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ORCIDYibo Jacky Zhang
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- affiliation: Stanford University, CA, USA
- affiliation (former): University of Illinois at Urbana-Champaign, IL, USA
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2020 – today
- 2026
[i10]Enyi Jiang, Yibo Jacky Zhang, Yinglun Xu, Andreas Haupt, Nancy M. Amato, Sanmi Koyejo:
Latent Adversarial Regularization for Offline Preference Optimization. CoRR abs/2601.22083 (2026)- 2025
- [j1]Xiaoyang Wang, Yibo Jacky Zhang, Olawale Elijah Salaudeen, Mingyuan Wu, Hongpeng Guo, Chaoyang He, Klara Nahrstedt, Sanmi Koyejo:
Improving Single-round Active Adaptation: A Prediction Variability Perspective. Trans. Mach. Learn. Res. 2025 (2025) - [i9]Xiangwen Wang, Yibo Jacky Zhang, Zhoujie Ding, Katherine Tsai, Sanmi Koyejo:
Aligning Compound AI Systems via System-level DPO. CoRR abs/2502.17721 (2025) - [i8]Yibo Jacky Zhang, Sanmi Koyejo:
A Framework for Objective-Driven Dynamical Stochastic Fields. CoRR abs/2504.16115 (2025) - 2024
- [c5]Enyi Jiang, Yibo Jacky Zhang, Sanmi Koyejo:
Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting. ICLR 2024 - 2023
- [i7]Enyi Jiang, Yibo Jacky Zhang, Oluwasanmi Koyejo:
Federated Domain Adaptation via Gradient Projection. CoRR abs/2302.05049 (2023) - [i6]Boxin Wang, Jacky Yibo Zhang, Yuan Cao, Bo Li, H. Brendan McMahan, Sewoong Oh, Zheng Xu, Manzil Zaheer:
Can Public Large Language Models Help Private Cross-device Federated Learning? CoRR abs/2305.12132 (2023) - 2022
- [c4]Xiaojun Xu, Jacky Y. Zhang, Evelyn Ma, Hyun Ho Son, Sanmi Koyejo, Bo Li:
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization. ICML 2022: 24770-24802 - [i5]Xiaojun Xu, Jacky Yibo Zhang, Evelyn Ma, Danny Son, Oluwasanmi Koyejo, Bo Li:
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization. CoRR abs/2202.01832 (2022) - [i4]Maohao Shen, Bowen Jiang, Jacky Yibo Zhang, Oluwasanmi Koyejo:
Batch Active Learning from the Perspective of Sparse Approximation. CoRR abs/2211.00246 (2022) - 2021
- [c3]Kaizhao Liang, Jacky Y. Zhang, Boxin Wang, Zhuolin Yang, Sanmi Koyejo, Bo Li:
Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability. ICML 2021: 6577-6587 - [c2]Maohao Shen, Jacky Y. Zhang, Leihao Chen, Weiman Yan
, Neel Jani, Brad Sutton, Oluwasanmi Koyejo:
Labeling Cost Sensitive Batch Active Learning For Brain Tumor Segmentation. ISBI 2021: 1269-1273 - 2020
- [i3]Kaizhao Liang, Jacky Y. Zhang, Oluwasanmi Koyejo, Bo Li:
Does Adversarial Transferability Indicate Knowledge Transferability? CoRR abs/2006.14512 (2020) - [i2]Jacky Y. Zhang, Rajiv Khanna, Anastasios Kyrillidis, Oluwasanmi Koyejo:
Bayesian Coresets: An Optimization Perspective. CoRR abs/2007.00715 (2020)
2010 – 2019
- 2019
- [c1]Jacky Y. Zhang, Rajiv Khanna, Anastasios Kyrillidis, Oluwasanmi Koyejo:
Learning Sparse Distributions using Iterative Hard Thresholding. NeurIPS 2019: 6757-6766 - [i1]Jacky Y. Zhang, Rajiv Khanna, Anastasios Kyrillidis, Oluwasanmi Koyejo:
Learning Sparse Distributions using Iterative Hard Thresholding. CoRR abs/1910.13389 (2019)
Coauthor Index
aka: Sanmi Koyejo
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