2025
Utilizing RBC system for taxation policy evaluation: An adaptive interaction framework based on deep reinforcement learning.
Expert Syst. Appl., 2025
2024
Towards Effective Clustered Federated Learning: A Peer-to-Peer Framework With Adaptive Neighbor Matching.
IEEE Trans. Big Data, December, 2024
Multi-agent Continuous Control with Generative Flow Networks.
Neural Networks, 2024
Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization.
CoRR, 2024
Constructing Data Transaction Chains Based on Opportunity Cost Exploration.
CoRR, 2024
Improving Group Connectivity for Generalization of Federated Deep Learning.
CoRR, 2024
Training-time Neuron Alignment through Permutation Subspace for Improving Linear Mode Connectivity and Model Fusion.
CoRR, 2024
Walking is Matter: A Benchmark for Fine-Grained Gait Segmentation.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024
Advancing Prompt Learning through an External Layer.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Neural Collapse Anchored Prompt Tuning for Generalizable Vision-Language Models.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Feature Transformation for Few-Shot Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024
Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Service Satisfaction Evaluation from Gaits Using Local Low-level and Global Co-occurrence Features.
Proceedings of the 7th International Conference on Information and Computer Technologies, 2024
More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Distributionally Generative Augmentation for Fair Facial Attribute Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
A Federated Learning-Based Framework for Ride-Sourcing Traffic Demand Prediction.
IEEE Trans. Veh. Technol., November, 2023
Federated mutual learning: a collaborative machine learning method for heterogeneous data, models, and objectives.
Frontiers Inf. Technol. Electron. Eng., October, 2023
Federated unsupervised representation learning.
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Frontiers Inf. Technol. Electron. Eng., August, 2023
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI.
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IEEE Trans. Knowl. Data Eng., July, 2023
PerimetryNet: A multiscale fine grained deep network for three-dimensional eye gaze estimation using visual field analysis.
Comput. Animat. Virtual Worlds, 2023
FediOS: Decoupling Orthogonal Subspaces for Personalization in Feature-skew Federated Learning.
CoRR, 2023
Bridging the Gap: Neural Collapse Inspired Prompt Tuning for Generalization under Class Imbalance.
CoRR, 2023
Data valuation: The partial ordinal Shapley value for machine learning.
CoRR, 2023
Universal Domain Adaptation via Compressive Attention Matching.
CoRR, 2023
Edge-cloud Collaborative Learning with Federated and Centralized Features.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Generalized Universal Domain Adaptation with Generative Flow Networks.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
When Masked Image Modeling Meets Source-free Unsupervised Domain Adaptation: Dual-Level Masked Network for Semantic Segmentation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Transformer-Based Multi-Source Domain Adaptation Without Source Data.
Proceedings of the International Joint Conference on Neural Networks, 2023
Revisiting Weighted Aggregation in Federated Learning with Neural Networks.
Proceedings of the International Conference on Machine Learning, 2023
Learning Cautiously in Federated Learning with Noisy and Heterogeneous Clients.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023
Federated Domain Adaptation via Pseudo-label Refinement.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023
Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Target-Discriminability-Induced Multi-Source-Free Domain Adaptation.
Proceedings of the IEEE International Conference on Image Processing, 2023
Universal Domain Adaptation via Compressive Attention Matching.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
TFSF: Topological and Feature Space Fusion with Spatio-Temporal Modeling for Crop Yield Prediction.
Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023
Score-PA: Score-based 3D Part Assembly.
Proceedings of the 34th British Machine Vision Conference 2023, 2023
Delving into the Adversarial Robustness of Federated Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
TICS: text-image-based semantic CAPTCHA synthesis via multi-condition adversarial learning.
Vis. Comput., 2022
Shuhai: A Tool for Benchmarking High Bandwidth Memory on FPGAs.
IEEE Trans. Computers, 2022
Can we share models if sharing data is not an option?
Patterns, 2022
Research on real-time data transmission and multi-scale video image decomposition of embedded optical sensor array based on machine learning.
Multim. Tools Appl., 2022
Machine learning techniques to predict reactionary delays and other associated key performance indicators on British railway network.
J. Intell. Transp. Syst., 2022
A framework for self-supervised federated domain adaptation.
EURASIP J. Wirel. Commun. Netw., 2022
Mining Latent Relationships among Clients: Peer-to-peer Federated Learning with Adaptive Neighbor Matching.
CoRR, 2022
DENSE: Data-Free One-Shot Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
S2RL: Do We Really Need to Perceive All States in Deep Multi-Agent Reinforcement Learning?
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Modeling Freight-Sharing Platform Operations for Optimal Compensation Strategy Using Markov Decision Processes.
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Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Federated Learning with Label Distribution Skew via Logits Calibration.
Proceedings of the International Conference on Machine Learning, 2022
Adversarial Examples for Good: Adversarial Examples Guided Imbalanced Learning.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Towards Efficient Data Free Blackbox Adversarial Attack.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
SGW-Based Multi-task Learning in Vision Tasks.
Proceedings of the Computer Vision - ACCV 2024, 2022
2021
DRG grouping by machine learning: from expert-oriented to data-based method.
BMC Medical Informatics Decis. Mak., 2021
A Practical Data-Free Approach to One-shot Federated Learning with Heterogeneity.
CoRR, 2021
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey.
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CoRR, 2021
Unified Group Fairness on Federated Learning.
CoRR, 2021
Ensemble Federated Adversarial Training with Non-IID data.
CoRR, 2021
Federated Graph Learning - A Position Paper.
CoRR, 2021
Efficient Ring-topology Decentralized Federated Learning with Deep Generative Models for Industrial Artificial Intelligent.
CoRR, 2021
Design of Deep Learning Model for Task-Evoked fMRI Data Classification.
Comput. Intell. Neurosci., 2021
AI+X micro-program fosters interdisciplinary skills in China.
Commun. ACM, 2021
KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation.
Proceedings of the 38th International Conference on Machine Learning, 2021
Evaluate the Contribution of Multiple Participants in Federated Learning.
Proceedings of the Database and Expert Systems Applications, 2021
Optimizing Federated Learning on Non-IID Data Using Local Shapley Value.
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021
Web-based Platform for K-12 AI Education in China.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
An Automated Machine-Learning Approach for Road Pothole Detection Using Smartphone Sensor Data.
Sensors, 2020
Multi-platform data collection for public service with Pay-by-Data.
Multim. Tools Appl., 2020
When Sharing Economy Meets IoT: Towards Fine-grained Urban Air Quality Monitoring through Mobile Crowdsensing on Bike-share System.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020
GFL: A Decentralized Federated Learning Framework Based On Blockchain.
CoRR, 2020
Federated Unsupervised Representation Learning.
CoRR, 2020
Federated Mutual Learning.
CoRR, 2020
Evaluation Framework For Large-scale Federated Learning.
CoRR, 2020
A Low-Cost Method for Designing and Updating a DRGs Classifier Based on Machine Learning.
Proceedings of the ICMHI 2020: 4th International Conference on Medical and Health Informatics, 2020
Multi-Tenant Machine Learning Platform Based on Kubernetes.
Proceedings of the ICCAI '20: 2020 6th International Conference on Computing and Artificial Intelligence, 2020
2019
An artificial intelligence based data-driven approach for design ideation.
J. Vis. Commun. Image Represent., 2019
Galaxy Learning - A Position Paper.
CoRR, 2019
Exploratory Analysis for Big Social Data Using Deep Network.
IEEE Access, 2019
Training Encrypted Models with Privacy-preserved Data on Blockchain.
Proceedings of the ICVISP 2019: 3rd International Conference on Vision, 2019
SIMGAN: Photo-Realistic Semantic Image Manipulation Using Generative Adversarial Networks.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Generative Creativity: Adversarial Learning for Bionic Design.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019
Distributed Modelling Approaches for Data Privacy Preserving.
Proceedings of the Fifth IEEE International Conference on Multimedia Big Data, 2019
2018
Dropping Activation Outputs With Localized First-Layer Deep Network for Enhancing User Privacy and Data Security.
IEEE Trans. Inf. Forensics Secur., 2018
Text-to-Image Synthesis via Visual-Memory Creative Adversarial Network.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018
Dest-ResNet: A Deep Spatiotemporal Residual Network for Hotspot Traffic Speed Prediction.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018
Deep Sequence Learning with Auxiliary Information for Traffic Prediction.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Data Quality Transaction on Different Distributed Ledger Technologies.
Proceedings of the Big Scientific Data Management, 2018
2017
A Visual Analytics Approach for Station-Based Air Quality Data.
Sensors, 2017
Unsupervised Image-to-Image Translation with Generative Adversarial Networks.
CoRR, 2017
Exploratory Analysis of Big Social Data Using MIC/MINE Statistics.
Proceedings of the Social Informatics, 2017
Semantic Image Synthesis via Adversarial Learning.
Proceedings of the IEEE International Conference on Computer Vision, 2017
2016
Survey on Feature Extraction and Applications of Biosignals.
Proceedings of the Machine Learning for Health Informatics, 2016
Mixed Neural Network Approach for Temporal Sleep Stage Classification.
CoRR, 2016
Generating Computational Taxonomy for Business Models of the Digital Economy.
Proceedings of the Database Systems for Advanced Applications, 2016
2014
Concinnity: A Generic Platform for Big Sensor Data Applications.
IEEE Cloud Comput., 2014
Linear Dynamic Sparse Modelling for functional MR imaging.
Brain Informatics, 2014
Integration of sparse Bayesian learning and random subspace for fMRI Multivariate Pattern Analysis.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Balancing the Stability and Predictive Performance for Multivariate Voxel Selection in fMRI Study.
Proceedings of the Brain Informatics and Health - International Conference, 2014
Building a cloud-based platform for personal health sensor data management.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014
2013
Elastic Information Management for Air Pollution Monitoring in Large-Scale M2M Sensor Networks.
Int. J. Distributed Sens. Networks, 2013
Sensor Deployment in Bayesian Compressive Sensing Based Environmental Monitoring.
Proceedings of the Mobile and Ubiquitous Systems: Computing, Networking, and Services, 2013
An Approximation Approach to Measurement Design in the Reconstruction of Functional MRI Sequences.
Proceedings of the Brain and Health Informatics - International Conference, 2013
Enhanced user data privacy with pay-by-data model.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013
Building a generic platform for big sensor data application.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013
2012
Social networking federation: A position paper.
Comput. Electr. Eng., 2012
A New Paradigm for Web App Development, Deployment, Distribution, and Collaboration.
Proceedings of the ICSOFT 2012 - Proceedings of the 7th International Conference on Software Paradigm Trends, Rome, Italy, 24, 2012
An EEG-Based Brain Informatics Application for Enhancing Music Experience.
Proceedings of the Brain Informatics - International Conference, 2012
Elastic Application Container: A Lightweight Approach for Cloud Resource Provisioning.
Proceedings of the IEEE 26th International Conference on Advanced Information Networking and Applications, 2012
2011
Detecting insecure person in crowd with human sensor.
Proceedings of the 2nd International Conference on Ambient Systems, 2011