Efficient Influence Maximization in Large-Scale Networks.

Hongchun Wu, Jiaxing Shang, Shangbo Zhou, Yong Feng, Baohua Qiang, Wu Xie

IEEE Access, 2018

Wasserstein Generative Recurrent Adversarial Networks for Image Generating.

Chunping Zhang, Yong Feng, Baohua Qiang, Jiaxing Shang

Proceedings of the 24th International Conference on Pattern Recognition, 2018

ExtTra: Short-Term Traffic Flow Prediction Based on Extremely Randomized Trees.

Jiaxing Shang, Xiaofan Yan, Linhui Feng, Zheng Dong, Haojie Wang, Shangbo Zhou

Proceedings of the Neural Information Processing - 25th International Conference, 2018

SCE-MSPFS: A Novel Deep Convolutional Feature Selection Method for Image Retrieval.

Dong-dong Niu, Yong Feng, Jiaxing Shang, Baohua Qiang

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

CoFIM: A community-based framework for influence maximization on large-scale networks.

Jiaxing Shang, Shangbo Zhou, Xin Li, Lianchen Liu, Hongchun Wu

Knowl. Based Syst., 2017

Effective Influence Maximization Based on the Combination of Multiple Selectors.

Jiaxing Shang, Hongchun Wu, Shangbo Zhou, Lianchen Liu, Hongbin Tang

Proceedings of the Wireless Algorithms, Systems, and Applications, 2017

A Linear Time Algorithm for Influence Maximization in Large-Scale Social Networks.

Hongchun Wu, Jiaxing Shang, Shangbo Zhou, Yong Feng

Proceedings of the Neural Information Processing - 24th International Conference, 2017

App Uninstalls Prediction: A Machine Learning and Time Series Mining Approach.

Jiaxing Shang, Jinghao Wang, Ge Liu, Hongchun Wu, Shangbo Zhou, Yong Feng

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

Fault Tolerance for Web Service Based on Component Importance in Service Networks.

Lu Chen, Lianchen Liu, Jiaxing Shang

Proceedings of the Fifth International Conference on Network, Communication and Computing, 2016

2015

A link prediction approach for item recommendation with complex number.

Feng Xie, Zhen Chen, Jiaxing Shang, Xiaoping Feng, Jun Li

Knowl. Based Syst., 2015

Item Similarity Learning Methods for Collaborative Filtering Recommender Systems.

Feng Xie, Zhen Chen, Jiaxing Shang, Wen-Liang Huang, Jun Li

Proceedings of the 29th IEEE International Conference on Advanced Information Networking and Applications, 2015

2014

Grey Forecast model for accurate recommendation in presence of data sparsity and correlation.

Feng Xie, Zhen Chen, Jiaxing Shang, Geoffrey C. Fox

Knowl. Based Syst., 2014

A Real-Time Detecting Algorithm for Tracking Community Structure of Dynamic Networks.

Jiaxing Shang, Lianchen Liu, Feng Xie, Zhen Chen, Jiajia Miao, Xuelin Fang, Cheng Wu

CoRR, 2014

A Link Prediction Approach for Item Recommendation with Complex Number.

Feng Xie, Zhen Chen, Jiaxing Shang, Xiaoping Feng, Wen-Liang Huang, Jun Li

Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

How Overlapping Community Structure Affects Epidemic Spreading in Complex Networks.

Jiaxing Shang, Lianchen Liu, Feng Xie, Cheng Wu

Proceedings of the IEEE 38th Annual Computer Software and Applications Conference, 2014