Ke Lu

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 71

Top Topics

Visual Classification

Graph Embedding

Reinforcement Learning

Domain Adaptation

Top Venues

IEEE Trans. Circuits Syst. Video Technol.

Publications

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 (2024)
Xinyao Li, Jingjing Li, Fengling Li, Lei Zhu, Ke Lu
Agile Multi-Source-Free Domain Adaptation. AAAI (2024)
Zhekai Du, Xinyao Li, Fengling Li, Ke Lu, Lei Zhu, Jingjing Li
Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation. CoRR (2024)
Hongzu Su, Lichao Meng, Lei Zhu, Ke Lu, Jingjing Li
DDPO: Direct Dual Propensity Optimization for Post-Click Conversion Rate Estimation. SIGIR (2024)
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) (2024)
Xinyao Li, Yuke Li, Zhekai Du, Fengling Li, Ke Lu, Jingjing Li
Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation. CoRR (2024)
Xinyao Li, Jingjing Li, Fengling Li, Lei Zhu, Ke Lu
Agile Multi-Source-Free Domain Adaptation. CoRR (2024)
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) (2023)
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) (2023)
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) (2023)
Jieyan Liu, Hongcai He, Mingzhu Liu, Jingjing Li, Ke Lu
Manifold Regularized Joint Transfer for Open Set Domain Adaptation. IEEE Trans. Multim. 25 (2023)
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) (2023)
Hongzu Su, Zhekai Du, Jingjing Li, Lei Zhu, Ke Lu
Cross-Domain Adaptative Learning for Online Advertisement Customer Lifetime Value Prediction. AAAI (2023)
Chenming Yang, Jingjing Li, Ke Lu, Bryan Hooi, Liang Zhou
Continuous-time graph directed information maximization for temporal network representation. Inf. Sci. 644 (2023)
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)
Hongzu Su, Jingjing Li, Fengling Li, Lei Zhu, Ke Lu, Yang Yang
Task-Adversarial Adaptation for Multi-modal Recommendation. ACM Multimedia (2023)
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) (2022)
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 (2022)
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) (2022)
Lichao Meng, Jingjing Li, Ke Lu
Cross-Domain Communications Between Agents Via Adversarial-Based Domain Adaptation in Reinforcement Learning. ICC (2022)
Hongzu Su, Jingjing Li, Zhi Chen, Lei Zhu, Ke Lu
Distinguishing Unseen from Seen for Generalized Zero-shot Learning. CVPR (2022)
Zhekai Du, Jingjing Li, Lin Zuo, Lei Zhu, Ke Lu
Energy-Based Domain Generalization for Face Anti-Spoofing. ACM Multimedia (2022)
Dongfen Li, Lichao Meng, Jingjing Li, Ke Lu, Yang Yang
Domain adaptive state representation alignment for reinforcement learning. Inf. Sci. 609 (2022)
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) (2022)
Jingjing Li, Mengmeng Jing, Hongzu Su, Ke Lu, Lei Zhu, Heng Tao Shen
Faster Domain Adaptation Networks. IEEE Trans. Knowl. Data Eng. 34 (12) (2022)
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) (2022)
Jieyan Liu, Yi Liu, Zhekai Du, Ke Lu
Towards Distributed Communication and Control in Real-World Multi-Agent Reinforcement Learning. ICC (2022)
Lin Zuo, Mengmeng Jing, Jingjing Li, Lei Zhu, Ke Lu, Yang Yang
Challenging tough samples in unsupervised domain adaptation. Pattern Recognit. 110 (2021)
Fuming You, Hongzu Su, Jingjing Li, Lei Zhu, Ke Lu, Yang Yang
Learning a Weighted Classifier for Conditional Domain Adaptation. Knowl. Based Syst. 215 (2021)
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) (2021)
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) (2021)
Zhekai Du, Jingjing Li, Lei Zhu, Ke Lu, Heng Tao Shen
Adversarial Energy Disaggregation for Non-intrusive Load Monitoring. CoRR (2021)
Zhekai Du, Jingjing Li, Hongzu Su, Lei Zhu, Ke Lu
Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation. CoRR (2021)
Mengmeng Jing, Jingjing Li, Lei Zhu, Zhengming Ding, Ke Lu, Yang Yang
Balanced Open Set Domain Adaptation via Centroid Alignment. AAAI (2021)
Zhekai Du, Jingjing Li, Ke Lu, Lei Zhu, Zi Huang
Learning Transferrable and Interpretable Representations for Domain Generalization. ACM Multimedia (2021)
Zhekai Du, Jingjing Li, Hongzu Su, Lei Zhu, Ke Lu
Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation. CVPR (2021)
Zhekai Du, Jingjing Li, Lei Zhu, Ke Lu, Heng Tao Shen
Adversarial Energy Disaggregation. Trans. Data Sci. 2 (4) (2021)
Fuming You, Jingjing Li, Lei Zhu, Ke Lu, Zhi Chen, Zi Huang
Domain Adaptive Semantic Segmentation without Source Data. CoRR (2021)
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)
Fei Wang, Lei Zhu, Cheng Liang, Jingjing Li, Xiaojun Chang, Ke Lu
Robust optimal graph clustering. Neurocomputing 378 (2020)
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) (2020)
Mengmeng Jing, Jingjing Li, Lei Zhu, Ke Lu, Yang Yang, Zi Huang
Incomplete Cross-modal Retrieval with Dual-Aligned Variational Autoencoders. ACM Multimedia (2020)
Jingjing Li, Erpeng Chen, Zhengming Ding, Lei Zhu, Ke Lu, Heng Tao Shen
Maximum Density Divergence for Domain Adaptation. CoRR (2020)
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 (2020)
Mengmeng Jing, Jingjing Li, Ke Lu, Lei Zhu, Yang Yang
Learning explicitly transferable representations for domain adaptation. Neural Networks 130 (2020)
Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang
Alleviating Feature Confusion for Generative Zero-shot Learning. ACM Multimedia (2019)
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) (2019)
Jingjing Li, Mengmeng Jing, Ke Lu, Zhengming Ding, Lei Zhu, Zi Huang
Leveraging the Invariant Side of Generative Zero-Shot Learning. CVPR (2019)
Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang
Alleviating Feature Confusion for Generative Zero-shot Learning. CoRR (2019)
Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang
From Zero-Shot Learning to Cold-Start Recommendation. AAAI (2019)
Mengmeng Jing, Jingjing Li, Ke Lu, Jieyan Liu, Zi Huang
Adaptive Component Embedding for Unsupervised Domain Adaptation. ICME (2019)
Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang
From Zero-Shot Learning to Cold-Start Recommendation. CoRR (2019)
Jingjing Li, Mengmeng Jing, Ke Lu, Zhengming Ding, Lei Zhu, Zi Huang
Leveraging the Invariant Side of Generative Zero-Shot Learning. CoRR (2019)
Jingjing Li, Erpeng Chen, Zhengming Ding, Lei Zhu, Ke Lu, Zi Huang
Cycle-consistent Conditional Adversarial Transfer Networks. ACM Multimedia (2019)
Jingjing Li, Mengmeng Jing, Yue Xie, Ke Lu, Zi Huang
Agile Domain Adaptation. CoRR (2019)
Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Heng Tao Shen
Locality Preserving Joint Transfer for Domain Adaptation. CoRR (2019)
Jingjing Li, Mengmeng Jing, Yue Xie, Ke Lu, Zi Huang
Agile Domain Adaptation. IJCNN (2019)
Jingjing Li, Erpeng Chen, Zhengming Ding, Lei Zhu, Ke Lu, Zi Huang
Cycle-consistent Conditional Adversarial Transfer Networks. CoRR (2019)
Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Heng Tao Shen
Locality Preserving Joint Transfer for Domain Adaptation. IEEE Trans. Image Process. 28 (12) (2019)
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) (2019)
Yue Xie, Jingjing Li, Mengmeng Jing, Ke Lu, Zi Huang
A Domain Adaptation Approach for Multistream Classification. DASFAA (3) (2019)
Mengmeng Jing, Jingjing Li, Jidong Zhao, Ke Lu
Learning Distribution-Matched Landmarks for Unsupervised Domain Adaptation. DASFAA (2) (2018)
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)
Jieyan Liu, Jingjing Li, Ke Lu
Coupled local-global adaptation for multi-source transfer learning. Neurocomputing 275 (2018)
Jingjing Li, Yue Wu, Ke Lu
Structured Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 27 (8) (2017)
Jieyan Liu, Ao Ma, Jingjing Li, Ke Lu
Low-Rank Representation with Graph Constraints for Robust Visual Tracking. IEICE Trans. Inf. Syst. (6) (2017)
Jingjing Li, Ke Lu, Lei Zhu, Zhihui Li
Locality-Constrained Transfer Coding for Heterogeneous Domain Adaptation. ADC (2017)
Jingjing Li, Ke Lu, Zi Huang, Heng Tao Shen
Two Birds One Stone: On both Cold-Start and Long-Tail Recommendation. ACM Multimedia (2017)
Jingjing Li, Yue Wu, Jidong Zhao, Ke Lu
Low-Rank Discriminant Embedding for Multiview Learning. IEEE Trans. Cybern. 47 (11) (2017)
Jingjing Li, Jidong Zhao, Ke Lu
Joint Feature Selection and Structure Preservation for Domain Adaptation. IJCAI (2016)
Jingjing Li, Yue Wu, Jidong Zhao, Ke Lu
Multi-manifold Sparse Graph Embedding for Multi-modal Image Classification. Neurocomputing 173 (2016)
Jidong Zhao, Jingjing Li, Ke Lu
Robust Visual Tracking Using Sparse Discriminative Graph Embedding. IEICE Trans. Inf. Syst. (4) (2015)
Guanhong Yao, Ke Lu, Xiaofei He
G-Optimal Feature Selection with Laplacian regularization. Neurocomputing 119 (2013)
Ke Lu, Zhengming Ding, Sam S. Ge
Locally connected graph for visual tracking. Neurocomputing 120 (2013)
Ke Lu, Zhengming Ding, Sam S. Ge
Sparse-Representation-Based Graph Embedding for Traffic Sign Recognition. IEEE Trans. Intell. Transp. Syst. 13 (4) (2012)
Ke Lu, Zhengming Ding, Jidong Zhao
Locally connected graph embedding for semisupervised image classification. J. Electronic Imaging 21 (4) (2012)
Ke Lu, Jidong Zhao, Yue Wu
Hessian optimal design for image retrieval. Pattern Recognit. 44 (6) (2011)
Ke Lu, Jidong Zhao
Neighborhood preserving regression for image retrieval. Neurocomputing 74 (9) (2011)
Binbin Lin, Xiaofei He, Yuan Zhou, Ligang Liu, Ke Lu
Approximately harmonic projection: Theoretical analysis and an algorithm. Pattern Recognit. 43 (10) (2010)
Jidong Zhao, Ke Lu, Xiaofei He
Locality sensitive semi-supervised feature selection. Neurocomputing 71 (10-12) (2008)
Ke Lu, Jidong Zhao, Deng Cai
An algorithm for semi-supervised learning in image retrieval. Pattern Recognit. 39 (4) (2006)
Ke Lu, Xiaofei He, Jidong Zhao
Semi-supervised Support Vector Learning for Face Recognition. ISNN (2) (2006)
Ke Lu, Xiaofei He
Image retrieval based on incremental subspace learning. Pattern Recognit. 38 (11) (2005)
Ke Lu, Jidong Zhao, Mengqin Xia, Jiazhi Zeng
Semi-supervised Learning for Image Retrieval Using Support Vector Machines. ISNN (1) (2005)
Wanli Min, Ke Lu, Xiaofei He
Locality pursuit embedding. Pattern Recognit. 37 (4) (2004)
Ke Lu, Xiaofei He, Jiazhi Zeng
Image Retrieval Using Dimensionality Reduction. CIS (2004)