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Yansong Gao

Yan-Song Gao

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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.

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2020 – today

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2024
[j3]
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Zhiwei Xiang, Zhenxing Gao, Yansong Gao, Yangyang Zhang, Runhao Zhang:
Real-time identification of precursors in commercial aviation using multiple-instance learning. Adv. Eng. Informatics 62: 102856 (2024)
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Shengfang Zhai, Huanran Chen, Yinpeng Dong, Jiajun Li, Qingni Shen, Yansong Gao, Hang Su, Yang Liu:
Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy. CoRR abs/2405.14800 (2024)
2023
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  - conf/icphys/GaoTCXZ23
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Yansong Gao, Jingzheng Tu, Cailian Chen, Qimin Xu, Shanying Zhu:
Orientation-based Feature Aggregation for Multi-Target Multi-Camera Tracking. ICPS 2023: 1-6
[i8]
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  - journals/corr/abs-2304-11446
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Yansong Gao, Zhihong Pan, Xin Zhou, Le Kang, Pratik Chaudhari:
Fast Diffusion Probabilistic Model Sampling through the lens of Backward Error Analysis. CoRR abs/2304.11446 (2023)
[i7]
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  - journals/corr/abs-2310-00542
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Hua Ma, Shang Wang, Yansong Gao:
Horizontal Class Backdoor to Deep Learning. CoRR abs/2310.00542 (2023)
2022
[j2]
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Xiaotie Deng, Yansong Gao, Jie Zhang:
Beyond the worst-case analysis of random priority: Smoothed and average-case approximation ratios in mechanism design. Inf. Comput. 285(Part): 104920 (2022)
[c5]
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Yansong Gao, Rahul Ramesh, Pratik Chaudhari:
Deep Reference Priors: What is the best way to pretrain a model? ICML 2022: 7036-7051
[i6]
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  - journals/corr/abs-2202-00187
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Yansong Gao, Rahul Ramesh, Pratik Chaudhari:
Deep Reference Priors: What is the best way to pretrain a model? CoRR abs/2202.00187 (2022)
[i5]
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  - journals/corr/abs-2204-07223
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Yansong Gao, Jie Zhang:
On Scheduling Mechanisms Beyond the Worst Case. CoRR abs/2204.07223 (2022)
2021
[j1]
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Yansong Gao, Pratik Chaudhari:
A free-energy principle for representation learning. Mach. Learn. Sci. Technol. 2(4): 45004 (2021)
[c4]
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Yansong Gao, Pratik Chaudhari:
An Information-Geometric Distance on the Space of Tasks. ICML 2021: 3553-3563
2020
[c3]
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Yansong Gao, Pratik Chaudhari:
A Free-Energy Principle for Representation Learning. ICML 2020: 3367-3376
[i4]
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  - journals/corr/abs-2002-12406
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Yansong Gao, Pratik Chaudhari:
A Free-Energy Principle for Representation Learning. CoRR abs/2002.12406 (2020)
[i3]
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  - journals/corr/abs-2011-00613
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Yansong Gao, Pratik Chaudhari:
An Information-Geometric Distance on the Space of Tasks. CoRR abs/2011.00613 (2020)

2010 – 2019

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2019
[c2]
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  - conf/ijcai/Gao019
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Yansong Gao, Jie Zhang:
Average-case Analysis of the Assignment Problem with Independent Preferences. IJCAI 2019: 287-293
[i2]
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  - journals/corr/abs-1906-00182
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Yansong Gao, Jie Zhang:
Average-case Analysis of the Assignment Problem with Independent Preferences. CoRR abs/1906.00182 (2019)
2017
[c1]
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Xiaotie Deng, Yansong Gao, Jie Zhang:
Smoothed and Average-Case Approximation Ratios of Mechanisms: Beyond the Worst-Case Analysis. MFCS 2017: 16:1-16:15
[i1]
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Xiaotie Deng, Yansong Gao, Jie Zhang:
Smoothed and Average-case Approximation Ratios of Mechanisms: Beyond the Worst-case Analysis. CoRR abs/1705.07200 (2017)

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