Yibo Jacky Zhang

According to our database, Yibo Jacky Zhang authored at least 18 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Is Backpropagation Optimal? When Synthetic Gradients Improve Sample Efficiency.

Yibo Jacky Zhang, Zeyu Tang, Sanmi Koyejo

CoRR, May, 2026

In-Situ Behavioral Evaluation for LLM Fairness, Not Standardized-Test Scores.

Zeyu Tang, Sang T. Truong, Deonna Owens, Shreyas Sharma, Yibo Jacky Zhang, Brando Miranda, Sanmi Koyejo

CoRR, May, 2026

Latent Adversarial Regularization for Offline Preference Optimization.

Enyi Jiang, Yibo Jacky Zhang, Yinglun Xu, Andreas Haupt, Nancy M. Amato, Sanmi Koyejo

CoRR, January, 2026

2025

A Framework for Objective-Driven Dynamical Stochastic Fields.

Yibo Jacky Zhang, Sanmi Koyejo

CoRR, April, 2025

Aligning Compound AI Systems via System-level DPO.

Xiangwen Wang, Yibo Jacky Zhang, Zhoujie Ding, Katherine Tsai, Sanmi Koyejo

CoRR, February, 2025

Improving Single-round Active Adaptation: A Prediction Variability Perspective.

Xiaoyang Wang, Yibo Jacky Zhang, Olawale Elijah Salaudeen, Mingyuan Wu, Hongpeng Guo, Chaoyang He, Klara Nahrstedt, Sanmi Koyejo

Trans. Mach. Learn. Res., 2025

Aligning Compound AI Systems via System-level DPO.

Xiangwen Wang, Yibo Jacky Zhang, Zhoujie Ding, Katherine Tsai, Haolun Wu, Sanmi Koyejo

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting.

Enyi Jiang, Yibo Jacky Zhang, Sanmi Koyejo

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Can Public Large Language Models Help Private Cross-device Federated Learning?

Boxin Wang, Jacky Yibo Zhang, Yuan Cao, Bo Li, H. Brendan McMahan, Sewoong Oh, Zheng Xu, Manzil Zaheer

CoRR, 2023

Federated Domain Adaptation via Gradient Projection.

Enyi Jiang, Yibo Jacky Zhang, Oluwasanmi Koyejo

CoRR, 2023

2022

Batch Active Learning from the Perspective of Sparse Approximation.

Maohao Shen, Bowen Jiang, Jacky Yibo Zhang, Oluwasanmi Koyejo

CoRR, 2022

Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization.

Xiaojun Xu, Jacky Yibo Zhang, Evelyn Ma, Danny Son, Oluwasanmi Koyejo, Bo Li

CoRR, 2022

Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization.

Xiaojun Xu, Jacky Y. Zhang, Evelyn Ma, Hyun Ho Son, Sanmi Koyejo, Bo Li

Proceedings of the International Conference on Machine Learning, 2022

2021

Labeling Cost Sensitive Batch Active Learning For Brain Tumor Segmentation.

Maohao Shen, Jacky Y. Zhang, Leihao Chen, Weiman Yan, Neel Jani, Brad Sutton, Oluwasanmi Koyejo

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability.

Kaizhao Liang, Jacky Y. Zhang, Boxin Wang, Zhuolin Yang, Sanmi Koyejo, Bo Li

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Bayesian Coresets: An Optimization Perspective.

Jacky Y. Zhang, Rajiv Khanna, Anastasios Kyrillidis, Oluwasanmi Koyejo

CoRR, 2020

Does Adversarial Transferability Indicate Knowledge Transferability?

Kaizhao Liang, Jacky Y. Zhang, Oluwasanmi Koyejo, Bo Li

CoRR, 2020

2019

Learning Sparse Distributions using Iterative Hard Thresholding.

Jacky Y. Zhang, Rajiv Khanna, Anastasios Kyrillidis, Oluwasanmi Koyejo

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019