Chaosheng Dong
Chaosheng Dong
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Generalized inverse optimization through online learning
C Dong, Y Chen, B Zeng
NeurIPS, 2018
A Multi-objective/Multi-task Learning Framework Induced by Pareto Stationarity
M Momma, C Dong, J Liu
ICML, 2022
Personalized Complementary Product Recommendation
A Yan, C Dong, Y Gao, J Fu, T Zhao, Y Sun, J Mcauley
TheWebConf, 2022
Learning Risk Preferences from Investment Portfolios Using Inverse Optimization
S Yu, H Wang, C Dong
Research in International Business and Finance, 2023
Expert learning through generalized inverse multiobjective optimization: Models, insights, and algorithms
C Dong, B Zeng
ICML, 2020
Inferring parameters through inverse multiobjective optimization
C Dong, B Zeng
arXiv preprint arXiv:1808.00935, 2018
Multi-Label Learning to Rank through Multi-Objective Optimization
D Mahapatra, C Dong, Y Chen, D Meng, M Momma
KDD, 2023
Querywise fair learning to rank through multi-objective optimization
D Mahapatra, C Dong, M Momma
KDD, 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
Learning Multiobjective Program Through Online Learning
C Dong, Y Wang, B Zeng
15th International OPT Workshop on Optimization for Machine Learning, 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
Wasserstein distributionally robust inverse multiobjective optimization
C Dong, B Zeng
AAAI, 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
Incentivized Bandit Learning with Self-Reinforcing User Preferences
T Zhou, J Liu, C Dong, J Deng
ICML, 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
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
Federated Multi-Objective Learning
H Yang, Z Liu, J Liu, C Dong, M Momma
NeurIPS, 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
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
Multi-objective ranking with directions of preferences
M Momma, C Dong, Y Chen
SIGIR Workshop On eCommerce, 2022
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