| 2025 | ICA3PP | Multi-modal Parallelism Scheduling for Heterogeneous Multicore Computing Systems. | Lei Gao, Jingfei Jiang, Jinwei Xu |
| 2025 | ICASSP | DiffRS: An Extensible Diffusion Model for Remote Sensing Image Generation. | Xinyue Huang, Xin Niu, Jingfei Jiang, Hengyue Pan |
| 2025 | IJCNN | NP4Q: Nice Point for Post-training Quantization of Object Detection Models. | Shunan Zhou, Jingfei Jiang, Jingwei Xu, Liangwei Li, Minghua Zhu |
| 2024 | HPCC | HPFIA: A High-Performance Fuzzy Inference Accelerator for Situation Assessment on Airborne Equipment. | Lei Gao, Jingfei Jiang, Jinwei Xu |
| 2024 | ISPA | Funnel: An Efficient Sparse Attention Accelerator with Multi-Dataflow Fusion. | Shenghong Ma, Jinwei Xu, Jingfei Jiang, Yaohua Wang, Dongsheng Li |
| 2024 | KSEM | Multi-relation Neural Network Recommendation Model Based on Knowledge Graph Embedding Algorithm. | Hongpu Liu, Jingfei Jiang, Kaixin Wang, Lingshu Kong, Jingshu Wang |
| 2023 | EuroPar | Auto-Divide GNN: Accelerating GNN Training with Subgraph Division. | Hongyu Chen, Zhejiang Ran, Keshi Ge, Zhiquan Lai, Jingfei Jiang, Dongsheng Li |
| 2023 | HPCC | SMVAR: A Novel RNN Accelerator Based on Non-blocking Data Distribution Structure. | Jinwei Xu, Jingfei Jiang, Shiyao Xu, Lei Gao |
| 2022 | ICCD | Sparkle: A High Efficient Sparse Matrix Multiplication Accelerator for Deep Learning. | Shiyao Xu, Jingfei Jiang, Jinwei Xu, Chaorun Liu, Yuanhong He, Xiaohang Liu, Lei Gao |
| 2022 | ICPADS | MLPs: Efficient Training of MiniGo on Large-scale Heterogeneous Computing System. | Peng Qiao, Zhouyu He, Rongchun Li, Jingfei Jiang, Yong Dou, Dongsheng Li |
| 2022 | ICTAI | Evaluating a New Attention Framework Based on Matrix Blocking for Attention Models on FPGAs. | Xiaohang Liu, Jingfei Jiang, Jinwei Xu, Lei Gao |
| 2020 | NPC | A Dynamic Mapping Model for General CNN Accelerator Based on FPGA. | Xiaoqiang Zhao, Jingfei Jiang, Zhe Han, Jinwei Xu, Zhiqiang Liu |
| 2019 | ICCV | Enhancing 2D Representation via Adjacent Views for 3D Shape Retrieval. | Cheng Xu, Zhaoqun Li, Qiang Qiu, Biao Leng, Jingfei Jiang |
| 2017 | ACIIDS | A Super-Vector Deep Learning Coprocessor with High Performance-Power Ratio. | Jingfei Jiang, Zhiqiang Liu, Jinwei Xu, Rongdong Hu |
| 2017 | ASPLOS | Customized Architecture Technology for High Performance Computing. | Jingfei Jiang |
| 2016 | GPC | Improved Survey Propagation on Graphics Processing Units. | Yang Zhao, Jingfei Jiang, Pengbo Wu |
| 2015 | IJCNN | Optimized deep belief networks on CUDA GPUs. | Teng Li, Yong Dou, Jingfei Jiang, Yueqing Wang, Qi Lv |
| 2013 | FPGA | Effect of fixed-point arithmetic on deep belief networks (abstract only). | Jingfei Jiang, Rongdong Hu, Mikel Lujn |
| 2010 | HPCC | An Efficient Coding Scheme for Tolerating Double Disk Failures. | Rongdong Hu, Guangming Liu, Jingfei Jiang |
| 2009 | CASES | Fine-grained parallel application specific computing for RNA secondary structure prediction using SCFGS on FPGA. | Yong Dou, Fei Xia, Jingfei Jiang |
| 2009 | FCCM | A Fine-grained Pipelined Implementation of the LINPACK Benchmark on FPGAs. | Guiming Wu, Yong Dou, Yuanwu Lei, Jie Zhou, Miao Wang, Jingfei Jiang |