Charles X. Ling

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 38

Top Venues

CoRR

NeurIPS

AAAI

ACM Trans. Knowl. Discov. Data

Publications

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 (2024)
Nima Hosseini Dashtbayaz, Ghazal Farhani, Boyu Wang, Charles X. Ling
Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations. CoRR (2024)
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 (2024)
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) (2024)
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)
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 (2023)
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) (2023)
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)
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 (2023)
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 (2023)
Ziran Xiong, Charles X. Ling, Bin Gu
Kernel Error Path Algorithm. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
William Wei Wang, Gezheng Xu, Ruizhi Pu, Jiaqi Li, Fan Zhou, Changjian Shui, Charles X. Ling, Christian Gagné, Boyu Wang
Evolving Domain Generalization. CoRR (2022)
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)
Charles X. Ling, Tanner A. Bohn
A Deep Learning Framework for Lifelong Machine Learning. CoRR (2021)
Bin Gu, Charles X. Ling
Generalized error path algorithm. Pattern Recognit. 120 (2021)
Changjian Shui, Zijian Li, Jiaqi Li, Christian Gagné, Charles X. Ling, Boyu Wang
Aggregating From Multiple Target-Shifted Sources. CoRR (2021)
Changjian Shui, Zijian Li, Jiaqi Li, Christian Gagné, Charles X. Ling, Boyu Wang
Aggregating From Multiple Target-Shifted Sources. ICML (2021)
Tanner A. Bohn, Charles X. Ling
Hone as You Read: A Practical Type of Interactive Summarization. CoRR (2021)
Tanner A. Bohn, Charles X. Ling
Catching Attention with Automatic Pull Quote Selection. CoRR (2020)
Chuanming Wang, Huiyuan Fu, Charles X. Ling, Peilun Du, Huadong Ma
Region-Based Global Reasoning Networks. AAAI (2020)
Tanner A. Bohn, Charles X. Ling
Catching Attention with Automatic Pull Quote Selection. COLING (2020)
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 (2020)
Tanner A. Bohn, Xinyu Yun, Charles X. Ling
Towards a Unified Lifelong Learning Framework. Preregister@NeurIPS (2020)
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) (2020)
Xinyu Yun, Tanner A. Bohn, Charles X. Ling
A Deeper Look at Bongard Problems. Canadian Conference on AI (2020)
Tanner A. Bohn, Yining Hu, Charles X. Ling
Few-Shot Abstract Visual Reasoning With Spectral Features. CoRR (2019)
Tanner A. Bohn, Yining Hu, Jinhang Zhang, Charles X. Ling
Learning Sentence Embeddings for Coherence Modelling and Beyond. RANLP (2019)
Charles X. Ling, Tanner A. Bohn
A Unified Framework for Lifelong Learning in Deep Neural Networks. CoRR (2019)
Tanner A. Bohn, Charles X. Ling
Neural Sentence Location Prediction for Summarization. CoRR (2018)
Robert J. Wang, Xiang Li, Shuang Ao, Charles X. Ling
Pelee: A Real-Time Object Detection System on Mobile Devices. ICLR (Workshop) (2018)
Robert J. Wang, Xiang Li, Shuang Ao, Charles X. Ling
Pelee: A Real-Time Object Detection System on Mobile Devices. CoRR (2018)
Xiang Li, Huaimin Wang, Bin Gu, Charles X. Ling
The convergence of linear classifiers on large sparse data. Neurocomputing 273 (2018)
Jun Wang, Tanner A. Bohn, Charles X. Ling
Pelee: A Real-Time Object Detection System on Mobile Devices. NeurIPS (2018)
Nima Mirbakhsh, Charles X. Ling
Leveraging clustering to improve collaborative filtering. Inf. Syst. Frontiers 20 (1) (2018)
Shuang Ao, Xiang Li, Charles X. Ling
Fast Generalized Distillation for Semi-Supervised Domain Adaptation. AAAI (2017)
Shuang Ao, Xiang Li, Charles X. Ling
Effective Multiclass Transfer for Hypothesis Transfer Learning. PAKDD (2) (2017)
Xiang Li, Bin Gu, Shuang Ao, Huaimin Wang, Charles X. Ling
Triply Stochastic Gradients on Multiple Kernel Learning. UAI (2017)
Xiang Li, Charles X. Ling, Huaimin Wang
The Convergence Behavior of Naive Bayes on Large Sparse Datasets. ACM Trans. Knowl. Discov. Data 11 (1) (2016)
Nima Mirbakhsh, Charles X. Ling
Improving Top-N Recommendation for Cold-Start Users via Cross-Domain Information. ACM Trans. Knowl. Discov. Data 9 (4) (2015)
Xiang Li, Charles X. Ling, Huaimin Wang
The Convergence Behavior of Naive Bayes on Large Sparse Datasets. ICDM (2015)
Shuang Ao, Charles X. Ling
Adapting New Categories for Food Recognition with Deep Representation. ICDM Workshops (2015)
Bin Gu, Charles X. Ling
A New Generalized Error Path Algorithm for Model Selection. ICML (2015)
Xiang Li, Huaimin Wang, Bin Gu, Charles X. Ling
Data Sparseness in Linear SVM. IJCAI (2015)
Tao Wang, Huaimin Wang, Gang Yin, Charles X. Ling, Xiao Li, Peng Zou
Tag recommendation for open source software. Frontiers Comput. Sci. 8 (1) (2014)
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) (2014)
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)
Yan Luo, Charles X. Ling, Shuang Ao
Mobile-based food classification for Type-2 Diabetes using nutrient and textual features. DSAA (2014)
Yue Yu, Huaimin Wang, Gang Yin, Charles X. Ling
Who Should Review this Pull-Request: Reviewer Recommendation to Expedite Crowd Collaboration. APSEC (1) (2014)
Yue Yu, Huaimin Wang, Gang Yin, Charles X. Ling
Reviewer Recommender of Pull-Requests in GitHub. ICSME (2014)
Nima Mirbakhsh, Charles X. Ling
Clustering-based factorized collaborative filtering. RecSys (2013)
Eileen A. Ni, Da Kuang, Charles X. Ling
Decisive Supervised Learning. PAKDD (1) (2013)
Tao Wang, Huaimin Wang, Gang Yin, Charles X. Ling, Xiang Li, Peng Zou
Mining Software Profile across Multiple Repositories for Hierarchical Categorization. ICSM (2013)
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) (2013)
Linzi Yin, Weihua Gui, Chunhua Yang, Xiaoli Wang, Charles X. Ling
Core set analysis in inconsistent decision tables. Inf. Sci. 241 (2013)
Xiao Li, Charles X. Ling, Huaimin Wang
Effective Top-Down Active Learning for Hierarchical Text Classification. PAKDD (2) (2013)
Da Kuang, Charles X. Ling, Jun Du
Foundation of Mining Class-Imbalanced Data. PAKDD (1) (2012)
Eileen A. Ni, Charles X. Ling
Active Learning with c-Certainty. PAKDD (1) (2012)
Huadong Ma, Chengbin Zeng, Charles X. Ling
A Reliable People Counting System via Multiple Cameras. ACM Trans. Intell. Syst. Technol. 3 (2) (2012)
Xiao Li, Da Kuang, Charles X. Ling
Active Learning for Hierarchical Text Classification. PAKDD (1) (2012)
Eileen A. Ni, Charles X. Ling
Learning with Guaranteed Label Quality. ICMLA (1) (2011)
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)
Jun Du, Charles X. Ling
Asking Generalized Queries with Minimum Cost. PAKDD (2) (2011)
Eileen A. Ni, Charles X. Ling
Direct Marketing with Fewer Mistakes. ADMA (1) (2011)
Jun Du, Charles X. Ling
Active Teaching for Inductive Learners. SDM (2011)
Zhihua Cai, Wenyin Gong, Charles X. Ling, Harry Zhang
A clustering-based differential evolution for global optimization. Appl. Soft Comput. 11 (1) (2011)
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) (2011)
Charles X. Ling
Introduction to special issue on machine learning for business applications. ACM Trans. Intell. Syst. Technol. 2 (3) (2011)
Jun Du, Charles X. Ling, Zhi-Hua Zhou
When Does Cotraining Work in Real Data? IEEE Trans. Knowl. Data Eng. 23 (5) (2011)
Da Kuang, Xiao Li, Charles X. Ling
A New Search Engine Integrating Hierarchical Browsing and Keyword Search. IJCAI (2011)
Jun Du, Charles X. Ling
Active Learning with Human-Like Noisy Oracle. ICDM (2010)
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) (2010)
Wenyin Gong, Zhihua Cai, Charles X. Ling, Hui Li
A real-coded biogeography-based optimization with mutation. Appl. Math. Comput. 216 (9) (2010)
Eileen A. Ni, Charles X. Ling
Supervised Learning with Minimal Effort. PAKDD (2) (2010)
Jun Du, Charles X. Ling
Asking Generalized Queries to Domain Experts to Improve Learning. IEEE Trans. Knowl. Data Eng. 22 (6) (2010)
Jun Du, Charles X. Ling
Asking Generalized Queries to Ambiguous Oracle. ECML/PKDD (1) (2010)
Jun Du, Eileen A. Ni, Charles X. Ling
Adapting cost-sensitive learning for reject option. CIKM (2010)
Jun Du, Charles X. Ling
Active Learning with Generalized Queries. ICDM (2009)
Wenyin Gong, Zhihua Cai, Charles X. Ling, Jun Du
Hybrid differential evolution based on fuzzy C-means clustering. GECCO (2009)
Charles X. Ling, Jun Du, Zhi-Hua Zhou
When does Co-training Work in Real Data?. PAKDD (2009)
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) (2009)
Jun Du, Charles X. Ling
Co-Training on Handwritten Digit Recognition. Canadian Conference on AI (2009)
Wenyin Gong, Zhihua Cai, Charles X. Ling, Bo Huang
A Point Symmetry-Based Automatic Clustering Approach Using Differential Evolution. ISICA (2009)
Jin Huang, Charles X. Ling, Harry Zhang, Stan Matwin
Proper Model Selection with Significance Test. ECML/PKDD (1) (2008)
Bin Wang, Bruce Spencer, Charles X. Ling, Harry Zhang
Semi-supervised Self-training for Sentence Subjectivity Classification. Canadian Conference on AI (2008)
Charles X. Ling, Jun Du
Active learning with direct query construction. KDD (2008)
Jiang Su, Harry Zhang, Charles X. Ling, Stan Matwin
Discriminative parameter learning for Bayesian networks. ICML (2008)
Victor S. Sheng, Charles X. Ling
Partial example acquisition in cost-sensitive learning. KDD (2007)
Robert J. Yan, Charles X. Ling
Machine learning for stock selection. KDD (2007)
Qiang Yang, Jie Yin, Charles X. Ling, Rong Pan
Extracting Actionable Knowledge from Decision Trees. IEEE Trans. Knowl. Data Eng. 19 (1) (2007)
Jin Huang, Charles X. Ling
Constructing New and Better Evaluation Measures for Machine Learning. IJCAI (2007)
Victor S. Sheng, Charles X. Ling
Roulette Sampling for Cost-Sensitive Learning. ECML (2007)
Jinhua Zheng, Guixia Xiao, Wu Song, Xuyong Li, Charles X. Ling
A Multi-Objective Genetic Algorithm Based on Density. ISICA (2007)
Yiqiu Han, Wai Lam, Charles X. Ling
Customized classification learning based on query projections. Inf. Sci. 177 (17) (2007)
Jun Du, Zhihua Cai, Charles X. Ling
Cost-Sensitive Decision Trees with Pre-pruning. Canadian Conference on AI (2007)
Wenyin Gong, Zhihua Cai, Charles X. Ling
ODE: A Fast and Robust Differential Evolution Based on Orthogonal Design. Australian Conference on Artificial Intelligence (2006)
Shengli Sheng, Charles X. Ling, Ailing Ni, Shichao Zhang
Cost-Sensitive Test Strategies. AAAI (2006)
Charles X. Ling, Victor S. Sheng, Tilmann F. W. Bruckhaus, Nazim H. Madhavji
Maximum profit mining and its application in software development. KDD (2006)
Jin Huang, Charles X. Ling
Constructing Ensembles for Better Ranking. ICDM (2006)
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) (2006)
Victor S. Sheng, Charles X. Ling
Feature value acquisition in testing: a sequential batch test algorithm. ICML (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Charles X. Ling