Yi-Xuan Li

Most-cited papers

Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
Shiyu Liang, Yi-Xuan Li, R. Srikant
2017International Conference on Learning Representations2,660 citations
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Energy-based Out-of-distribution Detection
Weitang Liu, Xiaoyun Wang, John Douglas Owens, Yi-Xuan Li
2020Neural Information Processing Systems2,279 citations
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Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang, Kai-Yang Zhou, Yi-Xuan Li, Zi-Wei Liu
2021International Journal of Computer Vision1,583 citations Open access
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Exploring the Limits of Weakly Supervised Pretraining
D. Mahajan, Ross B. Girshick, Vignesh Ramanathan, Kaiming He +4 more
2018European Conference on Computer Vision1,496 citations Open access
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Snapshot Ensembles: Train 1, get M for free
Gao Huang, Yi-Xuan Li, Geoff Pleiss, Zhuang Liu +2 more
2017International Conference on Learning Representations1,130 citations
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Out-of-distribution Detection with Deep Nearest Neighbors
Yiyou Sun, Yifei Ming, Xiao-Jin Zhu, Yi-Xuan Li
2022International Conference on Machine Learning969 citations Open access
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ReAct: Out-of-distribution Detection With Rectified Activations
Yiyou Sun, Chuan Guo, Yi-Xuan Li
2021Neural Information Processing Systems742 citations
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On the Importance of Gradients for Detecting Distributional Shifts in the Wild
Rui Huang, Andrew Geng, Yi-Xuan Li
2021Neural Information Processing Systems515 citations
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Stacked Generative Adversarial Networks
Xun Huang, Yi-Xuan Li, Omid Poursaeed, J. Hopcroft +1 more
2016Computer Vision and Pattern Recognition472 citations Open access
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VOS: Learning What You Don't Know by Virtual Outlier Synthesis
Xuefeng Du, Zhaoning Wang, Mu Cai, Yi-Xuan Li
2022International Conference on Learning Representations468 citations
Semantic Scholar
Convergent Learning: Do different neural networks learn the same representations?
Yi-Xuan Li, J. Yosinski, J. Clune, Hod Lipson +1 more
2015FE@NIPS454 citations
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Mitigating Neural Network Overconfidence with Logit Normalization
Hongxin Wei, Renchunzi Xie, Hao Cheng, Lei Feng +2 more
2022International Conference on Machine Learning441 citations Open access
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OpenOOD: Benchmarking Generalized Out-of-Distribution Detection
Jingkang Yang, Pengyun Wang, Dejian Zou, Zitang Zhou +12 more
2022Neural Information Processing Systems421 citations Open access
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MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space
Rui Huang, Yi-Xuan Li
2021Computer Vision and Pattern Recognition348 citations Open access
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Delving into Out-of-Distribution Detection with Vision-Language Representations
Yifei Ming, Ziyan Cai, Jiuxiang Gu, Yiyou Sun +2 more
2022Neural Information Processing Systems323 citations Open access
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A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges
Mohammadreza Salehi, Hossein Mirzaei, Dan Hendrycks, Yi-Xuan Li +2 more
2021Trans. Mach. Learn. Res.264 citations
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OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection
Jingyang Zhang, Jingkang Yang, Pengyun Wang, Haoqi Wang +10 more
2023J. Data-centric Mach. Learn. Res.242 citations Open access
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DICE: Leveraging Sparsification for Out-of-Distribution Detection
Yiyou Sun, Yi-Xuan Li
2021European Conference on Computer Vision240 citations Open access
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Is Out-of-Distribution Detection Learnable?
Zhen Fang, Yi-Xuan Li, Jie Lu, Jia-Hua Dong +2 more
2022Neural Information Processing Systems189 citations Open access
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PiCO: Contrastive Label Disambiguation for Partial Label Learning
Hao-Bo Wang, Rui Xiao, Yi-Xuan Li, Lei Feng +3 more
2022International Conference on Learning Representations189 citations
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Non-Parametric Outlier Synthesis
Leitian Tao, Xuefeng Du, Xiao-Jin Zhu, Yi-Xuan Li
2023International Conference on Learning Representations180 citations Open access
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ATOM: Robustifying Out-of-Distribution Detection Using Outlier Mining
Jiefeng Chen, Yi-Xuan Li, Xi Wu, Ying-Yu Liang +1 more
2020ECML/PKDD180 citations Open access
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How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?
Yifei Ming, Yiyou Sun, Ousmane Amadou Dia, Yi-Xuan Li
2022International Conference on Learning Representations177 citations
Semantic Scholar
Can multi-label classification networks know what they don't know?
Haoran Wang, Weitang Liu, Alex Bocchieri, Yi-Xuan Li
2021Neural Information Processing Systems169 citations
Semantic Scholar
POEM: Out-of-Distribution Detection with Posterior Sampling
Yifei Ming, Ying Fan, Yi-Xuan Li
2022International Conference on Machine Learning161 citations Open access
Semantic Scholar
MultiSports: A Multi-Person Video Dataset of Spatio-Temporally Localized Sports Actions
Yi-Xuan Li, Lei Chen, Runyu He, Zhenzhi Wang +2 more
2021IEEE International Conference on Computer Vision159 citations Open access
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Learning Implicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning
Meng Zhou, Ken Ziyu Liu, Pengwei Sui, Yi-Xuan Li +1 more
2020Neural Information Processing Systems147 citations
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Uncovering the Small Community Structure in Large Networks: A Local Spectral Approach
Yi-Xuan Li, Kun He, D. Bindel, J. Hopcroft
2015The Web Conference143 citations
Semantic Scholar
MOOD: Multi-level Out-of-distribution Detection
Ziqian Lin, Sreya . Dutta Roy, Yi-Xuan Li
2021Computer Vision and Pattern Recognition142 citations Open access
Semantic Scholar
Actions as Moving Points
Yi-Xuan Li, Zixu Wang, Limin Wang, Gangshan Wu
2020European Conference on Computer Vision139 citations Open access
Semantic Scholar
Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving
Mu Cai, Hong Zhang, Huijuan Huang, Qichuan Geng +2 more
2020IEEE International Conference on Computer Vision131 citations Open access
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Principled Detection of Out-of-Distribution Examples in Neural Networks
Shiyu Liang, Yi-Xuan Li, R. Srikant
2017arXiv.org128 citations
Semantic Scholar
Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild
Xuefeng Du, Xin Wang, Gabriel Gozum, Yi-Xuan Li
2022Computer Vision and Pattern Recognition125 citations Open access
Semantic Scholar
Training OOD Detectors in their Natural Habitats
Julian Katz-Samuels, Julia B. Nakhleh, R. Nowak, Yi-Xuan Li
2022International Conference on Machine Learning125 citations
Semantic Scholar
Rethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment
Yiyou Sun, Yaojie Liu, Xiaoming Liu, Yi-Xuan Li +1 more
2023Computer Vision and Pattern Recognition115 citations Open access
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Dream the Impossible: Outlier Imagination with Diffusion Models
Xuefeng Du, Yiyou Sun, Xiao-Jin Zhu, Yi-Xuan Li
2023Neural Information Processing Systems114 citations Open access
Semantic Scholar
Provable Guarantees for Understanding Out-of-distribution Detection
Peyman Morteza, Yi-Xuan Li
2021AAAI Conference on Artificial Intelligence112 citations Open access
Semantic Scholar
SIREN: Shaping Representations for Detecting Out-of-Distribution Objects
Xuefeng Du, Gabriel Gozum, Yifei Ming, Yi-Xuan Li
2022Neural Information Processing Systems106 citations
Semantic Scholar
Robust Out-of-distribution Detection for Neural Networks
Jiefeng Chen, Yi-Xuan Li, Xi Wu, Ying-Yu Liang +1 more
2020101 citations
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On the Impact of Spurious Correlation for Out-of-distribution Detection
Yifei Ming, Hang Yin, Yi-Xuan Li
2021AAAI Conference on Artificial Intelligence96 citations Open access
Semantic Scholar
Local Spectral Clustering for Overlapping Community Detection
Yi-Xuan Li, Kun He, Kyle Kloster, D. Bindel +1 more
2018ACM Transactions on Knowledge Discovery from Data95 citations
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Understanding the Loss Surface of Neural Networks for Binary Classification
Shiyu Liang, Ruoyu Sun, Yi-Xuan Li, R. Srikant
2018International Conference on Machine Learning92 citations
Semantic Scholar
The Lifecycle and Cascade of WeChat Social Messaging Groups
Jie-Zhong Qiu, Yi-Xuan Li, Jie Tang, Zheng Lu +4 more
2015The Web Conference84 citations Open access
Semantic Scholar
Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection
Hao-Yue Bai, Gregory H. Canal, Xuefeng Du, Jeongyeol Kwon +2 more
2023International Conference on Machine Learning77 citations Open access
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Detecting Overlapping Communities from Local Spectral Subspaces
Kun He, Yiwei Sun, D. Bindel, J. Hopcroft +1 more
20152015 IEEE International Conference on Data Mining75 citations Open access
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Mitigating Memorization of Noisy Labels by Clipping the Model Prediction
Hongxin Wei, Hui-Ping Zhuang, Renchunzi Xie, Lei Feng +3 more
2022International Conference on Machine Learning67 citations
Semantic Scholar
Deep Manifold Traversal: Changing Labels with Convolutional Features
J. Gardner, P. Upchurch, Matt J. Kusner, Yi-Xuan Li +3 more
2015arXiv.org67 citations
Semantic Scholar
Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search
Abhimanyu Dubey, L. van der Maaten, Zeki Yalniz, Yi-Xuan Li +1 more
2019Computer Vision and Pattern Recognition66 citations Open access
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How Does Fine-Tuning Impact Out-of-Distribution Detection for Vision-Language Models?
Yifei Ming, Yi-Xuan Li
2023International Journal of Computer Vision64 citations Open access
Semantic Scholar
OpenCon: Open-world Contrastive Learning
Yiyou Sun, Yi-Xuan Li
2022Trans. Mach. Learn. Res.64 citations
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