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ORCIDZeyu Tang 0002
Person information
- unicode name: 唐泽宇
- affiliation: Stanford University, Computer Science Department, Stanford, CA, USA
- affiliation (former): Carnegie Mellon University, Department of Philosophy, Pittsburgh, PA, USA
Other persons with the same name
- Zeyu Tang 0001
![[0000-0003-3789-2906]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3789-2906")
— Imperial College London, Bioengineering Department, UK - Zeyu Tang 0003 — Clemson University, Department of Electrical and Computer Engineering, SC, USA
- Zeyu Tang 0004 — China Jiliang University, School of Information Engineering, Hangzhou, China
- Zeyu Tang 0005 — China University of Mining and Technology, School of Environment and Spatial Informatics, Xuzhou, China
- Zeyu Tang 0006 — Beijing Normal University-Hong Kong Baptist University United International College, Zhuhai, China
- Zeyu Tang 0007 — China University of Geosciences, Institute of Geological Survey, Wuhan, China
- Zeyu Tang 0008 — Macao Polytechnic University, Faculty of Applied Sciences, Macao
- Zeyu Tang 0009 — Hunan University, Law School, Changsha, China
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2020 – today
- 2025
[j2]Usman Gohar, Zeyu Tang, Jialu Wang, Kun Zhang, Peter Spirtes, Yang Liu, Lu Cheng:
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges. Trans. Mach. Learn. Res. 2025 (2025)- [c11]Shaoan Xie, Lingjing, Yujia Zheng, Yu Yao, Zeyu Tang, Eric P. Xing, Guangyi Chen, Kun Zhang:
SmartCLIP: Modular Vision-language Alignment with Identification Guarantees. CVPR 2025: 29780-29790 - [c10]Haoyue Dai, Ignavier Ng, Jianle Sun, Zeyu Tang, Gongxu Luo, Xinshuai Dong, Peter Spirtes, Kun Zhang:
When Selection Meets Intervention: Additional Complexities in Causal Discovery. ICLR 2025 - [c9]Jingling Li, Zeyu Tang, Xiaoyu Liu, Peter Spirtes, Kun Zhang, Liu Leqi, Yang Liu:
Prompting Fairness: Integrating Causality to Debias Large Language Models. ICLR 2025 - [c8]Zeyu Tang, Zhenhao Chen, Xiangchen Song, Loka Li, Yunlong Deng, Yifan Shen, Guangyi Chen, Peter Spirtes, Kun Zhang:
Reflection-Window Decoding: Text Generation with Selective Refinement. ICML 2025 - [c7]Haoxuan Li, Zeyu Tang, Zhichao Jiang, Zhuangyan Fang, Yue Liu, Zhi Geng, Kun Zhang:
Fairness on Principal Stratum: A New Perspective on Counterfactual Fairness. ICML 2025 - [c6]Shaoan Xie, Lingjing Kong, Yujia Zheng, Zeyu Tang, Eric P. Xing, Guangyi Chen, Kun Zhang:
Learning Vision and Language Concepts for Controllable Image Generation. ICML 2025 - [i17]Yifan Shen, Peiyuan Zhu, Zijian Li, Shaoan Xie, Zeyu Tang, Namrata Deka, Zongfang Liu, Guangyi Chen, Kun Zhang:
Controllable Video Generation with Provable Disentanglement. CoRR abs/2502.02690 (2025) - [i16]Zeyu Tang, Zhenhao Chen, Loka Li, Xiangchen Song, Yunlong Deng, Yifan Shen, Guangyi Chen, Peter Spirtes, Kun Zhang:
Reflection-Window Decoding: Text Generation with Selective Refinement. CoRR abs/2502.03678 (2025) - [i15]Haoyue Dai, Ignavier Ng, Jianle Sun, Zeyu Tang, Gongxu Luo, Xinshuai Dong, Peter Spirtes, Kun Zhang:
When Selection Meets Intervention: Additional Complexities in Causal Discovery. CoRR abs/2503.07302 (2025) - [i14]Xiangchen Song, Aashiq Muhamed, Yujia Zheng, Lingjing Kong, Zeyu Tang, Mona T. Diab, Virginia Smith, Kun Zhang:
Position: Mechanistic Interpretability Should Prioritize Feature Consistency in SAEs. CoRR abs/2505.20254 (2025) - [i13]Yan Li, Guangyi Chen, Yunlong Deng, Zijian Li, Zeyu Tang, Anpeng Wu, Kun Zhang:
Should Bias Always be Eliminated? A Principled Framework to Use Data Bias for OOD Generation. CoRR abs/2507.17001 (2025) - [i12]Shaoan Xie, Lingjing Kong, Yujia Zheng, Yu Yao, Zeyu Tang, Eric P. Xing, Guangyi Chen, Kun Zhang:
SmartCLIP: Modular Vision-language Alignment with Identification Guarantees. CoRR abs/2507.22264 (2025) - [i11]Zeyu Tang, Alex John London, Atoosa Kasirzadeh, Sanmi Koyejo, Peter Spirtes, Kun Zhang:
Algorithmic Fairness amid Social Determinants: Reflection, Characterization, and Approach. CoRR abs/2508.08337 (2025) - [i10]Yunlong Deng, Boyang Sun, Yan Li, Lingjing Kong, Zeyu Tang, Kun Zhang, Guangyi Chen:
Selection, Reflection and Self-Refinement: Revisit Reasoning Tasks via a Causal Lens. CoRR abs/2510.08222 (2025) - [i9]Yunlong Deng, Guangyi Chen, Tianpei Gu, Lingjing Kong, Yan Li, Zeyu Tang, Kun Zhang:
Towards Self-Refinement of Vision-Language Models with Triangular Consistency. CoRR abs/2510.10487 (2025) - [i8]Sang Truong, Yuheng Tu, Michael Hardy, Anka Reuel, Zeyu Tang, Jirayu Burapacheep, Jonathan Perera, Chibuike Uwakwe, Ben Domingue, Nick Haber, Sanmi Koyejo:
Fantastic Bugs and Where to Find Them in AI Benchmarks. CoRR abs/2511.16842 (2025) - 2024
- [c5]Zeyu Tang, Jialu Wang, Yang Liu, Peter Spirtes, Kun Zhang:
Procedural Fairness Through Decoupling Objectionable Data Generating Components. ICLR 2024 - [c4]Yujia Zheng, Zeyu Tang, Yiwen Qiu, Bernhard Schölkopf, Kun Zhang:
Detecting and Identifying Selection Structure in Sequential Data. ICML 2024 - [i7]Jingling Li, Zeyu Tang, Xiaoyu Liu, Peter Spirtes, Kun Zhang, Liu Leqi, Yang Liu:
Steering LLMs Towards Unbiased Responses: A Causality-Guided Debiasing Framework. CoRR abs/2403.08743 (2024) - [i6]Usman Gohar, Zeyu Tang, Jialu Wang, Kun Zhang, Peter L. Spirtes, Yang Liu, Lu Cheng:
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges. CoRR abs/2406.06736 (2024) - [i5]Yujia Zheng, Zeyu Tang, Yiwen Qiu, Bernhard Schölkopf, Kun Zhang:
Detecting and Identifying Selection Structure in Sequential Data. CoRR abs/2407.00529 (2024) - 2023
- [j1]Zeyu Tang, Jiji Zhang, Kun Zhang:
What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective. ACM Comput. Surv. 55(13s): 299:1-299:37 (2023) - [c3]Zeyu Tang, Yatong Chen, Yang Liu, Kun Zhang:
Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors. ICLR 2023 - [c2]Yatong Chen, Zeyu Tang, Kun Zhang, Yang Liu:
Model Transferability with Responsive Decision Subjects. ICML 2023: 4921-4952 - [i4]Zeyu Tang, Yatong Chen, Yang Liu, Kun Zhang:
Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors. CoRR abs/2301.08987 (2023) - [i3]Zeyu Tang, Jialu Wang, Yang Liu, Peter Spirtes, Kun Zhang:
Procedural Fairness Through Decoupling Objectionable Data Generating Components. CoRR abs/2311.14688 (2023) - 2022
- [c1]Zeyu Tang, Kun Zhang:
Attainability and Optimality: The Equalized Odds Fairness Revisited. CLeaR 2022: 754-786 - [i2]Zeyu Tang, Kun Zhang:
Attainability and Optimality: The Equalized Odds Fairness Revisited. CoRR abs/2202.11853 (2022) - [i1]Zeyu Tang, Jiji Zhang, Kun Zhang:
What-Is and How-To for Fairness in Machine Learning: A Survey, Reflection, and Perspective. CoRR abs/2206.04101 (2022)
Coauthor Index
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