Chaosheng Dong

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 27

Top Topics

Multiobjective Optimization

Cooperative Coevolution

Image Thresholding

Top Venues

Publications

Chaosheng Dong, Yijia Wang
Towards Generalized Inverse Reinforcement Learning. CoRR (2024)
Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Yiwei Wang, Chaosheng Dong, Xiaokui Xiao
Scalable and Effective Implicit Graph Neural Networks on Large Graphs. ICLR (2024)
Yanhui Guo, Shaoyuan Xu, Jinmiao Fu, Jia Liu, Chaosheng Dong, Bryan Wang
Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning. CoRR (2024)
Yuchen Zhuang, Xin Shen, Yan Zhao, Chaosheng Dong, Ming Wang, Jin Li, Chao Zhang
G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer. CoRR (2023)
Minghe Zhang, Chaosheng Dong, Jinmiao Fu, Tianchen Zhou, Jia Liang, Jia Liu, Bo Liu, Michinari Momma, Bryan Wang, Yan Gao, Yi Sun
AdaSelection: Accelerating Deep Learning Training through Data Subsampling. CoRR (2023)
Debabrata Mahapatra, Chaosheng Dong, Yetian Chen, Michinari Momma
Multi-Label Learning to Rank through Multi-Objective Optimization. KDD (2023)
Haibo Yang, Zhuqing Liu, Jia Liu, Chaosheng Dong, Michinari Momma
Federated Multi-Objective Learning. CoRR (2023)
Yuchen Zhuang, Xin Shen, Yan Zhao, Chaosheng Dong, Ming Wang, Jin Li, Chao Zhang
G-STO: Sequential Main Shopping Intention Detection via Graph-Regularized Stochastic Transformer. CIKM (2023)
Debabrata Mahapatra, Chaosheng Dong, Michinari Momma
Querywise Fair Learning to Rank through Multi-Objective Optimization. KDD (2023)
Haibo Yang, Zhuqing Liu, Jia Liu, Chaosheng Dong, Michinari Momma
Federated Multi-Objective Learning. NeurIPS (2023)
Tianchen Zhou, Jia Liu, Yang Jiao, Chaosheng Dong, Yetian Chen, Yan Gao, Yi Sun
Bandit Learning to Rank with Position-Based Click Models: Personalized and Equal Treatments. CoRR (2023)
Michinari Momma, Chaosheng Dong, Jia Liu
A Multi-objective / Multi-task Learning Framework Induced by Pareto Stationarity. ICML (2022)
Debabrata Mahapatra, Chaosheng Dong, Yetian Chen, Deqiang Meng, Michinari Momma
Multi-Label Learning to Rank through Multi-Objective Optimization. CoRR (2022)
An Yan, Chaosheng Dong, Yan Gao, Jinmiao Fu, Tong Zhao, Yi Sun, Julian J. McAuley
Personalized Complementary Product Recommendation. WWW (Companion Volume) (2022)
Tianchen Zhou, Jia Liu, Chaosheng Dong, Yi Sun
Bandit Learning with Joint Effect of Incentivized Sampling, Delayed Sampling Feedback, and Self-Reinforcing User Preferences. ICLR (2022)
Tong Jian, Fan Yang, Zhen Zuo, Wenbo Wang, Michinari Momma, Tong Zhao, Chaosheng Dong, Yan Gao, Yi Sun
Multi-task GNN for Substitute Identification. WWW (Companion Volume) (2022)
Chaosheng Dong, Xiaojie Jin, Weihao Gao, Yijia Wang, Hongyi Zhang, Xiang Wu, Jianchao Yang, Xiaobing Liu
One Backward from Ten Forward, Subsampling for Large-Scale Deep Learning. CoRR (2021)
Tianchen Zhou, Jia Liu, Chaosheng Dong, Jingyuan Deng
Incentivized Bandit Learning with Self-Reinforcing User Preferences. CoRR (2021)
Tianchen Zhou, Jia Liu, Chaosheng Dong, Jingyuan Deng
Incentivized Bandit Learning with Self-Reinforcing User Preferences. ICML (2021)
Chaosheng Dong, Bo Zeng
Wasserstein Distributionally Robust Inverse Multiobjective Optimization. AAAI (2021)
Chaosheng Dong, Bo Zeng
Inverse Multiobjective Optimization Through Online Learning. CoRR (2020)
Shi Yu, Yuxin Chen, Chaosheng Dong
Learning Time Varying Risk Preferences from Investment Portfolios using Inverse Optimization with Applications on Mutual Funds. CoRR (2020)
Chaosheng Dong, Bo Zeng
Expert Learning through Generalized Inverse Multiobjective Optimization: Models, Insights, and Algorithms. ICML (2020)
Chaosheng Dong, Bo Zeng
Wasserstein Distributionally Robust Inverse Multiobjective Optimization. CoRR (2020)
Chaosheng Dong, Bo Zeng
Inferring Parameters Through Inverse Multiobjective Optimization. CoRR (2018)
Chaosheng Dong, Yiran Chen, Bo Zeng
Generalized Inverse Optimization through Online Learning. CoRR (2018)
Chaosheng Dong, Yiran Chen, Bo Zeng
Generalized Inverse Optimization through Online Learning. NeurIPS (2018)