Peng Li

No problem can be solved until it is reduced to some simple form.

avatar

Associate Researcher

Intelligent Software Research Center
Institute of Software
Chinese Academy of Sciences

Experiences

  • 2021.07 - Present, Associate Researcher, Institute of Software, Chinese Academy of Sciences
  • 2020.09 - Present, Co-founder and CEO, Hangzhou Aisketcher Co. Ltd
  • 2019.08 - 2021.07, Researcher, Advanced Institute of Information Technology, Peking University
  • 2017.01 - 2019.07, Co-founder and CEO, Beijing Jouletek Co. Ltd
  • 2014.11 - 2016.12, Director, Intelligent Electronics Division， Suzhou Zijing Qingyuan New Energy Vehicle Technology Co. Ltd
  • 2013.11 - 2014.10, Research Fellow, Vast Laboratory, Computer Science Department, University of California at Los Angeles
  • 2011.11 - 2013.10, Postdoctoral Scholar, Center for Energy-Efficient Computing and Applications, Peking University
  • 2008.01 - 2011.10, Senior Research Scientist, Communication Technology Lab, Intel Labs China

Education

  • 2002 - 2008 PhD, Computer Science, Tsinghua University
  • 1998 - 2002 BS, Computer Science, Harbin Institute of Technology

Selected Publications ( Full List )

  1. Wei Zuo, Peng Li, Deming Chen, Pouchet Louis-Noel, Shunan Zhong, and Jason Cong. Improving Polyhedral Code Generation for High-Level Synthesis. In Proceedings of the Annual International Conference on Hardware/Software Codesign and System Synthesis, CODES-ISSS ’13, Best Paper Award (1 out of 111 submissions) , pages 1–10, 2013.
  2. Chen Zhang, Peng Li, Guangyu Sun, Yijin Guan, Bingjun Xiao, and Jason Cong. Exploring FPGA-based Accelerator Design for Deep Convolutional Neural Networks. In Proceedings of the ACM/SIGDA International Symposium on Field Programmable Gate Arrays, FPGA’15, Nomination for Best Paper Award , pages 161–170, 2015.
  3. Fei Gao, Jingjie Zhu, Weiyu Weng, Chenyang Jiang, Xiang Li, Xiao Zhu, Lingna Dai, Peng Li. High-quality Face Sketch Synthesis via Geometric Normalization and Regularization. Accepted by the IEEE International Conference on Multimedia and Expo (ICME) 2021, Demo Track, Best Demo Runner up Award ,ICME’21.
  4. Wenqi Zhang, Kai Zhao, Peng Li, Xiao Zhu, Yongliang Shen, Yanna Ma, Yingfeng Chen, Weiming Lu, A Closed-Loop Perception, Decision-Making and Reasoning Mechanism for Human-Like Navigation. Accepted by the 31st International Joint Conference on Artificial Intelligence (IJCAI 2022).
  5. 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. In Proceedings of the 54th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO 2021), pages 977-991, October 16-20, 2021, Athens, Greece
  6. Wenqi Zhang, Kai Zhao, Peng Li*, Xiao Zhu, Faping Ye, Weijie Jiang, Huiqiao Fu, Tao Wang. Learning to Navigate in a VUCA Environment: Hierarchical Multi-expert Approach. In Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS’21, pages 9254-9261, 2021.
  7. Huiqiao Fu, Kaiqiang Tang, Peng Li, Wenqi Zhang, Xinpeng Wang, Guizhou Deng, Tao Wang, Chunlin Chen. Deep Reinforcement Learning for Multi-contact Motion Planning of Hexapod Robots. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI 2021), pages 2381–2388, Virtual Event / Montreal, Canada, 19-27, August 2021.
  8. Fei Gao，Jingjie Zhu，Zeyuan Yu，Peng Li* and Tao Wang. Making Robots Draw A Vivid Portrait In Two Minutes. In Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS’20, pages 9585-9591, 2020.
  9. Guangyu Sun, Chao Zhang, Peng Li, Tao Wang, and Yiran Chen. Statistical Cache Bypassing for Non-Volatile Memory. IEEE Transaction on Computers, 65:3427–3440, 2016.
  10. Peng Li, Peng Zhang, Pouchet Louis-Noel, and Jason Cong. Resource-Aware Throughtput Optimization for High-Level Synthesis. In Proceedings of the ACM/SIGDA International Symposium on Field Programmable Gate Arrays, FPGA’15, pages 200–209, 2015.
  11. Jason Cong, Peng Li, Bingjun Xiao, and Peng Zhang. An Optimal Microarchitecture for Stencil Computation Acceleration based on Non-Uniform Partitioning of Data Reuse Buffers. In Proceedings of the 51th Annual Design Automation Conference, DAC’14, pages 407–418, 2014.
  12. Peng Li, Yuxin Wang, Peng Zhang, Guojie Luo, Tao Wang, and Jason Cong. Memory Partitioning and Scheduling Co-Optimization in Behavioral Synthesis. In Proceedings of the International Conference on Computer-Aided Design, ICCAD ’12, pages 488–495, New York, NY, USA, 2012. ACM.