Publications & Preprints

@inproceedings{kong2025LH,
  title={LH-Mix: Local Hierarchy Correlation Guided Mixup over Hierarchical Prompt Tuning},
  author={Kong, Fanshuang and Zhang, Richong and Wang, Ziqiao},
  booktitle={Proceedings of the 31th ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
  year={2025}
}

@inproceedings{
wang2024generalization,
title={Generalization Bounds via Conditional \$f\$-Information},
author={Ziqiao Wang and Yongyi Mao},
booktitle={The Thirty-eighth Annual Conference on Neural Information Processing Systems},
year={2024},
url={https://openreview.net/forum?id=ocxVXe5XN1}
}

@inproceedings{
wang2024on,
title={On \$f\$-Divergence Principled Domain Adaptation: An Improved Framework},
author={Ziqiao Wang and Yongyi Mao},
booktitle={The Thirty-eighth Annual Conference on Neural Information Processing Systems},
year={2024},
url={https://openreview.net/forum?id=xSU27DgWEr}
}

@inproceedings{kong2024unsupervised,
  title={On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning},
  author={Kong, Fanshuang and Zhang, Richong and Wang, Ziqiao and Mao, Yongyi},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={38},
  number={16},
  pages={18399--18407},
  year={2024}
}

@inproceedings{huang2024cross,
  title={Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text Retrieval},
  author={Huang, Hailang and Nie, Zhijie and Wang, Ziqiao and Shang, Ziyu},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={38},
  number={16},
  pages={18298--18306},
  year={2024}
}

@inproceedings{
Wang2023sampleconditioned,
title={Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds},
author={Ziqiao Wang and Yongyi Mao},
booktitle={Thirty-seventh Conference on Neural Information Processing Systems},
year={2023},
url={https://openreview.net/forum?id=oqDSDKLd3S}
}

@inproceedings{
    wang2022on,
    title={On the Generalization of Models Trained with {SGD}: Information-Theoretic Bounds and Implications},
    author={Ziqiao Wang and Yongyi Mao},
    booktitle={International Conference on Learning Representations},
    year={2022},
    url={https://openreview.net/forum?id=oWZsQ8o5EA}
}

@inproceedings{Wang2022a,
  author = {Ziqiao Wang and Yongyi Mao},
  title = {Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States},
  booktitle = {Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence},
  year = {2024},
  url={https://openreview.net/pdf?id=ZhMkLTWRyh}
}

@inproceedings{
	wang2023two,
	title={Two Facets of {SDE} Under an Information-Theoretic Lens: Generalization of {SGD} via Training Trajectories and via Terminal States},
	author={Ziqiao Wang and Yongyi Mao},
	booktitle={NeurIPS 2023 Workshop on Mathematics of Modern Machine Learning},
	year={2023},
	url={https://openreview.net/forum?id=hWDqKtIwSo}
}

@inproceedings{
    liu2023overtraining,
    title={Over-Training with Mixup May Hurt Generalization},
    author={Zixuan Liu and Ziqiao Wang and Hongyu Guo and Yongyi Mao},
    booktitle={The Eleventh International Conference on Learning Representations },
    year={2023},
    url={https://openreview.net/forum?id=JmkjrlVE-DG}
}

@article{Wang2020,
  author = {Ziqiao Wang and Yongyi Mao and Hongyu Guo and Richong Zhang},
  title = {On SkipGram Word Embedding Models with Negative Sampling: Unified Framework and Impact of Noise Distributions},
  journal = {CoRR},
  year = {2020},
  volume = {abs/2009.04413},
  url = {https://arxiv.org/abs/2009.04413}
}

@inproceedings{
    wang2023informationtheoretic,
    title={Information-Theoretic Analysis of Unsupervised Domain Adaptation},
    author={Ziqiao Wang and Yongyi Mao},
    booktitle={The Eleventh International Conference on Learning Representations },
    year={2023},
    url={https://openreview.net/forum?id=c5tbxWXU9-y}
}

@inproceedings{wang2023tighter,
  title={Tighter Information-Theoretic Generalization Bounds from Supersamples},
  author={Wang, Ziqiao and Mao, Yongyi},
  booktitle={International Conference on Machine Learning},
  year={2023},
  organization={PMLR}
}

* denotes equal contribution.

Preprints

Conference Publications

  1. LH-Mix: Local Hierarchy Correlation Guided Mixup over Hierarchical Prompt Tuning
    Fanshuang Kong, Richong Zhang and Ziqiao Wang
    Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2025, [BibTeX].

  2. Generalization Bounds via Conditional \(f\)-Information
    Ziqiao Wang and Yongyi Mao
    Advances in Neural Information Processing Systems (NeurIPS) 2024, [Arxiv][Code][BibTeX].

  3. On \(f\)-Divergence Principled Domain Adaptation: An Improved Framework
    Ziqiao Wang and Yongyi Mao
    Advances in Neural Information Processing Systems (NeurIPS) 2024, [Arxiv][Code][BibTeX].

  4. Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States
    Ziqiao Wang and Yongyi Mao
    Conference on Uncertainty in Artificial Intelligence (UAI) 2024, [Arxiv][BibTeX].

  5. On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning
    Fanshuang Kong, Richong Zhang, Ziqiao Wang and Yongyi Mao
    Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 2024, [Code][Poster][BibTeX].

  6. Cross-modal and Uni-modal Soft-label Alignment for Image-Text Retrieval
    Hailang Huang, Zhijie Nie, Ziqiao Wang and Ziyu Shang
    Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 2024, [Arxiv][Code][Poster][BibTeX].

  7. Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds
    Ziqiao Wang and Yongyi Mao
    Advances in Neural Information Processing Systems (NeurIPS) 2023, [Arxiv] [Poster] [BibTeX].

  8. Tighter Information-Theoretic Generalization Bounds from Supersamples
    Ziqiao Wang and Yongyi Mao
    International Conference on Machine Learning (ICML) 2023 (Oral Presentation, top 2.2% of submissions), [Arxiv][Code][Poster][BibTeX].

  9. Information-Theoretic Analysis of Unsupervised Domain Adaptation
    Ziqiao Wang and Yongyi Mao
    International Conference on Learning Representations (ICLR) 2023, [Arxiv][Poster][BibTeX].

  10. Over-Training with Mixup May Hurt Generalization
    Zixuan Liu*, Ziqiao Wang*, Hongyu Guo, and Yongyi Mao
    International Conference on Learning Representations (ICLR) 2023, [Arxiv][BibTeX].

  11. On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications
    Ziqiao Wang and Yongyi Mao
    International Conference on Learning Representations (ICLR) 2022, [Arxiv][Poster][BibTeX].

Workshop Papers

  1. On \(f\)-Divergence Principled Domain Adaptation: An Improved Framework
    Ziqiao Wang and Yongyi Mao
    18th Canadian Workshop on Information Theory (CWIT 2024).

  2. Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States
    Ziqiao Wang and Yongyi Mao
    NeurIPS 2023 Workshop on Mathematics of Modern Machine Learning (M3L), [Poster] [BibTeX].

  3. Over-Training with Mixup May Hurt Generalization
    Zixuan Liu*, Ziqiao Wang*, Hongyu Guo, and Yongyi Mao
    NeurIPS 2022 Workshop on Interpolation Regularizers and Beyond, [Poster].