Jiaxing Shang

79 papers A* 3A 3B 4C 1Journal 46Unranked 22
YearRankTypeTitle / Venue / Authors
2026 J jnl
Channel Clustering-based Attention Network for interpretable hard landing prediction.
Eng. Appl. Artif. Intell.
Hao Zhang, Huabo Sun, Yu Liu, Xinbin Zhao, Xu Li, Jiaxing Shang, Linjiang Zheng
2026 J jnl
Confusion-Aware Spectral Regularizer for Long-Tailed Recognition.
CoRR
Ziquan Zhu, Gaojie Jin, Hanruo Zhu, Si-Yuan Lu, Yunxiao Zhang, Zeyu Fu, Ronghui Mu, Guoqiang Zhang, Zhao Sun, Xia Yuhang, Jiaxing Shang, Xiang Li, Lu Liu, Tianjin Huang
2026 J jnl
MultiSafe: Multiple Flight Safety Events Prediction Based on Interpretable Deep Multi-Task Learning.
IEEE Trans. Intell. Transp. Syst.
Youlin Huang, Jiaxing Shang, Xu Li, Linjiang Zheng, Chengxiang Li, Fan Li, Xinbin Zhao, Huabo Sun, Riquan Zhang
2026 J jnl
ReFEND: Leveraging Social Sentiment Resonances for Fake News Detection.
IEEE Trans. Knowl. Data Eng.
Mengya Guan, Jiaxing Shang, Rong Xu, Fei Hao, Ruiyuan Li, Geyong Min
2026 A conf
SARC: Sentiment-Augmented Deep Role Clustering for Fake News Detection.
WSDM
Jingqing Wang, Jiaxing Shang, Rong Xu, Fei Hao, Tianjin Huang, Geyong Min
2026 J jnl
Trust-aware caching-constrained tasks offloading in multi-access edge computing.
Future Gener. Comput. Syst.
Xinyuan Zhu, Fei Hao, Ming Lei, Aziz Nasridinov, Jiaxing Shang, Zhengxin Yu, Longjiang Guo
2025 J jnl
A Dual Two-Stage Attention-based Model for interpretable hard landing prediction from flight data.
Eng. Appl. Artif. Intell.
Jiaxing Shang, Xiaoquan Li, Ruixiang Zhang, Linjiang Zheng, Xu Li, Riquan Zhang, Xinbin Zhao, Fan Li, Hong Sun
2025 J jnl
ATPF: An Adaptive Temporal Perturbation Framework for Adversarial Attacks on Temporal Knowledge Graph.
IEEE Trans. Knowl. Data Eng.
Longquan Liao, Linjiang Zheng, Jiaxing Shang, Xu Li, Fengwen Chen
2025 J jnl
Adaptive Encoding Strategies for Lossless Floating-Point Compression.
IEEE Internet Things J.
Zheng Li, Ruiyuan Li, Xiaolong Xu, Yi Wu, Chao Chen, Tong Liu, Jiaxing Shang, Yu Zheng
2025 J jnl
DVCAE: Semi-Supervised Dual Variational Cascade Autoencoders for Information Popularity Prediction.
IEEE Trans. Knowl. Data Eng.
Jiaxing Shang, Xueqi Jia, Xiaoquan Li, Fei Hao, Ruiyuan Li, Geyong Min
2025 — conf
DynaX: Sparse Attention Acceleration with Dynamic X: M Fine-Grained Structured Pruning.
ASPLOS (2)
Xiao Xiong, Zhaorui Chen, Yue Liang, Minghao Tian, Jiaxing Shang, Jiang Zhong, Dajiang Liu
2025 J jnl
ERD-Net: Modeling entity and relation dynamics for Temporal Knowledge Graph reasoning.
Knowl. Based Syst.
Longquan Liao, Linjiang Zheng, Fengwen Chen, Jiaxing Shang, Xu Li, Wengang Li
2025 J jnl
Fine-Grained Time and Hidden Feature Learning for Interpretable Hard Landing Prediction Based on QAR Data.
IEEE Trans. Intell. Transp. Syst.
Jiongbiao Cai, Jiaxing Shang, Xu Li, Chengxiang Li, Linjiang Zheng
2025 J jnl
High-Order Neighbors Aware Representation Learning for Knowledge Graph Completion.
IEEE Trans. Neural Networks Learn. Syst.
Hong Yin, Jiang Zhong, Rongzhen Li, Jiaxing Shang, Chen Wang, Xue Li
2025 J jnl
Joint Resource Allocation for V2X Communications With Multi-Type Mean-Field Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst.
Yue Xu, Xiao Wu, Yi Tang, Jiaxing Shang, Linjiang Zheng, Liang Zhao
2025 J jnl
MDGNN: Multiple Flight Safety Incidents Prediction Model Based on Dynamic Graph Neural Networks.
IEEE Trans. Intell. Transp. Syst.
Lei Song, Xu Li, Hongtao Liu, Lin Wu, Hong Sun, Linjiang Zheng, Jiaxing Shang
2025 J jnl
SARC: Sentiment-Augmented Deep Role Clustering for Fake News Detection.
CoRR
Jingqing Wang, Jiaxing Shang, Rong Xu, Fei Hao, Tianjin Huang, Geyong Min
2025 J jnl
SDVD: Self-supervised dual-view modeling of user and cascade dynamics for information diffusion prediction.
Knowl. Based Syst.
Haoyu Xiong, Jiaxing Shang, Fei Hao, Dajiang Liu, Geyong Min
2025 J jnl
Series clustering and dynamic periodic patching-based transformer for multivariate time series forecasting.
Appl. Soft Comput.
Yijie Wang, Xiao Wu, Jiaying Zhang, Weiping Wang, Linjiang Zheng, Jiaxing Shang
2025 J jnl
Syntactic-Enhanced Multi-Task Learning Model for Aspect Sentiment Triplet Extraction.
Data Sci. Eng.
Jiaxing Shang, Yuxuan Zhang, Linyang Zhong, Ruiyuan Li
2024 J jnl
ARIS: Efficient Admitted Influence Maximizing in Large-Scale Networks Based on Valid Path Reverse Influence Sampling.
IEEE Trans. Emerg. Top. Comput.
Xiaojuan Yang, Jiaxing Shang, Qinghong Hu, Dajiang Liu
2024 J jnl
BALQUE: Batch active learning by querying unstable examples with calibrated confidence.
Pattern Recognit.
Yincheng Han, Dajiang Liu, Jiaxing Shang, Linjiang Zheng, Jiang Zhong, Weiwei Cao, Hong Sun, Wu Xie
2024 J jnl
Concept Stability Entropy: A Novel Group Cohesion Measure in Social Networks.
IEEE Trans. Emerg. Top. Comput.
Fei Hao, Jie Gao, Yaguang Lin, Yulei Wu, Jiaxing Shang
2024 A* conf
E2EMap: End-to-End Reinforcement Learning for CGRA Compilation via Reverse Mapping.
HPCA
Dajiang Liu, Yuxin Xia, Jiaxing Shang, Jiang Zhong, Peng Ouyang, Shouyi Yin
2024 J jnl
Graphformer: Adaptive graph correlation transformer for multivariate long sequence time series forecasting.
Knowl. Based Syst.
Yijie Wang, Hao Long, Linjiang Zheng, Jiaxing Shang
2024 J jnl
IMTCN: An Interpretable Flight Safety Analysis and Prediction Model Based on Multi-Scale Temporal Convolutional Networks.
IEEE Trans. Intell. Transp. Syst.
Xu Li, Jiaxing Shang, Linjiang Zheng, Qixing Wang, Dajiang Liu, Xiaodong Liu, Fan Li, Weiwei Cao, Hong Sun
2024 A* conf
PMP: Pattern Morphing-based Memory Partitioning in High-Level Synthesis.
DAC
Dajiang Liu, Decai Pan, Xiao Xiong, Jiaxing Shang, Shouyi Yin
2023 J jnl
AFCMiner: Finding Absolute Fair Cliques From Attributed Social Networks for Responsible Computational Social Systems.
IEEE Trans. Comput. Soc. Syst.
Fei Hao, Yixuan Yang, Jiaxing Shang, Doo-Soon Park
2023 J jnl
BT-CKBQA: An efficient approach for Chinese knowledge base question answering.
Data Knowl. Eng.
Erhe Yang, Fei Hao, Jiaxing Shang, Xiaoliang Chen, Doo-Soon Park
2023 A* conf
DARIC: A Data Reuse-Friendly CGRA for Parallel Data Access via Elastic FIFOs.
DAC
Dajiang Liu, Di Mou, Rong Zhu, Yan Zhuang, Jiaxing Shang, Jiang Zhong, Shouyi Yin
2023 J jnl
Deep Reinforcement Learning for Time-Energy Tradeoff Online Offloading in MEC-Enabled Industrial Internet of Things.
IEEE Trans. Netw. Sci. Eng.
Xianlong Jiao, Hongjun Ou, Shiguang Chen, Songtao Guo, Yuben Qu, Chaocan Xiang, Jiaxing Shang
2023 J jnl
Dual-LightGCN: Dual light graph convolutional network for discriminative recommendation.
Comput. Commun.
Wenqing Huang, Fei Hao, Jiaxing Shang, Wangyang Yu, Shengke Zeng, Carmen Bisogni, Vincenzo Loia
2023 J jnl
HMSG: Heterogeneous graph neural network based on Metapath SubGraph learning.
Knowl. Based Syst.
Mengya Guan, Xinjun Cai, Jiaxing Shang, Fei Hao, Dajiang Liu, Xianlong Jiao, Wancheng Ni
2023 J jnl
SDTAN: Scalable Deep Time-Aware Attention Network for Interpretable Hard Landing Prediction.
IEEE Trans. Intell. Transp. Syst.
Haodong Chen, Jiaxing Shang, Linjiang Zheng, Xu Li, Xiaodong Liu, Hong Sun, Xinbin Zhao, Liling Yu
2022 — conf
A Joint Framework for Knowledge Extraction from Flight Training Comments.
ChineseCSCW (1)
Yuxuan Zhang, Jiaxing Shang, Linjiang Zheng, Quanwang Wu, Weiwei Cao, Hong Sun
2022 — conf
CollaborateCas: Popularity Prediction of Information Cascades Based on Collaborative Graph Attention Networks.
DASFAA (1)
Xianren Zhang, Jiaxing Shang, Xueqi Jia, Dajiang Liu, Fei Hao, Zhiqing Zhang
2022 — conf
ConCas: Cascade Popularity Prediction Based on Topic-Aware Graph Contrastive Learning.
KSEM (1)
Chen Ling, Xianren Zhang, Jiaxing Shang, Dajiang Liu, Yong Li, Wu Xie, Baohua Qiang
2022 J jnl
CurveCluster+: Curve Clustering for Hard Landing Pattern Recognition and Risk Evaluation Based on Flight Data.
IEEE Trans. Intell. Transp. Syst.
Xu Li, Jiaxing Shang, Linjiang Zheng, Qixing Wang, Hong Sun, Lin Qi
2022 — conf
EBA: An Adaptive Large Neighborhood Search-Based Approach for Edge Bandwidth Allocation.
CollaborateCom (1)
Qinghong Hu, Qinglan Peng, Jiaxing Shang, Yong Li, Junjie He
2022 J jnl
HeDAN: Heterogeneous diffusion attention network for popularity prediction of online content.
Knowl. Based Syst.
Xueqi Jia, Jiaxing Shang, Dajiang Liu, Haidong Zhang, Wancheng Ni
2022 J jnl
IM2Vec: Representation learning-based preference maximization in geo-social networks.
Inf. Sci.
Ziwei Jin, Jiaxing Shang, Wancheng Ni, Liang Zhao, Dajiang Liu, Baohua Qiang, Wu Xie, Geyong Min
2022 — conf
RASTE: A Relation-Guided Joint Method for Aspect Sentiment Triplet Extraction.
SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta
Linyang Zhong, Jiaxing Shang, Linjiang Zheng, Fei Hao, Weiwei Cao, Hong Sun
2022 J jnl
SPIDER: A Social Computing Inspired Predictive Routing Scheme for Softwarized Vehicular Networks.
IEEE Trans. Intell. Transp. Syst.
Liang Zhao, Tong Zheng, Mingwei Lin, Ammar Hawbani, Jiaxing Shang, Chunlong Fan
2022 C conf
Social Information Popularity Prediction based on Heterogeneous Diffusion Attention Network.
SEKE
Xueqi Jia, Jiaxing Shang, Linjiang Zheng, Dajiang Liu, Weiwei Cao, Hong Sun
2022 A conf
Towards Energy-Efficient CGRAs via Stochastic Computing.
DATE
Bo Wang, Rong Zhu, Jiaxing Shang, Dajiang Liu
2021 — conf
A Graph Neural Network-Based Approach for Predicting Second Rise of Information Diffusion on Social Networks.
ChineseCSCW (2)
Jiaxing Shang, Yijie Wang, Yuxin Gong, Yanli Zou, Xinjun Cai
2021 J jnl
A multiion particle swarm optimization algorithm based on repellent and attraction forces.
Concurr. Comput. Pract. Exp.
Shufang Zhu, Shangbo Zhou, Jiaxing Shang, Limin Wang, Baohua Qiang
2021 B conf
Accepted Influence Maximization under Linear Threshold Model on Large-Scale Social Networks.
TrustCom
Xiaojuan Yang, Jiaxing Shang, Linjiang Zheng, Dajiang Liu, Shu Fu, Baohua Qiang
2021 B conf
BaCIM: Balanced Competitive Influence Maximization based on Blocked Reverse Influence Sampling.
MDM
Shuang Gao, Wu Xie, Jiaxing Shang, Dajiang Liu, Baohua Qiang
2021 J jnl
HMSG: Heterogeneous Graph Neural Network based on Metapath Subgraph Learning.
CoRR
Xinjun Cai, Jiaxing Shang, Fei Hao, Dajiang Liu, Linjiang Zheng
2021 A conf
Polyhedral-based Pipelining of Imperfectly-Nested Loop for CGRAs.
ICCAD
Dajiang Liu, Ting Liu, Xingyu Mo, Jiaxing Shang, Shouyi Yin
2021 J jnl
RNe2Vec: information diffusion popularity prediction based on repost network embedding.
Computing
Jiaxing Shang, Shuo Huang, Dingyang Zhang, Zixuan Peng, Dajiang Liu, Yong Li, Lexi Xu
2020 — conf
A Deep Sequence-to-Sequence Method for Aircraft Landing Speed Prediction Based on QAR Data.
WISE (2)
Zongwei Kang, Jiaxing Shang, Yong Feng, Linjiang Zheng, Dajiang Liu, Baohua Qiang, Ran Wei
2020 — conf
A Novel Influence Maximization-based Dynamic Forwarding Node Selection Scheme in SDVNs.
ISPA/BDCloud/SocialCom/SustainCom
Liang Zhao, Tong Zheng, Mingwei Lin, Ammar Hawbani, Jiaxing Shang
2020 — conf
A Review of Routing Protocols for Wireless Body Area Networks for Miner Safety.
ISPA/BDCloud/SocialCom/SustainCom
Yuchun Zhang, Liang Zhao, Junling Shi, Su Peng, Yunchong Guan, Jiaxing Shang
2020 J jnl
Attention-Aware Joint Location Constraint Hashing for Multi-Label Image Retrieval.
IEEE Access
Yingqi Zhang, Yong Feng, Jiaxing Shang, Mingliang Zhou, Baohua Qiang
2020 J jnl
DBGE: Employee Turnover Prediction Based on Dynamic Bipartite Graph Embedding.
IEEE Access
Xinjun Cai, Jiaxing Shang, Ziwei Jin, Feiyi Liu, Baohua Qiang, Wu Xie, Liang Zhao
2020 J jnl
FRWCAE: joint faster-RCNN and Wasserstein convolutional auto-encoder for instance retrieval.
Appl. Intell.
Yiyang Zhang, Yong Feng, Dajiang Liu, Jiaxing Shang, Baohua Qiang
2020 — conf
ITDT: An Iterative Decision Tree-based Approach for Telecom Customer Classification.
ISPA/BDCloud/SocialCom/SustainCom
Jiaxing Shang, Ziwei Jin, Yong Feng, Ran Wei, Baohua Qiang, Wu Xie
2020 — conf
RFRSF: Employee Turnover Prediction Based on Random Forests and Survival Analysis.
WISE (2)
Ziwei Jin, Jiaxing Shang, Qianwen Zhu, Chen Ling, Wu Xie, Baohua Qiang
2019 — conf
CoxRF: Employee Turnover Prediction Based on Survival Analysis.
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Qianwen Zhu, Jiaxing Shang, Xinjun Cai, Linli Jiang, Feiyi Liu, Baohua Qiang
2019 — conf
CurveCluster: Automated Recognition of Hard Landing Patterns Based on QAR Curve Clustering.
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Xu Li, Jiaxing Shang, Linjiang Zheng, Dajiang Liu, Lin Qi, Liu Liu
2019 J jnl
Data-Flow Graph Mapping Optimization for CGRA With Deep Reinforcement Learning.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Dajiang Liu, Shouyi Yin, Guojie Luo, Jiaxing Shang, Leibo Liu, Shaojun Wei, Yong Feng, Shangbo Zhou
2019 J jnl
TDCTFIC: A Novel Recommendation Framework Fusing Temporal Dynamics, CNN-Based Text Features and Item Correlation.
IEICE Trans. Inf. Syst.
Meng Ting Xiong, Yong Feng, Ting Wu, Jiaxing Shang, Baohua Qiang, Yanan Wang
2018 — conf
ExtTra: Short-Term Traffic Flow Prediction Based on Extremely Randomized Trees.
ICONIP (4)
Jiaxing Shang, Xiaofan Yan, Linhui Feng, Zheng Dong, Haojie Wang, Shangbo Zhou
2018 J jnl
LAIM: A Linear Time Iterative Approach for Efficient Influence Maximization in Large-Scale Networks.
IEEE Access
Hongchun Wu, Jiaxing Shang, Shangbo Zhou, Yong Feng, Baohua Qiang, Wu Xie
2018 — conf
SCE-MSPFS: A Novel Deep Convolutional Feature Selection Method for Image Retrieval.
ICONIP (6)
Dong-dong Niu, Yong Feng, Jiaxing Shang, Baohua Qiang
2018 B conf
Wasserstein Generative Recurrent Adversarial Networks for Image Generating.
ICPR
Chunping Zhang, Yong Feng, Baohua Qiang, Jiaxing Shang
2017 — conf
A Linear Time Algorithm for Influence Maximization in Large-Scale Social Networks.
ICONIP (5)
Hongchun Wu, Jiaxing Shang, Shangbo Zhou, Yong Feng
2017 — conf
App Uninstalls Prediction: A Machine Learning and Time Series Mining Approach.
ICONIP (5)
Jiaxing Shang, Jinghao Wang, Ge Liu, Hongchun Wu, Shangbo Zhou, Yong Feng
2017 J jnl
CoFIM: A community-based framework for influence maximization on large-scale networks.
Knowl. Based Syst.
Jiaxing Shang, Shangbo Zhou, Xin Li, Lianchen Liu, Hongchun Wu
2017 — conf
Effective Influence Maximization Based on the Combination of Multiple Selectors.
WASA
Jiaxing Shang, Hongchun Wu, Shangbo Zhou, Lianchen Liu, Hongbin Tang
2016 — conf
Fault Tolerance for Web Service Based on Component Importance in Service Networks.
ICNCC
Lu Chen, Lianchen Liu, Jiaxing Shang
2015 J jnl
A link prediction approach for item recommendation with complex number.
Knowl. Based Syst.
Feng Xie, Zhen Chen, Jiaxing Shang, Xiaoping Feng, Jun Li
2015 B conf
Item Similarity Learning Methods for Collaborative Filtering Recommender Systems.
AINA
Feng Xie, Zhen Chen, Jiaxing Shang, Wen-Liang Huang, Jun Li
2014 — conf
A Link Prediction Approach for Item Recommendation with Complex Number.
WI-IAT (2)
Feng Xie, Zhen Chen, Jiaxing Shang, Xiaoping Feng, Wen-Liang Huang, Jun Li
2014 J jnl
A Real-Time Detecting Algorithm for Tracking Community Structure of Dynamic Networks.
CoRR
Jiaxing Shang, Lianchen Liu, Feng Xie, Zhen Chen, Jiajia Miao, Xuelin Fang, Cheng Wu
2014 J jnl
Grey Forecast model for accurate recommendation in presence of data sparsity and correlation.
Knowl. Based Syst.
Feng Xie, Zhen Chen, Jiaxing Shang, Geoffrey C. Fox
2014 — conf
How Overlapping Community Structure Affects Epidemic Spreading in Complex Networks.
COMPSAC Workshops
Jiaxing Shang, Lianchen Liu, Feng Xie, Cheng Wu