Zeyu Tang

According to our database, Zeyu Tang authored at least 17 papers between 2022 and 2025.

Collaborative distances:

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

2025

Algorithmic Fairness amid Social Determinants: Reflection, Characterization, and Approach.

Zeyu Tang, Alex John London, Atoosa Kasirzadeh, Sanmi Koyejo, Peter Spirtes, Kun Zhang

CoRR, August, 2025

SmartCLIP: Modular Vision-language Alignment with Identification Guarantees.

Shaoan Xie, Lingjing Kong, Yujia Zheng, Yu Yao, Zeyu Tang, Eric P. Xing, Guangyi Chen, Kun Zhang

CoRR, July, 2025

Should Bias Always be Eliminated? A Principled Framework to Use Data Bias for OOD Generation.

Yan Li, Guangyi Chen, Yunlong Deng, Zijian Li, Zeyu Tang, Anpeng Wu, Kun Zhang

CoRR, July, 2025

Position: Mechanistic Interpretability Should Prioritize Feature Consistency in SAEs.

Xiangchen Song, Aashiq Muhamed, Yujia Zheng, Lingjing Kong, Zeyu Tang, Mona T. Diab, Virginia Smith, Kun Zhang

CoRR, May, 2025

Reflection-Window Decoding: Text Generation with Selective Refinement.

Zeyu Tang, Zhenhao Chen, Loka Li, Xiangchen Song, Yunlong Deng, Yifan Shen, Guangyi Chen, Peter Spirtes, Kun Zhang

CoRR, February, 2025

Controllable Video Generation with Provable Disentanglement.

Yifan Shen, Peiyuan Zhu, Zijian Li, Shaoan Xie, Zeyu Tang, Namrata Deka, Zongfang Liu, Guangyi Chen, Kun Zhang

CoRR, February, 2025

Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges.

Usman Gohar, Zeyu Tang, Jialu Wang, Kun Zhang, Peter Spirtes, Yang Liu, Lu Cheng

Trans. Mach. Learn. Res., 2025

Prompting Fairness: Integrating Causality to Debias Large Language Models.

Jingling Li, Zeyu Tang, Xiaoyu Liu, Peter Spirtes, Kun Zhang, Liu Leqi, Yang Liu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

When Selection Meets Intervention: Additional Complexities in Causal Discovery.

Haoyue Dai, Ignavier Ng, Jianle Sun, Zeyu Tang, Gongxu Luo, Xinshuai Dong, Peter Spirtes, Kun Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SmartCLIP: Modular Vision-language Alignment with Identification Guarantees.

Shaoan Xie, Lingjing, Yujia Zheng, Yu Yao, Zeyu Tang, Eric P. Xing, Guangyi Chen, Kun Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Steering LLMs Towards Unbiased Responses: A Causality-Guided Debiasing Framework.

Jingling Li, Zeyu Tang, Xiaoyu Liu, Peter Spirtes, Kun Zhang, Liu Leqi, Yang Liu

CoRR, 2024

Detecting and Identifying Selection Structure in Sequential Data.

Yujia Zheng, Zeyu Tang, Yiwen Qiu, Bernhard Schölkopf, Kun Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Procedural Fairness Through Decoupling Objectionable Data Generating Components.

Zeyu Tang, Jialu Wang, Yang Liu, Peter Spirtes, Kun Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective.

Zeyu Tang, Jiji Zhang, Kun Zhang

ACM Comput. Surv., 2023

Model Transferability with Responsive Decision Subjects.

Yatong Chen, Zeyu Tang, Kun Zhang, Yang Liu

Proceedings of the International Conference on Machine Learning, 2023

Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors.

Zeyu Tang, Yatong Chen, Yang Liu, Kun Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Attainability and Optimality: The Equalized Odds Fairness Revisited.

Zeyu Tang, Kun Zhang

Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022