Experimentally detecting a quantum change point via Bayesian inference

Jan 23, 2018

Shang Yu, Chang-Jiang Huang, Jian-Shun Tang, Zhih-Ahn Jia, Yi-Tao Wang, Zhi-Jin Ke, Wei Liu, Xiao Liu, Zong-Quan Zhou, Ze-Di Cheng, Jin-Shi Xu, Yu-Chun Wu, Yuan-Yuan Zhao, Guo-Yong Xiang, Chuan-Feng Li, Guang-Can Guo, Gael Sentís, Ramon Muñoz-Tapia

Jan 23, 2018

Shang Yu, Chang-Jiang Huang, Jian-Shun Tang, Zhih-Ahn Jia, Yi-Tao Wang, Zhi-Jin Ke, Wei Liu, Xiao Liu, Zong-Quan Zhou, Ze-Di Cheng, Jin-Shi Xu, Yu-Chun Wu, Yuan-Yuan Zhao, Guo-Yong Xiang, Chuan-Feng Li, Guang-Can Guo, Gael Sentís, Ramon Muñoz-Tapia

* Phys. Rev. A 98, 040301 (2018)

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Descriptor Ensemble: An Unsupervised Approach to Descriptor Fusion in the Homography Space

Dec 13, 2014

Yuan-Ting Hu, Yen-Yu Lin, Hsin-Yi Chen, Kuang-Jui Hsu, Bing-Yu Chen

With the aim to improve the performance of feature matching, we present an unsupervised approach to fuse various local descriptors in the space of homographies. Inspired by the observation that the homographies of correct feature correspondences vary smoothly along the spatial domain, our approach stands on the unsupervised nature of feature matching, and can select a good descriptor for matching each feature point. Specifically, the homography space serves as the common domain, in which a correspondence obtained by any descriptor is considered as a point, for integrating various heterogeneous descriptors. Both geometric coherence and spatial continuity among correspondences are considered via computing their geodesic distances in the space. In this way, mutual verification across different descriptors is allowed, and correct correspondences will be highlighted with a high degree of consistency (i.e., short geodesic distances here). It follows that one-class SVM can be applied to identifying these correct correspondences, and boosts the performance of feature matching. The proposed approach is comprehensively compared with the state-of-the-art approaches, and evaluated on four benchmarks of image matching. The promising results manifest its effectiveness.
Dec 13, 2014

Yuan-Ting Hu, Yen-Yu Lin, Hsin-Yi Chen, Kuang-Jui Hsu, Bing-Yu Chen

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Dixit: Interactive Visual Storytelling via Term Manipulation

Mar 11, 2019

Chao-Chun Hsu, Yu-Hua Chen, Zi-Yuan Chen, Hsin-Yu Lin, Ting-Hao 'Kenneth' Huang, Lun-Wei Ku

Mar 11, 2019

Chao-Chun Hsu, Yu-Hua Chen, Zi-Yuan Chen, Hsin-Yu Lin, Ting-Hao 'Kenneth' Huang, Lun-Wei Ku

* WWW'19 Demo, demo video: https://www.youtube.com/watch?v=CUu1MOwnveI

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Variance-Based Risk Estimations in Markov Processes via Transformation with State Lumping

Jul 09, 2019

Shuai Ma, Jia Yuan Yu

Jul 09, 2019

Shuai Ma, Jia Yuan Yu

* 7 pages, 7 figures, SMC 2019 accepted. arXiv admin note: text overlap with arXiv:1907.04269

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* 23 pages, 5 figures

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Measuring Asymmetric Opinions on Online Social Interrelationship with Language and Network Features

Nov 15, 2016

Bo Wang, Yanshu Yu, Yuan Wang

Nov 15, 2016

Bo Wang, Yanshu Yu, Yuan Wang

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Adaptive and Optimal Online Linear Regression on L1-balls

Jan 23, 2012

Sébastien Gerchinovitz, Jia Yuan Yu

Jan 23, 2012

Sébastien Gerchinovitz, Jia Yuan Yu

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PointIT: A Fast Tracking Framework Based on 3D Instance Segmentation

Feb 18, 2019

Yuan Wang, Yang Yu, Ming Liu

Feb 18, 2019

Yuan Wang, Yang Yu, Ming Liu

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* 5 pages, VTC 2018

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Face Attention Network: An Effective Face Detector for the Occluded Faces

Nov 22, 2017

Jianfeng Wang, Ye Yuan, Gang Yu

Nov 22, 2017

Jianfeng Wang, Ye Yuan, Gang Yu

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We introduce the functional bandit problem, where the objective is to find an arm that optimises a known functional of the unknown arm-reward distributions. These problems arise in many settings such as maximum entropy methods in natural language processing, and risk-averse decision-making, but current best-arm identification techniques fail in these domains. We propose a new approach, that combines functional estimation and arm elimination, to tackle this problem. This method achieves provably efficient performance guarantees. In addition, we illustrate this method on a number of important functionals in risk management and information theory, and refine our generic theoretical results in those cases.

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A Scheme for Dynamic Risk-Sensitive Sequential Decision Making

Jul 09, 2019

Shuai Ma, Jia Yuan Yu, Ahmet Satir

We present a scheme for sequential decision making with a risk-sensitive objective and constraints in a dynamic environment. A neural network is trained as an approximator of the mapping from parameter space to space of risk and policy with risk-sensitive constraints. For a given risk-sensitive problem, in which the objective and constraints are, or can be estimated by, functions of the mean and variance of return, we generate a synthetic dataset as training data. Parameters defining a targeted process might be dynamic, i.e., they might vary over time, so we sample them within specified intervals to deal with these dynamics. We show that: i). Most risk measures can be estimated using return variance; ii). By virtue of the state-augmentation transformation, practical problems modeled by Markov decision processes with stochastic rewards can be solved in a risk-sensitive scenario; and iii). The proposed scheme is validated by a numerical experiment.
Jul 09, 2019

Shuai Ma, Jia Yuan Yu, Ahmet Satir

* 20 pages, 3 figures

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MSFD:Multi-Scale Receptive Field Face Detector

Mar 11, 2019

Qiushan Guo, Yuan Dong, Yu Guo, Hongliang Bai

Mar 11, 2019

Qiushan Guo, Yuan Dong, Yu Guo, Hongliang Bai

* Accepted by ICPR 2018

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Improving the Universality and Learnability of Neural Programmer-Interpreters with Combinator Abstraction

Feb 08, 2018

Da Xiao, Jo-Yu Liao, Xingyuan Yuan

Feb 08, 2018

Da Xiao, Jo-Yu Liao, Xingyuan Yuan

* Published as a conference paper at ICLR 2018

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* International Journal of Control (2016) 89(10): 1972-1984

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Pricing Vehicle Sharing with Proximity Information

Jan 25, 2016

Jakub Marecek, Robert Shorten, Jia Yuan Yu

Jan 25, 2016

Jakub Marecek, Robert Shorten, Jia Yuan Yu

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Two Phase $Q-$learning for Bidding-based Vehicle Sharing

Oct 20, 2015

Yinlam Chow, Jia Yuan Yu, Marco Pavone

Oct 20, 2015

Yinlam Chow, Jia Yuan Yu, Marco Pavone

* Submitted to AISTATS 2016

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Quantum Data Fitting Algorithm for Non-sparse Matrices

Jul 16, 2019

Guangxi Li, Youle Wang, Yu Luo, Yuan Feng

Jul 16, 2019

Guangxi Li, Youle Wang, Yu Luo, Yuan Feng

* 5 pages

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