个人简介：娄文启，中国科学技术大学软件学院副研究员、硕士生导师，CCF体系结构专委会执行委员。2018年毕业于西北工业大学计算机学院，获学士学位；2023年获中国科学技术大学系统结构博士学位，师从周学海教授、王超教授。主要从事智能加速器体系结构与软硬件协同优化研究，第一作者或通讯作者论文20余篇；获授权发明专利5项。主持国家自然科学基金青年科学基金项目、江苏省自然科学基金青年基金项目、校级科研项目及企业合作项目，曾获江苏省自然科学奖三等奖、安徽省教学成果一等奖等科研与教学奖励。
电子邮箱：louwenqi@ustc.edu.cn
办公地址：中国科学技术大学苏州高等研究院绍钧楼508室
个人主页：http://home.ustc.edu.cn/~louwenqi/
主要研究方向
1. 人工智能高效推理的软硬件协同设计：面向FPGA/GPU平台，研究神经网络结构与加速器协同设计、模型量化与剪枝、算子优化及高效推理架构。
2. 人工智能驱动的硬件设计自动化：研究基于机器学习的设计空间探索、性能与资源预测、硬件设计优化，以及面向高层次综合（HLS）的自动化代码生成。
获奖与荣誉
• 2026年，中国计算机实践教育联合会（CPEC）最佳报告奖、计算机类课程实验教学案例一等奖。
• 2025年，安徽省教学成果一等奖；中国科学技术大学教学成果特等奖。
• 2025年，江苏省青年科技人才托举工程入选者、江苏省双创博士。
• 2024年度，江苏省自然科学奖三等奖。
• 2022年，Intel Fellowship。
主要学术论文
1. Wenqi Lou, Hongbing Wen, Zihao Wang, Jiale Dong, Teng Wang, Lei Gong, Chao Wang, Xuehai Zhou. “AlloBit: Algorithm-Hardware Co-Design for Group-Wise Mixed-Bit LLM Inference on FPGA.” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2026.（CCF-A）
2. Wenqi Lou, Zihao Wang, Yunji Qin, Cheng Tang, Lei Gong, Chao Wang, Xianglan Chen, Xuehai Zhou. “A Co-optimized Quantization and Attention Fusion for Energy-Efficient FPGA Acceleration of Long-Input Transformer Encoders.” IEEE Transactions on Computers (TC), 2026.（CCF-A）
3. Cheng Tang, Guochong Sui, Wenqi Lou*, Zihan Wang, Jiayi Tuo, Wenqian Xie, Yinkang Gao, Yixuan Zhu, Lei Gong, Chao Wang*, Xuehai Zhou. “CloserToMe: A Unified Framework for Accurate and Transferable Latency Prediction across Heterogeneous Devices.” AAAI Conference on Artificial Intelligence (AAAI), 2026.（CCF-A）
4. Haoran Xue, Teng Wang*, Qianyu Cheng, Zhendong Zheng, Wenqi Lou*, Lei Gong, Xi Li, Xuehai Zhou. "Efficient HLS Accelerator Floorplan on Multi-Die FPGA Aided by Graph Neural Networks", ACM/IEEE Design Automation Conference (DAC), 2026:1-7. (CCF-A)
5. Yiming Liu, Wenqi Lou*, Zhiguang Wang, Zhiwei Ke, Fengrui Zuo, Chao Wang, Xuehai Zhou. "Realizable N:M Sparse Transformer Inference via Search–Kernel Co-Design", 32nd International European Conference on Parallel and Distributed Computing (EURO-PAR), 2026:1-14. (CCF-B)
6. Wei Fu# , Wenqi Lou#*, Cheng Tang, Hongbing Wen, Yunji Qin, Lei Gong, Chao Wang*, Xuehai Zhou. “UniCoS: A Unified Neural and Accelerator Co-Search Framework for CNNs and ViTs.” Design Automation Conference (DAC), 2025.（CCF-A）
7. Wenqi Lou, Yunji Qin, Zihao Wang, Chao Wang*, Lei Gong, Xuehai Zhou. “Automated FPGA Accelerator Generation Framework for Transformers with Dataflow Optimization.” International Conference on Parallel Processing (ICPP), 2025.（CCF-B）
8. Jiale Dong, Wenqi Lou*, Hao Wu, Zhendong Zheng, Yunji Qin, Lei Gong, Chao Wang*, Xuehai Zhou. "MoE-Sched: Enabling Efficient FPGA Deployment of Mixture-of-Experts Vision Transformers via Coordinated Scheduling", IEEE Transactions on Very Large Scale Integration Systems (TVLSI), 2026, 34(1):104 - 117. (CCF-B)
9. Wenqi Lou, Yunji Qin, Xuan Wang, Lei Gong, Chao Wang, Xuehai Zhou. “FlexBCM: Hybrid Block-Circulant Neural Network and Accelerator Co-Search on FPGAs.” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 43(11):3852–3863, 2024.（CCF-A）
10. Wenqi Lou, Lei Gong, Chao Wang, Jiaming Qian, Xuan Wang, Changlong Li, Xuehai Zhou. “Unleashing Network/Accelerator Co-Exploration Potential on FPGAs: A Deeper Joint Search.” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 43(10):3041–3054, 2024.（CCF-A）
11. Wenqi Lou, Jiaming Qian, Lei Gong, Xuan Wang, Chao Wang, Xuehai Zhou. "NAF: Deeper Network/Accelerator Co-Exploration for Customizing CNNs on FPGA", Design, Automation & Test in Europe Conference & Exhibition (DATE). IEEE, 2023:1-6. (CCF-B, Top Conference in EDA)
12. Wenqi Lou, Lei Gong, Chao Wang, Zidong Du, Xuehai Zhou. "OctCNN: A High Throughput FPGA Accelerator for CNNs Using Octave Convolution Algorithm", IEEE Transactions on Computers (IEEE TC), 2022, 71(8): 1847-1859. (CCF-A)
13. 娄文启,王超,宫磊,周学海.一种神经网络指令集扩展与代码映射机制.软件学报, 2020. (CCF-T1中文期刊)
14. Wenqi Lou, Chao Wang, Lei Gong, Xuehai Zhou. "RV-CNN: Flexible and efficient instruction set for CNNs based on RISC-V processors". Advanced Parallel Processing Technologies: 13th International Symposium (APPT), 2019. (CCF-C)