李夏青

基本信息

个人简介与招生意愿

【欢迎加入本课题组】

****2026年入学的硕士、博士，已经全部招满，欢迎2027年免试推免入学的研究生（3名）、博士生（1、2名）带简历成绩单等提前联系****

（1）如果你有志解决业界真实问题，做实用而有趣的研究，发表高水平文章，欢迎喜欢高性能计算、大模型计算系统等方向的同学报考我们的硕士，或本科阶段参与科研训练。我们的研究聚焦于AI系统优化、超参数自动调优、GPU加速技术、芯片设计智能化等前沿课题，致力于将理论创新转化为实际应用价值。

（2）我们与清华大学、中科院计算所等国内顶尖院所保持深度合作关系，为学生提供高水平的学术交流平台和保外、留学推荐机会。工业界与滴滴、小米、华为、字节跳动、阿里巴巴等企业团队紧密合作，优秀学生将获得大厂实习和独家内推资源。

（3）我们期待踏实、认真、务实，且对冲击本领域内顶级会议和期刊有强烈兴趣的同学加入。无论你是系统方向、人工智能方向，还是体系结构方向的背景，只要对大规模计算系统优化充满热情，不惧零基础，都欢迎随时邮件联系我。

研究方向

• 先进计算与高性能计算
• 大数据技术与工程
• 计算机技术
• 生成式人工智能与安全
• 人工智能
• 软件工程
• 新一代电子信息技术

招生专业

• 计算机科学与技术硕士
• 新一代电子信息技术（含量子技术等）硕士
• 计算机技术硕士
• 人工智能硕士
• 软件工程硕士
• 大数据技术与工程硕士

科研项目

• 国家自然基金委面上项目, 大模型自动化超参数调优的扩展性研究，主持
• 校企合作项目，面向xx业务场景的大模型推理框架性能评测方法研究，主持
  
• 中央高校人才基金，面向高效自动化机器学习的关键技术研究， 主持
• 北斗时空信息服务管理及融合应用关键技术研究， 参与
• 面向异构算力的模型计算图切分方法研究， 参与
• 基于可微表征技术的三维场景感知与重建研究， 参与
  
• 中国工程院战略研究与咨询项目，xxxx战略研究，参与
• 国家任务，xxxx设计，参与
• 战略性先导，xxxx关键技术，参与
• 国家自然基金委面上项目，资源全局共享的存储阵列关键技术研究，参与
• 科技部973课题，网络大数据计算系统架构体系与评价方法研究，参与
  

论文/期刊

代表性论文（体系结构和高性能计算领域）：

• [TPDS]    Xiaqing Li, Qi Guo, Guangyan Zhang, Siwei Ye, Guanhua He, Yiheng Yao, Yifan Hao, Zidong Du, Wei min Zheng.  FastTuning: Enabling Fast and Efficient Hyper-Parameter Tuning with Partitioning and Parallelism of Search Space,  IEEE Transactions on Parallel and Distributed Systems (TPDS), Volume:35, Issue:7, Pages:1174 - 1188, July 2024. ( CCF-A类)
• [TPDS]    Xiaqing Li, Guangyan Zhang, Weimin Zheng. SmartTuning: Selecting HyperParameters of a ConvNet System for Fast Training and Small Working Memory.  IEEE Transactions on Parallel and Distributed Systems (TPDS), Volume: 32, Issue: 7, Pages: 1690-1701. July 2021.  ( CCF-A类)
• [TPDS]   Xiaqing Li, Guangyan Zhang, Zhufan Wang, Weimin Zheng. HyConv: Accelerating Multi-phase CNN Computation by Fine-grained Policy Selection. IEEE Transactions on Parallel and Distributed Systems (TPDS), Volume: 30, Issue: 2, Pages: 388 - 399. Feb. 2019.  ( CCF-A类)
• [ICPP]    Xiaqing Li, Guangyan Zhang, H. Howie Huang, Zhufan Wang and Weimin Zheng. "Performance Analysis of GPU-based Convolutional Neural Networks," in the Proceedings of the 45th International Conference on Parallel Processing (ICPP-2016), Philadelphia, PA USA, August 2016.  ( CCF-B类)
• [TC] Jun Bi, Yuanbo Wen, Xiaqing Li, Yongwei Zhao, Yuxuan Guo, Enshuai Zhou, Xing Hu, Zidong Du, Ling Li, Huaping Chen, Tianshi Chen, Qi Guo: "Efficient and Fast High-Performance Library Generation for Deep Learning Accelerators," IEEE Trans. Computers 74(1): 155-169 (2025)  ( CCF-A类)
• [TCAD] Chongxiao Li, Di Huang, Pengwei Jin, Tianyun Ma, Husheng Han, Shuyao Cheng, Yifan Hao, Yongwei Zhao, Guanglin Xu, Zidong Du, Rui Zhang, Xiaqing Li, Yuanbo Wen, Yanjun Wu, Chen Zhao, Xing Hu, Qi Guo. VariPar: Variation-Aware Workload Partitioning in Chiplet-Based DNN Accelerators. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD).  May 2025.  ( CCF-A类)
  
• [TMC] Jianhang Xie, Chuntao Ding, Xiaqing Li, Shenyuan Ren, Yidong Li, Zhichao Lu: "NestQuant: Post-Training Integer-Nesting Quantization for On-Device DNN," IEEE Transactions on Mobile Computing (2025)  ( CCF-A类)
• [TCAD] Pengwei Jin, Zhe Fan, Yongwei Zhao, Zidong Du, Hongrui Guo, Ziyuan Nan, Yifan Hao, Chongxiao Li, Tianyun Ma, Zhenxing Zhang, Xiaqing Li, Wei Li, Xing Hu, Qi Guo, Zhiwei Xu, Tianshi Chen. SaaP: Rearchitect SoC-as-a-Processor to Orchestrate Hardware Heterogeneity, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), Volume:44, Issue:10, Pages:3962 - 3975, 2025. ( CCF-A类)
• [TCAD] Ximing Liu, Yongwei Zhao, Mo Zou, Yang Liu, Yifan Hao, Xiaqing Li, Rui Zhang, Yuanbo Wen, Xing Hu, Zidong Du, Qi Guo, Tianshi Chen. VariPar: Variation-Aware Workload Partitioning in Chiplet-Based DNN Accelerators, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), Volume:44, Issue:12, Pages:4643 - 4656, 2025. ( CCF-A类)
• [NeurIPS] Haochen Li, Rui Zhang, Hantao Yao, Xin Zhang, Yifan Hao, Xinkai Song, Xiaqing Li, Yongwei Zhao, Yunji Chen, Ling Li: "DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection," NeurIPS 2024 ( CCF-A类)

• [ICCAD] Zhengyang Lv, Xiaqing Li, Zidong Du, Qi Guo. "Explainable and Layout-Aware Timing Prediction," 2024 ACM/IEEE International Conference on Computer-Aided Design (ICCAD-2024), Volume: 35, July 2024. ( CCF-B类)
• [SCIS] Wenkai He, Xiaqing Li, Xinkai Song, Yifan Hao, Rui Zhang, Zidong Du, Yunji Chen. "Chip design with machine learning: a survey from algorithm perspective," Science China Information Science (SCIS), Oct 19, 2023. ( CCF-A类)
• [ICLR] Jun Bi, Xiaqing Li, Qi Guo, Rui Zhang, Yuanbo Wen, Xing Hu, Zidong Du, Xinkai Song, Yifan Hao, Yunji Chen. "BALTO: Efficient Tensor Program Optimization with Diversity-Based Active Learning," International Conference on Learning Representations (ICLR 2023).  （TH-CPL(清华计算机学科群)推荐A类国际会议)
• [TC] Jun Bi, Yuanbo Wen, Xiaqing Li, Yongwei Zhao, Yuxuan Guo, Enshuai Zhou, Zidong Du, Ling Li, Huaping Chen, Tianshi Chen, Qi Guo. Efficient and Fast High-performance Library Generation for Deep Learning Accelerators. IEEE Transactions on Computers (TC).  Pages: 1-14, October 2024.  ( CCF-A类) 
• [ASPLOS] Bi Jun, Qi Guo, Xiaqing Li, Yongwei Zhao, Yuanbo Wen, Yuxuan Guo, Enshuai Zhou, Xing Hu, Zidong Du, Ling Li, Huaping Chen, Tianshi Chen. "Heron: Automatically Constrained High-performance Library Generation for Deep Learning Accelerators," Proceedings of the 28th Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'23), in Canada, Volume 3: 314-328.  ( CCF-A类)
• [JCST] Zhen-Xing Zhang, Yuan-Bo Wen, Han-Qi Lv, Chang Liu, Rui Zhang, Xia-Qing Li, Chao Wang, Zi-Dong Du, Qi Guo, Ling Li, Xue-Hai Zhou, Yun-Ji Chen. AI computing systems for LLMs training: a review[J]. Journal of Computer Science and Technology.  ( CCF-B类)
• [MICRO] Yi Chen, Yongwei Zhao, Yifan Hao, Yuntao Dai, Yang Liu, Rui Zhang, Mo Zou, Yuanbo Wen, Xinkai Song, Xiaqing Li, Xing Hu, Zidong Du, Huaping Chen, Qi Guo, Tianshi Chen. "EMP: Efficient 4-bit Matrix Unit via Primitivization," The 57th ACM/IEEE International Symposium on Microarchitecture (MICRO 2024). ( CCF-A类)
• [ASPLOS] Husheng Han, Xinyao Zheng, Yifan Hao, Ling Liang, Erhu Feng, Jianan Mu, Xiaqing Li, Tianyun Ma, Pengwei Jin, Yuanbo Wen, Xinkai Song, Zidong Du, Qi Guo, Xing Hu. "TensorTEE: Unified Granularity Heterogeneous TEE for Efficient Secure Collaborative Computing," Proceedings of the 28th Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'24). ( CCF-A类)
• [DAC] Shuyao Cheng, Chongxiao Li, Zidong Du, Rui Zhang, Xing Hu, Xiaqing Li, Guanglin Xu, Yuanbo Wen, Qi Guo. "Revisiting Automatic Pipelining: Gate-level Forwarding and Speculation," Design Automation Conference 2024 (DAC'24), July 2024. ( CCF-A类)
• [ISCA] Weihao Kong, Yifan Hao, Yongwei Zhao, Xinkai Song, Xiaqing Li, Mo Zou, Rui Zhang, Xing Hu, Wei Li, Zidong Du, Qi Guo, Zhiwei Xu, Tianshi Chen. "Cambricon-D: Full-Network Differential Acceleration for Diffusion Models," The 51st Annual International Symposium on Computer Architecture 2024 (ISCA '24). ( CCF-A类)
• [MICRO] Hongrui Guo, Yongwei Zhao, Zhangmai Li, Yifan Hao, Chang Liu, Xinkai Song, Xiaqing Li, Zidong Du, Rui Zhang, Qi Guo, Tianshi Chen, Zhiwei Xu. "Cambricon-U: A Systolic Random Increment Memory Architecture for Unary Computing," The 56th ACM/IEEE International Symposium on Microarchitecture (MICRO 2023). ( CCF-A类)
• [MICRO] Yifan Hao, Yongwei Zhao, Chenxiao Liu, Zidong Du, Shuyao Cheng, Xiaqing Li, Xing Hu, Qi Guo, Zhiwei Xu, Tianshi Chen. "Cambricon-P: A Bitflow Architecture for Arbitrary Precision Computing," The 55th ACM/IEEE International Symposium on Microarchitecture (MICRO 2022).  ( CCF-A类)
• [ICML] Yuanbo Wen, Qi Guo, Qiang Fu, Xiaqing Li, Jianxing Xu, Yanlin Tang, Yongwei Zhao, Xing Hu, Zidong Du, Ling Li, Chao Wang, Xuehai Zhou, Yunji Chen. "BabelTower: Learning to Auto-parallelized Program Translation," International Conference on Machine Learning (ICML), July 2022. ( CCF-A类)
• [MCSoC] Bao Zhenshan, Guo Junnan, Xiaqing Li, and Zhang Wenbo. "MSCU: Accelerating CNN Inference with Multiple Sizes of Compute Unit on FPGAs," IEEE MCSoC, 2021.     

专利

• 张广艳, 李夏青, 郑纬民; 一种卷积神经网络的计算方法及系统, 2021-1-5, ZL201810646058.1. 

软件著作权

获奖与荣誉

社会兼职

中国计算机协会（CCF）：

• 信息存储分会执行委员

Session Chair:

• Theory and Protocols, IEEE ICPADS

TPC Member:

• IEEE ICPADS
• HPC China
• SuperComputing (SC)

•  IEEE Transactions on Parallel and Distributed Systems (TPDS)
•  IEEE Transactions on Cloud Computing (TCC) 
•  IEEE Transactions on Computer (TC)
•  Parallel Computing (PC)
•  Journal of Parallel and Distributed Computing (JPDC)
•  SCIENCE CHINA Information Sciences
•  Transactions on Mobile Computing (TMC)
•  软件学报