I am a Ph.D. student at the Institute of Computing Technology of Chinese Academy of Sciences under the supervision of Professor Yinhe Han and Professor Xiaowei Li. My research interests primarily focus on the area of Hardware/Software Co-design for reducing power and improving performance with specialized brain-inspired accelerators.

Journals

• Jiajun Li, Haoxo Xu, Yujie Wang, Hang Xiao, Ying Wang, Yinhe Han, Xiaowei Li. Design and Training of Binarized Neural Networks for Highly Efficient Accelerators. Journal of Computer-Aided Design & Computer Graphics (JCAD), 2022.
• Hang Xiao, Haoxo Xu, Ying Wang, Jiajun Li, Yujie Wang, Yinhe Han. Energy-Efficient Bit-Pragmatic Architecture for Convolutional Neural Network. Journal of Computer-Aided Design & Computer Graphics (JCAD), 2022.
• Feng Min, Ying Wang, Haobo Xu, Yujie Wang, Jiajun Li, Xingqi Zou, Yinhe Han. Dadu-eye: A 5.3 TOPS/W, 30fps/1080p High Accuracy Stereo Vision Accelerator. IEEE Transactions on Circuits and Systems I (TCAS1), 2021. (SCI, IF=3.605) [PDF]
• Shichang Zhang, Yujie Wang, Hang Xiao, Haobo Xu, Jiajun Li, Ying Wang. Binary-weight neural network chip supporting CNN and LSTM. Chinese High Technology Letters. [PDF]
• Bosheng Liu, Xiaoming Chen, Yinhe Han, Jiajun Li, Haobo Xu, Xiaowei Li. Accelerating DNN-based 3D Point Cloud Processing for Mobile Computing. the SCIENCE CHINA Information Sciences, 2019. (SCI, IF=2.731) [PDF]
• Cong Shi, Jiajun Li, Ying Wang, and Gang Luo. Exploiting Lightweight Statistical Learning for Event-Based Vision Processing. In IEEE Acess, 2018. (SCI, IF=3.557) [PDF]

Conferences

• Bosheng Liu, Xiaoming Chen, Yinhe Han, Ying Wang, Jiajun Li, Haobo Xu, Xiaowei Li. Search-free Accelerator for Sparse Convolutional Neural Networks. In IEEE/ACM Proceedings of 25th Asia and South Pacific Design Automation Conference (ASP-DAC’20). [PDF]
• Haobo Xu, Ying Wang, Yujie Wang, Jiajun Li, Bosheng Liu and Yinhe Han. ACG-Engine: An Inference Accelerator for Content Generative Neural Networks. In IEEE/ACM Proceedings of 2019 International Conference On Computer Aided Design (ICCAD’19). [PDF]
• Jiajun Li, Ying Wang, Yujie Wang, Haobo Xu, Bosheng Liu, Yinhe Han, Xiaowei Li. TURNT: Learning Multiply-Free Neural Networks for Low-Power Keyword Spotting Accelerators. (Poster). 2019 International Conference on Computer Design (ICCD’19).
• Jiajun Li, Ying Wang, Bosheng Liu, Yinhe Han, and Xiaowei Li. Simulate-the-hardware: Training Accurate Binarized Neural Networks for Low-Precision Neural Accelerators. In IEEE/ACM Proceedings of 24th Asia and South Pacific Design Automation Conference (ASP-DAC’19). [PDF]
• Bosheng Liu, Xiaoming Chen, Ying Wang, Yinhe Han, Jiajun Li, Haobo Xu, Xiaowei Li. Addressing the Issue of Processing Element Under-Utilization in General-Purpose Systolic Deep Learning Accelerators. In IEEE/ACM Proceedings of 24th Asia and South Pacific Design Automation Conference (ASP-DAC’19). [PDF]
• Jiajun Li, Ying Wang, Yinhe Han, and Xiaowei Li. Training Effective Binarized Neural Networks for Intelligent Edge Devices Neural Network Accelerator. In Proceedings of Chinese Testing Conference (CTC’18).
• Ying Wang, Zhenyu Quan, Jiajun Li, Yinhe Han, Huawei Li, and Xiaowei Li. A Retrospective Evaluation of Energy-Efficient Object Detection Solutions for Embedded Devices. In IEEE/ACM Proceedings of 2018 Design, Automation and Test in Europe conference (DATE’18). [PDF]
• Cheng Wang, Ying Wang, Yinhe Han, Lili Song, Zhenyu Quan, Jiajun Li, and Xiaowei Li. CNN-based object detection solutions for embedded heterogeneous multi-core SoCs. In IEEE/ACM Proceedings of 22nd Asia and South Pacific Design Automation Conference (ASP-DAC’17). [PDF]

Others

• Jiajun Li, Zhiming Li. A Method of Testing the Convergence of Series. Studies in College Mathematics, 2014. [PDF]
  I am grateful to Prof. Zhiming Li for the guidance in my first-year undergraduate.

Reviewer of

• IEEE Signal Processing Letter (SPL)
• IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
• ACM Knowledge Discovery and Data Mining (KDD)
• Transactions on Emerging Topics in Computing (TETC)

Review Committee of

• CCF Conference on Natural Language Processing and Chinese Computing 2022

Doctoral

• Jun 2022, Excellent Graduate, University of Chinese Academy of Sciences.
• Jan 2020, First Class Scholarship, University of Chinese Academy of Sciences.
• May 2019, Government-Sponsored Scholarship for Visiting Ph.D. Student, China Scholarship Council.
• Jan 2019, Director’s Scholarship for Excellence, Institute of Computing Technology of Chinese Academy of Sciences.
• Jun 2018, Excellent Student Cadre, University of Chinese Academy of Sciences.
• Apr 2017, Badminton Championship of Capital Universities (2nd), Federation of University Sports of Beijing.
• Jan 2017, Excellent B.E. Degree Thesis of Hubei Province, Hubei Provincial Department of Education.
• Dec 2016, Chinese Academy of Sciences Undergraduate Scholarship, Chinese Academy of Sciences.
• May 2016, Low-Power Image Recognition Challenge 2016 (First Prize), IEEE Rebooting Computing.

Undergraduate

• Nov 2014, National Scholarship, Ministry of Education of the People’s Republic of China.
• Nov 2014, 19th FIRA RoboWorld Cup 2014 (2nd), Federation of International Robot-soccer Association.
• Dec 2013, Academician Scholarship, China University of Geosciences (Wuhan).
• Dec 2012, First Prize of Higher Mathematics Competition, China University of Geosciences (Wuhan).

Address

• No.6 Kexueyuan South Road Zhongguancun,
• Haidian District Beijing,
• China, 100190

Email

• lijiajun01 [at] ict [dot] ac [dot] cn

Socail

• Fackbook     Zhihu     LinkedIn