activity
20202023
most citedDissipation-engineered family of nearly dark states in many-body cavity-atom systems

37 citations · 108 across the 13 of their papers we have counts for

collaborators

13 papers

stat.ML2023

Cluster-based Method for Eavesdropping Identification and Localization in Optical Links

Haokun Song, Rui Lin, Andrea Sgambelluri +4

We propose a cluster-based method to detect and locate eavesdropping events in optical line systems characterized by small power losses. Our findings indicate that detecting such s…

cond-mat.supr-con2023★ 1 cited

Decoding the drive-bath interplay: A guideline to enhance superconductivity

Rui Lin, Aline Ramires, R. Chitra

Driven-dissipative physics lie at the core of quantum optics. However, the full interplay between a driven quantum many-body system and its environment remains relatively unexplore…

cs.CV2022★ 2 cited

Frequency Regularization for Improving Adversarial Robustness

Binxiao Huang, Chaofan Tao, Rui Lin +1

Deep neural networks are incredibly vulnerable to crafted, human-imperceptible adversarial perturbations. Although adversarial training (AT) has proven to be an effective defense a…

cs.LG2022★ 2 cited

PECAN: A Product-Quantized Content Addressable Memory Network

Jie Ran, Rui Lin, Jason Chun Lok Li +2

A novel deep neural network (DNN) architecture is proposed wherein the filtering and linear transform are realized solely with product quantization (PQ). This results in a natural…

cs.CV2022

Coarse to Fine: Image Restoration Boosted by Multi-Scale Low-Rank Tensor Completion

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. Howe…

cs.CV2022★ 5 cited

Deformable Butterfly: A Highly Structured and Sparse Linear Transform

Rui Lin, Jie Ran, King Hung Chiu +2

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 dimen…