Jingjing Li

Orcid: 0000-0002-5504-2529

Affiliations:
  • University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China


According to our database1, Jingjing Li authored at least 165 papers between 2015 and 2024.

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Bibliography

2024
Incomplete Cross-Modal Retrieval with Deep Correlation Transfer.
ACM Trans. Multim. Comput. Commun. Appl., May, 2024

Online Query Expansion Hashing for Efficient Image Retrieval.
IEEE Trans. Circuits Syst. Video Technol., March, 2024

Adaptive online continual multi-view learning.
Inf. Fusion, March, 2024

Online Unsupervised Domain Adaptation via Reducing Inter- and Intra-Domain Discrepancies.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

Multi-Modal Hashing for Efficient Multimedia Retrieval: A Survey.
IEEE Trans. Knowl. Data Eng., January, 2024

Imbalanced Open Set Domain Adaptation via Moving-Threshold Estimation and Gradual Alignment.
IEEE Trans. Multim., 2024

Visually Source-Free Domain Adaptation via Adversarial Style Matching.
IEEE Trans. Image Process., 2024

Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation.
CoRR, 2024

Agile Multi-Source-Free Domain Adaptation.
CoRR, 2024

Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation.
CoRR, 2024

Agile Multi-Source-Free Domain Adaptation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Effective Comparative Prototype Hashing for Unsupervised Domain Adaptation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Multi-level Attention-based Domain Disentanglement for BCDR.
ACM Trans. Inf. Syst., October, 2023

Continuous-time graph directed information maximization for temporal network representation.
Inf. Sci., October, 2023

Open Set Domain Adaptation via Joint Alignment and Category Separation.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Work Together: Correlation-Identity Reconstruction Hashing for Unsupervised Cross-Modal Retrieval.
IEEE Trans. Knowl. Data Eng., September, 2023

On the Imaginary Wings: Text-Assisted Complex-Valued Fusion Network for Fine-Grained Visual Classification.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Classification Certainty Maximization for Unsupervised Domain Adaptation.
IEEE Trans. Circuits Syst. Video Technol., August, 2023

Dual-Aligned Feature Confusion Alleviation for Generalized Zero-Shot Learning.
IEEE Trans. Circuits Syst. Video Technol., August, 2023

Explainable Discrete Collaborative Filtering.
IEEE Trans. Knowl. Data Eng., July, 2023

Uneven Bi-Classifier Learning for Domain Adaptation.
IEEE Trans. Circuits Syst. Video Technol., July, 2023

Flexible Multiview Spectral Clustering With Self-Adaptation.
IEEE Trans. Cybern., April, 2023

Binary Label Learning for Semi-Supervised Feature Selection.
IEEE Trans. Knowl. Data Eng., March, 2023

Language-Augmented Pixel Embedding for Generalized Zero-Shot Learning.
IEEE Trans. Circuits Syst. Video Technol., March, 2023

Efficient Query-based Black-box Attack against Cross-modal Hashing Retrieval.
ACM Trans. Inf. Syst., 2023

CFPNet: A Denoising Network for Complex Frequency Band Signal Processing.
IEEE Trans. Multim., 2023

Learning MLatent Representations for Generalized Zero-Shot Learning.
IEEE Trans. Multim., 2023

Partial Multi-Modal Hashing via Neighbor-Aware Completion Learning.
IEEE Trans. Multim., 2023

Teacher-Student Learning: Efficient Hierarchical Message Aggregation Hashing for Cross-Modal Retrieval.
IEEE Trans. Multim., 2023

Manifold Regularized Joint Transfer for Open Set Domain Adaptation.
IEEE Trans. Multim., 2023

Adversarial Mixup Ratio Confusion for Unsupervised Domain Adaptation.
IEEE Trans. Multim., 2023

GSMFlow: Generation Shifts Mitigating Flow for Generalized Zero-Shot Learning.
IEEE Trans. Multim., 2023

Multi-Modal Discrete Collaborative Filtering for Efficient Cold-Start Recommendation.
IEEE Trans. Knowl. Data Eng., 2023

Adaptive Collaborative Soft Label Learning for Unsupervised Multi-View Feature Selection.
ACM Trans. Knowl. Discov. Data, 2023

Unsupervised Adaptive Feature Selection With Binary Hashing.
IEEE Trans. Image Process., 2023

Privacy-Preserving Adaptive Remaining Useful Life Prediction via Source-Free Domain Adaption.
IEEE Trans. Instrum. Meas., 2023

Online continual learning with declarative memory.
Neural Networks, 2023

Alleviating the generalization issue in adversarial domain adaptation networks.
Image Vis. Comput., 2023

Cross-Modal Retrieval: A Systematic Review of Methods and Future Directions.
CoRR, 2023

Imbalanced Open Set Domain Adaptation via Moving-threshold Estimation and Gradual Alignment.
CoRR, 2023

A Comprehensive Survey on Source-free Domain Adaptation.
CoRR, 2023

Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Noise-Robust Continual Test-Time Domain Adaptation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Task-Adversarial Adaptation for Multi-modal Recommendation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Prototype-guided Knowledge Transfer for Federated Unsupervised Cross-modal Hashing.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Zero-Shot Learning by Harnessing Adversarial Samples.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Cross-Domain Adaptative Learning for Online Advertisement Customer Lifetime Value Prediction.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Resource-Efficient Distributed Deep Neural Networks Empowered by Intelligent Software-Defined Networking.
IEEE Trans. Netw. Serv. Manag., December, 2022

Universal adversarial perturbations generative network.
World Wide Web, 2022

Adversarial Entropy Optimization for Unsupervised Domain Adaptation.
IEEE Trans. Neural Networks Learn. Syst., 2022

Mind the Remainder: Taylor's Theorem View on Recurrent Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2022

Alleviating Domain Shift via Discriminative Learning for Generalized Zero-Shot Learning.
IEEE Trans. Multim., 2022

Deep Pairwise Hashing for Cold-Start Recommendation.
IEEE Trans. Knowl. Data Eng., 2022

Faster Domain Adaptation Networks.
IEEE Trans. Knowl. Data Eng., 2022

Efficient Semi-Supervised Multimodal Hashing With Importance Differentiation Regression.
IEEE Trans. Image Process., 2022

Weighted Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction.
IEEE Trans. Instrum. Meas., 2022

Domain Adaptive Remaining Useful Life Prediction With Transformer.
IEEE Trans. Instrum. Meas., 2022

Investigating the Bilateral Connections in Generative Zero-Shot Learning.
IEEE Trans. Cybern., 2022

Divergence-Agnostic Unsupervised Domain Adaptation by Adversarial Attacks.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Transferring Inter-Class Correlation for Teacher-Student frameworks with flexible models.
Knowl. Based Syst., 2022

Semantic guided knowledge graph for large-scale zero-shot learning.
J. Vis. Commun. Image Represent., 2022

Domain adaptive state representation alignment for reinforcement learning.
Inf. Sci., 2022

Cross-domain Mutual Information Adversarial Maximization.
Eng. Appl. Artif. Intell., 2022

Semantic Enhanced Knowledge Graph for Large-Scale Zero-Shot Learning.
CoRR, 2022

Federated Zero-Shot Learning for Visual Recognition.
CoRR, 2022

Bit-aware Semantic Transformer Hashing for Multi-modal Retrieval.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Variational Model Perturbation for Source-Free Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Pixel Exclusion: Uncertainty-aware Boundary Discovery for Active Cross-Domain Semantic Segmentation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Alleviating Style Sensitivity then Adapting: Source-free Domain Adaptation for Medical Image Segmentation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Source-Free Active Domain Adaptation via Energy-Based Locality Preserving Transfer.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Energy-Based Domain Generalization for Face Anti-Spoofing.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Webly Supervised Image Hashing with Lightweight Semantic Transfer Network.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Online ECG Emotion Recognition for Unknown Subjects via Hypergraph-Based Transfer Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Cross-Domain Communications Between Agents Via Adversarial-Based Domain Adaptation in Reinforcement Learning.
Proceedings of the IEEE International Conference on Communications, 2022

Interpretable Open-Set Domain Adaptation via Angular Margin Separation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Communication-Efficient Federated Data Augmentation on Non-IID Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Distinguishing Unseen from Seen for Generalized Zero-shot Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Adaptive Partial Multi-View Hashing for Efficient Social Image Retrieval.
IEEE Trans. Multim., 2021

On Both Cold-Start and Long-Tail Recommendation with Social Data.
IEEE Trans. Knowl. Data Eng., 2021

Adversarial Energy Disaggregation.
Trans. Data Sci., 2021

Adaptive Component Embedding for Domain Adaptation.
IEEE Trans. Cybern., 2021

Dual-Level Semantic Transfer Deep Hashing for Efficient Social Image Retrieval.
IEEE Trans. Circuits Syst. Video Technol., 2021

Challenging tough samples in unsupervised domain adaptation.
Pattern Recognit., 2021

Maximum Density Divergence for Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Reducing bias to source samples for unsupervised domain adaptation.
Neural Networks, 2021

Learning a Weighted Classifier for Conditional Domain Adaptation.
Knowl. Based Syst., 2021

Unsupervised soft-label feature selection.
Knowl. Based Syst., 2021

Local-Global Attentive Adaptation for Object Detection.
Eng. Appl. Artif. Intell., 2021

Domain Adaptive Semantic Segmentation without Source Data.
CoRR, 2021

Test-time Batch Statistics Calibration for Covariate Shift.
CoRR, 2021

Adversarial Energy Disaggregation for Non-intrusive Load Monitoring.
CoRR, 2021

Semantic Disentangling Generalized Zero-Shot Learning.
CoRR, 2021

Domain Adaptive Semantic Segmentation without Source Data.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Disentangled Representation Learning and Enhancement Network for Single Image De-Raining.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Imbalanced Source-free Domain Adaptation.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Learning Transferrable and Interpretable Representations for Domain Generalization.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Two-pronged Strategy: Lightweight Augmented Graph Network Hashing for Scalable Image Retrieval.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Mitigating Generation Shifts for Generalized Zero-Shot Learning.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

A 40nm 1Mb 35.6 TOPS/W MLC NOR-Flash Based Computation-in-Memory Structure for Machine Learning.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Semantics Disentangling for Generalized Zero-Shot Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Multi-Stage Aggregated Transformer Network for Temporal Language Localization in Videos.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Region Semantically Aligned Network for Zero-Shot Learning.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Entropy-Based Uncertainty Calibration for Generalized Zero-Shot Learning.
Proceedings of the Databases Theory and Applications, 2021

Balanced Open Set Domain Adaptation via Centroid Alignment.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Exploring nonnegative and low-rank correlation for noise-resistant spectral clustering.
World Wide Web, 2020

Exploiting Cross-session Information for Session-based Recommendation with Graph Neural Networks.
ACM Trans. Inf. Syst., 2020

Robust Structured Graph Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2020

Efficient Supervised Discrete Multi-View Hashing for Large-Scale Multimedia Search.
IEEE Trans. Multim., 2020

Fast Discrete Collaborative Multi-Modal Hashing for Large-Scale Multimedia Retrieval.
IEEE Trans. Knowl. Data Eng., 2020

Flexible Multi-modal Hashing for Scalable Multimedia Retrieval.
ACM Trans. Intell. Syst. Technol., 2020

Deep Collaborative Multi-View Hashing for Large-Scale Image Search.
IEEE Trans. Image Process., 2020

Scalable Deep Hashing for Large-Scale Social Image Retrieval.
IEEE Trans. Image Process., 2020

Discrete Optimal Graph Clustering.
IEEE Trans. Cybern., 2020

Learning explicitly transferable representations for domain adaptation.
Neural Networks, 2020

Joint metric and feature representation learning for unsupervised domain adaptation.
Knowl. Based Syst., 2020

Discovering attractive segments in the user-generated video streams.
Inf. Process. Manag., 2020

Multi-source domain adaptation with graph embedding and adaptive label prediction.
Inf. Process. Manag., 2020

Robust optimal graph clustering.
Neurocomputing, 2020

Unsupervised Deep Cross-modal Hashing with Virtual Label Regression.
Neurocomputing, 2020

Multi-view feature selection via Nonnegative Structured Graph Learning.
Neurocomputing, 2020

Towards Fair Knowledge Transfer for Imbalanced Domain Adaptation.
CoRR, 2020

Transferring Inter-Class Correlation.
CoRR, 2020

Task-adaptive Asymmetric Deep Cross-modal Hashing.
CoRR, 2020

CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Self-supervised adversarial learning for cross-modal retrieval.
Proceedings of the MMAsia 2020: ACM Multimedia Asia, 2020

Multi-level expression guided attention network for referring expression comprehension.
Proceedings of the MMAsia 2020: ACM Multimedia Asia, 2020

Semantic feature augmentation for fine-grained visual categorization with few-sample training.
Proceedings of the MMAsia 2020: ACM Multimedia Asia, 2020

Learning Modality-Invariant Latent Representations for Generalized Zero-shot Learning.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Incomplete Cross-modal Retrieval with Dual-Aligned Variational Autoencoders.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Rethinking Generative Zero-Shot Learning: An Ensemble Learning Perspective for Recognising Visual Patches.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Multi-Feature Discrete Collaborative Filtering for Fast Cold-Start Recommendation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Heterogeneous Domain Adaptation Through Progressive Alignment.
IEEE Trans. Neural Networks Learn. Syst., 2019

Locality Preserving Joint Transfer for Domain Adaptation.
IEEE Trans. Image Process., 2019

Transfer Independently Together: A Generalized Framework for Domain Adaptation.
IEEE Trans. Cybern., 2019

CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language.
CoRR, 2019

Curiosity-driven Reinforcement Learning for Diverse Visual Paragraph Generation.
CoRR, 2019

Cycle-Consistent Domain Adaptive Faster RCNN.
IEEE Access, 2019

A Channel Pruning Algorithm Based on Depth-Wise Separable Convolution Unit.
IEEE Access, 2019

Residual Graph Convolutional Networks for Zero-Shot Learning.
Proceedings of the MMAsia '19: ACM Multimedia Asia, Beijing, China, December 16-18, 2019, 2019

Curiosity-driven Reinforcement Learning for Diverse Visual Paragraph Generation.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Flexible Online Multi-modal Hashing for Large-scale Multimedia Retrieval.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Alleviating Feature Confusion for Generative Zero-shot Learning.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Cycle-consistent Conditional Adversarial Transfer Networks.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Agile Domain Adaptation.
Proceedings of the International Joint Conference on Neural Networks, 2019

Adaptive Component Embedding for Unsupervised Domain Adaptation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

A Domain Adaptation Approach for Multistream Classification.
Proceedings of the Database Systems for Advanced Applications, 2019

Leveraging the Invariant Side of Generative Zero-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

From Zero-Shot Learning to Cold-Start Recommendation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

MR-NET: Exploiting Mutual Relation for Visual Relationship Detection.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Coupled local-global adaptation for multi-source transfer learning.
Neurocomputing, 2018

I read, I saw, I tell: Texts Assisted Fine-Grained Visual Classification.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Fine-grained Image Classification by Visual-Semantic Embedding.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Adaptive Collaborative Similarity Learning for Unsupervised Multi-view Feature Selection.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Learning Distribution-Matched Landmarks for Unsupervised Domain Adaptation.
Proceedings of the Database Systems for Advanced Applications, 2018

2017
Low-Rank Discriminant Embedding for Multiview Learning.
IEEE Trans. Cybern., 2017

Structured Domain Adaptation.
IEEE Trans. Circuits Syst. Video Technol., 2017

Kernel CCA Based Transfer Learning for Software Defect Prediction.
IEICE Trans. Inf. Syst., 2017

Low-Rank Representation with Graph Constraints for Robust Visual Tracking.
IEICE Trans. Inf. Syst., 2017

Two Birds One Stone: On both Cold-Start and Long-Tail Recommendation.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Locality-Constrained Transfer Coding for Heterogeneous Domain Adaptation.
Proceedings of the Databases Theory and Applications, 2017

2016
Multi-manifold Sparse Graph Embedding for Multi-modal Image Classification.
Neurocomputing, 2016

Joint Feature Selection and Structure Preservation for Domain Adaptation.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Robust Visual Tracking Using Sparse Discriminative Graph Embedding.
IEICE Trans. Inf. Syst., 2015


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