Zeyu Tang - RankMe

30 papers A* 10Journal 19Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Algorithmic Fairness amid Social Determinants: Reflection, Characterization, and Approach. CoRR Zeyu Tang, Alex John London, Atoosa Kasirzadeh, Sanmi Koyejo, Peter Spirtes, Kun Zhang
2025	J	`jnl`	Controllable Video Generation with Provable Disentanglement. CoRR Yifan Shen, Peiyuan Zhu, Zijian Li, Shaoan Xie, Zeyu Tang, Namrata Deka, Zongfang Liu, Guangyi Chen, Kun Zhang
2025	A*	`conf`	Fairness on Principal Stratum: A New Perspective on Counterfactual Fairness. ICML Haoxuan Li, Zeyu Tang, Zhichao Jiang, Zhuangyan Fang, Yue Liu, Zhi Geng, Kun Zhang
2025	J	`jnl`	Fantastic Bugs and Where to Find Them in AI Benchmarks. CoRR Sang Truong, Yuheng Tu, Michael Hardy, Anka Reuel, Zeyu Tang, Jirayu Burapacheep, Jonathan Perera, Chibuike Uwakwe, Ben Domingue, Nick Haber, Sanmi Koyejo
2025	A*	`conf`	Learning Vision and Language Concepts for Controllable Image Generation. ICML Shaoan Xie, Lingjing Kong, Yujia Zheng, Zeyu Tang, Eric P. Xing, Guangyi Chen, Kun Zhang
2025	J	`jnl`	Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges. Trans. Mach. Learn. Res. Usman Gohar, Zeyu Tang, Jialu Wang, Kun Zhang, Peter Spirtes, Yang Liu, Lu Cheng
2025	J	`jnl`	Position: Mechanistic Interpretability Should Prioritize Feature Consistency in SAEs. CoRR Xiangchen Song, Aashiq Muhamed, Yujia Zheng, Lingjing Kong, Zeyu Tang, Mona T. Diab, Virginia Smith, Kun Zhang
2025	A*	`conf`	Prompting Fairness: Integrating Causality to Debias Large Language Models. ICLR Jingling Li, Zeyu Tang, Xiaoyu Liu, Peter Spirtes, Kun Zhang, Liu Leqi, Yang Liu
2025	A*	`conf`	Reflection-Window Decoding: Text Generation with Selective Refinement. ICML Zeyu Tang, Zhenhao Chen, Xiangchen Song, Loka Li, Yunlong Deng, Yifan Shen, Guangyi Chen, Peter Spirtes, Kun Zhang
2025	J	`jnl`	Reflection-Window Decoding: Text Generation with Selective Refinement. CoRR Zeyu Tang, Zhenhao Chen, Loka Li, Xiangchen Song, Yunlong Deng, Yifan Shen, Guangyi Chen, Peter Spirtes, Kun Zhang
2025	J	`jnl`	Selection, Reflection and Self-Refinement: Revisit Reasoning Tasks via a Causal Lens. CoRR Yunlong Deng, Boyang Sun, Yan Li, Lingjing Kong, Zeyu Tang, Kun Zhang, Guangyi Chen
2025	J	`jnl`	Should Bias Always be Eliminated? A Principled Framework to Use Data Bias for OOD Generation. CoRR Yan Li, Guangyi Chen, Yunlong Deng, Zijian Li, Zeyu Tang, Anpeng Wu, Kun Zhang
2025	A*	`conf`	SmartCLIP: Modular Vision-language Alignment with Identification Guarantees. CVPR Shaoan Xie, Lingjing, Yujia Zheng, Yu Yao, Zeyu Tang, Eric P. Xing, Guangyi Chen, Kun Zhang
2025	J	`jnl`	SmartCLIP: Modular Vision-language Alignment with Identification Guarantees. CoRR Shaoan Xie, Lingjing Kong, Yujia Zheng, Yu Yao, Zeyu Tang, Eric P. Xing, Guangyi Chen, Kun Zhang
2025	J	`jnl`	Towards Self-Refinement of Vision-Language Models with Triangular Consistency. CoRR Yunlong Deng, Guangyi Chen, Tianpei Gu, Lingjing Kong, Yan Li, Zeyu Tang, Kun Zhang
2025	A*	`conf`	When Selection Meets Intervention: Additional Complexities in Causal Discovery. ICLR Haoyue Dai, Ignavier Ng, Jianle Sun, Zeyu Tang, Gongxu Luo, Xinshuai Dong, Peter Spirtes, Kun Zhang
2025	J	`jnl`	When Selection Meets Intervention: Additional Complexities in Causal Discovery. CoRR Haoyue Dai, Ignavier Ng, Jianle Sun, Zeyu Tang, Gongxu Luo, Xinshuai Dong, Peter Spirtes, Kun Zhang
2024	A*	`conf`	Detecting and Identifying Selection Structure in Sequential Data. ICML Yujia Zheng, Zeyu Tang, Yiwen Qiu, Bernhard Schölkopf, Kun Zhang
2024	J	`jnl`	Detecting and Identifying Selection Structure in Sequential Data. CoRR Yujia Zheng, Zeyu Tang, Yiwen Qiu, Bernhard Schölkopf, Kun Zhang
2024	J	`jnl`	Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges. CoRR Usman Gohar, Zeyu Tang, Jialu Wang, Kun Zhang, Peter L. Spirtes, Yang Liu, Lu Cheng
2024	A*	`conf`	Procedural Fairness Through Decoupling Objectionable Data Generating Components. ICLR Zeyu Tang, Jialu Wang, Yang Liu, Peter Spirtes, Kun Zhang
2024	J	`jnl`	Steering LLMs Towards Unbiased Responses: A Causality-Guided Debiasing Framework. CoRR Jingling Li, Zeyu Tang, Xiaoyu Liu, Peter Spirtes, Kun Zhang, Liu Leqi, Yang Liu
2023	A*	`conf`	Model Transferability with Responsive Decision Subjects. ICML Yatong Chen, Zeyu Tang, Kun Zhang, Yang Liu
2023	J	`jnl`	Procedural Fairness Through Decoupling Objectionable Data Generating Components. CoRR Zeyu Tang, Jialu Wang, Yang Liu, Peter Spirtes, Kun Zhang
2023	A*	`conf`	Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors. ICLR Zeyu Tang, Yatong Chen, Yang Liu, Kun Zhang
2023	J	`jnl`	Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors. CoRR Zeyu Tang, Yatong Chen, Yang Liu, Kun Zhang
2023	J	`jnl`	What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective. ACM Comput. Surv. Zeyu Tang, Jiji Zhang, Kun Zhang
2022	—	`conf`	Attainability and Optimality: The Equalized Odds Fairness Revisited. CLeaR Zeyu Tang, Kun Zhang
2022	J	`jnl`	Attainability and Optimality: The Equalized Odds Fairness Revisited. CoRR Zeyu Tang, Kun Zhang
2022	J	`jnl`	What-Is and How-To for Fairness in Machine Learning: A Survey, Reflection, and Perspective. CoRR Zeyu Tang, Jiji Zhang, Kun Zhang