no code implementations • 15 Dec 2023 • Jason Chun Lok Li, Rui Lin, Jiajun Zhou, Edmund Yin Mun Lam, Ngai Wong
Despite the decomposition of convolutional kernels for lightweight CNNs being well studied, existing works that rely on tensor network diagrams or hyperdimensional abstraction lack geometry intuition.
no code implementations • 14 Nov 2023 • Rui Lin, Jason Chun Lok Li, Jiajun Zhou, Binxiao Huang, Jie Ran, Ngai Wong
Most deep neural networks (DNNs) consist fundamentally of convolutional and/or fully connected layers, wherein the linear transform can be cast as the product between a filter matrix and a data matrix obtained by arranging feature tensors into columns.
no code implementations • 25 Sep 2023 • Haokun Song, Rui Lin, Andrea Sgambelluri, Filippo Cugini, Yajie Li, Jie Zhang, Paolo Monti
We propose a cluster-based method to detect and locate eavesdropping events in optical line systems characterized by small power losses.
no code implementations • 25 Jun 2023 • Binxiao Huang, Rui Lin, Chaofan Tao, Ngai Wong
Deep neural networks (DNNs) are incredibly vulnerable to crafted, imperceptible adversarial perturbations.
no code implementations • 24 Dec 2022 • Binxiao Huang, Chaofan Tao, Rui Lin, Ngai Wong
Deep neural networks are incredibly vulnerable to crafted, human-imperceptible adversarial perturbations.
no code implementations • 13 Aug 2022 • Jie Ran, Rui Lin, Jason Chun Lok Li, Jiajun Zhou, Ngai Wong
A novel deep neural network (DNN) architecture is proposed wherein the filtering and linear transform are realized solely with product quantization (PQ).
1 code implementation • 29 Mar 2022 • Rui Lin, Cong Chen, Ngai Wong
Existing low-rank tensor completion (LRTC) approaches aim at restoring a partially observed tensor by imposing a global low-rank constraint on the underlying completed tensor.
1 code implementation • NeurIPS 2021 • Rui Lin, Jie Ran, King Hung Chiu, Graziano Chesi, Ngai Wong
We introduce a new kind of linear transform named Deformable Butterfly (DeBut) that generalizes the conventional butterfly matrices and can be adapted to various input-output dimensions.
no code implementations • 16 Mar 2022 • Binxiao Huang, Chaofan Tao, Rui Lin, Ngai Wong
We are hopeful this work can shed light on the design of more robust neural networks.
no code implementations • 10 May 2021 • Jie Ran, Rui Lin, Hayden K. H. So, Graziano Chesi, Ngai Wong
Elasticities in depth, width, kernel size and resolution have been explored in compressing deep neural networks (DNNs).
1 code implementation • 8 May 2021 • Rui Lin, Jie Ran, Dongpeng Wang, King Hung Chiu, Ngai Wong
Recent results have revealed an interesting observation in a trained convolutional neural network (CNN), namely, the rank of a feature map channel matrix remains surprisingly constant despite the input images.
1 code implementation • 15 Feb 2021 • Chaofan Tao, Rui Lin, Quan Chen, Zhaoyang Zhang, Ping Luo, Ngai Wong
Prior arts often discretize the network weights by carefully tuning hyper-parameters of quantization (e. g. non-uniform stepsize and layer-wise bitwidths), which are complicated and sub-optimal because the full-precision and low-precision models have a large discrepancy.
1 code implementation • 27 Oct 2020 • Axel U. J. Lode, Rui Lin, Miriam Büttner, Luca Papariello, Camille Lévêque, R. Chitra, Marios C. Tsatsos, Dieter Jaksch, Paolo Moligni
The efficient extraction of observables from single-shot images is thus crucial.
Quantum Gases Quantum Physics
no code implementations • 28 Feb 2020 • Rui Lin, Ching-Yun Ko, Zhuolun He, Cong Chen, Yuan Cheng, Hao Yu, Graziano Chesi, Ngai Wong
The emerging edge computing has promoted immense interests in compacting a neural network without sacrificing much accuracy.
no code implementations • 1 Nov 2019 • Rui Lin, Paolo Molignini, Luca Papariello, Marios C. Tsatsos, Camille Lévêque, Storm E. Weiner, Elke Fasshauer, R. Chitra, Axel U. J. Lode
The MCTDH-X software is a set of programs and scripts to compute, analyze, and visualize solutions for the time-dependent and time-independent many-body Schr\"{o}dinger equation for indistinguishable quantum particles.
Quantum Gases
no code implementations • 17 May 2019 • Ching-Yun Ko, Rui Lin, Shu Li, Ngai Wong
Popular crowdsourcing techniques mostly focus on evaluating workers' labeling quality before adjusting their weights during label aggregation.