Xiaoli Z. Fern

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 56

Top Venues

CoRR

ICASSP

MLSP

AAAI

Publications

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)
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) (2022)
Ali Raza, E. Adrian Henle, Xiaoli Z. Fern
Non-equilibrium molecular geometries in graph neural networks. CoRR (2022)
Xingyi Li, Wenxuan Wu, Xiaoli Z. Fern, Fuxin Li
The Devils in the Point Clouds: Studying the Robustness of Point Cloud Convolutions. CoRR (2021)
Quintin Pope, Xiaoli Z. Fern
Text Counterfactuals via Latent Optimization and Shapley-Guided Search. CoRR (2021)
Xiaoli Z. Fern, Quintin Pope
Text Counterfactuals via Latent Optimization and Shapley-Guided Search. EMNLP (1) (2021)
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)
Erich Merrill, Alan Fern, Xiaoli Z. Fern, Nima Dolatnia
An Empirical Study of Bayesian Optimization: Acquisition Versus Partition. J. Mach. Learn. Res. 22 (2021)
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 (2020)
Hamed Shahbazi, Xiaoli Z. Fern, Reza Ghaeini, Prasad Tadepalli
Relation Extraction with Explanation. CoRR (2020)
Trung Vu, Phung Lai, Raviv Raich, Anh T. Pham, Xiaoli Z. Fern, U. K. Arvind Rao
A Novel Attribute-Based Symmetric Multiple Instance Learning for Histopathological Image Analysis. IEEE Trans. Medical Imaging 39 (10) (2020)
Xingyi Li, Zhongang Qi, Xiaoli Z. Fern, Fuxin Li
ScaleNet - Improve CNNs through Recursively Rescaling Objects. AAAI (2020)
Hamed Shahbazi, Xiaoli Z. Fern, Reza Ghaeini, Prasad Tadepalli
Relation Extraction with Explanation. ACL (2020)
Reza Ghaeini, Xiaoli Z. Fern, Hamed Shahbazi, Prasad Tadepalli
Saliency Learning: Teaching the Model Where to Pay Attention. NAACL-HLT (1) (2019)
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) (2019)
Rasha Obeidat, Xiaoli Z. Fern, Hamed Shahbazi, Prasad Tadepalli
Description-Based Zero-shot Fine-Grained Entity Typing. NAACL-HLT (1) (2019)
Reza Ghaeini, Xiaoli Z. Fern, Hamed Shahbazi, Prasad Tadepalli
Saliency Learning: Teaching the Model Where to Pay Attention. CoRR (2019)
Hamed Shahbazi, Xiaoli Z. Fern, Reza Ghaeini, Rasha Obeidat, Prasad Tadepalli
Entity-aware ELMo: Learning Contextual Entity Representation for Entity Disambiguation. CoRR (2019)
Hamed Shahbazi, Xiaoli Z. Fern, Reza Ghaeini, Chao Ma, Rasha Obeidat, Prasad Tadepalli
Joint Neural Entity Disambiguation with Output Space Search. CoRR (2018)
Zeyu You, Raviv Raich, Xiaoli Z. Fern, Jinsub Kim
Weakly-supervised Dictionary Learning. CoRR (2018)
Anh T. Pham, Raviv Raich, Xiaoli Z. Fern, Weng-Keen Wong, Xinze Guan
Discriminative Probabilistic Framework for Generalized Multi-Instance Learning. ICASSP (2018)
Reza Ghaeini, Xiaoli Z. Fern, Prasad Tadepalli
Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference. EMNLP (2018)
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)
Hamed Shahbazi, Xiaoli Z. Fern, Reza Ghaeini, Chao Ma, Rasha Mohammad Obeidat, Prasad Tadepalli
Joint Neural Entity Disambiguation with Output Space Search. COLING (2018)
John Walker Orr, Prasad Tadepalli, Janardhan Rao Doppa, Xiaoli Z. Fern, Thomas G. Dietterich
Learning Scripts as Hidden Markov Models. CoRR (2018)
Zeyu You, Raviv Raich, Xiaoli Z. Fern, Jinsub Kim
Weakly Supervised Learning of Multiple-Scale Dictionaries. SSP (2018)
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) (2018)
John Walker Orr, Prasad Tadepalli, Xiaoli Z. Fern
Event Detection with Neural Networks: A Rigorous Empirical Evaluation. CoRR (2018)
Reza Ghaeini, Xiaoli Z. Fern, Prasad Tadepalli
Attentional Multi-Reading Sarcasm Detection. CoRR (2018)
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 (2018)
Zeyu You, Raviv Raich, Xiaoli Z. Fern, Jinsub Kim
Weakly Supervised Dictionary Learning. IEEE Trans. Signal Process. 66 (10) (2018)
Reza Ghaeini, Xiaoli Z. Fern, Hamed Shahbazi, Prasad Tadepalli
Dependent Gated Reading for Cloze-Style Question Answering. COLING (2018)
Anh T. Pham, Raviv Raich, Xiaoli Z. Fern
Discriminative Clustering with Cardinality Constraints. ICASSP (2018)
John Walker Orr, Prasad Tadepalli, Xiaoli Z. Fern
Event Detection with Neural Networks: A Rigorous Empirical Evaluation. EMNLP (2018)
Reza Ghaeini, Xiaoli Z. Fern, Hamed Shahbazi, Prasad Tadepalli
Dependent Gated Reading for Cloze-Style Question Answering. CoRR (2018)
Reza Ghaeini, Xiaoli Z. Fern, Prasad Tadepalli
Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference. CoRR (2018)
Lawrence Neal, Matthew L. Olson, Xiaoli Z. Fern, Weng-Keen Wong, Fuxin Li
Open Set Learning with Counterfactual Images. ECCV (6) (2018)
Yuanli Pei, Xiaoli Z. Fern, Raviv Raich
Learning with Latent Label Hierarchy from Incomplete Multi-Label Data. ICPR (2018)
Reza Ghaeini, Xiaoli Z. Fern, Liang Huang, Prasad Tadepalli
Event Nugget Detection with Forward-Backward Recurrent Neural Networks. CoRR (2018)
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) (2017)
Xingyi Li, Fuxin Li, Xiaoli Z. Fern, Raviv Raich
Filter shaping for Convolutional Neural Networks. ICLR (Poster) (2017)
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)
Tarn Nguyen, Raviv Raich, Xiaoli Z. Fern, Anh T. Pham
MIML-AI: Mixed-supervision multi-instance multi-label learning with auxiliary information. MLSP (2017)
José Francisco Ruiz-Muñoz, Raviv Raich, Mauricio Orozco-Alzate, Xiaoli Z. Fern
Online learning of time-frequency patterns. ICASSP (2017)
Zeyu You, Raviv Raich, Xiaoli Z. Fern, Jinsub Kim
Discriminative recurring signal detection and localization. ICASSP (2017)
Revathy Narasimhan, Xiaoli Z. Fern, Raviv Raich
Simultaneous segmentation and classification of bird song using CNN. ICASSP (2017)
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich, Matthew Betts
Multi-Instance Multi-Label Class Discovery: A Computational Approach for Assessing Bird Biodiversity. AAAI (2016)
Zeyu You, Raviv Raich, Xiaoli Z. Fern, Jinsub Kim
Weakly-supervised analysis dictionary learning with cardinality constraints. SSP (2016)
Hamed Shahbazi, Chao Ma, Xiaoli Z. Fern, Prasad Tadepalli
Cross Lingual Mention and Entity Embeddings for Cross-Lingual Entity Disambiguation. TAC (2016)
Nima Dolatnia, Alan Fern, Xiaoli Z. Fern
Bayesian Optimization with Resource Constraints and Production. ICAPS (2016)
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) (2016)
Anh T. Pham, Raviv Raich, Xiaoli Z. Fern
Semi-supervised learning in the presence of novel class instances. ICASSP (2016)
Behrouz Behmardi, Forrest Briggs, Xiaoli Z. Fern, Raviv Raich
Confidence-Constrained Maximum Entropy Framework for Learning from Multi-Instance Data. CoRR (2016)
Reza Ghaeini, Xiaoli Z. Fern, Liang Huang, Prasad Tadepalli
Event Nugget Detection with Forward-Backward Recurrent Neural Networks. ACL (2) (2016)
Rasha Obeidat, Xiaoli Z. Fern, Prasad Tadepalli
Label Embedding Approach for Transfer Learning. ICBO/BioCreative (2016)
Javad Azimi, Xiaoli Z. Fern, Alan Fern
Budgeted Optimization with Constrained Experiments. J. Artif. Intell. Res. 56 (2016)
Teresa Vania Tjahja, Xiaoli Z. Fern, Raviv Raich, Anh T. Pham
Supervised hierarchical segmentation for bird song recording. ICASSP (2015)
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)
Nima Dolatnia, Alan Fern, Xiaoli Z. Fern
Toward Embedding Bayesian Optimization in the Lab: Reasoning about Resource and Actions. AAAI Fall Symposia (2015)
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich
Context-aware MIML instance annotation: exploiting label correlations with classifier chains. Knowl. Inf. Syst. 43 (1) (2015)
José Francisco Ruiz-Muñoz, Zeyu You, Raviv Raich, Xiaoli Z. Fern
Dictionary extraction from a collection of spectrograms for bioacoustics monitoring. MLSP (2015)
Sicheng Xiong, Yuanli Pei, Rómer Rosales, Xiaoli Z. Fern
Active Learning from Relative Comparisons. IEEE Trans. Knowl. Data Eng. 27 (12) (2015)
Anh T. Pham, Raviv Raich, Xiaoli Z. Fern
Simultaneous instance annotation and clustering in multi-instance multi-label learning. MLSP (2015)
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)
Yuanli Pei, Xiaoli Z. Fern, Rómer Rosales, Teresa Vania Tjahja
Discriminative Clustering with Relative Constraints. CoRR (2015)
Yuanli Pei, Li-Ping Liu, Xiaoli Z. Fern
Bayesian Active Clustering with Pairwise Constraints. ECML/PKDD (1) (2015)
Anh T. Pham, Raviv Raich, Xiaoli Z. Fern
Dynamic Programming for Instance Annotation in Multi-instance Multi-label Learning. CoRR (2014)
Sicheng Xiong, Javad Azimi, Xiaoli Z. Fern
Active Learning of Constraints for Semi-Supervised Clustering. IEEE Trans. Knowl. Data Eng. 26 (1) (2014)
Yuanli Pei, Xiaoli Z. Fern
Constrained instance clustering in multi-instance multi-label learning. Pattern Recognit. Lett. 37 (2014)
John Walker Orr, Prasad Tadepalli, Janardhan Rao Doppa, Xiaoli Z. Fern, Thomas G. Dietterich
Learning Scripts as Hidden Markov Models. AAAI (2014)
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)
Yuanli Pei, Arpit Christi, Xiaoli Z. Fern, Alex Groce, Weng-Keen Wong
Taming a Fuzzer Using Delta Debugging Trails. ICDM Workshops (2014)
Anh T. Pham, Raviv Raich, Xiaoli Z. Fern
Efficient instance annotation in multi-instance learning. SSP (2014)
Sicheng Xiong, Rómer Rosales, Yuanli Pei, Xiaoli Z. Fern
Active Metric Learning from Relative Comparisons. CoRR (2014)
Yang Chen, Alex Groce, Chaoqiang Zhang, Weng-Keen Wong, Xiaoli Z. Fern, Eric Eide, John Regehr
Taming compiler fuzzers. PLDI (2013)
Qi Lou, Raviv Raich, Forrest Briggs, Xiaoli Z. Fern
Novelty detection under multi-label multi-instance framework. MLSP (2013)
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich, Qi Lou
Instance Annotation for Multi-Instance Multi-Label Learning. ACM Trans. Knowl. Discov. Data 7 (3) (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. MLSP (2013)
Forrest Briggs, Xiaoli Z. Fern, Jed Irvine
Multi-Label Classifier Chains for Bird Sound CoRR (2013)
Ali Jalali, Javad Azimi, Xiaoli Z. Fern, Ruofei Zhang
A Lipschitz Exploration-Exploitation Scheme for Bayesian Optimization. ECML/PKDD (1) (2013)
Qi Lou, Raviv Raich, Forrest Briggs, Xiaoli Z. Fern
Novelty Detection Under Multi-Instance Multi-Label Framework. CoRR (2013)
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich
Context-Aware MIML Instance Annotation. ICDM (2013)
Behrouz Behmardi, Forrest Briggs, Xiaoli Z. Fern, Raviv Raich
Regularized joint density estimation for multi-instance learning. SSP (2012)
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 (2012)
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich
Rank-loss support instance machines for MIML instance annotation. KDD (2012)
Javad Azimi, Ali Jalali, Xiaoli Z. Fern
Hybrid Batch Bayesian Optimization CoRR (2012)
Ali Jalali, Javad Azimi, Xiaoli Z. Fern
Exploration vs Exploitation in Bayesian Optimization CoRR (2012)
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)
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)
Li-Ping Liu, Xiaoli Z. Fern
Constructing Training Sets for Outlier Detection. SDM (2012)
Lawrence Neal, Forrest Briggs, Raviv Raich, Xiaoli Z. Fern
Time-frequency segmentation of bird song in noisy acoustic environments. ICASSP (2011)
Javad Azimi, Alan Fern, Xiaoli Z. Fern
Budgeted Optimization with Concurrent Stochastic-Duration Experiments. NIPS (2011)
Javad Azimi, Ali Jalali, Xiaoli Z. Fern
Dynamic Batch Bayesian Optimization CoRR (2011)
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)
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)
Ying Cui, Xiaoli Z. Fern, Jennifer G. Dy
Learning multiple nonredundant clusterings. ACM Trans. Knowl. Discov. Data 4 (3) (2010)
Xiaoli Z. Fern, Ian Davidson, Jennifer G. Dy
MultiClust 2010: discovering, summarizing and using multiple clusterings. SIGKDD Explor. 12 (2) (2010)
Xiaoli Z. Fern, Chaitanya Komireddy, Valentina Grigoreanu, Margaret M. Burnett
Mining problem-solving strategies from HCI data. ACM Trans. Comput. Hum. Interact. 17 (1) (2010)
Javad Azimi, Alan Fern, Xiaoli Z. Fern
Batch Bayesian Optimization via Simulation Matching. NIPS (2010)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xiaoli Z. Fern