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Conference and Workshop Papers
- 2024
[c14]Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Yiwei Wang, Chaosheng Dong, Xiaokui Xiao:
Scalable and Effective Implicit Graph Neural Networks on Large Graphs. ICLR 2024- [c13]Yanhui Guo, Shaoyuan Xu, Jinmiao Fu, Jia Liu, Chaosheng Dong, Bryan Wang:
Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning. NAACL-HLT (Findings) 2024: 2595-2622 - 2023
- [c12]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: 3677-3687 - [c11]Debabrata Mahapatra, Chaosheng Dong, Michinari Momma:
Querywise Fair Learning to Rank through Multi-Objective Optimization. KDD 2023: 1653-1664 - [c10]Debabrata Mahapatra, Chaosheng Dong, Yetian Chen, Michinari Momma:
Multi-Label Learning to Rank through Multi-Objective Optimization. KDD 2023: 4605-4616 - [c9]Haibo Yang, Zhuqing Liu, Jia Liu, Chaosheng Dong, Michinari Momma:
Federated Multi-Objective Learning. NeurIPS 2023 - 2022
- [c8]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 - [c7]Michinari Momma, Chaosheng Dong, Jia Liu:
A Multi-objective / Multi-task Learning Framework Induced by Pareto Stationarity. ICML 2022: 15895-15907 - [c6]An Yan, Chaosheng Dong, Yan Gao, Jinmiao Fu, Tong Zhao, Yi Sun, Julian J. McAuley:
Personalized Complementary Product Recommendation. WWW (Companion Volume) 2022: 146-151 - [c5]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: 228-231 - 2021
- [c4]Chaosheng Dong, Bo Zeng:
Wasserstein Distributionally Robust Inverse Multiobjective Optimization. AAAI 2021: 5914-5921 - [c3]Tianchen Zhou, Jia Liu, Chaosheng Dong, Jingyuan Deng:
Incentivized Bandit Learning with Self-Reinforcing User Preferences. ICML 2021: 12824-12834 - 2020
- [c2]Chaosheng Dong, Bo Zeng:
Expert Learning through Generalized Inverse Multiobjective Optimization: Models, Insights, and Algorithms. ICML 2020: 2648-2657 - 2018
- [c1]Chaosheng Dong, Yiran Chen, Bo Zeng:
Generalized Inverse Optimization through Online Learning. NeurIPS 2018: 86-95
Informal and Other Publications
- 2024
- [i14]Chaosheng Dong, Yijia Wang:
Towards Generalized Inverse Reinforcement Learning. CoRR abs/2402.07246 (2024) - [i13]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 abs/2404.14607 (2024) - 2023
- [i12]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 abs/2306.10728 (2023) - [i11]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 abs/2306.14314 (2023) - [i10]Haibo Yang, Zhuqing Liu, Jia Liu, Chaosheng Dong, Michinari Momma:
Federated Multi-Objective Learning. CoRR abs/2310.09866 (2023) - [i9]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 abs/2311.04528 (2023) - 2022
- [i8]Debabrata Mahapatra, Chaosheng Dong, Yetian Chen, Deqiang Meng, Michinari Momma:
Multi-Label Learning to Rank through Multi-Objective Optimization. CoRR abs/2207.03060 (2022) - 2021
- [i7]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 abs/2104.13114 (2021) - [i6]Tianchen Zhou, Jia Liu, Chaosheng Dong, Jingyuan Deng:
Incentivized Bandit Learning with Self-Reinforcing User Preferences. CoRR abs/2105.08869 (2021) - 2020
- [i5]Chaosheng Dong, Bo Zeng:
Wasserstein Distributionally Robust Inverse Multiobjective Optimization. CoRR abs/2009.14552 (2020) - [i4]Shi Yu, Yuxin Chen, Chaosheng Dong:
Learning Time Varying Risk Preferences from Investment Portfolios using Inverse Optimization with Applications on Mutual Funds. CoRR abs/2010.01687 (2020) - [i3]Chaosheng Dong, Bo Zeng:
Inverse Multiobjective Optimization Through Online Learning. CoRR abs/2010.06140 (2020) - 2018
- [i2]Chaosheng Dong, Bo Zeng:
Inferring Parameters Through Inverse Multiobjective Optimization. CoRR abs/1808.00935 (2018) - [i1]Chaosheng Dong, Yiran Chen, Bo Zeng:
Generalized Inverse Optimization through Online Learning. CoRR abs/1810.01920 (2018)
Coauthor Index
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