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ORCIDXiaoli Z. Fern
Xiaoli Zhang Fern
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- affiliation: Oregon State University, School of Electrical Engineering and Computer Science, Corvallis, OR, USA
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Journal Articles
- 2022
[j18]E. Adrian Henle
, Nickolas Gantzler, Praveen K. Thallapally, Xiaoli Z. Fern, Cory M. Simon:
PoreMatMod.jl: Julia Package for in Silico Postsynthetic Modification of Crystal Structure Models. J. Chem. Inf. Model. 62(3): 423-432 (2022)- 2021
- [j17]Erich Merrill, Alan Fern, Xiaoli Z. Fern, Nima Dolatnia:
An Empirical Study of Bayesian Optimization: Acquisition Versus Partition. J. Mach. Learn. Res. 22: 4:1-4:25 (2021) - 2020
- [j16]Trung Vu, Phung Lai, Raviv Raich, Anh T. Pham, Xiaoli Z. Fern, Arvind U. K. Rao:
A Novel Attribute-Based Symmetric Multiple Instance Learning for Histopathological Image Analysis. IEEE Trans. Medical Imaging 39(10): 3125-3136 (2020) - 2019
- [j15]Carla P. Gomes, Thomas G. Dietterich, Christopher Barrett, Jon Conrad, Bistra Dilkina, Stefano Ermon, Fei Fang, Andrew Farnsworth, Alan Fern, Xiaoli Z. Fern, Daniel Fink, Douglas H. Fisher, Alexander Flecker, Daniel Freund, Angela Fuller, John M. Gregoire, John E. Hopcroft, Steve Kelling, J. Zico Kolter, Warren B. Powell, Nicole D. Sintov, John S. Selker, Bart Selman, Daniel Sheldon, David B. Shmoys, Milind Tambe, Weng-Keen Wong, Christopher Wood, Xiaojian Wu, Yexiang Xue, Amulya Yadav, Abdul-Aziz Yakubu, Mary Lou Zeeman:
Computational sustainability: computing for a better world and a sustainable future. Commun. ACM 62(9): 56-65 (2019) - 2018
- [j14]Zeyu You, Raviv Raich, Xiaoli Z. Fern, Jinsub Kim:
Weakly Supervised Dictionary Learning. IEEE Trans. Signal Process. 66(10): 2527-2541 (2018) - [j13]José Francisco Ruiz-Muñoz, Zeyu You, Raviv Raich, Xiaoli Z. Fern:
Dictionary Learning for Bioacoustics Monitoring with Applications to Species Classification. J. Signal Process. Syst. 90(2): 233-247 (2018) - 2017
- [j12]Anh T. Pham, Raviv Raich, Xiaoli Z. Fern:
Dynamic Programming for Instance Annotation in Multi-Instance Multi-Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. 39(12): 2381-2394 (2017) - 2016
- [j11]Javad Azimi, Xiaoli Z. Fern, Alan Fern:
Budgeted Optimization with Constrained Experiments. J. Artif. Intell. Res. 56: 119-152 (2016) - [j10]Yuanli Pei, Xiaoli Z. Fern, Teresa Vania Tjahja, Rómer Rosales:
Comparing Clustering with Pairwise and Relative Constraints: A Unified Framework. ACM Trans. Knowl. Discov. Data 11(2): 22:1-22:26 (2016) - 2015
- [j9]Forrest Briggs, Xiaoli Z. Fern, Raviv Raich:
Context-aware MIML instance annotation: exploiting label correlations with classifier chains. Knowl. Inf. Syst. 43(1): 53-79 (2015) - [j8]Sicheng Xiong, Yuanli Pei, Rómer Rosales, Xiaoli Z. Fern:
Active Learning from Relative Comparisons. IEEE Trans. Knowl. Data Eng. 27(12): 3166-3175 (2015) - 2014
- [j7]Yuanli Pei, Xiaoli Z. Fern:
Constrained instance clustering in multi-instance multi-label learning. Pattern Recognit. Lett. 37: 107-114 (2014) - [j6]Sicheng Xiong, Javad Azimi, Xiaoli Z. Fern:
Active Learning of Constraints for Semi-Supervised Clustering. IEEE Trans. Knowl. Data Eng. 26(1): 43-54 (2014) - 2013
- [j5]Forrest Briggs, Xiaoli Z. Fern, Raviv Raich, Qi Lou:
Instance Annotation for Multi-Instance Multi-Label Learning. ACM Trans. Knowl. Discov. Data 7(3): 14:1-14:30 (2013) - 2010
- [j4]Xiaoli Z. Fern, Ian Davidson, Jennifer G. Dy:
MultiClust 2010: discovering, summarizing and using multiple clusterings. SIGKDD Explor. 12(2): 47-49 (2010) - [j3]Ying Cui, Xiaoli Z. Fern, Jennifer G. Dy:
Learning multiple nonredundant clusterings. ACM Trans. Knowl. Discov. Data 4(3): 15:1-15:32 (2010) - [j2]Xiaoli Z. Fern, Chaitanya Komireddy, Valentina Grigoreanu, Margaret M. Burnett:
Mining problem-solving strategies from HCI data. ACM Trans. Comput. Hum. Interact. 17(1): 3:1-3:22 (2010) - 2008
- [j1]Xiaoli Z. Fern, Wei Lin:
Cluster Ensemble Selection. Stat. Anal. Data Min. 1(3): 128-141 (2008)
Conference and Workshop Papers
- 2023
- [c72]Xingyi Li, Wenxuan Wu, Xiaoli Z. Fern, Fuxin Li:
Improving the Robustness of Point Convolution on k-Nearest Neighbor Neighborhoods with a Viewpoint-Invariant Coordinate Transform. WACV 2023: 1287-1297 - 2021
- [c71]Xiaoli Z. Fern, Quintin Pope:
Text Counterfactuals via Latent Optimization and Shapley-Guided Search. EMNLP (1) 2021: 5578-5593 - [c70]Hoang Le, Justine E. Hoch, Ori Ossmy, Karen E. Adolph, Xiaoli Z. Fern, Alan Fern:
Modeling Infant Free Play Using Hidden Markov Models. ICDL 2021: 1-6 - 2020
- [c69]Xingyi Li, Zhongang Qi, Xiaoli Z. Fern, Fuxin Li:
ScaleNet - Improve CNNs through Recursively Rescaling Objects. AAAI 2020: 11426-11433 - [c68]Hamed Shahbazi, Xiaoli Z. Fern, Reza Ghaeini, Prasad Tadepalli:
Relation Extraction with Explanation. ACL 2020: 6488-6494 - 2019
- [c67]Rasha Obeidat, Xiaoli Z. Fern, Hamed Shahbazi, Prasad Tadepalli:
Description-Based Zero-shot Fine-Grained Entity Typing. NAACL-HLT (1) 2019: 807-814 - [c66]Reza Ghaeini, Xiaoli Z. Fern, Hamed Shahbazi, Prasad Tadepalli:
Saliency Learning: Teaching the Model Where to Pay Attention. NAACL-HLT (1) 2019: 4016-4025 - 2018
- [c65]Hamed Shahbazi, Xiaoli Z. Fern, Reza Ghaeini, Chao Ma, Rasha Mohammad Obeidat, Prasad Tadepalli:
Joint Neural Entity Disambiguation with Output Space Search. COLING 2018: 2170-2180 - [c64]Reza Ghaeini, Xiaoli Z. Fern, Hamed Shahbazi, Prasad Tadepalli:
Dependent Gated Reading for Cloze-Style Question Answering. COLING 2018: 3330-3345 - [c63]Lawrence Neal, Matthew L. Olson, Xiaoli Z. Fern, Weng-Keen Wong, Fuxin Li:
Open Set Learning with Counterfactual Images. ECCV (6) 2018: 620-635 - [c62]John Walker Orr, Prasad Tadepalli, Xiaoli Z. Fern:
Event Detection with Neural Networks: A Rigorous Empirical Evaluation. EMNLP 2018: 999-1004 - [c61]Reza Ghaeini, Xiaoli Z. Fern, Prasad Tadepalli:
Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference. EMNLP 2018: 4952-4957 - [c60]Anh T. Pham, Raviv Raich, Xiaoli Z. Fern, Weng-Keen Wong, Xinze Guan:
Discriminative Probabilistic Framework for Generalized Multi-Instance Learning. ICASSP 2018: 2281-2285 - [c59]Anh T. Pham, Raviv Raich, Xiaoli Z. Fern:
Discriminative Clustering with Cardinality Constraints. ICASSP 2018: 2291-2295 - [c58]Yuanli Pei, Xiaoli Z. Fern, Raviv Raich:
Learning with Latent Label Hierarchy from Incomplete Multi-Label Data. ICPR 2018: 2075-2080 - [c57]Reza Ghaeini, Sadid A. Hasan, Vivek V. Datla, Joey Liu, Kathy Lee, Ashequl Qadir, Yuan Ling, Aaditya Prakash, Xiaoli Z. Fern, Oladimeji Farri:
DR-BiLSTM: Dependent Reading Bidirectional LSTM for Natural Language Inference. NAACL-HLT 2018: 1460-1469 - [c56]Zeyu You, Raviv Raich, Xiaoli Z. Fern, Jinsub Kim:
Weakly Supervised Learning of Multiple-Scale Dictionaries. SSP 2018: 100-104 - 2017
- [c55]Chao Ma, Janardhan Rao Doppa, Prasad Tadepalli, Hamed Shahbazi, Xiaoli Z. Fern:
Multi-Task Structured Prediction for Entity Analysis: Search-Based Learning Algorithms. ACML 2017: 514-529 - [c54]Revathy Narasimhan, Xiaoli Z. Fern, Raviv Raich:
Simultaneous segmentation and classification of bird song using CNN. ICASSP 2017: 146-150 - [c53]Zeyu You, Raviv Raich, Xiaoli Z. Fern, Jinsub Kim:
Discriminative recurring signal detection and localization. ICASSP 2017: 2377-2381 - [c52]José Francisco Ruiz-Muñoz, Raviv Raich, Mauricio Orozco-Alzate, Xiaoli Z. Fern:
Online learning of time-frequency patterns. ICASSP 2017: 2811-2815 - [c51]Xingyi Li, Fuxin Li, Xiaoli Z. Fern, Raviv Raich:
Filter shaping for Convolutional Neural Networks. ICLR (Poster) 2017 - [c50]Tarn Nguyen, Raviv Raich, Xiaoli Z. Fern, Anh T. Pham:
MIML-AI: Mixed-supervision multi-instance multi-label learning with auxiliary information. MLSP 2017: 1-6 - 2016
- [c49]Forrest Briggs, Xiaoli Z. Fern, Raviv Raich, Matthew Betts:
Multi-Instance Multi-Label Class Discovery: A Computational Approach for Assessing Bird Biodiversity. AAAI 2016: 3807-3813 - [c48]Reza Ghaeini, Xiaoli Z. Fern, Liang Huang, Prasad Tadepalli:
Event Nugget Detection with Forward-Backward Recurrent Neural Networks. ACL (2) 2016 - [c47]Nima Dolatnia, Alan Fern, Xiaoli Z. Fern:
Bayesian Optimization with Resource Constraints and Production. ICAPS 2016: 115-123 - [c46]Anh T. Pham, Raviv Raich, Xiaoli Z. Fern:
Semi-supervised learning in the presence of novel class instances. ICASSP 2016: 2419-2423 - [c45]Rasha Obeidat, Xiaoli Z. Fern, Prasad Tadepalli:
Label Embedding Approach for Transfer Learning. ICBO/BioCreative 2016 - [c44]Zeyu You, Raviv Raich, Xiaoli Z. Fern, Jinsub Kim:
Weakly-supervised analysis dictionary learning with cardinality constraints. SSP 2016: 1-5 - 2015
- [c43]Jun Xie, Chao Ma, Janardhan Rao Doppa, Prashanth Mannem, Xiaoli Z. Fern, Thomas G. Dietterich, Prasad Tadepalli:
Learning Greedy Policies for the Easy-First Framework. AAAI 2015: 2339-2345 - [c42]Nima Dolatnia, Alan Fern, Xiaoli Z. Fern:
Toward Embedding Bayesian Optimization in the Lab: Reasoning about Resource and Actions. AAAI Fall Symposia 2015: 2-8 - [c41]Teresa Vania Tjahja, Xiaoli Z. Fern, Raviv Raich, Anh T. Pham:
Supervised hierarchical segmentation for bird song recording. ICASSP 2015: 763-767 - [c40]Anh T. Pham, Raviv Raich, Xiaoli Z. Fern, Jesús Pérez Arriaga:
Multi-instance multi-label learning in the presence of novel class instances. ICML 2015: 2427-2435 - [c39]Anh T. Pham, Raviv Raich, Xiaoli Z. Fern:
Simultaneous instance annotation and clustering in multi-instance multi-label learning. MLSP 2015: 1-6 - [c38]José Francisco Ruiz-Muñoz, Zeyu You, Raviv Raich, Xiaoli Z. Fern:
Dictionary extraction from a collection of spectrograms for bioacoustics monitoring. MLSP 2015: 1-6 - [c37]Yuanli Pei, Li-Ping Liu, Xiaoli Z. Fern:
Bayesian Active Clustering with Pairwise Constraints. ECML/PKDD (1) 2015: 235-250 - 2014
- [c36]John Walker Orr, Prasad Tadepalli, Janardhan Rao Doppa, Xiaoli Z. Fern, Thomas G. Dietterich:
Learning Scripts as Hidden Markov Models. AAAI 2014: 1565-1571 - [c35]Chao Ma, Janardhan Rao Doppa, John Walker Orr, Prashanth Mannem, Xiaoli Z. Fern, Thomas G. Dietterich, Prasad Tadepalli:
Prune-and-Score: Learning for Greedy Coreference Resolution. EMNLP 2014: 2115-2126 - [c34]Yuanli Pei, Arpit Christi, Xiaoli Z. Fern, Alex Groce, Weng-Keen Wong:
Taming a Fuzzer Using Delta Debugging Trails. ICDM Workshops 2014: 840-843 - [c33]Anh T. Pham, Raviv Raich, Xiaoli Z. Fern:
Efficient instance annotation in multi-instance learning. SSP 2014: 137-140 - 2013
- [c32]Forrest Briggs, Xiaoli Z. Fern, Raviv Raich:
Context-Aware MIML Instance Annotation. ICDM 2013: 41-50 - [c31]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. MLSP 2013: 1-8 - [c30]Qi Lou, Raviv Raich, Forrest Briggs, Xiaoli Z. Fern:
Novelty detection under multi-label multi-instance framework. MLSP 2013: 1-6 - [c29]Ali Jalali, Javad Azimi, Xiaoli Z. Fern, Ruofei Zhang:
A Lipschitz Exploration-Exploitation Scheme for Bayesian Optimization. ECML/PKDD (1) 2013: 210-224 - [c28]Yang Chen, Alex Groce, Chaoqiang Zhang, Weng-Keen Wong, Xiaoli Z. Fern, Eric Eide, John Regehr:
Taming compiler fuzzers. PLDI 2013: 197-208 - 2012
- [c27]Javad Azimi, Ruofei Zhang, Yang Zhou, Vidhya Navalpakkam, Jianchang Mao, Xiaoli Z. Fern:
Visual appearance of display ads and its effect on click through rate. CIKM 2012: 495-504 - [c26]Javad Azimi, Alan Fern, Xiaoli Zhang Fern, Glencora Borradaile, Brent Heeringa:
Batch Active Learning via Coordinated Matching. ICML 2012 - [c25]Javad Azimi, Ali Jalali, Xiaoli Zhang Fern:
Hybrid Batch Bayesian Optimization. ICML 2012 - [c24]Forrest Briggs, Xiaoli Z. Fern, Raviv Raich:
Rank-loss support instance machines for MIML instance annotation. KDD 2012: 534-542 - [c23]Li-Ping Liu, Xiaoli Z. Fern:
Constructing Training Sets for Outlier Detection. SDM 2012: 919-929 - [c22]Behrouz Behmardi, Forrest Briggs, Xiaoli Z. Fern, Raviv Raich:
Regularized joint density estimation for multi-instance learning. SSP 2012: 740-743 - [c21]Javad Azimi, Ruofei Zhang, Yang Zhou, Vidhya Navalpakkam, Jianchang Mao, Xiaoli Z. Fern:
The impact of visual appearance on user response in online display advertising. WWW (Companion Volume) 2012: 457-458 - 2011
- [c20]Lawrence Neal, Forrest Briggs, Raviv Raich, Xiaoli Z. Fern:
Time-frequency segmentation of bird song in noisy acoustic environments. ICASSP 2011: 2012-2015 - [c19]Shahed Sorower, Thomas G. Dietterich, Janardhan Rao Doppa, John Walker Orr, Prasad Tadepalli, Xiaoli Z. Fern:
Inverting Grice's Maxims to Learn Rules from Natural Language Extractions. NIPS 2011: 1053-1061 - [c18]Javad Azimi, Alan Fern, Xiaoli Z. Fern:
Budgeted Optimization with Concurrent Stochastic-Duration Experiments. NIPS 2011: 1098-1106 - [c17]Janardhan Rao Doppa, Shahed Sorower, Mohammad NasrEsfahani, John Walker Orr, Thomas G. Dietterich, Xiaoli Z. Fern, Prasad Tadepalli, Jed Irvine:
Learning Rules from Incomplete Examples via Implicit Mention Models. ACML 2011: 197-212 - 2010
- [c16]Javad Azimi, Xiaoli Z. Fern, Alan Fern, Elizabeth Burrows, Frank Chaplen, Yanzhen Fan, Hong Liu, Jun Jaio, Rebecca Schaller:
Myopic Policies for Budgeted Optimization with Constrained Experiments. AAAI 2010: 388-393 - [c15]Javad Azimi, Alan Fern, Xiaoli Z. Fern:
Batch Bayesian Optimization via Simulation Matching. NIPS 2010: 109-117 - 2009
- [c14]Forrest Briggs, Raviv Raich, Xiaoli Z. Fern:
Audio Classification of Bird Species: A Statistical Manifold Approach. ICDM 2009: 51-60 - [c13]Wei Zhang, Akshat Surve, Xiaoli Z. Fern, Thomas G. Dietterich:
Learning non-redundant codebooks for classifying complex objects. ICML 2009: 1241-1248 - [c12]Balaji Lakshminarayanan, Raviv Raich, Xiaoli Z. Fern:
A Syllable-Level Probabilistic Framework for Bird Species Identification. ICMLA 2009: 53-59 - [c11]Javad Azimi, Xiaoli Z. Fern:
Adaptive Cluster Ensemble Selection. IJCAI 2009: 992-997 - [c10]Javad Azimi, Paul Cull, Xiaoli Z. Fern:
Clustering Ensembles Using Ants Algorithm. IWINAC (1) 2009: 295-304 - 2008
- [c9]Neeraja Subrahmaniyan, Laura Beckwith, Valentina Grigoreanu, Margaret M. Burnett, Susan Wiedenbeck, Vaishnavi Narayanan, Karin Bucht, Russell Drummond, Xiaoli Z. Fern:
Testing vs. code inspection vs. what else?: male and female end users' debugging strategies. CHI 2008: 617-626 - [c8]Xiaoli Z. Fern, Wei Lin:
Cluster Ensemble Selection. SDM 2008: 787-797 - 2007
- [c7]Ying Cui, Xiaoli Z. Fern, Jennifer G. Dy:
Non-redundant Multi-view Clustering via Orthogonalization. ICDM 2007: 133-142 - [c6]Xiaoli Z. Fern, Chaitanya Komireddy, Margaret M. Burnett:
Mining Interpretable Human Strategies: A Case Study. ICDM 2007: 475-480 - 2006
- [c5]Valentina Grigoreanu, Laura Beckwith, Xiaoli Z. Fern, Sherry Yang, Chaitanya Komireddy, Vaishnavi Narayanan, Curtis R. Cook, Margaret M. Burnett:
Gender Differences in End-User Debugging, Revisited: What the Miners Found. VL/HCC 2006: 19-26 - 2005
- [c4]Xiaoli Zhang Fern, Carla E. Brodley, Mark A. Friedl:
Correlation Clustering for Learning Mixtures of Canonical Correlation Models. SDM 2005: 439-448 - 2004
- [c3]Xiaoli Zhang Fern, Carla E. Brodley:
Solving cluster ensemble problems by bipartite graph partitioning. ICML 2004 - 2003
- [c2]Xiaoli Zhang Fern, Carla E. Brodley:
Boosting Lazy Decision Trees. ICML 2003: 178-185 - [c1]Xiaoli Zhang Fern, Carla E. Brodley:
Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach. ICML 2003: 186-193
Informal and Other Publications
- 2024
- [i28]Nora Belrose, Quintin Pope, Lucia Quirke, Alex Mallen, Xiaoli Z. Fern:
Neural Networks Learn Statistics of Increasing Complexity. CoRR abs/2402.04362 (2024) - 2022
- [i27]Ali Raza, E. Adrian Henle, Xiaoli Z. Fern:
Non-equilibrium molecular geometries in graph neural networks. CoRR abs/2203.04697 (2022) - 2021
- [i26]Xingyi Li, Wenxuan Wu, Xiaoli Z. Fern, Fuxin Li:
The Devils in the Point Clouds: Studying the Robustness of Point Cloud Convolutions. CoRR abs/2101.07832 (2021) - [i25]Quintin Pope, Xiaoli Z. Fern:
Text Counterfactuals via Latent Optimization and Shapley-Guided Search. CoRR abs/2110.11589 (2021) - 2020
- [i24]Hamed Shahbazi, Xiaoli Z. Fern, Reza Ghaeini, Prasad Tadepalli:
Relation Extraction with Explanation. CoRR abs/2005.14271 (2020) - [i23]Ali Raza, Faaiq Waqar, Arni Sturluson, Cory Simon, Xiaoli Z. Fern:
Towards explainable message passing networks for predicting carbon dioxide adsorption in metal-organic frameworks. CoRR abs/2012.03723 (2020) - 2019
- [i22]Reza Ghaeini, Xiaoli Z. Fern, Hamed Shahbazi, Prasad Tadepalli:
Saliency Learning: Teaching the Model Where to Pay Attention. CoRR abs/1902.08649 (2019) - [i21]Hamed Shahbazi, Xiaoli Z. Fern, Reza Ghaeini, Rasha Obeidat, Prasad Tadepalli:
Entity-aware ELMo: Learning Contextual Entity Representation for Entity Disambiguation. CoRR abs/1908.05762 (2019) - 2018
- [i20]Zeyu You, Raviv Raich, Xiaoli Z. Fern, Jinsub Kim:
Weakly-supervised Dictionary Learning. CoRR abs/1802.01709 (2018) - [i19]Reza Ghaeini, Sadid A. Hasan, Vivek V. Datla, Joey Liu, Kathy Lee, Ashequl Qadir, Yuan Ling, Aaditya Prakash, Xiaoli Z. Fern, Oladimeji Farri:
DR-BiLSTM: Dependent Reading Bidirectional LSTM for Natural Language Inference. CoRR abs/1802.05577 (2018) - [i18]Reza Ghaeini, Xiaoli Z. Fern, Liang Huang, Prasad Tadepalli:
Event Nugget Detection with Forward-Backward Recurrent Neural Networks. CoRR abs/1802.05672 (2018) - [i17]Reza Ghaeini, Xiaoli Z. Fern, Hamed Shahbazi, Prasad Tadepalli:
Dependent Gated Reading for Cloze-Style Question Answering. CoRR abs/1805.10528 (2018) - [i16]Hamed Shahbazi, Xiaoli Z. Fern, Reza Ghaeini, Chao Ma, Rasha Obeidat, Prasad Tadepalli:
Joint Neural Entity Disambiguation with Output Space Search. CoRR abs/1806.07495 (2018) - [i15]Reza Ghaeini, Xiaoli Z. Fern, Prasad Tadepalli:
Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference. CoRR abs/1808.03894 (2018) - [i14]John Walker Orr, Prasad Tadepalli, Xiaoli Z. Fern:
Event Detection with Neural Networks: A Rigorous Empirical Evaluation. CoRR abs/1808.08504 (2018) - [i13]Reza Ghaeini, Xiaoli Z. Fern, Prasad Tadepalli:
Attentional Multi-Reading Sarcasm Detection. CoRR abs/1809.03051 (2018) - [i12]John Walker Orr, Prasad Tadepalli, Janardhan Rao Doppa, Xiaoli Z. Fern, Thomas G. Dietterich:
Learning Scripts as Hidden Markov Models. CoRR abs/1809.03680 (2018) - 2016
- [i11]Hamed Shahbazi, Chao Ma, Xiaoli Z. Fern, Prasad Tadepalli:
Cross Lingual Mention and Entity Embeddings for Cross-Lingual Entity Disambiguation. TAC 2016 - [i10]Behrouz Behmardi, Forrest Briggs, Xiaoli Z. Fern, Raviv Raich:
Confidence-Constrained Maximum Entropy Framework for Learning from Multi-Instance Data. CoRR abs/1603.01901 (2016) - 2015
- [i9]Yuanli Pei, Xiaoli Z. Fern, Rómer Rosales, Teresa Vania Tjahja:
Discriminative Clustering with Relative Constraints. CoRR abs/1501.00037 (2015) - 2014
- [i8]Sicheng Xiong, Rómer Rosales, Yuanli Pei, Xiaoli Z. Fern:
Active Metric Learning from Relative Comparisons. CoRR abs/1409.4155 (2014) - [i7]Anh T. Pham, Raviv Raich, Xiaoli Z. Fern:
Dynamic Programming for Instance Annotation in Multi-instance Multi-label Learning. CoRR abs/1411.4068 (2014) - 2013
- [i6]Forrest Briggs, Xiaoli Z. Fern, Jed Irvine:
Multi-Label Classifier Chains for Bird Sound. CoRR abs/1304.5862 (2013) - [i5]Qi Lou, Raviv Raich, Forrest Briggs, Xiaoli Z. Fern:
Novelty Detection Under Multi-Instance Multi-Label Framework. CoRR abs/1311.6211 (2013) - 2012
- [i4]Javad Azimi, Ruofei Zhang, Yang Zhou, Vidhya Navalpakkam, Jianchang Mao, Xiaoli Z. Fern:
The Impact of Visual Appearance on User Response in Online Display Advertising. CoRR abs/1202.2158 (2012) - [i3]Javad Azimi, Ali Jalali, Xiaoli Z. Fern:
Hybrid Batch Bayesian Optimization. CoRR abs/1202.5597 (2012) - [i2]Ali Jalali, Javad Azimi, Xiaoli Z. Fern:
Exploration vs Exploitation in Bayesian Optimization. CoRR abs/1204.0047 (2012) - 2011
- [i1]Javad Azimi, Ali Jalali, Xiaoli Z. Fern:
Dynamic Batch Bayesian Optimization. CoRR abs/1110.3347 (2011)
Coauthor Index
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