Xiaoli Z. Fern

发表

The Devils in the Point Clouds: Studying the Robustness of Point Cloud Convolutions pdf

Xingyi Li, Wenxuan Wu, Xiaoli Z. Fern, 2021, ArXiv.

Ali Jalali, Xiaoli Z. Fern, Javad Azimi, 2012, ICML.

Discriminative Probabilistic Framework for Generalized Multi-Instance Learning

Weng-Keen Wong, Xiaoli Z. Fern, Anh T. Pham, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Multi-Task Structured Prediction for Entity Analysis: Search-Based Learning Algorithms

Xiaoli Z. Fern, Chao Ma, Janardhan Rao Doppa, 2017, ACML.

Prune-and-Score: Learning for Greedy Coreference Resolution

Thomas G. Dietterich, Xiaoli Z. Fern, Chao Ma, 2014, EMNLP.

Dynamic Batch Bayesian Optimization pdf

Ali Jalali, Xiaoli Z. Fern, Javad Azimi, 2011, ArXiv.

Active Metric Learning from Relative Comparisons pdf

Rómer Rosales, Xiaoli Z. Fern, Sicheng Xiong, 2014, ArXiv.

Entity-aware ELMo: Learning Contextual Entity Representation for Entity Disambiguation pdf

Xiaoli Z. Fern, Prasad Tadepalli, Hamed Shahbazi, 2019, ArXiv.

Regularized joint density estimation for multi-instance learning

Xiaoli Z. Fern, Raviv Raich, Behrouz Behmardi, 2012, 2012 IEEE Statistical Signal Processing Workshop (SSP).

Dependent Gated Reading for Cloze-Style Question Answering

Xiaoli Z. Fern, Prasad Tadepalli, Hamed Shahbazi, 2018, COLING.

Context-Aware MIML Instance Annotation

Xiaoli Z. Fern, Raviv Raich, Forrest Briggs, 2013, 2013 IEEE 13th International Conference on Data Mining.

Joint Neural Entity Disambiguation with Output Space Search pdf

Xiaoli Z. Fern, Chao Ma, Prasad Tadepalli, 2018, COLING.

Correlation Clustering for Learning Mixtures of Canonical Correlation Models

Carla E. Brodley, Mark A. Friedl, Xiaoli Z. Fern, 2005, SDM.

ScaleNet - Improve CNNs through Recursively Rescaling Objects

Xiaoli Z. Fern, Li Fuxin, Zhongang Qi, 2020, AAAI.

Learning Greedy Policies for the Easy-First Framework

Thomas G. Dietterich, Xiaoli Z. Fern, Chao Ma, 2015, AAAI.

Event Nugget Detection with Forward-Backward Recurrent Neural Networks pdf

Xiaoli Z. Fern, Prasad Tadepalli, Reza Ghaeini, 2016, ACL.

Instance Annotation for Multi-Instance Multi-Label Learning

Xiaoli Z. Fern, Raviv Raich, Forrest Briggs, 2013, TKDD.

Multi-Label Classifier Chains for Bird Sound pdf

Jed Irvine, Xiaoli Z. Fern, Forrest Briggs, 2013, ArXiv.

Relation Extraction with Explanation pdf

Xiaoli Z. Fern, Prasad Tadepalli, Hamed Shahbazi, 2020, ACL.

Time-frequency segmentation of bird song in noisy acoustic environments

Xiaoli Z. Fern, Raviv Raich, Forrest Briggs, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Label Embedding Approach for Transfer Learning

Xiaoli Z. Fern, Prasad Tadepalli, Rasha Obeidat, 2016, ICBO/BioCreative.

Event Detection with Neural Networks: A Rigorous Empirical Evaluation pdf

Xiaoli Z. Fern, Prasad Tadepalli, John Walker Orr, 2018, EMNLP.

Cluster Ensemble Selection

Xiaoli Z. Fern, Wei Lin, 2008 .

Bayesian Active Clustering with Pairwise Constraints

Xiaoli Z. Fern, Yuanli Pei, Li-Ping Liu, 2015, ECML/PKDD.

Weakly-supervised analysis dictionary learning with cardinality constraints

Xiaoli Z. Fern, Raviv Raich, Jinsub Kim, 2016, 2016 IEEE Statistical Signal Processing Workshop (SSP).

Cluster Ensemble Selection

Xiaoli Z. Fern, Wei Lin, Wei Lin, 2008, Stat. Anal. Data Min..

Mining Interpretable Human Strategies: A Case Study

Margaret M. Burnett, Xiaoli Z. Fern, Chaitanya Komireddy, 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).

Taming a Fuzzer Using Delta Debugging Trails

Alex Groce, Weng-Keen Wong, Xiaoli Z. Fern, 2014, 2014 IEEE International Conference on Data Mining Workshop.

Towards learning rules from natural texts

Thomas G. Dietterich, Xiaoli Z. Fern, Janardhan Rao Doppa, 2010, HLT-NAACL 2010.

Dictionary extraction from a collection of spectrograms for bioacoustics monitoring

Xiaoli Z. Fern, Raviv Raich, José Francisco Ruiz-Muñoz, 2015, 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP).

Learning Rules from Incomplete Examples via Implicit Mention Models

Thomas G. Dietterich, Jed Irvine, Xiaoli Z. Fern, 2011, ACML.

Batch Bayesian Optimization via Simulation Matching

Alan Fern, Xiaoli Z. Fern, Javad Azimi, 2010, NIPS.

MIML-AI: Mixed-supervision multi-instance multi-label learning with auxiliary information

Xiaoli Z. Fern, Anh T. Pham, Raviv Raich, 2017, 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP).

Learning multiple nonredundant clusterings

Ying Cui, Jennifer G. Dy, Xiaoli Z. Fern, 2010, TKDD.

A Lipschitz Exploration-Exploitation Scheme for Bayesian Optimization

Ali Jalali, Xiaoli Z. Fern, Javad Azimi, 2012, ECML/PKDD.

Message Passing Neural Networks for Partial Charge Assignment to Metal-Organic Frameworks

Xiaoli Z. Fern, Cory M. Simon, Ali Raza, 2020 .

Dynamic Programming for Instance Annotation in Multi-Instance Multi-Label Learning

Xiaoli Z. Fern, Raviv Raich, Anh T. Pham, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Cluster Ensemble Selection

Xiaoli Z. Fern, Wei Lin, Wei Lin, 2008, Statistical analysis and data mining.

Clustering Ensembles Using Ants Algorithm

Xiaoli Z. Fern, Javad Azimi, Paul Cull, 2009, IWINAC.

Budgeted Optimization with Constrained Experiments

Alan Fern, Xiaoli Z. Fern, Javad Azimi, 2016, J. Artif. Intell. Res..

Learning with Latent Label Hierarchy from Incomplete Multi-Label Data

Xiaoli Z. Fern, Raviv Raich, Yuanli Pei, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

Weakly Supervised Dictionary Learning

Xiaoli Z. Fern, Raviv Raich, Jinsub Kim, 2018, IEEE Transactions on Signal Processing.

Constrained instance clustering in multi-instance multi-label learning

Xiaoli Z. Fern, Yuanli Pei, 2014, Pattern Recognit. Lett..

Confidence-Constrained Maximum Entropy Framework for Learning from Multi-Instance Data pdf

Xiaoli Z. Fern, Raviv Raich, Behrouz Behmardi, 2016, ArXiv.

Online learning of time-frequency patterns

Xiaoli Z. Fern, Raviv Raich, Mauricio Orozco-Alzate, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Computational sustainability

Thomas G. Dietterich, Steve Kelling, Warren B. Powell, 2011, AI Mag..

Active Learning from Relative Comparisons

Rómer Rosales, Xiaoli Z. Fern, Sicheng Xiong, 2015, IEEE Transactions on Knowledge and Data Engineering.

Deep Reading and Learning

Thomas G. Dietterich, Xiaoli Z. Fern, Prasad Tadepalli, 2017 .

Mining problem-solving strategies from HCI data

Margaret M. Burnett, Xiaoli Z. Fern, Valentina Grigoreanu, 2010, TCHI.

Solving cluster ensemble problems by bipartite graph partitioning

Carla E. Brodley, Xiaoli Z. Fern, C. Brodley, 2004, ICML.

Discriminative Clustering with Cardinality Constraints

Xiaoli Z. Fern, Anh T. Pham, Raviv Raich, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Batch Active Learning via Coordinated Matching

Glencora Borradaile, Alan Fern, Xiaoli Z. Fern, 2012, ICML.

Supervised hierarchical segmentation for bird song recording

Xiaoli Z. Fern, Anh T. Pham, Raviv Raich, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Comparing Clustering with Pairwise and Relative Constraints

Rómer Rosales, Xiaoli Z. Fern, Yuanli Pei, 2016, ACM Trans. Knowl. Discov. Data.

Erratum to: Bayesian active clustering with pairwise constraints

Xiaoli Z. Fern, Yuanli Pei, Li-Ping Liu, 2015 .

Discriminative Clustering with Relative Constraints pdf

Rómer Rosales, Xiaoli Z. Fern, Yuanli Pei, 2015, ArXiv.

Context-aware MIML instance annotation: exploiting label correlations with classifier chains

Xiaoli Z. Fern, Raviv Raich, Forrest Briggs, 2015, Knowledge and Information Systems.

Saliency Learning: Teaching the Model Where to Pay Attention pdf

Xiaoli Z. Fern, Prasad Tadepalli, Hamed Shahbazi, 2019, NAACL.

Learning non-redundant codebooks for classifying complex objects

Thomas G. Dietterich, Wei Zhang, Xiaoli Z. Fern, 2009, ICML '09.

Learning Scripts as Hidden Markov Models

Thomas G. Dietterich, Xiaoli Z. Fern, Janardhan Rao Doppa, 2014, AAAI.

The impact of visual appearance on user response in online display advertising

Xiaoli Z. Fern, Yang Zhou, Javad Azimi, 2012, WWW.

Toward Embedding Bayesian Optimization in the Lab: Reasoning about Resource and Actions

Alan Fern, Xiaoli Z. Fern, Nima Dolatnia, 2015, AAAI Fall Symposia.

Description-Based Zero-shot Fine-Grained Entity Typing

Xiaoli Z. Fern, Prasad Tadepalli, Hamed Shahbazi, 2019, NAACL.

Multi-Instance Multi-Label Class Discovery: A Computational Approach for Assessing Bird Biodiversity

Xiaoli Z. Fern, Raviv Raich, Forrest Briggs, 2016, AAAI.

Boosting Lazy Decision Trees

Carla E. Brodley, Xiaoli Z. Fern, C. Brodley, 2003, ICML.

Exploration vs Exploitation in Bayesian Optimization pdf

Ali Jalali, Xiaoli Z. Fern, Javad Azimi, 2012, ArXiv.

Counterfactual Regularization for Model-Based Reinforcement Learning

Xiaoli Z. Fern, Li Fuxin, Lawrence Neal, 2019 .

Simultaneous instance annotation and clustering in multi-instance multi-label learning

Xiaoli Z. Fern, Anh T. Pham, Raviv Raich, 2015, 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP).

Discriminative recurring signal detection and localization

Xiaoli Z. Fern, Raviv Raich, Jinsub Kim, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Syllable-Level Probabilistic Framework for Bird Species Identification

Xiaoli Z. Fern, Raviv Raich, Balaji Lakshminarayanan, 2009, 2009 International Conference on Machine Learning and Applications.

Cross Lingual Mention and Entity Embeddings for Cross-Lingual Entity Disambiguation

Xiaoli Z. Fern, Chao Ma, Prasad Tadepalli, 2016, TAC.

Novelty detection under multi-label multi-instance framework

Xiaoli Z. Fern, Raviv Raich, Forrest Briggs, 2013, 2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

Budgeted Optimization with Concurrent Stochastic-Duration Experiments

Alan Fern, Xiaoli Z. Fern, Javad Azimi, 2011, NIPS.

Bayesian optimization with empirical constraints

Xiaoli Z. Fern, Javad Azimi, 2012 .

Visual appearance of display ads and its effect on click through rate

Xiaoli Z. Fern, Javad Azimi, Ruofei Zhang, 2012, CIKM.

The 9th annual MLSP competition: New methods for acoustic classification of multiple simultaneous bird species in a noisy environment

Grigorios Tsoumakas, Jed Irvine, Heikki Huttunen, 2013, 2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

Audio Classification of Bird Species: A Statistical Manifold Approach

Xiaoli Z. Fern, Raviv Raich, Forrest Briggs, 2009, 2009 Ninth IEEE International Conference on Data Mining.

Inverting Grice's Maxims to Learn Rules from Natural Language Extractions

Thomas G. Dietterich, Xiaoli Z. Fern, Janardhan Rao Doppa, 2011, NIPS.

Taming compiler fuzzers

Alex Groce, Eric Eide, Weng-Keen Wong, 2013, ACM-SIGPLAN Symposium on Programming Language Design and Implementation.

MultiClust 2010: discovering, summarizing and using multiple clusterings

Ian Davidson, Jennifer G. Dy, Xiaoli Z. Fern, 2011, SKDD.

Non-redundant Multi-view Clustering via Orthogonalization

Ying Cui, Jennifer G. Dy, Xiaoli Z. Fern, 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).

Simultaneous segmentation and classification of bird song using CNN

Xiaoli Z. Fern, Raviv Raich, Revathy Narasimhan, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Rank-loss support instance machines for MIML instance annotation

Xiaoli Z. Fern, Raviv Raich, Forrest Briggs, 2012, KDD.

Active Learning of Constraints for Semi-Supervised Clustering

Xiaoli Z. Fern, Javad Azimi, Sicheng Xiong, 2014, IEEE Transactions on Knowledge and Data Engineering.

Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference pdf

Xiaoli Z. Fern, Prasad Tadepalli, Reza Ghaeini, 2018, EMNLP.

Multi-instance multi-label learning in the presence of novel class instances

Xiaoli Z. Fern, Anh T. Pham, Raviv Raich, 2015, ICML.

Dictionary Learning for Bioacoustics Monitoring with Applications to Species Classification

Xiaoli Z. Fern, Raviv Raich, José Francisco Ruiz-Muñoz, 2016, Journal of Signal Processing Systems.

Efficient instance annotation in multi-instance learning

Xiaoli Z. Fern, Anh T. Pham, Raviv Raich, 2014, 2014 IEEE Workshop on Statistical Signal Processing (SSP).

Open Set Learning with Counterfactual Images

Weng-Keen Wong, Xiaoli Z. Fern, Fuxin Li, 2018, ECCV.

Semi-supervised learning in the presence of novel class instances

Xiaoli Z. Fern, Anh T. Pham, Raviv Raich, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Bayesian Optimization with Resource Constraints and Production

Alan Fern, Xiaoli Z. Fern, Nima Dolatnia, 2016, ICAPS.

Open Set Recognition with Generated Data

Weng-Keen Wong, Xiaoli Z. Fern, Fuxin Li, 2018 .

Testing vs. code inspection vs. what else?: male and female end users' debugging strategies

Margaret M. Burnett, Xiaoli Z. Fern, Laura Beckwith, 2008, CHI.

Filter shaping for Convolutional Neural Networks

Xingyi Li, Xiaoli Z. Fern, Raviv Raich, 2016, International Conference on Learning Representations.

Constructing Training Sets for Outlier Detection

Xiaoli Z. Fern, Li-Ping Liu, Li-Ping Liu, 2012, SDM.

Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach

Carla E. Brodley, Xiaoli Z. Fern, C. Brodley, 2003, ICML.

Novelty Detection Under Multi-Instance Multi-Label Framework pdf

Xiaoli Z. Fern, Raviv Raich, Forrest Briggs, 2013, ArXiv.

DR-BiLSTM: Dependent Reading Bidirectional LSTM for Natural Language Inference pdf

Xiaoli Z. Fern, Oladimeji Farri, Yuan Ling, 2018, NAACL.

Attentional Multi-Reading Sarcasm Detection pdf

Xiaoli Z. Fern, Prasad Tadepalli, Reza Ghaeini, 2018, ArXiv.

Myopic Policies for Budgeted Optimization with Constrained Experiments

Hong Liu, Alan Fern, Xiaoli Z. Fern, 2010, AAAI.

Gender Differences in End-User Debugging, Revisited: What the Miners Found

Margaret M. Burnett, Xiaoli Z. Fern, Laura Beckwith, 2006, Visual Languages and Human-Centric Computing (VL/HCC'06).

Weakly Supervised Learning of Multiple-Scale Dictionaries

Xiaoli Z. Fern, Raviv Raich, Jinsub Kim, 2018, 2018 IEEE Statistical Signal Processing Workshop (SSP).

Text Counterfactuals via Latent Optimization and Shapley-Guided Search pdf

Xiaoli Z. Fern, Quintin Pope, Quintin Pope, 2021, EMNLP.

A Recommendation System to Predict Missing Adsorption Properties of Nanoporous Materials

Xiaoli Z. Fern, Cory M. Simon, Ali Raza, 2021, Chemistry of Materials.

An Empirical Study of Bayesian Optimization: Acquisition Versus Partition

Alan Fern, Xiaoli Z. Fern, Nima Dolatnia, 2021, J. Mach. Learn. Res..

Learning Rules from Incomplete Examples via a Probabilistic Mention Model

Thomas G. Dietterich, Xiaoli Z. Fern, Janardhan Rao Doppa, 2011 .

Cluster Ensembles for High Dimensional Clustering: An Empirical Study

Xiaoli Z. Fern, C. Brodley, 2006 .

Optimization of pH and nitrogen for enhanced hydrogen production by Synechocystis sp. PCC 6803 via statistical and machine learning methods

Xiaoli Z. Fern, Weng-Keen Wong, Elizabeth H. Burrows, 2009, Biotechnology progress.

An application of a machine learning algorithm to determine and describe error patterns within wave model output

Xiaoli Z. Fern, Yuanli Pei, Ashley N. Ellenson, 2020 .

IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC 2009, Corvallis, OR, USA, 20-24 September 2009, Proceedings

Margaret Burnett, John Grundy, Xiaoli Z. Fern, 2009, VL/HCC.

An Abstract of the Thesis of Title: on Surrogate Supervision Multi-view Learning on Surrogate Supervision Multi-view Learning Table of Contents

Xiaoli Z. Fern, S. Todorovic, 2022 .

An Abstract of the Project Report of Title: Novelty Detection under the Multi-instance Multi-label Framework Novelty Detection under the Multi-instance Multi-label Framework

Xiaoli Z. Fern, Qi Lou, 2014 .

Metabotypes with elevated protein and lipid catabolism and inflammation precede clinical mastitis in prepartal transition dairy cows.

Xiaoli Z. Fern, C. Maier, F. Zandkarimi, 2018, Journal of dairy science.

A Recommendation System to Predict Missing Adsorption Properties of Nanoporous Materials

Xiaoli Z. Fern, Cory M. Simon, Grant D. McConachie, 2021 .

Message Passing Neural Networks for Partial Charge Assignment to Metal–Organic Frameworks

Xiaoli Z. Fern, Cory M. Simon, Arni Sturluson, 2020, The Journal of Physical Chemistry C.

Classifying the toxicity of pesticides to honey bees via support vector machines with random walk graph kernels.

Xiaoli Z. Fern, Cory M. Simon, Ping Yang, 2022, The Journal of chemical physics.

Dictionary Learning for Bioacoustics Monitoring with Applications to Species Classification

Xiaoli Z. Fern, R. Raich, Zeyu You, 2016, Journal of Signal Processing Systems.

Taming compiler fuzzers

Alex Groce, Eric Eide, Weng-Keen Wong, 2013, PLDI.

Learning Rules from Incomplete Examples: A Pragmatic Approach

Thomas G. Dietterich, Xiaoli Z. Fern, Janardhan Rao Doppa, 2010, HLT-NAACL 2010.

Adaptive Cluster Ensemble Selection

Xiaoli Z. Fern, J. Azimi, 2009, IJCAI.

Learning Rules from Incomplete Examples via Observation Models

Thomas G. Dietterich, Jed Irvine, Xiaoli Z. Fern, 2011 .

Improving the Robustness of Point Convolution on k-Nearest Neighbor Neighborhoods with a Viewpoint-Invariant Coordinate Transform

Xiaoli Z. Fern, Li Fuxin, Xingyi Li, 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

The Devils in the Point Clouds: Studying the Robustness of Point Cloud Convolutions

Xiaoli Z. Fern, Li Fuxin, Xingyi Li, 2021, ArXiv.

Non-equilibrium molecular geometries in graph neural networks

Xiaoli Z. Fern, Ali Raza, E. Henle, 2022, ArXiv.

PoreMatMod.jl: Julia Package for in Silico Postsynthetic Modification of Crystal Structure Models

Xiaoli Z. Fern, Cory M. Simon, N. Gantzler, 2021, J. Chem. Inf. Model..

Learning a deep language model for microbiomes: the power of large scale unlabeled microbiome data

Xiaoli Z. Fern, M. David, R. Varma, 2023, bioRxiv.

Acoustic classification of multiple simultaneous bird species: a multi-instance multi-label approach.

Xiaoli Z. Fern, Raviv Raich, Balaji Lakshminarayanan, 2012, The Journal of the Acoustical Society of America.

A Novel Attribute-Based Symmetric Multiple Instance Learning for Histopathological Image Analysis

Xiaoli Z. Fern, Raviv Raich, Anh T. Pham, 2020, IEEE Transactions on Medical Imaging.

Event Detection with Neural Networks: A Rigorous Empirical Evaluation

Xiaoli Z. Fern, J. W. Orr, P. Tadepalli, 2018, EMNLP.

Improving Grasp Classification through Spatial Metrics Available from Sensors

Xiaoli Z. Fern, Cindy Grimm, Ravi Balasubramanian, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Non-injective gas sensor arrays: identifying undetectable composition changes

Xiaoli Z. Fern, Cory M. Simon, N. Gantzler, 2021, Journal of physics. Condensed matter : an Institute of Physics journal.

Identifying gas composition changes to which non-injective gas sensor arrays are unresponsive

Xiaoli Z. Fern, Cory M. Simon, N. Gantzler, 2021 .

LEARNING OF TIME-FREQUENCY PATTERNS

Xiaoli Z. Fern, M. Orozco-Alzate, R. Raich, 2017 .

Towards explainable message passing networks for predicting carbon dioxide adsorption in metal-organic frameworks pdf

Xiaoli Z. Fern, Cory M. Simon, Cory Simon, 2020, ArXiv.