Publications & Preprints
@inproceedings{zhang2025dynamic, title = "Dynamic Task Vector Grouping for Efficient Multi-Task Prompt Tuning", author = "Zhang, Peiyi and Zhang, Richong and Nie, Zhijie and Wang, Ziqiao", booktitle = "Findings of the Association for Computational Linguistics: ACL 2025", month = jul, year = "2025", address = "Vienna, Austria", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2025.findings-acl.1374/", pages = "26805--26821", ISBN = "979-8-89176-256-5" }
@inproceedings{yao2025revisiting, title = "Revisiting Weak-to-Strong Generalization in Theory and Practice: Reverse {KL} vs. Forward {KL}", author = "Yao, Wei and Yang, Wenkai and Wang, Ziqiao and Lin, Yankai and Liu, Yong", booktitle = "Findings of the Association for Computational Linguistics: ACL 2025", month = jul, year = "2025", address = "Vienna, Austria", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2025.findings-acl.148/", pages = "2860--2888", ISBN = "979-8-89176-256-5" }
@inproceedings{ wang2025generalization, title={Generalization in Federated Learning: A Conditional Mutual Information Framework}, author={Ziqiao Wang and Cheng Long and Yongyi Mao}, booktitle={Forty-second International Conference on Machine Learning}, year={2025}, url={https://openreview.net/forum?id=kOttDCDYJp} }
@inproceedings{kong2025PL, author = {Kong, Fanshuang and Zhang, Richong and Guo, Xiaohui and Chen, Junfan and Wang, Ziqiao}, title = {Preserving Label Correlation for Multi-label Text Classification by Prototypical Regularizations}, year = {2025}, isbn = {9798400712746}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3696410.3714797}, doi = {10.1145/3696410.3714797}, booktitle = {Proceedings of the ACM on Web Conference 2025}, pages = {3300–3310}, numpages = {11}, location = {Sydney NSW, Australia}, series = {WWW '25} }
@inproceedings{kong2025LH, author = {Kong, Fanshuang and Zhang, Richong and Wang, Ziqiao}, title = {LH-Mix: Local Hierarchy Correlation Guided Mixup over Hierarchical Prompt Tuning}, year = {2025}, isbn = {9798400712456}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, url = {https://doi.org/10.1145/3690624.3709326}, doi = {10.1145/3690624.3709326}, booktitle = {Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1}, pages = {636–646}, numpages = {11}, location = {Toronto ON, Canada}, series = {KDD '25} }
@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. \(\dagger\) denotes corresponding author(s). Preprints
Conference Publications
Workshop Papers
Ph.D. Thesis
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