Optimized GPU algorithms for sparse data problems by Pham, Nguyen Quang Anh

“…Our SpGEMM algorithm efficiently enumerates all the work done during a computation to achieve perfect load balancing, and also uses a randomized algorithm to nearly optimally partition the matrix into pieces small enough to be operated on using the fast but limited amount of shared memory. …”
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A hamming distance and spearman correlation based star identification algorithm by Samirbhai, Mehta Deval, Chen, Shoushun, Low, Kay Soon

“…The hamming distance approach provides a shortlisted list of star IDs. Thus, the proposed combination of hamming distance and Spearman correlation provides a reliable and fast recognition. …”
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RoboTSP - a fast solution to the robotic task sequencing problem by Suárez-Ruiz, Francisco, Lembono, Teguh Santoso, Pham, Quang-Cuong

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Asynchronous control network optimization using fast minimum cycle time analysis by Law, Chong Fatt, Gwee, Bah Hwee, Chang, Joseph Sylvester

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Real-time robust multi-lane detection and tracking in challenging urban scenarios by Zhou, Hui, Zhang, Handuo, Hasith, Karunasekera, Wang, Han

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A New Variational Method for Bias Correction and Its Applications to Rodent Brain Extraction by Chang, Huibin, Huang, Weimin, Wu, Chunlin, Huang, Su, Guan, Cuntai, Sekar, Sakthivel, Bhakoo, Kishore Kumar, Duan, Yuping

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Advances in 3D optical profilometry by Huang, Lei

“…A comparison of the transform-based algorithms for single-frame phase retrieval is conducted in the presence of noise and non-sinusoidal waveform conditions with simulation and experiment. …”
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Indoor occupancy estimation using environmental parameters by Masood, Khalid Mustafa

“…We study the performance of these algorithms with experimental data collected through a multi-sensory network in an office space. …”
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Crowd-based people detection using deep learning by Chen, Lei

“…Most object detection algorithms have low accuracy for small object detection and identification. …”
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