| 2026 | KSEM | CasCM: Modeling Intra- and Inter-Community Evolution for Cascade Popularity Prediction. | Yukun Zhou, Jiaxing Shang, Ruiyuan Li, Fei Hao |
| 2026 | WSDM | SARC: Sentiment-Augmented Deep Role Clustering for Fake News Detection. | Jingqing Wang, Jiaxing Shang, Rong Xu, Fei Hao, Tianjin Huang, Geyong Min |
| 2025 | ASPLOS | DynaX: Sparse Attention Acceleration with Dynamic X: M Fine-Grained Structured Pruning. | Xiao Xiong, Zhaorui Chen, Yue Liang, Minghao Tian, Jiaxing Shang, Jiang Zhong, Dajiang Liu |
| 2024 | DAC | PMP: Pattern Morphing-based Memory Partitioning in High-Level Synthesis. | Dajiang Liu, Decai Pan, Xiao Xiong, Jiaxing Shang, Shouyi Yin |
| 2024 | HPCA | E2EMap: End-to-End Reinforcement Learning for CGRA Compilation via Reverse Mapping. | Dajiang Liu, Yuxin Xia, Jiaxing Shang, Jiang Zhong, Peng Ouyang, Shouyi Yin |
| 2023 | DAC | 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 |
| 2022 | DASFAA | CollaborateCas: Popularity Prediction of Information Cascades Based on Collaborative Graph Attention Networks. | Xianren Zhang, Jiaxing Shang, Xueqi Jia, Dajiang Liu, Fei Hao, Zhiqing Zhang |
| 2022 | DATE | Towards Energy-Efficient CGRAs via Stochastic Computing. | Bo Wang, Rong Zhu, Jiaxing Shang, Dajiang Liu |
| 2022 | KSEM | 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 |
| 2022 | SEKE | Social Information Popularity Prediction based on Heterogeneous Diffusion Attention Network. | Xueqi Jia, Jiaxing Shang, Linjiang Zheng, Dajiang Liu, Weiwei Cao, Hong Sun |
| 2022 | UIC | RASTE: A Relation-Guided Joint Method for Aspect Sentiment Triplet Extraction. | Linyang Zhong, Jiaxing Shang, Linjiang Zheng, Fei Hao, Weiwei Cao, Hong Sun |
| 2021 | ICCAD | Polyhedral-based Pipelining of Imperfectly-Nested Loop for CGRAs. | Dajiang Liu, Ting Liu, Xingyu Mo, Jiaxing Shang, Shouyi Yin |
| 2021 | MDM | BaCIM: Balanced Competitive Influence Maximization based on Blocked Reverse Influence Sampling. | Shuang Gao, Wu Xie, Jiaxing Shang, Dajiang Liu, Baohua Qiang |
| 2021 | TrustCom | Accepted Influence Maximization under Linear Threshold Model on Large-Scale Social Networks. | Xiaojuan Yang, Jiaxing Shang, Linjiang Zheng, Dajiang Liu, Shu Fu, Baohua Qiang |
| 2020 | ISPA | A Novel Influence Maximization-based Dynamic Forwarding Node Selection Scheme in SDVNs. | Liang Zhao, Tong Zheng, Mingwei Lin, Ammar Hawbani, Jiaxing Shang |
| 2020 | ISPA | ITDT: An Iterative Decision Tree-based Approach for Telecom Customer Classification. | Jiaxing Shang, Ziwei Jin, Yong Feng, Ran Wei, Baohua Qiang, Wu Xie |
| 2020 | ISPA | 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 |
| 2020 | WISE | RFRSF: Employee Turnover Prediction Based on Random Forests and Survival Analysis. | Ziwei Jin, Jiaxing Shang, Qianwen Zhu, Chen Ling, Wu Xie, Baohua Qiang |
| 2020 | WISE | 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 |
| 2019 | UIC | CurveCluster: Automated Recognition of Hard Landing Patterns Based on QAR Curve Clustering. | Xu Li, Jiaxing Shang, Linjiang Zheng, Dajiang Liu, Lin Qi, Liu Liu |
| 2019 | UIC | CoxRF: Employee Turnover Prediction Based on Survival Analysis. | Qianwen Zhu, Jiaxing Shang, Xinjun Cai, Linli Jiang, Feiyi Liu, Baohua Qiang |
| 2018 | ICONIP | SCE-MSPFS: A Novel Deep Convolutional Feature Selection Method for Image Retrieval. | Dong-dong Niu, Yong Feng, Jiaxing Shang, Baohua Qiang |
| 2018 | ICONIP | ExtTra: Short-Term Traffic Flow Prediction Based on Extremely Randomized Trees. | Jiaxing Shang, Xiaofan Yan, Linhui Feng, Zheng Dong, Haojie Wang, Shangbo Zhou |
| 2018 | ICPR | Wasserstein Generative Recurrent Adversarial Networks for Image Generating. | Chunping Zhang, Yong Feng, Baohua Qiang, Jiaxing Shang |
| 2017 | ICONIP | App Uninstalls Prediction: A Machine Learning and Time Series Mining Approach. | Jiaxing Shang, Jinghao Wang, Ge Liu, Hongchun Wu, Shangbo Zhou, Yong Feng |
| 2017 | ICONIP | A Linear Time Algorithm for Influence Maximization in Large-Scale Social Networks. | Hongchun Wu, Jiaxing Shang, Shangbo Zhou, Yong Feng |
| 2015 | AINA | Item Similarity Learning Methods for Collaborative Filtering Recommender Systems. | Feng Xie, Zhen Chen, Jiaxing Shang, Wen-Liang Huang, Jun Li |
| 2014 | COMPSAC | How Overlapping Community Structure Affects Epidemic Spreading in Complex Networks. | Jiaxing Shang, Lianchen Liu, Feng Xie, Cheng Wu |