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Xuefeng Du
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2020 – today
- 2024
- [c25]Xuefeng Du, Zhen Fang, Ilias Diakonikolas, Yixuan Li:
How Does Unlabeled Data Provably Help Out-of-Distribution Detection? ICLR 2024 - [c24]Xuefeng Du, Yiyou Sun, Yixuan Li:
When and How Does In-Distribution Label Help Out-of-Distribution Detection? ICML 2024 - [i23]Xuefeng Du, Zhen Fang, Ilias Diakonikolas, Yixuan Li:
How Does Unlabeled Data Provably Help Out-of-Distribution Detection? CoRR abs/2402.03502 (2024) - [i22]Sheriff Issaka, Zhaoyi Zhang, Mihir Heda, Keyi Wang, Yinka Ajibola, Ryan DeMar, Xuefeng Du:
The Ghanaian NLP Landscape: A First Look. CoRR abs/2405.06818 (2024) - [i21]Xuefeng Du, Yiyou Sun, Yixuan Li:
When and How Does In-Distribution Label Help Out-of-Distribution Detection? CoRR abs/2405.18635 (2024) - [i20]Haoyue Bai, Xuefeng Du, Katie Rainey, Shibin Parameswaran, Yixuan Li:
Out-of-Distribution Learning with Human Feedback. CoRR abs/2408.07772 (2024) - [i19]Xuefeng Du, Chaowei Xiao, Yixuan Li:
HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection. CoRR abs/2409.17504 (2024) - [i18]Xuefeng Du, Reshmi Ghosh, Robert Sim, Ahmed Salem, Vitor Carvalho, Emily Lawton, Yixuan Li, Jack W. Stokes:
VLMGuard: Defending VLMs against Malicious Prompts via Unlabeled Data. CoRR abs/2410.00296 (2024) - [i17]Min-Hsuan Yeh, Leitian Tao, Jeffrey Wang, Xuefeng Du, Yixuan Li:
How Reliable Is Human Feedback For Aligning Large Language Models? CoRR abs/2410.01957 (2024) - [i16]Hyeong Kyu Choi, Xuefeng Du, Yixuan Li:
Safety-Aware Fine-Tuning of Large Language Models. CoRR abs/2410.10014 (2024) - 2023
- [j10]Fengqi Li
, Hui Xu, Qingqing Song, Lupeng Zhang
BLMA: Editable Blockchain-Based Lightweight Massive IIoT Device Authentication Protocol. IEEE Internet Things J. 10(24): 21633-21646 (2023) - [j9]Xuefeng Du, Tian Bian, Yu Rong, Bo Han, Tongliang Liu, Tingyang Xu, Wenbing Huang, Yixuan Li, Junzhou Huang:
Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions. Trans. Mach. Learn. Res. 2023 (2023) - [c23]Leitian Tao, Xuefeng Du, Jerry Zhu, Yixuan Li:
Non-parametric Outlier Synthesis. ICLR 2023 - [c22]Haoyue Bai, Gregory Canal, Xuefeng Du, Jeongyeol Kwon, Robert D. Nowak, Yixuan Li:
Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection. ICML 2023: 1454-1471 - [c21]Xuefeng Du, Yiyou Sun, Jerry Zhu, Yixuan Li:
Dream the Impossible: Outlier Imagination with Diffusion Models. NeurIPS 2023 - [i15]Leitian Tao, Xuefeng Du, Xiaojin Zhu, Yixuan Li:
Non-Parametric Outlier Synthesis. CoRR abs/2303.02966 (2023) - [i14]Haoyue Bai, Gregory Canal, Xuefeng Du, Jeongyeol Kwon, Robert D. Nowak, Yixuan Li:
Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection. CoRR abs/2306.09158 (2023) - [i13]Jingyang Zhang, Jingkang Yang, Pengyun Wang, Haoqi Wang, Yueqian Lin, Haoran Zhang, Yiyou Sun, Xuefeng Du, Kaiyang Zhou, Wayne Zhang
OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection. CoRR abs/2306.09301 (2023) - [i12]Xuefeng Du, Yiyou Sun, Xiaojin Zhu, Yixuan Li:
Dream the Impossible: Outlier Imagination with Diffusion Models. CoRR abs/2309.13415 (2023) - 2022
- [c20]Pengtao Xie, Xuefeng Du:
Performance-Aware Mutual Knowledge Distillation for Improving Neural Architecture Search. CVPR 2022: 11912-11922 - [c19]Xuefeng Du, Xin Wang, Gabriel Gozum, Yixuan Li:
Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild. CVPR 2022: 13668-13678 - [c18]Xuefeng Du, Zhaoning Wang, Mu Cai
VOS: Learning What You Don't Know by Virtual Outlier Synthesis. ICLR 2022 - [c17]Xuefeng Du, Gabriel Gozum, Yifei Ming, Yixuan Li:
SIREN: Shaping Representations for Detecting Out-of-Distribution Objects. NeurIPS 2022 - [c16]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 - [i11]Xuefeng Du, Zhaoning Wang, Mu Cai, Yixuan Li:
VOS: Learning What You Don't Know by Virtual Outlier Synthesis. CoRR abs/2202.01197 (2022) - [i10]Xuefeng Du, Xin Wang, Gabriel Gozum, Yixuan Li:
Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild. CoRR abs/2203.03800 (2022) - [i9]Jingkang Yang, Pengyun Wang, Dejian Zou, Zitang Zhou, Kunyuan Ding, Wenxuan Peng, Haoqi Wang
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection. CoRR abs/2210.07242 (2022) - 2021
- [j8]Xuefeng Du, Haohan Wang, Zhenxi Zhu, Xiangrui Zeng, Yi-Wei Chang
Active learning to classify macromolecular structures in situ for less supervision in cryo-electron tomography. Bioinform. 37(16): 2340-2346 (2021) - [j7]Huikai Shao
A deep biometric hash learning framework for three advanced hand-based biometrics. IET Biom. 10(3): 246-259 (2021) - [j6]Xuefeng Du
Cross-Domain Palmprint Recognition via Regularized Adversarial Domain Adaptive Hashing. IEEE Trans. Circuits Syst. Video Technol. 31(6): 2372-2385 (2021) - [j5]Huikai Shao
Deep Distillation Hashing for Unconstrained Palmprint Recognition. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [j4]Huikai Shao
Few-Shot Learning for Palmprint Recognition via Meta-Siamese Network. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [c15]Xuefeng Du, Chenhan Jiang, Hang Xu, Gengwei Zhang, Zhenguo Li:
How to Save your Annotation Cost for Panoptic Segmentation? AAAI 2021: 1282-1290 - [c14]Xuefeng Du, Jingfeng Zhang, Bo Han, Tongliang Liu, Yu Rong, Gang Niu, Junzhou Huang, Masashi Sugiyama:
Learning Diverse-Structured Networks for Adversarial Robustness. ICML 2021: 2880-2891 - [i8]Xuefeng Du, Jingfeng Zhang, Bo Han, Tongliang Liu, Yu Rong, Gang Niu, Junzhou Huang, Masashi Sugiyama:
Learning Diverse-Structured Networks for Adversarial Robustness. CoRR abs/2102.01886 (2021) - [i7]Xuefeng Du, Haohan Wang, Zhenxi Zhu, Xiangrui Zeng, Yi-Wei Chang, Jing Zhang, Eric Poe Xing, Min Xu:
Active Learning to Classify Macromolecular Structures in situ for Less Supervision in Cryo-Electron Tomography. CoRR abs/2102.12040 (2021) - [i6]Xuefeng Du, Tian Bian, Yu Rong, Bo Han, Tongliang Liu, Tingyang Xu, Wenbing Huang, Junzhou Huang:
PI-GNN: A Novel Perspective on Semi-Supervised Node Classification against Noisy Labels. CoRR abs/2106.07451 (2021) - 2020
- [j3]Huikai Shao, Dexing Zhong, Xuefeng Du:
Effective deep ensemble hashing for open-set palmprint recognition. J. Electronic Imaging 29(1): 013018 (2020) - [c13]Lin Lan, Pinghui Wang, Xuefeng Du, Kaikai Song, Jing Tao, Xiaohong Guan:
Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding. NeurIPS 2020 - [i5]Huikai Shao, Dexing Zhong, Xuefeng Du:
Towards Efficient Unconstrained Palmprint Recognition via Deep Distillation Hashing. CoRR abs/2004.03303 (2020) - [i4]Lin Lan, Pinghui Wang, Xuefeng Du, Kaikai Song, Jing Tao, Xiaohong Guan:
Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding. CoRR abs/2007.02914 (2020) - [i3]Xuefeng Du, Pengtao Xie:
Learning by Passing Tests, with Application to Neural Architecture Search. CoRR abs/2011.15102 (2020) - [i2]Pengtao Xie, Xuefeng Du, Hao Ban:
Skillearn: Machine Learning Inspired by Humans' Learning Skills. CoRR abs/2012.04863 (2020) - [i1]Xuefeng Du, Pengtao Xie:
Small-Group Learning, with Application to Neural Architecture Search. CoRR abs/2012.12502 (2020)
2010 – 2019
- 2019
- [j2]Dexing Zhong
Decade progress of palmprint recognition: A brief survey. Neurocomputing 328: 16-28 (2019) - [j1]Dexing Zhong
A Hand-Based Multi-Biometrics via Deep Hashing Network and Biometric Graph Matching. IEEE Trans. Inf. Forensics Secur. 14(12): 3140-3150 (2019) - [c12]Ilja Gubins, Gijs van der Schot, Remco C. Veltkamp, Friedrich Förster
Classification in Cryo-Electron Tomograms. 3DOR@Eurographics 2019: 49-54 - [c11]Siyuan Liu, Xuefeng Du, Rong Xi, Fuya Xu, Xiangrui Zeng, Bo Zhou, Min Xu:
Semi-supervised Macromolecule Structural Classification in Cellular Electron Cryo-Tomograms using 3D Autoencoding Classifier. BMVC 2019: 30 - [c10]Xuefeng Du, Xiangrui Zeng, Bo Zhou, Alex Singh, Min Xu:
Open-set Recognition of Unseen Macromolecules in Cellular Electron Cryo-Tomograms by Soft Large Margin Centralized Cosine Loss. BMVC 2019: 148 - [c9]Huikai Shao, Dexing Zhong, Xuefeng Du:
Efficient Deep Palmprint Recognition via Distilled Hashing Coding. CVPR Workshops 2019: 714-723 - [c8]Huikai Shao, Dexing Zhong, Xuefeng Du:
Cross-Domain Palmprint Recognition Based on Transfer Convolutional Autoencoder. ICIP 2019: 1153-1157 - [c7]Xuefeng Du, Dexing Zhong, Huikai Shao:
Continual Palmprint Recognition Without Forgetting. ICIP 2019: 1158-1162 - [c6]Xuefeng Du, Dexing Zhong, Huikai Shao:
Building an Active Palmprint Recognition System. ICIP 2019: 1685-1689 - [c5]Xuefeng Du, Dexing Zhong, Pengna Li:
Low-Shot Palmprint Recognition Based on Meta-Siamese Network. ICME 2019: 79-84 - 2018
- [c4]Dexing Zhong, Yuan Yang, Xuefeng Du:
Palmprint Recognition Using Siamese Network. CCBR 2018: 48-55 - [c3]Dexing Zhong, Shuming Liu, Wenting Wang, Xuefeng Du:
Palm Vein Recognition with Deep Hashing Network. PRCV (1) 2018: 38-49 - 2014
- [c2]Xuefeng Du, Xiaodong Yan:
Tracking and Analysis of Hot Words and Posts for University Campus. ISCTCS 2014: 137-143
2000 – 2009
- 2006
- [c1]Wenju Zhang, Xuefeng Du, Fanyuan Ma, Jun Zhang, Jianhua Shen:
DDGrid: Harness the Full Power of Supercomputing Systems. GCC Workshops 2006: 1-4
Coauthor Index
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last updated on 2024-12-16 22:24 CET by the dblp team
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