| 2024 | AAAI | Generalizing across Temporal Domains with Koopman Operators. | Qiuhao Zeng, Wei Wang, Fan Zhou, Gezheng Xu, Ruizhi Pu, Changjian Shui, Christian Gagn, Shichun Yang, Charles X. Ling, Boyu Wang |
| 2024 | IJCAI | Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations. | Nima Hosseini Dashtbayaz, Ghazal Farhani, Boyu Wang, Charles X. Ling |
| 2021 | ICML | Aggregating From Multiple Target-Shifted Sources. | Changjian Shui, Zijian Li, Jiaqi Li, Christian Gagn, Charles X. Ling, Boyu Wang |
| 2020 | AAAI | Region-Based Global Reasoning Networks. | Chuanming Wang, Huiyuan Fu, Charles X. Ling, Peilun Du, Huadong Ma |
| 2020 | AI | A Deeper Look at Bongard Problems. | Xinyu Yun, Tanner A. Bohn, Charles X. Ling |
| 2020 | COLING | Catching Attention with Automatic Pull Quote Selection. | Tanner A. Bohn, Charles X. Ling |
| 2019 | RANLP | Learning Sentence Embeddings for Coherence Modelling and Beyond. | Tanner A. Bohn, Yining Hu, Jinhang Zhang, Charles X. Ling |
| 2018 | ICLR | Pelee: A Real-Time Object Detection System on Mobile Devices. | Robert J. Wang, Xiang Li, Shuang Ao, Charles X. Ling |
| 2017 | AAAI | Fast Generalized Distillation for Semi-Supervised Domain Adaptation. | Shuang Ao, Xiang Li, Charles X. Ling |
| 2017 | PAKDD | Effective Multiclass Transfer for Hypothesis Transfer Learning. | Shuang Ao, Xiang Li, Charles X. Ling |
| 2017 | UAI | Triply Stochastic Gradients on Multiple Kernel Learning. | Xiang Li, Bin Gu, Shuang Ao, Huaimin Wang, Charles X. Ling |
| 2015 | ICDM | Adapting New Categories for Food Recognition with Deep Representation. | Shuang Ao, Charles X. Ling |
| 2015 | ICDM | The Convergence Behavior of Naive Bayes on Large Sparse Datasets. | Xiang Li, Charles X. Ling, Huaimin Wang |
| 2015 | ICML | A New Generalized Error Path Algorithm for Model Selection. | Bin Gu, Charles X. Ling |
| 2015 | IJCAI | Data Sparseness in Linear SVM. | Xiang Li, Huaimin Wang, Bin Gu, Charles X. Ling |
| 2014 | APSEC | Who Should Review this Pull-Request: Reviewer Recommendation to Expedite Crowd Collaboration. | Yue Yu, Huaimin Wang, Gang Yin, Charles X. Ling |
| 2014 | DSAA | Mobile-based food classification for Type-2 Diabetes using nutrient and textual features. | Yan Luo, Charles X. Ling, Shuang Ao |
| 2014 | ICDM | GlucoGuide: An Intelligent Type-2 Diabetes Solution Using Data Mining and Mobile Computing. | Yan Luo, Charles X. Ling, Jody Schuurman, Robert J. Petrella |
| 2013 | PAKDD | Effective Top-Down Active Learning for Hierarchical Text Classification. | Xiao Li, Charles X. Ling, Huaimin Wang |
| 2013 | PAKDD | Decisive Supervised Learning. | Eileen A. Ni, Da Kuang, Charles X. Ling |
| 2013 | RecSys | Clustering-based factorized collaborative filtering. | Nima Mirbakhsh, Charles X. Ling |
| 2012 | PAKDD | Foundation of Mining Class-Imbalanced Data. | Da Kuang, Charles X. Ling, Jun Du |
| 2012 | PAKDD | Active Learning for Hierarchical Text Classification. | Xiao Li, Da Kuang, Charles X. Ling |
| 2012 | PAKDD | Active Learning with c-Certainty. | Eileen A. Ni, Charles X. Ling |
| 2011 | ADMA | Direct Marketing with Fewer Mistakes. | Eileen A. Ni, Charles X. Ling |
| 2011 | ICMLA | Learning with Guaranteed Label Quality. | Eileen A. Ni, Charles X. Ling |
| 2011 | IJCAI | A New Search Engine Integrating Hierarchical Browsing and Keyword Search. | Da Kuang, Xiao Li, Charles X. Ling |
| 2011 | PAKDD | Asking Generalized Queries with Minimum Cost. | Jun Du, Charles X. Ling |
| 2011 | SDM | Active Teaching for Inductive Learners. | Jun Du, Charles X. Ling |
| 2010 | CIKM | Adapting cost-sensitive learning for reject option. | Jun Du, Eileen A. Ni, Charles X. Ling |
| 2010 | ICDM | Active Learning with Human-Like Noisy Oracle. | Jun Du, Charles X. Ling |
| 2010 | PAKDD | Supervised Learning with Minimal Effort. | Eileen A. Ni, Charles X. Ling |
| 2009 | AI | Co-Training on Handwritten Digit Recognition. | Jun Du, Charles X. Ling |
| 2009 | GECCO | Hybrid differential evolution based on fuzzy C-means clustering. | Wenyin Gong, Zhihua Cai, Charles X. Ling, Jun Du |
| 2009 | ICDM | Active Learning with Generalized Queries. | Jun Du, Charles X. Ling |
| 2009 | PAKDD | When does Co-training Work in Real Data?. | Charles X. Ling, Jun Du, Zhi-Hua Zhou |
| 2008 | AI | Semi-supervised Self-training for Sentence Subjectivity Classification. | Bin Wang, Bruce Spencer, Charles X. Ling, Harry Zhang |
| 2008 | ICML | Discriminative parameter learning for Bayesian networks. | Jiang Su, Harry Zhang, Charles X. Ling, Stan Matwin |
| 2008 | KDD | Active learning with direct query construction. | Charles X. Ling, Jun Du |
| 2007 | AI | Cost-Sensitive Decision Trees with Pre-pruning. | Jun Du, Zhihua Cai, Charles X. Ling |
| 2007 | IJCAI | Constructing New and Better Evaluation Measures for Machine Learning. | Jin Huang, Charles X. Ling |
| 2007 | KDD | Partial example acquisition in cost-sensitive learning. | Victor S. Sheng, Charles X. Ling |
| 2007 | KDD | Machine learning for stock selection. | Robert J. Yan, Charles X. Ling |
| 2006 | AAAI | Cost-Sensitive Test Strategies. | Shengli Sheng, Charles X. Ling, Ailing Ni, Shichao Zhang |
| 2006 | AAAI | Thresholding for Making Classifiers Cost-sensitive. | Victor S. Sheng, Charles X. Ling |
| 2006 | ICDM | Constructing Ensembles for Better Ranking. | Jin Huang, Charles X. Ling |
| 2006 | ICDM | Keyphrase Extraction Using Semantic Networks Structure Analysis. | Chong Huang, Yonghong Tian, Zhi Zhou, Charles X. Ling, Tiejun Huang |
| 2006 | ICML | Feature value acquisition in testing: a sequential batch test algorithm. | Victor S. Sheng, Charles X. Ling |
| 2006 | KDD | Maximum profit mining and its application in software development. | Charles X. Ling, Victor S. Sheng, Tilmann F. W. Bruckhaus, Nazim H. Madhavji |
| 2005 | ICDM | Partial Ensemble Classifiers Selection for Better Ranking. | Jin Huang, Charles X. Ling |
| 2005 | ICDM | Predicting Software Escalations with Maximum ROI. | Charles X. Ling, Shengli Sheng, Tilmann F. W. Bruckhaus, Nazim H. Madhavji |
| 2004 | AI | Artificial Aging of Faces by Support Vector Machines. | Jianning Wang, Charles X. Ling |
| 2004 | AI | A Multi-objective Genetic Algorithm Based on Quick Sort. | Jinhua Zheng, Charles X. Ling, Zhongzhi Shi, Juan Xue, Xuyong Li |
| 2004 | CEC | Some discussions about MOGAs: individual relations, non-dominated set, and application on automatic negotiation. | Jinhua Zheng, Charles X. Ling, Zhongzhi Shi, Yong Xie |
| 2004 | ICDM | Test-Cost Sensitive Naive Bayes Classification. | Xiaoyong Chai, Lin Deng, Qiang Yang, Charles X. Ling |
| 2004 | ICML | Decision trees with minimal costs. | Charles X. Ling, Qiang Yang, Jianning Wang, Shichao Zhang |
| 2004 | PRICAI | A Kernel-Based Case Retrieval Algorithm with Application to Bioinformatics. | Yan Fu, Qiang Yang, Charles X. Ling, Haipeng Wang, Dequan Li, Ruixiang Sun, Hu Zhou, Rong Zeng, Yiqiang Chen, Simin He, Wen Gao |
| 2003 | AI | AUC: A Better Measure than Accuracy in Comparing Learning Algorithms. | Charles X. Ling, Jin Huang, Harry Zhang |
| 2003 | AI | A Fundamental Issue of Naive Bayes. | Harry Zhang, Charles X. Ling |
| 2003 | ICDM | Comparing Naive Bayes, Decision Trees, and SVM with AUC and Accuracy. | Jin Huang, Jingjing Lu, Charles X. Ling |
| 2003 | ICDM | Postprocessing Decision Trees to Extract Actionable Knowledge. | Qiang Yang, Jie Yin, Charles X. Ling, Tielin Chen |
| 2003 | ICML | Decision Tree with Better Ranking. | Charles X. Ling, Robert J. Yan |
| 2003 | IJCAI | AUC: a Statistically Consistent and more Discriminating Measure than Accuracy. | Charles X. Ling, Jin Huang, Harry Zhang |
| 2003 | ISMIS | Intelligent Protein 3D Structure Retrieval System. | Yiqiang Chen, Wen Gao, Lijuan Duan, Xiang Chen, Charles X. Ling |
| 2002 | ICDM | Mining Optimal Actions for Profitable CRM. | Charles X. Ling, Tielin Chen, Qiang Yang, Jie Cheng |
| 2002 | ICML | Representational Upper Bounds of Bayesian Networks. | Huajie Zhang, Charles X. Ling |
| 2002 | PAKDD | Toward Bayesian Classifiers with Accurate Probabilities. | Charles X. Ling, Huajie Zhang |
| 2001 | ICML | Learnability of Augmented Naive Bayes in Nonimal Domains. | Huajie Zhang, Charles X. Ling |
| 2001 | PAKDD | An Improved Learning Algorithm for Augmented Naive Bayes. | Huajie Zhang, Charles X. Ling |
| 2000 | AI | The Learnability of Naive Bayes. | Huajie Zhang, Charles X. Ling, Zhiduo Zhao |
| 1998 | AI | Grapheme Generation in Learning to Read English Words. | Charles X. Ling, Bei Zhang |
| 1998 | KDD | Data Mining for Direct Marketing: Problems and Solutions. | Charles X. Ling, Chenghui Li |
| 1997 | IJCAI | Alignment Algorithms for Learning to Read Aloud. | Charles X. Ling, Handong Wang |
| 1996 | AI | Learning Classifications from Multiple Sources of Unsupervised Data. | Charles X. Ling, Handong Wang |
| 1994 | ICML | Learning Recursive Relations with Randomly Selected Small Training Sets. | David W. Aha, Stephane Lapointe, Charles X. Ling, Stan Matwin |
| 1993 | IJCAI | Constructive Inductive Logic Programming. | Stephane Lapointe, Charles X. Ling, Stan Matwin |
| 1993 | IJCAI | A Symbolic Model for Learning the Past-Tenses of English Verbs. | Charles X. Ling, Steven Cherwenka, Marin Marinov |
| 1991 | IJCAI | Inductive Learning from Good Examples. | Charles X. Ling |