Qiang Yang

Affiliations:
  • Hong Kong University of Science and Technology, Department of Computer Science, Kowloon, Hong Kong
  • Simon Fraser University, Burnaby, BC, Canada (former)
  • University of Waterloo, Waterloo, Ontario, Canada (former)


According to our database1, Qiang Yang authored at least 639 papers between 1989 and 2023.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Towards Personalized Federated Learning.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Trading Off Privacy, Utility, and Efficiency in Federated Learning.
ACM Trans. Intell. Syst. Technol., December, 2023

Global Trends in the Study of Smart Healthcare Systems for the Elderly: Artificial Intelligence Solutions.
Int. J. Comput. Intell. Syst., December, 2023

Transfer learning for collaborative recommendation with biased and unbiased data.
Artif. Intell., November, 2023

Privacy-preserving graph convolution network for federated item recommendation.
Artif. Intell., November, 2023

Realizing the Metaverse with Edge Intelligence: A Match Made in Heaven.
IEEE Wirel. Commun., August, 2023

LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization.
ACM Trans. Knowl. Discov. Data, May, 2023

A Generic Federated Recommendation Framework via Fake Marks and Secret Sharing.
ACM Trans. Inf. Syst., April, 2023

Towards Efficient Synchronous Federated Training: A Survey on System Optimization Strategies.
IEEE Trans. Big Data, April, 2023

FedIPR: Ownership Verification for Federated Deep Neural Network Models.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

CAreFL: Enhancing smart healthcare with Contribution-Aware Federated Learning.
AI Mag., 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

Enhance Mono-modal Sentiment Classification with Federated Cross-modal Transfer.
IEEE Data Eng. Bull., 2023

A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning.
CoRR, 2023

The Good, The Bad, and Why: Unveiling Emotions in Generative AI.
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

A Survey for Federated Learning Evaluations: Goals and Measures.
CoRR, 2023

SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning.
CoRR, 2023

A Survey on Evaluation of Large Language Models.
CoRR, 2023

A Meta-learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning.
CoRR, 2023

Theoretically Principled Federated Learning for Balancing Privacy and Utility.
CoRR, 2023

FedSOV: Federated Model Secure Ownership Verification with Unforgeable Signature.
CoRR, 2023

FedZKP: Federated Model Ownership Verification with Zero-knowledge Proof.
CoRR, 2023

Towards Achieving Near-optimal Utility for Privacy-Preserving Federated Learning via Data Generation and Parameter Distortion.
CoRR, 2023

Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning.
CoRR, 2023

Learn to Cluster Faces with Better Subgraphs.
CoRR, 2023

A Game-theoretic Framework for Federated Learning.
CoRR, 2023

Probably Approximately Correct Federated Learning.
CoRR, 2023

Federated Learning without Full Labels: A Survey.
CoRR, 2023

A Full Dive Into Realizing the Edge-Enabled Metaverse: Visions, Enabling Technologies, and Challenges.
IEEE Commun. Surv. Tutorials, 2023

Achieving Provable Byzantine Fault-tolerance in a Semi-honest Federated Learning Setting.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Multi-task Learning Based Keywords Weighted Siamese Model for Semantic Retrieval.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

The 12th International Workshop on Urban Computing.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Transferable Graph Structure Learning for Graph-based Traffic Forecasting Across Cities.
Proceedings of the 29th ACM SIGKDD Conference on 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

Distribution-Regularized Federated Learning on Non-IID Data.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022
FedBCD: A Communication-Efficient Collaborative Learning Framework for Distributed Features.
IEEE Trans. Signal Process., 2022

A Survey on Multi-Task Learning.
IEEE Trans. Knowl. Data Eng., 2022

Preface to Federated Learning: Algorithms, Systems, and Applications: Part 2.
ACM Trans. Intell. Syst. Technol., 2022

Introduction to the Special Issue on the Federated Learning: Algorithms, Systems, and Applications: Part 1.
ACM Trans. Intell. Syst. Technol., 2022

Efficient Federated Matrix Factorization Against Inference Attacks.
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

Semi-Supervised Federated Heterogeneous Transfer Learning.
Knowl. Based Syst., 2022

FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders.
CoRR, 2022

Vertical Federated Learning.
CoRR, 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

Accelerating Vertical Federated Learning.
CoRR, 2022

Federated Learning with Quantum Secure Aggregation.
CoRR, 2022

An Efficient Industrial Federated Learning Framework for AIoT: A Face Recognition Application.
CoRR, 2022

WrapperFL: A Model Agnostic Plug-in for Industrial Federated Learning.
CoRR, 2022

FadMan: Federated Anomaly Detection across Multiple Attributed Networks.
CoRR, 2022

The New Faculty Highlights Program at AAAI-21.
AI Mag., 2022

Sphinx: Enabling Privacy-Preserving Online Learning over the Cloud.
Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

The 11th International Workshop on Urban Computing.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Selective Cross-City Transfer Learning for Traffic Prediction via Source City Region Re-Weighting.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Practical Lossless Federated Singular Vector Decomposition over Billion-Scale Data.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Practical and Secure Federated Recommendation with Personalized Mask.
Proceedings of the Trustworthy Federated Learning - First International Workshop, 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

On the Channel Pruning using Graph Convolution Network for Convolutional Neural Network Acceleration.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

A Mechanism Design Approach for Multi-party Machine Learning.
Proceedings of the Frontiers of Algorithmic Wisdom, 2022

Cross-domain Cross-architecture Black-box Attacks on Fine-tuned Models with Transferred Evolutionary Strategies.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Contribution-Aware Federated Learning for Smart Healthcare.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Industrial Federated Topic Modeling.
ACM Trans. Intell. Syst. Technol., 2021

A GDPR-compliant Ecosystem for Speech Recognition with Transfer, Federated, and Evolutionary Learning.
ACM Trans. Intell. Syst. Technol., 2021

StarFL: Hybrid Federated Learning Architecture for Smart Urban Computing.
ACM Trans. Intell. Syst. Technol., 2021

Toward Responsible AI: An Overview of Federated Learning for User-centered Privacy-preserving Computing.
ACM Trans. Interact. Intell. Syst., 2021

FATE: An Industrial Grade Platform for Collaborative Learning With Data Protection.
J. Mach. Learn. Res., 2021

Data science and AI in FinTech: an overview.
Int. J. Data Sci. Anal., 2021

Correction to: Transfer Hierarchical Attention Network for Generative Dialog System.
Int. J. Autom. Comput., 2021

Advances and Open Problems in Federated Learning.
Found. Trends Mach. Learn., 2021

SecureBoost: A Lossless Federated Learning Framework.
IEEE Intell. Syst., 2021

Secure Federated Matrix Factorization.
IEEE Intell. Syst., 2021

Q-learning based flexible task scheduling in a global view for the Internet of Things.
Trans. Emerg. Telecommun. Technol., 2021

Social explorative attention based recommendation for content distribution platforms.
Data Min. Knowl. Discov., 2021

Defending Label Inference and Backdoor Attacks in Vertical Federated Learning.
CoRR, 2021

Privacy-preserving Federated Adversarial Domain Adaption over Feature Groups for Interpretability.
CoRR, 2021

FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning.
CoRR, 2021

SecureBoost+ : A High Performance Gradient Boosting Tree Framework for Large Scale Vertical Federated Learning.
CoRR, 2021

FedIPR: Ownership Verification for Federated Deep Neural Network Models.
CoRR, 2021

Federated Deep Learning with Bayesian Privacy.
CoRR, 2021

Practical and Secure Federated Recommendation with Personalized Masks.
CoRR, 2021

CityNet: A Multi-city Multi-modal Dataset for Smart City Applications.
CoRR, 2021

Federated Singular Vector Decomposition.
CoRR, 2021

Ternary Hashing.
CoRR, 2021

A Game-theoretic Approach Towards Collaborative Coded Computation Offloading.
CoRR, 2021

Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attack.
CoRR, 2021

Self-supervised Cross-silo Federated Neural Architecture Search.
CoRR, 2021

FL-QSAR: a federated learning-based QSAR prototype for collaborative drug discovery.
Bioinform., 2021

Federated Learning-Powered Visual Object Detection for Safety Monitoring.
AI Mag., 2021

SmartSales: An AI-Powered Telemarketing Coaching System in FinTech.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

SmartMeeting: Automatic Meeting Transcription and Summarization for In-Person Conversations.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 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

Learning to Assign: Towards Fair Task Assignment in Large-Scale Ride Hailing.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

TrNews: Heterogeneous User-Interest Transfer Learning for News Recommendation.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Protecting Intellectual Property of Generative Adversarial Networks From Ambiguity Attacks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

A Health-friendly Speaker Verification System Supporting Mask Wearing.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Federated Recommendation Systems.
Proceedings of the Federated Learning - Privacy and Incentive, 2020

Threats to Federated Learning.
Proceedings of the Federated Learning - Privacy and Incentive, 2020

Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction.
Proceedings of the Federated Learning - Privacy and Incentive, 2020

Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks.
Proceedings of the Federated Learning - Privacy and Incentive, 2020

A Gamified Research Tool for Incentive Mechanism Design in Federated Learning.
Proceedings of the Federated Learning - Privacy and Incentive, 2020

Transfer Learning with Dynamic Distribution Adaptation.
ACM Trans. Intell. Syst. Technol., 2020

Message From the Outgoing Editor-in-Chief.
IEEE Trans. Big Data, 2020

Hierarchical Incentive Mechanism Design for Federated Machine Learning in Mobile Networks.
IEEE Internet Things J., 2020

A Sustainable Incentive Scheme for Federated Learning.
IEEE Intell. Syst., 2020

Introduction to the Special Issue on Federated Machine Learning.
IEEE Intell. Syst., 2020

A Secure Federated Transfer Learning Framework.
IEEE Intell. Syst., 2020

Privacy and Robustness in Federated Learning: Attacks and Defenses.
CoRR, 2020

Rethinking Uncertainty in Deep Learning: Whether and How it Improves Robustness.
CoRR, 2020

FedEval: A Benchmark System with a Comprehensive Evaluation Model for Federated Learning.
CoRR, 2020

Protect, Show, Attend and Tell: Image Captioning Model with Ownership Protection.
CoRR, 2020

FedML: A Research Library and Benchmark for Federated Machine Learning.
CoRR, 2020

Privacy Threats Against Federated Matrix Factorization.
CoRR, 2020

Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks.
CoRR, 2020

Incentive Mechanism Design for Resource Sharing in Collaborative Edge Learning.
CoRR, 2020

Graph Random Neural Network.
CoRR, 2020

Threats to Federated Learning: A Survey.
CoRR, 2020

A Survey towards Federated Semi-supervised Learning.
CoRR, 2020

Mechanism Design for Multi-Party Machine Learning.
CoRR, 2020

Federated Learning in Mobile Edge Networks: A Comprehensive Survey.
IEEE Commun. Surv. Tutorials, 2020

Federated learning for privacy-preserving AI.
Commun. ACM, 2020

Addressing the Challenges of Government Service Provision with AI.
AI Mag., 2020

Network On Network for Tabular Data Classification in Real-world Applications.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Fisher Deep Domain Adaptation.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Exploring Clustering of Bandits for Online Recommendation System.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

A Federated Recommender System for Online Services.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Graph Random Neural Networks for Semi-Supervised Learning on Graphs.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

GoldenRetriever: A Speech Recognition System Powered by Modern Information Retrieval.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Advances in Recommender Systems: From Multi-stakeholder Marketplaces to Automated RecSys.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

A De Novo Divide-and-Merge Paradigm for Acoustic Model Optimization in Automatic Speech Recognition.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

A Multi-player Game for Studying Federated Learning Incentive Schemes.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learn to Cross-lingual Transfer with Meta Graph Learning Across Heterogeneous Languages.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

PrivNet: Safeguarding Private Attributes in Transfer Learning for Recommendation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

RPN: A Residual Pooling Network for Efficient Federated Learning.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Cooperative Multi-Agent Reinforcement Learning in Express System.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 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

A Fairness-aware Incentive Scheme for Federated Learning.
Proceedings of the AIES '20: AAAI/ACM Conference on AI, 2020

FedVision: An Online Visual Object Detection Platform Powered by Federated Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Federated Learning
Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, ISBN: 978-3-031-01585-4, 2019

Transfer to Rank for Heterogeneous One-Class Collaborative Filtering.
ACM Trans. Inf. Syst., 2019

Federated Machine Learning: Concept and Applications.
ACM Trans. Intell. Syst. Technol., 2019

State of the Journal.
IEEE Trans. Big Data, 2019

Millionaire: a hint-guided approach for crowdsourcing.
Mach. Learn., 2019

Introduction to the special issue on Big Data, IoT Streams and Heterogeneous Source Mining.
Int. J. Data Sci. Anal., 2019

Transfer Hierarchical Attention Network for Generative Dialog System.
Int. J. Autom. Comput., 2019

A Communication Efficient Vertical Federated Learning Framework.
CoRR, 2019

Advances and Open Problems in Federated Learning.
CoRR, 2019

A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression.
CoRR, 2019

L2RS: A Learning-to-Rescore Mechanism for Automatic Speech Recognition.
CoRR, 2019

Real-World Image Datasets for Federated Learning.
CoRR, 2019

Federated Transfer Reinforcement Learning for Autonomous Driving.
CoRR, 2019

HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalography.
CoRR, 2019

Multi-Modal Graph Interaction for Multi-Graph Convolution Network in Urban Spatiotemporal Forecasting.
CoRR, 2019

AutoML @ NeurIPS 2018 challenge: Design and Results.
CoRR, 2019

SecureBoost: A Lossless Federated Learning Framework.
CoRR, 2019

Federated Reinforcement Learning.
CoRR, 2019

Ridesharing car detection by transfer learning.
Artif. Intell., 2019

Rating Worker Skills and Task Strains in Collaborative Crowd Computing: A Competitive Perspective.
Proceedings of the World Wide Web Conference, 2019

Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text.
Proceedings of the World Wide Web Conference, 2019

Parameter Transfer Unit for Deep Neural Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Efficient and Effective Express via Contextual Cooperative Reinforcement Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Topic-Aware Dialogue Speech Recognition with Transfer Learning.
Proceedings of the Interspeech 2019, 2019

Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Multi-Agent Visualization for Explaining Federated Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Cross-City Transfer Learning for Deep Spatio-Temporal Prediction.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Fair and Explainable Dynamic Engagement of Crowd Workers.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Easy Transfer Learning By Exploiting Intra-Domain Structures.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Chameleon: A Language Model Adaptation Toolkit for Automatic Speech Recognition of Conversational Speech.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Separate to Adapt: Open Set Domain Adaptation via Progressive Separation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning to Transfer Examples for Partial Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Federated Topic Modeling.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Federated Recommendation Systems.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Privacy-preserving Heterogeneous Federated Transfer Learning.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Social Mobilization to Reposition Indiscriminately Parked Shareable Bikes.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
State of the Journal Editorial.
IEEE Trans. Big Data, 2018

Secure Federated Transfer Learning.
CoRR, 2018

Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification.
CoRR, 2018

Privacy-preserving Transfer Learning for Knowledge Sharing.
CoRR, 2018

Taking Human out of Learning Applications: A Survey on Automated Machine Learning.
CoRR, 2018

Cross-domain Dialogue Policy Transfer via Simultaneous Speech-act and Slot Alignment.
CoRR, 2018

LCMR: Local and Centralized Memories for Collaborative Filtering with Unstructured Text.
CoRR, 2018

Crowd Flow Prediction by Deep Spatio-Temporal Transfer Learning.
CoRR, 2018

Smart City Development With Urban Transfer Learning.
Computer, 2018

Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Learning to Multitask.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Societal Impact of Data Science and Artificial Intelligence.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Dynamic Bike Reposition: A Spatio-Temporal Reinforcement Learning Approach.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Building Ethics into Artificial Intelligence.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Transfer Learning via Learning to Transfer.
Proceedings of the 35th International Conference on Machine Learning, 2018

Opportunistic Work-Rest Scheduling for Productive Aging.
Proceedings of the Social Computing and Social Media. Technologies and Analytics, 2018

Bike flow prediction with multi-graph convolutional networks.
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

CoNet: Collaborative Cross Networks for Cross-Domain Recommendation.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

SmartHS: An AI Platform for Improving Government Service Provision.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Personalizing a Dialogue System With Transfer Reinforcement Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Transferable Contextual Bandit for Cross-Domain Recommendation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Hierarchical Attention Transfer Network for Cross-Domain Sentiment Classification.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Transfer Learning for Behavior Ranking.
ACM Trans. Intell. Syst. Technol., 2017

Big Data.
IEEE Intell. Syst., 2017

Fine Grained Knowledge Transfer for Personalized Task-oriented Dialogue Systems.
CoRR, 2017

Integrating User and Agent Models: A Deep Task-Oriented Dialogue System.
CoRR, 2017

Flexible End-to-End Dialogue System for Knowledge Grounded Conversation.
CoRR, 2017

Learning to Transfer.
CoRR, 2017

Ridesourcing Car Detection by Transfer Learning.
CoRR, 2017

A unified framework of active transfer learning for cross-system recommendation.
Artif. Intell., 2017

Transfer Learning from APP Domain to News Domain for Dual Cold-Start Recommendation.
Proceedings of the 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning co-located with ACM Conference on Recommender Systems (RecSys 2017), 2017

The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Understanding How Feature Structure Transfers in Transfer Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Deep Neural Networks for High Dimension, Low Sample Size Data.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

When Deep Learning Meets Transfer Learning.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Learning Sparse Task Relations in Multi-Task Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Distant Domain Transfer Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Transitive Hashing Network for Heterogeneous Multimedia Retrieval.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Individual Judgments Versus Consensus: Estimating Query-URL Relevance.
ACM Trans. Web, 2016

Temporal Skeletonization on Sequential Data: Patterns, Categorization, and Visualization.
IEEE Trans. Knowl. Data Eng., 2016

Heterogeneous Translated Hashing: A Scalable Solution Towards Multi-Modal Similarity Search.
ACM Trans. Knowl. Discov. Data, 2016

Telco User Activity Level Prediction with Massive Mobile Broadband Data.
ACM Trans. Intell. Syst. Technol., 2016

Transfer Learning for Semisupervised Collaborative Recommendation.
ACM Trans. Interact. Intell. Syst., 2016

Personalizing a Dialogue System with Transfer Learning.
CoRR, 2016

Partially Observable Markov Decision Process for Recommender Systems.
CoRR, 2016

Transitive Hashing Network for Heterogeneous Multimedia Retrieval.
CoRR, 2016

Cross-Domain Data Fusion.
Computer, 2016

The Lifecycle and Cascade of WeChat Social Messaging Groups.
Proceedings of the 25th International Conference on World Wide Web, 2016

Correlated Tag Learning in Topic Model.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Transfer Knowledge between Cities.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

City-Scale Map Creation and Updating using GPS Collections.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Deep Visual-Semantic Hashing for Cross-Modal Retrieval.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Matrix Factorization+ for Movie Recommendation.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Collaborative Evolution for User Profiling in Recommender Systems.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Multi-Domain Active Learning for Recommendation.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Infusing Human Factors into Algorithmic Crowdsourcing.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Instilling Social to Physical: Co-Regularized Heterogeneous Transfer Learning.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Modeling Neuron Selectivity Over Simple Midlevel Features for Image Classification.
IEEE Trans. Image Process., 2015

Introduction to the IEEE Transactions on Big Data.
IEEE Trans. Big Data, 2015

Differential Privacy in Telco Big Data Platform.
Proc. VLDB Endow., 2015

The Lifecycle and Cascade of Social Messaging Groups.
CoRR, 2015

PBOOST: a GPU-based tool for parallel permutation tests in genome-wide association studies.
Bioinform., 2015

Scalable Parallel EM Algorithms for Latent Dirichlet Allocation in Multi-Core Systems.
Proceedings of the 24th International Conference on World Wide Web, 2015

Question Classification by Approximating Semantics.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Telco Churn Prediction with Big Data.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

User Modeling in Telecommunications and Internet Industry.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Transitive Transfer Learning.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Sampling Big Trajectory Data.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Mining target users for online marketing based on App Store data.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Efficient Task Sub-Delegation for Crowdsourcing.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

RAIN: Social Role-Aware Information Diffusion.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Spectral Label Refinement for Noisy and Missing Text Labels.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Content-Based Collaborative Filtering for News Topic Recommendation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Transfer Learning with Graph Co-Regularization.
IEEE Trans. Knowl. Data Eng., 2014

User behavior learning and transfer in composite social networks.
ACM Trans. Knowl. Discov. Data, 2014

Multi-transfer: Transfer learning with multiple views and multiple sources.
Stat. Anal. Data Min., 2014

OceanST: A Distributed Analytic System for Large-Scale Spatiotemporal Mobile Broadband Data.
Proc. VLDB Endow., 2014

Bird Flu Outbreak Prediction via Satellite Tracking.
IEEE Intell. Syst., 2014

Friendship Prediction in Composite Social Networks.
CoRR, 2014

Towards Topic Modeling for Big Data.
CoRR, 2014

Learning hierarchical task network domains from partially observed plan traces.
Artif. Intell., 2014

Action-model acquisition for planning via transfer learning.
Artif. Intell., 2014

Adaptive User Distance Modeling in Social Media.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Mixed-Transfer: Transfer Learning over Mixed Graphs.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Linking Heterogeneous Input Spaces with Pivots for Multi-Task Learning.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Music Emotion Recognition by Multi-label Multi-layer Multi-instance Multi-view Learning.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Crowdsourced time-sync video tagging using temporal and personalized topic modeling.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Scalable heterogeneous translated hashing.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Temporal skeletonization on sequential data: patterns, categorization, and visualization.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Preface.
Proceedings of the 3rd International Workshop on Big Data, 2014

Source Free Transfer Learning for Text Classification.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
HapBoost: A Fast Approach to Boosting Haplotype Association Analyses in Genome-Wide Association Studies.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013

Feature engineering for semantic place prediction.
Pervasive Mob. Comput., 2013

User demographics prediction based on mobile data.
Pervasive Mob. Comput., 2013

Artificial Intelligence on Mobile Devices: An Introduction to the Special Issue.
AI Mag., 2013

Transfer learning in heterogeneous collaborative filtering domains.
Artif. Intell., 2013

Big data, lifelong machine learning and transfer learning.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Selective Transfer Learning for Cross Domain Recommendation.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

SMART: Semi-Supervised Music Emotion Recognition with Social Tagging.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Contextual rule-based feature engineering for author-paper identification.
Proceedings of the 2013 KDD Cup 2013 Workshop, 2013

Modeling the dynamics of composite social networks.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Collaborative boosting for activity classification in microblogs.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Cross-task crowdsourcing.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels.
Proceedings of the 30th International Conference on Machine Learning, 2013

General Functional Matrix Factorization Using Gradient Boosting.
Proceedings of the 30th International Conference on Machine Learning, 2013

Predicting user activity level in social networks.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Lifelong Machine Learning Systems: Beyond Learning Algorithms.
Proceedings of the Lifelong Machine Learning, 2013

Active Transfer Learning for Cross-System Recommendation.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Crafting Your Research Future: A Guide to Successful Master's and Ph.D. Degrees in Science & Engineering
Synthesis Lectures on Engineering, Morgan & Claypool Publishers, ISBN: 978-3-031-79351-6, 2012

Introduction to the Special Section on the 2nd Asia Conference on Machine Learning (ACML 2010).
ACM Trans. Intell. Syst. Technol., 2012

Tracking Mobile Users in Wireless Networks via Semi-Supervised Colocalization.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Rating Prediction with Informative Ensemble of Multi-Resolution Dynamic Models.
Proceedings of KDD Cup 2011 competition, San Diego, CA, USA, 2011, 2012

Preface.
J. Comput. Sci. Technol., 2012

Where Is the User in Multimedia Retrieval?
IEEE Multim., 2012

SMS Spam Detection Using Noncontent Features.
IEEE Intell. Syst., 2012

Inferring Taxi Status Using GPS Trajectories
CoRR, 2012

Towards mobile intelligence: Learning from GPS history data for collaborative recommendation.
Artif. Intell., 2012

A habit mining approach for discovering similar mobile users.
Proceedings of the 21st World Wide Web Conference 2012, 2012

Personalized click model through collaborative filtering.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

A noise-aware click model for web search.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Beyond ten blue links: enabling user click modeling in federated web search.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

A Machine Learning Approach for Instance Matching Based on Similarity Metrics.
Proceedings of the Semantic Web - ISWC 2012, 2012

Contextual Collaborative Filtering via Hierarchical Matrix Factorization.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Discriminative Factor Alignment across Heterogeneous Feature Space.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Action-Model Based Multi-agent Plan Recognition.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

A Demonstration of Mining Significant Places from Cell ID Trajectories through a Geo-grid Based Approach.
Proceedings of the 13th IEEE International Conference on Mobile Data Management, 2012

Mining Significant Places from Cell ID Trajectories: A Geo-grid Based Approach.
Proceedings of the 13th IEEE International Conference on Mobile Data Management, 2012

Transfer Learning and Applications.
Proceedings of the Intelligent Information Processing VI, 2012

Surrounding context and episode awareness using dynamic Bluetooth data.
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012

Social recommendation across multiple relational domains.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Social contextual recommendation.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Cross-Domain Co-Extraction of Sentiment and Topic Lexicons.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

Discovering Spammers in Social Networks.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

A Mouse-Trajectory Based Model for Predicting Query-URL Relevance.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

Transfer Learning in Collaborative Filtering with Uncertain Ratings.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

Transfer Learning for Text Mining.
Proceedings of the Mining Text Data, 2012

2011
Structural Regularized Support Vector Machine: A Framework for Structural Large Margin Classifier.
IEEE Trans. Neural Networks, 2011

Domain Adaptation via Transfer Component Analysis.
IEEE Trans. Neural Networks, 2011

Trace-Oriented Feature Analysis for Large-Scale Text Data Dimension Reduction.
IEEE Trans. Knowl. Data Eng., 2011

Introduction to the special issue on intelligent systems for activity recognition.
ACM Trans. Intell. Syst. Technol., 2011

Introduction to special issue on computational sustainability.
ACM Trans. Intell. Syst. Technol., 2011

Multitask Learning for Protein Subcellular Location Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011

A conversation with the Chinese KDD leaders.
SIGKDD Explor., 2011

Cross-domain activity recognition via transfer learning.
Pervasive Mob. Comput., 2011

Best papers from the Fifth International Conference on Advanced Data Mining and Applications (ADMA 2009).
Knowl. Inf. Syst., 2011

A Survey of Transfer and Multitask Learning in Bioinformatics.
J. Comput. Sci. Eng., 2011

Multi-platform gene-expression mining and marker gene analysis.
Int. J. Data Min. Bioinform., 2011

Learning bidirectional asymmetric similarity for collaborative filtering via matrix factorization.
Data Min. Knowl. Discov., 2011

A hidden two-locus disease association pattern in genome-wide association studies.
BMC Bioinform., 2011

The choice of null distributions for detecting gene-gene interactions in genome-wide association studies.
BMC Bioinform., 2011

Identifying disease-associated SNP clusters via contiguous outlier detection.
Bioinform., 2011

Transfer Learning by Reusing Structured Knowledge.
AI Mag., 2011

Characterizing search intent diversity into click models.
Proceedings of the 20th International Conference on World Wide Web, 2011

Wisdom of the better few: cold start recommendation via representative based rating elicitation.
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

Hunting or waiting? Discovering passenger-finding strategies from a large-scale real-world taxi dataset.
Proceedings of the Ninth Annual IEEE International Conference on Pervasive Computing and Communications, 2011

User-click modeling for understanding and predicting search-behavior.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Query-Adaptive Ranking with Support Vector Machines for Protein Homology Prediction.
Proceedings of the Bioinformatics Research and Applications - 7th International Symposium, 2011

User-Dependent Aspect Model for Collaborative Activity Recognition.
Proceedings of the IJCAI 2011, 2011

Source-Selection-Free Transfer Learning.
Proceedings of the IJCAI 2011, 2011

Transfer Learning to Predict Missing Ratings via Heterogeneous User Feedbacks.
Proceedings of the IJCAI 2011, 2011

Incorporating Reviewer and Product Information for Review Rating Prediction.
Proceedings of the IJCAI 2011, 2011

Transfer Learning for Activity Recognition via Sensor Mapping.
Proceedings of the IJCAI 2011, 2011

Distance Metric Learning under Covariate Shift.
Proceedings of the IJCAI 2011, 2011

Characterizing Inverse Time Dependency in Multi-class Learning.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Transferring topical knowledge from auxiliary long texts for short text clustering.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Learning action models for multi-agent planning.
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

Cross-Domain Action-Model Acquisition for Planning via Web Search.
Proceedings of the 21st International Conference on Automated Planning and Scheduling, 2011

Heterogeneous Transfer Learning for Image Classification.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Transfer Learning by Structural Analogy.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Active Dual Collaborative Filtering with Both Item and Attribute Feedback.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

A Whole Page Click Model to Better Interpret Search Engine Click Data.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Activity Recognition from Trajectory Data.
Proceedings of the Computing with Spatial Trajectories, 2011

2010
Learning with Positive and Unlabeled Examples Using Topic-Sensitive PLSA.
IEEE Trans. Knowl. Data Eng., 2010

Bridging Domains Using World Wide Knowledge for Transfer Learning.
IEEE Trans. Knowl. Data Eng., 2010

A Survey on Transfer Learning.
IEEE Trans. Knowl. Data Eng., 2010

Introduction to ACM TIST.
ACM Trans. Intell. Syst. Technol., 2010

Preface.
Proceedings of the 2nd Asian Conference on Machine Learning, 2010

Three challenges in data mining.
Frontiers Comput. Sci. China, 2010

Social Learning.
IEEE Intell. Syst., 2010

Introduction to Mobile Information Retrieval.
IEEE Intell. Syst., 2010

Acquiring knowledge from inconsistent data sources through weighting.
Data Knowl. Eng., 2010

Vlogging: A survey of videoblogging technology on the web.
ACM Comput. Surv., 2010

BOOST: A fast approach to detecting gene-gene interactions in genome-wide case-control studies
CoRR, 2010

Identifying main effects and epistatic interactions from large-scale SNP data via adaptive group Lasso.
BMC Bioinform., 2010

Multi-task learning for cross-platform siRNA efficacy prediction: an in-silico study.
BMC Bioinform., 2010

<i>In-silico </i>prediction of blood-secretory human proteins using a ranking algorithm.
BMC Bioinform., 2010

Detecting two-locus associations allowing for interactions in genome-wide association studies.
Bioinform., 2010

Predictive rule inference for epistatic interaction detection in genome-wide association studies.
Bioinform., 2010

Learning complex action models with quantifiers and logical implications.
Artif. Intell., 2010

Collaborative location and activity recommendations with GPS history data.
Proceedings of the 19th International Conference on World Wide Web, 2010

Cross-domain sentiment classification via spectral feature alignment.
Proceedings of the 19th International Conference on World Wide Web, 2010

Predictive Modeling with Heterogeneous Sources.
Proceedings of the SIAM International Conference on Data Mining, 2010

Generalized and Heuristic-Free Feature Construction for Improved Accuracy.
Proceedings of the SIAM International Conference on Data Mining, 2010

Online evolutionary collaborative filtering.
Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Indoor localization in multi-floor environments with reduced effort.
Proceedings of the Eigth Annual IEEE International Conference on Pervasive Computing and Communications, 2010

Transfer Learning for Collective Link Prediction in Multiple Heterogenous Domains.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Unifying explicit and implicit feedback for collaborative filtering.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

An effective approach for mining mobile user habits.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Predicting chemical activities from structures by attributed molecular graph classification.
Proceedings of the 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2010

Relational network-service clustering analysis with set evidences.
Proceedings of the 3rd ACM Workshop on Security and Artificial Intelligence, 2010

Protein-protein interaction prediction via Collective Matrix Factorization.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

SimpleTrPPI: A simple method for transferring knowledge between interaction networks for PPI prediction.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010

Collaborative Filtering Meets Mobile Recommendation: A User-Centered Approach.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Transfer Learning in Collaborative Filtering for Sparsity Reduction.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Visual Contextual Advertising: Bringing Textual Advertisements to Images.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Clickthrough Log Analysis by Collaborative Ranking.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Adaptive Transfer Learning.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
User language model for collaborative personalized search.
ACM Trans. Inf. Syst., 2009

Discriminatively regularized least-squares classification.
Pattern Recognit., 2009

Editorial: special issue on selected papers of PAKDD 2007.
Knowl. Inf. Syst., 2009

Semantic Sensor Net: an extensible framework.
Int. J. Ad Hoc Ubiquitous Comput., 2009

Semi-supervised protein subcellular localization.
BMC Bioinform., 2009

MegaSNPHunter: a learning approach to detect disease predisposition SNPs and high level interactions in genome wide association study.
BMC Bioinform., 2009

SNPHarvester: a filtering-based approach for detecting epistatic interactions in genome-wide association studies.
Bioinform., 2009

Identifying vertical search intention of query through social tagging propagation.
Proceedings of the 18th International Conference on World Wide Web, 2009

Context-aware query classification.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Relaxed Transfer of Different Classes via Spectral Partition.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

HIPS: A Calibration-less Hybrid Indoor Positioning System Using Heterogeneous Sensors.
Proceedings of the Seventh Annual IEEE International Conference on Pervasive Computing and Communications, 2009

Message from the Workshop Co-Organizers.
Proceedings of the Seventh Annual IEEE International Conference on Pervasive Computing and Communications, 2009

LoSeCo: Location-based Search Computing for Pervasive Device Augmentation.
Proceedings of the Seventh Annual IEEE International Conference on Pervasive Computing and Communications, 2009

Transfer Learning Action Models by Measuring the Similarity of Different Domains.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Learning HTN Method Preconditions and Action Models from Partial Observations.
Proceedings of the IJCAI 2009, 2009

Spatio-Temporal Event Detection Using Dynamic Conditional Random Fields.
Proceedings of the IJCAI 2009, 2009

Activity Recognition: Linking Low-level Sensors to High-level Intelligence.
Proceedings of the IJCAI 2009, 2009

Can Movies and Books Collaborate? Cross-Domain Collaborative Filtering for Sparsity Reduction.
Proceedings of the IJCAI 2009, 2009

Abnormal Activity Recognition Based on HDP-HMM Models.
Proceedings of the IJCAI 2009, 2009

Transfer learning for collaborative filtering via a rating-matrix generative model.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

EigenTransfer: a unified framework for transfer learning.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Synthesizing Novel Dimension Reduction Algorithms in Matrix Trace Oriented Optimization Framework.
Proceedings of the ICDM 2009, 2009

Knowledge Transfer among Heterogeneous Information Networks.
Proceedings of the ICDM Workshops 2009, 2009

Constraint-Based Case-Based Planning Using Weighted MAX-SAT.
Proceedings of the Case-Based Reasoning Research and Development, 2009

Cross-domain activity recognition.
Proceedings of the UbiComp 2009: Ubiquitous Computing, 2009

Joint learning user's activities and profiles from GPS data.
Proceedings of the 2009 International Workshop on Location Based Social Networks, 2009

Exploiting term relationship to boost text classification.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Probabilistic latent preference analysis for collaborative filtering.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

PQC: personalized query classification.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Transfer Learning beyond Text Classification.
Proceedings of the Advances in Machine Learning, 2009

Context-Aware Online Commercial Intention Detection.
Proceedings of the Advances in Machine Learning, 2009

Heterogeneous Transfer Learning for Image Clustering via the SocialWeb.
Proceedings of the ACL 2009, 2009

2008
Activity recognition via user-trace segmentation.
ACM Trans. Sens. Networks, 2008

Learning Adaptive Temporal Radio Maps for Signal-Strength-Based Location Estimation.
IEEE Trans. Mob. Comput., 2008

Sensor-Based Abnormal Human-Activity Detection.
IEEE Trans. Knowl. Data Eng., 2008

Two-dimensional Laplacianfaces method for face recognition.
Pattern Recognit., 2008

Top 10 algorithms in data mining.
Knowl. Inf. Syst., 2008

Estimating Location Using Wi-Fi.
IEEE Intell. Syst., 2008

Can chinese web pages be classified with english data source?
Proceedings of the 17th International Conference on World Wide Web, 2008

Deep classifier: automatically categorizing search results into large-scale hierarchies.
Proceedings of the International Conference on Web Search and Web Data Mining, 2008

Personal name classification in web queries.
Proceedings of the International Conference on Web Search and Web Data Mining, 2008

Deep classification in large-scale text hierarchies.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Topic-bridged PLSA for cross-domain text classification.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

EigenRank: a ranking-oriented approach to collaborative filtering.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Enhancing text clustering by leveraging Wikipedia semantics.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Web query translation via web log mining.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Transferring Knowledge from Another Domain for Learning Action Models.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

Learning Bidirectional Similarity for Collaborative Filtering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Digital Wall: A Power-efficient Solution for Location-based Data Sharing.
Proceedings of the Sixth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom 2008), 2008

Translated Learning: Transfer Learning across Different Feature Spaces.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Spectral domain-transfer learning.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Structural Support Vector Machine.
Proceedings of the Advances in Neural Networks, 2008

Learning and acting through sensors.
Proceedings of the 3rd International Conference on Intelligent System and Knowledge Engineering, 2008

Adaptive p-posterior mixture-model kernels for multiple instance learning.
Proceedings of the Machine Learning, 2008

Dirichlet component analysis: feature extraction for compositional data.
Proceedings of the Machine Learning, 2008

Self-taught clustering.
Proceedings of the Machine Learning, 2008

Learning Action Models with Quantified Conditional Effects for Software Requirement Specification.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2008

TOFA: Trace Oriented Feature Analysis in Text Categorization.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

One-Class Collaborative Filtering.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Real world activity recognition with multiple goals.
Proceedings of the UbiComp 2008: Ubiquitous Computing, 10th International Conference, 2008

An Introduction to Transfer Learning.
Proceedings of the Advanced Data Mining and Applications, 4th International Conference, 2008

Transferring Localization Models over Time.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Transferring Multi-device Localization Models using Latent Multi-task Learning.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Constraint Projections for Ensemble Learning.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Transferring Localization Models across Space.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Transfer Learning via Dimensionality Reduction.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

CIGAR: Concurrent and Interleaving Goal and Activity Recognition.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Mining Translations of Web Queries from Web Click-through Data.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Reducing the Calibration Effort for Probabilistic Indoor Location Estimation.
IEEE Trans. Mob. Comput., 2007

Extracting Actionable Knowledge from Decision Trees.
IEEE Trans. Knowl. Data Eng., 2007

Strong Compound-Risk Factors: Efficient Discovery Through Emerging Patterns and Contrast Sets.
IEEE Trans. Inf. Technol. Biomed., 2007

Multilinear Discriminant Analysis for Face Recognition.
IEEE Trans. Image Process., 2007

Graph Embedding and Extensions: A General Framework for Dimensionality Reduction.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

ARMS: an automatic knowledge engineering tool for learning action models for AI planning.
Knowl. Eng. Rev., 2007

A cognitive approach for agent-based personalized recommendation.
Knowl. Based Syst., 2007

Noise reduction through summarization for Web-page classification.
Inf. Process. Manag., 2007

Cost-Sensitive-Data Preprocessing for Mining Customer Relationship Management Databases.
IEEE Intell. Syst., 2007

Domain-Driven, Actionable Knowledge Discovery.
IEEE Intell. Syst., 2007

Learning action models from plan examples using weighted MAX-SAT.
Artif. Intell., 2007

Mining competent case bases for case-based reasoning.
Artif. Intell., 2007

Exploring in the weblog space by detecting informative and affective articles.
Proceedings of the 16th International Conference on World Wide Web, 2007

Discovering Patterns of DNA Methylation: Rule Mining with Rough Sets and Decision Trees, and Comethylation Analysis.
Proceedings of the Pattern Recognition and Machine Intelligence, 2007

Domain-constrained semi-supervised mining of tracking models in sensor networks.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Co-clustering based classification for out-of-domain documents.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Document Summarization Using Conditional Random Fields.
Proceedings of the IJCAI 2007, 2007

Co-Localization from Labeled and Unlabeled Data Using Graph Laplacian.
Proceedings of the IJCAI 2007, 2007

Detect and Track Latent Factors with Online Nonnegative Matrix Factorization.
Proceedings of the IJCAI 2007, 2007

Boosting for transfer learning.
Proceedings of the Machine Learning, 2007

Feature selection in a kernel space.
Proceedings of the Machine Learning, 2007

Document Transformation for Multi-label Feature Selection in Text Categorization.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Semi-Supervised Learning with Very Few Labeled Training Examples.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

Mining Web Query Hierarchies from Clickthrough Data.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

Online Co-Localization in Indoor Wireless Networks by Dimension Reduction.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

Adaptive Localization in a Dynamic WiFi Environment through Multi-view Learning.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

Transferring Naive Bayes Classifiers for Text Classification.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
Query enrichment for web-query classification.
ACM Trans. Inf. Syst., 2006

Test-Cost Sensitive Classification on Data with Missing Values.
IEEE Trans. Knowl. Data Eng., 2006

Effective and Efficient Dimensionality Reduction for Large-Scale and Streaming Data Preprocessing.
IEEE Trans. Knowl. Data Eng., 2006

Learning Contextual Dependency Network Models for Link-Based Classification.
IEEE Trans. Knowl. Data Eng., 2006

Multidimensional Vector Regression for Accurate and Low-Cost Location Estimation in Pervasive Computing.
IEEE Trans. Knowl. Data Eng., 2006

Test Strategies for Cost-Sensitive Decision Trees.
IEEE Trans. Knowl. Data Eng., 2006

Power-Efficient Access-Point Selection for Indoor Location Estimation.
IEEE Trans. Knowl. Data Eng., 2006

A scalable supervised algorithm for dimensionality reduction on streaming data.
Inf. Sci., 2006

10 Challenging Problems in Data Mining Research.
Int. J. Inf. Technol. Decis. Mak., 2006

Mining Adaptive Ratio Rules from Distributed Data Sources.
Data Min. Knowl. Discov., 2006

Reinforcing Web-object Categorization Through Interrelationships.
Data Min. Knowl. Discov., 2006

Discovering Classification from Data of Multiple Sources.
Data Min. Knowl. Discov., 2006

A comparison of implicit and explicit links for web page classification.
Proceedings of the 15th international conference on World Wide Web, 2006

Thread detection in dynamic text message streams.
Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006

Building bridges for web query classification.
Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006

A Novel Scalable Algorithm for Supervised Subspace Learning.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Latent Friend Mining from Blog Data.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Adding Semantics to Email Clustering.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Diverse Topic Phrase Extraction through Latent Semantic Analysis.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Text Classification Improved through Automatically Extracted Sequences.
Proceedings of the 22nd International Conference on Data Engineering, 2006

Text classification improved through multigram models.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

A Manifold Regularization Approach to Calibration Reduction for Sensor-Network Based Tracking.
Proceedings of the Proceedings, 2006

2005
Guest Editors' Introduction: Special Section on Intelligent Data Preparation.
IEEE Trans. Knowl. Data Eng., 2005

Guest Editor's Introduction to the Special Issue: Machine Learning for Bioinformatics-Part 2.
IEEE ACM Trans. Comput. Biol. Bioinform., 2005

Guest Editors' Introduction to the Special Issue: Machine Learning for Bioinformatics - Part 1.
IEEE ACM Trans. Comput. Biol. Bioinform., 2005

Q<sup>2</sup>C@UST: our winning solution to query classification in KDDCUP 2005.
SIGKDD Explor., 2005

Advances in conversational case-based reasoning.
Knowl. Eng. Rev., 2005

Learning quantifiable associations via principal sparse non-negative matrix factorization.
Intell. Data Anal., 2005

Guest Editors' Introduction: Data Mining in Bioinformatics.
IEEE Intell. Syst., 2005

Mining Customer Value: From Association Rules to Direct Marketing.
Data Min. Knowl. Discov., 2005

Deriving a Stationary Dynamic Bayesian Network from a Logic Program with Recursive Loops
CoRR, 2005

pFind: a novel database-searching software system for automated peptide and protein identification via tandem mass spectrometry.
Bioinform., 2005

Exploiting the hierarchical structure for link analysis.
Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

Scalable collaborative filtering using cluster-based smoothing.
Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

Web-page summarization using clickthrough data.
Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

Adaptive Temporal Radio Maps for Indoor Location Estimation.
Proceedings of the 3rd IEEE International Conference on Pervasive Computing and Communications (PerCom 2005), 2005

Reducing the Calibration Effort for Location Estimation Using Unlabeled Samples.
Proceedings of the 3rd IEEE International Conference on Pervasive Computing and Communications (PerCom 2005), 2005

Deriving a Stationary Dynamic Bayesian Network from a Logic Program with Recursive Loops.
Proceedings of the Inductive Logic Programming, 15th International Conference, 2005

Accurate and Low-cost Location Estimation Using Kernels.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Efficient Text Classification by Weighted Proximal SVM.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Integrating Hidden Markov Models and Spectral Analysis for Sensory Time Series Clustering.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Semantic Sensor Net: An Extensible Framework.
Proceedings of the Networking and Mobile Computing, Third International Conference, 2005

Simple Test Strategies for Cost-Sensitive Decision Trees.
Proceedings of the Machine Learning: ECML 2005, 2005

Discriminant Analysis with Tensor Representation.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Preprocessing Time Series Data for Classification with Application to CRM.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

An Incremental Subspace Learning Algorithm to Categorize Large Scale Text Data.
Proceedings of the Web Technologies Research and Development - APWeb 2005, 7th Asia-Pacific Web Conference, Shanghai, China, March 29, 2005

Mining Quantitative Associations in Large Database.
Proceedings of the Web Technologies Research and Development - APWeb 2005, 7th Asia-Pacific Web Conference, Shanghai, China, March 29, 2005

Learning Actions Models from Plan Examples with Incomplete Knowledge.
Proceedings of the Fifteenth International Conference on Automated Planning and Scheduling (ICAPS 2005), 2005

Activity Recognition through Goal-Based Segmentation.
Proceedings of the Proceedings, 2005

Competence Driven Case-Base Mining.
Proceedings of the Proceedings, 2005

Multiple-Goal Recognition from Low-Level Signals.
Proceedings of the Proceedings, 2005

2004
A block-based support vector machine approach to the protein homology prediction task in KDD Cup 2004.
SIGKDD Explor., 2004

Guest Editors' Introduction: Information Enhancement for Data Mining.
IEEE Intell. Syst., 2004

Guest Editors' Introduction: Mining Actionable Knowledge on the Web.
IEEE Intell. Syst., 2004

Building Association-Rule Based Sequential Classifiers for Web-Document Prediction.
Data Min. Knowl. Discov., 2004

Exploiting the kernel trick to correlate fragment ions for peptide identification via tandem mass spectrometry.
Bioinform., 2004

Web-page classification through summarization.
Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004

A Kernel-Based Case Retrieval Algorithm with Application to Bioinformatics.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

Mining of Web-Page Visiting Patterns with Continuous-Time Markov Models.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

LEAPS: A Location Estimation and Action Prediction System in a Wireless LAN Environment.
Proceedings of the Network and Parallel Computing, IFIP International Conference, 2004

IMMC: incremental maximum margin criterion.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004

Decision trees with minimal costs.
Proceedings of the Machine Learning, 2004

IRC: An Iterative Reinforcement Categorization Algorithm for Interrelated Web Objects.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Cluster Cores-Based Clustering for High Dimensional Data.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Mining Ratio Rules Via Principal Sparse Non-Negative Matrix Factorization.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Test-Cost Sensitive Naive Bayes Classification.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Case Retrieval Using Nonlinear Feature-Space Transformation.
Proceedings of the Advances in Case-Based Reasoning, 7th European Conference, 2004

Learning similarity measures in non-orthogonal space.
Proceedings of the 2004 ACM CIKM International Conference on Information and Knowledge Management, 2004

High-Level Goal Recognition in a Wireless LAN.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003
SANet: a service-agent network for call-center scheduling.
IEEE Trans. Syst. Man Cybern. Part A, 2003

A dynamic approach to characterizing termination of general logic programs.
ACM Trans. Comput. Log., 2003

Web-Log Mining for Predictive Web Caching.
IEEE Trans. Knowl. Data Eng., 2003

A Data Cube Model for Prediction-Based Web Prefetching.
J. Intell. Inf. Syst., 2003

Data Mining and Case-Based Reasoning for Distance Learning.
Int. J. Distance Educ. Technol., 2003

Data Preparation for Data Mining.
Appl. Artif. Intell., 2003

Web-Log Cleaning for Constructing Sequential Classifiers.
Appl. Artif. Intell., 2003

Mining the Customer's Up-To-Moment Preferences for E-commerce Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

Postprocessing Decision Trees to Extract Actionable Knowledge.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Mining Plans for Customer-Class Transformation.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Mining High Utility Itemsets.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

Case Mining from Large Databases.
Proceedings of the Case-Based Reasoning Research and Development, 2003

Planning for Marketing Campaigns.
Proceedings of the Thirteenth International Conference on Automated Planning and Scheduling (ICAPS 2003), 2003

2002
Correlation-Based Web Document Clustering for Adaptive Web Interface Design.
Knowl. Inf. Syst., 2002

Web-log Mining for Quantitative Temporal-Event Prediction.
IEEE Intell. Informatics Bull., 2002

Fuzzy Cognitive Agents for Personalized Recommendation.
Proceedings of the 3rd International Conference on Web Information Systems Engineering, 2002

An Open Framework for Smart and Personalized Distance Learning.
Proceedings of the Advances in Web-Based Learning, First International Conference, 2002

Mining Case Bases for Action Recommendation.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Objective-Oriented Utility-Based Association Mining.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

Mining Optimal Actions for Profitable CRM.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002

An Agent Approach for Personalized Recommendation.
Proceedings of the FSDK'02, 2002

Cut-and-Pick Transactions for Proxy Log Mining.
Proceedings of the Advances in Database Technology, 2002

The Application of Case Based Reasoning on Q&A System.
Proceedings of the AI 2002: Advances in Artificial Intelligence, 2002

2001
Integrating Web Prefetching Using Prediction Models.
World Wide Web, 2001

Redundancy Detection in Semistructured Case Bases.
IEEE Trans. Knowl. Data Eng., 2001

ActiveCBR: An Agent System That Integrates Case-Based Reasoning and Active Databases.
Knowl. Inf. Syst., 2001

Feature Weight Maintenance in Case Bases Using Introspective Learning.
J. Intell. Inf. Syst., 2001

Introduction to the Special Issue on Maintaining Case-Based Reasoning Systems.
Comput. Intell., 2001

Enhancing the Effectiveness of Interactive Case-Based Reasoning with Clustering and Decision Forests.
Appl. Intell., 2001

Classification Pruning for Web-request Prediction.
Proceedings of the Poster Proceedings of the Tenth International World Wide Web Conference, 2001

Mining Web Logs to Improve Web Caching and Prefetching.
Proceedings of the Web Intelligence: Research and Development, 2001

Mining web logs for prediction models in WWW caching and prefetching.
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001

Mining High-Quality Cases for Hypertext Prediction and Prefetching.
Proceedings of the Case-Based Reasoning Research and Development, 2001

Taylor Series Prediction: A Cache Replacement Policy based on Second-Order Trend Analysis.
Proceedings of the 34th Annual Hawaii International Conference on System Sciences (HICSS-34), 2001

Correlation-based Document Clustering using Web Logs.
Proceedings of the 34th Annual Hawaii International Conference on System Sciences (HICSS-34), 2001

Model Based Predictive Prefetching.
Proceedings of the 12th International Workshop on Database and Expert Systems Applications (DEXA 2001), 2001

2000
WhatNext: A Prediction System for Web Requests Using N-gram Sequence Models.
Proceedings of the WISE 2000, 2000

Towards a Next-Generation Search Engine.
Proceedings of the PRICAI 2000, Topics in Artificial Intelligence, 6th Pacific Rim International Conference on Artificial Intelligence, Melbourne, Australia, August 28, 2000

A prediction system for multimedia pre-fetching in Internet.
Proceedings of the 8th ACM International Conference on Multimedia 2000, Los Angeles, CA, USA, October 30, 2000

A unified framework for semantics and feature based relevance feedback in image retrieval systems.
Proceedings of the 8th ACM International Conference on Multimedia 2000, Los Angeles, CA, USA, October 30, 2000

Activating Case-Based Reasoning with Active Databases.
Proceedings of the Advances in Case-Based Reasoning, 5th European Workshop, 2000

Keep It Simple: A Case-Base Maintenance Policy Based on Clustering and Information Theory.
Proceedings of the Advances in Artificial Intelligence, 2000

1999
Remembering to Add: Competence-preserving Case-Addition Policies for Case Base Maintenance.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Dynamic Refinement of Feature Weights Using Quantitative Introspective Learning.
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Activating CBR Systems Through Autonomous Information Gathering.
Proceedings of the Case-Based Reasoning and Development, Third International Conference, 1999

Is CBR Applicable to the Coordination of Search and Rescue Operations? A Feasibility Study.
Proceedings of the Case-Based Reasoning and Development, Third International Conference, 1999

Real-Time Scheduling for Multi-agent Call Center Automation.
Proceedings of the Recent Advances in AI Planning, 5th European Conference on Planning, 1999

Plan Mining by Divide-and-Conquer.
Proceedings of the 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 1999

A Catalog of Agent Coordination Patterns.
Proceedings of the Third Annual Conference on Autonomous Agents, 1999

1998
Program Understanding as Constraint Satisfaction: Representation and Reasoning Techniques.
Autom. Softw. Eng., 1998

Applying Plan Recognition Algorithms To Program Understanding.
Autom. Softw. Eng., 1998

Towards Lifetime Maintenance of Case Based Indexes for Continual Case Based Reasoning.
Proceedings of the Artificial Intelligence: Methodology, 1998

An Agent for Intelligent Situation Assessment.
Proceedings of the Artificial Intelligence: Methodology, 1998

1997
Automatically Selecting and Using Primary Effects in Planning: Theory and Experiments.
Artif. Intell., 1997

Maintaining Unstructured Case Base.
Proceedings of the Case-Based Reasoning Research and Development, 1997

Intelligent planning - a decomposition and abstraction based approach.
Artificial intelligence, Springer, ISBN: 978-3-540-61901-7, 1997

1996
On the Implenentation and Evaluation of ABTWEAK.
Comput. Intell., 1996

The Program Understanding Problem: Analysis and a Heuristic Approach.
Proceedings of the 18th International Conference on Software Engineering, 1996

1995
Relating the Performance of Partial-Order Planning Algorithms to Domain Features.
SIGART Bull., 1995

Planning as Refinement Search: A Unified Framework for Evaluating Design Tradeoffs in Partial-Order Planning.
Artif. Intell., 1995

Planning with Primary Effects: Experiments and Analysis.
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

1994
An Evaluation of the Temporal Coherence Heuristic in Partial-Order Planning.
Comput. Intell., 1994

Downward Refinement and the Efficiency of Hierarchical Problem Solving.
Artif. Intell., 1994

Delaying Variable Binding Commitments in Planning.
Proceedings of the Second International Conference on Artificial Intelligence Planning Systems, 1994

A Framework for Automatic Problem Decomposition in Planning.
Proceedings of the Second International Conference on Artificial Intelligence Planning Systems, 1994

1993
Characterizing and Automatically Finding Primary Effects in Planning.
Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993

1992
Merging Separately Generated Plans with Restricted Interactions.
Comput. Intell., 1992

A Theory of Conflict Resolution in Planning.
Artif. Intell., 1992

Theory and Algorithms for Plan Merging.
Artif. Intell., 1992

Handling feature interactions in process-planning.
Appl. Artif. Intell., 1992

The Expected Value of Hierarchical Problem-Solving.
Proceedings of the 10th National Conference on Artificial Intelligence, 1992

1991
The Downward Refinement Property.
Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991

Characterizing Abstraction Hierarchies for Planning.
Proceedings of the 9th National Conference on Artificial Intelligence, 1991

A Quantitative Theory for Plan Merging.
Proceedings of the 9th National Conference on Artificial Intelligence, 1991

1990
Formalizing planning knowledge for hierarchical planning.
Comput. Intell., 1990

ABTWEAK: Abstracting a Nonlinear, Least Commitment Planner.
Proceedings of the 8th National Conference on Artificial Intelligence. Boston, Massachusetts, USA, July 29, 1990

An Algebraic Approach to Conflict Resolution in Planning.
Proceedings of the 8th National Conference on Artificial Intelligence. Boston, Massachusetts, USA, July 29, 1990

1989
Preprocessing Search Spaces for Branch and Bound Search.
Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989


  Loading...