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07/21/2023
Persistent Ballistic Entanglement Spreading with Optimal Control in Quantum Spin Chains
Entanglement propagation provides a key routine to understand quantum ma...
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03/29/2022
Circuit encapsulation for efficient quantum computing based on controlled many-body dynamics
Controlling the time evolution of interacting spin systems is an importa...
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09/14/2021
Embedding Node Structural Role Identity Using Stress Majorization
Nodes in networks may have one or more functions that determine their ro...
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06/03/2021
Preparation of Many-body Ground States by Time Evolution with Variational Microscopic Magnetic Fields and Incomplete Interactions
State preparation is of fundamental importance in quantum physics, which...
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11/03/2020
Embedding Node Structural Role Identity into Hyperbolic Space
Recently, there has been an interest in embedding networks in hyperbolic...
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04/03/2019
D^2-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios
Driving datasets accelerate the development of intelligent driving and r...
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02/21/2018
Discriminative Label Consistent Domain Adaptation
Domain adaptation (DA) is transfer learning which aims to learn an effec...
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01/17/2018
Brenier approach for optimal transportation between a quasi-discrete measure and a discrete measure
Correctly estimating the discrepancy between two data distributions has ...
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12/28/2017
Discriminative and Geometry Aware Unsupervised Domain Adaptation
Domain adaptation (DA) aims to generalize a learning model across traini...
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09/09/2017
Optimal Transport for Deep Joint Transfer Learning
Training a Deep Neural Network (DNN) from scratch requires a large amoun...
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06/02/2017