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蔡 欣 强 |
Currently I am a second year Ph.D. student of Department of Complexity Science and Engineering in The University of Tokyo and a member of Sugiyama-Yokoya-Ishida Lab. Also, I am working as a research assistant on Beyond AI Institution.
I got my M.Sc. degree in Computer Science and Technology in June 2021 from Nanjing University as a member of LAMDA Group, supervised by professor Zhi-Hua Zhou and professor Yuan Jiang.
I got my B.Sc. degree in Aircraft Design and Engineering in June 2018 from Northwestern Polytechnical University. In the same year, I was admitted to study for a M.Sc degree in Nanjing University without entrance examination.
Kaiyan Zhao, Qiyu Wu, Xin-Qiang Cai, Yoshimasa Tsuruoka. Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embeddingki. In: Arxiv. [arxiv]
Xin-Qiang Cai, Yu-Jie_Zhang, Chao-Kai Chiang, Masashi Sugiyama. Imitation Learning from Vague Feedback. In: Proceedings of the Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS'23), New Orleans, US, Dec. 10-16, 2023. To Appear.
Xin-Qiang Cai, Pushi Zhang, Li Zhao, Jiang Bian, Masashi Sugiyama, Ashley Juan Llorens. Distributional Pareto-Optimal Multi-Objective Reinforcement Learning. In: Proceedings of the Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS'23), New Orleans, US, Dec. 10-16, 2023. To Appear.
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. In: Proceedings of the Eleventh International Conference on Learning Representations (ICLR'23) (spotlight), Kigali, Rwanda, May 1-5, 2023. [openreview] [paper] [bibtex]
Zi-Xuan Chen*, Xin-Qiang Cai*, Yuan Jiang, Zhi-Hua Zhou. Anomaly Guided Policy Learning from Imperfect Demonstrations. In: Proceedings of the 21th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'22) (oral), Auckland, New Zealand, May 9-13, 2022. Page: 244-252. [paper] [bibtex]
Xin-Qiang Cai, Yao-Xiang Ding, Yuan Jiang, Zhi-Hua Zhou. Imitation Learning from Pixel-Level Demonstrations by HashReward. In: Proceedings of the 20th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'21) (oral), online, May 3-7, 2021. Page: 279–287. [code] [paper] [bibtex]
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. In: Proceedings of the 19th IEEE International Conference on Data Mining (ICDM'19), Beijing, China, Nov. 8-11, 2019. Page: 970-975. [code] [paper] [bibtex]
Email:
cai@ms.k.u-tokyo.ac.jp, jkrsndivide@gmail.com