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論文表記の著者名

Yidong Wang

東京科学大学Machine Learning2021–2025 確定版

対象論文 10 本

著者名は論文に記載された表記をそのまま使用しており、同一人物の名寄せは行っていません。

印刷日: 全論文

出典:https://topcsuniv.org/japan/machine-learning/2021-2025/universities/institute-of-science-tokyo/authors/edbd0bb4414df2788414/

論文上の著者表記・公開時所属による集計です。人物の名寄せ・現在所属・全業績を表すものではありません。

対象論文

論文一覧

  1. 2025
    ICML
    会議の論文一覧
    Masked Autoencoders Are Effective Tokenizers for Diffusion Models共著者: Hao Chen, Yujin Han, Fangyi Chen, Xiang Li, Jindong Wang, Ze Wang, Zicheng Liu, Difan Zou, Bhiksha Raj
  2. 2025
    ICML
    会議の論文一覧
    Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation共著者: Zhuohao Yu, Weizheng Gu, Xingru Jiang, Zhengran Zeng, Jindong Wang, Wei Ye, Shikun Zhang
  3. 2025
    NeurIPS
    会議の論文一覧
    SAEMark: Steering Personalized Multilingual LLM Watermarks with Sparse Autoencoders共著者: Zhuohao Yu, Xingru Jiang, Weizheng Gu, Qingsong Wen, Shikun Zhang, Wei Ye
  4. 2025
    NeurIPS
    会議の論文一覧
    Visual Thoughts: A Unified Perspective of Understanding Multimodal Chain-of-Thought共著者: ZIhui Cheng, Qiguang Chen, Xiao Xu, Jiaqi Wang, Weiyun Wang, Hao Fei, Alex Jinpeng Wang, Zhi Chen, Wanxiang Che, Libo Qin
  5. 2024
    ICML
    会議の論文一覧
    A General Framework for Learning from Weak Supervision共著者: Hao Chen, Jindong Wang, Lei Feng, Xiang Li, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj
  6. 2024
    NeurIPS
    会議の論文一覧
    AutoSurvey: Large Language Models Can Automatically Write Surveys共著者: Qi Guo, Wenjin Yao, Hongbo Zhang, Xin Zhang, Zhen Wu, Meishan Zhang, Xinyu Dai, Min Zhang, Qingsong Wen, Wei Ye, Shikun Zhang, Yue Zhang
  7. 2024
    NeurIPS
    会議の論文一覧
    Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations共著者: Hao Chen, Ankit Shah, Jindong Wang, Ran Tao, Xiang Li, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj
  8. 2023
    ICLR
    会議の論文一覧
    FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning共著者: Hao Chen, Qiang Heng, Wenxin Hou, Yue Fan, Zhen Wu, Jindong Wang, Marios Savvides, Takahiro Shinozaki, Bhiksha Raj, Bernt Schiele, Xing Xie
  9. 2023
    ICLR
    会議の論文一覧
    SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning共著者: Hao Chen, Ran Tao, Yue Fan, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, Marios Savvides
  10. 2021
    NeurIPS
    会議の論文一覧
    FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling共著者: Bowen Zhang, Wenxin Hou, HAO WU, Jindong Wang, Manabu Okumura, Takahiro Shinozaki