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2020 – today
- 2024
[c18]Soumya Suvra Ghosal, Yiyou Sun, Yixuan Li:
How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection? AAAI 2024: 19849-19857- [c17]Xuefeng Du, Yiyou Sun, Yixuan Li:
When and How Does In-Distribution Label Help Out-of-Distribution Detection? ICML 2024 - [c16]Yiyou Sun, Junjie Hu, Wei Cheng, Haifeng Chen:
DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton. ICML 2024 - [c15]Xiaogen Zhon, Yiyou Sun, Min Deng, Winnie Chiu Wing Chu, Qi Dou:
Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration. MICCAI (1) 2024: 57-67 - [c14]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: 3357-3370 - [i22]Yiyou Sun, Junjie Hu, Wei Cheng, Haifeng Chen:
Chatbot Meets Pipeline: Augment Large Language Model with Definite Finite Automaton. CoRR abs/2402.04411 (2024) - [i21]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 abs/2402.10189 (2024) - [i20]Xuefeng Du, Yiyou Sun, Yixuan Li:
When and How Does In-Distribution Label Help Out-of-Distribution Detection? CoRR abs/2405.18635 (2024) - [i19]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 abs/2406.05232 (2024) - [i18]Xiaogen Zhon, Yiyou Sun, Min Deng, Winnie Chiu Wing Chu, Qi Dou:
Robust Semi-supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration. CoRR abs/2408.07341 (2024) - [i17]Jonathan Light, Yue Wu, Yiyou Sun, Wenchao Yu, Yanchi Liu, Xujiang Zhao, Ziniu Hu, Haifeng Chen, Wei Cheng:
Scattered Forest Search: Smarter Code Space Exploration with LLMs. CoRR abs/2411.05010 (2024) - [i16]Qiwei Zhao, Xujiang Zhao, Yanchi Liu, Wei Cheng, Yiyou Sun, Mika Oishi, Takao Osaki, Katsushi Matsuda, Huaxiu Yao, Haifeng Chen:
SAUP: Situation Awareness Uncertainty Propagation on LLM Agent. CoRR abs/2412.01033 (2024) - 2023
- [j3]Yiyou Sun, Yixuan Li:
OpenCon: Open-world Contrastive Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c13]Yiyou Sun, Yaojie Liu, Xiaoming Liu, Yixuan Li, Wen-Sheng Chu:
Rethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment. CVPR 2023: 24563-24574 - [c12]Yifei Ming, Yiyou Sun, Ousmane Dia, Yixuan Li:
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection? ICLR 2023 - [c11]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: 33014-33043 - [c10]Xuefeng Du, Yiyou Sun, Jerry Zhu, Yixuan Li:
Dream the Impossible: Outlier Imagination with Diffusion Models. NeurIPS 2023 - [c9]Yiyou Sun, Zhenmei Shi, Yixuan Li:
A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning. NeurIPS 2023 - [i15]Yiyou Sun, Yaojie Liu, Xiaoming Liu, Yixuan Li, Wen-Sheng Chu:
Rethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment. CoRR abs/2303.13662 (2023) - [i14]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 abs/2306.09301 (2023) - [i13]Yiyou Sun, Zhenmei Shi, Yingyu Liang, Yixuan Li:
When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis. CoRR abs/2308.05017 (2023) - [i12]Xuefeng Du, Yiyou Sun, Xiaojin Zhu, Yixuan Li:
Dream the Impossible: Outlier Imagination with Diffusion Models. CoRR abs/2309.13415 (2023) - [i11]Yiyou Sun:
Detecting and Learning Out-of-Distribution Data in the Open world: Algorithm and Theory. CoRR abs/2310.06221 (2023) - [i10]Yiyou Sun, Zhenmei Shi, Yixuan Li:
A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning. CoRR abs/2311.03524 (2023) - [i9]Soumya Suvra Ghosal, Yiyou Sun, Yixuan Li:
How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection? CoRR abs/2312.14452 (2023) - 2022
- [c8]Yiyou Sun, Yixuan Li:
DICE: Leveraging Sparsification for Out-of-Distribution Detection. ECCV (24) 2022: 691-708 - [c7]Yiyou Sun, Yifei Ming, Xiaojin Zhu, Yixuan Li:
Out-of-Distribution Detection with Deep Nearest Neighbors. ICML 2022: 20827-20840 - [c6]Yifei Ming, Ziyang Cai, Jiuxiang Gu, Yiyou Sun, Wei Li, Yixuan Li:
Delving into Out-of-Distribution Detection with Vision-Language Representations. NeurIPS 2022 - [c5]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 - [i8]Yifei Ming, Yiyou Sun, Ousmane Dia, Yixuan Li:
CIDER: Exploiting Hyperspherical Embeddings for Out-of-Distribution Detection. CoRR abs/2203.04450 (2022) - [i7]Yiyou Sun, Yifei Ming, Xiaojin Zhu, Yixuan Li:
Out-of-distribution Detection with Deep Nearest Neighbors. CoRR abs/2204.06507 (2022) - [i6]Yiyou Sun, Yixuan Li:
Open-world Contrastive Learning. CoRR abs/2208.02764 (2022) - [i5]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 abs/2210.07242 (2022) - [i4]Yifei Ming, Ziyang Cai, Jiuxiang Gu, Yiyou Sun, Wei Li, Yixuan Li:
Delving into Out-of-Distribution Detection with Vision-Language Representations. CoRR abs/2211.13445 (2022) - 2021
- [c4]Yiyou Sun, Chuan Guo, Yixuan Li:
ReAct: Out-of-distribution Detection With Rectified Activations. NeurIPS 2021: 144-157 - [i3]Yiyou Sun, Yixuan Li:
On the Effectiveness of Sparsification for Detecting the Deep Unknowns. CoRR abs/2111.09805 (2021) - [i2]Yiyou Sun, Chuan Guo, Yixuan Li:
ReAct: Out-of-distribution Detection With Rectified Activations. CoRR abs/2111.12797 (2021)
2010 – 2019
- 2019
- [j2]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): 47-58 (2019) - [c3]Yiyou Sun, Sathya N. Ravi, Vikas Singh:
Adaptive Activation Thresholding: Dynamic Routing Type Behavior for Interpretability in Convolutional Neural Networks. ICCV 2019: 4937-4946 - 2018
- [j1]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): 64-75 (2018) - [c2]Bolei Zhou, Yiyou Sun, David Bau, Antonio Torralba:
Interpretable Basis Decomposition for Visual Explanation. ECCV (8) 2018: 122-138 - [i1]Bolei Zhou, Yiyou Sun, David Bau, Antonio Torralba:
Revisiting the Importance of Individual Units in CNNs via Ablation. CoRR abs/1806.02891 (2018) - 2017
- [c1]Yiyou Sun, Tonghua Su, Zhiying Tu:
Faster R-CNN based autonomous navigation for vehicles in warehouse. AIM 2017: 1639-1644
Coauthor Index
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