CALAS

We welcome to the team Vanora, the new CALAS PhD Candidate. Ms. Haoyu WANG (Vanora) is from SUSTech, Shenzhen. Warm welcome and all the success in the Ph.D. journey.

Congratulations! Our joint manuscript with Prof. Qiang Liu of TJU, titled “An Efficient FPGA-based Depthwise Separable Convolutional Neural Network Accelerator with Hardware Pruning,” has been accepted for publication in ACM Transactions on Reconfigurable Technology and Systems (TRETS).

Many Congratulations to our CALAS members, Gary, Dr. Yao, Dr. Winston, Gavin and Candice, for their paper being accepted in IEEE Internet of Things Journal (IEEE IoT-J, IF: 10.238). The title of the paper is “REALISE-IoT: RISC-V Based Efficient and Lightweight Public-key System for IoT Applications”.

CALAS got successfully funded $1.4M for the 2nd ITF project “Post-Quantum Resistant RISC-V Computing Platform”. We are actively looking for Postdoc, PhD candidate, and Research Assistant for this project. Please send your CV and research profile to Prof. Ray from cccheung at ieee.org.

https://www.itf.gov.hk

Many congratulations! Prof. Ray has been successfully promoted to full professor in the CityU EE department. Believe such an exciting promotion can help our CALAS group create a higher impact. Let’s keep up to do good work.

Many congratulations! Prof. Ray has been successfully promoted to Associate Provost (Digital Learning) at CityU.

Congratulations to Henry for winning the second prize in the CityU EE symposium poster presentation this year!

Welcome Prof. Peter Cheung, head of the Dyson School of Design Engineering from Imperial College London, for visiting the CALAS group.

Many Congratulations to our CALAS members, Shuai, Jerry, and Leo, for their paper being accepted in International Geoscience and Remote Sensing Symposium (IGARSS) 2023. The title of the paper is “CO-DETECTOR: TOWARDS COMPLEX OBJECT DETECTION WITH CROSS-PART FEATURE LEARNING IN REMOTE SENSING”.

Many Congratulations to our CALAS member, Shuai Yuan(Shuai), for his paper being accepted in Remote Sensing. The paper’s title is “MUREN: MUlti-stage Recursive Enhanced Network for Coal-fired Power Plant Detection”.