Chaosheng Dong

Preprints

• One Backward from Ten Forward, Subsampling for Large-Scale Deep Learning.
  Chaosheng Dong, Xiaojie Jin, Weihao Gao, Yijia Wang, Hongyi Zhang, Xiang Wu, Jianchao Yang, and Xiaobing Liu
  Short version has been accepted by the DeMaL Workshop at WWW 2021.
  

• Heterogeneous Graph Neural Networks with Neighbor-SIM Attention Mechanism for Substitute Product Recommendation.
  Liyuan Zheng, Zhen Zuo, Wenbo Wang, Chaosheng Dong, Michinari Momma, and Yi Sun
  Short version has been accepted by the Workshop on Deep Learning on Graphs: Methods and Applications at AAAI 2021.
  

• Inverse Multiobjective Optimization Through Online Learning
  Chaosheng Dong and Bo Zeng
  

• Learning Time Varying Risk Preferences from Investment Portfolios using Inverse Optimization with Applications on Mutual Funds.
  Yu Shi, Yuxin Chen, and Chaosheng Dong
  

• Inferring Parameters Through Inverse Multiobjective Optimization.
  Chaosheng Dong and Bo Zeng
  [bibtex]

Journal Papers

• Learning Risk Preferences from Investment Portfolios Using Inverse Optimization.
  Shi Yu, Haoran Wang, and Chaosheng Dong.
  Accepted at the special issue of AI and ML in Finance, Research in International Business and Finance.
  

• Inferring Parameters Through Inverse Multiobjective Optimization.
  Chaosheng Dong and Bo Zeng
  [bibtex]

Conference Papers

• Personalized Complementary Product Recommendation.
  An Yan, Chaosheng Dong, Yan Gao, Jinmiao Fu, Tong Zhao, Yi Sun, and Julian McAuley.
  Accepted at the Web Conference (WWW 2022).
  

• Bandit Learning with Joint Effect of Incentivized Sampling, Delayed Sampling Feedback, and Self-Reinforcing User Preferences.
  Tianchen Zhou, Jia Liu, Chaosheng Dong, and Yi Sun.
  Accepted at the International Conference on Learning Representations (ICLR 2022).
  

• Incentivized Bandit Learning with Self-Reinforcing User Preferences.
  Tianchen Zhou, Jia Liu, Chaosheng Dong, and Jingyuan Deng.
  Accepted at the International Conference on Machine Learning (ICML 2021).
  

• Wasserstein Distributionally Robust Inverse Multiobjective Optimization.
  Chaosheng Dong and Bo Zeng
  Preliminary version has been accepted by the OTML Workshop at NeurIPS 2019.
  Accepted at the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021).
  

• Expert Learning through Generalized Inverse Multiobjective Optimization: Models, Insights and Algorithms.
  Chaosheng Dong and Bo Zeng.
  Accepted at the International Conference on Machine Learning (ICML 2020).
  --Runner-up in the best theoretical paper competition in 15th INFORMS Workshop on Data Mining & Decision Analytics.

• Generalized Inverse Optimization through Online Learning.
  Chaosheng Dong, Yiran Chen, and Bo Zeng.
  Accepted at the Neural Information Processing Systems Conference (NeurIPS 2018).
  -- Finalist in the best theoretical paper competition in 14th INFORMS Workshop on Data Mining & Decision Analytics.
  [bibtex][poster] [code]