Yiyou Sun

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 37

Top Topics

Theoretic Framework

Automatic Detection

Diffusion Models

Top Venues

IEEE Data Eng. Bull.

Publications

Cong Zeng, Shengkun Tang, Xianjun Yang, Yuanzhou Chen, Yiyou Sun, Zhiqiang Xu, Yao Li, Haifeng Chen, Wei Cheng, Dongkuan Xu
Improving Logits-based Detector without Logits from Black-box LLMs. CoRR (2024)
Xuefeng Du, Yiyou Sun, Yixuan Li
When and How Does In-Distribution Label Help Out-of-Distribution Detection? CoRR (2024)
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
Uncertainty Quantification for In-Context Learning of Large Language Models. NAACL-HLT (2024)
Soumya Suvra Ghosal, Yiyou Sun, Yixuan Li
How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection? AAAI (2024)
Chen Ling, Xujiang Zhao, Wei Cheng, Yanchi Liu, Yiyou Sun, Xuchao Zhang, Mika Oishi, Takao Osaki, Katsushi Matsuda, Jie Ji, Guangji Bai, Liang Zhao, Haifeng Chen
Uncertainty Decomposition and Quantification for In-Context Learning of Large Language Models. CoRR (2024)
Yiyou Sun, Junjie Hu, Wei Cheng, Haifeng Chen
Chatbot Meets Pipeline: Augment Large Language Model with Definite Finite Automaton. CoRR (2024)
Soumya Suvra Ghosal, Yiyou Sun, Yixuan Li
How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection? CoRR (2023)
Yiyou Sun, Zhenmei Shi, Yingyu Liang, Yixuan Li
When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis. ICML (2023)
Yiyou Sun, Zhenmei Shi, Yixuan Li
A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning. NeurIPS (2023)
Yiyou Sun, Yaojie Liu, Xiaoming Liu, Yixuan Li, Wen-Sheng Chu
Rethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment. CoRR (2023)
Yiyou Sun
Detecting and Learning Out-of-Distribution Data in the Open world: Algorithm and Theory. CoRR (2023)
Xuefeng Du, Yiyou Sun, Xiaojin Zhu, Yixuan Li
Dream the Impossible: Outlier Imagination with Diffusion Models. CoRR (2023)
Yiyou Sun, Yixuan Li
OpenCon: Open-world Contrastive Learning. Trans. Mach. Learn. Res. 2023 (2023)
Jingyang Zhang, Jingkang Yang, Pengyun Wang, Haoqi Wang, Yueqian Lin, Haoran Zhang, Yiyou Sun, Xuefeng Du, Kaiyang Zhou, Wayne Zhang, Yixuan Li, Ziwei Liu, Yiran Chen, Hai Li
OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection. CoRR (2023)
Yiyou Sun, Yaojie Liu, Xiaoming Liu, Yixuan Li, Wen-Sheng Chu
Rethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment. CVPR (2023)
Yifei Ming, Yiyou Sun, Ousmane Dia, Yixuan Li
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection? ICLR (2023)
Xuefeng Du, Yiyou Sun, Jerry Zhu, Yixuan Li
Dream the Impossible: Outlier Imagination with Diffusion Models. NeurIPS (2023)
Yiyou Sun, Zhenmei Shi, Yingyu Liang, Yixuan Li
When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis. CoRR (2023)
Yiyou Sun, Zhenmei Shi, Yixuan Li
A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning. CoRR (2023)
Yiyou Sun, Yifei Ming, Xiaojin Zhu, Yixuan Li
Out-of-distribution Detection with Deep Nearest Neighbors. CoRR (2022)
Yifei Ming, Ziyang Cai, Jiuxiang Gu, Yiyou Sun, Wei Li, Yixuan Li
Delving into Out-of-Distribution Detection with Vision-Language Representations. NeurIPS (2022)
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 Li, Ziwei Liu
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection. NeurIPS (2022)
Yifei Ming, Yiyou Sun, Ousmane Dia, Yixuan Li
CIDER: Exploiting Hyperspherical Embeddings for Out-of-Distribution Detection. CoRR (2022)
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 Li, Ziwei Liu
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection. CoRR (2022)
Yifei Ming, Ziyang Cai, Jiuxiang Gu, Yiyou Sun, Wei Li, Yixuan Li
Delving into Out-of-Distribution Detection with Vision-Language Representations. CoRR (2022)
Yiyou Sun, Yixuan Li
Open-world Contrastive Learning. CoRR (2022)
Yiyou Sun, Yifei Ming, Xiaojin Zhu, Yixuan Li
Out-of-Distribution Detection with Deep Nearest Neighbors. ICML (2022)
Yiyou Sun, Yixuan Li
DICE: Leveraging Sparsification for Out-of-Distribution Detection. ECCV (24) (2022)
Yiyou Sun, Chuan Guo, Yixuan Li
ReAct: Out-of-distribution Detection With Rectified Activations. CoRR (2021)
Yiyou Sun, Chuan Guo, Yixuan Li
ReAct: Out-of-distribution Detection With Rectified Activations. NeurIPS (2021)
Yiyou Sun, Yixuan Li
On the Effectiveness of Sparsification for Detecting the Deep Unknowns. CoRR (2021)
Yiyou Sun, Sathya N. Ravi, Vikas Singh
Adaptive Activation Thresholding: Dynamic Routing Type Behavior for Interpretability in Convolutional Neural Networks. ICCV (2019)
Stratos Idreos, Kostas Zoumpatianos, Subarna Chatterjee, Wilson Qin, Abdul Wasay, Brian Hentschel, Mike S. Kester, Niv Dayan, Demi Guo, Minseo Kang, Yiyou Sun
Learning Data Structure Alchemy. IEEE Data Eng. Bull. 42 (2) (2019)
Stratos Idreos, Kostas Zoumpatianos, Manos Athanassoulis, Niv Dayan, Brian Hentschel, Michael S. Kester, Demi Guo, Lukas M. Maas, Wilson Qin, Abdul Wasay, Yiyou Sun
The Periodic Table of Data Structures. IEEE Data Eng. Bull. 41 (3) (2018)
Bolei Zhou, Yiyou Sun, David Bau, Antonio Torralba
Interpretable Basis Decomposition for Visual Explanation. ECCV (8) (2018)
Bolei Zhou, Yiyou Sun, David Bau, Antonio Torralba
Revisiting the Importance of Individual Units in CNNs via Ablation. CoRR (2018)
Yiyou Sun, Tonghua Su, Zhiying Tu
Faster R-CNN based autonomous navigation for vehicles in warehouse. AIM (2017)