Yiyou Sun

Yiyou Sun

`you` is the pronunciation of `铀`
(meaning `Uranium`)

Publications

You can also find articles on my Google Scholar profile.

Publications

Revisiting Score Propagation in Graph Out-of-Distribution Detection
Longfei Ma*, Yiyou Sun*, Kaize Ding, Zemin Liu, Fei Wu
(* indicates equal contribution)
NeurIPS 2024
Improving Logits-based Detector without Logits from Black-box LLMs
Cong Zeng, Shengkun Tang, Xianjun Yang, Yuanzhou Chen, Yiyou Sun, zhiqiang xu, Yao Li, Haifeng Chen, Wei Cheng, Dongkuan Xu
NeurIPS 2024
[Arxiv]
Chatbot Meets Pipeline: Augment Large Language Model with Definite Finite Automaton
Yiyou Sun, Junjie Hu, Wei Cheng, Haifeng Chen
ICML 2024
[Arxiv]
When and How Does In-Distribution Label Help Out-of-Distribution Detection?
Xuefeng Du, Yiyou Sun, Yixuan Li
ICML 2024
Uncertainty Decomposition and Quantification for In-Context Learning of Large Language Models
Chen Ling, Xujiang Zhao, Xuchao Zhang, Wei Cheng, Yanchi Liu, Yiyou Sun, Mika Oishi, Takao Osaki, Katsushi Matsuda, Jie Ji, Guangji Bai, Liang Zhao, Haifeng Chen
NAACL 2024
[Arxiv]
How to Overcome Curse-of-Dimensionality for OOD Detection?
Soumya Suvra Ghosal*, Yiyou Sun*, Yixuan Li
(* indicates equal contribution)
AAAI 2024
A Graph-Theoretic Framework for Understanding Open-World Representation Learning
Yiyou Sun, Zhenmei Shi, Yixuan Li
NeurIPS 2023 (Spotlight)
[Paper] [Code] [OpenReview]
Dream the Impossible: Outlier Imagination with Diffusion Models
Xuefeng Du, Yiyou Sun, Xiaojin Zhu, Yixuan Li
NeurIPS 2023
[Paper] [Code]
When and How Does Known Class Help Discover Unknown Ones? Provable Understandings Through Spectral Analysis
Yiyou Sun, Zhenmei Shi, Yingyu Liang, Yixuan Li
ICML 2023
[Paper] [Code] [OpenReview] [Video]
Rethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment
Yiyou Sun, Yaojie Liu, Xiaoming Liu, Yixuan Li, Wen-Sheng Chu
CVPR 2023
[arXiv] [Code]
OpenCon: Open-world Contrastive Learning
Yiyou Sun, Yixuan (Sharon) Li
TMLR 2023
[arXiv][Code]
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?
Yifei Ming, Yiyou Sun, Ousmane Dia, Yixuan (Sharon) Li
ICLR 2023
[arXiv] [OpenReview]
Out-of-distribution Detection with Deep Nearest Neighbors
Yiyou Sun, Yifei Ming, Xiaojin Zhu, Yixuan (Sharon) Li
ICML 2022
[Paper] [Code] [Slides]
DICE: Leveraging Sparsification for Out-of-Distribution Detection
Yiyou Sun, Yixuan (Sharon) Li
ECCV 2022
[Paper] [Code] [Poster] [Video]
ReAct: Out-of-distribution Detection With Rectified Activations
Yiyou Sun, Chuan Guo, Yixuan (Sharon) Li
NeurIPS 2021
[Paper] [Code] [Slides]
Delving into OOD Detection with Vision-Language Representations
Yifei Ming, Ziyang Cai, Jiuxiang Gu, Yiyou Sun, Wei Li, Yixuan (Sharon) Li
NeurIPS 2022
[Paper]
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection
Jingkang Yang, Pengyun Wang, Dejian Zou, Zitang Zhou, Kunyuan Ding, Wenxuan Peng, Haoqi Wang, Guangyao Chen, Bo Li, Yiyou Sun, Xuefeng Du, Kaiyang Zhou, Wayne Zhang, Dan Hendrycks, Yixuan (Sharon) Li, Ziwei Liu
NeurIPS 2022 (Datasets and Benchmarks Track)
[Paper] [Code]
Adaptive Activation Thresholding: Dynamic Routing Type Behavior for Interpretability in Convolutional Neural Networks
Yiyou Sun, Sathya Ravi, Vikas Singh
ICCV 2019
[Paper] [Webpage] [Code]
Interpretable Basis Decomposition for Visual Explanation
Bolei Zhou*, Yiyou Sun*, David Bau*, Antonio Torralba
(* indicates equal contribution)
ECCV 2018
[Paper] [Code]

Other Research Projects

Revisiting the Importance of Individual Units in CNNs via Ablation
Bolei Zhou, Yiyou Sun, David Bau, Antonio Torralba
arXiv:1806.02891
[arXiv]
Faster R-CNN based autonomous navigation for vehicles in warehouse
Yiyou Sun, Tonghua Su, Zhiying Tu
2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM 2017)
[Paper]
LOOD: Localization-based Uncertainty Estimation for Medical Imaging
Yiyou Sun, Bastin Joseph, Alison Deatsch, Robert Jeraj, Yixuan (Sharon) Li
ICML Workshop on Distribution-Free Uncertainty Quantification 2021
(Spotlight)
[Video]
The Periodic Table of Data Structures
Stratos Idreos, Kostas Zoumpatianos, Manos Athanassoulis, Niv Dayan, Brian Hentschel, Michael S. Kester, Demi Guo, Lukas Maas, Wilson Qin, Abdul Wasay, Yiyou Sun
IEEE Data Engineering Bulletin
[Paper]
Learning Data Structure Alchemy
Stratos Idreos, Kostas Zoumpatianos, Subarna Chatterjee, Wilson Qin, Abdul Wasay, Brian Hentschel, Mike Kester, Niv Dayan, Demi Guo, Minseo Kang, Yiyou Sun
Bulletin of the IEEE Computer Society Technical Committee on Data Engineering
[Paper]