Charles X. Ling

182 papers A* 42A 6B 7C 2Misc 5Journal 74Unranked 40
YearRankTypeTitle / Venue / Authors
2026 J jnl
When Priors Backfire: On the Vulnerability of Unlearnable Examples to Pretraining.
CoRR
Zhihao Li, Gezheng Xu, Jiale Cai, Ruiyi Fang, Di Wu, Qicheng Lao, Charles X. Ling, Boyu Wang
2025 J jnl
FedELR: When federated learning meets learning with noisy labels.
Neural Networks
Ruizhi Pu, Lixing Yu, Shaojie Zhan, Gezheng Xu, Fan Zhou, Charles X. Ling, Boyu Wang
2025 J jnl
FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning.
CoRR
Ganyu Wang, Jinjie Fang, Maxwell J. Yin, Bin Gu, Xi Chen, Boyu Wang, Charles X. Ling
2024 A* conf
Generalizing across Temporal Domains with Koopman Operators.
AAAI
Qiuhao Zeng, Wei Wang, Fan Zhou, Gezheng Xu, Ruizhi Pu, Changjian Shui, Christian Gagné, Shichun Yang, Charles X. Ling, Boyu Wang
2024 J jnl
Generalizing across Temporal Domains with Koopman Operators.
CoRR
Qiuhao Zeng, Wei Wang, Fan Zhou, Gezheng Xu, Ruizhi Pu, Changjian Shui, Christian Gagné, Shichun Yang, Boyu Wang, Charles X. Ling
2024 J jnl
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning.
IEEE Trans. Knowl. Data Eng.
Jiaqi Li, Yuanhao Lai, Rui Wang, Changjian Shui, Sabyasachi Sahoo, Charles X. Ling, Shichun Yang, Boyu Wang, Christian Gagné, Fan Zhou
2024 J jnl
Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression.
CoRR
Ruizhi Pu, Gezheng Xu, Ruiyi Fang, Binkun Bao, Charles X. Ling, Boyu Wang
2024 J jnl
Multiview Contrastive Learning for Unsupervised Domain Adaptation in Brain-Computer Interfaces.
IEEE Trans. Instrum. Meas.
Sepehr Asgarian, Ze Wang, Feng Wan, Chi Man Wong, Feng Liu, Yalda Mohsenzadeh, Boyu Wang, Charles X. Ling
2024 A* conf
Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations.
IJCAI
Nima Hosseini Dashtbayaz, Ghazal Farhani, Boyu Wang, Charles X. Ling
2024 J jnl
Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations.
CoRR
Nima Hosseini Dashtbayaz, Ghazal Farhani, Boyu Wang, Charles X. Ling
2024 J jnl
Secure and fast asynchronous Vertical Federated Learning via cascaded hybrid optimization.
Mach. Learn.
Ganyu Wang, Qingsong Zhang, Xiang Li, Boyu Wang, Bin Gu, Charles X. Ling
2024 J jnl
Sparse and Expandable Network for Google's Pathways.
Frontiers Big Data
Charles X. Ling, Ganyu Wang, Boyu Wang
2024 A* conf
Towards Understanding Evolving Patterns in Sequential Data.
NeurIPS
Qiuhao Zeng, Long-Kai Huang, Qi Chen, Charles X. Ling, Boyu Wang
2023 A* conf
A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning.
NeurIPS
Ganyu Wang, Bin Gu, Qingsong Zhang, Xiang Li, Boyu Wang, Charles X. Ling
2023 J jnl
Episodic task agnostic contrastive training for multi-task learning.
Neural Networks
Fan Zhou, Yuyi Chen, Jun Wen, Qiuhao Zeng, Changjian Shui, Charles X. Ling, Shichun Yang, Boyu Wang
2023 J jnl
Hessian Aware Low-Rank Weight Perturbation for Continual Learning.
CoRR
Jiaqi Li, Rui Wang, Yuanhao Lai, Changjian Shui, Sabyasachi Sahoo, Charles X. Ling, Shichun Yang, Boyu Wang, Christian Gagné, Fan Zhou
2023 J jnl
Kernel Error Path Algorithm.
IEEE Trans. Neural Networks Learn. Syst.
Ziran Xiong, Charles X. Ling, Bin Gu
2023 J jnl
Label shift conditioned hybrid querying for deep active learning.
Knowl. Based Syst.
Jiaqi Li, Haojia Kong, Gezheng Xu, Changjian Shui, Ruizhi Pu, Zhao Kang, Charles X. Ling, Boyu Wang
2023 J jnl
Towards More General Loss and Setting in Unsupervised Domain Adaptation.
IEEE Trans. Knowl. Data Eng.
Changjian Shui, Ruizhi Pu, Gezheng Xu, Jun Wen, Fan Zhou, Christian Gagné, Charles X. Ling, Boyu Wang
2022 J jnl
Evolving Domain Generalization.
CoRR
William Wei Wang, Gezheng Xu, Ruizhi Pu, Jiaqi Li, Fan Zhou, Changjian Shui, Charles X. Ling, Christian Gagné, Boyu Wang
2022 A* conf
On Learning Fairness and Accuracy on Multiple Subgroups.
NeurIPS
Changjian Shui, Gezheng Xu, Qi Chen, Jiaqi Li, Charles X. Ling, Tal Arbel, Boyu Wang, Christian Gagné
2021 J jnl
A Deep Learning Framework for Lifelong Machine Learning.
CoRR
Charles X. Ling, Tanner A. Bohn
2021 A* conf
Aggregating From Multiple Target-Shifted Sources.
ICML
Changjian Shui, Zijian Li, Jiaqi Li, Christian Gagné, Charles X. Ling, Boyu Wang
2021 J jnl
Aggregating From Multiple Target-Shifted Sources.
CoRR
Changjian Shui, Zijian Li, Jiaqi Li, Christian Gagné, Charles X. Ling, Boyu Wang
2021 J jnl
Generalized error path algorithm.
Pattern Recognit.
Bin Gu, Charles X. Ling
2021 J jnl
Hone as You Read: A Practical Type of Interactive Summarization.
CoRR
Tanner A. Bohn, Charles X. Ling
2020 — conf
A Deeper Look at Bongard Problems.
Canadian AI
Xinyu Yun, Tanner A. Bohn, Charles X. Ling
2020 J jnl
An optimal model with a lower bound of recall for imbalanced speech emotion recognition.
Multim. Tools Appl.
Xusheng Ai, Victor S. Sheng, Wei Fang, Charles X. Ling
2020 B conf
Catching Attention with Automatic Pull Quote Selection.
COLING
Tanner A. Bohn, Charles X. Ling
2020 J jnl
Catching Attention with Automatic Pull Quote Selection.
CoRR
Tanner A. Bohn, Charles X. Ling
2020 J jnl
Ensemble Learning With Attention-Integrated Convolutional Recurrent Neural Network for Imbalanced Speech Emotion Recognition.
IEEE Access
Xusheng Ai, Victor S. Sheng, Wei Fang, Charles X. Ling, Chunhua Li
2020 A* conf
Region-Based Global Reasoning Networks.
AAAI
Chuanming Wang, Huiyuan Fu, Charles X. Ling, Peilun Du, Huadong Ma
2020 — conf
Towards a Unified Lifelong Learning Framework.
Preregister@NeurIPS
Tanner A. Bohn, Xinyu Yun, Charles X. Ling
2019 J jnl
A Unified Framework for Lifelong Learning in Deep Neural Networks.
CoRR
Charles X. Ling, Tanner A. Bohn
2019 J jnl
Few-Shot Abstract Visual Reasoning With Spectral Features.
CoRR
Tanner A. Bohn, Yining Hu, Charles X. Ling
2019 Misc conf
Learning Sentence Embeddings for Coherence Modelling and Beyond.
RANLP
Tanner A. Bohn, Yining Hu, Jinhang Zhang, Charles X. Ling
2018 J jnl
Leveraging clustering to improve collaborative filtering.
Inf. Syst. Frontiers
Nima Mirbakhsh, Charles X. Ling
2018 J jnl
Neural Sentence Location Prediction for Summarization.
CoRR
Tanner A. Bohn, Charles X. Ling
2018 — conf
Pelee: A Real-Time Object Detection System on Mobile Devices.
ICLR (Workshop)
Robert J. Wang, Xiang Li, Shuang Ao, Charles X. Ling
2018 A* conf
Pelee: A Real-Time Object Detection System on Mobile Devices.
NeurIPS
Robert J. Wang, Xiang Li, Charles X. Ling
2018 J jnl
Pelee: A Real-Time Object Detection System on Mobile Devices.
CoRR
Robert J. Wang, Xiang Li, Shuang Ao, Charles X. Ling
2018 J jnl
The convergence of linear classifiers on large sparse data.
Neurocomputing
Xiang Li, Huaimin Wang, Bin Gu, Charles X. Ling
2017 — ch.
Class Imbalance Problem.
Encyclopedia of Machine Learning and Data Mining
Charles X. Ling, Victor S. Sheng
2017 — ch.
Cost-Sensitive Learning.
Encyclopedia of Machine Learning and Data Mining
Charles X. Ling, Victor S. Sheng
2017 — conf
Effective Multiclass Transfer for Hypothesis Transfer Learning.
PAKDD (2)
Shuang Ao, Xiang Li, Charles X. Ling
2017 A* conf
Fast Generalized Distillation for Semi-Supervised Domain Adaptation.
AAAI
Shuang Ao, Xiang Li, Charles X. Ling
2017 A conf
Triply Stochastic Gradients on Multiple Kernel Learning.
UAI
Xiang Li, Bin Gu, Shuang Ao, Huaimin Wang, Charles X. Ling
2016 J jnl
The Convergence Behavior of Naive Bayes on Large Sparse Datasets.
ACM Trans. Knowl. Discov. Data
Xiang Li, Charles X. Ling, Huaimin Wang
2015 A* conf
A New Generalized Error Path Algorithm for Model Selection.
ICML
Bin Gu, Charles X. Ling
2015 — conf
Adapting New Categories for Food Recognition with Deep Representation.
ICDM Workshops
Shuang Ao, Charles X. Ling
2015 A* conf
Data Sparseness in Linear SVM.
IJCAI
Xiang Li, Huaimin Wang, Bin Gu, Charles X. Ling
2015 J jnl
Improving Top-N Recommendation for Cold-Start Users via Cross-Domain Information.
ACM Trans. Knowl. Discov. Data
Nima Mirbakhsh, Charles X. Ling
2015 A* conf
The Convergence Behavior of Naive Bayes on Large Sparse Datasets.
ICDM
Xiang Li, Charles X. Ling, Huaimin Wang
2014 J jnl
Detecting both superimposed and scene text with multiple languages and multiple alignments in video.
Multim. Tools Appl.
Xiaodong Huang, Huadong Ma, Charles X. Ling, Guangyu Gao
2014 — conf
GlucoGuide: An Intelligent Type-2 Diabetes Solution Using Data Mining and Mobile Computing.
ICDM Workshops
Yan Luo, Charles X. Ling, Jody Schuurman, Robert J. Petrella
2014 B conf
Mobile-based food classification for Type-2 Diabetes using nutrient and textual features.
DSAA
Yan Luo, Charles X. Ling, Shuang Ao
2014 A conf
Reviewer Recommender of Pull-Requests in GitHub.
ICSME
Yue Yu, Huaimin Wang, Gang Yin, Charles X. Ling
2014 J jnl
Tag recommendation for open source software.
Frontiers Comput. Sci.
Tao Wang, Huaimin Wang, Gang Yin, Charles X. Ling, Xiao Li, Peng Zou
2014 — conf
Who Should Review this Pull-Request: Reviewer Recommendation to Expedite Crowd Collaboration.
APSEC (1)
Yue Yu, Huaimin Wang, Gang Yin, Charles X. Ling
2013 A conf
Clustering-based factorized collaborative filtering.
RecSys
Nima Mirbakhsh, Charles X. Ling
2013 J jnl
Core set analysis in inconsistent decision tables.
Inf. Sci.
Linzi Yin, Weihua Gui, Chunhua Yang, Xiaoli Wang, Charles X. Ling
2013 — conf
Decisive Supervised Learning.
PAKDD (1)
Eileen A. Ni, Da Kuang, Charles X. Ling
2013 — conf
Effective Top-Down Active Learning for Hierarchical Text Classification.
PAKDD (2)
Xiao Li, Charles X. Ling, Huaimin Wang
2013 J jnl
Measuring Similarity Based on Link Information: A Comparative Study.
IEEE Trans. Knowl. Data Eng.
Hongyan Liu, Jun He, Dan Zhu, Charles X. Ling, Xiaoyong Du
2013 — conf
Mining Software Profile across Multiple Repositories for Hierarchical Categorization.
ICSM
Tao Wang, Huaimin Wang, Gang Yin, Charles X. Ling, Xiang Li, Peng Zou
2012 J jnl
A Reliable People Counting System via Multiple Cameras.
ACM Trans. Intell. Syst. Technol.
Huadong Ma, Chengbin Zeng, Charles X. Ling
2012 — conf
Active Learning for Hierarchical Text Classification.
PAKDD (1)
Xiao Li, Da Kuang, Charles X. Ling
2012 — conf
Active Learning with c-Certainty.
PAKDD (1)
Eileen A. Ni, Charles X. Ling
2012 — book
Crafting Your Research Future: A Guide to Successful Master's and Ph.D. Degrees in Science & Engineering
Crafting Your Research Future
Charles X. Ling, Qiang Yang
2012 — conf
Foundation of Mining Class-Imbalanced Data.
PAKDD (1)
Da Kuang, Charles X. Ling, Jun Du
2011 A* conf
A New Search Engine Integrating Hierarchical Browsing and Keyword Search.
IJCAI
Da Kuang, Xiao Li, Charles X. Ling
2011 J jnl
A clustering-based differential evolution for global optimization.
Appl. Soft Comput.
Zhihua Cai, Wenyin Gong, Charles X. Ling, Harry Zhang
2011 A conf
Active Teaching for Inductive Learners.
SDM
Jun Du, Charles X. Ling
2011 — conf
Asking Generalized Queries with Minimum Cost.
PAKDD (2)
Jun Du, Charles X. Ling
2011 — conf
Direct Marketing with Fewer Mistakes.
ADMA (1)
Eileen A. Ni, Charles X. Ling
2011 — conf
Efficient Action Extraction with Many-to-Many Relationship between Actions and Features.
LORI
Jianfeng Du, Yong Hu, Charles X. Ling, Ming Fan, Mei Liu
2011 J jnl
Enhanced Differential Evolution With Adaptive Strategies for Numerical Optimization.
IEEE Trans. Syst. Man Cybern. Part B
Wenyin Gong, Zhihua Cai, Charles X. Ling, Hui Li
2011 J jnl
Introduction to special issue on machine learning for business applications.
ACM Trans. Intell. Syst. Technol.
Charles X. Ling
2011 — conf
Learning with Guaranteed Label Quality.
ICMLA (1)
Eileen A. Ni, Charles X. Ling
2011 J jnl
When Does Cotraining Work in Real Data?
IEEE Trans. Knowl. Data Eng.
Jun Du, Charles X. Ling, Zhi-Hua Zhou
2010 J jnl
A real-coded biogeography-based optimization with mutation.
Appl. Math. Comput.
Wenyin Gong, Zhihua Cai, Charles X. Ling, Hui Li
2010 A* conf
Active Learning with Human-Like Noisy Oracle.
ICDM
Jun Du, Charles X. Ling
2010 A conf
Adapting cost-sensitive learning for reject option.
CIKM
Jun Du, Eileen A. Ni, Charles X. Ling
2010 — conf
Asking Generalized Queries to Ambiguous Oracle.
ECML/PKDD (1)
Jun Du, Charles X. Ling
2010 J jnl
Asking Generalized Queries to Domain Experts to Improve Learning.
IEEE Trans. Knowl. Data Eng.
Jun Du, Charles X. Ling
2010 — ch.
Class Imbalance Problem.
Encyclopedia of Machine Learning
Charles X. Ling, Victor S. Sheng
2010 — ch.
Cost-Sensitive Learning.
Encyclopedia of Machine Learning
Charles X. Ling, Victor S. Sheng
2010 J jnl
DE/BBO: a hybrid differential evolution with biogeography-based optimization for global numerical optimization.
Soft Comput.
Wenyin Gong, Zhihua Cai, Charles X. Ling
2010 — conf
Supervised Learning with Minimal Effort.
PAKDD (2)
Eileen A. Ni, Charles X. Ling
2009 — conf
A Point Symmetry-Based Automatic Clustering Approach Using Differential Evolution.
ISICA
Wenyin Gong, Zhihua Cai, Charles X. Ling, Bo Huang
2009 A* conf
Active Learning with Generalized Queries.
ICDM
Jun Du, Charles X. Ling
2009 — conf
Co-Training on Handwritten Digit Recognition.
Canadian AI
Jun Du, Charles X. Ling
2009 — ch.
Cost-Sensitive Learning.
Encyclopedia of Data Warehousing and Mining
Victor S. Sheng, Charles X. Ling
2009 A conf
Hybrid differential evolution based on fuzzy C-means clustering.
GECCO
Wenyin Gong, Zhihua Cai, Charles X. Ling, Jun Du
2009 J jnl
Semi-Supervised Learning in Reconstructed Manifold Space for 3D Caricature Generation.
Comput. Graph. Forum
Junfa Liu, Yiqiang Chen, Chunyan Miao, Jinjing Xie, Charles X. Ling, Xingyu Gao, Wen Gao
2009 B conf
When does Co-training Work in Real Data?.
PAKDD
Charles X. Ling, Jun Du, Zhi-Hua Zhou
2008 A* conf
Active learning with direct query construction.
KDD
Charles X. Ling, Jun Du
2008 C ed.
Advanced Data Mining and Applications, 4th International Conference, ADMA 2008, Chengdu, China, October 8-10, 2008. Proceedings
ADMA
Changjie Tang, Charles X. Ling, Xiaofang Zhou, Nick Cercone, Xue Li
2008 A* conf
Discriminative parameter learning for Bayesian networks.
ICML
Jiang Su, Harry Zhang, Charles X. Ling, Stan Matwin
2008 — conf
Proper Model Selection with Significance Test.
ECML/PKDD (1)
Jin Huang, Charles X. Ling, Harry Zhang, Stan Matwin
2008 — conf
Semi-supervised Self-training for Sentence Subjectivity Classification.
Canadian AI
Bin Wang, Bruce Spencer, Charles X. Ling, Harry Zhang
2007 — conf
A Multi-Objective Genetic Algorithm Based on Density.
ISICA
Jinhua Zheng, Guixia Xiao, Wu Song, Xuyong Li, Charles X. Ling
2007 A* conf
Constructing New and Better Evaluation Measures for Machine Learning.
IJCAI
Jin Huang, Charles X. Ling
2007 — conf
Cost-Sensitive Decision Trees with Pre-pruning.
Canadian AI
Jun Du, Zhihua Cai, Charles X. Ling
2007 J jnl
Customized classification learning based on query projections.
Inf. Sci.
Yiqiu Han, Wai Lam, Charles X. Ling
2007 J jnl
Extracting Actionable Knowledge from Decision Trees.
IEEE Trans. Knowl. Data Eng.
Qiang Yang, Jie Yin, Charles X. Ling, Rong Pan
2007 A* conf
Machine learning for stock selection.
KDD
Robert J. Yan, Charles X. Ling
2007 A* conf
Partial example acquisition in cost-sensitive learning.
KDD
Victor S. Sheng, Charles X. Ling
2007 — conf
Roulette Sampling for Cost-Sensitive Learning.
ECML
Victor S. Sheng, Charles X. Ling
2006 A* conf
Constructing Ensembles for Better Ranking.
ICDM
Jin Huang, Charles X. Ling
2006 A* conf
Cost-Sensitive Test Strategies.
AAAI
Shengli Sheng, Charles X. Ling, Ailing Ni, Shichao Zhang
2006 J jnl
Customized Generalization of Support Patterns for Classification.
IEEE Trans. Syst. Man Cybern. Part B
Yiqiu Han, Wai Lam, Charles X. Ling
2006 J jnl
Discovering Classification from Data of Multiple Sources.
Data Min. Knowl. Discov.
Charles X. Ling, Qiang Yang
2006 A* conf
Feature value acquisition in testing: a sequential batch test algorithm.
ICML
Victor S. Sheng, Charles X. Ling
2006 J jnl
IndexToolkit: an open source toolbox to index protein databases for high-throughput proteomics.
Bioinform.
Dequan Li, Wen Gao, Charles X. Ling, Xiaobiao Wang, Ruixiang Sun, Simin He
2006 A* conf
Keyphrase Extraction Using Semantic Networks Structure Analysis.
ICDM
Chong Huang, Yonghong Tian, Zhi Zhou, Charles X. Ling, Tiejun Huang
2006 J jnl
Learning Contextual Dependency Network Models for Link-Based Classification.
IEEE Trans. Knowl. Data Eng.
Yonghong Tian, Qiang Yang, Tiejun Huang, Charles X. Ling, Wen Gao
2006 A* conf
Maximum profit mining and its application in software development.
KDD
Charles X. Ling, Victor S. Sheng, Tilmann F. W. Bruckhaus, Nazim H. Madhavji
2006 — conf
ODE: A Fast and Robust Differential Evolution Based on Orthogonal Design.
Australian Conference on Artificial Intelligence
Wenyin Gong, Zhihua Cai, Charles X. Ling
2006 J jnl
Test Strategies for Cost-Sensitive Decision Trees.
IEEE Trans. Knowl. Data Eng.
Charles X. Ling, Victor S. Sheng, Qiang Yang
2006 J jnl
Test-Cost Sensitive Classification on Data with Missing Values.
IEEE Trans. Knowl. Data Eng.
Qiang Yang, Charles X. Ling, Xiaoyong Chai, Rong Pan
2006 A* conf
Thresholding for Making Classifiers Cost-sensitive.
AAAI
Victor S. Sheng, Charles X. Ling
2005 J jnl
"Missing Is Useful': Missing Values in Cost-Sensitive Decision Trees.
IEEE Trans. Knowl. Data Eng.
Shichao Zhang, Zhenxing Qin, Charles X. Ling, Shengli Sheng
2005 — conf
Dynamic Ensemble Re-Construction for Better Ranking.
PKDD
Jin Huang, Charles X. Ling
2005 J jnl
Guest Editor's Introduction to the Special Issue: Machine Learning for Bioinformatics-Part 2.
IEEE ACM Trans. Comput. Biol. Bioinform.
Charles X. Ling, William Stafford Noble, Qiang Yang
2005 J jnl
Guest Editors' Introduction to the Special Issue: Machine Learning for Bioinformatics - Part 1.
IEEE ACM Trans. Comput. Biol. Bioinform.
Charles X. Ling, William Stafford Noble, Qiang Yang
2005 — conf
Hybrid Cost-Sensitive Decision Tree.
PKDD
Shengli Sheng, Charles X. Ling
2005 A* conf
Partial Ensemble Classifiers Selection for Better Ranking.
ICDM
Jin Huang, Charles X. Ling
2005 A* conf
Predicting Software Escalations with Maximum ROI.
ICDM
Charles X. Ling, Shengli Sheng, Tilmann F. W. Bruckhaus, Nazim H. Madhavji
2005 — conf
Rank Measures for Ordering.
PKDD
Jin Huang, Charles X. Ling
2005 — conf
Simple Test Strategies for Cost-Sensitive Decision Trees.
ECML
Shengli Sheng, Charles X. Ling, Qiang Yang
2005 J jnl
Using AUC and Accuracy in Evaluating Learning Algorithms.
IEEE Trans. Knowl. Data Eng.
Jin Huang, Charles X. Ling
2005 J jnl
pFind: a novel database-searching software system for automated peptide and protein identification via tandem mass spectrometry.
Bioinform.
Dequan Li, Yan Fu, Ruixiang Sun, Charles X. Ling, Yonggang Wei, Hu Zhou, Rong Zeng, Qiang Yang, Simin He, Wen Gao
2004 B conf
A Kernel-Based Case Retrieval Algorithm with Application to Bioinformatics.
PRICAI
Yan Fu, Qiang Yang, Charles X. Ling, Haipeng Wang, Dequan Li, Ruixiang Sun, Hu Zhou, Rong Zeng, Yiqiang Chen, Simin He, Wen Gao
2004 — conf
A Multi-objective Genetic Algorithm Based on Quick Sort.
Canadian AI
Jinhua Zheng, Charles X. Ling, Zhongzhi Shi, Juan Xue, Xuyong Li
2004 — conf
A New Method to Construct the Non-Dominated Set in Multi-Objective Genetic Algorithms.
IIP
Jinhua Zheng, Zhongzhi Shi, Charles X. Ling, Yong Xie
2004 — conf
Artificial Aging of Faces by Support Vector Machines.
Canadian AI
Jianning Wang, Charles X. Ling
2004 A* conf
Decision trees with minimal costs.
ICML
Charles X. Ling, Qiang Yang, Jianning Wang, Shichao Zhang
2004 J jnl
Exploiting the kernel trick to correlate fragment ions for peptide identification via tandem mass spectrometry.
Bioinform.
Yan Fu, Qiang Yang, Ruixiang Sun, Dequan Li, Rong Zeng, Charles X. Ling, Wen Gao
2004 B conf
Some discussions about MOGAs: individual relations, non-dominated set, and application on automatic negotiation.
IEEE Congress on Evolutionary Computation
Jinhua Zheng, Charles X. Ling, Zhongzhi Shi, Yong Xie
2004 A* conf
Test-Cost Sensitive Naive Bayes Classification.
ICDM
Xiaoyong Chai, Lin Deng, Qiang Yang, Charles X. Ling
2003 Misc conf
A Fundamental Issue of Naive Bayes.
AI
Harry Zhang, Charles X. Ling
2003 Misc conf
AUC: A Better Measure than Accuracy in Comparing Learning Algorithms.
AI
Charles X. Ling, Jin Huang, Harry Zhang
2003 A* conf
AUC: a Statistically Consistent and more Discriminating Measure than Accuracy.
IJCAI
Charles X. Ling, Jin Huang, Harry Zhang
2003 J jnl
Cognitive agents and multiagent interaction.
Cogn. Syst. Res.
Jean-Luc Koning, Charles X. Ling
2003 A* conf
Comparing Naive Bayes, Decision Trees, and SVM with AUC and Accuracy.
ICDM
Jin Huang, Jingjing Lu, Charles X. Ling
2003 A* conf
Decision Tree with Better Ranking.
ICML
Charles X. Ling, Robert J. Yan
2003 C conf
Intelligent Protein 3D Structure Retrieval System.
ISMIS
Yiqiang Chen, Wen Gao, Lijuan Duan, Xiang Chen, Charles X. Ling
2003 J jnl
Numeric Mapping and Learnability of Naive Bayes.
Appl. Artif. Intell.
Harry Zhang, Charles X. Ling
2003 A* conf
Postprocessing Decision Trees to Extract Actionable Knowledge.
ICDM
Qiang Yang, Jie Yin, Charles X. Ling, Tielin Chen
2002 J jnl
Editorial Notes.
Int. J. Found. Comput. Sci.
Charles X. Ling, Nick Cercone
2002 J jnl
Improving Encarta Search Engine Performance by Mining User Logs.
Int. J. Pattern Recognit. Artif. Intell.
Charles X. Ling, Jianfeng Gao, Huajie Zhang, Weining Qian, HongJiang Zhang
2002 J jnl
Learning Prosodic Patterns for Mandarin Speech Synthesis.
J. Intell. Inf. Syst.
Yiqiang Chen, Wen Gao, Tingshao Zhu, Charles X. Ling
2002 J jnl
Learning good prototypes for classification using filtering and abstraction of instances.
Pattern Recognit.
Wai Lam, Chi-Kin Keung, Charles X. Ling
2002 A* conf
Mining Optimal Actions for Profitable CRM.
ICDM
Charles X. Ling, Tielin Chen, Qiang Yang, Jie Cheng
2002 A* conf
Representational Upper Bounds of Bayesian Networks.
ICML
Huajie Zhang, Charles X. Ling
2002 J jnl
The Representational Power of Discrete Bayesian Networks.
J. Mach. Learn. Res.
Charles X. Ling, Huajie Zhang
2002 B conf
Toward Bayesian Classifiers with Accurate Probabilities.
PAKDD
Charles X. Ling, Huajie Zhang
2001 B conf
An Improved Learning Algorithm for Augmented Naive Bayes.
PAKDD
Huajie Zhang, Charles X. Ling
2001 — conf
Geometric Properties of Naive Bayes in Nominal Domains.
ECML
Huajie Zhang, Charles X. Ling
2001 A* conf
Learnability of Augmented Naive Bayes in Nonimal Domains.
ICML
Huajie Zhang, Charles X. Ling
2001 — conf
Mining Generalized Query Patterns from Web Logs.
HICSS
Charles X. Ling, Jianfeng Gao, Huajie Zhang, Weining Qian, HongJiang Zhang
2000 Misc conf
The Learnability of Naive Bayes.
AI
Huajie Zhang, Charles X. Ling, Zhiduo Zhao
1998 J jnl
Computational Cognitive Modeling, the Source of Power, and Other Related Issues.
AI Mag.
Ron Sun, Charles X. Ling
1998 A* conf
Data Mining for Direct Marketing: Problems and Solutions.
KDD
Charles X. Ling, Chenghui Li
1998 — conf
Grapheme Generation in Learning to Read English Words.
Canadian AI
Charles X. Ling, Bei Zhang
1997 — conf
Alignment Algorithms for Learning to Read Aloud.
IJCAI (2)
Charles X. Ling, Handong Wang
1997 J jnl
Computing Optimal Attribute Weight Settings for Nearest Neighbor Algorithms.
Artif. Intell. Rev.
Charles X. Ling, Hangdong Wang
1997 J jnl
Setting Attribute Weights for Nearest Neighour Learning Algorithms Using C4.5.
Int. J. Pattern Recognit. Artif. Intell.
Charles X. Ling, John J. Parry, Hangdong Wang
1996 J jnl
A Decision-Tree Model of Balance Scale Development.
Mach. Learn.
William C. Schmidt, Charles X. Ling
1996 Misc conf
Learning Classifications from Multiple Sources of Unsupervised Data.
AI
Charles X. Ling, Handong Wang
1995 J jnl
Overfitting and generalization in learning discrete patterns.
Neurocomputing
Charles X. Ling
1994 J jnl
A Symbolic Model of the Nonconscious Acquisition of Information.
Cogn. Sci.
Charles X. Ling, Marin Marinov
1994 — conf
Inverting Implication with Small Training Sets.
ECML
David W. Aha, Stephane Lapointe, Charles X. Ling, Stan Matwin
1994 A* conf
Learning Recursive Relations with Randomly Selected Small Training Sets.
ICML
David W. Aha, Stephane Lapointe, Charles X. Ling, Stan Matwin
1994 J jnl
Learning the Past Tense of English Verbs: The Symbolic Pattern Associator vs. Connectionist Models
CoRR
Charles X. Ling
1994 J jnl
Learning the Past Tense of English Verbs: The Symbolic Pattern Associator vs. Connectionist Models.
J. Artif. Intell. Res.
Charles X. Ling
1994 J jnl
Learning to Control Dynamic Systems with Automatic Quantization.
Adapt. Behav.
Charles X. Ling, Ralph Buchal
1993 A* conf
A Symbolic Model for Learning the Past-Tenses of English Verbs.
IJCAI
Charles X. Ling, Steven Cherwenka, Marin Marinov
1993 A* conf
Constructive Inductive Logic Programming.
IJCAI
Stephane Lapointe, Charles X. Ling, Stan Matwin
1993 — conf
Learning to Control Dynamic Systems with Automatic Quantization.
ECML
Charles X. Ling, Ralph Buchal
1991 A* conf
Inductive Learning from Good Examples.
IJCAI
Charles X. Ling