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Research News

New Publication WACV'18

November 10, 2017

Kai Xu's paper "CSVideoNet: A Real-time End-to-end Learning Framework for High-frame-rate Video Compressive Sensing" is accepted to the IEEE Winter Conference on Applications of Computer Vision (WACV'18).

Link: Paper | Research Projects: CSVideoNet: A Real-time End-to-end Learning Framework for High-frame-rate Video Compressive Sensing

New Publication GeoAI'17

November 7, 2017

Our paper "Recognizing Terrain Features on Terrestrial Surface Using a Deep Learning Model--An Example with Crater Detection", co-authored with Prof. Wenwen Li (Arizona State University), is presented in the 1st Workshop on GeoAI: AI and Deep Learning for Geographic Knowledge Discovery (GeoAI'17).

Link: Paper |

New Publication AAAI'18

November 7, 2017
Our paper "SqueezedText: A Real-time Scene Text Recognition by Binary Convolutional Encoder-decoder Network", co-authored with Prof. Hao Yu (Southern University of Science and Technology of China) and Prof. Wangling Goh (Nanyang Technological University), is accepted to the 32nd AAAI Conference on Artificial Intelligence. 
 
Link: Paper | Research Projects: A Binary Convolutional Encoder-decoder Network for Real-time Natural Scene Text Processing

New Publication JETC'18

October 24, 2017

Yixing's paper "A GPU-Outperforming FPGA Accelerator Architecture for Binary Convolutional Neural Networks", co-authored with Prof. Hao Yu (Southern University of Science and Technology of China), will appear in the Special Issue on Frontiers of Hardware and Algorithms for On-chip Learning​ ​of the ​​ACM Journal on Emerging Technologies in Computing (JETC).

Link: Paper | Research Projects: A GPU-Outperforming FPGA Accelerator Architecture for Binary Convolutional Neural Networks

New Publication ICASSP'17

December 12, 2016

Kai Xu's paper "A Data-Driven Compressive Sensing Framework Tailored for Energy-efficient Wearable Sensing" is accepted to the 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'17).

Link: Paper | Research Projects: A Data-Driven Compressive Sensing Framework Tailored For Energy-Efficient Wearable Sensing

New Publication NIPS'16

December 9, 2016

Our paper "A Binary Convolutional Encoder-decoder Network for Real-time Natural Scene Text Processing", co-authored with Prof. Hao Yu (Nanyang Technological University), is presented in the Workshop on Efficient Methods for Deep Neural Networks at the Neural Information Processing Systems Conference (NIPS'16).

Link: Paper | Research Projects: A Binary Convolutional Encoder-decoder Network for Real-time Natural Scene Text Processing

New Publication TBioCAS'16

July 3, 2016

Yuhao Wang's paper "Data-driven Sampling Matrix Boolean Optimization for Energy-Efficient Biomedical Signal Acquisition by Compressive Sensing", co-authored with Prof. Hao Yu (Nanyang Technological University) and Prof. Xin Li (CMU), will appear in IEEE Transactions on Biomedical Circuits and Systems (TBioCAS).

Link: Paper | Research Projects: A Data-Driven Compressive Sensing Framework Tailored For Energy-Efficient Wearable Sensing

New Publication ISPD'16

April 3, 2016

Our paper "A Compressive-sensing based Testing Vehicle for 3D TSV Pre-bond and Post-bond Testing Data", co-authored with Prof. Hao Yu (Nanyang Technological University), is presented at the International Symposium on Physical Design (ISPD'16).

Link: Paper |

New Publication EL'16

March 17, 2016

Our paper "9-bit time–digital-converter-assisted Compressive-sensing Analogue–digital-converter with 4 GS/s Equivalent Speed", co-authored with Prof. M.-C. F. Chang (UCLA), is published in IET Electronics Letters (EL).

Link: Paper |

New Publication TCAS-II'16

March 4, 2016
Our paper "An 8-Bit Compressive Sensing ADC With 4GS/s Equivalent Speed Utilizing Self-Timed Pipeline SAR-Binary-Search", co-authored with Prof. M.-C. F. Chang (UCLA), is published in IEEE Transactions on Circuits and Systems II: Express Briefs (TCAS-II).
 
Link: Paper |

New Publication ICASSP'16

December 21, 2015

Kai Xu's paper "An Energy-Efficient Compressive Sensing Framework Incorporating Online Dictionary Learning for Long-Term Wireless Health Monitoring" is accepted to the 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'16).

Link: Paper | Research Projects: An Energy-efficient Compressive Sensing Framework Incorporating Online Dictionary Learning for Long-Term Wireless Health Monitoring

New Publication JSSC'15

September 12, 2015

Prof. Ren's invited paper "A Configurable 12–237 kS/s 12.8 mW Sparse-Approximation Engine for Mobile Data Aggregation of Compressively Sampled Physiological Signals", co-authored with Prof. Dejan Marković (UCLA), will appear in the January special issue of IEEE Journal of Solid-State Circuits (JSSC).  

Link: Paper | Research Projects: Scalable VLSI Architectures for Sparse Approximation

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