Image Retrieval Using Dimensionality Reduction. - Ke Lu 001; Xiaofei He 001; Jiazhi Zeng (CIS, 2004)

Locality pursuit embedding. - Wanli Min; Ke Lu 001; Xiaofei He 001 (Pattern Recognit., 2004)

Semi-supervised Learning for Image Retrieval Using Support Vector Machines. - Ke Lu 001; Jidong Zhao; Mengqin Xia; Jiazhi Zeng (ISNN (1), 2005)

Image retrieval based on incremental subspace learning. - Ke Lu 001; Xiaofei He 001 (Pattern Recognit., 2005)

Semi-supervised Support Vector Learning for Face Recognition. - Ke Lu 001; Xiaofei He 001; Jidong Zhao (ISNN (2), 2006)

An algorithm for semi-supervised learning in image retrieval. - Ke Lu 001; Jidong Zhao; Deng Cai 001 (Pattern Recognit., 2006)

An Extraction Algorithm Based on Second-Order Statistics for Noisy Mixtures. - Yalan Ye; Jiazhi Zeng; Ke Lu 001 (FSKD (2), 2008)

Locality sensitive semi-supervised feature selection. - Jidong Zhao; Ke Lu 001; Xiaofei He 001 (Neurocomputing, 2008)

An efficient semi-blind source extraction algorithm and its applications to biomedical signal extraction. - Yalan Ye; Phillip C.-Y. Sheu; Jiazhi Zeng; Gang Wang; Ke Lu 001 (Sci. China Ser. F Inf. Sci., 2009)

Approximately harmonic projection: Theoretical analysis and an algorithm. - Binbin Lin; Xiaofei He 001; Yuan Zhou; Ligang Liu; Ke Lu 001 (Pattern Recognit., 2010)

Neighborhood preserving regression for image retrieval. - Ke Lu 001; Jidong Zhao (Neurocomputing, 2011)

Hessian optimal design for image retrieval. - Ke Lu 001; Jidong Zhao; Yue Wu (Pattern Recognit., 2011)

Locally connected graph embedding for semisupervised image classification. - Ke Lu 001; Zhengming Ding; Jidong Zhao (J. Electronic Imaging, 2012)

Sparse-Representation-Based Graph Embedding for Traffic Sign Recognition. - Ke Lu 001; Zhengming Ding; Sam S. Ge (IEEE Trans. Intell. Transp. Syst., 2012)

Locally connected graph for visual tracking. - Ke Lu 001; Zhengming Ding; Sam S. Ge (Neurocomputing, 2013)

G-Optimal Feature Selection with Laplacian regularization. - Guanhong Yao; Ke Lu 001; Xiaofei He 001 (Neurocomputing, 2013)

Robust Visual Tracking Using Sparse Discriminative Graph Embedding. - Jidong Zhao; Jingjing Li 001; Ke Lu 001 (IEICE Trans. Inf. Syst., 2015)

Joint Feature Selection and Structure Preservation for Domain Adaptation. - Jingjing Li 001; Jidong Zhao; Ke Lu 001 (IJCAI, 2016)

Multi-manifold Sparse Graph Embedding for Multi-modal Image Classification. - Jingjing Li 001; Yue Wu; Jidong Zhao; Ke Lu 001 (Neurocomputing, 2016)

Locality-Constrained Transfer Coding for Heterogeneous Domain Adaptation. - Jingjing Li 001; Ke Lu 001; Lei Zhu 002; Zhihui Li 001 (ADC, 2017)

Two Birds One Stone: On both Cold-Start and Long-Tail Recommendation. - Jingjing Li 001; Ke Lu 001; Zi Huang; Heng Tao Shen (ACM Multimedia, 2017)

Low-Rank Representation with Graph Constraints for Robust Visual Tracking. - Jieyan Liu; Ao Ma; Jingjing Li 001; Ke Lu 001 (IEICE Trans. Inf. Syst., 2017)

Structured Domain Adaptation. - Jingjing Li 001; Yue Wu; Ke Lu 001 (IEEE Trans. Circuits Syst. Video Technol., 2017)

Low-Rank Discriminant Embedding for Multiview Learning. - Jingjing Li 001; Yue Wu; Jidong Zhao; Ke Lu 001 (IEEE Trans. Cybern., 2017)

Learning Distribution-Matched Landmarks for Unsupervised Domain Adaptation. - Mengmeng Jing; Jingjing Li 001; Jidong Zhao; Ke Lu 001 (DASFAA (2), 2018)

I read, I saw, I tell: Texts Assisted Fine-Grained Visual Classification. - Jingjing Li 001; Lei Zhu 002; Zi Huang; Ke Lu 001; Jidong Zhao (ACM Multimedia, 2018)

Coupled local-global adaptation for multi-source transfer learning. - Jieyan Liu; Jingjing Li 001; Ke Lu 001 (Neurocomputing, 2018)

From Zero-Shot Learning to Cold-Start Recommendation. - Jingjing Li 001; Mengmeng Jing; Ke Lu 001; Lei Zhu 002; Yang Yang 002; Zi Huang (AAAI, 2019)

Leveraging the Invariant Side of Generative Zero-Shot Learning. - Jingjing Li 001; Mengmeng Jing; Ke Lu 001; Zhengming Ding; Lei Zhu 002; Zi Huang (CVPR, 2019)

A Domain Adaptation Approach for Multistream Classification. - Yue Xie; Jingjing Li 001; Mengmeng Jing; Ke Lu 001; Zi Huang (DASFAA (3), 2019)

Adaptive Component Embedding for Unsupervised Domain Adaptation. - Mengmeng Jing; Jingjing Li 001; Ke Lu 001; Jieyan Liu; Zi Huang (ICME, 2019)

Agile Domain Adaptation. - Jingjing Li 001; Mengmeng Jing; Yue Xie; Ke Lu 001; Zi Huang (IJCNN, 2019)

Cycle-consistent Conditional Adversarial Transfer Networks. - Jingjing Li 001; Erpeng Chen; Zhengming Ding; Lei Zhu 002; Ke Lu 001; Zi Huang (ACM Multimedia, 2019)

Alleviating Feature Confusion for Generative Zero-shot Learning. - Jingjing Li 001; Mengmeng Jing; Ke Lu 001; Lei Zhu 002; Yang Yang 002; Zi Huang (ACM Multimedia, 2019)

Transfer Independently Together: A Generalized Framework for Domain Adaptation. - Jingjing Li 001; Ke Lu 001; Zi Huang; Lei Zhu 002; Heng Tao Shen (IEEE Trans. Cybern., 2019)

Locality Preserving Joint Transfer for Domain Adaptation. - Jingjing Li 001; Mengmeng Jing; Ke Lu 001; Lei Zhu 002; Heng Tao Shen (IEEE Trans. Image Process., 2019)

Heterogeneous Domain Adaptation Through Progressive Alignment. - Jingjing Li 001; Ke Lu 001; Zi Huang; Lei Zhu 002; Heng Tao Shen (IEEE Trans. Neural Networks Learn. Syst., 2019)

Incomplete Cross-modal Retrieval with Dual-Aligned Variational Autoencoders. - Mengmeng Jing; Jingjing Li 001; Lei Zhu 002; Ke Lu 001; Yang Yang 002; Zi Huang (ACM Multimedia, 2020)

Learning Modality-Invariant Latent Representations for Generalized Zero-shot Learning. - Jingjing Li 001; Mengmeng Jing; Lei Zhu 002; Zhengming Ding; Ke Lu 001; Yang Yang 002 (ACM Multimedia, 2020)

Robust optimal graph clustering. - Fei Wang 055; Lei Zhu 002; Cheng Liang 001; Jingjing Li 001; Xiaojun Chang; Ke Lu 001 (Neurocomputing, 2020)

Multi-source domain adaptation with graph embedding and adaptive label prediction. - Ao Ma; Fuming You; Mengmeng Jing; Jingjing Li 001; Ke Lu 001 (Inf. Process. Manag., 2020)

Joint metric and feature representation learning for unsupervised domain adaptation. - Yue Xie; Zhekai Du; Jingjing Li 001; Mengmeng Jing; Erpeng Chen; Ke Lu 001 (Knowl. Based Syst., 2020)

Learning explicitly transferable representations for domain adaptation. - Mengmeng Jing; Jingjing Li 001; Ke Lu 001; Lei Zhu 002; Yang Yang 002 (Neural Networks, 2020)

Balanced Open Set Domain Adaptation via Centroid Alignment. - Mengmeng Jing; Jingjing Li 001; Lei Zhu 002; Zhengming Ding; Ke Lu 001; Yang Yang 002 (AAAI, 2021)

Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation. - Zhekai Du; Jingjing Li 001; Hongzu Su; Lei Zhu 002; Ke Lu 001 (CVPR, 2021)

Learning Transferrable and Interpretable Representations for Domain Generalization. - Zhekai Du; Jingjing Li 001; Ke Lu 001; Lei Zhu 002; Zi Huang (ACM Multimedia, 2021)

Adversarial Energy Disaggregation for Non-intrusive Load Monitoring. - Zhekai Du; Jingjing Li 001; Lei Zhu 002; Ke Lu 001; Heng Tao Shen (CoRR, 2021)

Domain Adaptive Semantic Segmentation without Source Data. - Fuming You; Jingjing Li 001; Lei Zhu 002; Ke Lu 001; Zhi Chen 010; Zi Huang (CoRR, 2021)

Learning a Weighted Classifier for Conditional Domain Adaptation. - Fuming You; Hongzu Su; Jingjing Li 001; Lei Zhu 002; Ke Lu 001; Yang Yang 002 (Knowl. Based Syst., 2021)

Maximum Density Divergence for Domain Adaptation. - Jingjing Li 001; Erpeng Chen; Zhengming Ding; Lei Zhu 002; Ke Lu 001; Heng Tao Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Challenging tough samples in unsupervised domain adaptation. - Lin Zuo; Mengmeng Jing; Jingjing Li 001; Lei Zhu 002; Ke Lu 001; Yang Yang 002 (Pattern Recognit., 2021)

Adversarial Energy Disaggregation. - Zhekai Du; Jingjing Li 001; Lei Zhu 002; Ke Lu 001; Heng Tao Shen (Trans. Data Sci., 2021)

On Both Cold-Start and Long-Tail Recommendation with Social Data. - Jingjing Li 001; Ke Lu 001; Zi Huang; Heng Tao Shen (IEEE Trans. Knowl. Data Eng., 2021)

Distinguishing Unseen from Seen for Generalized Zero-shot Learning. - Hongzu Su; Jingjing Li 001; Zhi Chen 010; Lei Zhu 002; Ke Lu 001 (CVPR, 2022)

Towards Distributed Communication and Control in Real-World Multi-Agent Reinforcement Learning. - Jieyan Liu; Yi Liu; Zhekai Du; Ke Lu 001 (ICC, 2022)

Cross-Domain Communications Between Agents Via Adversarial-Based Domain Adaptation in Reinforcement Learning. - Lichao Meng; Jingjing Li 001; Ke Lu 001 (ICC, 2022)

Energy-Based Domain Generalization for Face Anti-Spoofing. - Zhekai Du; Jingjing Li 001; Lin Zuo; Lei Zhu 002; Ke Lu 001 (ACM Multimedia, 2022)

Source-Free Active Domain Adaptation via Energy-Based Locality Preserving Transfer. - Xinyao Li; Zhekai Du; Jingjing Li 001; Lei Zhu 002; Ke Lu 001 (ACM Multimedia, 2022)

Domain adaptive state representation alignment for reinforcement learning. - Dongfen Li; Lichao Meng; Jingjing Li 001; Ke Lu 001; Yang Yang 002 (Inf. Sci., 2022)

Divergence-Agnostic Unsupervised Domain Adaptation by Adversarial Attacks. - Jingjing Li 001; Zhekai Du; Lei Zhu 002; Zhengming Ding; Ke Lu 001; Heng Tao Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Investigating the Bilateral Connections in Generative Zero-Shot Learning. - Jingjing Li 001; Mengmeng Jing; Ke Lu 001; Lei Zhu 002; Heng Tao Shen (IEEE Trans. Cybern., 2022)

Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction. - Kangkai Wu; Jingjing Li 001; Lin Zuo; Ke Lu 001; Heng Tao Shen (IEEE Trans. Instrum. Meas., 2022)

Faster Domain Adaptation Networks. - Jingjing Li 001; Mengmeng Jing; Hongzu Su; Ke Lu 001; Lei Zhu 002; Heng Tao Shen (IEEE Trans. Knowl. Data Eng., 2022)

Adversarial Entropy Optimization for Unsupervised Domain Adaptation. - Ao Ma; Jingjing Li 001; Ke Lu 001; Lei Zhu 002; Heng Tao Shen (IEEE Trans. Neural Networks Learn. Syst., 2022)

Resource-Efficient Distributed Deep Neural Networks Empowered by Intelligent Software-Defined Networking. - Ke Lu 001; Zhekai Du; Jingjing Li 001; Geyong Min (IEEE Trans. Netw. Serv. Manag., 2022)

Cross-Domain Adaptative Learning for Online Advertisement Customer Lifetime Value Prediction. - Hongzu Su; Zhekai Du; Jingjing Li 001; Lei Zhu 002; Ke Lu 001 (AAAI, 2023)

Exploring Low-Dimensional Manifolds of Deep Neural Network Parameters for Improved Model Optimization. - Ke Lu 001; Xiaotong He; Ze Qin; Xinyao Li; Zhekai Du (CIKM, 2023)

Task-Adversarial Adaptation for Multi-modal Recommendation. - Hongzu Su; Jingjing Li 001; Fengling Li 001; Lei Zhu 002; Ke Lu 001; Yang Yang 002 (ACM Multimedia, 2023)

Manifold Regularized Joint Transfer for Open Set Domain Adaptation. - Jieyan Liu; Hongcai He; Mingzhu Liu; Jingjing Li 001; Ke Lu 001 (IEEE Trans. Multim., 2023)

Uneven Bi-Classifier Learning for Domain Adaptation. - Zhiqi Yu; Jingjing Li 001; Lei Zhu 002; Ke Lu 001; Heng Tao Shen (IEEE Trans. Circuits Syst. Video Technol., 2023)

Dual-Aligned Feature Confusion Alleviation for Generalized Zero-Shot Learning. - Hongzu Su; Jingjing Li 001; Ke Lu 001; Lei Zhu 002; Heng Tao Shen (IEEE Trans. Circuits Syst. Video Technol., 2023)

Classification Certainty Maximization for Unsupervised Domain Adaptation. - Zhiqi Yu; Jingjing Li 001; Lei Zhu 002; Ke Lu 001; Heng Tao Shen (IEEE Trans. Circuits Syst. Video Technol., 2023)

Open Set Domain Adaptation via Joint Alignment and Category Separation. - Jieyan Liu; Mengmeng Jing; Jingjing Li 001; Ke Lu 001; Heng Tao Shen (IEEE Trans. Neural Networks Learn. Syst., 2023)

Continuous-time graph directed information maximization for temporal network representation. - Chenming Yang; Jingjing Li 001; Ke Lu 001; Bryan Hooi; Liang Zhou 003 (Inf. Sci., 2023)

Agile Multi-Source-Free Domain Adaptation. - Xinyao Li; Jingjing Li 001; Fengling Li 001; Lei Zhu 002; Ke Lu 001 (AAAI, 2024)

Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation. - Zhekai Du; Xinyao Li; Fengling Li 001; Ke Lu 001; Lei Zhu 002; Jingjing Li 001 (CVPR, 2024)

Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation. - Xinyao Li; Yuke Li; Zhekai Du; Fengling Li 001; Ke Lu 001; Jingjing Li 001 (CVPR, 2024)

SOIL: Contrastive Second-Order Interest Learning for Multimodal Recommendation. - Hongzu Su; Jingjing Li 001; Fengling Li 001; Ke Lu 001; Lei Zhu 002 (ACM Multimedia, 2024)

DDPO: Direct Dual Propensity Optimization for Post-Click Conversion Rate Estimation. - Hongzu Su; Lichao Meng; Lei Zhu 002; Ke Lu 001; Jingjing Li 001 (SIGIR, 2024)

Visually Source-Free Domain Adaptation via Adversarial Style Matching. - Mengmeng Jing; Jingjing Li 001; Ke Lu 001; Lei Zhu 002; Heng Tao Shen (IEEE Trans. Image Process., 2024)

Cross-domain Recommendation via Dual Adversarial Adaptation. - Hongzu Su; Jingjing Li 001; Zhekai Du; Lei Zhu 002; Ke Lu 001; Heng Tao Shen (ACM Trans. Inf. Syst., 2024)

Online Adaptive Fault Diagnosis With Test-Time Domain Adaptation. - Kangkai Wu; Jingjing Li 001; Lichao Meng; Fengling Li 001; Ke Lu 001 (IEEE Trans. Ind. Informatics, 2025)