Fei Qiao, PhD
Associate Professor, Tsinghua University
Office: Rohm Building, Room 4302
PhD, Tsinghua University (2006)
BS, Lanzhou University (2000)
iVip Research Group (integrated Vision, intelligent perception)
We are trying to realize artificial perception systems with various electronic technologies, which could be applied to enhance environmental awareness of organism and robots, as well as IOT devices for environment monitoring.
- Integrated artificial perception systems for robotics, edge computing and wearable computing applications
- Heterogeneous hardware accelerators on CPU/GPU/FPGA/NCS for learning based streaming processing
- Artificial visual, hearing and tactile perception systems
- X computing architectures for energy-efficient integrated signal processing and machine learning systems with novel devices, circuit topologies and methodologies
- Approximate computing
- Physical computing
- Reconfigurable computing
Nan Wu, Zheyu Liu, Fei Qiao, Qi Wei, Xiaojun Guo, Yuan Xie, and Huazhong Yang, “A Real-Time and Energy-Efficient Implementation of Difference-of- Gaussian with Flexible Thin-Film Transistors”, accepted by ISVLSI 2016.
Xinghua Yang, Yue Xing, Fei Qiao, Qi Wei, and Huazhong Yang, “Approximate Adder with Hybrid Prediction and Error Compensation Technique”, accepted by ISVLSI 2016.
Yuanchang Chen, Xinghua Yang, Fei Qiao, Jie Han, Qi Wei and Huazhong Yang, “A Multi-Accuracy-Level Approximate Memory Architecture Based on Data Significance Analysis”, accepted by ISVLSI 2016.
Xueshi Li, Xinghua Yang, Fei Qiao, Qi Wei, Huazhong Yang, “Design of Accuracy Configurable Approximate Multi-latency Multipliers for Quality-Resilient Applications”, accepted by ISNE 2016.
Yi Li, Fei Qiao, Xinghua Yang, Qi Wei and Huazhong Yang. “A Precision- Improved Processing Architecture of Physical Computing for Energy-efficient SIFT Feature Extraction”, accepted by ICASSP. 2016.