Peer Reviewed Conference and Workshop Papers

2014

• John Walker Orr, Prasad Tadepalli, Janardhan Rao Doppa, Xiaoli Fern, Thomas G. Dietterich. Learning Scripts as Hidden Markov Models. AAAI 2014

• Chao Ma, Janardhan Rao Doppay, J. Walker Orr, Prashanth Mannem, Xiaoli Fern, Tom Dietterich and Prasad Tadepalli. Prune-and-Score: Learning for Greedy Coreference Resolution. EMNLP2014

• Anh T. Pham, Raviv Raich, and Xiaoli Z. Fern,  Efficient instance annotation in multi-instance learning.  IEEE Statistical Signal Processing Workshop (SSP), 2014

• Yuanli Pei, Arpit Christi, Xiaoli Fern, Alex Groce, and Weng-Keen Wong,  Taming a Fuzzer Using Delta Debugging Trails, ICDM workshop on Software Mining, 2014
  

2013

• 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, Anil Thomas, Gábor Fodor, Grigorios Tsoumakas, Hong Wei Ng, Thi Ngoc Tho Nguyen, Heikki Huttunen, Pekka Ruusuvuori, Tapio Manninen, Aleksandr Diment, Tuomas Virtanen, Julien Marzat, Joseph Defretin, Dave Callender, Chris Hurlburt, Ken Larrey, Maxim Milakov: The 9th annual MLSP competition: New methods for acoustic classification of multiple simultaneous bird species in a noisy environment. IEEE International Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP) 2013: 1-8

• Forrest Briggs, Xiaoli Fern and Raviv Raich, Context-Aware MIML Instance Annotation,  IEEE International Conference on Data Mining (ICDM 2013)

• Qi Lou, Raviv Raich, Forrest Briggs, Xiaoli Fern, Novelty Detection Under Multi-Label Multi-Instance Framework, IEEE International Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP) 2013

• Forrest Briggs, Xiaoli Fern and Jed Irvine, Multi-Label Classifier Chains for Bird Sound, ICML Workshop on Machine Learning for Bioacoustics, 2013

• Ali Jalali, Javad Azimi, Xiaoli Fern, and Ruofei Zhang, A Lipschitz Exploration-Exploitation Scheme for Bayesian Optimization. ECML/PKDD 2013

• Yang Chen, Alex Groce, Chaoqiang Zhang, Weng-Keen Wong, Xiaoli Fern, Eric Eide, John Regehr: Taming compiler fuzzers. ACM SIGPLAN Programming Language Design and Implementation (PLDI) 2013
  

2012

• Javad Azimi, Ruofei Zhang, Yang Zhou, Vidhya Navalpakkam, Jianchang Mao, Xiaoli Fern, Visual appearance of display ads and its effect on click through rate. CIKM 2012: 495-504
  

• Javad Azimi, Alan Fern, Xiaoli Fern. Glencora  Borradaile,Brent Heeringa, Batch Active Learning via Coordinating  Matching, ICML 2012. pdf
  

• Javad Azimi, Ali Jalali, Xiaoli Fern, Hybrid Batch Bayesian Optimization, ICML 2012.  pdf
  

• Forrest Briggs, Xiaoli Fern and Raviv Raich, Rank Loss Support Instance Machines for MIML Instance Annotation, KDD 2012. pdf
  

• Javad Azimi, Bruce Zhang, Yang  Zhou, Vidhya Navalpakkam, Jianchang Mao, Xiaoli Fern, The Impact of Visual Appearance on User Response in Online Display Advertising, WWW 2012 (poster).  pdf
  

• Li-ping Liu and Xiaoli Z Fern, Constructing Training Set for Outlier Detection, SDM 2012, pdf

• Behrouz Behmardi, Forrest Briggs, Xiaoli Z. Fern, and Raviv Raich, Regularized Joint Density Estimation for Multi-Instance Learning, IEEE Statistical Signal Processing Workshop 2012

2011

• Shahed Sorower, Thomas Dietterich, Janardhan Rao Doppa, Xiaoli Fern and Prasad Tadepalli, Inverting Grice's Maxims to Learn Rules from Natural Language Extractions, NIPS 2011 pdf

• Janardhan Rao Doppa, Mohammad Sorower,Mohammad NasrEsfahani, Jed Irvine, Thomas G. Dietterich, Xiaoli Fern and Prasad Tadepalli, Learning Rules from Incomplete Examples via Implicit Mention Models, ACML 2011 pdf

• Javad Azimi, Alan Fern and Xiaoli Fern, Budgeted Optimization with Concurent Stochastic-Duration Experiments, NIPS 2011 (Spotlight) pdf

• Lawrence Neal, Forrest Briggs, Raviv Raich, and Xiaoli Z.Fern, Time-Frequency Segmentation of Bird Song in Noisy Acoustic Environments, In Proc. International Conference on Acoustics, Speech and Signal Processing, ICASSP 2011.(pdf)
• Javad Azimi, Ali Jalali, and Xiaoli Fern, Dynamic Batch Bayesian Optimization, In NIPS 2011 workshop on Bayesian Optimization. pdf

• Javad Azimi, Alan Fern and Xiaoli Fern. Active Function Optimization with Multiple Stochastic-Duration Experiments.In ICML Workshop on Combining Learning Strategies to Reduce Label Cost, 2011
  

2010 and prior

• Javad Azimi, Alan Fern and Xiaoli Fern, Batch Bayesian Optimization via Simulation Matching, Advances in Neural Information Processing Systems (NIPS-2010) pdf

• Javad Azimi, Xiaoli Fern, Alan Fern, Elizabeth Burrows, Frank Chaplen, Yanzhen Fan, Hong Liu, Jun Jiao, and Rebecca Schaller, Myopic Policies for Budgeted Optimization with Constrained Experiments, Proceedings of AAAI 2010. pdf

• Janardhan Rao Doppa, Mohammad NasrEsfahani, Mohammad Sorower, Thomas G. Dietterich, Xiaoli Fern and Prasad Tadepalli, Learning Rules from Incomplete Examples via Observation Models In Proceedings of the 1st International Workshop on Formalisms and Methodology for Learning by Reading, FAM-LR 2010

• B. Lakshminarayanan, R. Raich, and X. Fern, A syllable-level probabilistic framework for bird species identification, in Proc. IEEE International Conference on Machine Learning and Applications, ICMLA 2009.pdf

• Forrest Briggs, Raviv Raich, and Xiaoli Z. Fern, Audio Classification of Bird Species: a Statistical Manifold Approach, to appear in Proceedings of International Conference on Data Mining, ICDM 2009, pdf

• Wei Zhang, Akshat Surve, Xiaoli Z. Fern and Thomas Ditteriech, Learning Non-redundant Codebooks for Classifying Complex Objects,  In Proceedings of International Conference on Machine Learning, ICML 2009. PDF

• Javad Azimi and Xiaoli Fern, Adaptive Cluster Ensemble Selection, In Proceedings of International Joint Conference on Artificial Intellegence, IJCAI 2009. PDF

• Neeraja Subrahmaniyan, Laura Beckwith, Valentina Grigoreanu, Margaret Burnett, Susan Wiedenbeck,Vaishnavi Narayanan, Karin Bucht, Russell Drummond, and Xiaoli Fern, Testing vs. Code Inspection vs. ... What Else? Male and Female End Users' Debugging Strategies, ACM Conference on Human-Computer Interaction, April 2008  (CHI2008) pdf
  

• Xiaoli Z. Fern and Wei Lin, Cluster Ensemble Selection, In Proceedings of 2008 SIAM International Conference on Data Mining (SDM08). pdf

• Ying Cui, Xiaoli Z. Fern and Jennifer Dy, Non-redundant multi-view clustering via orthogonalization, in Proceedings of 7th IEEE International Conference on Data Mining (ICDM07) pdf.

• Xiaoli Fern, Chaitanya Komireddy, Margaret Burnett, Mining Interpretable Human Strategies: A Case Study, In Proceedings of 7th IEEE International Conference on Data Mining (ICDM07) pdf. A longer tech report version can be found here pdf.

• Grigoreanu, V., Beckwith, L., Fern, X., Yang, S., Komireddy, C., Narayanan, V., Cook, C., Burnett, M., Gender Differences in End-User Debugging, Revisited: What the Miners Found. In Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing Languages and Environments, Brighton, England, September 2006. pdf

• Xiaoli Z. Fern, Carla E. Brodley and Mark A. Friedl,  Correlation clustering for learning mixture of canonical correlation models,  Accepted for SIAM International Conference on Data Mining (SDM2005). PDF file

• Xiaoli Z. Fern and Carla E. Brodley,  Solving cluster ensemble problems by bipartite graph partitioning, in Proceedings of 21th International Conference on Machine learning (ICML2004), PDF file,

• Xiaoli Z. Fern and Carla E. Brodley,  Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach,  in Proceedings of 20th International Conference on Machine learning (ICML2003), PDF file

• Xiaoli Z. Fern and Carla E. Brodley,  Boosting Lazy Decision Trees,  Proceedings of 20th Iternational Conference on Machine Learning (ICML 2003), PDF file

Journal Papers