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2020 – today
- 2024
[j26]Yijie Wang, Hao Long, Linjiang Zheng, Jiaxing Shang
:
Graphformer: Adaptive graph correlation transformer for multivariate long sequence time series forecasting. Knowl. Based Syst. 285: 111321 (2024)- [j25]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: 110385 (2024) - [j24]Xiaojuan Yang, Jiaxing Shang, Qinghong Hu, Dajiang Liu:
ARIS: Efficient Admitted Influence Maximizing in Large-Scale Networks Based on Valid Path Reverse Influence Sampling. IEEE Trans. Emerg. Top. Comput. 12(3): 700-714 (2024) - [j23]Fei Hao, Jie Gao, Yaguang Lin, Yulei Wu, Jiaxing Shang:
Concept Stability Entropy: A Novel Group Cohesion Measure in Social Networks. IEEE Trans. Emerg. Top. Comput. 12(3): 715-726 (2024) - [j22]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): 289-302 (2024) - [c31]Dajiang Liu, Decai Pan, Xiao Xiong, Jiaxing Shang, Shouyi Yin:
PMP: Pattern Morphing-based Memory Partitioning in High-Level Synthesis. DAC 2024: 205:1-205:6 - [c30]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: 46-60 - 2023
- [j21]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: 89-100 (2023) - [j20]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: 102204 (2023) - [j19]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: 110930 (2023) - [j18]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): 3000-3011 (2023) - [j17]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): 10211-10223 (2023) - [j16]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): 3465-3479 (2023) - [c29]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: 1-6 - 2022
- [j15]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: 170-196 (2022) - [j14]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: 109659 (2022) - [j13]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): 9466-9477 (2022) - [j12]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): 12811-12821 (2022) - [c28]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: 17-27 - [c27]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: 249-268 - [c26]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: 714-721 - [c25]Bo Wang, Rong Zhu, Jiaxing Shang, Dajiang Liu:
Towards Energy-Efficient CGRAs via Stochastic Computing. DATE 2022: 202-207 - [c24]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: 516-528 - [c23]Xueqi Jia, Jiaxing Shang, Linjiang Zheng, Dajiang Liu, Weiwei Cao, Hong Sun:
Social Information Popularity Prediction based on Heterogeneous Diffusion Attention Network. SEKE 2022: 604-609 - [c22]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: 572-579 - 2021
- [j11]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): 271-289 (2021) - [j10]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) - [c21]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: 352-363 - [c20]Dajiang Liu, Ting Liu, Xingyu Mo, Jiaxing Shang, Shouyi Yin:
Polyhedral-based Pipelining of Imperfectly-Nested Loop for CGRAs. ICCAD 2021: 1-9 - [c19]Shuang Gao, Wu Xie, Jiaxing Shang, Dajiang Liu, Baohua Qiang:
BaCIM: Balanced Competitive Influence Maximization based on Blocked Reverse Influence Sampling. MDM 2021: 151-156 - [c18]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: 1061-1068 - [i2]Xinjun Cai, Jiaxing Shang, Fei Hao, Dajiang Liu, Linjiang Zheng:
HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning. CoRR abs/2109.02868 (2021) - 2020
- [j9]Yingqi Zhang, Yong Feng, Jiaxing Shang, Mingliang Zhou, Baohua Qiang:
Attention-Aware Joint Location Constraint Hashing for Multi-Label Image Retrieval. IEEE Access 8: 3294-3307 (2020) - [j8]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: 10390-10402 (2020) - [j7]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): 2208-2221 (2020) - [c17]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: 674-682 - [c16]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: 1306-1310 - [c15]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: 1501-1506 - [c14]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: 503-515 - [c13]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: 516-530
2010 – 2019
- 2019
- [j6]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. 102-D(8): 1517-1525 (2019) - [j5]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): 2271-2283 (2019) - [c12]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: 602-609 - [c11]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: 1123-1130 - 2018
- [j4]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: 44221-44234 (2018) - [c10]Dong-dong Niu, Yong Feng, Jiaxing Shang, Baohua Qiang:
SCE-MSPFS: A Novel Deep Convolutional Feature Selection Method for Image Retrieval. ICONIP (6) 2018: 269-281 - [c9]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: 532-544 - [c8]Chunping Zhang, Yong Feng, Baohua Qiang, Jiaxing Shang:
Wasserstein Generative Recurrent Adversarial Networks for Image Generating. ICPR 2018: 242-247 - 2017
- [j3]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: 88-100 (2017) - [c7]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: 514-522 - [c6]Hongchun Wu, Jiaxing Shang, Shangbo Zhou, Yong Feng:
A Linear Time Algorithm for Influence Maximization in Large-Scale Social Networks. ICONIP (5) 2017: 752-761 - [c5]Jiaxing Shang, Hongchun Wu, Shangbo Zhou, Lianchen Liu, Hongbin Tang:
Effective Influence Maximization Based on the Combination of Multiple Selectors. WASA 2017: 572-583 - 2016
- [c4]Lu Chen, Lianchen Liu, Jiaxing Shang:
Fault Tolerance for Web Service Based on Component Importance in Service Networks. ICNCC 2016: 103-109 - 2015
- [j2]Feng Xie, Zhen Chen, Jiaxing Shang, Xiaoping Feng, Jun Li:
A link prediction approach for item recommendation with complex number. Knowl. Based Syst. 81: 148-158 (2015) - [c3]Feng Xie, Zhen Chen, Jiaxing Shang, Wen-Liang Huang, Jun Li:
Item Similarity Learning Methods for Collaborative Filtering Recommender Systems. AINA 2015: 896-903 - 2014
- [j1]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: 179-190 (2014) - [c2]Jiaxing Shang, Lianchen Liu, Feng Xie, Cheng Wu:
How Overlapping Community Structure Affects Epidemic Spreading in Complex Networks. COMPSAC Workshops 2014: 240-245 - [c1]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: 205-212 - [i1]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 abs/1407.2683 (2014)
Coauthor Index
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