Liqiang Lu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
35
Venues
11
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
35 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | HPCA | ORANGE: Exploring Ockham's Razor for Neural Rendering by Accelerating 3DGS on NPUs with GEMM-Friendly Blending and Balanced Workloads. | Haomin Li, Yun Liang, Fangxin Liu, Bowen Zhu, Zongwu Wang, Yu Feng, Liqiang Lu, Li Jiang, Haibing Guan |
| 2026 | HPCA | CLINE: Improving Control Flow Compilation of Quantum Programs with Control Line Encoding. | Anbang Wu, Liqiang Lu, Jianwei Yin, Jingwen Leng, Minyi Guo |
| 2026 | HPCA | TENET-v2: Applying Relation-Centric Notation to Model and Optimize Data Swizzle in the Cache of Modern NPU. | Hanyu Zhang, Fangxu Guo, Liqiang Lu, Long Wang, Yunfei Du, Zhe Wang, Jinghan Zhang, Jie Zhang, Chenli Xue, Chengpeng Wu, Ziyi Zhang, Yun Liang, Size Zheng, Jianwei Yin |
| 2026 | ISCA | STEP: Adaptive Spatio-Temporal Expert Prefetching for Low-Latency and Memory-Efficient MoE Inference. | Fangxin Liu, Ning Yang, Zongwu Wang, Chenyang Guan, Haomin Li, Yu Feng, Liqiang Lu, Xiang Li, Siran Yang, Jiamang Wang, Lin Qu, Li Jiang, Haibing Guan |
| 2025 | DAC | ArbiterQ: Improving QNN Convergency and Accuracy by Applying Personalized Model on Heterogeneous Quantum Devices. | Tianyao Chu, Siwei Tan, Liqiang Lu, Jingwen Leng, Fangxin Liu, Congliang Lang, Yifan Guo, Jianwei Yin |
| 2025 | DAC | PISA: Efficient Precision-Slice Framework for LLMs with Adaptive Numerical Type. | Ning Yang, Zongwu Wang, Qingxiao Sun, Liqiang Lu, Fangxin Liu |
| 2025 | DAC | DyREM: Dynamically Mitigating Quantum Readout Error with Embedded Accelerator. | Kaiwen Zhou, Liqiang Lu, Hanyu Zhang, Debin Xiang, Chenning Tao, Xinkui Zhao, Size Zheng, Jianwei Yin |
| 2025 | DAC | SAPO: Improving the Scalability and Accuracy of Quantum Linear Solver for Portfolio Optimization. | Tianze Zhu, Liqiang Lu, Jiajun Chen, Yuhang Chen, Hengrui Chen, Meng Xi, Jinshan Zhang, Xiaoming Sun, Jianwei Yin |
| 2025 | DATE | Empowering Quantum Error Traceability with MoE for Automatic Calibration. | Tingting Li, Ziming Zhao, Liqiang Lu, Siwei Tan, Jianwei Yin |
| 2025 | HPCA | Choco-Q: Commute Hamiltonian-based QAOA for Constrained Binary Optimization. | Debin Xiang, Qifan Jiang, Liqiang Lu, Siwei Tan, Jianwei Yin |
| 2025 | ICCAD | VeriRL: Boosting the LLM-based Verilog Code Generation via Reinforcement Learning. | Fu Teng, Miao Pan, Xuhong Zhang, Zhezhi He, Yiyao Yang, Xinyi Chai, Mengnan Qi, Liqiang Lu, Jianwei Yin |
| 2025 | IJCAI | Horae: A Domain-Agnostic Language for Automated Service Regulation. | Yutao Sun, Mingshuai Chen, Tiancheng Zhao, Kangjia Zhao, He Li, Jintao Chen, Zhongyi Wang, Liqiang Lu, Xinkui Zhao, Shuiguang Deng, Jianwei Yin |
| 2025 | ISCA | Qtenon: Towards Low-Latency Architecture Integration for Accelerating Hybrid Quantum-Classical Computing. | Chenning Tao, Liqiang Lu, Size Zheng, Li-Wen Chang, Minghua Shen, Hanyu Zhang, Fangxin Liu, Kaiwen Zhou, Jianwei Yin |
| 2025 | ISCA | ARTERY: Fast Quantum Feedback using Branch Prediction. | Wuwei Tian, Liqiang Lu, Siwei Tan, Yun Liang, Tingting Li, Kaiwen Zhou, Xinghui Jia, Jianwei Yin |
| 2025 | MICRO | Rasengan: A Transition Hamiltonian-based Approximation Algorithm for Solving Constrained Binary Optimization Problems. | Qifan Jiang, Liqiang Lu, Debin Xiang, Tianyao Chu, Tianze Zhu, Jingwen Leng, Yun Liang, Xiaoming Sun, Jianwei Yin |
| 2025 | MICRO | Vegapunk: Accurate and Fast Decoding for Quantum LDPC Codes with Online Hierarchical Algorithm and Sparse Accelerator. | Kaiwen Zhou, Liqiang Lu, Debin Xiang, Chenning Tao, Anbang Wu, Jingwen Leng, Fangxin Liu, Mingshuai Chen, Jianwei Yin |
| 2025 | MICRO | YOUTIAO: Hybrid Multiplexing with Dynamic Qubit Grouping for Low-cost and Scalable Quantum Wiring. | Wuwei Tian, Liqiang Lu, Siwei Tan, Shiyu Li, Hengyi Li, Tianyao Chu, Xuhong Zhang, Mingshuai Chen, Jianwei Yin |
| 2024 | ASPLOS | QuFEM: Fast and Accurate Quantum Readout Calibration Using the Finite Element Method. | Siwei Tan, Liqiang Lu, Hanyu Zhang, Jia Yu, Congliang Lang, Yongheng Shang, Xinkui Zhao, Mingshuai Chen, Yun Liang, Jianwei Yin |
| 2024 | ASPLOS | MorphQPV: Exploiting Isomorphism in Quantum Programs to Facilitate Confident Verification. | Siwei Tan, Debin Xiang, Liqiang Lu, Junlin Lu, Qiuping Jiang, Mingshuai Chen, Jianwei Yin |
| 2024 | DAC | SpREM: Exploiting Hamming Sparsity for Fast Quantum Readout Error Mitigation. | Hanyu Zhang, Liqiang Lu, Siwei Tan, Size Zheng, Jia Yu, Jianwei Yin |
| 2023 | DAC | Rubick: A Synthesis Framework for Spatial Architectures via Dataflow Decomposition. | Zizhang Luo, Liqiang Lu, Size Zheng, Jieming Yin, Jason Cong, Jianwei Yin, Yun Liang |
| 2023 | FPL | Calabash: Accelerating Attention Using a Systolic Array Chain on FPGAs. | Zizhang Luo, Liqiang Lu, Yicheng Jin, Liancheng Jia, Yun Liang |
| 2023 | HPCA | HyQSAT: A Hybrid Approach for 3-SAT Problems by Integrating Quantum Annealer with CDCL. | Siwei Tan, Mingqian Yu, Andre Python, Yongheng Shang, Tingting Li, Liqiang Lu, Jianwei Yin |
| 2023 | ICCAD | QPulseLib: Accelerating the Pulse Generation of Quantum Circuit with Reusable Patterns. | Wuwei Tian, Xinghui Jia, Siwei Tan, Zixuan Song, Liqiang Lu, Jianwei Yin |
| 2023 | MICRO | QuCT: A Framework for Analyzing Quantum Circuit by Extracting Contextual and Topological Features. | Siwei Tan, Congliang Lang, Liang Xiang, Shudi Wang, Xinghui Jia, Ziqi Tan, Tingting Li, Jieming Yin, Yongheng Shang, Andre Python, Liqiang Lu, Jianwei Yin |
| 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 |
| 2021 | DAC | TensorLib: A Spatial Accelerator Generation Framework for Tensor Algebra. | Liancheng Jia, Zizhang Luo, Liqiang Lu, Yun Liang |
| 2021 | ISCA | TENET: A Framework for Modeling Tensor Dataflow Based on Relation-centric Notation. | Liqiang Lu, Naiqing Guan, Yuyue Wang, Liancheng Jia, Zizhang Luo, Jieming Yin, Jason Cong, Yun Liang |
| 2021 | MICRO | Sanger: A Co-Design Framework for Enabling Sparse Attention using Reconfigurable Architecture. | Liqiang Lu, Yicheng Jin, Hangrui Bi, Zizhang Luo, Peng Li, Tao Wang, Yun Liang |
| 2020 | DAC | FCNNLib: An Efficient and Flexible Convolution Algorithm Library on FPGAs. | Qingcheng Xiao, Liqiang Lu, Jiaming Xie, Yun Liang |
| 2019 | FCCM | An Efficient Hardware Accelerator for Sparse Convolutional Neural Networks on FPGAs. | Liqiang Lu, Jiaming Xie, Ruirui Huang, Jiansong Zhang, Wei Lin, Yun Liang |
| 2019 | FPGA | Speedy: An Accelerator for Sparse Convolutional Neural Networks on FPGAs. | Liqiang Lu, Yun Liang, Ruirui Huang, Wei Lin, Xiaoyuan Cui, Jiansong Zhang |
| 2018 | DAC | SpWA: an efficient sparse winograd convolutional neural networks accelerator on FPGAs. | Liqiang Lu, Yun Liang |
| 2017 | DAC | Exploring Heterogeneous Algorithms for Accelerating Deep Convolutional Neural Networks on FPGAs. | Qingcheng Xiao, Yun Liang, Liqiang Lu, Shengen Yan, Yu-Wing Tai |
| 2017 | FCCM | Evaluating Fast Algorithms for Convolutional Neural Networks on FPGAs. | Liqiang Lu, Yun Liang, Qingcheng Xiao, Shengen Yan |