publication.js

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    "title": "SmartCLIP: Modular Vision-language Alignment with Identification Guarantees",
    "authors": "Shaoan Xie, Lingjing Kong, Yujia Zheng, Yu Yao, Zeyu Tang, Eric P. Xing, Guangyi Chen, Kun Zhang",
    "publisher": "CVPR",
    "year": "2025",
    "bib": `@inproceedings{xie2025smartclip, \
      title={SmartCLIP: Modular Vision-language Alignment with Identification Guarantees},\
      author={Xie, Shaoan and Kong, Lingjing and Zheng, Yujia and Yao, Yu and Tang, Zeyu and Xing, Eric P. and Chen, Guangyi and Zhang, Kun}, \
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    "title": "Chain-of-Focus Prompting: Leveraging Sequential Visual Cues to Prompt Large Autoregressive Vision Models",
    "authors": "J Zheng, J Shen, Y Yao, M Wang, Y Yang, D Wang, T Liu",
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    "year": "2025",
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      title={Chain-of-Focus Prompting: Leveraging Sequential Visual Cues to Prompt Large Autoregressive Vision Models},\
      author={Zheng, Jiyang and Shen, Jialiang and Yao, Yu and Wang, Min and Yang, Yang and Wang, Dadong and Liu, Tongliang},\
      booktitle={The Thirteenth International Conference on Learning Representations},\
      year={2025}\
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    "title": "A Robust Method to Discover Causal or Anticausal Relation by Noise Injection",
    "authors": "Y Yao, Y Zhou, M Gong, K Zhang, T Liu",
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    "year": "2025",
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      title={A Robust Method to Discover Causal or Anticausal Relation by Noise Injection},\
      author={Yao, Yu and Zhou, Yang and Gong, Mingming and Zhang, Kun and Liu, Tongliang},\
      booktitle={The Thirteenth International Conference on Learning Representations},\
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    "title": "Flow: A Modular Approach to Automated Agentic Workflow Generation",
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    "publisher": "ICLR",
    "year": "2025",
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      title={Flow: A Modular Approach to Automated Agentic Workflow Generation},\
      author={Niu, Boye and Song, Yiliao and Lian, Kai and Shen, Yifan and Yao, Yu and Zhang, Kun and Liu, Tongliang},\
      booktitle={The Thirteenth International Conference on Learning Representations},\
      year={2025}\
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    "title": "A Conditional Independence Test in the Presence of Discretization",
    "authors": "B Sun, Y Yao, H Hao, Y Qiu, K Zhang",
    "publisher": "ICLR",
    "year": "2025",
    "bib": `@inproceedings{sun2024conditional,\
      title={A Conditional Independence Test in the Presence of Discretization},\
      author={Sun, Boyang and Yao, Yu and Hao, Huangyuan and Qiu, Yumou and Zhang, Kun},\
      booktitle={The Thirteenth International Conference on Learning Representations},\
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    title: "Identifying Latent State-Transition Processes for Individualized Reinforcement Learning",
    authors: "Y Sun, B Huang, Y Yao, D Zeng, X Dong, S Jin, B Sun, R Legaspi, K Ikeda, P Spirtes, K Zhang",
    publisher: "NeurIPS",
    year: "2024",
    bib: `@inproceedings{sunidentifying, \
      title={Identifying Latent State Transition Processes for Individualized Reinforcement Learning},\
      author={Sun, Yuewen and Huang, Biwei and Yao, Yu and Zeng, Donghuo and Dong, Xinshuai and Legaspi, Roberto and Ikeda, Kazushi and Spirtes, Peter and Zhang, Kun}\
      booktitle={The Thirty-eighth Annual Conference on Neural Information Processing Systems},\
      year={2024}\
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    link: "https://openreview.net/forum?id=nJKfNiEBvq&referrer=%5Bthe%20profile%20of%20",
    title: "Learning the Latent Causal Structure for Modeling Label Noise",
    authors: "Y Lin, Y Yao, T Liu",
    publisher: "NeurIPS",
    year: "2024",
    bib: `@inproceedings{linlearning,\
      title={Learning the Latent Causal Structure for Modeling Label Noise},\
      author={Lin, Yexiong and Yao, Yu and Liu, Tongliang},\
      booktitle={The Thirty-eighth Annual Conference on Neural Information Processing Systems},\
      year={2024}\
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    title: "Enhancing contrastive learning for ordinal regression via ordinal content preserved data augmentation",
    authors: "J Zheng, Y Yao, B Han, D Wang, T Liu",
    publisher: "ICLR",
    year: "2024",
    bib: `@inproceedings{zheng2024enhancing,\
      title={Enhancing contrastive learning for ordinal regression via ordinal content preserved data augmentation},\
      author={Zheng, Jiyang and Yao, Yu and Han, Bo and Wang, Dadong and Liu, Tongliang},\
      booktitle={The Twelfth International Conference on Learning Representations},\
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    title: "Improving Non-Transferable Representation Learning by Harnessing Content and Style",
    authors: "Z Hong, Z Wang, L Shen, Y Yao, Z Huang, S Chen, C Yang, M Gong, T Liu",
    publisher: "ICLR",
    year: "2024",
    bib: `@inproceedings{hong2024improving,\
      title={Improving non-transferable representation learning by harnessing content and style},\
      author={Hong, Ziming and Wang, Zhenyi and Shen, Li and Yao, Yu and Huang, Zhuo and Chen, Shiming and Yang, Chuanwu and Gong, Mingming and Liu, Tongliang},\
      booktitle={The Twelfth International Conference on Learning Representations},\
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    link: "https://scholar.google.com/citations?view_op=view_citation&hl=en&user=OkcaMKAAAAAJ&sortby=pubdate&citation_for_view=OkcaMKAAAAAJ:4DMP91E08xMC",
    title: "CS-Isolate: Extracting Hard Confident Examples by Content and Style Isolation",
    authors: "Y Lin, Y Yao, X Shi, M Gong, X Shen, D Xu, T Liu",
    publisher: "NeurIPS",
    year: "2023",
    bib: `@inproceedings{lin2023cs,\
      title={CS-Isolate: Extracting Hard Confident Examples by Content and Style Isolation},\
      author={Lin, Yexiong and Yao, Yu and Shi, Xiaolong and Gong, Mingming and Shen, Xu and Xu, Dong and Liu, Tongliang},\
      booktitle={Thirty-seventh Conference on Neural Information Processing Systems},\
      year={2023}\
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    link: "https://scholar.google.com/citations?view_op=view_citation&hl=en&user=OkcaMKAAAAAJ&sortby=pubdate&citation_for_view=OkcaMKAAAAAJ:4DMP91E08xMC",
    title: "PNT-Edge: Towards Robust Edge Detection with Noisy Labels by Learning Pixel-level Noise Transitions",
    authors: "W Xuan, S Zhao, Y Yao, J Liu, T Liu, Y Chen, B Du, D Tao",
    publisher: "ACMMM",
    year: "2023",
    bib: `@inproceedings{xuan2023pnt,\
      title={PNT-Edge: Towards robust edge detection with noisy labels by learning pixel-level noise transitions},\
      author={Xuan, Wenjie and Zhao, Shanshan and Yao, Yu and Liu, Juhua and Liu, Tongliang and Chen, Yixin and Du, Bo and Tao, Dacheng},\
      booktitle={Proceedings of the 31st ACM International Conference on Multimedia},\
      pages={1924--1932},\
      year={2023}\
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    link: "https://scholar.google.com/citations?view_op=view_citation&hl=en&user=OkcaMKAAAAAJ&citation_for_view=OkcaMKAAAAAJ:Wp0gIr-vW9MC",
    title: "Which is Better for Learning with Noisy Labels: The Semi-supervised Method or Modeling Label Noise?",
    authors: "Y Yao, M Gong, Y Du, J Yu, B Han, K Zhang, T Liu",
    publisher: "ICML",
    year: "2023",
    bib: `@inproceedings{yao2023better,\
      title={Which is better for learning with noisy labels: the semi-supervised method or modeling label noise?},\
      author={Yao, Yu and Gong, Mingming and Du, Yuxuan and Yu, Jun and Han, Bo and Zhang, Kun and Liu, Tongliang},\
      booktitle={International Conference on Machine Learning},\
      pages={39660--39673},\
      year={2023},\
      organization={PMLR}\
    }`,
    code: "https://github.com/tmllab/2023_ICML_Which-is-Better-for-Learning-with-Noisy-Labels",
    project: null
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    link: "https://scholar.google.com/citations?view_op=view_citation&hl=en&user=OkcaMKAAAAAJ&citation_for_view=OkcaMKAAAAAJ:KlAtU1dfN6UC",
    title: "StarmapVis: An Interactive and Narrative Visualisation Tool for Single-Cell and Spatial Data",
    authors: "S Ma, X Fang, Y Yao, J Li, DC Morgan, Y Xia, CSM Kwok, MCK Lo, DMD Siu, KK Tsia, A Yang, JWK Ho",
    publisher: "Computational and Structural Biotechnology Journal",
    year: "2023",
    bib: `@article{ma2023starmapvis,\
      title={StarmapVis: An interactive and narrative visualisation tool for single-cell and spatial data},\
      author={Ma, Shichao and Fang, Xiunan and Yao, Yu and Li, Jianfu and Morgan, Daniel C and Xia, Yongyan and Kwok, Crystal SM and Lo, Michelle CK and Siu, Dickson MD and Tsia, Kevin K and others},\
      journal={Computational and Structural Biotechnology Journal},\
      volume={21},\
      pages={1598--1605},\
      year={2023},\
      publisher={Elsevier}\
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    link: "https://scholar.google.com/citations?view_op=view_citation&hl=en&user=OkcaMKAAAAAJ&citation_for_view=OkcaMKAAAAAJ:YOwf2qJgpHMC",
    title: "ProtoSimi: Label Correction for Fine-Grained Visual Categorization",
    authors: "J Shen, Y Yao, S Huang, Z Wang, R Wang, J Yu, T Liu",
    publisher: "Machine Learning",
    year: "2023",
    bib: `@article{shen2023protosimi,\
      title={ProtoSimi: label correction for fine-grained visual categorization},\
      author={Shen, Jialiang and Yao, Yu and Huang, Shaoli and Wang, Zhiyong and Zhang, Jing and Wang, Ruxing and Yu, Jun and Liu, Tongliang},\
      journal={Machine Learning},\
      pages={1--18},\
      year={2023},\
      publisher={Springer}\
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    link: "https://scholar.google.com/citations?view_op=view_citation&hl=en&user=OkcaMKAAAAAJ&sortby=pubdate&citation_for_view=OkcaMKAAAAAJ:roLk4NBRz8UC",
    title: "Rethinking Class-Prior Estimation for Positive-Unlabeled Learning",
    authors: "Y Yao, T Liu, B Han, M Gong, G Niu, M Sugiyama, D Tao",
    publisher: "ICLR",
    year: "2022",
    bib: `@article{yao2020rethinking,\
      title={Rethinking class-prior estimation for positive-unlabeled learning},\
      author={Yao, Yu and Liu, Tongliang and Han, Bo and Gong, Mingming and Niu, Gang and Sugiyama, Masashi and Tao, Dacheng},\
      journal={arXiv preprint arXiv:2002.03673},\
      year={2020}\
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    title: "Understanding How Pretraining Regularizes Deep Learning Algorithms",
    authors: "Y Yao, B Yu, C Gong, T Liu",
    publisher: "TNNLS",
    year: "2021",
    bib: `@article{yao2021understanding,\
      title={Understanding how pretraining regularizes deep learning algorithms},\
      author={Yao, Yu and Yu, Baosheng and Gong, Chen and Liu, Tongliang},\
      journal={IEEE Transactions on Neural Networks and Learning Systems},\
      year={2021},\
      publisher={IEEE}\
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    link: "https://scholar.google.com/citations?view_op=view_citation&hl=en&user=OkcaMKAAAAAJ&sortby=pubdate&citation_for_view=OkcaMKAAAAAJ:hqOjcs7Dif8C",
    title: "Instance-Dependent Label-Noise Learning under a Structural Causal Model",
    authors: "Y Yao, T Liu, M Gong, B Han, G Niu, K Zhang",
    publisher: "NeurIPS",
    year: "2021",
    bib: `@article{yao2021instance,\
      title={Instance-dependent label-noise learning under a structural causal model},\
      author={Yao, Yu and Liu, Tongliang and Gong, Mingming and Han, Bo and Niu, Gang and Zhang, Kun},\
      journal={Advances in Neural Information Processing Systems},\
      volume={34},\
      pages={4409--4420},\
      year={2021}\
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    title: "Dual T: Reducing Estimation Error for Transition Matrix in Label-Noise Learning",
    authors: "Y Yao, T Liu, B Han, M Gong, J Deng, G Niu, M Sugiyama",
    publisher: "NeurIPS",
    year: "2020",
    bib: `@article{yao2020dual,\
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      author={Yao, Yu and Liu, Tongliang and Han, Bo and Gong, Mingming and Deng, Jiankang and Niu, Gang and Sugiyama, Masashi},\
      journal={Advances in neural information processing systems},\
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