| 2026 | DATE | LATIAS: A General Architecture-Operator Model for Spatial Accelerators with Complex Topology and Memory Hierarchy. | Chengrui Zhang, Liancheng Jia, Chu Wang, Tianqi Li, Renze Chen, Xiuping Cui, Size Zheng, Shengen Yan, Xiuhong Li, Yu Wang, Xiang Chen, Yun (Eric) Liang |
| 2025 | ICCAD | Invited Paper: APS: Open-Source Hardware-Software Co-Design Framework for Agile Processor Specialization. | Youwei Xiao, Yuyang Zou, Yansong Xu, Yuhao Luo, Yitian Sun, Chenyun Yin, Ruifan Xu, Renze Chen, Yun Liang |
| 2024 | ASPLOS | MAGIS: Memory Optimization via Coordinated Graph Transformation and Scheduling for DNN. | Renze Chen, Zijian Ding, Size Zheng, Chengrui Zhang, Jingwen Leng, Xuanzhe Liu, Yun Liang |
| 2024 | DAC | MoteNN: Memory Optimization via Fine-grained Scheduling for Deep Neural Networks on Tiny Devices. | Renze Chen, Zijian Ding, Size Zheng, Meng Li, Yun Liang |
| 2024 | ICCAD | MCUBERT: Memory-Efficient BERT Inference on Commodity Microcontrollers. | Zebin Yang, Renze Chen, Taiqiang Wu, Ngai Wong, Yun Liang, Runsheng Wang, Ru Huang, Meng Li |
| 2024 | ICCAD | FlexHE: A flexible Kernel Generation Framework for Homomorphic Encryption-Based Private Inference. | Jiangrui Yu, Wenxuan Zeng, Tianshi Xu, Renze Chen, Yun Liang, Runsheng Wang, Ru Huang, Meng Li |
| 2023 | HPCA | Chimera: An Analytical Optimizing Framework for Effective Compute-intensive Operators Fusion. | Size Zheng, Siyuan Chen, Peidi Song, Renze Chen, Xiuhong Li, Shengen Yan, Dahua Lin, Jingwen Leng, Yun Liang |
| 2022 | ISCA | AMOS: enabling automatic mapping for tensor computations on spatial accelerators with hardware abstraction. | Size Zheng, Renze Chen, Anjiang Wei, Yicheng Jin, Qin Han, Liqiang Lu, Bingyang Wu, Xiuhong Li, Shengen Yan, Yun Liang |
| 2020 | ASPLOS | FlexTensor: An Automatic Schedule Exploration and Optimization Framework for Tensor Computation on Heterogeneous System. | Size Zheng, Yun Liang, Shuo Wang, Renze Chen, Kaiwen Sheng |