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2020 – today
- 2024
[c8]Kaiyan Zhao, Qiyu Wu, Xin-Qiang Cai, Yoshimasa Tsuruoka:
Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding. EACL (1) 2024: 976-991- [c7]Xingyu Song, Zhan Li, Shi Chen, Xin-Qiang Cai, Kazuyuki Demachi:
An Animation-Based Augmentation Approach for Action Recognition from Discontinuous Video. ECAI 2024: 113-120 - [i6]Yuting Tang, Xin-Qiang Cai, Yao-Xiang Ding, Qiyu Wu, Guoqing Liu, Masashi Sugiyama:
Reinforcement Learning from Bagged Reward: A Transformer-based Approach for Instance-Level Reward Redistribution. CoRR abs/2402.03771 (2024) - [i5]Xingyu Song, Zhan Li, Shi Chen, Xin-Qiang Cai, Kazuyuki Demachi:
An Animation-based Augmentation Approach for Action Recognition from Discontinuous Video. CoRR abs/2404.06741 (2024) - [i4]Soichiro Nishimori, Xin-Qiang Cai, Johannes Ackermann, Masashi Sugiyama:
Leveraging Domain-Unlabeled Data in Offline Reinforcement Learning across Two Domains. CoRR abs/2404.07465 (2024) - 2023
- [c6]Xin-Qiang Cai, Yao-Xiang Ding, Zi-Xuan Chen, Yuan Jiang, Masashi Sugiyama, Zhi-Hua Zhou:
Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning. ICLR 2023 - [c5]Xin-Qiang Cai, Pushi Zhang, Li Zhao, Jiang Bian, Masashi Sugiyama, Ashley Llorens:
Distributional Pareto-Optimal Multi-Objective Reinforcement Learning. NeurIPS 2023 - [c4]Xin-Qiang Cai, Yu-Jie Zhang, Chao-Kai Chiang, Masashi Sugiyama:
Imitation Learning from Vague Feedback. NeurIPS 2023 - [i3]Kaiyan Zhao, Qiyu Wu, Xin-Qiang Cai, Yoshimasa Tsuruoka:
Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding. CoRR abs/2309.08929 (2023) - 2022
- [c3]Zi-Xuan Chen, Xin-Qiang Cai, Yuan Jiang, Zhi-Hua Zhou:
Anomaly Guided Policy Learning from Imperfect Demonstrations. AAMAS 2022: 244-252 - 2021
- [c2]Xin-Qiang Cai, Yao-Xiang Ding, Yuan Jiang, Zhi-Hua Zhou:
Imitation Learning from Pixel-Level Demonstrations by HashReward. AAMAS 2021: 279-287 - [i2]Xin-Qiang Cai, Yao-Xiang Ding, Zi-Xuan Chen, Yuan Jiang, Masashi Sugiyama, Zhi-Hua Zhou:
Seeing Differently, Acting Similarly: Imitation Learning with Heterogeneous Observations. CoRR abs/2106.09256 (2021)
2010 – 2019
- 2019
- [c1]Xin-Qiang Cai, Peng Zhao, Kai-Ming Ting, Xin Mu, Yuan Jiang:
Nearest Neighbor Ensembles: An Effective Method for Difficult Problems in Streaming Classification with Emerging New Classes. ICDM 2019: 970-975 - [i1]Xin-Qiang Cai, Yao-Xiang Ding, Yuan Jiang, Zhi-Hua Zhou:
Expert-Level Atari Imitation Learning from Demonstrations Only. CoRR abs/1909.03773 (2019)
Coauthor Index
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