Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDCharles X. Ling
Person information
- affiliation: University of Western Ontario, Canada
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2022
[i10]William Wei Wang, Gezheng Xu, Ruizhi Pu, Jiaqi Li, Fan Zhou, Changjian Shui, Charles X. Ling, Christian Gagné, Boyu Wang:
Evolving Domain Generalization. CoRR abs/2206.00047 (2022)- 2021
- [j49]Bin Gu, Charles X. Ling:
Generalized error path algorithm. Pattern Recognit. 120: 108112 (2021) - [c96]Changjian Shui, Zijian Li, Jiaqi Li
, Christian Gagné, Charles X. Ling, Boyu Wang:
Aggregating From Multiple Target-Shifted Sources. ICML 2021: 9638-9648 - [i9]Charles X. Ling, Tanner A. Bohn:
A Deep Learning Framework for Lifelong Machine Learning. CoRR abs/2105.00157 (2021) - [i8]Tanner A. Bohn, Charles X. Ling:
Hone as You Read: A Practical Type of Interactive Summarization. CoRR abs/2105.02923 (2021) - [i7]Changjian Shui, Zijian Li, Jiaqi Li, Christian Gagné, Charles X. Ling, Boyu Wang:
Aggregating From Multiple Target-Shifted Sources. CoRR abs/2105.04051 (2021) - 2020
- [j48]Xusheng Ai, Victor S. Sheng, Wei Fang, Charles X. Ling, Chunhua Li:
Ensemble Learning With Attention-Integrated Convolutional Recurrent Neural Network for Imbalanced Speech Emotion Recognition. IEEE Access 8: 199909-199919 (2020) - [j47]Xusheng Ai, Victor S. Sheng, Wei Fang, Charles X. Ling:
An optimal model with a lower bound of recall for imbalanced speech emotion recognition. Multim. Tools Appl. 79(33-34): 24281-24301 (2020) - [c95]Chuanming Wang, Huiyuan Fu, Charles X. Ling, Peilun Du, Huadong Ma:
Region-Based Global Reasoning Networks. AAAI 2020: 12136-12143 - [c94]Xinyu Yun, Tanner A. Bohn, Charles X. Ling:
A Deeper Look at Bongard Problems. Canadian Conference on AI 2020: 528-539 - [c93]Tanner A. Bohn, Charles X. Ling:
Catching Attention with Automatic Pull Quote Selection. COLING 2020: 62-76 - [c92]Tanner A. Bohn, Xinyu Yun, Charles X. Ling:
Towards a Unified Lifelong Learning Framework. Preregister@NeurIPS 2020: 221-235 - [i6]Tanner A. Bohn, Charles X. Ling:
Catching Attention with Automatic Pull Quote Selection. CoRR abs/2005.13263 (2020)
2010 – 2019
- 2019
- [c91]Tanner A. Bohn, Yining Hu, Jinhang Zhang, Charles X. Ling:
Learning Sentence Embeddings for Coherence Modelling and Beyond. RANLP 2019: 151-160 - [i5]Tanner A. Bohn, Yining Hu, Charles X. Ling:
Few-Shot Abstract Visual Reasoning With Spectral Features. CoRR abs/1910.01833 (2019) - [i4]Charles X. Ling, Tanner A. Bohn:
A Unified Framework for Lifelong Learning in Deep Neural Networks. CoRR abs/1911.09704 (2019) - 2018
- [j46]Xiang Li, Huaimin Wang, Bin Gu, Charles X. Ling:
The convergence of linear classifiers on large sparse data. Neurocomputing 273: 622-633 (2018) - [j45]Nima Mirbakhsh, Charles X. Ling:
Leveraging clustering to improve collaborative filtering. Inf. Syst. Frontiers 20(1): 111-124 (2018) - [c90]Robert J. Wang, Xiang Li, Shuang Ao, Charles X. Ling:
Pelee: A Real-Time Object Detection System on Mobile Devices. ICLR (Workshop) 2018 - [c89]Jun Wang, Tanner A. Bohn, Charles X. Ling:
Pelee: A Real-Time Object Detection System on Mobile Devices. NeurIPS 2018: 1967-1976 - [i3]Robert J. Wang, Xiang Li, Shuang Ao, Charles X. Ling:
Pelee: A Real-Time Object Detection System on Mobile Devices. CoRR abs/1804.06882 (2018) - [i2]Tanner A. Bohn, Charles X. Ling:
Neural Sentence Location Prediction for Summarization. CoRR abs/1804.08053 (2018) - 2017
- [c88]Shuang Ao, Xiang Li, Charles X. Ling:
Fast Generalized Distillation for Semi-Supervised Domain Adaptation. AAAI 2017: 1719-1725 - [c87]Shuang Ao, Xiang Li, Charles X. Ling:
Effective Multiclass Transfer for Hypothesis Transfer Learning. PAKDD (2) 2017: 64-75 - [c86]Xiang Li, Bin Gu, Shuang Ao, Huaimin Wang, Charles X. Ling:
Triply Stochastic Gradients on Multiple Kernel Learning. UAI 2017 - [r5]Charles X. Ling, Victor S. Sheng:
Class Imbalance Problem. Encyclopedia of Machine Learning and Data Mining 2017: 204-205 - [r4]Charles X. Ling, Victor S. Sheng:
Cost-Sensitive Learning. Encyclopedia of Machine Learning and Data Mining 2017: 285-289 - 2016
- [j44]Xiang Li, Charles X. Ling, Huaimin Wang:
The Convergence Behavior of Naive Bayes on Large Sparse Datasets. ACM Trans. Knowl. Discov. Data 11(1): 10:1-10:24 (2016) - 2015
- [j43]Nima Mirbakhsh, Charles X. Ling:
Improving Top-N Recommendation for Cold-Start Users via Cross-Domain Information. ACM Trans. Knowl. Discov. Data 9(4): 33:1-33:19 (2015) - [c85]Xiang Li, Charles X. Ling, Huaimin Wang:
The Convergence Behavior of Naive Bayes on Large Sparse Datasets. ICDM 2015: 853-858 - [c84]Shuang Ao, Charles X. Ling:
Adapting New Categories for Food Recognition with Deep Representation. ICDM Workshops 2015: 1196-1203 - [c83]Bin Gu, Charles X. Ling:
A New Generalized Error Path Algorithm for Model Selection. ICML 2015: 2549-2558 - [c82]Xiang Li, Huaimin Wang, Bin Gu, Charles X. Ling:
Data Sparseness in Linear SVM. IJCAI 2015: 3628-3634 - 2014
- [j42]Tao Wang, Huaimin Wang, Gang Yin, Charles X. Ling, Xiao Li, Peng Zou:
Tag recommendation for open source software. Frontiers Comput. Sci. 8(1): 69-82 (2014) - [j41]Xiaodong Huang, Huadong Ma, Charles X. Ling, Guangyu Gao:
Detecting both superimposed and scene text with multiple languages and multiple alignments in video. Multim. Tools Appl. 70(3): 1703-1727 (2014) - [c81]Yue Yu, Huaimin Wang, Gang Yin, Charles X. Ling:
Who Should Review this Pull-Request: Reviewer Recommendation to Expedite Crowd Collaboration. APSEC (1) 2014: 335-342 - [c80]Yan Luo, Charles X. Ling, Shuang Ao:
Mobile-based food classification for Type-2 Diabetes using nutrient and textual features. DSAA 2014: 563-569 - [c79]Yan Luo, Charles X. Ling, Jody Schuurman, Robert Petrella:
GlucoGuide: An Intelligent Type-2 Diabetes Solution Using Data Mining and Mobile Computing. ICDM Workshops 2014: 748-752 - [c78]Yue Yu, Huaimin Wang, Gang Yin, Charles X. Ling:
Reviewer Recommender of Pull-Requests in GitHub. ICSME 2014: 609-612 - 2013
- [j40]Linzi Yin, Weihua Gui, Chunhua Yang, Xiaoli Wang, Charles X. Ling:
Core set analysis in inconsistent decision tables. Inf. Sci. 241: 138-147 (2013) - [j39]Hongyan Liu, Jun He, Dan Zhu, Charles X. Ling, Xiaoyong Du:
Measuring Similarity Based on Link Information: A Comparative Study. IEEE Trans. Knowl. Data Eng. 25(12): 2823-2840 (2013) - [c77]Tao Wang, Huaimin Wang, Gang Yin, Charles X. Ling, Xiang Li, Peng Zou:
Mining Software Profile across Multiple Repositories for Hierarchical Categorization. ICSM 2013: 240-249 - [c76]Xiao Li, Charles X. Ling, Huaimin Wang:
Effective Top-Down Active Learning for Hierarchical Text Classification. PAKDD (2) 2013: 233-244 - [c75]Eileen A. Ni, Da Kuang, Charles X. Ling:
Decisive Supervised Learning. PAKDD (1) 2013: 426-437 - [c74]Nima Mirbakhsh, Charles X. Ling:
Clustering-based factorized collaborative filtering. RecSys 2013: 315-318 - 2012
- [b1]Charles X. Ling, Qiang Yang:
Crafting Your Research Future: A Guide to Successful Master's and Ph.D. Degrees in Science & Engineering. Synthesis Lectures on Engineering, Morgan & Claypool Publishers 2012 - [j38]Huadong Ma, Chengbin Zeng, Charles X. Ling:
A Reliable People Counting System via Multiple Cameras. ACM Trans. Intell. Syst. Technol. 3(2): 31:1-31:22 (2012) - [c73]Xiao Li, Da Kuang, Charles X. Ling:
Active Learning for Hierarchical Text Classification. PAKDD (1) 2012: 14-25 - [c72]Da Kuang, Charles X. Ling, Jun Du:
Foundation of Mining Class-Imbalanced Data. PAKDD (1) 2012: 219-230 - [c71]Eileen A. Ni, Charles X. Ling:
Active Learning with c-Certainty. PAKDD (1) 2012: 231-242 - 2011
- [j37]Zhihua Cai, Wenyin Gong, Charles X. Ling, Harry Zhang:
A clustering-based differential evolution for global optimization. Appl. Soft Comput. 11(1): 1363-1379 (2011) - [j36]Charles X. Ling:
Introduction to special issue on machine learning for business applications. ACM Trans. Intell. Syst. Technol. 2(3): 18:1-18:2 (2011) - [j35]Jun Du, Charles X. Ling, Zhi-Hua Zhou:
When Does Cotraining Work in Real Data? IEEE Trans. Knowl. Data Eng. 23(5): 788-799 (2011) - [j34]Wenyin Gong, Zhihua Cai, Charles X. Ling, Hui Li:
Enhanced Differential Evolution With Adaptive Strategies for Numerical Optimization. IEEE Trans. Syst. Man Cybern. Part B 41(2): 397-413 (2011) - [c70]Eileen A. Ni, Charles X. Ling:
Direct Marketing with Fewer Mistakes. ADMA (1) 2011: 256-269 - [c69]Eileen A. Ni, Charles X. Ling:
Learning with Guaranteed Label Quality. ICMLA (1) 2011: 490-495 - [c68]Da Kuang, Xiao Li, Charles X. Ling:
A New Search Engine Integrating Hierarchical Browsing and Keyword Search. IJCAI 2011: 2464-2469 - [c67]Jianfeng Du, Yong Hu, Charles X. Ling, Ming Fan, Mei Liu:
Efficient Action Extraction with Many-to-Many Relationship between Actions and Features. LORI 2011: 384-385 - [c66]Jun Du, Charles X. Ling:
Asking Generalized Queries with Minimum Cost. PAKDD (2) 2011: 395-406 - [c65]Jun Du, Charles X. Ling:
Active Teaching for Inductive Learners. SDM 2011: 851-861 - 2010
- [j33]Wenyin Gong, Zhihua Cai, Charles X. Ling, Hui Li:
A real-coded biogeography-based optimization with mutation. Appl. Math. Comput. 216(9): 2749-2758 (2010) - [j32]Wenyin Gong, Zhihua Cai, Charles X. Ling:
DE/BBO: a hybrid differential evolution with biogeography-based optimization for global numerical optimization. Soft Comput. 15(4): 645-665 (2010) - [j31]Jun Du, Charles X. Ling:
Asking Generalized Queries to Domain Experts to Improve Learning. IEEE Trans. Knowl. Data Eng. 22(6): 812-825 (2010) - [c64]Jun Du, Eileen A. Ni, Charles X. Ling:
Adapting cost-sensitive learning for reject option. CIKM 2010: 1865-1868 - [c63]Jun Du, Charles X. Ling:
Active Learning with Human-Like Noisy Oracle. ICDM 2010: 797-802 - [c62]Eileen A. Ni, Charles X. Ling:
Supervised Learning with Minimal Effort. PAKDD (2) 2010: 476-487 - [c61]Jun Du, Charles X. Ling:
Asking Generalized Queries to Ambiguous Oracle. ECML/PKDD (1) 2010: 377-392 - [r3]Charles X. Ling, Victor S. Sheng:
Class Imbalance Problem. Encyclopedia of Machine Learning 2010: 171 - [r2]Charles X. Ling, Victor S. Sheng:
Cost-Sensitive Learning. Encyclopedia of Machine Learning 2010: 231-235
2000 – 2009
- 2009
- [j30]Junfa Liu, Yiqiang Chen, Chunyan Miao, Jinjing Xie, Charles X. Ling, Xingyu Gao, Wen Gao:
Semi-Supervised Learning in Reconstructed Manifold Space for 3D Caricature Generation. Comput. Graph. Forum 28(8): 2104-2116 (2009) - [c60]Jun Du, Charles X. Ling:
Co-Training on Handwritten Digit Recognition. Canadian Conference on AI 2009: 203-206 - [c59]Wenyin Gong, Zhihua Cai, Charles X. Ling, Jun Du:
Hybrid differential evolution based on fuzzy C-means clustering. GECCO 2009: 523-530 - [c58]Jun Du, Charles X. Ling:
Active Learning with Generalized Queries. ICDM 2009: 120-128 - [c57]Wenyin Gong, Zhihua Cai, Charles X. Ling, Bo Huang:
A Point Symmetry-Based Automatic Clustering Approach Using Differential Evolution. ISICA 2009: 151-162 - [c56]Charles X. Ling, Jun Du, Zhi-Hua Zhou:
When does Co-training Work in Real Data?. PAKDD 2009: 596-603 - [r1]Victor S. Sheng, Charles X. Ling:
Cost-Sensitive Learning. Encyclopedia of Data Warehousing and Mining 2009: 339-345 - 2008
- [c55]Bin Wang, Bruce Spencer, Charles X. Ling, Harry Zhang:
Semi-supervised Self-training for Sentence Subjectivity Classification. Canadian Conference on AI 2008: 344-355 - [c54]Jiang Su, Harry Zhang, Charles X. Ling, Stan Matwin:
Discriminative parameter learning for Bayesian networks. ICML 2008: 1016-1023 - [c53]Charles X. Ling, Jun Du:
Active learning with direct query construction. KDD 2008: 480-487 - [c52]Jin Huang, Charles X. Ling, Harry Zhang, Stan Matwin:
Proper Model Selection with Significance Test. ECML/PKDD (1) 2008: 536-547 - [e1]Changjie Tang, Charles X. Ling, Xiaofang Zhou, Nick Cercone, Xue Li:
Advanced Data Mining and Applications, 4th International Conference, ADMA 2008, Chengdu, China, October 8-10, 2008. Proceedings. Lecture Notes in Computer Science 5139, Springer 2008, ISBN 978-3-540-88191-9 [contents] - 2007
- [j29]Yiqiu Han, Wai Lam, Charles X. Ling:
Customized classification learning based on query projections. Inf. Sci. 177(17): 3557-3573 (2007) - [j28]Qiang Yang, Jie Yin, Charles X. Ling, Rong Pan:
Extracting Actionable Knowledge from Decision Trees. IEEE Trans. Knowl. Data Eng. 19(1): 43-56 (2007) - [c51]Jun Du, Zhihua Cai, Charles X. Ling:
Cost-Sensitive Decision Trees with Pre-pruning. Canadian Conference on AI 2007: 171-179 - [c50]Victor S. Sheng, Charles X. Ling:
Roulette Sampling for Cost-Sensitive Learning. ECML 2007: 724-731 - [c49]Jin Huang, Charles X. Ling:
Constructing New and Better Evaluation Measures for Machine Learning. IJCAI 2007: 859-864 - [c48]Jinhua Zheng, Guixia Xiao, Wu Song, Xuyong Li, Charles X. Ling:
A Multi-Objective Genetic Algorithm Based on Density. ISICA 2007: 12-25 - [c47]Victor S. Sheng, Charles X. Ling:
Partial example acquisition in cost-sensitive learning. KDD 2007: 638-646 - [c46]Robert J. Yan, Charles X. Ling:
Machine learning for stock selection. KDD 2007: 1038-1042 - 2006
- [j27]Dequan Li, Wen Gao, Charles X. Ling, Xiaobiao Wang, Ruixiang Sun, Simin He:
IndexToolkit: an open source toolbox to index protein databases for high-throughput proteomics. Bioinform. 22(20): 2572-2573 (2006) - [j26]Charles X. Ling, Qiang Yang:
Discovering Classification from Data of Multiple Sources. Data Min. Knowl. Discov. 12(2-3): 181-201 (2006) - [j25]Qiang Yang, Charles X. Ling, Xiaoyong Chai, Rong Pan:
Test-Cost Sensitive Classification on Data with Missing Values. IEEE Trans. Knowl. Data Eng. 18(5): 626-638 (2006) - [j24]Charles X. Ling, Victor S. Sheng, Qiang Yang:
Test Strategies for Cost-Sensitive Decision Trees. IEEE Trans. Knowl. Data Eng. 18(8): 1055-1067 (2006) - [j23]Yonghong Tian, Qiang Yang, Tiejun Huang, Charles X. Ling, Wen Gao:
Learning Contextual Dependency Network Models for Link-Based Classification. IEEE Trans. Knowl. Data Eng. 18(11): 1482-1496 (2006) - [j22]Yiqiu Han, Wai Lam, Charles X. Ling:
Customized Generalization of Support Patterns for Classification. IEEE Trans. Syst. Man Cybern. Part B 36(6): 1306-1318 (2006) - [c45]Victor S. Sheng, Charles X. Ling:
Thresholding for Making Classifiers Cost-sensitive. AAAI 2006: 476-481 - [c44]Shengli Sheng, Charles X. Ling, Ailing Ni, Shichao Zhang:
Cost-Sensitive Test Strategies. AAAI 2006: 482-487 - [c43]Wenyin Gong, Zhihua Cai, Charles X. Ling:
ODE: A Fast and Robust Differential Evolution Based on Orthogonal Design. Australian Conference on Artificial Intelligence 2006: 709-718 - [c42]Chong Huang, Yonghong Tian, Zhi Zhou, Charles X. Ling, Tiejun Huang:
Keyphrase Extraction Using Semantic Networks Structure Analysis. ICDM 2006: 275-284 - [c41]Jin Huang, Charles X. Ling:
Constructing Ensembles for Better Ranking. ICDM 2006: 902-906 - [c40]Victor S. Sheng, Charles X. Ling:
Feature value acquisition in testing: a sequential batch test algorithm. ICML 2006: 809-816 - [c39]Charles X. Ling, Victor S. Sheng, Tilmann F. W. Bruckhaus, Nazim H. Madhavji:
Maximum profit mining and its application in software development. KDD 2006: 929-934 - 2005
- [j21]Dequan Li, Yan Fu, Ruixiang Sun, Charles X. Ling, Yonggang Wei, Hu Zhou, Rong Zeng, Qiang Yang, Simin He, Wen Gao:
pFind: a novel database-searching software system for automated peptide and protein identification via tandem mass spectrometry. Bioinform. 21(13): 3049-3050 (2005) - [j20]Charles X. Ling, William Stafford Noble, Qiang Yang:
Guest Editors' Introduction to the Special Issue: Machine Learning for Bioinformatics - Part 1. IEEE ACM Trans. Comput. Biol. Bioinform. 2(2): 81-82 (2005) - [j19]Charles X. Ling, William Stafford Noble, Qiang Yang:
Guest Editor's Introduction to the Special Issue: Machine Learning for Bioinformatics-Part 2. IEEE ACM Trans. Comput. Biol. Bioinform. 2(3): 177-178 (2005) - [j18]Jin Huang, Charles X. Ling:
Using AUC and Accuracy in Evaluating Learning Algorithms. IEEE Trans. Knowl. Data Eng. 17(3): 299-310 (2005) - [j17]Shichao Zhang, Zhenxing Qin, Charles X. Ling, Shengli Sheng:
"Missing Is Useful': Missing Values in Cost-Sensitive Decision Trees. IEEE Trans. Knowl. Data Eng. 17(12): 1689-1693 (2005) - [c38]Shengli Sheng, Charles X. Ling, Qiang Yang:
Simple Test Strategies for Cost-Sensitive Decision Trees. ECML 2005: 365-376 - [c37]Jin Huang, Charles X. Ling:
Partial Ensemble Classifiers Selection for Better Ranking. ICDM 2005: 653-656 - [c36]Charles X. Ling, Shengli Sheng, Tilmann F. W. Bruckhaus, Nazim H. Madhavji:
Predicting Software Escalations with Maximum ROI. ICDM 2005: 717-720 - [c35]Shengli Sheng, Charles X. Ling:
Hybrid Cost-Sensitive Decision Tree. PKDD 2005: 274-284 - [c34]Jin Huang, Charles X. Ling:
Rank Measures for Ordering. PKDD 2005: 503-510 - [c33]Jin Huang, Charles X. Ling:
Dynamic Ensemble Re-Construction for Better Ranking. PKDD 2005: 511-518 - 2004
- [j16]Yan Fu, Qiang Yang, Ruixiang Sun, Dequan Li, Rong Zeng, Charles X. Ling, Wen Gao:
Exploiting the kernel trick to correlate fragment ions for peptide identification via tandem mass spectrometry. Bioinform. 20(12): 1948-1954 (2004) - [c32]Jinhua Zheng, Charles X. Ling, Zhongzhi Shi, Juan Xue, Xuyong Li:
A Multi-objective Genetic Algorithm Based on Quick Sort. Canadian Conference on AI 2004: 175-186 - [c31]Jianning Wang, Charles X. Ling:
Artificial Aging of Faces by Support Vector Machines. Canadian Conference on AI 2004: 499-503 - [c30]Jinhua Zheng, Charles X. Ling, Zhongzhi Shi, Yong Xie:
Some discussions about MOGAs: individual relations, non-dominated set, and application on automatic negotiation. IEEE Congress on Evolutionary Computation 2004: 706-712 - [c29]Xiaoyong Chai, Lin Deng, Qiang Yang, Charles X. Ling:
Test-Cost Sensitive Naive Bayes Classification. ICDM 2004: 51-58 - [c28]Charles X. Ling, Qiang Yang, Jianning Wang, Shichao Zhang:
Decision trees with minimal costs. ICML 2004 - [c27]Jinhua Zheng, Zhongzhi Shi, Charles X. Ling, Yong Xie:
A New Method to Construct the Non-Dominated Set in Multi-Objective Genetic Algorithms. Intelligent Information Processing 2004: 456-470 - [c26]Yan Fu, Qiang Yang, Charles X. Ling, Haipeng Wang, Dequan Li, Ruixiang Sun, Hu Zhou, Rong Zeng, Yiqiang Chen, Simin He, Wen Gao:
A Kernel-Based Case Retrieval Algorithm with Application to Bioinformatics. PRICAI 2004: 544-553 - 2003
- [j15]Harry Zhang, Charles X. Ling:
Numeric Mapping and Learnability of Naive Bayes. Appl. Artif. Intell. 17(5-6): 507-518 (2003) - [j14]Jean-Luc Koning, Charles X. Ling:
Cognitive agents and multiagent interaction. Cogn. Syst. Res. 4(3): 167-168 (2003) - [c25]Charles X. Ling, Jin Huang, Harry Zhang:
AUC: A Better Measure than Accuracy in Comparing Learning Algorithms. Canadian Conference on AI 2003: 329-341 - [c24]Harry Zhang, Charles X. Ling:
A Fundamental Issue of Naive Bayes. Canadian Conference on AI 2003: 591-595 - [c23]Jin Huang, Jingjing Lu, Charles X. Ling:
Comparing Naive Bayes, Decision Trees, and SVM with AUC and Accuracy. ICDM 2003: 553-556 - [c22]