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ORCIDYi Sui 0001
Person information
- affiliation: Layer 6 AI
Other persons with the same name
- Yi Sui — disambiguation page
- Yi Sui 0002
![[0000-0003-3068-6261]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3068-6261")
— Harbin Institute of Technology, Harbin, China - Yi Sui 0003 — Qingdao University, Qingdao, Shandong, China
- Yi Sui 0004 — Beijing Institute of Technology, Beijing, China
- Yi Sui 0005 — University of Toronto, Toronto, ON, Canada
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2020 – today
- 2025
[c5]Jesse C. Cresswell, Bhargava Kumar, Yi Sui, Mouloud Belbahri:
Conformal Prediction Sets Can Cause Disparate Impact. ICLR 2025- [c4]Naihe Feng, Yi Sui, Shiyi Hou, Jesse C. Cresswell, Ga Wu:
Response Quality Assessment for Retrieval-Augmented Generation via Conditional Conformal Factuality. SIGIR 2025: 2832-2836 - [i9]Wei Cui, Tongzi Wu, Jesse C. Cresswell, Yi Sui, Keyvan Golestan:
DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks. CoRR abs/2503.09679 (2025) - [i8]Brendan Leigh Ross, Noël Vouitsis, Atiyeh Ashari Ghomi, Rasa Hosseinzadeh, Ji Xin, Zhaoyan Liu, Yi Sui, Shiyi Hou, Kin Kwan Leung, Gabriel Loaiza-Ganem, Jesse C. Cresswell:
Textual Bayes: Quantifying Uncertainty in LLM-Based Systems. CoRR abs/2506.10060 (2025) - [i7]Naihe Feng, Yi Sui, Shiyi Hou, Jesse C. Cresswell, Ga Wu:
Response Quality Assessment for Retrieval-Augmented Generation via Conditional Conformal Factuality. CoRR abs/2506.20978 (2025) - 2024
- [c3]Yi Sui, Tongzi Wu, Jesse C. Cresswell, Ga Wu, George Stein, Xiao Shi Huang, Xiaochen Zhang, Maksims Volkovs:
Self-supervised Representation Learning from Random Data Projectors. ICLR 2024 - [c2]Jesse C. Cresswell, Yi Sui, Bhargava Kumar, Noël Vouitsis:
Conformal Prediction Sets Improve Human Decision Making. ICML 2024 - [i6]Jesse C. Cresswell, Yi Sui, Bhargava Kumar, Noël Vouitsis:
Conformal Prediction Sets Improve Human Decision Making. CoRR abs/2401.13744 (2024) - [i5]Antoni Kowalczuk, Jan Dubinski, Atiyeh Ashari Ghomi, Yi Sui, George Stein, Jiapeng Wu, Jesse C. Cresswell, Franziska Boenisch, Adam Dziedzic:
Benchmarking Robust Self-Supervised Learning Across Diverse Downstream Tasks. CoRR abs/2407.12588 (2024) - [i4]Jesse C. Cresswell, Bhargava Kumar, Yi Sui, Mouloud Belbahri:
Conformal Prediction Sets Can Cause Disparate Impact. CoRR abs/2410.01888 (2024) - 2023
- [c1]George Stein, Jesse C. Cresswell, Rasa Hosseinzadeh, Yi Sui, Brendan Leigh Ross, Valentin Villecroze, Zhaoyan Liu, Anthony L. Caterini, J. Eric T. Taylor, Gabriel Loaiza-Ganem:
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models. NeurIPS 2023 - [i3]George Stein, Jesse C. Cresswell, Rasa Hosseinzadeh, Yi Sui, Brendan Leigh Ross, Valentin Villecroze, Zhaoyan Liu, Anthony L. Caterini, J. Eric T. Taylor, Gabriel Loaiza-Ganem:
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models. CoRR abs/2306.04675 (2023) - [i2]Yi Sui, Tongzi Wu, Jesse C. Cresswell, Ga Wu, George Stein, Xiao Shi Huang, Xiaochen Zhang, Maksims Volkovs:
Self-supervised Representation Learning From Random Data Projectors. CoRR abs/2310.07756 (2023) - 2022
- [i1]Yi Sui, Junfeng Wen, Yenson Lau, Brendan Leigh Ross, Jesse C. Cresswell:
Find Your Friends: Personalized Federated Learning with the Right Collaborators. CoRR abs/2210.06597 (2022)
Coauthor Index
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