Ke Lu

95 papers A* 23A 2B 1C 1Misc 1Journal 60Unranked 7
YearRankTypeTitle / Venue / Authors
2025 A* conf
LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning.
ICLR
Zhekai Du, Yinjie Min, Jingjing Li, Ke Lu, Changliang Zou, Liuhua Peng, Tingjin Chu, Mingming Gong
2025 J jnl
LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning.
CoRR
Zhekai Du, Yinjie Min, Jingjing Li, Ke Lu, Changliang Zou, Liuhua Peng, Tingjin Chu, Mingming Gong
2025 J jnl
Online Adaptive Fault Diagnosis With Test-Time Domain Adaptation.
IEEE Trans. Ind. Informatics
Kangkai Wu, Jingjing Li, Lichao Meng, Fengling Li, Ke Lu
2024 A* conf
Agile Multi-Source-Free Domain Adaptation.
AAAI
Xinyao Li, Jingjing Li, Fengling Li, Lei Zhu, Ke Lu
2024 J jnl
Agile Multi-Source-Free Domain Adaptation.
CoRR
Xinyao Li, Jingjing Li, Fengling Li, Lei Zhu, Ke Lu
2024 J jnl
Cross-domain Recommendation via Dual Adversarial Adaptation.
ACM Trans. Inf. Syst.
Hongzu Su, Jingjing Li, Zhekai Du, Lei Zhu, Ke Lu, Heng Tao Shen
2024 A* conf
DDPO: Direct Dual Propensity Optimization for Post-Click Conversion Rate Estimation.
SIGIR
Hongzu Su, Lichao Meng, Lei Zhu, Ke Lu, Jingjing Li
2024 A* conf
Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation.
CVPR
Zhekai Du, Xinyao Li, Fengling Li, Ke Lu, Lei Zhu, Jingjing Li
2024 J jnl
Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation.
CoRR
Zhekai Du, Xinyao Li, Fengling Li, Ke Lu, Lei Zhu, Jingjing Li
2024 A* conf
SOIL: Contrastive Second-Order Interest Learning for Multimodal Recommendation.
ACM Multimedia
Hongzu Su, Jingjing Li, Fengling Li, Ke Lu, Lei Zhu
2024 A* conf
Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation.
CVPR
Xinyao Li, Yuke Li, Zhekai Du, Fengling Li, Ke Lu, Jingjing Li
2024 J jnl
Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation.
CoRR
Xinyao Li, Yuke Li, Zhekai Du, Fengling Li, Ke Lu, Jingjing Li
2024 J jnl
Visually Source-Free Domain Adaptation via Adversarial Style Matching.
IEEE Trans. Image Process.
Mengmeng Jing, Jingjing Li, Ke Lu, Lei Zhu, Heng Tao Shen
2023 J jnl
Classification Certainty Maximization for Unsupervised Domain Adaptation.
IEEE Trans. Circuits Syst. Video Technol.
Zhiqi Yu, Jingjing Li, Lei Zhu, Ke Lu, Heng Tao Shen
2023 J jnl
Continuous-time graph directed information maximization for temporal network representation.
Inf. Sci.
Chenming Yang, Jingjing Li, Ke Lu, Bryan Hooi, Liang Zhou
2023 A* conf
Cross-Domain Adaptative Learning for Online Advertisement Customer Lifetime Value Prediction.
AAAI
Hongzu Su, Zhekai Du, Jingjing Li, Lei Zhu, Ke Lu
2023 J jnl
Dual-Aligned Feature Confusion Alleviation for Generalized Zero-Shot Learning.
IEEE Trans. Circuits Syst. Video Technol.
Hongzu Su, Jingjing Li, Ke Lu, Lei Zhu, Heng Tao Shen
2023 A conf
Exploring Low-Dimensional Manifolds of Deep Neural Network Parameters for Improved Model Optimization.
CIKM
Ke Lu, Xiaotong He, Ze Qin, Xinyao Li, Zhekai Du
2023 J jnl
Manifold Regularized Joint Transfer for Open Set Domain Adaptation.
IEEE Trans. Multim.
Jieyan Liu, Hongcai He, Mingzhu Liu, Jingjing Li, Ke Lu
2023 J jnl
Open Set Domain Adaptation via Joint Alignment and Category Separation.
IEEE Trans. Neural Networks Learn. Syst.
Jieyan Liu, Mengmeng Jing, Jingjing Li, Ke Lu, Heng Tao Shen
2023 A* conf
Task-Adversarial Adaptation for Multi-modal Recommendation.
ACM Multimedia
Hongzu Su, Jingjing Li, Fengling Li, Lei Zhu, Ke Lu, Yang Yang
2023 J jnl
Uneven Bi-Classifier Learning for Domain Adaptation.
IEEE Trans. Circuits Syst. Video Technol.
Zhiqi Yu, Jingjing Li, Lei Zhu, Ke Lu, Heng Tao Shen
2022 J jnl
Adversarial Entropy Optimization for Unsupervised Domain Adaptation.
IEEE Trans. Neural Networks Learn. Syst.
Ao Ma, Jingjing Li, Ke Lu, Lei Zhu, Heng Tao Shen
2022 — conf
Cross-Domain Communications Between Agents Via Adversarial-Based Domain Adaptation in Reinforcement Learning.
ICC
Lichao Meng, Jingjing Li, Ke Lu
2022 A* conf
Distinguishing Unseen from Seen for Generalized Zero-shot Learning.
CVPR
Hongzu Su, Jingjing Li, Zhi Chen, Lei Zhu, Ke Lu
2022 J jnl
Divergence-Agnostic Unsupervised Domain Adaptation by Adversarial Attacks.
IEEE Trans. Pattern Anal. Mach. Intell.
Jingjing Li, Zhekai Du, Lei Zhu, Zhengming Ding, Ke Lu, Heng Tao Shen
2022 J jnl
Domain adaptive state representation alignment for reinforcement learning.
Inf. Sci.
Dongfen Li, Lichao Meng, Jingjing Li, Ke Lu, Yang Yang
2022 A* conf
Energy-Based Domain Generalization for Face Anti-Spoofing.
ACM Multimedia
Zhekai Du, Jingjing Li, Lin Zuo, Lei Zhu, Ke Lu
2022 J jnl
Faster Domain Adaptation Networks.
IEEE Trans. Knowl. Data Eng.
Jingjing Li, Mengmeng Jing, Hongzu Su, Ke Lu, Lei Zhu, Heng Tao Shen
2022 J jnl
Investigating the Bilateral Connections in Generative Zero-Shot Learning.
IEEE Trans. Cybern.
Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Heng Tao Shen
2022 J jnl
Resource-Efficient Distributed Deep Neural Networks Empowered by Intelligent Software-Defined Networking.
IEEE Trans. Netw. Serv. Manag.
Ke Lu, Zhekai Du, Jingjing Li, Geyong Min
2022 A* conf
Source-Free Active Domain Adaptation via Energy-Based Locality Preserving Transfer.
ACM Multimedia
Xinyao Li, Zhekai Du, Jingjing Li, Lei Zhu, Ke Lu
2022 — conf
Towards Distributed Communication and Control in Real-World Multi-Agent Reinforcement Learning.
ICC
Jieyan Liu, Yi Liu, Zhekai Du, Ke Lu
2022 J jnl
Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction.
IEEE Trans. Instrum. Meas.
Kangkai Wu, Jingjing Li, Lin Zuo, Ke Lu, Heng Tao Shen
2021 J jnl
Adversarial Energy Disaggregation for Non-intrusive Load Monitoring.
CoRR
Zhekai Du, Jingjing Li, Lei Zhu, Ke Lu, Heng Tao Shen
2021 J jnl
Adversarial Energy Disaggregation.
Trans. Data Sci.
Zhekai Du, Jingjing Li, Lei Zhu, Ke Lu, Heng Tao Shen
2021 A* conf
Balanced Open Set Domain Adaptation via Centroid Alignment.
AAAI
Mengmeng Jing, Jingjing Li, Lei Zhu, Zhengming Ding, Ke Lu, Yang Yang
2021 J jnl
Challenging tough samples in unsupervised domain adaptation.
Pattern Recognit.
Lin Zuo, Mengmeng Jing, Jingjing Li, Lei Zhu, Ke Lu, Yang Yang
2021 A* conf
Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation.
CVPR
Zhekai Du, Jingjing Li, Hongzu Su, Lei Zhu, Ke Lu
2021 J jnl
Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation.
CoRR
Zhekai Du, Jingjing Li, Hongzu Su, Lei Zhu, Ke Lu
2021 J jnl
Domain Adaptive Semantic Segmentation without Source Data.
CoRR
Fuming You, Jingjing Li, Lei Zhu, Ke Lu, Zhi Chen, Zi Huang
2021 A* conf
Learning Transferrable and Interpretable Representations for Domain Generalization.
ACM Multimedia
Zhekai Du, Jingjing Li, Ke Lu, Lei Zhu, Zi Huang
2021 J jnl
Learning a Weighted Classifier for Conditional Domain Adaptation.
Knowl. Based Syst.
Fuming You, Hongzu Su, Jingjing Li, Lei Zhu, Ke Lu, Yang Yang
2021 J jnl
Maximum Density Divergence for Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell.
Jingjing Li, Erpeng Chen, Zhengming Ding, Lei Zhu, Ke Lu, Heng Tao Shen
2021 J jnl
On Both Cold-Start and Long-Tail Recommendation with Social Data.
IEEE Trans. Knowl. Data Eng.
Jingjing Li, Ke Lu, Zi Huang, Heng Tao Shen
2020 A* conf
Incomplete Cross-modal Retrieval with Dual-Aligned Variational Autoencoders.
ACM Multimedia
Mengmeng Jing, Jingjing Li, Lei Zhu, Ke Lu, Yang Yang, Zi Huang
2020 J jnl
Joint metric and feature representation learning for unsupervised domain adaptation.
Knowl. Based Syst.
Yue Xie, Zhekai Du, Jingjing Li, Mengmeng Jing, Erpeng Chen, Ke Lu
2020 A* conf
Learning Modality-Invariant Latent Representations for Generalized Zero-shot Learning.
ACM Multimedia
Jingjing Li, Mengmeng Jing, Lei Zhu, Zhengming Ding, Ke Lu, Yang Yang
2020 J jnl
Learning explicitly transferable representations for domain adaptation.
Neural Networks
Mengmeng Jing, Jingjing Li, Ke Lu, Lei Zhu, Yang Yang
2020 J jnl
Maximum Density Divergence for Domain Adaptation.
CoRR
Jingjing Li, Erpeng Chen, Zhengming Ding, Lei Zhu, Ke Lu, Heng Tao Shen
2020 J jnl
Multi-source domain adaptation with graph embedding and adaptive label prediction.
Inf. Process. Manag.
Ao Ma, Fuming You, Mengmeng Jing, Jingjing Li, Ke Lu
2020 J jnl
Robust optimal graph clustering.
Neurocomputing
Fei Wang, Lei Zhu, Cheng Liang, Jingjing Li, Xiaojun Chang, Ke Lu
2019 — conf
A Domain Adaptation Approach for Multistream Classification.
DASFAA (3)
Yue Xie, Jingjing Li, Mengmeng Jing, Ke Lu, Zi Huang
2019 A conf
Adaptive Component Embedding for Unsupervised Domain Adaptation.
ICME
Mengmeng Jing, Jingjing Li, Ke Lu, Jieyan Liu, Zi Huang
2019 B conf
Agile Domain Adaptation.
IJCNN
Jingjing Li, Mengmeng Jing, Yue Xie, Ke Lu, Zi Huang
2019 J jnl
Agile Domain Adaptation.
CoRR
Jingjing Li, Mengmeng Jing, Yue Xie, Ke Lu, Zi Huang
2019 A* conf
Alleviating Feature Confusion for Generative Zero-shot Learning.
ACM Multimedia
Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang
2019 J jnl
Alleviating Feature Confusion for Generative Zero-shot Learning.
CoRR
Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang
2019 A* conf
Cycle-consistent Conditional Adversarial Transfer Networks.
ACM Multimedia
Jingjing Li, Erpeng Chen, Zhengming Ding, Lei Zhu, Ke Lu, Zi Huang
2019 J jnl
Cycle-consistent Conditional Adversarial Transfer Networks.
CoRR
Jingjing Li, Erpeng Chen, Zhengming Ding, Lei Zhu, Ke Lu, Zi Huang
2019 A* conf
From Zero-Shot Learning to Cold-Start Recommendation.
AAAI
Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang
2019 J jnl
From Zero-Shot Learning to Cold-Start Recommendation.
CoRR
Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Yang Yang, Zi Huang
2019 J jnl
Heterogeneous Domain Adaptation Through Progressive Alignment.
IEEE Trans. Neural Networks Learn. Syst.
Jingjing Li, Ke Lu, Zi Huang, Lei Zhu, Heng Tao Shen
2019 A* conf
Leveraging the Invariant Side of Generative Zero-Shot Learning.
CVPR
Jingjing Li, Mengmeng Jing, Ke Lu, Zhengming Ding, Lei Zhu, Zi Huang
2019 J jnl
Leveraging the Invariant Side of Generative Zero-Shot Learning.
CoRR
Jingjing Li, Mengmeng Jing, Ke Lu, Zhengming Ding, Lei Zhu, Zi Huang
2019 J jnl
Locality Preserving Joint Transfer for Domain Adaptation.
CoRR
Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Heng Tao Shen
2019 J jnl
Locality Preserving Joint Transfer for Domain Adaptation.
IEEE Trans. Image Process.
Jingjing Li, Mengmeng Jing, Ke Lu, Lei Zhu, Heng Tao Shen
2019 J jnl
Transfer Independently Together: A Generalized Framework for Domain Adaptation.
IEEE Trans. Cybern.
Jingjing Li, Ke Lu, Zi Huang, Lei Zhu, Heng Tao Shen
2018 J jnl
Coupled local-global adaptation for multi-source transfer learning.
Neurocomputing
Jieyan Liu, Jingjing Li, Ke Lu
2018 A* conf
I read, I saw, I tell: Texts Assisted Fine-Grained Visual Classification.
ACM Multimedia
Jingjing Li, Lei Zhu, Zi Huang, Ke Lu, Jidong Zhao
2018 — conf
Learning Distribution-Matched Landmarks for Unsupervised Domain Adaptation.
DASFAA (2)
Mengmeng Jing, Jingjing Li, Jidong Zhao, Ke Lu
2017 Misc conf
Locality-Constrained Transfer Coding for Heterogeneous Domain Adaptation.
ADC
Jingjing Li, Ke Lu, Lei Zhu, Zhihui Li
2017 J jnl
Low-Rank Discriminant Embedding for Multiview Learning.
IEEE Trans. Cybern.
Jingjing Li, Yue Wu, Jidong Zhao, Ke Lu
2017 J jnl
Low-Rank Representation with Graph Constraints for Robust Visual Tracking.
IEICE Trans. Inf. Syst.
Jieyan Liu, Ao Ma, Jingjing Li, Ke Lu
2017 J jnl
Structured Domain Adaptation.
IEEE Trans. Circuits Syst. Video Technol.
Jingjing Li, Yue Wu, Ke Lu
2017 A* conf
Two Birds One Stone: On both Cold-Start and Long-Tail Recommendation.
ACM Multimedia
Jingjing Li, Ke Lu, Zi Huang, Heng Tao Shen
2016 A* conf
Joint Feature Selection and Structure Preservation for Domain Adaptation.
IJCAI
Jingjing Li, Jidong Zhao, Ke Lu
2016 J jnl
Multi-manifold Sparse Graph Embedding for Multi-modal Image Classification.
Neurocomputing
Jingjing Li, Yue Wu, Jidong Zhao, Ke Lu
2015 J jnl
Robust Visual Tracking Using Sparse Discriminative Graph Embedding.
IEICE Trans. Inf. Syst.
Jidong Zhao, Jingjing Li, Ke Lu
2013 J jnl
G-Optimal Feature Selection with Laplacian regularization.
Neurocomputing
Guanhong Yao, Ke Lu, Xiaofei He
2013 J jnl
Locally connected graph for visual tracking.
Neurocomputing
Ke Lu, Zhengming Ding, Sam S. Ge
2012 J jnl
Locally connected graph embedding for semisupervised image classification.
J. Electronic Imaging
Ke Lu, Zhengming Ding, Jidong Zhao
2012 J jnl
Sparse-Representation-Based Graph Embedding for Traffic Sign Recognition.
IEEE Trans. Intell. Transp. Syst.
Ke Lu, Zhengming Ding, Sam S. Ge
2011 J jnl
Hessian optimal design for image retrieval.
Pattern Recognit.
Ke Lu, Jidong Zhao, Yue Wu
2011 J jnl
Neighborhood preserving regression for image retrieval.
Neurocomputing
Ke Lu, Jidong Zhao
2010 J jnl
Approximately harmonic projection: Theoretical analysis and an algorithm.
Pattern Recognit.
Binbin Lin, Xiaofei He, Yuan Zhou, Ligang Liu, Ke Lu
2009 J jnl
An efficient semi-blind source extraction algorithm and its applications to biomedical signal extraction.
Sci. China Ser. F Inf. Sci.
Yalan Ye, Phillip C.-Y. Sheu, Jiazhi Zeng, Gang Wang, Ke Lu
2008 — conf
An Extraction Algorithm Based on Second-Order Statistics for Noisy Mixtures.
FSKD (2)
Yalan Ye, Jiazhi Zeng, Ke Lu
2008 J jnl
Locality sensitive semi-supervised feature selection.
Neurocomputing
Jidong Zhao, Ke Lu, Xiaofei He
2006 J jnl
An algorithm for semi-supervised learning in image retrieval.
Pattern Recognit.
Ke Lu, Jidong Zhao, Deng Cai
2006 — conf
Semi-supervised Support Vector Learning for Face Recognition.
ISNN (2)
Ke Lu, Xiaofei He, Jidong Zhao
2005 J jnl
Image retrieval based on incremental subspace learning.
Pattern Recognit.
Ke Lu, Xiaofei He
2005 — conf
Semi-supervised Learning for Image Retrieval Using Support Vector Machines.
ISNN (1)
Ke Lu, Jidong Zhao, Mengqin Xia, Jiazhi Zeng
2004 C conf
Image Retrieval Using Dimensionality Reduction.
CIS
Ke Lu, Xiaofei He, Jiazhi Zeng
2004 J jnl
Locality pursuit embedding.
Pattern Recognit.
Wanli Min, Ke Lu, Xiaofei He