2025
Guest Editorial: Special Issue on Trustworthy Federated Learning.
IEEE Trans. Neural Networks Learn. Syst., January, 2025
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model.
IEEE Trans. Dependable Secur. Comput., 2025
FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
Optimizing Privacy, Utility, and Efficiency in a Constrained Multi-Objective Federated Learning Framework.
ACM Trans. Intell. Syst. Technol., December, 2024
Accelerating Vertical Federated Learning.
IEEE Trans. Big Data, December, 2024
FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2024
A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models.
J. Comput. Sci. Technol., July, 2024
A Meta-Learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning.
ACM Trans. Intell. Syst. Technol., June, 2024
A Game-theoretic Framework for Privacy-preserving Federated Learning.
ACM Trans. Intell. Syst. Technol., June, 2024
Addressing Spatial-Temporal Data Heterogeneity in Federated Continual Learning via Tail Anchor.
CoRR, 2024
FedCoLLM: A Parameter-Efficient Federated Co-tuning Framework for Large and Small Language Models.
CoRR, 2024
Disentangling data distribution for Federated Learning.
CoRR, 2024
A few-shot Label Unlearning in Vertical Federated Learning.
CoRR, 2024
Model-Based Differentially Private Knowledge Transfer for Large Language Models.
CoRR, 2024
PDSS: A Privacy-Preserving Framework for Step-by-Step Distillation of Large Language Models.
CoRR, 2024
FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation.
CoRR, 2024
No Free Lunch Theorem for Privacy-Preserving LLM Inference.
CoRR, 2024
Federated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data.
CoRR, 2024
A Survey on Contribution Evaluation in Vertical Federated Learning.
CoRR, 2024
FedEval-LLM: Federated Evaluation of Large Language Models on Downstream Tasks with Collective Wisdom.
CoRR, 2024
Hyperparameter Optimization for SecureBoost via Constrained Multi-Objective Federated Learning.
CoRR, 2024
FedCQA: Answering Complex Queries on Multi-Source Knowledge Graphs via Federated Learning.
CoRR, 2024
Evaluating Membership Inference Attacks and Defenses in Federated Learning.
CoRR, 2024
Label Privacy Source Coding in Vertical Federated Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024
SecureBoost+: Large Scale and High-Performance Vertical Federated Gradient Boosting Decision Tree.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Unlearning during Learning: An Efficient Federated Machine Unlearning Method.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Model Trip: Enhancing Privacy and Fairness in Model Fusion Across Multi-Federations for Trustworthy Global Healthcare.
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Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Byzantine Robust Aggregation in Federated Distillation with Adversaries.
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning.
Proceedings of the Computer Vision - ECCV 2024, 2024
Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Reconstructing Close Human Interactions from Multiple Views.
ACM Trans. Graph., December, 2023
Trading Off Privacy, Utility, and Efficiency in Federated Learning.
ACM Trans. Intell. Syst. Technol., December, 2023
FedIPR: Ownership Verification for Federated Deep Neural Network Models.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023
Scalable Identity-Oriented Speech Retrieval.
IEEE Trans. Knowl. Data Eng., March, 2023
No Free Lunch Theorem for Security and Utility in Federated Learning.
ACM Trans. Intell. Syst. Technol., February, 2023
Federated Learning with Privacy-preserving and Model IP-right-protection.
Int. J. Autom. Comput., 2023
A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning.
CoRR, 2023
Grounding Foundation Models through Federated Transfer Learning: A General Framework.
CoRR, 2023
A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models.
CoRR, 2023
FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models.
CoRR, 2023
SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning.
CoRR, 2023
Temporal Gradient Inversion Attacks with Robust Optimization.
CoRR, 2023
FedSOV: Federated Model Secure Ownership Verification with Unforgeable Signature.
CoRR, 2023
FedZKP: Federated Model Ownership Verification with Zero-knowledge Proof.
CoRR, 2023
Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning.
CoRR, 2023
A Game-theoretic Framework for Federated Learning.
CoRR, 2023
Probably Approximately Correct Federated Learning.
CoRR, 2023
Learning Adapters for Text-Guided Portrait Stylization with Pretrained Diffusion Models.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
MaskDiffuse: Text-Guided Face Mask Removal Based on Diffusion Models.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
Achieving Provable Byzantine Fault-tolerance in a Semi-honest Federated Learning Setting.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Hierarchical Crowdsourcing for Data Labeling with Heterogeneous Crowd.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Distribution-Regularized Federated Learning on Non-IID Data.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
2022
Customized Federated Learning for Multi-Source Decentralized Medical Image Classification.
IEEE J. Biomed. Health Informatics, 2022
Intrinsic Performance Influence-based Participant Contribution Estimation for Horizontal Federated Learning.
ACM Trans. Intell. Syst. Technol., 2022
Protect, show, attend and tell: Empowering image captioning models with ownership protection.
Pattern Recognit., 2022
DeepIPR: Deep Neural Network Ownership Verification With Passports.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model.
CoRR, 2022
A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated Learning.
CoRR, 2022
A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning.
CoRR, 2022
Federated Learning with Quantum Secure Aggregation.
CoRR, 2022
FadMan: Federated Anomaly Detection across Multiple Attributed Networks.
CoRR, 2022
You Don't Know My Favorite Color: Preventing Dialogue Representations from Revealing Speakers' Private Personas.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Knowledge-Enhanced Learning for KG Embedding.
Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022
2021
Fast black-box quantum state preparation based on linear combination of unitaries.
Quantum Inf. Process., 2021
Federated Deep Learning with Bayesian Privacy.
CoRR, 2021
Proceedings of ICML 2021 Workshop on Theoretic Foundation, Criticism, and Application Trend of Explainable AI.
CoRR, 2021
Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attack.
CoRR, 2021
L2RS: A Learning-to-Rescore Mechanism for Hybrid Speech Recognition.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
ICDAR 2021 Competition on Integrated Circuit Text Spotting and Aesthetic Assessment.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021
Protecting Intellectual Property of Generative Adversarial Networks From Ambiguity Attacks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
A Health-friendly Speaker Verification System Supporting Mask Wearing.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks.
Proceedings of the Federated Learning - Privacy and Incentive, 2020
Quantum fast Poisson solver: the algorithm and complete and modular circuit design.
Quantum Inf. Process., 2020
Quantum circuits design for evaluating transcendental functions based on a function-value binary expansion method.
Quantum Inf. Process., 2020
Editorial: Special Issue on Compact Deep Neural Networks With Industrial Applications.
IEEE J. Sel. Top. Signal Process., 2020
Rethinking Uncertainty in Deep Learning: Whether and How it Improves Robustness.
CoRR, 2020
Protect, Show, Attend and Tell: Image Captioning Model with Ownership Protection.
CoRR, 2020
Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks.
CoRR, 2020
Deep Polarized Network for Supervised Learning of Accurate Binary Hashing Codes.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
MaraVis: Representation and Coordinated Intervention of Medical Encounters in Urban Marathon.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020
Interpreting and Evaluating Black Box Models in a Customizable Way.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
L2RS: A Learning-to-Rescore Mechanism for Automatic Speech Recognition.
CoRR, 2019
Digital Passport: A Novel Technological Strategy for Intellectual Property Protection of Convolutional Neural Networks.
CoRR, 2019
Proceedings of AAAI 2019 Workshop on Network Interpretability for Deep Learning.
CoRR, 2019
A Universal Logic Operator for Interpretable Deep Convolution Networks.
CoRR, 2019
Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Fast Registration for Cross-Source Point Clouds by using Weak Regional Affinity and Pixel-Wise Refinement.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019
Simultaneously Learning Architectures and Features of Deep Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019
2018
A Coarse-to-Fine Algorithm for Matching and Registration in 3D Cross-Source Point Clouds.
IEEE Trans. Circuits Syst. Video Technol., 2018
A Theoretical Investigation of Graph Degree as an Unsupervised Normality Measure.
CoRR, 2018
Evaluation of Visual Object Trackers on Equirectangular Panorama.
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018
Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels.
Proceedings of the 20th IEEE International Workshop on Multimedia Signal Processing, 2018
Object Detection in Equirectangular Panorama.
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Depth Masked Discriminative Correlation Filter.
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Automatic Feature Extraction for Wide-angle and Fish-eye Camera Calibration.
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Generic calibration of cameras with non-parallel optical elements.
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Deep Epitome for Unravelling Generalized Hamming Network.
Proceedings of the 24th International Conference on Pattern Recognition, 2018
2017
A Systematic Approach for Cross-Source Point Cloud Registration by Preserving Macro and Micro Structures.
IEEE Trans. Image Process., 2017
Real-time SLAM relocalization with online learning of binary feature indexing.
Mach. Vis. Appl., 2017
Urban 3D segmentation and modelling from street view images and LiDAR point clouds.
Mach. Vis. Appl., 2017
Deep Epitome for Unravelling Generalized Hamming Network: A Fuzzy Logic Interpretation of Deep Learning.
CoRR, 2017
Happy Travelers Take Big Pictures: A Psychological Study with Machine Learning and Big Data.
CoRR, 2017
Revisit Fuzzy Neural Network: Demystifying Batch Normalization and ReLU with Generalized Hamming Network.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
2016
Fast Localization in Large-Scale Environments Using Supervised Indexing of Binary Features.
IEEE Trans. Image Process., 2016
Weighted fuzzy track association method based on Dempster-Shafer theory in distributed sensor networks.
Int. J. Distributed Sens. Networks, 2016
Accurate Robust and Efficient Error Estimation for Decision Trees.
Proceedings of the 33nd International Conference on Machine Learning, 2016
Global Scale Integral Volumes.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016
A Coarse-to-Fine Algorithm for Registration in 3D Street-View Cross-Source Point Clouds.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016
Real Time Complete Dense Depth Reconstruction for a Monocular Camera.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016
Comprehensive Automated 3D Urban Environment Modelling Using Terrestrial Laser Scanning Point Cloud.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016
2015
A weakly supervised geodesic level set framework for interactive image segmentation.
Neurocomputing, 2015
Using the Similarity Measure between Intuitionistic Fuzzy Sets for the Application on Pattern Recognitions.
Int. J. Cogn. Informatics Nat. Intell., 2015
Automated super-voxel based features classification of urban environments by integrating 3D point cloud and image content.
Proceedings of the 2015 IEEE International Conference on Signal and Image Processing Applications, 2015
Robust interactive image segmentation with weak supervision for mobile touch screen devices.
Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015
Dense Correspondence Using Non-Local DAISY Forest.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015
2014
Efficient pose tracking on mobile phones with 3D points grouping.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2014
Street view cross-sourced point cloud matching and registration.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
A 3D map augmented photo gallery application on mobile device.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Online Learning of Binary Feature Indexing for Real-Time SLAM Relocalization.
Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014
Object Recognition in 3D Point Cloud of Urban Street Scene.
Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014
Simple Octree Solution for Multi-resolution LiDAR Processing and Visualisation.
Proceedings of the 14th IEEE International Conference on Computer and Information Technology, 2014
2013
Finger Tracking for Gestural Interaction in Mobile Devices.
Proceedings of the Image Analysis, 18th Scandinavian Conference, 2013
Augmented and interactive video playback based on global camera pose.
Proceedings of the ACM Multimedia Conference, 2013
Semantic Parsing of Street Scene Images Using 3D LiDAR Point Cloud.
Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013
Supervised Binary Hash Code Learning with Jensen Shannon Divergence.
Proceedings of the IEEE International Conference on Computer Vision, 2013
In-Situ Web Mashup and Hypermedia Support for Mobile Vision-Based AR Applications.
Proceedings of the 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things (iThings) and IEEE Cyber, 2013
2012
On-line Object Reconstruction and Tracking for 3D Interaction.
Proceedings of the 2012 IEEE International Conference on Multimedia and Expo, 2012
Head-tracking virtual 3-D display for mobile devices.
Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012
2011
Graph Partition Based Bundle Adjustment for Structured Dataset.
Proceedings of the Sixth International Conference on Image and Graphics, 2011
A Feature-Based Object Tracking Method Using Online Template Switching and Feature Adaptation.
Proceedings of the Sixth International Conference on Image and Graphics, 2011
Real-time object tracking on mobile phones.
Proceedings of the First Asian Conference on Pattern Recognition, 2011
2010
A feature-based object tracking approach for realtime image processing on mobile devices.
Proceedings of the International Conference on Image Processing, 2010
Animation pyramid for efficient image database browsing.
Proceedings of the International Conference on Image Processing, 2010
PCA-based structure refinement for reconstruction of urban scene.
Proceedings of the International Conference on Image Processing, 2010
2009
Revisiting the P<i>n</i>P Problem with a GPS.
Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009
Adaptive Sample Consensus for Efficient Random Optimization.
Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009
Efficient Random Sampling for Nonrigid Feature Matching.
Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009
2008
Robust Scale Estimation from Ensemble Inlier Sets for Random Sample Consensus Methods.
Proceedings of the Computer Vision, 2008
2007
An efficient parallel algorithm for hexagonal-based fractal image compression.
Int. J. Comput. Math., 2007
Hill Climbing Algorithm for Random Sample Consensus Methods.
Proceedings of the Advances in Visual Computing, Third International Symposium, 2007
2005
Color reconstruction in digital cameras: optimization for document images.
Int. J. Document Anal. Recognit., 2005
2004
Intra-class variation, affine transformation and background clutter: towards robust image matching.
Proceedings of the Third International Conference on Image and Graphics, 2004
2003
Model-based varying pose face detection and facial feature registration in colour images.
Pattern Recognit. Lett., 2003
Pedestrian registration in static images with unconstrained background.
Pattern Recognit., 2003
Adaptive image-smoothing using a coplanar matrix and its application to document image binarization.
Int. J. Document Anal. Recognit., 2003
A diffusion process for wavelet-transform-based image denoising and its application to document image binarization.
Proceedings of the 2003 International Conference on Image Processing, 2003
Wavelet Diffusion for Document Image Denoising.
Proceedings of the 7th International Conference on Document Analysis and Recognition (ICDAR 2003), 2003
2002
Adaptive image restoration using structure tensors.
Proceedings of the 2002 International Conference on Image Processing, 2002
2001
Edge-preserving prefiltering for document image binarization.
Proceedings of the 2001 International Conference on Image Processing, 2001
Binarizing Document Image Using Coplanar Prefilter.
Proceedings of the 6th International Conference on Document Analysis and Recognition (ICDAR 2001), 2001
2000
Model-based varying pose face detection and facial feature registration in video images.
Proceedings of the 8th ACM International Conference on Multimedia 2000, Los Angeles, CA, USA, October 30, 2000
A Combined Feature-Texture Similarity Measure for Face Alignment under.
Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000