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Yufeng Li
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Yufeng Li 0001 — Shenyang Aerospace University, College of Electronic Information Engineering, Shenyang, China
- Yufeng Li 0002 — Shanghai University, School of Computer Engineering and Science, Shanghai, China (and 1 more)
- Yufeng Li 0003 — University of Alberta, Department of Electrical and Computer Engineering, Edmonton, Canada
- Yufeng Li 0004 — Guizhou University, College of Computer Science and Technology, State Key Laboratory of Public Big Data, Guiyang, China
- Yufeng Li 0005 — Fuzhou University, School of Mechanical Engineering and Automation, Fuzhou, China
- Yufeng Li 0006 — Northwestern Polytechnical University, School of Marine Science and Technology, Xi'an, China
- Yufeng Li 0007 — Chongqing University, School of Mechanical Engineering, State Key Laboratory of Mechanical Transmission, Chongqing, China
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2020 – today
- 2024
- [j35]Zhi Zhou, Yi-Xuan Jin, Yu-Feng Li:
Rts: learning robustly from time series data with noisy label. Frontiers Comput. Sci. 18(6): 186332 (2024) - [j34]Yufeng Li, Wenqi Liu, Qi Liu, Xiangyu Zheng, Ke Sun, Chengjian Huang:
Complying with ISO 26262 and ISO/SAE 21434: A Safety and Security Co-Analysis Method for Intelligent Connected Vehicle. Sensors 24(6): 1848 (2024) - [j33]Weikai Yang, Yukai Guo, Jing Wu, Zheng Wang, Lan-Zhe Guo, Yu-Feng Li, Shixia Liu:
Interactive Reweighting for Mitigating Label Quality Issues. IEEE Trans. Vis. Comput. Graph. 30(3): 1837-1852 (2024) - [c82]Xiaowen Yang, Jie-Jing Shao, Wei-Wei Tu, Yu-Feng Li, Wang-Zhou Dai, Zhi-Hua Zhou:
Safe Abductive Learning in the Presence of Inaccurate Rules. AAAI 2024: 16361-16369 - [c81]Dingchu Zhang, Zhi Zhou, Yu-Feng Li:
Robust Test-Time Adaptation for Zero-Shot Prompt Tuning. AAAI 2024: 16714-16722 - [c80]Heng-Kai Zhang, Yi-Ge Zhang, Zhi Zhou, Yu-Feng Li:
HONGAT: Graph Attention Networks in the Presence of High-Order Neighbors. AAAI 2024: 16750-16758 - [i22]Chaojie Ji, Yufeng Li, Yiyi Liao:
REFRAME: Reflective Surface Real-Time Rendering for Mobile Devices. CoRR abs/2403.16481 (2024) - 2023
- [j32]Jonathan Chan, Yufeng Li, William J. Bowman:
Is sized typing for Coq practical? J. Funct. Program. 33: e1 (2023) - [j31]Yufeng Li, Keyi Xu, Yumei Ding, Zhiwei Sun, Ting Ke:
A parallel CF tree clustering algorithm for mixed-type datasets. J. Intell. Fuzzy Syst. 44(5): 8309-8320 (2023) - [c79]Yufeng Li, Xu Yan, Mingxuan Xiao, Weimin Wang, Fei Zhang:
Investigation of Creating Accessibility Linked Data Based on Publicly Available Accessibility Datasets. ICCNS 2023: 77-81 - [c78]Yufeng Li, Meng Han, Jiahui Yu, Changting Lin, Zhaojie Ju:
Adversarial Attacks on Skeleton-Based Sign Language Recognition. ICIRA (1) 2023: 33-43 - [c77]Lan-Zhe Guo, Zhi Zhou, Yu-Feng Li, Zhi-Hua Zhou:
Identifying Useful Learnwares for Heterogeneous Label Spaces. ICML 2023: 12122-12131 - [c76]Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Jie-Jing Shao, Yuke Xiang, Yu-Feng Li:
Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions. ICML 2023: 14886-14901 - [c75]Zhi Zhou, Lan-Zhe Guo, Lin-Han Jia, Dingchu Zhang, Yu-Feng Li:
ODS: Test-Time Adaptation in the Presence of Open-World Data Shift. ICML 2023: 42574-42588 - [c74]Yingying Su, Chenhong Cao, Jiangtao Li, Yufeng Li:
EAVA: Adaptive and Fast Edge-assisted Video Analytics On Mobile Device. ICPADS 2023: 2251-2260 - [c73]Jiang-Xin Shi, Tong Wei, Yuke Xiang, Yu-Feng Li:
How Re-sampling Helps for Long-Tail Learning? NeurIPS 2023 - [c72]Guangba Yu, Pengfei Chen, Yufeng Li, Hongyang Chen, Xiaoyun Li, Zibin Zheng:
Nezha: Interpretable Fine-Grained Root Causes Analysis for Microservices on Multi-modal Observability Data. ESEC/SIGSOFT FSE 2023: 553-565 - [i21]Jiang-Xin Shi, Tong Wei, Zhi Zhou, Xin-Yan Han, Jie-Jing Shao, Yu-Feng Li:
Parameter-Efficient Long-Tailed Recognition. CoRR abs/2309.10019 (2023) - [i20]Jie-Jing Shao, Jiang-Xin Shi, Xiaowen Yang, Lan-Zhe Guo, Yu-Feng Li:
Investigating the Limitation of CLIP Models: The Worst-Performing Categories. CoRR abs/2310.03324 (2023) - [i19]Chris Kapulkin, Yufeng Li:
Extensional concepts in intensional type theory, revisited. CoRR abs/2310.05706 (2023) - [i18]Jiang-Xin Shi, Tong Wei, Yuke Xiang, Yu-Feng Li:
How Re-sampling Helps for Long-Tail Learning? CoRR abs/2310.18236 (2023) - [i17]Weikai Yang, Yukai Guo, Jing Wu, Zheng Wang, Lan-Zhe Guo, Yu-Feng Li, Shixia Liu:
Interactive Reweighting for Mitigating Label Quality Issues. CoRR abs/2312.05067 (2023) - 2022
- [j30]Tong Wei, Hai Wang, Weiwei Tu, Yufeng Li:
Robust model selection for positive and unlabeled learning with constraints. Sci. China Inf. Sci. 65(11) (2022) - [j29]Enhong Chen, Yufeng Li, Quan Zou:
Preface to the Special Issue on Robust Machine Learning for Open Scenarios. Int. J. Softw. Informatics 12(2): 153-156 (2022) - [j28]Yufeng Li, Gang Wang:
Multistatic Localization With Unknown Transmitter Position and Signal Propagation Speed. IEEE Signal Process. Lett. 29: 1427-1431 (2022) - [j27]Fugang Zhang, Haibin Yin, Yufeng Li:
Accurate Analytical Models of Armature Reaction Field for Multi-Segment Primaries Ironless PMLSM Based on Subdomain Method. Symmetry 14(10): 2091 (2022) - [c71]Yufeng Li, Lin Shang, Peng Pan:
Heuristic Optimization based Abnormal Posture Detection Algorithm. ICCE-TW 2022: 95-96 - [c70]Lan-Zhe Guo, Yu-Feng Li:
Class-Imbalanced Semi-Supervised Learning with Adaptive Thresholding. ICML 2022: 8082-8094 - [c69]Yufeng Li, Guangba Yu, Pengfei Chen, Chuanfu Zhang, Zibin Zheng:
MicroSketch: Lightweight and Adaptive Sketch Based Performance Issue Detection and Localization in Microservice Systems. ICSOC 2022: 219-236 - [c68]Jie-Jing Shao, Yunlu Xu, Zhanzhan Cheng, Yu-Feng Li:
Active Model Adaptation Under Unknown Shift. KDD 2022: 1558-1566 - [c67]Lan-Zhe Guo, Yi-Ge Zhang, Zhi-Fan Wu, Jie-Jing Shao, Yu-Feng Li:
Robust Semi-Supervised Learning when Not All Classes have Labels. NeurIPS 2022 - [c66]Jie-Jing Shao, Lan-Zhe Guo, Xiaowen Yang, Yu-Feng Li:
LOG: Active Model Adaptation for Label-Efficient OOD Generalization. NeurIPS 2022 - [c65]Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yu-Feng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang:
USB: A Unified Semi-supervised Learning Benchmark for Classification. NeurIPS 2022 - [c64]Tong Wei, Jiang-Xin Shi, Yu-Feng Li, Min-Ling Zhang:
Prototypical Classifier for Robust Class-Imbalanced Learning. PAKDD (2) 2022: 44-57 - [i16]Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Yu-Feng Li:
LAMDA-SSL: Semi-Supervised Learning in Python. CoRR abs/2208.04610 (2022) - [i15]Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yu-Feng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang:
USB: A Unified Semi-supervised Learning Benchmark. CoRR abs/2208.07204 (2022) - [i14]Tong Wei, Zhen Mao, Jiang-Xin Shi, Yu-Feng Li, Min-Ling Zhang:
A Survey on Extreme Multi-label Learning. CoRR abs/2210.03968 (2022) - 2021
- [j26]Yufeng Li, Haitian Jiang, Jiyong Lu, Xiaozhong Li, Zhiwei Sun, Min Li:
MR-BIRCH: A scalable MapReduce-based BIRCH clustering algorithm. J. Intell. Fuzzy Syst. 40(3): 5295-5305 (2021) - [j25]Yufeng Li, Juanjuan Meng, Changcheng Song, Kai Zheng:
Information Avoidance and Medical Screening: A Field Experiment in China. Manag. Sci. 67(7): 4252-4272 (2021) - [j24]Yu-Feng Li, Lan-Zhe Guo, Zhi-Hua Zhou:
Towards Safe Weakly Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. 43(1): 334-346 (2021) - [j23]Yu-Feng Li, De-Ming Liang:
Lightweight Label Propagation for Large-Scale Network Data. IEEE Trans. Knowl. Data Eng. 33(5): 2071-2082 (2021) - [j22]Changjian Chen, Zhaowei Wang, Jing Wu, Xiting Wang, Lan-Zhe Guo, Yu-Feng Li, Shixia Liu:
Interactive Graph Construction for Graph-Based Semi-Supervised Learning. IEEE Trans. Vis. Comput. Graph. 27(9): 3701-3716 (2021) - [c63]Tao Han, Wei-Wei Tu, Yu-Feng Li:
Explanation Consistency Training: Facilitating Consistency-Based Semi-Supervised Learning with Interpretability. AAAI 2021: 7639-7646 - [c62]Yufeng Li:
Modeling and Simulation of Respiratory System in Design of Mechanical Ventilators. CCTA 2021: 727 - [c61]Zhi-Fan Wu, Tong Wei, Jianwen Jiang, Chaojie Mao, Mingqian Tang, Yu-Feng Li:
NGC: A Unified Framework for Learning with Open-World Noisy Data. ICCV 2021: 62-71 - [c60]Yi Xu, Lei Shang, Jinxing Ye, Qi Qian, Yu-Feng Li, Baigui Sun, Hao Li, Rong Jin:
Dash: Semi-Supervised Learning with Dynamic Thresholding. ICML 2021: 11525-11536 - [c59]Le-Wen Cai, Wang-Zhou Dai, Yu-Xuan Huang, Yu-Feng Li, Stephen H. Muggleton, Yuan Jiang:
Abductive Learning with Ground Knowledge Base. IJCAI 2021: 1815-1821 - [c58]Jie-Jing Shao, Zhanzhan Cheng, Yu-Feng Li, Shiliang Pu:
Towards Robust Model Reuse in the Presence of Latent Domains. IJCAI 2021: 2957-2963 - [c57]Yu-Feng Li:
Safe Weakly Supervised Learning. IJCAI 2021: 4951-4955 - [c56]Lan-Zhe Guo, Zhi Zhou, Jie-Jing Shao, Qi Zhang, Feng Kuang, Gao-Le Li, Zhang-Xun Liu, Guobin Wu, Nan Ma, Qun (Tracy) Li, Yu-Feng Li:
Learning from Imbalanced and Incomplete Supervision with Its Application to Ride-Sharing Liability Judgment. KDD 2021: 487-495 - [c55]Tong Wei, Jiang-Xin Shi, Yu-Feng Li:
Probabilistic Label Tree for Streaming Multi-Label Learning. KDD 2021: 1801-1811 - [c54]Tong Wei, Wei-Wei Tu, Yu-Feng Li, Guo-Ping Yang:
Towards Robust Prediction on Tail Labels. KDD 2021: 1812-1820 - [c53]Zhi Zhou, Lan-Zhe Guo, Zhanzhan Cheng, Yu-Feng Li, Shiliang Pu:
STEP: Out-of-Distribution Detection in the Presence of Limited In-Distribution Labeled Data. NeurIPS 2021: 29168-29180 - [i13]Zhi-Fan Wu, Tong Wei, Jianwen Jiang, Chaojie Mao, Mingqian Tang, Yu-Feng Li:
NGC: A Unified Framework for Learning with Open-World Noisy Data. CoRR abs/2108.11035 (2021) - [i12]Tong Wei, Jiang-Xin Shi, Wei-Wei Tu, Yu-Feng Li:
Robust Long-Tailed Learning under Label Noise. CoRR abs/2108.11569 (2021) - [i11]Yi Xu, Lei Shang, Jinxing Ye, Qi Qian, Yu-Feng Li, Baigui Sun, Hao Li, Rong Jin:
Dash: Semi-Supervised Learning with Dynamic Thresholding. CoRR abs/2109.00650 (2021) - [i10]Tong Wei, Jiang-Xin Shi, Yu-Feng Li, Min-Ling Zhang:
Prototypical Classifier for Robust Class-Imbalanced Learning. CoRR abs/2110.11553 (2021) - 2020
- [j21]Min-Ling Zhang, Yu-Feng Li, Qi Liu:
Preface. J. Comput. Sci. Technol. 35(2): 231-233 (2020) - [j20]Ifaz Kabir, Yufeng Li, Ondrej Lhoták:
ιDOT: a DOT calculus with object initialization. Proc. ACM Program. Lang. 4(OOPSLA): 208:1-208:28 (2020) - [j19]Yufeng Zhou, Yufeng Li, Zhi Li:
A Grey Target Group Decision Method with Dual Hesitant Fuzzy Information considering Decision-Maker's Loss Aversion. Sci. Program. 2020: 8930387:1-8930387:10 (2020) - [j18]Miao Xu, Yu-Feng Li, Zhi-Hua Zhou:
Robust Multi-Label Learning with PRO Loss. IEEE Trans. Knowl. Data Eng. 32(8): 1610-1624 (2020) - [j17]Tong Wei, Yu-Feng Li:
Does Tail Label Help for Large-Scale Multi-Label Learning? IEEE Trans. Neural Networks Learn. Syst. 31(7): 2315-2324 (2020) - [c52]Lan-Zhe Guo, Feng Kuang, Zhang-Xun Liu, Yu-Feng Li, Nan Ma, Xiao-Hu Qie:
IWE-Net: Instance Weight Network for Locating Negative Comments and its application to improve Traffic User Experience. AAAI 2020: 4052-4059 - [c51]Qian-Wei Wang, Liang Yang, Yu-Feng Li:
Learning from Weak-Label Data: A Deep Forest Expedition. AAAI 2020: 6251-6258 - [c50]Yong-Nan Zhu, Yu-Feng Li:
Semi-Supervised Streaming Learning with Emerging New Labels. AAAI 2020: 7015-7022 - [c49]Zhi-Fan Wu, Yu-Feng Li:
Semi-Supervised Graph Embedding via Multi-instance Kernel Learning. BigComp 2020: 90-97 - [c48]Yong-Nan Zhu, Xiaotian Luo, Yu-Feng Li, Bin Bu, Kaibo Zhou, Wenbin Zhang, Mingfan Lu:
Heterogeneous Mini-Graph Neural Network and Its Application to Fraud Invitation Detection. ICDM 2020: 891-899 - [c47]Yu-Xuan Huang, Wang-Zhou Dai, Jian Yang, Le-Wen Cai, Shaofen Cheng, Ruizhang Huang, Yu-Feng Li, Zhi-Hua Zhou:
Semi-Supervised Abductive Learning and Its Application to Theft Judicial Sentencing. ICDM 2020: 1070-1075 - [c46]Lan-Zhe Guo, Zhenyu Zhang, Yuan Jiang, Yu-Feng Li, Zhi-Hua Zhou:
Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data. ICML 2020: 3897-3906 - [c45]Lan-Zhe Guo, Zhi Zhou, Yu-Feng Li:
RECORD: Resource Constrained Semi-Supervised Learning under Distribution Shift. KDD 2020: 1636-1644 - [c44]Tianlin Huo, Wenhao Wang, Pei Zhao, Yufeng Li, Tingting Wang, Mingshu Li:
TEADS: A Defense-aware Framework for Synthesizing Transient Execution Attacks. TrustCom 2020: 320-327 - [c43]Wei Pang, Yufeng Li, Shengli Lu:
8-bit Convolutional Neural Network Accelerator for Face Recognition. UEMCON 2020: 35-39 - [e1]Wookey Lee, Luonan Chen, Yang-Sae Moon, Julien Bourgeois, Mehdi Bennis, Yu-Feng Li, Young-Guk Ha, Hyuk-Yoon Kwon, Alfredo Cuzzocrea:
2020 IEEE International Conference on Big Data and Smart Computing, BigComp 2020, Busan, Korea (South), February 19-22, 2020. IEEE 2020, ISBN 978-1-7281-6034-4 [contents] - [i9]Lan-Zhe Guo, Feng Kuang, Zhang-Xun Liu, Yu-Feng Li, Nan Ma, Xiao-Hu Qie:
Weakly Supervised Learning Meets Ride-Sharing User Experience Enhancement. CoRR abs/2001.09027 (2020) - [i8]Tong Wei, Feng Shi, Hai Wang, Wei-Wei Tu, Yu-Feng Li:
MixPUL: Consistency-based Augmentation for Positive and Unlabeled Learning. CoRR abs/2004.09388 (2020)
2010 – 2019
- 2019
- [j16]Yu-Feng Li, De-Ming Liang:
Safe semi-supervised learning: a brief introduction. Frontiers Comput. Sci. 13(4): 669-676 (2019) - [c42]Yu-Feng Li, Hai Wang, Tong Wei, Wei-Wei Tu:
Towards Automated Semi-Supervised Learning. AAAI 2019: 4237-4244 - [c41]Tong Wei, Yu-Feng Li:
Learning Compact Model for Large-Scale Multi-Label Data. AAAI 2019: 5385-5392 - [c40]Feng Shi, Yu-Feng Li:
Rapid Performance Gain through Active Model Reuse. IJCAI 2019: 3404-3410 - [c39]Qian-Wei Wang, Yu-Feng Li, Zhi-Hua Zhou:
Partial Label Learning with Unlabeled Data. IJCAI 2019: 3755-3761 - [c38]Tong Wei, Wei-Wei Tu, Yu-Feng Li:
Learning for Tail Label Data: A Label-Specific Feature Approach. IJCAI 2019: 3842-3848 - [c37]Huaqing Liu, Haoping Xiao, Lishu Luo, Chaobo Feng, Bangde Yin, Dongdong Wang, Yufeng Li, Shisheng He, Guoxin Fan:
Semi-supervised Semantic Segmentation of Multiple Lumbosacral Structures on CT. CSI@MICCAI 2019: 47-59 - [c36]Lan-Zhe Guo, Tao Han, Yu-Feng Li:
Robust Semi-supervised Representation Learning for Graph-Structured Data. PAKDD (3) 2019: 131-143 - [i7]Lan-Zhe Guo, Yu-Feng Li, Ming Li, Jinfeng Yi, Bowen Zhou, Zhi-Hua Zhou:
Reliable Weakly Supervised Learning: Maximize Gain and Maintain Safeness. CoRR abs/1904.09743 (2019) - 2018
- [j15]Zidong Han, Yufeng Li, Junyu Liang:
Numerical Improvement for the Mechanical Performance of Bikes Based on an Intelligent PSO-ABC Algorithm and WSN Technology. IEEE Access 6: 32890-32898 (2018) - [j14]Hai Wang, Shao-Bo Wang, Yu-Feng Li:
Instance selection method for improving graph-based semi-supervised learning. Frontiers Comput. Sci. 12(4): 725-735 (2018) - [j13]Tong Wei, Lan-Zhe Guo, Yu-Feng Li, Wei Gao:
Learning safe multi-label prediction for weakly labeled data. Mach. Learn. 107(4): 703-725 (2018) - [j12]Yufeng Li, Ping'an Li, Daozhong Lei, Yingchun Shi, Lixin Tan:
Investigating image stitching for action recognition. Multim. Tools Appl. 77(3): 3279-3286 (2018) - [j11]Ziyang Cheng, Bin Liao, Zishu He, Yufeng Li, Jun Li:
Spectrally Compatible Waveform Design for MIMO Radar in the Presence of Multiple Targets. IEEE Trans. Signal Process. 66(13): 3543-3555 (2018) - [c35]Hao-Chen Dong, Yu-Feng Li, Zhi-Hua Zhou:
Learning From Semi-Supervised Weak-Label Data. AAAI 2018: 2926-2933 - [c34]Lan-Zhe Guo, Yu-Feng Li:
A General Formulation for Safely Exploiting Weakly Supervised Data. AAAI 2018: 3126-3133 - [c33]Lan-Zhe Guo, Shao-Bo Wang, Yu-Feng Li:
Large Margin Graph Construction for Semi-Supervised Learning. ICDM Workshops 2018: 1030-1033 - [c32]Ziyang Cheng, Bin Liao, Zishu He, Yufeng Li:
Spectrally Compatible Waveform Design for MIMO Radar With Transmit Beampattern Formation. DSP 2018: 1-5 - [c31]Tong Wei, Yu-Feng Li:
Does Tail Label Help for Large-Scale Multi-Label Learning. IJCAI 2018: 2847-2853 - [c30]De-Ming Liang, Yu-Feng Li:
Lightweight Label Propagation for Large-Scale Network Data. IJCAI 2018: 3421-3427 - [i6]Quanming Yao, Mengshuo Wang, Hugo Jair Escalante, Isabelle Guyon, Yi-Qi Hu, Yu-Feng Li, Wei-Wei Tu, Qiang Yang, Yang Yu:
Taking Human out of Learning Applications: A Survey on Automated Machine Learning. CoRR abs/1810.13306 (2018) - [i5]Guoxin Fan, Huaqing Liu, Zhenhua Wu, Yufeng Li, Chaobo Feng, Dongdong Wang, Jie Luo, Xiaofei Guan, William M. Wells III, Shisheng He:
Deep learning based automatic segmentation of lumbosacral nerves on non-contrast CT for radiographic evaluation: a pilot study. CoRR abs/1811.11843 (2018) - 2017
- [j10]Yukun Zhao, Feng Yun, Lungang Feng, Shuai Wang, Yufeng Li, Xilin Su, Maofeng Guo, Wen Ding, Ye Zhang:
Improving Peak-Wavelength Method to Measure Junction Temperature by Dual-Wavelength LEDs. IEEE Access 5: 11712-11716 (2017) - [c29]Yu-Feng Li, Han-Wen Zha, Zhi-Hua Zhou:
Learning Safe Prediction for Semi-Supervised Regression. AAAI 2017: 2217-2223 - 2016
- [j9]Ping'an Li, Yufeng Li, Lixin Tan:
Transfer useful knowledge for headpose estimation from low resolution images. Multim. Tools Appl. 75(15): 9395-9408 (2016) - [c28]Wei Gao, Lu Wang, Yu-Feng Li, Zhi-Hua Zhou:
Risk Minimization in the Presence of Label Noise. AAAI 2016: 1575-1581 - [c27]Yu-Feng Li, James T. Kwok, Zhi-Hua Zhou:
Towards Safe Semi-Supervised Learning for Multivariate Performance Measures. AAAI 2016: 1816-1822 - [c26]Yu-Feng Li, Shao-Bo Wang, Zhi-Hua Zhou:
Graph Quality Judgement: A Large Margin Expedition. IJCAI 2016: 1725-1731 - [c25]Zhizhuo Yang, Dongdong Weng, Zhenliang Zhang, Yufeng Li, Yue Liu:
Perceptual Issues of a Passive Haptics Feedback Based MR System. ISMAR Adjunct 2016: 310-317 - [c24]Hai Wang, Shao-Bo Wang, Yu-Feng Li:
Instance Selection Method for Improving Graph-Based Semi-supervised Learning. PRICAI 2016: 565-573 - [c23]Xinyue Liu, Charu C. Aggarwal, Yu-Feng Li, Xiangnan Kong, Xinyuan Sun, Saket Sathe:
Kernelized Matrix Factorization for Collaborative Filtering. SDM 2016: 378-386 - 2015
- [j8]Sheng Zhang, Yunyang Yan, Yufeng Li:
热红外与可见光视频融合的运动目标检测 (Moving Target Detection Using Fusion of Visual and Thermal Video). 计算机科学 42(8): 86-89 (2015) - [j7]Yu-Feng Li, Zhi-Hua Zhou:
Towards Making Unlabeled Data Never Hurt. IEEE Trans. Pattern Anal. Mach. Intell. 37(1): 175-188 (2015) - 2014
- [c22]Xiaojing Gao, Xiaoling Luo, Yufeng Li, Xia Liu, Xin Pan, Kaixue Zhang:
Face Recognition Based GLOH Descriptor and Integration of Local Features. ICIMCS 2014: 71 - 2013
- [j6]Yu-Feng Li, Ivor W. Tsang, James T. Kwok, Zhi-Hua Zhou:
Convex and scalable weakly labeled SVMs. J. Mach. Learn. Res. 14(1): 2151-2188 (2013) - [j5]Rong Jin, Tianbao Yang, Mehrdad Mahdavi, Yu-Feng Li, Zhi-Hua Zhou:
Improved Bounds for the Nyström Method With Application to Kernel Classification. IEEE Trans. Inf. Theory 59(10): 6939-6949 (2013) - [c21]Miao Xu, Yu-Feng Li, Zhi-Hua Zhou:
Multi-Label Learning with PRO Loss. AAAI 2013: 998-1004 - [c20]Chunchao Huang, Dongdong Weng, Yufeng Li, Haiyun Zhou:
Projector-Screen Matching Image Generation Technology for Spatial Augmented Reality. CAD/Graphics 2013: 435-436 - [i4]Yu-Feng Li, Ivor W. Tsang, James T. Kwok, Zhi-Hua Zhou:
Convex and Scalable Weakly Labeled SVMs. CoRR abs/1303.1271 (2013) - 2012
- [j4]Zhi-Hua Zhou, Min-Ling Zhang, Sheng-Jun Huang, Yu-Feng Li:
Multi-instance multi-label learning. Artif. Intell. 176(1): 2291-2320 (2012) - [c19]Yu-Feng Li, Ju-Hua Hu, Yuan Jiang, Zhi-Hua Zhou:
Towards Discovering What Patterns Trigger What Labels. AAAI 2012: 1012-1018 - [c18]Tianbao Yang, Yu-Feng Li, Mehrdad Mahdavi, Rong Jin, Zhi-Hua Zhou:
Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison. NIPS 2012: 485-493 - 2011
- [j3]Yufeng Li, Xiaoyun Feng, Yong Fan:
Investigation of Shift Dependency Effects on Multiresolution-Based Image Fusion Performance. J. Softw. 6(3): 475-482 (2011) - [c17]Yu-Feng Li, Zhi-Hua Zhou:
Improving Semi-Supervised Support Vector Machines Through Unlabeled Instances Selection. AAAI 2011: 386-391 - [c16]Yufeng Li, Chunling Wang:
Design of Koji Making Disc Machine Control System in Soy Sauce. ICAIC (4) 2011: 648-655 - [c15]Yu-Feng Li, Zhi-Hua Zhou:
Towards Making Unlabeled Data Never Hurt. ICML 2011: 1081-1088 - [c14]Yang Yu, Yu-Feng Li, Zhi-Hua Zhou:
Diversity Regularized Machine. IJCAI 2011: 1603-1608 - 2010
- [c13]Yu-Feng Li, James T. Kwok, Zhi-Hua Zhou:
Cost-Sensitive Semi-Supervised Support Vector Machine. AAAI 2010: 500-505 - [c12]Yufeng Li, Yinghua Yang, Guiju Li:
A Novel Wipe Transition Detection Method Based on Multi-Feature. WKDD 2010: 451-454 - [i3]Yu-Feng Li, Zhi-Hua Zhou:
S4VM: Safe Semi-Supervised Support Vector Machine. CoRR abs/1005.1545 (2010)
2000 – 2009
- 2009
- [c11]Dequan Zheng, Tiejun Zhao, Sheng Li, Yufeng Li:
Study on Image Classification based on SVM and the Fusion of Multiple Features. ICEIS (2) 2009: 80-84 - [c10]Yu-Feng Li, James T. Kwok, Zhi-Hua Zhou:
Semi-supervised learning using label mean. ICML 2009: 633-640 - [c9]De-Chuan Zhan, Ming Li, Yu-Feng Li, Zhi-Hua Zhou:
Learning instance specific distances using metric propagation. ICML 2009: 1225-1232 - [c8]Zhi-Hua Zhou, Yu-Yin Sun, Yu-Feng Li:
Multi-instance learning by treating instances as non-I.I.D. samples. ICML 2009: 1249-1256 - [c7]Yufeng Li:
Dynamic Particle Swarm Optimization Algorithm for Resolution of Overlapping Chromatograms. ICNC (3) 2009: 246-250 - [c6]Yu-Feng Li, James T. Kwok, Ivor W. Tsang, Zhi-Hua Zhou:
A Convex Method for Locating Regions of Interest with Multi-instance Learning. ECML/PKDD (2) 2009: 15-30 - [c5]Yu-Feng Li, Ivor W. Tsang, James Tin-Yau Kwok, Zhi-Hua Zhou:
Tighter and Convex Maximum Margin Clustering. AISTATS 2009: 344-351 - 2008
- [c4]Yufeng Li, Zheng Zhao:
A Novel Shot Detection Algorithm Based on Information Theory. PACIIA (2) 2008: 240-244 - [i2]Zhi-Hua Zhou, Yu-Yin Sun, Yu-Feng Li:
Multi-Instance Learning by Treating Instances As Non-I.I.D. Samples. CoRR abs/0807.1997 (2008) - [i1]Zhi-Hua Zhou, Min-Ling Zhang, Sheng-Jun Huang, Yu-Feng Li:
MIML: A Framework for Learning with Ambiguous Objects. CoRR abs/0808.3231 (2008) - 2006
- [j2]Wen-Lung Shiau, Yufeng Li, Han-Chieh Chao, Ping-Yu Hsu:
Evaluating IPv6 on a large-scale network. Comput. Commun. 29(16): 3113-3121 (2006) - [c3]Xiaozhuo Gu, Yufeng Li, Jianzu Yang, Julong Lan:
Hardware-and-Software-Based Security Architecture for Broadband Router (Short Paper). ICICS 2006: 546-555 - 2005
- [j1]Tin Yu Wu, Han-Chieh Chao, Tak-Goa Tsuei, Yufeng Li:
A measurement study of network efficiency for TWAREN IPv6 backbone. Int. J. Netw. Manag. 15(6): 411-419 (2005) - [c2]Yue Chen, Na Wang, Yufeng Li, Julong Lan:
CMSM - A Closed Multi-Source IP Multicast Protocol. CIT 2005: 435-441 - [c1]Yufeng Li:
Investigation on dynamics of the flow control unit in ventilator systems and its fundamental performance limitations. ACC 2005: 2181-2186
Coauthor Index
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