Jiaxing Shang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 50

Top Topics

Social Networks

Influence Maximization

Graph Embedding

Top Venues

Knowl. Based Syst.

IEEE Trans. Intell. Transp. Syst.

ISPA/BDCloud/SocialCom/SustainCom

Publications

Yincheng Han, Dajiang Liu, Jiaxing Shang, Linjiang Zheng, Jiang Zhong, Weiwei Cao, Hong Sun, Wu Xie
BALQUE: Batch active learning by querying unstable examples with calibrated confidence. Pattern Recognit. 151 (2024)
Yijie Wang, Hao Long, Linjiang Zheng, Jiaxing Shang
Graphformer: Adaptive graph correlation transformer for multivariate long sequence time series forecasting. Knowl. Based Syst. 285 (2024)
Xu Li, Jiaxing Shang, Linjiang Zheng, Qixing Wang, Dajiang Liu, Xiaodong Liu, Fan Li, Weiwei Cao, Hong Sun
IMTCN: An Interpretable Flight Safety Analysis and Prediction Model Based on Multi-Scale Temporal Convolutional Networks. IEEE Trans. Intell. Transp. Syst. 25 (1) (2024)
Dajiang Liu, Yuxin Xia, Jiaxing Shang, Jiang Zhong, Peng Ouyang, Shouyi Yin
E2EMap: End-to-End Reinforcement Learning for CGRA Compilation via Reverse Mapping. HPCA (2024)
Haodong Chen, Jiaxing Shang, Linjiang Zheng, Xu Li, Xiaodong Liu, Hong Sun, Xinbin Zhao, Liling Yu
SDTAN: Scalable Deep Time-Aware Attention Network for Interpretable Hard Landing Prediction. IEEE Trans. Intell. Transp. Syst. 24 (9) (2023)
Wenqing Huang, Fei Hao, Jiaxing Shang, Wangyang Yu, Shengke Zeng, Carmen Bisogni, Vincenzo Loia
Dual-LightGCN: Dual light graph convolutional network for discriminative recommendation. Comput. Commun. 204 (2023)
Erhe Yang, Fei Hao, Jiaxing Shang, Xiaoliang Chen, Doo-Soon Park
BT-CKBQA: An efficient approach for Chinese knowledge base question answering. Data Knowl. Eng. 147 (2023)
Mengya Guan, Xinjun Cai, Jiaxing Shang, Fei Hao, Dajiang Liu, Xianlong Jiao, Wancheng Ni
HMSG: Heterogeneous graph neural network based on Metapath SubGraph learning. Knowl. Based Syst. 279 (2023)
Dajiang Liu, Di Mou, Rong Zhu, Yan Zhuang, Jiaxing Shang, Jiang Zhong, Shouyi Yin
DARIC: A Data Reuse-Friendly CGRA for Parallel Data Access via Elastic FIFOs. DAC (2023)
Xianlong Jiao, Hongjun Ou, Shiguang Chen, Songtao Guo, Yuben Qu, Chaocan Xiang, Jiaxing Shang
Deep Reinforcement Learning for Time-Energy Tradeoff Online Offloading in MEC-Enabled Industrial Internet of Things. IEEE Trans. Netw. Sci. Eng. 10 (6) (2023)
Fei Hao, Yixuan Yang, Jiaxing Shang, Doo-Soon Park
AFCMiner: Finding Absolute Fair Cliques From Attributed Social Networks for Responsible Computational Social Systems. IEEE Trans. Comput. Soc. Syst. 10 (6) (2023)
Yuxuan Zhang, Jiaxing Shang, Linjiang Zheng, Quanwang Wu, Weiwei Cao, Hong Sun
A Joint Framework for Knowledge Extraction from Flight Training Comments. ChineseCSCW (1) (2022)
Bo Wang, Rong Zhu, Jiaxing Shang, Dajiang Liu
Towards Energy-Efficient CGRAs via Stochastic Computing. DATE (2022)
Xueqi Jia, Jiaxing Shang, Dajiang Liu, Haidong Zhang, Wancheng Ni
HeDAN: Heterogeneous diffusion attention network for popularity prediction of online content. Knowl. Based Syst. 254 (2022)
Qinghong Hu, Qinglan Peng, Jiaxing Shang, Yong Li, Junjie He
EBA: An Adaptive Large Neighborhood Search-Based Approach for Edge Bandwidth Allocation. CollaborateCom (1) (2022)
Xianren Zhang, Jiaxing Shang, Xueqi Jia, Dajiang Liu, Fei Hao, Zhiqing Zhang
CollaborateCas: Popularity Prediction of Information Cascades Based on Collaborative Graph Attention Networks. DASFAA (1) (2022)
Xu Li, Jiaxing Shang, Linjiang Zheng, Qixing Wang, Hong Sun, Lin Qi
CurveCluster+: Curve Clustering for Hard Landing Pattern Recognition and Risk Evaluation Based on Flight Data. IEEE Trans. Intell. Transp. Syst. 23 (8) (2022)
Liang Zhao, Tong Zheng, Mingwei Lin, Ammar Hawbani, Jiaxing Shang, Chunlong Fan
SPIDER: A Social Computing Inspired Predictive Routing Scheme for Softwarized Vehicular Networks. IEEE Trans. Intell. Transp. Syst. 23 (7) (2022)
Xueqi Jia, Jiaxing Shang, Linjiang Zheng, Dajiang Liu, Weiwei Cao, Hong Sun
Social Information Popularity Prediction based on Heterogeneous Diffusion Attention Network. SEKE (2022)
Ziwei Jin, Jiaxing Shang, Wancheng Ni, Liang Zhao, Dajiang Liu, Baohua Qiang, Wu Xie, Geyong Min
IM2Vec: Representation learning-based preference maximization in geo-social networks. Inf. Sci. 604 (2022)
Chen Ling, Xianren Zhang, Jiaxing Shang, Dajiang Liu, Yong Li, Wu Xie, Baohua Qiang
ConCas: Cascade Popularity Prediction Based on Topic-Aware Graph Contrastive Learning. KSEM (1) (2022)
Linyang Zhong, Jiaxing Shang, Linjiang Zheng, Fei Hao, Weiwei Cao, Hong Sun
RASTE: A Relation-Guided Joint Method for Aspect Sentiment Triplet Extraction. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta (2022)
Xinjun Cai, Jiaxing Shang, Fei Hao, Dajiang Liu, Linjiang Zheng
HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning. CoRR (2021)
Shufang Zhu, Shangbo Zhou, Jiaxing Shang, Limin Wang, Baohua Qiang
A multiion particle swarm optimization algorithm based on repellent and attraction forces. Concurr. Comput. Pract. Exp. 33 (5) (2021)
Dajiang Liu, Ting Liu, Xingyu Mo, Jiaxing Shang, Shouyi Yin
Polyhedral-based Pipelining of Imperfectly-Nested Loop for CGRAs. ICCAD (2021)
Jiaxing Shang, Shuo Huang, Dingyang Zhang, Zixuan Peng, Dajiang Liu, Yong Li, Lexi Xu
RNe2Vec: information diffusion popularity prediction based on repost network embedding. Computing 103 (2) (2021)
Jiaxing Shang, Yijie Wang, Yuxin Gong, Yanli Zou, Xinjun Cai
A Graph Neural Network-Based Approach for Predicting Second Rise of Information Diffusion on Social Networks. ChineseCSCW (2) (2021)
Xiaojuan Yang, Jiaxing Shang, Linjiang Zheng, Dajiang Liu, Shu Fu, Baohua Qiang
Accepted Influence Maximization under Linear Threshold Model on Large-Scale Social Networks. TrustCom (2021)
Shuang Gao, Wu Xie, Jiaxing Shang, Dajiang Liu, Baohua Qiang
BaCIM: Balanced Competitive Influence Maximization based on Blocked Reverse Influence Sampling. MDM (2021)
Liang Zhao, Tong Zheng, Mingwei Lin, Ammar Hawbani, Jiaxing Shang
A Novel Influence Maximization-based Dynamic Forwarding Node Selection Scheme in SDVNs. ISPA/BDCloud/SocialCom/SustainCom (2020)
Yuchun Zhang, Liang Zhao, Junling Shi, Su Peng, Yunchong Guan, Jiaxing Shang
A Review of Routing Protocols for Wireless Body Area Networks for Miner Safety. ISPA/BDCloud/SocialCom/SustainCom (2020)
Zongwei Kang, Jiaxing Shang, Yong Feng, Linjiang Zheng, Dajiang Liu, Baohua Qiang, Ran Wei
A Deep Sequence-to-Sequence Method for Aircraft Landing Speed Prediction Based on QAR Data. WISE (2) (2020)
Ziwei Jin, Jiaxing Shang, Qianwen Zhu, Chen Ling, Wu Xie, Baohua Qiang
RFRSF: Employee Turnover Prediction Based on Random Forests and Survival Analysis. WISE (2) (2020)
Xinjun Cai, Jiaxing Shang, Ziwei Jin, Feiyi Liu, Baohua Qiang, Wu Xie, Liang Zhao
DBGE: Employee Turnover Prediction Based on Dynamic Bipartite Graph Embedding. IEEE Access 8 (2020)
Yingqi Zhang, Yong Feng, Jiaxing Shang, Mingliang Zhou, Baohua Qiang
Attention-Aware Joint Location Constraint Hashing for Multi-Label Image Retrieval. IEEE Access 8 (2020)
Jiaxing Shang, Ziwei Jin, Yong Feng, Ran Wei, Baohua Qiang, Wu Xie
ITDT: An Iterative Decision Tree-based Approach for Telecom Customer Classification. ISPA/BDCloud/SocialCom/SustainCom (2020)
Yi-yang Zhang, Yong Feng, Dajiang Liu, Jiaxing Shang, Baohua Qiang
FRWCAE: joint faster-RCNN and Wasserstein convolutional auto-encoder for instance retrieval. Appl. Intell. 50 (7) (2020)
Dajiang Liu, Shouyi Yin, Guojie Luo, Jiaxing Shang, Leibo Liu, Shaojun Wei, Yong Feng, Shangbo Zhou
Data-Flow Graph Mapping Optimization for CGRA With Deep Reinforcement Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38 (12) (2019)
Qianwen Zhu, Jiaxing Shang, Xinjun Cai, Linli Jiang, Feiyi Liu, Baohua Qiang
CoxRF: Employee Turnover Prediction Based on Survival Analysis. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2019)
Meng Ting Xiong, Yong Feng, Ting Wu, Jiaxing Shang, Baohua Qiang, Yanan Wang
TDCTFIC: A Novel Recommendation Framework Fusing Temporal Dynamics, CNN-Based Text Features and Item Correlation. IEICE Trans. Inf. Syst. (8) (2019)
Xu Li, Jiaxing Shang, Linjiang Zheng, Dajiang Liu, Lin Qi, Liu Liu
CurveCluster: Automated Recognition of Hard Landing Patterns Based on QAR Curve Clustering. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2019)
Chunping Zhang, Yong Feng, Baohua Qiang, Jiaxing Shang
Wasserstein Generative Recurrent Adversarial Networks for Image Generating. ICPR (2018)
Hongchun Wu, Jiaxing Shang, Shangbo Zhou, Yong Feng, Baohua Qiang, Wu Xie
LAIM: A Linear Time Iterative Approach for Efficient Influence Maximization in Large-Scale Networks. IEEE Access 6 (2018)
Jiaxing Shang, Xiaofan Yan, Linhui Feng, Zheng Dong, Haojie Wang, Shangbo Zhou
ExtTra: Short-Term Traffic Flow Prediction Based on Extremely Randomized Trees. ICONIP (4) (2018)
Dong-dong Niu, Yong Feng, Jiaxing Shang, Baohua Qiang
SCE-MSPFS: A Novel Deep Convolutional Feature Selection Method for Image Retrieval. ICONIP (6) (2018)
Hongchun Wu, Jiaxing Shang, Shangbo Zhou, Yong Feng
A Linear Time Algorithm for Influence Maximization in Large-Scale Social Networks. ICONIP (5) (2017)
Jiaxing Shang, Jinghao Wang, Ge Liu, Hongchun Wu, Shangbo Zhou, Yong Feng
App Uninstalls Prediction: A Machine Learning and Time Series Mining Approach. ICONIP (5) (2017)
Jiaxing Shang, Hongchun Wu, Shangbo Zhou, Lianchen Liu, Hongbin Tang
Effective Influence Maximization Based on the Combination of Multiple Selectors. WASA (2017)
Jiaxing Shang, Shangbo Zhou, Xin Li, Lianchen Liu, Hongchun Wu
CoFIM: A community-based framework for influence maximization on large-scale networks. Knowl. Based Syst. 117 (2017)
Lu Chen, Lianchen Liu, Jiaxing Shang
Fault Tolerance for Web Service Based on Component Importance in Service Networks. ICNCC (2016)
Feng Xie, Zhen Chen, Jiaxing Shang, Xiaoping Feng, Jun Li
A link prediction approach for item recommendation with complex number. Knowl. Based Syst. 81 (2015)
Feng Xie, Zhen Chen, Jiaxing Shang, Wen-Liang Huang, Jun Li
Item Similarity Learning Methods for Collaborative Filtering Recommender Systems. AINA (2015)
Feng Xie, Zhen Chen, Jiaxing Shang, Xiaoping Feng, Wen-Liang Huang, Jun Li
A Link Prediction Approach for Item Recommendation with Complex Number. WI-IAT (2) (2014)
Jiaxing Shang, Lianchen Liu, Feng Xie, Cheng Wu
How Overlapping Community Structure Affects Epidemic Spreading in Complex Networks. COMPSAC Workshops (2014)
Jiaxing Shang, Lianchen Liu, Feng Xie, Zhen Chen, Jiajia Miao, Xuelin Fang, Cheng Wu
A Real-Time Detecting Algorithm for Tracking Community Structure of Dynamic Networks. CoRR (2014)
Feng Xie, Zhen Chen, Jiaxing Shang, Geoffrey C. Fox
Grey Forecast model for accurate recommendation in presence of data sparsity and correlation. Knowl. Based Syst. 69 (2014)