Chaosheng Dong 个人学术档案

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	总计	2019 年至今
引用	238	236
h 指数	8	8
i10 指数	7	7

100

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Michinari MommaPrincipal Applied Scientist at Amazon.com在 alum.rpi.edu 的电子邮件经过验证
Bo ZengUniversity of Pittsburgh在 pitt.edu 的电子邮件经过验证
Jia (Kevin) LiuAssociate Professor of Electrical and Computer Engineering, The Ohio State University在 ece.osu.edu 的电子邮件经过验证
Tianchen ZhouThe Ohio State University在 osu.edu 的电子邮件经过验证
Tong ZhaoSenior Staff Machine Learning Engineer, Uber在 uber.com 的电子邮件经过验证
Yiran ChenJohn Cocke Distinguished Professor of Electrical and Computer Engineering, Duke University在 duke.edu 的电子邮件经过验证
Shi YuBroadridge Financial Solutions, Vanguard Group, IBM, University of Chicago, K.U.Leuven在 uchicago.edu 的电子邮件经过验证
Debabrata MahapatraPhD candidate at National University of Singapore在 u.nus.edu 的电子邮件经过验证
Yijia WangUniversity of Pittsburgh在 pitt.edu 的电子邮件经过验证
Yetian ChenAmazon在 amazon.com 的电子邮件经过验证
Zhen ZuoAmazon在 amazon.com 的电子邮件经过验证
Wenbo WangSoftware Engineer, Google在 google.com 的电子邮件经过验证
Julian McAuleyProfessor, UC San Diego在 eng.ucsd.edu 的电子邮件经过验证
An YanUniversity of California San Diego在 ucsd.edu 的电子邮件经过验证
Fan YangSenior Applied Scientist, Amazon在 amazon.com 的电子邮件经过验证
Haoran WangColumbia University在 columbia.edu 的电子邮件经过验证
Xiaojie Jin, 靳潇杰Bytedance Research, USA在 bytedance.com 的电子邮件经过验证
Weihao GaoMoonshot AI在 illinois.edu 的电子邮件经过验证
Yang JianchaoBytedance Inc.在 ifp.illinois.edu 的电子邮件经过验证
Xiaobing LiuHead of the monetization engineering and Distinguished Scientist在 bytedance.com 的电子邮件经过验证

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Chaosheng Dong

Amazon

在 amazon.com 的电子邮件经过验证 - 首页

Optimization Machine Learning Information Retrieval


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Generalized inverse optimization through online learning C Dong, Y Chen, B Zeng NeurIPS, 2018	52	2018
A Multi-objective/Multi-task Learning Framework Induced by Pareto Stationarity M Momma, C Dong, J Liu ICML, 2022	37	2022
Personalized Complementary Product Recommendation A Yan, C Dong, Y Gao, J Fu, T Zhao, Y Sun, J Mcauley TheWebConf, 2022	26	2022
Learning Risk Preferences from Investment Portfolios Using Inverse Optimization S Yu, H Wang, C Dong Research in International Business and Finance, 2023	19*	2023
Expert learning through generalized inverse multiobjective optimization: Models, insights, and algorithms C Dong, B Zeng ICML, 2020	17	2020
Inferring parameters through inverse multiobjective optimization C Dong, B Zeng arXiv preprint arXiv:1808.00935, 2018	12	2018
Multi-Label Learning to Rank through Multi-Objective Optimization D Mahapatra, C Dong, Y Chen, D Meng, M Momma KDD, 2023	11	2023
Querywise fair learning to rank through multi-objective optimization D Mahapatra, C Dong, M Momma KDD, 2023	9	2023
Heterogeneous Graph Neural Networks with Neighbor-SIM Attention Mechanism for Substitute Product Recommendation L Zheng, Z Zuo, W Wang, C Dong, M Momma, Y Sun DLG-AAAI, 2021	8	2021
Learning Multiobjective Program Through Online Learning C Dong, Y Wang, B Zeng 15th International OPT Workshop on Optimization for Machine Learning, 2023	7*	2023
One Backward from Ten Forward, Subsampling for Large-Scale Deep Learning C Dong, X Jin, W Gao, Y Wang, H Zhang, X Wu, J Yang, X Liu DeMaL-WWW, 2021	7	2021
Wasserstein distributionally robust inverse multiobjective optimization C Dong, B Zeng AAAI, 2021	7	2021
Multi-task GNN for Substitute Identification T Jian, F Yang, Z Zuo, W Wang, M Momma, T Zhao, C Dong, Y Gao, ... Companion Proceedings of the Web Conference 2022, 2022	4	2022
Incentivized Bandit Learning with Self-Reinforcing User Preferences T Zhou, J Liu, C Dong, J Deng ICML, 2021	4	2021
Bandit learning to rank with position-based click models: Personalized and equal treatments T Zhou, J Liu, Y Jiao, C Dong, Y Chen, Y Gao, Y Sun arXiv preprint arXiv:2311.04528, 2023	3	2023
AdaSelection: Accelerating Deep Learning Training through Data Subsampling M Zhang, C Dong, J Fu, T Zhou, J Liang, J Liu, B Liu, M Momma, B Wang, ... 2024 SIGKDD Workshop on Resource-Efficient Learning for Knowledge Discovery, 2023	3	2023
Scalable and Effective Implicit Graph Neural Networks on Large Graphs J Liu, B Hooi, K Kawaguchi, Y Wang, C Dong, X Xiao ICLR, 2024	2	2024
Federated Multi-Objective Learning H Yang, Z Liu, J Liu, C Dong, M Momma NeurIPS, 2023	2	2023
G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer Y Zhuang, X Shen, Y Zhao, C Dong, M Wang, J Li, C Zhang CIKM, 2023	2	2023
Multi-Task Learning on Heterogeneous Graph Neural Network for Substitute Recommendation T Zhou, M Momma, C Dong, F Yang, C Guo, J Shang, J Liu MLG-KDD, 2023	2	2023

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