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ORCIDCharles Ling 0001
Charles X. Ling – Charles X. F. Ling
Person information
- affiliation: Western University, London, ON, Canada
- affiliation (PhD 1989): University of Pennsylvania, Philadelphia, PA, USA
Other persons with the same name
- Charles Ling 0002 — University of California Los Angeles, CA, USA
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2020 – today
- 2024
[j60]Maxwell J. Yin
, Boyu Wang, Charles Ling:
A fast local citation recommendation algorithm scalable to multi-topics. Expert Syst. Appl. 238(Part C): 122031 (2024)- [j59]Ganyu Wang, Qingsong Zhang, Xiang Li, Boyu Wang, Bin Gu, Charles X. Ling:
Secure and fast asynchronous Vertical Federated Learning via cascaded hybrid optimization. Mach. Learn. 113(9): 6413-6451 (2024) - [j58]Maxwell J. Yin, Boyu Wang, Yue Dong, Charles Ling:
Source-Free Domain Adaptation for Question Answering with Masked Self-training. Trans. Assoc. Comput. Linguistics 12: 721-737 (2024) - [j57]Sepehr Asgarian, Ze Wang, Feng Wan, Chi Man Wong, Feng Liu, Yalda Mohsenzadeh, Boyu Wang, Charles X. Ling:
Multiview Contrastive Learning for Unsupervised Domain Adaptation in Brain-Computer Interfaces. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - [j56]Jiaqi Li, Yuanhao Lai, Rui Wang, Changjian Shui, Sabyasachi Sahoo, Charles X. Ling, Shichun Yang, Boyu Wang, Christian Gagné, Fan Zhou:
Hessian Aware Low-Rank Perturbation for Order-Robust Continual Learning. IEEE Trans. Knowl. Data Eng. 36(11): 6385-6396 (2024) - [c109]Qiuhao Zeng, Wei Wang, Fan Zhou, Gezheng Xu, Ruizhi Pu, Changjian Shui, Christian Gagné, Shichun Yang, Charles X. Ling, Boyu Wang:
Generalizing across Temporal Domains with Koopman Operators. AAAI 2024: 16651-16659 - [c108]Diyang Li, Charles Ling, Zhiqiang Xu, Huan Xiong, Bin Gu:
Learning No-Regret Sparse Generalized Linear Models with Varying Observation(s). ICLR 2024 - [c107]Qiuhao Zeng, Changjian Shui, Long-Kai Huang, Peng Liu, Xi Chen, Charles Ling, Boyu Wang:
Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time. ICLR 2024 - [c106]Gezheng Xu, Qi Chen, Charles Ling, Boyu Wang, Changjian Shui:
Intersectional Unfairness Discovery. ICML 2024 - [c105]Nima Hosseini Dashtbayaz, Ghazal Farhani, Boyu Wang, Charles X. Ling:
Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations. IJCAI 2024: 5853-5861 - [c104]Maxwell Yin, Boyu Wang, Charles Ling:
Source-Free Unsupervised Domain Adaptation for Question Answering via Prompt-Assisted Self-learning. NAACL-HLT (Findings) 2024: 700-713 - [i24]Qiuhao Zeng, Wei Wang, Fan Zhou, Gezheng Xu, Ruizhi Pu, Changjian Shui, Christian Gagné, Shichun Yang, Boyu Wang, Charles X. Ling:
Generalizing across Temporal Domains with Koopman Operators. CoRR abs/2402.07834 (2024) - [i23]Nima Hosseini Dashtbayaz, Ghazal Farhani, Boyu Wang, Charles X. Ling:
Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations. CoRR abs/2405.01680 (2024) - [i22]Gezheng Xu, Qi Chen, Charles Ling, Boyu Wang, Changjian Shui:
Intersectional Unfairness Discovery. CoRR abs/2405.20790 (2024) - [i21]Maxwell J. Yin, Boyu Wang, Charles Ling:
MABR: A Multilayer Adversarial Bias Removal Approach Without Prior Bias Knowledge. CoRR abs/2408.05497 (2024) - [i20]Pengcheng Xu, Boyuan Jiang, Xiaobin Hu, Donghao Luo, Qingdong He, Jiangning Zhang, Chengjie Wang, Yunsheng Wu, Charles Ling, Boyu Wang:
Unveil Inversion and Invariance in Flow Transformer for Versatile Image Editing. CoRR abs/2411.15843 (2024) - [i19]Ruizhi Pu, Gezheng Xu, Ruiyi Fang, Binkun Bao, Charles X. Ling, Boyu Wang:
Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression. CoRR abs/2412.12327 (2024) - 2023
- [j55]Jiaqi Li, Haojia Kong, Gezheng Xu, Changjian Shui, Ruizhi Pu, Zhao Kang, Charles X. Ling, Boyu Wang:
Label shift conditioned hybrid querying for deep active learning. Knowl. Based Syst. 274: 110616 (2023) - [j54]Fan Zhou, Yuyi Chen, Jun Wen, Qiuhao Zeng, Changjian Shui, Charles X. Ling, Shichun Yang, Boyu Wang:
Episodic task agnostic contrastive training for multi-task learning. Neural Networks 162: 34-45 (2023) - [j53]Changjian Shui, Ruizhi Pu, Gezheng Xu, Jun Wen, Fan Zhou, Christian Gagné, Charles X. Ling, Boyu Wang:
Towards More General Loss and Setting in Unsupervised Domain Adaptation. IEEE Trans. Knowl. Data Eng. 35(10): 10140-10150 (2023) - [j52]Ziran Xiong, Charles X. Ling, Bin Gu:
Kernel Error Path Algorithm. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8866-8878 (2023) - [c103]Pengcheng Xu, Boyu Wang, Charles Ling:
Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation. AAAI 2023: 3036-3044 - [c102]Qiuhao Zeng, Wei Wang, Fan Zhou, Charles Ling, Boyu Wang:
Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment. AAAI 2023: 11147-11155 - [c101]Wei Wang, Zhun Zhong, Weijie Wang, Xi Chen, Charles Ling, Boyu Wang, Nicu Sebe:
Dynamically Instance-Guided Adaptation: A Backward-free Approach for Test-Time Domain Adaptive Semantic Segmentation. CVPR 2023: 24090-24099 - [c100]Li Yi, Gezheng Xu, Pengcheng Xu, Jiaqi Li, Ruizhi Pu, Charles Ling, A. Ian McLeod, Boyu Wang:
When Source-Free Domain Adaptation Meets Learning with Noisy Labels. ICLR 2023 - [c99]Ganyu Wang, Bin Gu, Qingsong Zhang, Xiang Li, Boyu Wang, Charles X. Ling:
A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning. NeurIPS 2023 - [e3]Victor S. Sheng, Chindo Hicks, Charles Ling, Vijay Raghavan, Xindong Wu:
IEEE International Conference on Knowledge Graph, ICKG 2023, Shanghai, China, December 1-2, 2023. IEEE 2023, ISBN 979-8-3503-0709-2 [contents] - [i18]Qiuhao Zeng, Wei Wang, Fan Zhou, Charles Ling, Boyu Wang:
Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-Stationary Environments. CoRR abs/2301.07845 (2023) - [i17]Li Yi, Gezheng Xu, Pengcheng Xu, Jiaqi Li, Ruizhi Pu, Charles Ling, A. Ian McLeod, Boyu Wang:
When Source-Free Domain Adaptation Meets Learning with Noisy Labels. CoRR abs/2301.13381 (2023) - [i16]Pengcheng Xu, Boyu Wang, Charles Ling:
Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation. CoRR abs/2302.01516 (2023) - [i15]Ganyu Wang, Qingsong Zhang, Li Xiang, Boyu Wang, Bin Gu, Charles Ling:
Secure and Fast Asynchronous Vertical Federated Learning via Cascaded Hybrid Optimization. CoRR abs/2306.16077 (2023) - [i14]Jiaqi Li, Rui Wang, Yuanhao Lai, Changjian Shui, Sabyasachi Sahoo, Charles X. Ling, Shichun Yang, Boyu Wang, Christian Gagné, Fan Zhou:
Hessian Aware Low-Rank Weight Perturbation for Continual Learning. CoRR abs/2311.15161 (2023) - [i13]William Wei Wang, Dongqi Han, Xufang Luo, Yifei Shen, Charles Ling, Boyu Wang, Dongsheng Li:
Toward Open-ended Embodied Tasks Solving. CoRR abs/2312.05822 (2023) - 2022
- [c98]Changjian Shui, Gezheng Xu, Qi Chen, Jiaqi Li, Charles X. Ling, Tal Arbel, Boyu Wang, Christian Gagné:
On Learning Fairness and Accuracy on Multiple Subgroups. NeurIPS 2022 - [i12]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) - [i11]Changjian Shui, Gezheng Xu, Qi Chen, Jiaqi Li, Charles Ling, Tal Arbel, Boyu Wang, Christian Gagné:
On Learning Fairness and Accuracy on Multiple Subgroups. CoRR abs/2210.10837 (2022) - [i10]Maxwell J. Yin, Boyu Wang, Yue Dong, Charles Ling:
Source-Free Domain Adaptation for Question Answering with Masked Self-training. CoRR abs/2212.09563 (2022) - 2021
- [j51]Bin Gu, Charles X. Ling:
Generalized error path algorithm. Pattern Recognit. 120: 108112 (2021) - [c97]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
- [j50]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) - [j49]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) - [c96]Chuanming Wang, Huiyuan Fu, Charles X. Ling, Peilun Du, Huadong Ma:
Region-Based Global Reasoning Networks. AAAI 2020: 12136-12143 - [c95]Xinyu Yun, Tanner A. Bohn, Charles X. Ling:
A Deeper Look at Bongard Problems. Canadian AI 2020: 528-539 - [c94]Tanner A. Bohn, Charles X. Ling:
Catching Attention with Automatic Pull Quote Selection. COLING 2020: 62-76 - [c93]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
- [c92]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
- [j48]Xiang Li, Huaimin Wang, Bin Gu, Charles X. Ling:
The convergence of linear classifiers on large sparse data. Neurocomputing 273: 622-633 (2018) - [j47]Nima Mirbakhsh, Charles X. Ling:
Leveraging clustering to improve collaborative filtering. Inf. Syst. Frontiers 20(1): 111-124 (2018) - [c91]Robert J. Wang, Xiang Li, Shuang Ao, Charles X. Ling:
Pelee: A Real-Time Object Detection System on Mobile Devices. ICLR (Workshop) 2018 - [c90]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
- [c89]Shuang Ao, Xiang Li, Charles X. Ling:
Fast Generalized Distillation for Semi-Supervised Domain Adaptation. AAAI 2017: 1719-1725 - [c88]Shuang Ao, Xiang Li, Charles X. Ling:
Effective Multiclass Transfer for Hypothesis Transfer Learning. PAKDD (2) 2017: 64-75 - [c87]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
- [j46]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
- [j45]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) - [c86]Xiang Li, Charles X. Ling, Huaimin Wang:
The Convergence Behavior of Naive Bayes on Large Sparse Datasets. ICDM 2015: 853-858 - [c85]Shuang Ao, Charles X. Ling:
Adapting New Categories for Food Recognition with Deep Representation. ICDM Workshops 2015: 1196-1203 - [c84]Bin Gu, Charles X. Ling:
A New Generalized Error Path Algorithm for Model Selection. ICML 2015: 2549-2558 - [c83]Xiang Li, Huaimin Wang, Bin Gu, Charles X. Ling:
Data Sparseness in Linear SVM. IJCAI 2015: 3628-3634 - 2014
- [j44]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) - [j43]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) - [c82]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 - [c81]Yan Luo, Charles X. Ling, Shuang Ao:
Mobile-based food classification for Type-2 Diabetes using nutrient and textual features. DSAA 2014: 563-569 - [c80]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 - [c79]Yue Yu, Huaimin Wang, Gang Yin, Charles X. Ling:
Reviewer Recommender of Pull-Requests in GitHub. ICSME 2014: 609-612 - 2013
- [j42]Linzi Yin, Weihua Gui, Chunhua Yang, Xiaoli Wang, Charles X. Ling:
Core set analysis in inconsistent decision tables. Inf. Sci. 241: 138-147 (2013) - [j41]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) - [c78]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 - [c77]Xiao Li, Charles X. Ling, Huaimin Wang:
Effective Top-Down Active Learning for Hierarchical Text Classification. PAKDD (2) 2013: 233-244 - [c76]Eileen A. Ni, Da Kuang, Charles X. Ling:
Decisive Supervised Learning. PAKDD (1) 2013: 426-437 - [c75]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, ISBN 978-3-031-79350-9 - [j40]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) - [c74]Xiao Li, Da Kuang, Charles X. Ling:
Active Learning for Hierarchical Text Classification. PAKDD (1) 2012: 14-25 - [c73]Da Kuang, Charles X. Ling, Jun Du:
Foundation of Mining Class-Imbalanced Data. PAKDD (1) 2012: 219-230 - [c72]Eileen A. Ni, Charles X. Ling:
Active Learning with c-Certainty. PAKDD (1) 2012: 231-242 - [e2]Jilles Vreeken, Charles Ling, Mohammed Javeed Zaki, Arno Siebes, Jeffrey Xu Yu, Bart Goethals, Geoffrey I. Webb, Xindong Wu:
12th IEEE International Conference on Data Mining Workshops, ICDM Workshops, Brussels, Belgium, December 10, 2012. IEEE Computer Society 2012, ISBN 978-1-4673-5164-5 [contents] - 2011
- [j39]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) - [j38]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) - [j37]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) - [j36]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) - [c71]Eileen A. Ni, Charles X. Ling:
Direct Marketing with Fewer Mistakes. ADMA (1) 2011: 256-269 - [c70]Eileen A. Ni, Charles X. Ling:
Learning with Guaranteed Label Quality. ICMLA (1) 2011: 490-495 - [c69]Da Kuang, Xiao Li, Charles X. Ling:
A New Search Engine Integrating Hierarchical Browsing and Keyword Search. IJCAI 2011: 2464-2469 - [c68]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 - [c67]Jun Du, Charles X. Ling:
Asking Generalized Queries with Minimum Cost. PAKDD (2) 2011: 395-406 - [c66]Jun Du, Charles X. Ling:
Active Teaching for Inductive Learners. SDM 2011: 851-861 - 2010
- [j35]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) - [j34]Charles Ling:
Introduction to the Special Issue of Advanced Data Mining and Applications. Comput. Intell. 26(3): 213-214 (2010) - [j33]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) - [j32]Jun Du, Charles X. Ling:
Asking Generalized Queries to Domain Experts to Improve Learning. IEEE Trans. Knowl. Data Eng. 22(6): 812-825 (2010) - [c65]Jun Du, Eileen A. Ni, Charles X. Ling:
Adapting cost-sensitive learning for reject option. CIKM 2010: 1865-1868 - [c64]Jun Du, Charles X. Ling:
Active Learning with Human-Like Noisy Oracle. ICDM 2010: 797-802 - [c63]Eileen A. Ni, Charles X. Ling:
Supervised Learning with Minimal Effort. PAKDD (2) 2010: 476-487 - [c62]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
- [j31]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) - [c61]Charles Ling:
From Machine Learning to Child Learning. ADMA 2009: 2 - [c60]Jun Du, Charles X. Ling:
Co-Training on Handwritten Digit Recognition. Canadian 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 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
- [j30]Yiqiu Han, Wai Lam, Charles X. Ling:
Customized classification learning based on query projections. Inf. Sci. 177(17): 3557-3573 (2007) - [j29]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 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
- [j28]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) - [j27]Charles X. Ling, Qiang Yang:
Discovering Classification from Data of Multiple Sources. Data Min. Knowl. Discov. 12(2-3): 181-201 (2006) - [j26]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) - [j25]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) - [j24]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) - [j23]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
- [j22]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) - [j21]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) - [j20]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) - [j19]Jin Huang, Charles X. Ling:
Using AUC and Accuracy in Evaluating Learning Algorithms. IEEE Trans. Knowl. Data Eng. 17(3): 299-310 (2005) - [j18]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
- [j17]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 AI 2004: 175-186 - [c31]Jianning Wang, Charles X. Ling:
Artificial Aging of Faces by Support Vector Machines. Canadian 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
- [j16]Harry Zhang, Charles X. Ling:
Numeric Mapping and Learnability of Naive Bayes. Appl. Artif. Intell. 17(5-6): 507-518 (2003) - [j15]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. AI 2003: 329-341 - [c24]Harry Zhang, Charles X. Ling:
A Fundamental Issue of Naive Bayes. 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]Qiang Yang, Jie Yin, Charles X. Ling, Tielin Chen:
Postprocessing Decision Trees to Extract Actionable Knowledge. ICDM 2003: 685-688 - [c21]Charles X. Ling, Robert J. Yan:
Decision Tree with Better Ranking. ICML 2003: 480-487 - [c20]Charles X. Ling, Jin Huang, Harry Zhang:
AUC: a Statistically Consistent and more Discriminating Measure than Accuracy. IJCAI 2003: 519-526 - [c19]Yiqiang Chen, Wen Gao, Lijuan Duan, Xiang Chen, Charles X. Ling:
Intelligent Protein 3D Structure Retrieval System. ISMIS 2003: 108-115 - 2002
- [j14]Charles X. Ling, Nick Cercone:
Editorial Notes. Int. J. Found. Comput. Sci. 13(4): 473-475 (2002) - [j13]Charles X. Ling, Jianfeng Gao, Huajie Zhang, Weining Qian, HongJiang Zhang:
Improving Encarta Search Engine Performance by Mining User Logs. Int. J. Pattern Recognit. Artif. Intell. 16(8): 1101-1116 (2002) - [j12]Yiqiang Chen, Wen Gao, Tingshao Zhu, Charles X. Ling:
Learning Prosodic Patterns for Mandarin Speech Synthesis. J. Intell. Inf. Syst. 19(1): 95-109 (2002) - [j11]Charles X. Ling, Huajie Zhang:
The Representational Power of Discrete Bayesian Networks. J. Mach. Learn. Res. 3: 709-721 (2002) - [j10]Wai Lam, Chi-Kin Keung, Charles X. Ling:
Learning good prototypes for classification using filtering and abstraction of instances. Pattern Recognit. 35(7): 1491-1506 (2002) - [c18]Charles X. Ling, Tielin Chen, Qiang Yang, Jie Cheng:
Mining Optimal Actions for Profitable CRM. ICDM 2002: 767-770 - [c17]Huajie Zhang, Charles X. Ling:
Representational Upper Bounds of Bayesian Networks. ICML 2002: 674-681 - [c16]Charles X. Ling, Huajie Zhang:
Toward Bayesian Classifiers with Accurate Probabilities. PAKDD 2002: 123-134 - 2001
- [c15]Huajie Zhang, Charles X. Ling:
Geometric Properties of Naive Bayes in Nominal Domains. ECML 2001: 588-599 - [c14]Charles X. Ling, Jianfeng Gao, Huajie Zhang, Weining Qian, HongJiang Zhang:
Mining Generalized Query Patterns from Web Logs. HICSS 2001 - [c13]Huajie Zhang, Charles X. Ling:
Learnability of Augmented Naive Bayes in Nonimal Domains. ICML 2001: 617-623 - [c12]Huajie Zhang, Charles X. Ling:
An Improved Learning Algorithm for Augmented Naive Bayes. PAKDD 2001: 581-586 - 2000
- [c11]Huajie Zhang, Charles X. Ling, Zhiduo Zhao:
The Learnability of Naive Bayes. AI 2000: 432-441
1990 – 1999
- 1998
- [j9]Ron Sun, Charles X. Ling:
Computational Cognitive Modeling, the Source of Power, and Other Related Issues. AI Mag. 19(2): 113-120 (1998) - [c10]Charles X. Ling, Bei Zhang:
Grapheme Generation in Learning to Read English Words. Canadian AI 1998: 184-195 - [c9]Charles X. Ling, Chenghui Li:
Data Mining for Direct Marketing: Problems and Solutions. KDD 1998: 73-79 - 1997
- [j8]Charles X. Ling, Hangdong Wang:
Computing Optimal Attribute Weight Settings for Nearest Neighbor Algorithms. Artif. Intell. Rev. 11(1-5): 255-272 (1997) - [j7]Charles X. Ling, John J. Parry, Hangdong Wang:
Setting Attribute Weights for Nearest Neighour Learning Algorithms Using C4.5. Int. J. Pattern Recognit. Artif. Intell. 11(3): 405-415 (1997) - [c8]Charles X. Ling, Handong Wang:
Alignment Algorithms for Learning to Read Aloud. IJCAI (2) 1997: 874-879 - 1996
- [j6]William C. Schmidt, Charles X. Ling:
A Decision-Tree Model of Balance Scale Development. Mach. Learn. 24(3): 203-230 (1996) - [c7]Charles X. Ling, Handong Wang:
Learning Classifications from Multiple Sources of Unsupervised Data. AI 1996: 284-295 - 1995
- [j5]Charles X. F. Ling, Marco Valtorta:
Refinement of Uncertain Rule Bases via Reduction. Int. J. Approx. Reason. 13(2): 95-126 (1995) - [j4]Charles X. Ling:
Overfitting and generalization in learning discrete patterns. Neurocomputing 8(3): 341-347 (1995) - 1994
- [j3]Charles X. Ling, Ralph Buchal:
Learning to Control Dynamic Systems with Automatic Quantization. Adapt. Behav. 3(1): 29-49 (1994) - [j2]Charles X. Ling, Marin Marinov:
A Symbolic Model of the Nonconscious Acquisition of Information. Cogn. Sci. 18(4): 595-621 (1994) - [j1]Charles X. Ling:
Learning the Past Tense of English Verbs: The Symbolic Pattern Associator vs. Connectionist Models. J. Artif. Intell. Res. 1: 209-229 (1994) - [c6]David W. Aha, Stephane Lapointe, Charles X. Ling, Stan Matwin:
Inverting Implication with Small Training Sets. ECML 1994: 31-48 - [c5]David W. Aha, Stephane Lapointe, Charles X. Ling, Stan Matwin:
Learning Recursive Relations with Randomly Selected Small Training Sets. ICML 1994: 12-18 - [i1]Charles X. Ling:
Learning the Past Tense of English Verbs: The Symbolic Pattern Associator vs. Connectionist Models. CoRR cs.AI/9402101 (1994) - 1993
- [c4]Charles X. Ling, Ralph Buchal:
Learning to Control Dynamic Systems with Automatic Quantization. ECML 1993: 372-377 - [c3]Stephane Lapointe, Charles X. Ling, Stan Matwin:
Constructive Inductive Logic Programming. IJCAI 1993: 1030-1036 - [c2]Charles X. Ling, Steven Cherwenka, Marin Marinov:
A Symbolic Model for Learning the Past-Tenses of English Verbs. IJCAI 1993: 1143-1149 - 1991
- [c1]Charles X. Ling:
Inductive Learning from Good Examples. IJCAI 1991: 751-756
Coauthor Index
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