PhD in Computer Science
The University of Maryland, 1989
Article
Federated Learning with Privacy-preserving and Model IP-right-protection
Article
An Introduction to Federated and Transfer Learning
Book chapter
Cross-Silo Federated Neural Architecture Search for Heterogeneous and Cooperative Systems
Book chapter
Federated Transfer Reinforcement Learning for Autonomous Driving
Book chapter
A Phonetic-Semantic Pre-training Model for Robust Speech Recognition
Article
A Survey on Multi-Task Learning
Article
Artificial Intelligence for Stepwise Diagnosis and Monitoring of COVID-19
Article
DeepIPR: Deep Neural Network Ownership Verification With Passports
Article
Defending Batch-Level Label Inference and Replacement Attacks in Vertical Federated Learning
Article
Disentangling drivers of air pollutant and health risk changes during the COVID-19 lockdown in China
Article
Efficient Federated Matrix Factorization Against Inference Attacks
Article
FedBCD: A Communication-Efficient Collaborative Learning Framework for Distributed Features
Article
Privacy and Robustness in Federated Learning: Attacks and Defenses
Article
Privacy-preserving Federated Adversarial Domain Adaptation over Feature Groups for Interpretability
Article
Protect, show, attend and tell: Empowering image captioning models with ownership protection
Article
Semi-Supervised Federated Heterogeneous Transfer Learning
Article
Toward Personalized Federated Learning
Article
Towards Efficient Synchronous Federated Training: A Survey on System Optimization Strategies
Article
Article
Article
Article
Book
A Mechanism Design Approach for Multi-party Machine Learning
Conference paper
An Efficient Industrial Federated Learning Framework for AIoT: A Face Recognition Application
Conference paper
Contribution-Aware Federated Learning for Smart Healthcare
Conference paper
Conference paper
Conference paper
Frustratingly Easy Transferability Estimation
Conference paper
Practical Lossless Federated Singular Vector Decomposition over Billion-Scale Data
Conference paper
Selective Cross-City Transfer Learning for Traffic Prediction via Source City Region Re-Weighting
Conference paper
Sphinx: Enabling Privacy-Preserving Online Learning over the Cloud
Conference paper
The 11th International Workshop on Urban Computing
Conference paper
WrapperFL: A Model Agnostic Plug-in for Industrial Federated Learning
Conference paper
Article
Advances and open problems in federated learning
Article
Data science and AI in FinTech: an overview
Article
FATE: An Industrial Grade Platform for Collaborative Learning with Data Protection
Article
Federated learning-powered visual object detection for safety monitoring
Article
SecureBoost: A Lossless Federated Learning Framework
Article
StarFL: Hybrid Federated Learning Architecture for Smart Urban Computing
Article
Article
A Health-friendly Speaker Verification System Supporting Mask Wearing
Conference paper
L2RS: A Learning-to-Rescore Mechanism for Hybrid Speech Recognition
Conference paper
Learning to Assign: Towards Fair Task Assignment in Large-Scale Ride Hailing
Conference paper
Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attacks
Conference paper
QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction
Conference paper
SmartMeeting: Automatic Meeting Transcription and Summarization for In-Person Conversations
Conference paper
SmartSales: An AI-Powered Telemarketing Coaching System in FinTech
Conference paper
TrNews: Heterogeneous User-Interest Transfer Learning for News Recommendation
Conference paper
A Secure Federated Transfer Learning Framework
Article
A Sustainable Incentive Scheme for Federated Learning
Article
Addressing the Challenges of Government Service Provision with AI
Article
Federated Learning in Mobile Edge Networks: A Comprehensive Survey
Article
FL-QSAR: a federated learning-based QSAR prototype for collaborative drug discovery
Article
Hierarchical Incentive Mechanism Design for Federated Machine Learning in Mobile Networks
Article
Introduction to the Special Issue on Federated Machine Learning
Article
Secure Federated Matrix Factorization
Article
The Next Breakthroughs of Artificial Intelligence: The Interdisciplinary Nature of AI
Article
Transfer Learning With Dynamic Distribution Adaptation
Article
Article
Book
A Gamified Research Tool for Incentive Mechanism Design in Federated Learning
Book chapter
Federated Recommendation Systems
Book chapter
Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction
Book chapter
Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks
Book chapter
Book chapter
A De Novo Divide-and-Merge Paradigm for Acoustic Model Optimization in Automatic Speech Recognition
Conference paper
A fairness-aware incentive scheme for federated learning
Conference paper
A Multi-player Game for Studying Federated Learning Incentive Schemes
Conference paper
Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSys
Conference paper
Cooperative Multi-Agent Reinforcement Learning in Express System
Conference paper
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning
Conference paper
Conference paper
GoldenRetriever: A Speech Recognition System Powered by Modern Information Retrieval
Conference paper
Learn to Cross-Lingual Transfer with Meta Graph Learning Across Heterogeneous Languages
Conference paper
Network on Network for Tabular Data Classification in Real-world Applications
Conference paper
PrivNet: Safeguarding Private Attributes in Transfer Learning for Recommendation
Conference paper
RPN: A Residual Pooling Network for Efficient Federated Learning
Conference paper
Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning
Conference paper
Federated Machine Learning: Concept and Applications
Article
Millionaire: A Hint-guided Approach for Crowdsourcing
Article
Ridesharing Car Detection by Transfer Learning
Article
Transfer Hierarchical Attention Network for Generative Dialog System
Article
Transfer to Rank for Heterogeneous One-Class Collaborative Filtering
Article
Autocross: Automatic Feature Crossing for Tabular Data in Real-world Applications
Conference paper
Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction
Conference paper
Conference paper
Cross-city Transfer Learning for Deep Spatio-temporal Prediction
Conference paper
Easy Transfer Learning by Exploiting Intra-domain Structures
Conference paper
Efficient and Effective Express via Contextual Cooperative Reinforcement Learning
Conference paper
Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes
Conference paper
Fair and Explainable Dynamic Engagement of Crowd Workers
Conference paper
Hierarchical Heterogeneous Horizontal Federated Learning for EEG
Conference paper
Learning to transfer examples for partial domain adaptation
Conference paper
Multi-agent Visualization for Explaining Federated Learning
Conference paper
Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion
Conference paper
Parameter Transfer Unit for Deep Neural Networks
Conference paper
Privacy-preserving Heterogeneous Federated Transfer Learning
Conference paper
Privacy-preserving stacking with application to cross-organizational diabetes prediction
Conference paper
Rating Worker Skills and Task Strains in Collaborative Crowd Computing: A Competitive Perspective
Conference paper
Secure Federated Matrix Factorization
Conference paper
Separate to Adapt: Open Set Domain Adaptation via Progressive Separation
Conference paper
Social Mobilization to Reposition Indiscriminately Parked Shareable Bikes
Conference paper
Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting
Conference paper
Topic-Aware Dialogue Speech Recognition with Transfer Learning
Conference paper
Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text
Conference paper
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning
Conference paper
An Overview of Multi-task Learning
Article
Smart City Development With Urban Transfer Learning
Article
Bike Flow Prediction With Multi-graph Convolutional Networks
Conference paper
Building ethics into artificial intelligence
Conference paper
CoNet: Collaborative Cross Networks for Cross-domain Recommendation
Conference paper
CoNet: Collaborative Cross Networks for Cross-Domain Recommendation
Conference paper
Dynamic Bike Reposition: A Spatio-temporal Reinforcement Learning Approach
Conference paper
Hierarchical Attention Transfer Network for Cross-domain Sentiment Classification
Conference paper
Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN
Conference paper
Conference paper
Opportunistic Work-Rest Scheduling for Productive Aging
Conference paper
Personalizing a Dialogue System with Transfer Reinforcement Learning
Conference paper
Smarths: An AI platform for improving government service provision
Conference paper
Societal Impact of Data Science and Artificial Intelligence
Conference paper
Transfer Learning via Learning to Transfer
Conference paper
Transfer Learning via Learning to Transfer
Conference paper
Transfer Learning via Learning to Transfer: Supplementary Material
Conference paper
Transferable Contextual Bandit for Cross-Domain Recommendation
Conference paper
A Dataset of Human Decision-making in Teamwork Management
Article
A Unified Framework of Active Transfer Learning for Cross-System Recommendation
Article
Transfer Learning for Behavior Ranking
Article
Deep Neural Networks for High Dimension, Low Sample Size Data
Conference paper
Distant Domain Transfer Learning
Conference paper
End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification
Conference paper
Learning Sparse Task Relations in Multi-task Learning
Conference paper
Conference paper
Transfer Learning From APP Domain to News Domain for Dual Cold-start Recommendation
Conference paper
Transitive Hashing Network for Heterogeneous Multimedia Retrieval
Conference paper
Understanding How Feature Structure Transfers in Transfer Learning
Conference paper
When Transfer Learning Meets Deep Learning
Conference paper
Article
Heterogeneous Translated Hashing: A Scalable Solution Towards Multi-modal Similarity Search
Article
Individual Judgments Versus Consensus: Estimating Query-URL Relevance
Article
Mitigating Herding in Hierarchical Crowdsourcing Networks
Article
Telco User Activity Level Prediction with Massive Mobile Broadband Data
Article
Temporal Skeletonization on Sequential Data: Patterns, Categorization, and Visualization
Article
Transfer Learning for Semisupervised Collaborative Recommendation
Article
City-Scale Map Creation and Updating using GPS Collections
Conference paper
Collaborative Evolution for User Profiling in Recommender Systems
Conference paper
Correlated Tag Learning in Topic Model
Conference paper
Deep Visual-Semantic Hashing for Cross-Modal Retrieval
Conference paper
Infusing Human Factors into Algorithmic Crowdsourcing
Conference paper
Instilling Social to Physical: Co-Regularized Heterogeneous Transfer Learning
Conference paper
Matrix Factorization+ for Movie Recommendation
Conference paper
Multi-Domain Active Learning for Recommendation
Conference paper
The Lifecycle and Cascade of WeChat Social Messaging Groups
Conference paper
Transfer Knowledge between Cities
Conference paper
Article
Modeling Neuron Selectivity Over Simple Midlevel Features for Image Classification
Article
PBOOST: a GPU-based tool for parallel permutation tests in genome-wide association studies
Article
Book
Content-based Collaborative Filtering for News Topic Recommendation
Conference paper
Differential Privacy in Telco Big Data Platform
Conference paper
Efficient Task Sub-delegation for Crowdsourcing
Conference paper
Lifelong Machine Learning Test
Conference paper
Mining Target Users for Online Marketing Based on App Store Data
Conference paper
Question Classification by Approximating Semantics
Conference paper
RAIN: Social Role-Aware Information Diffusion
Conference paper
Conference paper
Scalable Parallel EM Algorithms for Latent Dirichlet Allocation in Multi-Core Systems
Conference paper
Spectral Label Refinement for Noisy and Missing Text Labels
Conference paper
Telco Churn Prediction with Big Data
Conference paper
Conference paper
User Modeling in Telecommunications and Internet Industry
Conference paper
Action-model acquisition for planning via transfer learning
Article
Bio‐Inspired Photonic‐Crystal Microchip for Fluorescent Ultratrace Detection
Article
Bird Flu Outbreak Prediction via Satellite Tracking
Article
Article
Improvement of Dscam homophilic binding affinity throughout Drosophila evolution
Article
Improvement of Dscam homophilic binding affinity throughout Drosophila evolution
Article
Learning hierarchical task network domains from partially observed plan traces
Article
Multi‐transfer: Transfer learning with multiple views and multiple sources
Article
OceanST: A Distributed Analytic System for Large-Scale Spatiotemporal Mobile Broadband Data
Article
Transfer Learning with Graph Co-Regularization
Article
User Behavior Learning and Transfer in Composite Social Networks
Article
Adaptive User Distance Modeling in Social Media
Conference paper
Clinical Analysis of Three Cases of Fungal Esophagitis in Children with Acute Lymphoblastic Leukemia
Conference paper
Crowdsourced Time-sync Video Tagging Using Temporal and Personalized Topic Modeling
Conference paper
Effects of additives on the wettability of AgSnO2 contact material
Conference paper
Linking Heterogeneous Input Spaces with Pivots for Multi-Task Learning
Conference paper
Mixed-transfer: transfer learning over mixed graphs
Conference paper
Music emotion recognition by multi-label multi-layer multi-instance multi-view learning
Conference paper
RAIN: Social Role-Aware Information Diffusion
Conference paper
Research on Layout of Measurement Points in Tunnel Lighting Experiment
Conference paper
Robust Adaptive Control of Nonlinear Systems with Uncertainties
Conference paper
Scalable heterogeneous translated hashing
Conference paper
Source Free Transfer Learning for Text Classification
Conference paper
Temporal skeletonization on sequential data: Patterns, categorization, and visualization
Conference paper
Backstepping Sliding Mode Control of PMSM Based on dSPACE
Article
Coordinated energy dispatching in microgrid with wind power generation and plug-in electric vehicles
Article
Feature Engineering for Semantic Place Prediction
Article
Article
Article
The Complete Compositional Epistasis Detection in Genome-wide Association Studies
Article
Thermal shock resistance of a ZrB2-SiC-graphite composite in low oxygen partial pressure environment
Article
Transfer learning in heterogeneous collaborative filtering domains
Article
User demographics prediction based on mobile data
Article
Active Transfer Learning for Cross-system Recommendation
Conference paper
Big Data, Lifelong Machine Learning and Transfer Learning
Conference paper
Collaborative Boosting for Activity Classification in Microblogs
Conference paper
Contextual Rule-based Feature Engineering for Author-paper Identification
Conference paper
Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels
Conference paper
Conference paper
General Functional Matrix Factorization Using Gradient Boosting
Conference paper
Lifelong Machine Learning Systems: Beyond Learning Algorithms
Conference paper
Modeling the Dynamics of Composite Social Networks
Conference paper
Multi-Transfer: Transfer Learning with Multiple Views and Multiple Sources
Conference paper
Conference paper
Predicting User Activity Level in Social Networks
Conference paper
Proceedings of the 2013 IEEE International Conference on Big Data
Conference paper
Proceedings of the 7th ACM conference on Recommender systems
Conference paper
Selective Transfer Learning for Cross Domain Recommendation
Conference paper
Smart Hashing Update for Fast Response
Conference paper
SMART: Semi-Supervised Music Emotion Recognition with Social Tagging
Conference paper
Clinical observation of Tongyangjiangni formulae in intervene of immature verrucosa gastritis
Article
Effects of Huayu Tongyang Enema Recipe on hypercoagulation in ulcerative colitis patients
Article
General chairs' welcome message
Article
Introduction to the Special Section on the 2nd Asia Conference on Machine Learning (ACML 2010)
Article
Article
Article
SMS Spam Detection Using Noncontent Features
Article
Article
Towards mobile intelligence: Learning from GPS history data for collaborative recommendation
Article
Tracking mobile users in wireless networks via semi-supervised colocalization
Article
Where is the user in multimedia retrieval?
Article
Book
Transfer learning for text mining
Book chapter
Conference paper
Conference paper
A habit mining approach for discovering similar mobile users
Conference paper
A machine learning approach for instance matching based on similarity metrics
Conference paper
A mouse-trajectory based model for predicting query-url relevance
Conference paper
A Noise-aware click model for web search
Conference paper
Action-model based multi-agent plan recognition
Conference paper
Beyond ten blue links: Enabling user click modeling in federated Web search
Conference paper
Contextual collaborative filtering via hierarchical matrix factorization
Conference paper
Cross-domain co-extraction of sentiment and topic lexicons
Conference paper
Discovering spammers in social networks
Conference paper
Discriminative factor alignment across heterogeneous feature space
Conference paper
Mining significant places from cell ID trajectories: A geo-grid based approach
Conference paper
Personalized click model through collaborative filtering
Conference paper
Rating Prediction with Informative Ensemble of Multi-Resolution Dynamic Models.
Conference paper
Report of Task 3: Your Phone Understands You
Conference paper
Short-term electricity price forecasting based on MPSO-BP algorithm
Conference paper
Social contextual recommendation
Conference paper
Social recommendation across multiple relational domains
Conference paper
Surrounding context and episode awareness using dynamic bluetooth data
Conference paper
Transfer learning in collaborative filtering with uncertain ratings
Conference paper
Transfer learning with graph co-regularization
Conference paper
A Hidden Two-locus Disease Association Pattern in Genome-wide Association Studies
Article
A resource-efficient load balancing algorithm for network virtualization
Article
A Survey of Transfer and Multitask Learning in Bioinformatics.
Article
Article
Cross-domain activity recognition via transfer learning
Article
Domain Adaptation via Transfer Component Analysis
Article
Identifying Disease-associated SNP Clusters via Contiguous Outlier Detection
Article
In silico protein-protein interaction prediction with sequence alignment and classifier stacking
Article
Introduction to the special issue on intelligent systems for activity recognition
Article
Learning bidirectional asymmetric similarity for collaborative filtering via matrix factorization
Article
Load modeling of power system considering time-variant load and dynamic compensation
Article
Multi-platform gene-expression mining and marker gene analysis
Article
Multitask learning for protein subcellular location prediction
Article
Article
Article
Structural Regularized Support Vector Machine: A Framework for Structural Large Margin Classifier
Article
Trace-Oriented Feature Analysis for Large-Scale Text Data Dimension Reduction
Article
Transfer Learning by Reusing Structured Knowledge
Article
Transferring network topological knowledge for predicting protein-protein interactions
Article
Activity recognition from trajectory data
Book chapter
Distributed Transfer Learning via Cooperative Matrix Factorization
Book chapter
Transfer Learning, Multi-Task Learning and Cost-Sensitive Learning
Book chapter
A whole page click model to better interpret search engine click data
Conference paper
Active dual collaborative filtering with both item and attribute feedback
Conference paper
Bayesian nonparametric modeling of user activities
Conference paper
Characterizing Inverse Time Dependency in Multi-class Learning
Conference paper
Characterizing search intent diversity into click models
Conference paper
Communication infrastructures for distributed control of power distribution networks
Conference paper
Cross-domain action-model acquisition for planning via web search
Conference paper
Distance metric learning under covariate shift
Conference paper
Heterogeneous Transfer Learning for Image Classification
Conference paper
Conference paper
Incorporating reviewer and product information for review rating prediction
Conference paper
Introduction to special issue on computational sustainability
Conference paper
Learning action models for multi-agent planning
Conference paper
On the design for AGVs: Modeling, path planning and localization
Conference paper
Query-Adaptive Ranking with Support Vector Machines for Protein Homology Prediction
Conference paper
Social-behavior Transfer Learning for Recommendation Systems
Conference paper
Source-selection-free transfer learning
Conference paper
Conference paper
Transfer learning by structural analogy
Conference paper
Transfer learning for activity recognition via sensor mapping
Conference paper
Transfer learning to predict missing ratings via heterogeneous user feedbacks
Conference paper
Transferring topical knowledge from auxiliary long texts for short text clustering
Conference paper
User-click modeling for understanding and predicting search-behavior
Conference paper
User-dependent aspect model for collaborative activity recognition
Conference paper
Wisdom of the better few: Cold start recommendation via representative based rating elicitation
Conference paper
A Recombination Hotspot in a Schizophrenia-Associated Region of GABRB2
Article
Article
Acquiring knowledge from inconsistent data sources through weighting
Article
BOOST: A Fast Approach to Detecting Gene-Gene Interactions in Genome-wide Case-Control Studies
Article
Bridging Domains Using World Wide Knowledge for Transfer Learning
Article
Detecting Two-locus Associations Allowing for Interactions in Genome-wide Association Studies
Article
Guest editor's introduction: Introduction to mobile information retrieval
Article
In-silico prediction of blood-secretory human proteins using a ranking algorithm
Article
Article
Learning complex action models with quantifiers and logical implications
Article
Learning with Positive and Unlabeled Examples Using Topic-Sensitive PLSA
Article
Multi-task learning for cross-platform siRNA efficacy prediction: an in-silico study
Article
Predictive Rule Inference for Epistatic Interaction Detection in Genome-wide Association Studies
Article
Article
Article
Three challenges in data mining
Article
Vlogging: A Survey of Videoblogging Technology on the Web
Article
Adapting neighborhood and matrix factorization models for context aware recommendation
Conference paper
Conference paper
An effective approach for mining mobile user habits
Conference paper
Clickthrough log analysis by collaborative ranking
Conference paper
Collaborative filtering meets mobile recommendation: A user-centered approach
Conference paper
Collaborative location and activity recommendations with GPS history data
Conference paper
Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning
Conference paper
Cross-domain sentiment classification via spectral feature alignment
Conference paper
Generalized and Heuristic-Free Feature Construction for Improved Accuracy
Conference paper
Guest editor's introduction: Introduction to mobile information retrieval
Conference paper
Conference paper
Indoor localization in multi-floor environments with reduced effort
Conference paper
Mapping multicast service-oriented virtual networks with delay and delay variation constraints
Conference paper
Multitask learning for protein subcellular localization prediction
Conference paper
Online evolutionary collaborative filtering
Conference paper
Predicting chemical activities from structures by attributed molecular graph classification
Conference paper
Predictive modeling with heterogeneous sources
Conference paper
Protein-protein interaction prediction via collective matrix factorization
Conference paper
Relational network-service clustering analysis with set evidences
Conference paper
Transfer learning for collective link prediction in multiple heterogenous domains
Conference paper
Transfer learning in collaborative filtering for sparsity reduction
Conference paper
Unifying explicit and implicit feedback for collaborative filtering
Conference paper
Conference paper
Visual contextual advertising: Bringing textual advertisements to images
Conference paper
Discriminatively regularized least-squares classification
Article
Article
Article
Post-processing data mining models for actionability
Article
Semantic Sensor Net: An Extensible Framework
Article
Semi-supervised protein subcellular localization
Article
Article
User Language Model for Collaborative Personalized Search
Article
Book
A communication system architecture for regional control of power distribution networks
Conference paper
Abnormal Activity Recognition Based on HDP-HMM Models
Conference paper
Activity Recognition with Multiple Goals: Some Current Problems and Proposed Solutions
Conference paper
Activity Recognition: Linking Low-level Sensors to High-level Intelligence
Conference paper
Can movies and books collaborate? Cross-domain collaborative filtering for sparsity reduction
Conference paper
Constraint-based case-based planning using weighted MAX-SAT
Conference paper
Context-aware online commercial intention detection
Conference paper
Context-aware query classification
Conference paper
Cross-domain activity recognition
Conference paper
Domain Adaptation via Transfer Component Analysis
Conference paper
EigenTransfer: a unified framework for transfer learning
Conference paper
Exploiting term relationship to boost text classification
Conference paper
Heterogeneous Transfer Learning for Image Clustering via the Social Web
Conference paper
Heterogeneous Transfer Learning with Real-world Applications
Conference paper
HIPS: A Calibration-less Hybrid Indoor Positioning System Using Heterogeneous Sensors
Conference paper
ICT systems for managing medium voltage active distribution grids
Conference paper
Identifying vertical search intention of query through social tagging propagation
Conference paper
Joint learning user's activities and profiles from GPS data
Conference paper
Knowledge Base assisted Text Categorization
Conference paper
Knowledge transfer among heterogeneous information networks
Conference paper
Learning applicability conditions in AI planning from partial observations
Conference paper
Learning HTN Method Preconditions and Action Models from Partial Observations
Conference paper
LoSeCo: Location-based search computing for pervasive device augmentation
Conference paper
PQC: Personalized query classification
Conference paper
Probabilistic latent preference analysis for collaborative filtering
Conference paper
Relaxed transfer of different classes via spectral partition
Conference paper
Spatio-Temporal Event Detection Using Dynamic Conditional Random Fields
Conference paper
Synthesizing novel dimension reduction algorithms in matrix trace oriented optimization framework
Conference paper
Transfer learning action models by measuring the similarity of different domains
Conference paper
Transfer learning beyond text classification
Conference paper
Transfer learning for collaborative filtering via a rating-matrix generative model
Conference paper
Transfer Learning for Collaborative Filtering via a Rating-Matrix Generative model
Conference paper
Activity recognition via user-trace segmentation
Article
Estimating location using Wi-Fi
Article
Learning Adaptive Temporal Radio Maps for Signal-Strength-Based Location Estimation
Article
Sensor-based abnormal human-activity detection
Article
Top 10 algorithms in data mining
Article
Two-dimensional Laplacianfaces method for face recognition
Article
Adaptive p-posterior mixture-model kernels for multiple instance learning
Conference paper
An algorithm for analyzing personalized online commercial intention
Conference paper
An introduction to transfer learning
Conference paper
Can Chinese web pages be classified with english data
Conference paper
CIGAR: Concurrent and interleaving goal and activity recognition
Conference paper
Constraint projections for ensemble learning
Conference paper
Deep classification in large-scale text hierarchies
Conference paper
Deep classifier: Automatically categorizing search results into large-scale hierarchies
Conference paper
Digital wall: A power-efficient solution for location-based data sharing
Conference paper
Dirichlet component analysis: Feature extraction for compositional data
Conference paper
EigenRank: A ranking-oriented approach to collaborative filtering
Conference paper
Enhancing text clustering by leveraging wikipedia semantics
Conference paper
Evaluation of a Variable Rate Irrigating Hill-Seeder
Conference paper
Learning action models with quantified conditional effects for software requirement specification
Conference paper
Learning and Acting Through Sensors
Conference paper
Learning bidirectional similarity for collaborative filtering
Conference paper
Mining translations of web queries from web click-through data
Conference paper
One-class collaborative filtering
Conference paper
Real world activity recognition with multiple goals
Conference paper
Conference paper
Spectral Domain-Transfer Learning
Conference paper
Structural support vector machine
Conference paper
TOFA: Trace oriented feature analysis in text categorization
Conference paper
Topic-Bridged PLSA for Cross-Domain Text Classification
Conference paper
Transfer learning for WiFi-based indoor localization
Conference paper
Transfer learning via dimensionality reduction
Conference paper
Transferring knowledge from another domain for learning action models
Conference paper
Transferring localization models across space
Conference paper
Transferring localization models over time
Conference paper
Transferring multi-device localization models using latent multi-task learning
Conference paper
Translated Learning: Transfer Learning across Different Feature Spaces
Conference paper
Web query translation via web log mining
Conference paper
A cognitive approach for agent-based personalized recommendation
Article
ARMS: an automatic knowledge engineering tool for learning action models for Al planning
Article
Cost-sensitive-data preprocessing for mining customer relationship management databases
Article
Domain-driven, actionable knowledge discovery
Article
Extracting actionable knowledge from decision trees
Article
Graph embedding and extensions: A general framework for dimensionality reduction
Article
Learning action models from plan examples using weighted MAX-SAT
Article
Learning Actions from Data Mining Models
Article
Learning recursive HTN-method structures for planning
Article
Mining competent case bases for case-based reasoning
Article
Multilinear Discriminant Analysis for Face Recognition
Article
Noise reduction through summarization for web-page classification
Article
Pattern Detection and Co-methylation Analysis of Epigenetic Features in Human Embryonic Stem Cells
Article
Reducing the calibration effort for probabilistic indoor location estimation
Article
Strong compound-risk factors: Efficient discovery through emerging patterns and contrast sets
Article
Article
Adaptive localization in a dynamic WiFi environment through multi-view learning
Conference paper
Boosting for transfer learning
Conference paper
Co-clustering based classification for out-of-domain documents
Conference paper
Co-Localization from Labeled and Unlabeled Data Using Graph Laplacian
Conference paper
Detect and Track Latent Factors with Online Nonnegative Matrix Factorization
Conference paper
Conference paper
Document Summarization using Conditional Random Fields
Conference paper
Document transformation for multi-label feature selection in text categorization
Conference paper
Domain-constrained semi-supervised mining of tracking models in sensor networks
Conference paper
Exploring in the weblog space by detecting informative and affective articles
Conference paper
Feature selection in a kernel space
Conference paper
Guaranteeing enterprise VoIP QoS with novel approach to diffserv AF configuration
Conference paper
Mining web query hierarchies from clickthrough data
Conference paper
Online co-localization in indoor wireless networks by dimension reduction
Conference paper
Semi-supervised learning with very few labeled training examples
Conference paper
Transferring Naive Bayes classifiers for text classification
Conference paper
10 Challenging problems in data mining research
Article
A scalable supervised algorithm for dimensionality reduction on streaming data
Article
Discovering classification from data of multiple sources
Article
Effective and efficient dimensionality reduction for large-scale and streaming data preprocessing
Article
Learning contextual dependency network models for link-based classification
Article
Mining adaptive ratio rules from distributed data sources
Article
Article
Power-efficient access-point selection for indoor location estimation
Article
Query enrichment for Web-query classification
Article
Reinforcing Web-object categorization through interrelationships
Article
Test strategies for cost-sensitive decision trees
Article
Test-cost sensitive classification on data with missing values
Article
A comparison of implicit and explicit links for web page classification
Conference paper
A manifold regularization approach to calibration reduction for sensor-network based tracking
Conference paper
A novel scalable algorithm for supervised subspace learning
Conference paper
Adding semantics to email clustering
Conference paper
Building bridges for web query classification
Conference paper
Diverse topic phrase extraction through latent semantic analysis
Conference paper
Latent friend mining from blog data
Conference paper
Text classification improved through automatically extracted sequences
Conference paper
Text classification improved through multigram models
Conference paper
Thread detaction in dynamic text message streams
Conference paper
Advances in conversational case-based reasoning
Article
An incremental subspace learning algorithm to categorize large scale text data
Article
Deriving a stationary dynamic Bayesian network from a logic program with recursive loops
Article
Guest Editor's Introduction to the Special Issue: Machine Learning for Bioinformatics—Part 2
Article
Guest Editors' Introduction to the Special Issue: Machine Learning for Bioinformatics-Part 1
Article
Guest Editors' Introduction: Data Mining in Bioinformatics
Article
Guest editors’ introduction: Special section on intelligent data preparation
Article
Learning quantifiable associations via principal sparse non-negative matrix factorization
Article
Mining customer value: From association rules to direct marketing
Article
Article
Preprocessing time series data for classification with application to CRM
Article
Q2C@UST: our winning solution to query classification in KDDCUP 2005
Article
Simple test strategies for cost-sensitive decision trees
Article
Accurate and Low-cost Location Estimation Using Kernels
Conference paper
Activity recognition through goal-based segmentation
Conference paper
Adaptive temporal radio maps for indoor location estimation
Conference paper
Competence driven case-base mining
Conference paper
Discriminant analysis with tensor representation
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Program Understanding as Constraint Satisfaction
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Disentangling drivers of air pollutant and health risk changes during the COVID-19 lockdown in China
Efficient Federated Matrix Factorization Against Inference Attacks
FedBCD: A Communication-Efficient Collaborative Learning Framework for Distributed Features
Privacy and Robustness in Federated Learning: Attacks and Defenses
Privacy-preserving Federated Adversarial Domain Adaptation over Feature Groups for Interpretability
Protect, show, attend and tell: Empowering image captioning models with ownership protection
Towards Efficient Synchronous Federated Training: A Survey on System Optimization Strategies
A Mechanism Design Approach for Multi-party Machine Learning
An Efficient Industrial Federated Learning Framework for AIoT: A Face Recognition Application
Practical Lossless Federated Singular Vector Decomposition over Billion-Scale Data
Selective Cross-City Transfer Learning for Traffic Prediction via Source City Region Re-Weighting
Sphinx: Enabling Privacy-Preserving Online Learning over the Cloud
WrapperFL: A Model Agnostic Plug-in for Industrial Federated Learning
FATE: An Industrial Grade Platform for Collaborative Learning with Data Protection
Federated learning-powered visual object detection for safety monitoring
StarFL: Hybrid Federated Learning Architecture for Smart Urban Computing
A Health-friendly Speaker Verification System Supporting Mask Wearing
L2RS: A Learning-to-Rescore Mechanism for Hybrid Speech Recognition
Learning to Assign: Towards Fair Task Assignment in Large-Scale Ride Hailing
Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attacks
QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction
SmartMeeting: Automatic Meeting Transcription and Summarization for In-Person Conversations
SmartSales: An AI-Powered Telemarketing Coaching System in FinTech
TrNews: Heterogeneous User-Interest Transfer Learning for News Recommendation
Addressing the Challenges of Government Service Provision with AI
Federated Learning in Mobile Edge Networks: A Comprehensive Survey
FL-QSAR: a federated learning-based QSAR prototype for collaborative drug discovery
Hierarchical Incentive Mechanism Design for Federated Machine Learning in Mobile Networks
Introduction to the Special Issue on Federated Machine Learning
The Next Breakthroughs of Artificial Intelligence: The Interdisciplinary Nature of AI
A Gamified Research Tool for Incentive Mechanism Design in Federated Learning
Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction
Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks
A De Novo Divide-and-Merge Paradigm for Acoustic Model Optimization in Automatic Speech Recognition
A Multi-player Game for Studying Federated Learning Incentive Schemes
Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSys
Cooperative Multi-Agent Reinforcement Learning in Express System
FedVision: An Online Visual Object Detection Platform Powered by Federated Learning
GoldenRetriever: A Speech Recognition System Powered by Modern Information Retrieval
Learn to Cross-Lingual Transfer with Meta Graph Learning Across Heterogeneous Languages
Network on Network for Tabular Data Classification in Real-world Applications
PrivNet: Safeguarding Private Attributes in Transfer Learning for Recommendation
RPN: A Residual Pooling Network for Efficient Federated Learning
Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning
Transfer Hierarchical Attention Network for Generative Dialog System
Transfer to Rank for Heterogeneous One-Class Collaborative Filtering
Autocross: Automatic Feature Crossing for Tabular Data in Real-world Applications
Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction
Cross-city Transfer Learning for Deep Spatio-temporal Prediction
Easy Transfer Learning by Exploiting Intra-domain Structures
Efficient and Effective Express via Contextual Cooperative Reinforcement Learning
Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes
Hierarchical Heterogeneous Horizontal Federated Learning for EEG
Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion
Privacy-preserving Heterogeneous Federated Transfer Learning
Privacy-preserving stacking with application to cross-organizational diabetes prediction
Rating Worker Skills and Task Strains in Collaborative Crowd Computing: A Competitive Perspective
Separate to Adapt: Open Set Domain Adaptation via Progressive Separation
Social Mobilization to Reposition Indiscriminately Parked Shareable Bikes
Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting
Topic-Aware Dialogue Speech Recognition with Transfer Learning
Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning
Bike Flow Prediction With Multi-graph Convolutional Networks
CoNet: Collaborative Cross Networks for Cross-domain Recommendation
CoNet: Collaborative Cross Networks for Cross-Domain Recommendation
Dynamic Bike Reposition: A Spatio-temporal Reinforcement Learning Approach
Hierarchical Attention Transfer Network for Cross-domain Sentiment Classification
Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN
Personalizing a Dialogue System with Transfer Reinforcement Learning
Smarths: An AI platform for improving government service provision
Transfer Learning via Learning to Transfer: Supplementary Material
Transferable Contextual Bandit for Cross-Domain Recommendation
Deep Neural Networks for High Dimension, Low Sample Size Data
End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification
Transfer Learning From APP Domain to News Domain for Dual Cold-start Recommendation
Transitive Hashing Network for Heterogeneous Multimedia Retrieval
Understanding How Feature Structure Transfers in Transfer Learning
Heterogeneous Translated Hashing: A Scalable Solution Towards Multi-modal Similarity Search
Individual Judgments Versus Consensus: Estimating Query-URL Relevance
Telco User Activity Level Prediction with Massive Mobile Broadband Data
Temporal Skeletonization on Sequential Data: Patterns, Categorization, and Visualization
Transfer Learning for Semisupervised Collaborative Recommendation
Modeling Neuron Selectivity Over Simple Midlevel Features for Image Classification
PBOOST: a GPU-based tool for parallel permutation tests in genome-wide association studies