2025
ZETA: Leveraging Z-order Curves for Efficient Top-k Attention.
CoRR, January, 2025
Enhancing Generalization in Chain of Thought Reasoning for Smaller Models.
CoRR, January, 2025
Textualize Visual Prompt for Image Editing via Diffusion Bridge.
CoRR, January, 2025
2024
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning.
IEEE Trans. Knowl. Data Eng., November, 2024
Secure and fast asynchronous Vertical Federated Learning via cascaded hybrid optimization.
Mach. Learn., September, 2024
A fast local citation recommendation algorithm scalable to multi-topics.
Expert Syst. Appl., March, 2024
Multiview Contrastive Learning for Unsupervised Domain Adaptation in Brain-Computer Interfaces.
IEEE Trans. Instrum. Meas., 2024
Source-Free Domain Adaptation for Question Answering with Masked Self-training.
Trans. Assoc. Comput. Linguistics, 2024
Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression.
CoRR, 2024
Unveil Inversion and Invariance in Flow Transformer for Versatile Image Editing.
CoRR, 2024
MABR: A Multilayer Adversarial Bias Removal Approach Without Prior Bias Knowledge.
CoRR, 2024
Towards Understanding Evolving Patterns in Sequential Data.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Source-Free Unsupervised Domain Adaptation for Question Answering via Prompt-Assisted Self-learning.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Intersectional Unfairness Discovery.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Learning No-Regret Sparse Generalized Linear Models with Varying Observation(s).
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Generalizing across Temporal Domains with Koopman Operators.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Kernel Error Path Algorithm.
IEEE Trans. Neural Networks Learn. Syst., November, 2023
Towards More General Loss and Setting in Unsupervised Domain Adaptation.
IEEE Trans. Knowl. Data Eng., October, 2023
Episodic task agnostic contrastive training for multi-task learning.
Neural Networks, May, 2023
Label shift conditioned hybrid querying for deep active learning.
Knowl. Based Syst., 2023
Toward Open-ended Embodied Tasks Solving.
CoRR, 2023
Hessian Aware Low-Rank Weight Perturbation for Continual Learning.
CoRR, 2023
Secure and Fast Asynchronous Vertical Federated Learning via Cascaded Hybrid Optimization.
CoRR, 2023
Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-Stationary Environments.
CoRR, 2023
A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
When Source-Free Domain Adaptation Meets Learning with Noisy Labels.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Dynamically Instance-Guided Adaptation: A Backward-free Approach for Test-Time Domain Adaptive Semantic Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Evolving Domain Generalization.
CoRR, 2022
On Learning Fairness and Accuracy on Multiple Subgroups.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
Generalized error path algorithm.
Pattern Recognit., 2021
Hone as You Read: A Practical Type of Interactive Summarization.
CoRR, 2021
A Deep Learning Framework for Lifelong Machine Learning.
CoRR, 2021
Aggregating From Multiple Target-Shifted Sources.
Proceedings of the 38th International Conference on Machine Learning, 2021
2020
An optimal model with a lower bound of recall for imbalanced speech emotion recognition.
Multim. Tools Appl., 2020
Ensemble Learning With Attention-Integrated Convolutional Recurrent Neural Network for Imbalanced Speech Emotion Recognition.
IEEE Access, 2020
Towards a Unified Lifelong Learning Framework.
Proceedings of the NeurIPS 2020 Workshop on Pre-registration in Machine Learning, 2020
Catching Attention with Automatic Pull Quote Selection.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
A Deeper Look at Bongard Problems.
Proceedings of the Advances in Artificial Intelligence, 2020
Region-Based Global Reasoning Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
A Unified Framework for Lifelong Learning in Deep Neural Networks.
CoRR, 2019
Few-Shot Abstract Visual Reasoning With Spectral Features.
CoRR, 2019
Learning Sentence Embeddings for Coherence Modelling and Beyond.
Proceedings of the International Conference on Recent Advances in Natural Language Processing, 2019
2018
Leveraging clustering to improve collaborative filtering.
Inf. Syst. Frontiers, 2018
The convergence of linear classifiers on large sparse data.
Neurocomputing, 2018
Neural Sentence Location Prediction for Summarization.
CoRR, 2018
Pelee: A Real-Time Object Detection System on Mobile Devices.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Pelee: A Real-Time Object Detection System on Mobile Devices.
Proceedings of the 6th International Conference on Learning Representations, 2018
2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Triply Stochastic Gradients on Multiple Kernel Learning.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017
Effective Multiclass Transfer for Hypothesis Transfer Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017
Fast Generalized Distillation for Semi-Supervised Domain Adaptation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
The Convergence Behavior of Naive Bayes on Large Sparse Datasets.
ACM Trans. Knowl. Discov. Data, 2016
2015
Improving Top-N Recommendation for Cold-Start Users via Cross-Domain Information.
ACM Trans. Knowl. Discov. Data, 2015
Data Sparseness in Linear SVM.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
A New Generalized Error Path Algorithm for Model Selection.
Proceedings of the 32nd International Conference on Machine Learning, 2015
Adapting New Categories for Food Recognition with Deep Representation.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015
2014
Detecting both superimposed and scene text with multiple languages and multiple alignments in video.
Multim. Tools Appl., 2014
Tag recommendation for open source software.
Frontiers Comput. Sci., 2014
Reviewer Recommender of Pull-Requests in GitHub.
Proceedings of the 30th IEEE International Conference on Software Maintenance and Evolution, Victoria, BC, Canada, September 29, 2014
GlucoGuide: An Intelligent Type-2 Diabetes Solution Using Data Mining and Mobile Computing.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014
Mobile-based food classification for Type-2 Diabetes using nutrient and textual features.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014
Who Should Review this Pull-Request: Reviewer Recommendation to Expedite Crowd Collaboration.
Proceedings of the 21st Asia-Pacific Software Engineering Conference, 2014
2013
Measuring Similarity Based on Link Information: A Comparative Study.
IEEE Trans. Knowl. Data Eng., 2013
Core set analysis in inconsistent decision tables.
Inf. Sci., 2013
Clustering-based factorized collaborative filtering.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013
Decisive Supervised Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013
Effective Top-Down Active Learning for Hierarchical Text Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013
Mining Software Profile across Multiple Repositories for Hierarchical Categorization.
Proceedings of the 2013 IEEE International Conference on Software Maintenance, 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
A Reliable People Counting System via Multiple Cameras.
ACM Trans. Intell. Syst. Technol., 2012
Active Learning with c-Certainty.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012
Active Learning for Hierarchical Text Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012
Foundation of Mining Class-Imbalanced Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012
2011
Enhanced Differential Evolution With Adaptive Strategies for Numerical Optimization.
IEEE Trans. Syst. Man Cybern. Part B, 2011
When Does Cotraining Work in Real Data?
IEEE Trans. Knowl. Data Eng., 2011
Introduction to special issue on machine learning for business applications.
ACM Trans. Intell. Syst. Technol., 2011
A clustering-based differential evolution for global optimization.
Appl. Soft Comput., 2011
Active Teaching for Inductive Learners.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011
Asking Generalized Queries with Minimum Cost.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011
Efficient Action Extraction with Many-to-Many Relationship between Actions and Features.
Proceedings of the Logic, Rationality, and Interaction - Third International Workshop, 2011
A New Search Engine Integrating Hierarchical Browsing and Keyword Search.
Proceedings of the IJCAI 2011, 2011
Learning with Guaranteed Label Quality.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011
Direct Marketing with Fewer Mistakes.
Proceedings of the Advanced Data Mining and Applications - 7th International Conference, 2011
2010
Proceedings of the Encyclopedia of Machine Learning, 2010
Proceedings of the Encyclopedia of Machine Learning, 2010
Asking Generalized Queries to Domain Experts to Improve Learning.
IEEE Trans. Knowl. Data Eng., 2010
DE/BBO: a hybrid differential evolution with biogeography-based optimization for global numerical optimization.
Soft Comput., 2010
Introduction to the Special Issue of Advanced Data Mining and Applications.
Comput. Intell., 2010
A real-coded biogeography-based optimization with mutation.
Appl. Math. Comput., 2010
Asking Generalized Queries to Ambiguous Oracle.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
Supervised Learning with Minimal Effort.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010
Active Learning with Human-Like Noisy Oracle.
Proceedings of the ICDM 2010, 2010
Adapting cost-sensitive learning for reject option.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010
2009
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009
Semi-Supervised Learning in Reconstructed Manifold Space for 3D Caricature Generation.
Comput. Graph. Forum, 2009
When does Co-training Work in Real Data?.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009
A Point Symmetry-Based Automatic Clustering Approach Using Differential Evolution.
Proceedings of the Advances in Computation and Intelligence, 4th International Symposium, 2009
Active Learning with Generalized Queries.
Proceedings of the ICDM 2009, 2009
Hybrid differential evolution based on fuzzy C-means clustering.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009
Co-Training on Handwritten Digit Recognition.
Proceedings of the Advances in Artificial Intelligence, 2009
From Machine Learning to Child Learning.
Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009
2008
Proper Model Selection with Significance Test.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008
Active learning with direct query construction.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008
Discriminative parameter learning for Bayesian networks.
Proceedings of the Machine Learning, 2008
Semi-supervised Self-training for Sentence Subjectivity Classification.
Proceedings of the Advances in Artificial Intelligence , 2008
2007
Extracting Actionable Knowledge from Decision Trees.
IEEE Trans. Knowl. Data Eng., 2007
Customized classification learning based on query projections.
Inf. Sci., 2007
Machine learning for stock selection.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007
Partial example acquisition in cost-sensitive learning.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007
A Multi-Objective Genetic Algorithm Based on Density.
Proceedings of the Advances in Computation and Intelligence, 2007
Constructing New and Better Evaluation Measures for Machine Learning.
Proceedings of the IJCAI 2007, 2007
Roulette Sampling for Cost-Sensitive Learning.
Proceedings of the Machine Learning: ECML 2007, 2007
Cost-Sensitive Decision Trees with Pre-pruning.
Proceedings of the Advances in Artificial Intelligence, 2007
2006
Customized Generalization of Support Patterns for Classification.
IEEE Trans. Syst. Man Cybern. Part B, 2006
Test-Cost Sensitive Classification on Data with Missing Values.
IEEE Trans. Knowl. Data Eng., 2006
Learning Contextual Dependency Network Models for Link-Based Classification.
IEEE Trans. Knowl. Data Eng., 2006
Test Strategies for Cost-Sensitive Decision Trees.
IEEE Trans. Knowl. Data Eng., 2006
Discovering Classification from Data of Multiple Sources.
Data Min. Knowl. Discov., 2006
IndexToolkit: an open source toolbox to index protein databases for high-throughput proteomics.
Bioinform., 2006
Maximum profit mining and its application in software development.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006
Feature value acquisition in testing: a sequential batch test algorithm.
Proceedings of the Machine Learning, 2006
Keyphrase Extraction Using Semantic Networks Structure Analysis.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
Constructing Ensembles for Better Ranking.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
ODE: A Fast and Robust Differential Evolution Based on Orthogonal Design.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006
Thresholding for Making Classifiers Cost-sensitive.
Proceedings of the Proceedings, 2006
Cost-Sensitive Test Strategies.
Proceedings of the Proceedings, 2006
2005
"Missing Is Useful': Missing Values in Cost-Sensitive Decision Trees.
IEEE Trans. Knowl. Data Eng., 2005
Using AUC and Accuracy in Evaluating Learning Algorithms.
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
pFind: a novel database-searching software system for automated peptide and protein identification via tandem mass spectrometry.
Bioinform., 2005
Hybrid Cost-Sensitive Decision Tree.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005
Dynamic Ensemble Re-Construction for Better Ranking.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005
Rank Measures for Ordering.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005
Predicting Software Escalations with Maximum ROI.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005
Partial Ensemble Classifiers Selection for Better Ranking.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005
Simple Test Strategies for Cost-Sensitive Decision Trees.
Proceedings of the Machine Learning: ECML 2005, 2005
2004
Exploiting the kernel trick to correlate fragment ions for peptide identification via tandem mass spectrometry.
Bioinform., 2004
A Kernel-Based Case Retrieval Algorithm with Application to Bioinformatics.
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Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004
A New Method to Construct the Non-Dominated Set in Multi-Objective Genetic Algorithms.
Proceedings of the Intelligent Information Processing II, 2004
Decision trees with minimal costs.
Proceedings of the Machine Learning, 2004
Test-Cost Sensitive Naive Bayes Classification.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004
Some discussions about MOGAs: individual relations, non-dominated set, and application on automatic negotiation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004
A Multi-objective Genetic Algorithm Based on Quick Sort.
Proceedings of the Advances in Artificial Intelligence, 2004
Artificial Aging of Faces by Support Vector Machines.
Proceedings of the Advances in Artificial Intelligence, 2004
2003
Cognitive agents and multiagent interaction.
Cogn. Syst. Res., 2003
Numeric Mapping and Learnability of Naive Bayes.
Appl. Artif. Intell., 2003
Intelligent Protein 3D Structure Retrieval System.
Proceedings of the Foundations of Intelligent Systems, 14th International Symposium, 2003
AUC: a Statistically Consistent and more Discriminating Measure than Accuracy.
Proceedings of the IJCAI-03, 2003
Decision Tree with Better Ranking.
Proceedings of the Machine Learning, 2003
Postprocessing Decision Trees to Extract Actionable Knowledge.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003
Comparing Naive Bayes, Decision Trees, and SVM with AUC and Accuracy.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003
A Fundamental Issue of Naive Bayes.
Proceedings of the Advances in Artificial Intelligence, 2003
AUC: A Better Measure than Accuracy in Comparing Learning Algorithms.
Proceedings of the Advances in Artificial Intelligence, 2003
2002
Learning good prototypes for classification using filtering and abstraction of instances.
Pattern Recognit., 2002
The Representational Power of Discrete Bayesian Networks.
J. Mach. Learn. Res., 2002
Learning Prosodic Patterns for Mandarin Speech Synthesis.
J. Intell. Inf. Syst., 2002
Improving Encarta Search Engine Performance by Mining User Logs.
Int. J. Pattern Recognit. Artif. Intell., 2002
Int. J. Found. Comput. Sci., 2002
Toward Bayesian Classifiers with Accurate Probabilities.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2002
Representational Upper Bounds of Bayesian Networks.
Proceedings of the Machine Learning, 2002
Mining Optimal Actions for Profitable CRM.
Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002
2001
An Improved Learning Algorithm for Augmented Naive Bayes.
Proceedings of the Knowledge Discovery and Data Mining, 2001
Learnability of Augmented Naive Bayes in Nonimal Domains.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001
Mining Generalized Query Patterns from Web Logs.
Proceedings of the 34th Annual Hawaii International Conference on System Sciences (HICSS-34), 2001
Geometric Properties of Naive Bayes in Nominal Domains.
Proceedings of the Machine Learning: EMCL 2001, 2001
2000
The Learnability of Naive Bayes.
Proceedings of the Advances in Artificial Intelligence, 2000
1998
Computational Cognitive Modeling, the Source of Power, and Other Related Issues.
AI Mag., 1998
Data Mining for Direct Marketing: Problems and Solutions.
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98), 1998
Grapheme Generation in Learning to Read English Words.
Proceedings of the Advances in Artificial Intelligence, 1998
1997
Setting Attribute Weights for Nearest Neighour Learning Algorithms Using C4.5.
Int. J. Pattern Recognit. Artif. Intell., 1997
Computing Optimal Attribute Weight Settings for Nearest Neighbor Algorithms.
Artif. Intell. Rev., 1997
Alignment Algorithms for Learning to Read Aloud.
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997
1996
A Decision-Tree Model of Balance Scale Development.
Mach. Learn., 1996
Learning Classifications from Multiple Sources of Unsupervised Data.
Proceedings of the Advances in Artificial Intelligence, 1996
1995
Overfitting and generalization in learning discrete patterns.
Neurocomputing, 1995
Refinement of Uncertain Rule Bases via Reduction.
Int. J. Approx. Reason., 1995
1994
Learning the Past Tense of English Verbs: The Symbolic Pattern Associator vs. Connectionist Models.
J. Artif. Intell. Res., 1994
A Symbolic Model of the Nonconscious Acquisition of Information.
Cogn. Sci., 1994
Learning to Control Dynamic Systems with Automatic Quantization.
Adapt. Behav., 1994
Learning Recursive Relations with Randomly Selected Small Training Sets.
Proceedings of the Machine Learning, 1994
Inverting Implication with Small Training Sets.
Proceedings of the Machine Learning: ECML-94, 1994
1993
A Symbolic Model for Learning the Past-Tenses of English Verbs.
Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993
Constructive Inductive Logic Programming.
Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993
1991
Inductive Learning from Good Examples.
Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991