no code implementations • 18 Oct 2023 • Ya-Dong Wu, Yan Zhu, Yuexuan Wang, Giulio Chiribella
Through numerical experiments, we show that multi-task learning can be applied to sufficiently regular states to predict global properties, like string order parameters, from the observation of short-range correlations, and to distinguish between quantum phases that cannot be distinguished by single-task networks.
no code implementations • CVPR 2023 • Xiaotian Yu, Yang Jiang, Tianqi Shi, Zunlei Feng, Yuexuan Wang, Mingli Song, Li Sun
To address this problem, the proposed GSS alleviates the damage by switching the current gradient direction of each sample to a new direction selected from a gradient direction pool, which contains all-class gradient directions with different probabilities.
no code implementations • 3 Nov 2022 • Ya-Dong Wu, Yan Zhu, Ge Bai, Yuexuan Wang, Giulio Chiribella
The task of testing whether two uncharacterized quantum devices behave in the same way is crucial for benchmarking near-term quantum computers and quantum simulators, but has so far remained open for continuous-variable quantum systems.
no code implementations • 8 Mar 2022 • Lianlian Jiang, Yuexuan Wang, Wenyi Zheng, Chao Jin, Zengxiang Li, Sin G. Teo
In this work, we propose a new approach, LSTMSPLIT, that uses SL architecture with an LSTM network to classify time-series data with multiple clients.
no code implementations • 14 Feb 2022 • Yan Zhu, Ya-Dong Wu, Ge Bai, Dong-Sheng Wang, Yuexuan Wang, Giulio Chiribella
Existing networks are typically trained with experimental data gathered from the specific quantum state that needs to be characterized.
1 code implementation • 12 Nov 2021 • Dongda Li, Zhaoquan Gu, Yuexuan Wang, Changwei Ren, Francis C. M. Lau
In this paper, we propose a Recurrent Conditional Query Learning (RCQL) method to solve both 2D and 3D packing problems.
1 code implementation • 1 Aug 2021 • Zunlei Feng, Zhonghua Wang, Xinchao Wang, Xiuming Zhang, Lechao Cheng, Jie Lei, Yuexuan Wang, Mingli Song
The diagnosis of MVI needs discovering the vessels that contain hepatocellular carcinoma cells and counting their number in each vessel, which depends heavily on experiences of the doctor, is largely subjective and time-consuming.
no code implementations • ICCV 2021 • Zunlei Feng, Zhonghua Wang, Xinchao Wang, Yining Mao, Thomas Li, Jie Lei, Yuexuan Wang, Mingli Song
The existing two unsupervised methods are prone to failure on degenerated samples.
no code implementations • 25 Sep 2019 • Dongda Li, Changwei Ren, Zhaoquan Gu, Yuexuan Wang, Francis Lau
Previous studies have shown that NCO outperforms heuristic algorithms in many combinatorial optimization problems such as the routing problems.