Publications
Conference Papers
(* denotes correspounding author.)
2025
[C25] Wuwei Tian, Liqiang Lu*, Siwei Tan, Yun Liang, Tingting Li, Kaiwen Zhou, Xinghui Jia, Jianwei Yin*: ARTERY: Fast Quantum Feedback using Branch Prediction Method. ISCA 2025.
[C24] Chenning Tao, Liqiang Lu*, Size Zheng, Li-Wen Chang, Minghua Shen, Hanyu Zhang, Fangxin Liu, Kaiwen Zhou, Jianwei Yin*: Qtenon: Towards Low-Latency Architecture Integration for Accelerating Hybrid Quantum-Classical Computing. ISCA 2025.
[C23] Kaiwen Zhou, Liqiang Lu*, Hanyu Zhang, Debin Xiang, Chenning Tao, Xinkui Zhao, Size Zheng, Jianwei Yin*: DyREM: Dynamically Mitigating Quantum Readout Error with Embedded Accelerator. DAC 2025.
[C22] Tianze Zhu, Liqiang Lu*, Jiajun Chen, Yuhang Chen, Hengrui Chen, Meng Xi, Jinshan Zhang, Xiaoming Sun, Jianwei Yin*: SAPO: Improving the Scalability and Accuracy of Quantum Linear Solver for Portfolio Optimization. DAC 2025.
[C21] Tianyao Chu#, Siwei Tan#, Liqiang Lu*, Jingwen Leng, Fangxin Liu, Congliang Lang, Yifan Guo, Jianwei Yin*: ArbiterQ: Improving QNN Convergency and Accuracy by Applying Personalized Model on Heterogeneous Quantum Devices. DAC 2025. (#These authors contributed equally.)
[C20] Siwei Tan, Liqiang Lu*, Debin Xiang, Tianyao Chu, Congliang Lang, Jintao Chen, Xing Hu, Jianwei Yin*: HornBro: Homotopy-like Method for Automated Quantum Program Repair. FSE 2025.
[C19] Tingting Li, Ziming Zhao, Liqiang Lu*, Siwei Tan, Jianwei Yin*: Empowering Quantum Error Traceability with MoE for Automatic Calibration. DATE 2025.
[C18] Debin Xiang#, Qifan Jiang#, Liqiang Lu*, Siwei Tan, Jianwei Yin*: Choco-Q: Commute Hamiltonian-based QAOA for Constrained Binary Optimization. HPCA 2025. (#These authors contributed equally.)
2024
[C17] Hanyu Zhang, Liqiang Lu*, Siwei Tan, Size Zheng, Jia Yu, Jianwei Yin*: SpREM: Exploiting Hamming Sparsity for Fast Quantum Readout Error Mitigation. DAC 2024. Download
[C16] Siwei Tan#, Debin Xiang#, Liqiang Lu*, Junlin Lu, Qiuping Jiang, Mingshuai Chen, Jianwei Yin*: MorphQPV: Exploiting Isomorphism in Quantum Programs to Facilitate Confident Verification. ASPLOS 2024. (#These authors contributed equally.) Download
[C15] Siwei Tan, Liqiang Lu*, Hanyu Zhang, Jia Yu, Congliang Lang, Yongheng Shang, Xinkui Zhao, Mingshuai Chen, Yun Liang, Jianwei Yin*: QuFEM: Fast and Accurate Quantum Readout Calibration Using the Finite Element Method. ASPLOS 2024. Download
2023
[C14] Zizhang Luo#, Liqiang Lu#, Yicheng Jin, Liancheng Jia, Yun Liang*: Calabash: Accelerating Attention Using a Systolic Array Chain on FPGAs. FPL 2023. (#These authors contributed equally.) Download
[C13] Siwei Tan, Congliang Lang, Liang Xiang, Shudi Wang, Xinghui Jia, Ziqi Tan, Tingting Li, Jieming Yin, Yongheng Shang, Andre Python, Liqiang Lu*, Jianwei Yin*: QuCT: A Framework for Analyzing Quantum Circuit by Extracting Contextual and Topological Features. MICRO 2023. Download
[C12] Zizhang Luo#, Liqiang Lu#, Size Zheng, Jieming Yin, Jason Cong, Jianwei Yin, Yun Liang*: Rubick: A Synthesis Framework for Spatial Architectures via Dataflow Decomposition. DAC 2023. (#These authors contributed equally.) Download
[C11] Siwei Tan, Mingqian Yu, Andre Python, Yongheng Shang, Tingting Li, Liqiang Lu*, Jianwei Yin*: HyQSAT: A Hybrid Approach for 3-SAT Problems by Integrating Quantum Annealer with CDCL. HPCA 2023. Download
2022
[C10] Size Zheng, Renze Chen, Anjiang Wei, Yicheng Jin, Qin Han, Liqiang Lu, Bingyang Wu, Xiuhong Li, Shengen Yan, Yun Liang*: AMOS: enabling automatic mapping for tensor computations on spatial accelerators with hardware abstraction. ISCA 2022. Download
2021
[C09] Liqiang Lu, Yicheng Jin, Hangrui Bi, Zizhang Luo, Peng Li, Tao Wang, Yun Liang*: Sanger: A Co-Design Framework for Enabling Sparse Attention using Reconfigurable Architecture. MICRO 2021. Download
[C08] Liancheng Jia, Zizhang Luo, Liqiang Lu, Yun Liang*: TensorLib: A Spatial Accelerator Generation Framework for Tensor Algebra. DAC 2021. Download
[C07] Liqiang Lu, Naiqing Guan, Yuyue Wang, Liancheng Jia, Zizhang Luo, Jieming Yin, Jason Cong, Yun Liang*: TENET: A Framework for Modeling Tensor Dataflow Based on Relation-centric Notation. ISCA 2021. Download
[C06] Liancheng Jia, Zizhang Luo, Liqiang Lu, Yun Liang*: Analyzing the Design Space of Spatial Tensor Accelerators on FPGAs. ISVLSI 2021. Download
2020
[C05] Qingcheng Xiao, Liqiang Lu, Jiaming Xie, Yun Liang*: FCNNLib: An Efficient and Flexible Convolution Algorithm Library on FPGAs. DAC 2020. Download
2019
[C04] Liqiang Lu, Jiaming Xie, Ruirui Huang, Jiansong Zhang, Wei Lin, Yun Liang*: An Efficient Hardware Accelerator for Sparse Convolutional Neural Networks on FPGAs. FCCM 2019. Download
2018
[C03] Liqiang Lu, Yun Liang*: SpWA: an efficient sparse winograd convolutional neural networks accelerator on FPGAs. DAC 2018. Download
2017
[C02] Qingcheng Xiao, Yun Liang*, Liqiang Lu, Shengen Yan, Yu-Wing Tai: Exploring Heterogeneous Algorithms for Accelerating Deep Convolutional Neural Networks on FPGAs. DAC 2017. Download
[C01] Liqiang Lu, Yun Liang*, Qingcheng Xiao, Shengen Yan: Evaluating Fast Algorithms for Convolutional Neural Networks on FPGAs. FCCM 2017. Download
Journal Publications
(* denotes correspounding author.)
2024
[J11] Liqiang Lu, Wuwei Tian, Xinghui Jia, Siwei Tan*, Zixuan Song, Jianwei Yin*: SmartQCache: Fast and Precise Pulse Control with Near-quantum Cache Design on FPGA. TCAD 2024.
[J10] Tingting Li, Liqiang Lu*, Ziming Zhao, Ziqi Tan, Siwei Tan, Jianwei Yin*: QuST: Optimizing Quantum Neural Network against Spatial and Temporal Noise Biases. TCAD 2024.
[J09] Liqiang Lu, Zizhang Luo, Size Zheng, Jieming Yin, Jason Cong, Yun Liang*, Jianwei Yin*: Rubick: A Unified Infrastructure for Analyzing, Exploring, and Implementing Spatial Architectures via Dataflow Decomposition. TCAD 2024, 43(4): 1177-1190 Download
2023
[J08] Liancheng Jia, Zizhang Luo, Liqiang Lu, Yun Liang*: Automatic Generation of Spatial Accelerator for Tensor Algebra. TCAD 2023, 42(6): 1898-1911 Download
2022
[J07] Yun Liang*, Qingcheng Xiao, Liqiang Lu, Jiaming Xie: FCNNLib: A Flexible Convolution Algorithm Library for Deep Learning on FPGAs. TCAD 2022, 41(8): 2546-2559 Download
[J06] Liqiang Lu, Yun Liang*: Morphling: A Reconfigurable Architecture for Tensor Computation. TCAD 2022, 41(11): 4733-4746 Download
2021
[J05] Yun Liang*, Liqiang Lu, Yinchen Jin, Jiaming Xie, Ruirui Huang, Jiansong Zhang, Wei Lin: An Efficient Hardware Design for Accelerating Sparse CNNs with NAS-Based Models. TCAD 2021, 41(3): 597-613 Download
[J04] Yun Liang*, Liqiang Lu, Jiaming Xie: OMNI: A Framework for Integrating Hardware and Software Optimizations for Sparse CNNs. TCAD 2021, 40(8): 1648-1661 Download
2020
[J03] Liancheng Jia, Liqiang Lu, Xuechao Wei, Yun Liang*: Generating Systolic Array Accelerators With Reusable Blocks. IEEE Micro 2020, 40(4): 85-92 Download
[J02] Liancheng Jia, Yun Liang*, Xiuhong Li, Liqiang Lu, Shengen Yan: Enabling Efficient Fast Convolution Algorithms on GPUs via MegaKernels. IEEE T. Comput. 2020, 69(7): 986-997 Download
[J01] Yun Liang*, Liqiang Lu, Qingcheng Xiao, Shengen Yan: Evaluating Fast Algorithms for Convolutional Neural Networks on FPGAs. TCAD 2020, 39(4): 857-870 Download