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Daohong Jian

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2020 – today

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2023
[c5]
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  dblp key:
  - conf/kdd/00110JW23
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  - https://dblp.org/rec/conf/kdd/00110JW23
Jun Zhou, Yang Bao, Daohong Jian, Hua Wu:
PDAS: A Practical Distributed ADMM System for Large-Scale Linear Programming Problems at Alipay. KDD 2023: 5717-5727
[c4]
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  - conf/sigir/Jian00W23
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Daohong Jian, Yang Bao, Jun Zhou, Hua Wu:
A Practical Online Allocation Framework at Industry-scale in Constrained Recommendation. SIGIR 2023: 3270-3274
2022
[c3]
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  - conf/cikm/Zhou0HJLW22
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Jun Zhou, Feng Qi, Zhigang Hua, Daohong Jian, Ziqi Liu, Hua Wu:
A Practical Distributed ADMM Solver for Billion-Scale Generalized Assignment Problems. CIKM 2022: 3715-3724
[c2]
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  - conf/compsac/GuNDGJXWZ22
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Yongfeng Gu, Yue Ning, Hao Ding, Kecai Gu, Daohong Jian, Zhou Xu, Hua Wu, Jun Zhou:
A Self-adaptive Indicator Selection Approach for Solving Credit Risk Assessment. COMPSAC 2022: 1567-1572
[c1]
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  - conf/gecco/NingJWZ22
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Yue Ning, Daohong Jian, Hua Wu, Jun Zhou:
Zeroth-order covariance matrix adaptation evolution strategy for single objective bound constrained numerical optimization competition. GECCO Companion 2022: 9-10
[i1]
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  - journals/corr/abs-2210-16986
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Jun Zhou, Feng Qi, Zhigang Hua, Daohong Jian, Ziqi Liu, Hua Wu, Xingwen Zhang, Shuang Yang:
A Practical Distributed ADMM Solver for Billion-Scale Generalized Assignment Problems. CoRR abs/2210.16986 (2022)

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