| 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 | DATE | Optimizing Imperfectly-Nested Loop Mapping on CGRAs via Polyhedral-Guided Flattening. | Xingyu Mo, Yawen Li, Dajiang Liu |
| 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 |
| 2024 | ICCAD | DISC: Exploiting Data Parallelism of Non-Stencil Computations on CGRAs via Dynamic Iteration Scheduling. | Yue Liang, Di Mou, Dajiang Liu |
| 2023 | ASPDAC | Towards High-Bandwidth-Utilization SpMV on FPGAs via Partial Vector Duplication. | Bowen Liu, Dajiang Liu |
| 2023 | DAC | Optimizing Data Reuse for CGRA Mapping Using Polyhedral-based Loop Transformations. | Liao Huang, Dajiang Liu |
| 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 |
| 2023 | SYSTOR | Optimizing Memory Allocation for Multi-Subgraph Mapping on Spatial Accelerators. | Lei Lei, Decai Pan, Dajiang Liu, Peng Ouyang, Xueliang Du |
| 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 | DATE | RF-CGRA: A Routing-Friendly CGRA with Hierarchical Register Chains. | Rong Zhu, Bo Wang, Dajiang Liu |
| 2022 | ICCAD | Towards High-Quality CGRA Mapping with Graph Neural Networks and Reinforcement Learning. | Yan Zhuang, Zhihao Zhang, 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 |
| 2021 | ICCAD | Polyhedral-based Pipelining of Imperfectly-Nested Loop for CGRAs. | Dajiang Liu, Ting Liu, Xingyu Mo, Jiaxing Shang, Shouyi Yin |
| 2021 | ICONIP | Dynamic Convolution Pruning Using Pooling Characteristic in Convolution Neural Networks. | Yu Zhang, Dajiang Liu, Yongkang Xing |
| 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 | 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 |
| 2017 | FPGA | Learning Convolutional Neural Networks for Data-Flow Graph Mapping on Spatial Programmable Architectures (Abstract Only). | Shouyi Yin, Dajiang Liu, Lifeng Sun, Xinhan Lin, Leibo Liu, Shaojun Wei |
| 2017 | ISCAS | DFGNet: Mapping dataflow graph onto CGRA by a deep learning approach. | Shouyi Yin, Dajiang Liu, Lifeng Sun, Leibo Liu, Shaojun Wei |
| 2015 | DATE | Joint affine transformation and loop pipelining for mapping nested loop on CGRAs. | Shouyi Yin, Dajiang Liu, Leibo Liu, Shaojun Wei, Yike Guo |
| 2014 | FCCM | Exploiting Outer Loop Parallelism of Nested Loop on Coarse-Grained Reconfigurable Architectures. | Dajiang Liu, Shouyi Yin, Leibo Liu, Shaojun Wei |
| 2013 | DAC | Polyhedral model based mapping optimization of loop nests for CGRAs. | Dajiang Liu, Shouyi Yin, Leibo Liu, Shaojun Wei |
| 2013 | ISCAS | Affine transformations for communication and reconfiguration optimization of loops on CGRAs. | Dajiang Liu, Shouyi Yin, Leibo Liu, Shaojun Wei |