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ORCIDKe Lu 0001
Person information
- affiliation: University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China
- affiliation (PhD 2006): University of Electronic Science and Technology of China, Chengdu, China
Other persons with the same name
- Ke Lu (aka: Ke Lv) — disambiguation page
- Ke Lu 0002
![[0000-0003-0176-3088]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-0176-3088")
(aka: Ke Lv 0002) — University of Chinese Academy of Sciences, School of Engineering Science, Beijing, China (and 4 more) - Ke Lu 0003 — South China University of Technology, School of Automation Science and Engineering, Guangzhou, China (and 1 more)
- Ke Lu 0004 — Tongji University, School of Automotive Studies, Shanghai, China
- Ke Lu 0005 — Chalmers University of Technology, Department of Electrical Engineering, Gothenburg, Sweden (and 1 more)
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2020 – today
- 2024
[j45]Mengmeng Jing, Jingjing Li, Ke Lu, Lei Zhu, Heng Tao Shen:
Visually Source-Free Domain Adaptation via Adversarial Style Matching. IEEE Trans. Image Process. 33: 1032-1044 (2024)- [j44]Hongzu Su, Jingjing Li, Zhekai Du, Lei Zhu, Ke Lu, Heng Tao Shen:
Cross-domain Recommendation via Dual Adversarial Adaptation. ACM Trans. Inf. Syst. 42(3): 83:1-83:26 (2024) - [c33]Xinyao Li, Jingjing Li, Fengling Li, Lei Zhu, Ke Lu:
Agile Multi-Source-Free Domain Adaptation. AAAI 2024: 13673-13681 - [c32]Xinyao Li, Yuke Li, Zhekai Du, Fengling Li, Ke Lu, Jingjing Li:
Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation. CVPR 2024: 23364-23374 - [c31]Zhekai Du, Xinyao Li, Fengling Li, Ke Lu, Lei Zhu, Jingjing Li:
Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation. CVPR 2024: 23375-23384 - [c30]Hongzu Su, Jingjing Li, Fengling Li, Ke Lu, Lei Zhu:
SOIL: Contrastive Second-Order Interest Learning for Multimodal Recommendation. ACM Multimedia 2024: 5838-5846 - [c29]Hongzu Su, Lichao Meng, Lei Zhu, Ke Lu, Jingjing Li:
DDPO: Direct Dual Propensity Optimization for Post-Click Conversion Rate Estimation. SIGIR 2024: 1179-1188 - [i13]Zhekai Du, Xinyao Li, Fengling Li, Ke Lu, Lei Zhu, Jingjing Li:
Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation. CoRR abs/2403.02899 (2024) - [i12]Xinyao Li, Jingjing Li, Fengling Li, Lei Zhu, Ke Lu:
Agile Multi-Source-Free Domain Adaptation. CoRR abs/2403.05062 (2024) - [i11]Xinyao Li, Yuke Li, Zhekai Du, Fengling Li, Ke Lu, Jingjing Li:
Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation. CoRR abs/2403.06946 (2024) - 2023
- [j43]Chenming Yang, Jingjing Li, Ke Lu, Bryan Hooi, Liang Zhou:
Continuous-time graph directed information maximization for temporal network representation. Inf. Sci. 644: 119240 (2023) - [j42]Zhiqi Yu, Jingjing Li, Lei Zhu, Ke Lu, Heng Tao Shen:
Uneven Bi-Classifier Learning for Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 33(7): 3398-3408 (2023) - [j41]Hongzu Su, Jingjing Li, Ke Lu, Lei Zhu, Heng Tao Shen:
Dual-Aligned Feature Confusion Alleviation for Generalized Zero-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. 33(8): 3774-3785 (2023) - [j40]Zhiqi Yu, Jingjing Li, Lei Zhu, Ke Lu, Heng Tao Shen:
Classification Certainty Maximization for Unsupervised Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 33(8): 4232-4243 (2023) - [j39]Jieyan Liu, Hongcai He, Mingzhu Liu, Jingjing Li, Ke Lu:
Manifold Regularized Joint Transfer for Open Set Domain Adaptation. IEEE Trans. Multim. 25: 9356-9369 (2023) - [j38]Jieyan Liu, Mengmeng Jing, Jingjing Li, Ke Lu, Heng Tao Shen:
Open Set Domain Adaptation via Joint Alignment and Category Separation. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6186-6199 (2023) - [c28]Hongzu Su, Zhekai Du, Jingjing Li, Lei Zhu, Ke Lu:
Cross-Domain Adaptative Learning for Online Advertisement Customer Lifetime Value Prediction. AAAI 2023: 4605-4613 - [c27]Ke Lu, Xiaotong He, Ze Qin, Xinyao Li, Zhekai Du:
Exploring Low-Dimensional Manifolds of Deep Neural Network Parameters for Improved Model Optimization. CIKM 2023: 1667-1676 - [c26]Hongzu Su, Jingjing Li, Fengling Li, Lei Zhu, Ke Lu, Yang Yang:
Task-Adversarial Adaptation for Multi-modal Recommendation. ACM Multimedia 2023: 6530-6538 - 2022
- [j37]Dongfen Li, Lichao Meng, Jingjing Li, Ke Lu, Yang Yang:
Domain adaptive state representation alignment for reinforcement learning. Inf. Sci. 609: 1353-1368 (2022) - [j36]Jingjing Li, Zhekai Du, Lei Zhu, Zhengming Ding, Ke Lu, Heng Tao Shen:
Divergence-Agnostic Unsupervised Domain Adaptation by Adversarial Attacks. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8196-8211 (2022) - [j35]Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Heng Tao Shen:
Investigating the Bilateral Connections in Generative Zero-Shot Learning. IEEE Trans. Cybern. 52(8): 8167-8178 (2022) - [j34]Kangkai Wu, Jingjing Li, Lin Zuo, Ke Lu, Heng Tao Shen:
Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [j33]Jingjing Li, Mengmeng Jing, Hongzu Su, Ke Lu, Lei Zhu, Heng Tao Shen:
Faster Domain Adaptation Networks. IEEE Trans. Knowl. Data Eng. 34(12): 5770-5783 (2022) - [j32]Ao Ma, Jingjing Li, Ke Lu, Lei Zhu, Heng Tao Shen:
Adversarial Entropy Optimization for Unsupervised Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6263-6274 (2022) - [j31]Ke Lu, Zhekai Du, Jingjing Li, Geyong Min:
Resource-Efficient Distributed Deep Neural Networks Empowered by Intelligent Software-Defined Networking. IEEE Trans. Netw. Serv. Manag. 19(4): 4069-4081 (2022) - [c25]Hongzu Su, Jingjing Li, Zhi Chen, Lei Zhu, Ke Lu:
Distinguishing Unseen from Seen for Generalized Zero-shot Learning. CVPR 2022: 7875-7884 - [c24]Lichao Meng, Jingjing Li, Ke Lu:
Cross-Domain Communications Between Agents Via Adversarial-Based Domain Adaptation in Reinforcement Learning. ICC 2022: 413-418 - [c23]Jieyan Liu, Yi Liu, Zhekai Du, Ke Lu:
Towards Distributed Communication and Control in Real-World Multi-Agent Reinforcement Learning. ICC 2022: 4974-4979 - [c22]Zhekai Du, Jingjing Li, Lin Zuo, Lei Zhu, Ke Lu:
Energy-Based Domain Generalization for Face Anti-Spoofing. ACM Multimedia 2022: 1749-1757 - [c21]Xinyao Li, Zhekai Du, Jingjing Li, Lei Zhu, Ke Lu:
Source-Free Active Domain Adaptation via Energy-Based Locality Preserving Transfer. ACM Multimedia 2022: 5802-5810 - 2021
- [j30]Fuming You, Hongzu Su, Jingjing Li, Lei Zhu, Ke Lu, Yang Yang:
Learning a Weighted Classifier for Conditional Domain Adaptation. Knowl. Based Syst. 215: 106774 (2021) - [j29]Jingjing Li, Erpeng Chen, Zhengming Ding, Lei Zhu, Ke Lu, Heng Tao Shen:
Maximum Density Divergence for Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 43(11): 3918-3930 (2021) - [j28]Lin Zuo, Mengmeng Jing, Jingjing Li, Lei Zhu, Ke Lu, Yang Yang:
Challenging tough samples in unsupervised domain adaptation. Pattern Recognit. 110: 107540 (2021) - [j27]Zhekai Du, Jingjing Li, Lei Zhu, Ke Lu, Heng Tao Shen:
Adversarial Energy Disaggregation. Trans. Data Sci. 2(4): 27:1-27:16 (2021) - [j26]Jingjing Li, Ke Lu, Zi Huang, Heng Tao Shen:
On Both Cold-Start and Long-Tail Recommendation with Social Data. IEEE Trans. Knowl. Data Eng. 33(1): 194-208 (2021) - [c20]Mengmeng Jing, Jingjing Li, Lei Zhu, Zhengming Ding, Ke Lu, Yang Yang:
Balanced Open Set Domain Adaptation via Centroid Alignment. AAAI 2021: 8013-8020 - [c19]Zhekai Du, Jingjing Li, Hongzu Su, Lei Zhu, Ke Lu:
Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation. CVPR 2021: 3937-3946 - [c18]Zhekai Du, Jingjing Li, Ke Lu, Lei Zhu, Zi Huang:
Learning Transferrable and Interpretable Representations for Domain Generalization. ACM Multimedia 2021: 3340-3349 - [i10]Zhekai Du, Jingjing Li, Hongzu Su, Lei Zhu, Ke Lu:
Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation. CoRR abs/2106.04151 (2021) - [i9]Zhekai Du, Jingjing Li, Lei Zhu, Ke Lu, Heng Tao Shen:
Adversarial Energy Disaggregation for Non-intrusive Load Monitoring. CoRR abs/2108.01998 (2021) - [i8]Fuming You, Jingjing Li, Lei Zhu, Ke Lu, Zhi Chen, Zi Huang:
Domain Adaptive Semantic Segmentation without Source Data. CoRR abs/2110.06484 (2021) - 2020
- [j25]Fei Wang, Lei Zhu, Cheng Liang, Jingjing Li, Xiaojun Chang, Ke Lu:
Robust optimal graph clustering. Neurocomputing 378: 153-165 (2020) - [j24]Ao Ma, Fuming You, Mengmeng Jing, Jingjing Li, Ke Lu:
Multi-source domain adaptation with graph embedding and adaptive label prediction. Inf. Process. Manag. 57(6): 102367 (2020) - [j23]Yue Xie, Zhekai Du, Jingjing Li, Mengmeng Jing, Erpeng Chen, Ke Lu:
Joint metric and feature representation learning for unsupervised domain adaptation. Knowl. Based Syst. 192: 105222 (2020) - [j22]Mengmeng Jing, Jingjing Li, Ke Lu, Lei Zhu, Yang Yang:
Learning explicitly transferable representations for domain adaptation. Neural Networks 130: 39-48 (2020) - [c17]Jingjing Li, Mengmeng Jing, Lei Zhu, Zhengming Ding, Ke Lu, Yang Yang:
Learning Modality-Invariant Latent Representations for Generalized Zero-shot Learning. ACM Multimedia 2020: 1348-1356 - [c16]Mengmeng Jing, Jingjing Li, Lei Zhu, Ke Lu, Yang Yang, Zi Huang:
Incomplete Cross-modal Retrieval with Dual-Aligned Variational Autoencoders. ACM Multimedia 2020: 3283-3291 - [i7]Jingjing Li, Erpeng Chen, Zhengming Ding, Lei Zhu, Ke Lu, Heng Tao Shen:
Maximum Density Divergence for Domain Adaptation. CoRR abs/2004.12615 (2020)
2010 – 2019
- 2019
- [j21]Jingjing Li, Ke Lu, Zi Huang, Lei Zhu, Heng Tao Shen:
Transfer Independently Together: A Generalized Framework for Domain Adaptation. IEEE Trans. Cybern. 49(6): 2144-2155 (2019) - [j20]Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Heng Tao Shen:
Locality Preserving Joint Transfer for Domain Adaptation. IEEE Trans. Image Process. 28(12): 6103-6115 (2019) - [j19]Jingjing Li, Ke Lu, Zi Huang, Lei Zhu, Heng Tao Shen:
Heterogeneous Domain Adaptation Through Progressive Alignment. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1381-1391 (2019) - [c15]Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang:
From Zero-Shot Learning to Cold-Start Recommendation. AAAI 2019: 4189-4196 - [c14]Jingjing Li, Mengmeng Jing, Ke Lu, Zhengming Ding, Lei Zhu, Zi Huang:
Leveraging the Invariant Side of Generative Zero-Shot Learning. CVPR 2019: 7402-7411 - [c13]Yue Xie, Jingjing Li, Mengmeng Jing, Ke Lu, Zi Huang:
A Domain Adaptation Approach for Multistream Classification. DASFAA (3) 2019: 343-347 - [c12]Mengmeng Jing, Jingjing Li, Ke Lu, Jieyan Liu, Zi Huang:
Adaptive Component Embedding for Unsupervised Domain Adaptation. ICME 2019: 1660-1665 - [c11]Jingjing Li, Mengmeng Jing, Yue Xie, Ke Lu, Zi Huang:
Agile Domain Adaptation. IJCNN 2019: 1-8 - [c10]Jingjing Li, Erpeng Chen, Zhengming Ding, Lei Zhu, Ke Lu, Zi Huang:
Cycle-consistent Conditional Adversarial Transfer Networks. ACM Multimedia 2019: 747-755 - [c9]Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang:
Alleviating Feature Confusion for Generative Zero-shot Learning. ACM Multimedia 2019: 1587-1595 - [i6]Jingjing Li, Mengmeng Jing, Ke Lu, Zhengming Ding, Lei Zhu, Zi Huang:
Leveraging the Invariant Side of Generative Zero-Shot Learning. CoRR abs/1904.04092 (2019) - [i5]Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Heng Tao Shen:
Locality Preserving Joint Transfer for Domain Adaptation. CoRR abs/1906.07441 (2019) - [i4]Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang:
From Zero-Shot Learning to Cold-Start Recommendation. CoRR abs/1906.08511 (2019) - [i3]Jingjing Li, Mengmeng Jing, Yue Xie, Ke Lu, Zi Huang:
Agile Domain Adaptation. CoRR abs/1907.04978 (2019) - [i2]Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang:
Alleviating Feature Confusion for Generative Zero-shot Learning. CoRR abs/1909.07615 (2019) - [i1]Jingjing Li, Erpeng Chen, Zhengming Ding, Lei Zhu, Ke Lu, Zi Huang:
Cycle-consistent Conditional Adversarial Transfer Networks. CoRR abs/1909.07618 (2019) - 2018
- [j18]Jieyan Liu, Jingjing Li, Ke Lu:
Coupled local-global adaptation for multi-source transfer learning. Neurocomputing 275: 247-254 (2018) - [c8]Mengmeng Jing, Jingjing Li, Jidong Zhao, Ke Lu:
Learning Distribution-Matched Landmarks for Unsupervised Domain Adaptation. DASFAA (2) 2018: 491-508 - [c7]Jingjing Li, Lei Zhu, Zi Huang, Ke Lu, Jidong Zhao:
I read, I saw, I tell: Texts Assisted Fine-Grained Visual Classification. ACM Multimedia 2018: 663-671 - 2017
- [j17]Jieyan Liu, Ao Ma, Jingjing Li, Ke Lu:
Low-Rank Representation with Graph Constraints for Robust Visual Tracking. IEICE Trans. Inf. Syst. 100-D(6): 1325-1338 (2017) - [j16]Jingjing Li, Yue Wu, Ke Lu:
Structured Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 27(8): 1700-1713 (2017) - [j15]Jingjing Li, Yue Wu, Jidong Zhao, Ke Lu:
Low-Rank Discriminant Embedding for Multiview Learning. IEEE Trans. Cybern. 47(11): 3516-3529 (2017) - [c6]Jingjing Li, Ke Lu, Lei Zhu, Zhihui Li:
Locality-Constrained Transfer Coding for Heterogeneous Domain Adaptation. ADC 2017: 193-204 - [c5]Jingjing Li, Ke Lu, Zi Huang, Heng Tao Shen:
Two Birds One Stone: On both Cold-Start and Long-Tail Recommendation. ACM Multimedia 2017: 898-906 - 2016
- [j14]Jingjing Li, Yue Wu, Jidong Zhao, Ke Lu:
Multi-manifold Sparse Graph Embedding for Multi-modal Image Classification. Neurocomputing 173: 501-510 (2016) - [c4]Jingjing Li, Jidong Zhao, Ke Lu:
Joint Feature Selection and Structure Preservation for Domain Adaptation. IJCAI 2016: 1697-1703 - 2015
- [j13]Jidong Zhao, Jingjing Li, Ke Lu:
Robust Visual Tracking Using Sparse Discriminative Graph Embedding. IEICE Trans. Inf. Syst. 98-D(4): 938-947 (2015) - 2013
- [j12]Guanhong Yao, Ke Lu, Xiaofei He:
G-Optimal Feature Selection with Laplacian regularization. Neurocomputing 119: 175-181 (2013) - [j11]Ke Lu, Zhengming Ding, Sam S. Ge:
Locally connected graph for visual tracking. Neurocomputing 120: 45-53 (2013) - 2012
- [j10]Ke Lu, Zhengming Ding, Jidong Zhao:
Locally connected graph embedding for semisupervised image classification. J. Electronic Imaging 21(4): 043021 (2012) - [j9]Ke Lu, Zhengming Ding, Sam S. Ge:
Sparse-Representation-Based Graph Embedding for Traffic Sign Recognition. IEEE Trans. Intell. Transp. Syst. 13(4): 1515-1524 (2012) - 2011
- [j8]Ke Lu, Jidong Zhao:
Neighborhood preserving regression for image retrieval. Neurocomputing 74(9): 1467-1473 (2011) - [j7]Ke Lu, Jidong Zhao, Yue Wu:
Hessian optimal design for image retrieval. Pattern Recognit. 44(6): 1155-1161 (2011) - 2010
- [j6]Binbin Lin, Xiaofei He, Yuan Zhou, Ligang Liu, Ke Lu:
Approximately harmonic projection: Theoretical analysis and an algorithm. Pattern Recognit. 43(10): 3307-3313 (2010)
2000 – 2009
- 2009
- [j5]Yalan Ye, Phillip C.-Y. Sheu, Jiazhi Zeng, Gang Wang, Ke Lu:
An efficient semi-blind source extraction algorithm and its applications to biomedical signal extraction. Sci. China Ser. F Inf. Sci. 52(10): 1863-1874 (2009) - 2008
- [j4]Jidong Zhao, Ke Lu, Xiaofei He:
Locality sensitive semi-supervised feature selection. Neurocomputing 71(10-12): 1842-1849 (2008) - 2006
- [j3]Ke Lu, Jidong Zhao, Deng Cai:
An algorithm for semi-supervised learning in image retrieval. Pattern Recognit. 39(4): 717-720 (2006) - [c3]Ke Lu, Xiaofei He, Jidong Zhao:
Semi-supervised Support Vector Learning for Face Recognition. ISNN (2) 2006: 104-109 - 2005
- [j2]Ke Lu, Xiaofei He:
Image retrieval based on incremental subspace learning. Pattern Recognit. 38(11): 2047-2054 (2005) - [c2]Ke Lu, Jidong Zhao, Mengqin Xia, Jiazhi Zeng:
Semi-supervised Learning for Image Retrieval Using Support Vector Machines. ISNN (1) 2005: 677-681 - 2004
- [j1]Wanli Min, Ke Lu, Xiaofei He:
Locality pursuit embedding. Pattern Recognit. 37(4): 781-788 (2004) - [c1]Ke Lu, Xiaofei He, Jiazhi Zeng:
Image Retrieval Using Dimensionality Reduction. CIS 2004: 775-781
Coauthor Index
[j45] [j44] [c33] [c32] [c31] [c30] [c29] [i13] [i12] [i11] [j43] [j42] [j41] [j40] [j39] [j38] [c28] [c26] [j37] [j36] [j35] [j34] [j33] [j32] [j31] [c25] [c24] [c22] [c21] [j30] [j29] [j28] [j27] [j26] [c20] [c19] [c18] [i10] [i9] [i8] [j25] [j24] [j23] [j22] [c17] [c16] [i7] [j21] [j20] [j19] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [i6] [i5] [i4] [i3] [i2] [i1] [j18] [c8] [c7] [j17] [j16] [j15] [c6] [c5] [j14] [c4] [j13]
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