Hengyu Zhao, Yubo Zhang, Pingfan Meng, Hui Shi, Li Erran Li, Tiancheng Lou, Jishen Zhao. "Driving Scenario Perception-Aware Computing System Design in Autonomous Vehicles", IEEE International Conference on Computer Design (ICCD), Oct, 2020. (Best paper in track)
Hengyu Zhao, Yubo Zhang, Pingfan Meng, Hui Shi, Li Erran Li, Tiancheng Lou, Jishen Zhao. "Safety Score: A Quantitative Approach to Guiding Safety-Aware Autonomous Vehicle Computing System Design", IEEE Intelligent Vehicles Symposium, Oct, 2020.
Sabur Baidya, Yu-Jen Ku, Hengyu Zhao, Jishen Zhao, Sujit Dey. "Vehicular and Edge Computing for Emerging Connected and Autonomous Vehicle Applications", ACM/IEEE Design Automation Conference (DAC), July, 2020. (Invited Paper)
Saransh Gupta, Mohsen Imani, Hengyu Zhao, Fan Wu, Jishen Zhao, Tajana Rosing. "Implementing Binary Neural Networks in Memory with Approximate Accumulation", In ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), Aug. 2020.
Towards Safety-Aware Computing System Design in Autonomous Vehicles
Hengyu Zhao, Yubo Zhang, Pingfan Meng, Hui Shi, Li Erran Li, Tiancheng Lou, and Jishen Zhao
In arXiv repo
Processing-in-Memory for Energy-efficient Neural Network Training: A Heterogeneous Approach
Hengyu Zhao, Jiawen Liu, Matheus A. Ogleari, Dong Li, and Jishen Zhao
In the Proceedings of the International Symposium on Microarchitecture (MICRO), 2018 (Acceptance rate: 74/348=21%)
Leveraging MLC STT-RAM for Energy-efficient CNN Training
Hengyu Zhao and Jishen Zhao
In the Proceedings of the International Symposium on Memory Systems (MEMSYS), 2018
Approximate Image Storage with Multi-level Cell STT-MRAM Main Memory
Hengyu Zhao, Linuo Xue, Ping Chi, and Jishen Zhao
In the Proceedings of the International Conference On Computer Aided Design (ICCAD), 2017 (Acceptance rate: 105/399=26%)
Layer-wise Performance Bottleneck Analysis of Deep Neural Networks
Hengyu Zhao, Colin Weinshenker, Mohamed Ibrahim, Adwait Jog, Jishen Zhao
The 1st International Workshop on Architectures for Intelligent Machine
Exploring the Use of Volatile STT- RAM for Energy Efficient Video Processing
Hengyu Zhao, Hongbin Sun, Tai Min, Nanning Zheng.
Proceedings of International Symposium on Quality Electronic Design (ISQED), March 2016 (Best paper candidate)
Exploiting bit-depth scaling for quality-scalable energy efficient display processing
Qiubo Chen, Hengyu Zhao, Hongbin Sun, Nanning Zheng
Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS), May 2015.
Hengyu Zhao, Yubo Zhang, Pingfan Meng, Hui Shi, Li Erran Li, Tiancheng Lou, Jishen Zhao. "Safety Score: A Quantitative Approach to Guiding Safety-Aware Autonomous Vehicle Computing System Design", IEEE Intelligent Vehicles Symposium, Oct, 2020.
Sabur Baidya, Yu-Jen Ku, Hengyu Zhao, Jishen Zhao, Sujit Dey. "Vehicular and Edge Computing for Emerging Connected and Autonomous Vehicle Applications", ACM/IEEE Design Automation Conference (DAC), July, 2020. (Invited Paper)
Saransh Gupta, Mohsen Imani, Hengyu Zhao, Fan Wu, Jishen Zhao, Tajana Rosing. "Implementing Binary Neural Networks in Memory with Approximate Accumulation", In ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), Aug. 2020.
Towards Safety-Aware Computing System Design in Autonomous Vehicles
Hengyu Zhao, Yubo Zhang, Pingfan Meng, Hui Shi, Li Erran Li, Tiancheng Lou, and Jishen Zhao
In arXiv repo
Processing-in-Memory for Energy-efficient Neural Network Training: A Heterogeneous Approach
Hengyu Zhao, Jiawen Liu, Matheus A. Ogleari, Dong Li, and Jishen Zhao
In the Proceedings of the International Symposium on Microarchitecture (MICRO), 2018 (Acceptance rate: 74/348=21%)
Leveraging MLC STT-RAM for Energy-efficient CNN Training
Hengyu Zhao and Jishen Zhao
In the Proceedings of the International Symposium on Memory Systems (MEMSYS), 2018
Approximate Image Storage with Multi-level Cell STT-MRAM Main Memory
Hengyu Zhao, Linuo Xue, Ping Chi, and Jishen Zhao
In the Proceedings of the International Conference On Computer Aided Design (ICCAD), 2017 (Acceptance rate: 105/399=26%)
Layer-wise Performance Bottleneck Analysis of Deep Neural Networks
Hengyu Zhao, Colin Weinshenker, Mohamed Ibrahim, Adwait Jog, Jishen Zhao
The 1st International Workshop on Architectures for Intelligent Machine
Exploring the Use of Volatile STT- RAM for Energy Efficient Video Processing
Hengyu Zhao, Hongbin Sun, Tai Min, Nanning Zheng.
Proceedings of International Symposium on Quality Electronic Design (ISQED), March 2016 (Best paper candidate)
Exploiting bit-depth scaling for quality-scalable energy efficient display processing
Qiubo Chen, Hengyu Zhao, Hongbin Sun, Nanning Zheng
Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS), May 2015.