Boosting Lazy Decision Trees. - Xiaoli Zhang Fern; Carla E. Brodley (ICML, 2003)

Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach. - Xiaoli Zhang Fern; Carla E. Brodley (ICML, 2003)

Solving cluster ensemble problems by bipartite graph partitioning. - Xiaoli Zhang Fern; Carla E. Brodley (ICML, 2004)

Correlation Clustering for Learning Mixtures of Canonical Correlation Models. - Xiaoli Zhang Fern; Carla E. Brodley; Mark A. Friedl (SDM, 2005)

Gender Differences in End-User Debugging, Revisited: What the Miners Found. - Valentina Grigoreanu; Laura Beckwith; Xiaoli Z. Fern; Sherry Yang 002; Chaitanya Komireddy; Vaishnavi Narayanan; Curtis R. Cook; Margaret M. Burnett (VL/HCC, 2006)

Non-redundant Multi-view Clustering via Orthogonalization. - Ying Cui; Xiaoli Z. Fern; Jennifer G. Dy (ICDM, 2007)

Mining Interpretable Human Strategies: A Case Study. - Xiaoli Z. Fern; Chaitanya Komireddy; Margaret M. Burnett (ICDM, 2007)

Testing vs. code inspection vs. what else?: male and female end users' debugging strategies. - Neeraja Subrahmaniyan; Laura Beckwith; Valentina Grigoreanu; Margaret M. Burnett; Susan Wiedenbeck; Vaishnavi Narayanan; Karin Bucht; Russell Drummond; Xiaoli Z. Fern (CHI, 2008)

Cluster Ensemble Selection. - Xiaoli Z. Fern; Wei Lin 011 (Stat. Anal. Data Min., 2008)

Audio Classification of Bird Species: A Statistical Manifold Approach. - Forrest Briggs; Raviv Raich; Xiaoli Z. Fern (ICDM, 2009)

Learning non-redundant codebooks for classifying complex objects. - Wei Zhang 014; Akshat Surve; Xiaoli Z. Fern; Thomas G. Dietterich (ICML, 2009)

A Syllable-Level Probabilistic Framework for Bird Species Identification. - Balaji Lakshminarayanan; Raviv Raich; Xiaoli Z. Fern (ICMLA, 2009)

Adaptive Cluster Ensemble Selection. - Javad Azimi; Xiaoli Z. Fern (IJCAI, 2009)

Clustering Ensembles Using Ants Algorithm. - Javad Azimi; Paul Cull; Xiaoli Z. Fern (IWINAC (1), 2009)

Myopic Policies for Budgeted Optimization with Constrained Experiments. - Javad Azimi; Xiaoli Z. Fern; Alan Fern; Elizabeth Burrows; Frank Chaplen; Yanzhen Fan; Hong Liu; Jun Jaio; Rebecca Schaller (AAAI, 2010)

Batch Bayesian Optimization via Simulation Matching. - Javad Azimi; Alan Fern; Xiaoli Z. Fern (NIPS, 2010)

MultiClust 2010: discovering, summarizing and using multiple clusterings. - Xiaoli Z. Fern; Ian Davidson; Jennifer G. Dy (SIGKDD Explor., 2010)

Learning multiple nonredundant clusterings. - Ying Cui; Xiaoli Z. Fern; Jennifer G. Dy (ACM Trans. Knowl. Discov. Data, 2010)

Mining problem-solving strategies from HCI data. - Xiaoli Z. Fern; Chaitanya Komireddy; Valentina Grigoreanu; Margaret M. Burnett (ACM Trans. Comput. Hum. Interact., 2010)

Time-frequency segmentation of bird song in noisy acoustic environments. - Lawrence Neal; Forrest Briggs; Raviv Raich; Xiaoli Z. Fern (ICASSP, 2011)

Budgeted Optimization with Concurrent Stochastic-Duration Experiments. - Javad Azimi; Alan Fern; Xiaoli Z. Fern (NIPS, 2011)

Inverting Grice's Maxims to Learn Rules from Natural Language Extractions. - Shahed Sorower; Thomas G. Dietterich; Janardhan Rao Doppa; John Walker Orr; Prasad Tadepalli; Xiaoli Z. Fern (NIPS, 2011)

Dynamic Batch Bayesian Optimization - Javad Azimi; Ali Jalali; Xiaoli Z. Fern (CoRR, 2011)

Learning Rules from Incomplete Examples via Implicit Mention Models. - Janardhan Rao Doppa; Shahed Sorower; Mohammad NasrEsfahani; John Walker Orr; Thomas G. Dietterich; Xiaoli Z. Fern; Prasad Tadepalli; Jed Irvine (ACML, 2011)

Visual appearance of display ads and its effect on click through rate. - Javad Azimi; Ruofei Zhang; Yang Zhou 033; Vidhya Navalpakkam; Jianchang Mao; Xiaoli Z. Fern (CIKM, 2012)

Batch Active Learning via Coordinated Matching. - Javad Azimi; Alan Fern; Xiaoli Zhang Fern; Glencora Borradaile; Brent Heeringa (ICML, 2012)

Hybrid Batch Bayesian Optimization. - Javad Azimi; Ali Jalali; Xiaoli Zhang Fern (ICML, 2012)

Rank-loss support instance machines for MIML instance annotation. - Forrest Briggs; Xiaoli Z. Fern; Raviv Raich (KDD, 2012)

Constructing Training Sets for Outlier Detection. - Li-Ping Liu 001; Xiaoli Z. Fern (SDM, 2012)

Regularized joint density estimation for multi-instance learning. - Behrouz Behmardi; Forrest Briggs; Xiaoli Z. Fern; Raviv Raich (SSP, 2012)

The impact of visual appearance on user response in online display advertising. - Javad Azimi; Ruofei Zhang; Yang Zhou 033; Vidhya Navalpakkam; Jianchang Mao; Xiaoli Z. Fern (WWW (Companion Volume), 2012)

Exploration vs Exploitation in Bayesian Optimization - Ali Jalali; Javad Azimi; Xiaoli Z. Fern (CoRR, 2012)

Context-Aware MIML Instance Annotation. - Forrest Briggs; Xiaoli Z. Fern; Raviv Raich (ICDM, 2013)

The 9th annual MLSP competition: New methods for acoustic classification of multiple simultaneous bird species in a noisy environment. - Forrest Briggs; Yonghong Huang; Raviv Raich; Konstantinos Eftaxias; Zhong Lei; William Cukierski; Sarah Frey Hadley; Adam Hadley; Matthew Betts; Xiaoli Z. Fern; Jed Irvine; Lawrence Neal; et al. (MLSP, 2013)

Novelty detection under multi-label multi-instance framework. - Qi Lou; Raviv Raich; Forrest Briggs; Xiaoli Z. Fern (MLSP, 2013)

A Lipschitz Exploration-Exploitation Scheme for Bayesian Optimization. - Ali Jalali; Javad Azimi; Xiaoli Z. Fern; Ruofei Zhang (ECML/PKDD (1), 2013)

Taming compiler fuzzers. - Yang Chen 024; Alex Groce; Chaoqiang Zhang; Weng-Keen Wong; Xiaoli Z. Fern; Eric Eide; John Regehr (PLDI, 2013)

Novelty Detection Under Multi-Instance Multi-Label Framework. - Qi Lou; Raviv Raich; Forrest Briggs; Xiaoli Z. Fern (CoRR, 2013)

Multi-Label Classifier Chains for Bird Sound - Forrest Briggs; Xiaoli Z. Fern; Jed Irvine (CoRR, 2013)

Instance Annotation for Multi-Instance Multi-Label Learning. - Forrest Briggs; Xiaoli Z. Fern; Raviv Raich; Qi Lou (ACM Trans. Knowl. Discov. Data, 2013)

Learning Scripts as Hidden Markov Models. - John Walker Orr; Prasad Tadepalli; Janardhan Rao Doppa; Xiaoli Z. Fern; Thomas G. Dietterich (AAAI, 2014)

Prune-and-Score: Learning for Greedy Coreference Resolution. - Chao Ma 001; Janardhan Rao Doppa; John Walker Orr; Prashanth Mannem; Xiaoli Z. Fern; Thomas G. Dietterich; Prasad Tadepalli (EMNLP, 2014)

Taming a Fuzzer Using Delta Debugging Trails. - Yuanli Pei; Arpit Christi; Xiaoli Z. Fern; Alex Groce; Weng-Keen Wong (ICDM Workshops, 2014)

Efficient instance annotation in multi-instance learning. - Anh T. Pham 002; Raviv Raich; Xiaoli Z. Fern (SSP, 2014)

Dynamic Programming for Instance Annotation in Multi-instance Multi-label Learning. - Anh T. Pham 002; Raviv Raich; Xiaoli Z. Fern (CoRR, 2014)

Active Metric Learning from Relative Comparisons. - Sicheng Xiong; Rómer Rosales; Yuanli Pei; Xiaoli Z. Fern (CoRR, 2014)

Constrained instance clustering in multi-instance multi-label learning. - Yuanli Pei; Xiaoli Z. Fern (Pattern Recognit. Lett., 2014)

Active Learning of Constraints for Semi-Supervised Clustering. - Sicheng Xiong; Javad Azimi; Xiaoli Z. Fern (IEEE Trans. Knowl. Data Eng., 2014)

Learning Greedy Policies for the Easy-First Framework. - Jun Xie; Chao Ma 001; Janardhan Rao Doppa; Prashanth Mannem; Xiaoli Z. Fern; Thomas G. Dietterich; Prasad Tadepalli (AAAI, 2015)

Toward Embedding Bayesian Optimization in the Lab: Reasoning about Resource and Actions. - Nima Dolatnia; Alan Fern; Xiaoli Z. Fern (AAAI Fall Symposia, 2015)

Supervised hierarchical segmentation for bird song recording. - Teresa Vania Tjahja; Xiaoli Z. Fern; Raviv Raich; Anh T. Pham 002 (ICASSP, 2015)

Multi-instance multi-label learning in the presence of novel class instances. - Anh T. Pham 002; Raviv Raich; Xiaoli Z. Fern; Jesús Pérez Arriaga (ICML, 2015)

Simultaneous instance annotation and clustering in multi-instance multi-label learning. - Anh T. Pham 002; Raviv Raich; Xiaoli Z. Fern (MLSP, 2015)

Dictionary extraction from a collection of spectrograms for bioacoustics monitoring. - José Francisco Ruiz-Muñoz; Zeyu You; Raviv Raich; Xiaoli Z. Fern (MLSP, 2015)

Bayesian Active Clustering with Pairwise Constraints. - Yuanli Pei; Li-Ping Liu 001; Xiaoli Z. Fern (ECML/PKDD (1), 2015)

Discriminative Clustering with Relative Constraints. - Yuanli Pei; Xiaoli Z. Fern; Rómer Rosales; Teresa Vania Tjahja (CoRR, 2015)

Context-aware MIML instance annotation: exploiting label correlations with classifier chains. - Forrest Briggs; Xiaoli Z. Fern; Raviv Raich (Knowl. Inf. Syst., 2015)

Active Learning from Relative Comparisons. - Sicheng Xiong; Yuanli Pei; Rómer Rosales; Xiaoli Z. Fern (IEEE Trans. Knowl. Data Eng., 2015)

Multi-Instance Multi-Label Class Discovery: A Computational Approach for Assessing Bird Biodiversity. - Forrest Briggs; Xiaoli Z. Fern; Raviv Raich; Matthew Betts (AAAI, 2016)

Event Nugget Detection with Forward-Backward Recurrent Neural Networks. - Reza Ghaeini; Xiaoli Z. Fern; Liang Huang 001; Prasad Tadepalli (ACL (2), 2016)

Bayesian Optimization with Resource Constraints and Production. - Nima Dolatnia; Alan Fern; Xiaoli Z. Fern (ICAPS, 2016)

Semi-supervised learning in the presence of novel class instances. - Anh T. Pham 002; Raviv Raich; Xiaoli Z. Fern (ICASSP, 2016)

Label Embedding Approach for Transfer Learning. - Rasha Obeidat; Xiaoli Z. Fern; Prasad Tadepalli (ICBO/BioCreative, 2016)

Weakly-supervised analysis dictionary learning with cardinality constraints. - Zeyu You; Raviv Raich; Xiaoli Z. Fern; Jinsub Kim (SSP, 2016)

Cross Lingual Mention and Entity Embeddings for Cross-Lingual Entity Disambiguation. - Hamed Shahbazi; Chao Ma 001; Xiaoli Z. Fern; Prasad Tadepalli (TAC, 2016)

Confidence-Constrained Maximum Entropy Framework for Learning from Multi-Instance Data. - Behrouz Behmardi; Forrest Briggs; Xiaoli Z. Fern; Raviv Raich (CoRR, 2016)

Budgeted Optimization with Constrained Experiments. - Javad Azimi; Xiaoli Z. Fern; Alan Fern (J. Artif. Intell. Res., 2016)

Comparing Clustering with Pairwise and Relative Constraints: A Unified Framework. - Yuanli Pei; Xiaoli Z. Fern; Teresa Vania Tjahja; Rómer Rosales (ACM Trans. Knowl. Discov. Data, 2016)

Multi-Task Structured Prediction for Entity Analysis: Search-Based Learning Algorithms. - Chao Ma 001; Janardhan Rao Doppa; Prasad Tadepalli; Hamed Shahbazi; Xiaoli Z. Fern (ACML, 2017)

Simultaneous segmentation and classification of bird song using CNN. - Revathy Narasimhan; Xiaoli Z. Fern; Raviv Raich (ICASSP, 2017)

Online learning of time-frequency patterns. - José Francisco Ruiz-Muñoz; Raviv Raich; Mauricio Orozco-Alzate; Xiaoli Z. Fern (ICASSP, 2017)

Discriminative recurring signal detection and localization. - Zeyu You; Raviv Raich; Xiaoli Z. Fern; Jinsub Kim (ICASSP, 2017)

Filter shaping for Convolutional Neural Networks. - Xingyi Li; Fuxin Li; Xiaoli Z. Fern; Raviv Raich (ICLR (Poster), 2017)

MIML-AI: Mixed-supervision multi-instance multi-label learning with auxiliary information. - Tarn Nguyen; Raviv Raich; Xiaoli Z. Fern; Anh T. Pham 002 (MLSP, 2017)

Dynamic Programming for Instance Annotation in Multi-Instance Multi-Label Learning. - Anh T. Pham 001; Raviv Raich; Xiaoli Z. Fern (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Dependent Gated Reading for Cloze-Style Question Answering. - Reza Ghaeini; Xiaoli Z. Fern; Hamed Shahbazi; Prasad Tadepalli (COLING, 2018)

Joint Neural Entity Disambiguation with Output Space Search. - Hamed Shahbazi; Xiaoli Z. Fern; Reza Ghaeini; Chao Ma 001; Rasha Mohammad Obeidat; Prasad Tadepalli (COLING, 2018)

Open Set Learning with Counterfactual Images. - Lawrence Neal; Matthew L. Olson; Xiaoli Z. Fern; Weng-Keen Wong; Fuxin Li (ECCV (6), 2018)

Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference. - Reza Ghaeini; Xiaoli Z. Fern; Prasad Tadepalli (EMNLP, 2018)

Event Detection with Neural Networks: A Rigorous Empirical Evaluation. - John Walker Orr; Prasad Tadepalli; Xiaoli Z. Fern (EMNLP, 2018)

Discriminative Clustering with Cardinality Constraints. - Anh T. Pham 002; Raviv Raich; Xiaoli Z. Fern (ICASSP, 2018)

Discriminative Probabilistic Framework for Generalized Multi-Instance Learning. - Anh T. Pham 002; Raviv Raich; Xiaoli Z. Fern; Weng-Keen Wong; Xinze Guan (ICASSP, 2018)

Learning with Latent Label Hierarchy from Incomplete Multi-Label Data. - Yuanli Pei; Xiaoli Z. Fern; Raviv Raich (ICPR, 2018)

DR-BiLSTM: Dependent Reading Bidirectional LSTM for Natural Language Inference. - Reza Ghaeini; Sadid A. Hasan; Vivek V. Datla; Joey Liu; Kathy Lee; Ashequl Qadir; Yuan Ling; Aaditya Prakash; Xiaoli Z. Fern; Oladimeji Farri (NAACL-HLT, 2018)

Weakly Supervised Learning of Multiple-Scale Dictionaries. - Zeyu You; Raviv Raich; Xiaoli Z. Fern; Jinsub Kim (SSP, 2018)

Attentional Multi-Reading Sarcasm Detection. - Reza Ghaeini; Xiaoli Z. Fern; Prasad Tadepalli (CoRR, 2018)

Weakly Supervised Dictionary Learning. - Zeyu You; Raviv Raich; Xiaoli Z. Fern; Jinsub Kim (IEEE Trans. Signal Process., 2018)

Dictionary Learning for Bioacoustics Monitoring with Applications to Species Classification. - José Francisco Ruiz-Muñoz; Zeyu You; Raviv Raich; Xiaoli Z. Fern (J. Signal Process. Syst., 2018)

Saliency Learning: Teaching the Model Where to Pay Attention. - Reza Ghaeini; Xiaoli Z. Fern; Hamed Shahbazi; Prasad Tadepalli (NAACL-HLT (1), 2019)

Description-Based Zero-shot Fine-Grained Entity Typing. - Rasha Obeidat; Xiaoli Z. Fern; Hamed Shahbazi; Prasad Tadepalli (NAACL-HLT (1), 2019)

Computational sustainability: computing for a better world and a sustainable future. - Carla P. Gomes; Thomas G. Dietterich; Christopher Barrett; Jon Conrad; Bistra Dilkina; Stefano Ermon; Fei Fang 001; Andrew Farnsworth; Alan Fern; Xiaoli Z. Fern; Daniel Fink 002; Douglas H. Fisher; et al. (Commun. ACM, 2019)

Entity-aware ELMo: Learning Contextual Entity Representation for Entity Disambiguation. - Hamed Shahbazi; Xiaoli Z. Fern; Reza Ghaeini; Rasha Obeidat; Prasad Tadepalli (CoRR, 2019)

ScaleNet - Improve CNNs through Recursively Rescaling Objects. - Xingyi Li; Zhongang Qi; Xiaoli Z. Fern; Fuxin Li (AAAI, 2020)

Relation Extraction with Explanation. - Hamed Shahbazi; Xiaoli Z. Fern; Reza Ghaeini; Prasad Tadepalli (ACL, 2020)

Towards explainable message passing networks for predicting carbon dioxide adsorption in metal-organic frameworks. - Ali Raza; Faaiq Waqar; Arni Sturluson; Cory Simon; Xiaoli Z. Fern (CoRR, 2020)

A Novel Attribute-Based Symmetric Multiple Instance Learning for Histopathological Image Analysis. - Trung Vu 001; Phung Lai; Raviv Raich; Anh T. Pham 001; Xiaoli Z. Fern; Arvind U. K. Rao (IEEE Trans. Medical Imaging, 2020)

Text Counterfactuals via Latent Optimization and Shapley-Guided Search. - Xiaoli Z. Fern; Quintin Pope (EMNLP (1), 2021)

Modeling Infant Free Play Using Hidden Markov Models. - Hoang Le; Justine E. Hoch; Ori Ossmy; Karen E. Adolph; Xiaoli Z. Fern; Alan Fern (ICDL, 2021)

The Devils in the Point Clouds: Studying the Robustness of Point Cloud Convolutions. - Xingyi Li; Wenxuan Wu; Xiaoli Z. Fern; Fuxin Li (CoRR, 2021)

An Empirical Study of Bayesian Optimization: Acquisition Versus Partition. - Erich Merrill; Alan Fern; Xiaoli Z. Fern; Nima Dolatnia (J. Mach. Learn. Res., 2021)

Non-equilibrium molecular geometries in graph neural networks. - Ali Raza; E. Adrian Henle; Xiaoli Z. Fern (CoRR, 2022)

PoreMatMod.jl: Julia Package for in Silico Postsynthetic Modification of Crystal Structure Models. - E. Adrian Henle; Nickolas Gantzler; Praveen K. Thallapally; Xiaoli Z. Fern; Cory M. Simon (J. Chem. Inf. Model., 2022)

Improving the Robustness of Point Convolution on k-Nearest Neighbor Neighborhoods with a Viewpoint-Invariant Coordinate Transform. - Xingyi Li; Wenxuan Wu; Xiaoli Z. Fern; Fuxin Li (WACV, 2023)

Neural Networks Learn Statistics of Increasing Complexity. - Nora Belrose; Quintin Pope; Lucia Quirke; Alex Mallen; Xiaoli Z. Fern (ICML, 2024)