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Lei Feng 0006
Person information
- affiliation: Singapore University of Technology and Design, Singapore
- affiliation (former): Nanyang Technological University, Singapore
- affiliation (2021 - 2023): Chongqing University, China
- affiliation (PhD): Nanyang Technological University, Singapore
Other persons with the same name
- Lei Feng — disambiguation page
- Lei Feng 0001
— Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
- Lei Feng 0002
— KTH Royal Institute of Technology, Stockholm, Sweden (and 1 more)
- Lei Feng 0003
— Jinling Institute of Technology, School of Computer Engineering, Nanjing, China (and 1 more)
- Lei Feng 0004 — University of Maryland, College Park, MD, USA
- Lei Feng 0005 — Capital Medical University, Mood Disorders Center, Beijing, China (and 1 more)
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2020 – today
- 2024
- [j18]Senlin Shu, Haobo Wang, Zhuowei Wang, Bo Han, Tao Xiang, Bo An, Lei Feng
:
Online binary classification from similar and dissimilar data. Mach. Learn. 113(6): 3463-3484 (2024) - [j17]Fei Zhang, Yunjie Ye, Lei Feng, Zhongwen Rao, Jieming Zhu, Marcus Kalander, Chen Gong, Jianye Hao, Bo Han:
Exploiting counter-examples for active learning with partial labels. Mach. Learn. 113(6): 3849-3868 (2024) - [j16]Qi WeiLei
, Lei Feng, Haoliang Sun, Ren Wang, Rundong He, Yilong Yin:
Correction: Learning sample-aware threshold for semi-supervised learning. Mach. Learn. 113(7): 4951 (2024) - [j15]Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Rundong He, Yilong Yin:
Learning sample-aware threshold for semi-supervised learning. Mach. Learn. 113(8): 5423-5445 (2024) - [j14]Jiaqi Lv
, Biao Liu
, Lei Feng
, Ning Xu
, Miao Xu
, Bo An
, Gang Niu
, Xin Geng
, Masashi Sugiyama
:
On the Robustness of Average Losses for Partial-Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 2569-2583 (2024) - [j13]Haobo Wang
, Ruixuan Xiao
, Yixuan Li
, Lei Feng
, Gang Niu
, Gang Chen
, Junbo Zhao
:
PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3183-3198 (2024) - [j12]Senlin Shu
, Deng-Bao Wang
, Suqin Yuan
, Hongxin Wei
, Jiuchuan Jiang
, Lei Feng
, Min-Ling Zhang
:
Multiple-instance Learning from Triplet Comparison Bags. ACM Trans. Knowl. Discov. Data 18(4): 90:1-90:18 (2024) - [j11]Haobo Wang
, Cheng Peng
, Hede Dong
, Lei Feng
, Weiwei Liu
, Tianlei Hu
, Ke Chen
, Gang Chen
:
On the Value of Head Labels in Multi-Label Text Classification. ACM Trans. Knowl. Discov. Data 18(5): 124:1-124:21 (2024) - [c55]Shuqi Liu, Yuzhou Cao, Qiaozhen Zhang, Lei Feng, Bo An:
Mitigating Underfitting in Learning to Defer with Consistent Losses. AISTATS 2024: 4816-4824 - [c54]Yuzhou Cao, Lei Feng, Bo An:
Consistent Hierarchical Classification with A Generalized Metric. AISTATS 2024: 4825-4833 - [c53]Shuo He, Chaojie Wang, Guowu Yang, Lei Feng:
Candidate Label Set Pruning: A Data-centric Perspective for Deep Partial-label Learning. ICLR 2024 - [c52]Zixi Wei, Senlin Shu, Yuzhou Cao, Hongxin Wei, Bo An, Lei Feng:
Consistent Multi-Class Classification from Multiple Unlabeled Datasets. ICLR 2024 - [c51]Suqin Yuan, Lei Feng, Tongliang Liu:
Early Stopping Against Label Noise Without Validation Data. ICLR 2024 - [c50]Shengjie Zhou, Lue Tao, Yuzhou Cao, Tao Xiang, Bo An, Lei Feng:
On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks. ICLR 2024 - [i51]Chaojie Wang, Yishi Xu, Zhong Peng, Chenxi Zhang, Bo Chen, Xinrun Wang, Lei Feng, Bo An:
keqing: knowledge-based question answering is a nature chain-of-thought mentor of LLM. CoRR abs/2401.00426 (2024) - [i50]Qi Wei, Lei Feng, Haobo Wang, Bo An:
Debiased Sample Selection for Combating Noisy Labels. CoRR abs/2401.13360 (2024) - [i49]Huajun Xi, Jianguo Huang, Lei Feng, Hongxin Wei:
Does Confidence Calibration Help Conformal Prediction? CoRR abs/2402.04344 (2024) - [i48]Zhenlong Liu, Lei Feng, Huiping Zhuang, Xiaofeng Cao, Hongxin Wei:
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss. CoRR abs/2402.05453 (2024) - [i47]Yuyan Zhou, Ye Li, Lei Feng, Sheng-Jun Huang:
Improving Generalization of Deep Neural Networks by Optimum Shifting. CoRR abs/2405.14111 (2024) - [i46]Yuwei Niu, Shuo He, Qi Wei, Feng Liu, Lei Feng:
BDetCLIP: Multimodal Prompting Contrastive Test-Time Backdoor Detection. CoRR abs/2405.15269 (2024) - [i45]Chuqiao Zong, Chaojie Wang, Molei Qin, Lei Feng, Xinrun Wang, Bo An:
MacroHFT: Memory Augmented Context-aware Reinforcement Learning On High Frequency Trading. CoRR abs/2406.14537 (2024) - [i44]Beibei Li, Yiyuan Zheng, Beihong Jin, Tao Xiang, Haobo Wang, Lei Feng:
AsyCo: An Asymmetric Dual-task Co-training Model for Partial-label Learning. CoRR abs/2407.15036 (2024) - 2023
- [j10]Fengmao Lv
, Jianyang Zhang, Guowu Yang, Lei Feng
, Yufeng Yu, Lixin Duan:
Learning cross-domain semantic-visual relationships for transductive zero-shot learning. Pattern Recognit. 141: 109591 (2023) - [j9]Zhuoyi Lin
, Lei Feng
, Xingzhi Guo
, Yu Zhang
, Rui Yin
, Chee Keong Kwoh
, Chi Xu
:
COMET: Convolutional Dimension Interaction for Collaborative Filtering. ACM Trans. Intell. Syst. Technol. 14(4): 59:1-59:18 (2023) - [j8]Lei Feng
, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei
, Tao Xiang
, Bo An
, Gang Niu
:
Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity. IEEE Trans. Knowl. Data Eng. 35(11): 11599-11609 (2023) - [j7]Hongxin Wei
, Renchunzi Xie, Lei Feng
, Bo Han
, Bo An
:
Deep Learning From Multiple Noisy Annotators as A Union. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10552-10562 (2023) - [c49]Xin Cheng
, Deng-Bao Wang, Lei Feng, Min-Ling Zhang, Bo An:
Partial-Label Regression. AAAI 2023: 7140-7147 - [c48]Senlin Shu
, Shuo He, Haobo Wang, Hongxin Wei, Tao Xiang, Lei Feng:
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes. AAAI 2023: 9829-9836 - [c47]Shuqi Liu, Yuzhou Cao, Qiaozhen Zhang, Lei Feng, Bo An:
Consistent Complementary-Label Learning via Order-Preserving Losses. AISTATS 2023: 8734-8748 - [c46]Qi Wei
, Lei Feng, Haoliang Sun, Ren Wang, Chenhui Guo, Yilong Yin:
Fine-Grained Classification with Noisy Labels. CVPR 2023: 11651-11660 - [c45]Shuo He, Guowu Yang, Lei Feng:
Candidate-aware Selective Disambiguation Based On Normalized Entropy for Instance-dependent Partial-label Learning. ICCV 2023: 1792-1801 - [c44]Suqin Yuan, Lei Feng, Tongliang Liu:
Late Stopping: Avoiding Confidently Learning from Mislabeled Examples. ICCV 2023: 16033-16042 - [c43]Penghui Yang, Ming-Kun Xie, Chen-Chen Zong, Lei Feng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang:
Multi-Label Knowledge Distillation. ICCV 2023: 17225-17234 - [c42]Xin Cheng
, Yuzhou Cao, Ximing Li, Bo An, Lei Feng:
Weakly Supervised Regression with Interval Targets. ICML 2023: 5428-5448 - [c41]Zixi Wei, Lei Feng, Bo Han, Tongliang Liu, Gang Niu, Xiaofeng Zhu, Heng Tao Shen:
A Universal Unbiased Method for Classification from Aggregate Observations. ICML 2023: 36804-36820 - [c40]Hongxin Wei, Huiping Zhuang, Renchunzi Xie, Lei Feng, Gang Niu, Bo An, Yixuan Li:
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction. ICML 2023: 36868-36886 - [c39]Ruixuan Xiao, Yiwen Dong, Haobo Wang, Lei Feng, Runze Wu, Gang Chen, Junbo Zhao:
ProMix: Combating Label Noise via Maximizing Clean Sample Utility. IJCAI 2023: 4442-4450 - [c38]Shuo He
, Lei Feng
, Guowu Yang
:
Partial-label Learning with Mixed Closed-set and Open-set Out-of-candidate Examples. KDD 2023: 722-731 - [c37]Yuzhou Cao, Hussein Mozannar, Lei Feng, Hongxin Wei, Bo An:
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer. NeurIPS 2023 - [c36]Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng:
Regression with Cost-based Rejection. NeurIPS 2023 - [c35]Wei Wang, Lei Feng, Yuchen Jiang, Gang Niu, Min-Ling Zhang, Masashi Sugiyama:
Binary Classification with Confidence Difference. NeurIPS 2023 - [c34]Zhiqing Xiao, Haobo Wang, Ying Jin, Lei Feng, Gang Chen, Fei Huang, Junbo Zhao:
SPA: A Graph Spectral Alignment Perspective for Domain Adaptation. NeurIPS 2023 - [c33]Renchunzi Xie, Hongxin Wei, Lei Feng, Yuzhou Cao, Bo An:
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error. NeurIPS 2023 - [c32]Mingyu Xu, Zheng Lian, Lei Feng, Bin Liu, Jianhua Tao:
ALIM: Adjusting Label Importance Mechanism for Noisy Partial Label Learning. NeurIPS 2023 - [i43]Mingyu Xu, Zheng Lian, Lei Feng, Bin Liu, Jianhua Tao:
DALI: Dynamically Adjusted Label Importance for Noisy Partial Label Learning. CoRR abs/2301.12077 (2023) - [i42]Qi Wei, Lei Feng
, Haoliang Sun, Ren Wang, Chenhui Guo, Yilong Yin:
Fine-Grained Classification with Noisy Labels. CoRR abs/2303.02404 (2023) - [i41]Shiyu Tian, Hongxin Wei, Yiqun Wang, Lei Feng
:
CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning. CoRR abs/2303.10365 (2023) - [i40]Renchunzi Xie, Hongxin Wei, Yuzhou Cao, Lei Feng
, Bo An:
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error. CoRR abs/2303.15488 (2023) - [i39]Jie Xu, Gang Niu, Xiaolong Wang, Yazhou Ren, Lei Feng, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu:
Investigating and Mitigating the Side Effects of Noisy Views in Multi-view Clustering in Practical Scenarios. CoRR abs/2303.17245 (2023) - [i38]Leida Zhang, Yiqun Wang, Zhengda Lu, Lei Feng:
SDFReg: Learning Signed Distance Functions for Point Cloud Registration. CoRR abs/2304.08929 (2023) - [i37]Senlin Shu, Shuo He, Haobo Wang, Hongxin Wei, Tao Xiang, Lei Feng:
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes. CoRR abs/2306.06894 (2023) - [i36]Xin Cheng, Deng-Bao Wang, Lei Feng, Min-Ling Zhang, Bo An:
Partial-Label Regression. CoRR abs/2306.08968 (2023) - [i35]Xin Cheng, Yuzhou Cao, Ximing Li, Bo An, Lei Feng:
Weakly Supervised Regression with Interval Targets. CoRR abs/2306.10458 (2023) - [i34]Zixi Wei, Lei Feng, Bo Han, Tongliang Liu, Gang Niu, Xiaofeng Zhu, Heng Tao Shen:
A Universal Unbiased Method for Classification from Aggregate Observations. CoRR abs/2306.11343 (2023) - [i33]Shuo He, Lei Feng, Guowu Yang:
Partial-label Learning with Mixed Closed-set and Open-set Out-of-candidate Examples. CoRR abs/2307.00553 (2023) - [i32]Fei Zhang, Yunjie Ye, Lei Feng, Zhongwen Rao, Jieming Zhu, Marcus Kalander, Chen Gong, Jianye Hao, Bo Han:
Exploiting Counter-Examples for Active Learning with Partial labels. CoRR abs/2307.07413 (2023) - [i31]Penghui Yang
, Ming-Kun Xie, Chen-Chen Zong, Lei Feng
, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang:
Multi-Label Knowledge Distillation. CoRR abs/2308.06453 (2023) - [i30]Suqin Yuan, Lei Feng
, Tongliang Liu:
Late Stopping: Avoiding Confidently Learning from Mislabeled Examples. CoRR abs/2308.13862 (2023) - [i29]Wei Wang, Lei Feng, Yuchen Jiang, Gang Niu, Min-Ling Zhang, Masashi Sugiyama:
Binary Classification with Confidence Difference. CoRR abs/2310.05632 (2023) - [i28]Zhiqing Xiao, Haobo Wang, Ying Jin, Lei Feng, Gang Chen, Fei Huang, Junbo Zhao:
SPA: A Graph Spectral Alignment Perspective for Domain Adaptation. CoRR abs/2310.17594 (2023) - [i27]Yuzhou Cao, Hussein Mozannar, Lei Feng, Hongxin Wei, Bo An:
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer. CoRR abs/2311.01106 (2023) - [i26]Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng:
Regression with Cost-based Rejection. CoRR abs/2311.04550 (2023) - 2022
- [j6]Lei Feng
, Jun Huang
, Senlin Shu, Bo An
:
Regularized Matrix Factorization for Multilabel Learning With Missing Labels. IEEE Trans. Cybern. 52(5): 3710-3721 (2022) - [j5]Zhuowei Wang, Jing Jiang, Bo Han, Lei Feng, Bo An, Gang Niu, Guodong Long:
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning. Trans. Mach. Learn. Res. 2022 (2022) - [c31]Lue Tao, Lei Feng, Jinfeng Yi, Songcan Chen:
With False Friends Like These, Who Can Notice Mistakes? AAAI 2022: 8458-8466 - [c30]Renchunzi Xie, Hongxin Wei, Lei Feng, Bo An:
GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation. AAAI 2022: 8717-8725 - [c29]Changchun Li, Ximing Li, Lei Feng, Jihong Ouyang:
Who Is Your Right Mixup Partner in Positive and Unlabeled Learning. ICLR 2022 - [c28]Haobo Wang, Ruixuan Xiao, Yixuan Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao:
PiCO: Contrastive Label Disambiguation for Partial Label Learning. ICLR 2022 - [c27]Fei Zhang, Lei Feng, Bo Han, Tongliang Liu, Gang Niu, Tao Qin, Masashi Sugiyama:
Exploiting Class Activation Value for Partial-Label Learning. ICLR 2022 - [c26]Hongxin Wei, Lue Tao, Renchunzi Xie, Lei Feng, Bo An:
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets. ICML 2022: 23615-23630 - [c25]Hongxin Wei, Renchunzi Xie, Hao Cheng, Lei Feng, Bo An, Yixuan Li:
Mitigating Neural Network Overconfidence with Logit Normalization. ICML 2022: 23631-23644 - [c24]Shuo He, Lei Feng
, Fengmao Lv, Wen Li, Guowu Yang:
Partial Label Learning with Semantic Label Representations. KDD 2022: 545-553 - [c23]Yuzhou Cao, Tianchi Cai, Lei Feng, Lihong Gu, Jinjie Gu, Bo An, Gang Niu, Masashi Sugiyama:
Generalizing Consistent Multi-Class Classification with Rejection to be Compatible with Arbitrary Losses. NeurIPS 2022 - [c22]Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen:
Can Adversarial Training Be Manipulated By Non-Robust Features? NeurIPS 2022 - [c21]Haobo Wang, Mingxuan Xia, Yixuan Li, Yuren Mao, Lei Feng, Gang Chen, Junbo Zhao:
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning. NeurIPS 2022 - [i25]Renchunzi Xie, Hongxin Wei, Lei Feng, Bo An:
GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation. CoRR abs/2201.06001 (2022) - [i24]Haobo Wang, Ruixuan Xiao, Yixuan Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao:
PiCO: Contrastive Label Disambiguation for Partial Label Learning. CoRR abs/2201.08984 (2022) - [i23]Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen:
Can Adversarial Training Be Manipulated By Non-Robust Features? CoRR abs/2201.13329 (2022) - [i22]Hongxin Wei, Renchunzi Xie, Hao Cheng, Lei Feng
, Bo An, Yixuan Li:
Mitigating Neural Network Overconfidence with Logit Normalization. CoRR abs/2205.09310 (2022) - [i21]Hongxin Wei, Lue Tao, Renchunzi Xie, Lei Feng
, Bo An:
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets. CoRR abs/2206.08802 (2022) - [i20]Haobo Wang, Ruixuan Xiao, Yiwen Dong, Lei Feng
, Junbo Zhao:
ProMix: Combating Label Noise via Maximizing Clean Sample Utility. CoRR abs/2207.10276 (2022) - [i19]Haobo Wang, Mingxuan Xia, Yixuan Li, Yuren Mao, Lei Feng
, Gang Chen, Junbo Zhao:
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning. CoRR abs/2209.10365 (2022) - [i18]Hongxin Wei, Huiping Zhuang, Renchunzi Xie, Lei Feng, Gang Niu, Bo An, Yixuan Li:
Logit Clipping for Robust Learning against Label Noise. CoRR abs/2212.04055 (2022) - 2021
- [b1]Lei Feng:
Advanced topics in weakly supervised learning. Nanyang Technological University, Singapore, 2021 - [j4]Lei Feng
, Hongxin Wei, Qingyu Guo, Zhuoyi Lin, Bo An
:
Embedding-Augmented Generalized Matrix Factorization for Recommendation With Implicit Feedback. IEEE Intell. Syst. 36(6): 32-41 (2021) - [j3]Zhuoyi Lin, Lei Feng
, Rui Yin
, Chi Xu, Chee Keong Kwoh:
GLIMG: Global and local item graphs for top-N recommender systems. Inf. Sci. 580: 1-14 (2021) - [j2]Yan Yan
, Shining Li, Lei Feng
:
Partial multi-label learning with mutual teaching. Knowl. Based Syst. 212: 106624 (2021) - [c20]Tao Liang, Guosheng Lin, Lei Feng
, Yan Zhang
, Fengmao Lv:
Attention is not Enough: Mitigating the Distribution Discrepancy in Asynchronous Multimodal Sequence Fusion. ICCV 2021: 8128-8136 - [c19]Yuzhou Cao, Lei Feng, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama:
Learning from Similarity-Confidence Data. ICML 2021: 1272-1282 - [c18]Lei Feng, Senlin Shu, Nan Lu, Bo Han, Miao Xu
, Gang Niu, Bo An, Masashi Sugiyama:
Pointwise Binary Classification with Pairwise Confidence Comparisons. ICML 2021: 3252-3262 - [c17]Deng-Bao Wang, Lei Feng, Min-Ling Zhang:
Learning from Complementary Labels via Partial-Output Consistency Regularization. IJCAI 2021: 3075-3081 - [c16]Lei Feng
, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang
, Bo An, Gang Niu:
Multiple-Instance Learning from Similar and Dissimilar Bags. KDD 2021: 374-382 - [c15]Deng-Bao Wang, Lei Feng, Min-Ling Zhang:
Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence. NeurIPS 2021: 11809-11820 - [c14]Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen:
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training. NeurIPS 2021: 16209-16225 - [i17]Lue Tao, Lei Feng, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen:
Provable Defense Against Delusive Poisoning. CoRR abs/2102.04716 (2021) - [i16]Yuzhou Cao, Lei Feng, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama:
Learning from Similarity-Confidence Data. CoRR abs/2102.06879 (2021) - [i15]Jiaqi Lv, Lei Feng, Miao Xu, Bo An, Gang Niu, Xin Geng, Masashi Sugiyama:
On the Robustness of Average Losses for Partial-Label Learning. CoRR abs/2106.06152 (2021) - [i14]Yuzhou Cao, Lei Feng, Senlin Shu, Yitian Xu, Bo An, Gang Niu, Masashi Sugiyama:
Multi-Class Classification from Single-Class Data with Confidences. CoRR abs/2106.08864 (2021) - 2020
- [c13]Hongxin Wei, Lei Feng
, Xiangyu Chen, Bo An:
Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization. CVPR 2020: 13723-13732 - [c12]Lei Feng, Takuo Kaneko, Bo Han, Gang Niu, Bo An, Masashi Sugiyama:
Learning with Multiple Complementary Labels. ICML 2020: 3072-3081 - [c11]Jiaqi Lv, Miao Xu, Lei Feng, Gang Niu, Xin Geng, Masashi Sugiyama:
Progressive Identification of True Labels for Partial-Label Learning. ICML 2020: 6500-6510 - [c10]Lei Feng, Senlin Shu
, Zhuoyi Lin, Fengmao Lv, Li Li, Bo An:
Can Cross Entropy Loss Be Robust to Label Noise? IJCAI 2020: 2206-2212 - [c9]Jun Huang, Linchuan Xu, Jing Wang, Lei Feng, Kenji Yamanishi
:
Discovering Latent Class Labels for Multi-Label Learning. IJCAI 2020: 3058-3064 - [c8]Lei Feng, Jiaqi Lv, Bo Han, Miao Xu, Gang Niu, Xin Geng, Bo An, Masashi Sugiyama:
Provably Consistent Partial-Label Learning. NeurIPS 2020 - [i13]Jiaqi Lv, Miao Xu, Lei Feng, Gang Niu, Xin Geng, Masashi Sugiyama:
Progressive Identification of True Labels for Partial-Label Learning. CoRR abs/2002.08053 (2020) - [i12]Hongxin Wei, Lei Feng, Xiangyu Chen, Bo An:
Combating noisy labels by agreement: A joint training method with co-regularization. CoRR abs/2003.02752 (2020) - [i11]Jianyang Zhang, Fengmao Lv, Guowu Yang, Lei Feng, Yufeng Yu, Lixin Duan:
Learning Cross-domain Semantic-Visual Relation for Transductive Zero-Shot Learning. CoRR abs/2003.14105 (2020) - [i10]Senlin Shu, Fengmao Lv, Lei Feng, Jun Huang, Shuo He, Jun He, Li Li:
Incorporating Multiple Cluster Centers for Multi-Label Learning. CoRR abs/2004.08113 (2020) - [i9]Lei Feng, Jiaqi Lv, Bo Han, Miao Xu, Gang Niu, Xin Geng, Bo An, Masashi Sugiyama:
Provably Consistent Partial-Label Learning. CoRR abs/2007.08929 (2020) - [i8]Zhuoyi Lin, Lei Feng, Rui Yin, Chi Xu, Chee-Keong Kwoh:
GLIMG: Global and Local Item Graphs for Top-N Recommender Systems. CoRR abs/2007.14018 (2020) - [i7]Zhuoyi Lin, Lei Feng, Xingzhi Guo, Rui Yin, Chee Keong Kwoh, Chi Xu:
COMET: Convolutional Dimension Interaction for Deep Matrix Factorization. CoRR abs/2007.14129 (2020) - [i6]Lei Feng, Senlin Shu, Nan Lu, Bo Han, Miao Xu
, Gang Niu, Bo An, Masashi Sugiyama:
Pointwise Binary Classification with Pairwise Confidence Comparisons. CoRR abs/2010.01875 (2020) - [i5]Zhuowei Wang, Jing Jiang, Bo Han, Lei Feng, Bo An, Gang Niu, Guodong Long:
SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning. CoRR abs/2012.00925 (2020) - [i4]Hongxin Wei, Lei Feng, Rundong Wang, Bo An:
MetaInfoNet: Learning Task-Guided Information for Sample Reweighting. CoRR abs/2012.05273 (2020)
2010 – 2019
- 2019
- [c7]Lei Feng, Bo An:
Partial Label Learning with Self-Guided Retraining. AAAI 2019: 3542-3549 - [c6]Lei Feng, Bo An, Shuo He:
Collaboration Based Multi-Label Learning. AAAI 2019: 3550-3557 - [c5]Zhuoyi Lin, Lei Feng
, Chee-Keong Kwoh, Chi Xu:
Fast Top-N Personalized Recommendation on Item Graph. IEEE BigData 2019: 3903-3908 - [c4]Lei Feng
, Bo An:
Partial Label Learning by Semantic Difference Maximization. IJCAI 2019: 2294-2300 - [c3]Ke Chen, Lei Feng, Qingkuang Chen, Gang Chen, Lidan Shou:
EXACT: Attributed Entity Extraction By Annotating Texts. SIGIR 2019: 1349-1352 - [i3]Lei Feng, Bo An:
Partial Label Learning with Self-Guided Retraining. CoRR abs/1902.03045 (2019) - [i2]Lei Feng, Bo An, Shuo He:
Collaboration based Multi-Label Learning. CoRR abs/1902.03047 (2019) - [i1]Lei Feng, Bo An:
Learning from Multiple Complementary Labels. CoRR abs/1912.12927 (2019) - 2018
- [c2]Shuo He, Lei Feng
, Li Li:
Estimating Latent Relative Labeling Importances for Multi-label Learning. ICDM 2018: 1013-1018 - [c1]Lei Feng
, Bo An:
Leveraging Latent Label Distributions for Partial Label Learning. IJCAI 2018: 2107-2113 - 2017
- [j1]Yantao Li, Fengtao Xue, Lei Feng, Zehui Qu:
A driving behavior detection system based on a smartphone's built-in sensor. Int. J. Commun. Syst. 30(8) (2017)
Coauthor Index
![](https://dblp.org/img/cog.dark.24x24.png)
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-21 20:23 CEST by the dblp team
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