# Yanjun Qi

According to our database1, Yanjun Qi authored at least 77 papers between 2001 and 2020.

Collaborative distances:

Book
In proceedings
Article
PhD thesis
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## Bibliography

2020
TextAttack: A Framework for Adversarial Attacks in Natural Language Processing.
CoRR, 2020

Reevaluating Adversarial Examples in Natural Language.
CoRR, 2020

Differential Network Learning Beyond Data Samples.
CoRR, 2020

Curriculum Labeling: Self-paced Pseudo-Labeling for Semi-Supervised Learning.
CoRR, 2020

2019
Transfer String Kernel for Cross-Context DNA-Protein Binding Prediction.
IEEE/ACM Trans. Comput. Biology Bioinform., 2019

Neural Message Passing for Multi-label Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018
DeepDiff: DEEP-learning for predicting DIFFerential gene expression from histone modifications.
Bioinform., 2018

Black-Box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers.
Proceedings of the 2018 IEEE Security and Privacy Workshops, 2018

Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks.
Proceedings of the 25th Annual Network and Distributed System Security Symposium, 2018

A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models.
Proceedings of the 35th International Conference on Machine Learning, 2018

ACM-BCB'18 Tutorial: Making Deep Learning Understandable for Analyzing Sequential Data about Gene Regulation.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

CloudInsight: Utilizing a Council of Experts to Predict Future Cloud Application Workloads.
Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018

2017
A constrained $$\ell$$ ℓ 1 minimization approach for estimating multiple sparse Gaussian or nonparanormal graphical models.
Mach. Learn., 2017

Prototype Matching Networks for Large-Scale Multi-label Genomic Sequence Classification.
CoRR, 2017

A Constrained, Weighted-L1 Minimization Approach for Joint Discovery of Heterogeneous Neural Connectivity Graphs.
CoRR, 2017

Feature Squeezing Mitigates and Detects Carlini/Wagner Adversarial Examples.
CoRR, 2017

Adversarial-Playground: A Visualization Suite for Adversarial Sample Generation.
CoRR, 2017

CoRR, 2017

Style Transfer Generative Adversarial Networks: Learning to Play Chess Differently.
CoRR, 2017

Adversarial-Playground: A visualization suite showing how adversarial examples fool deep learning.
Proceedings of the 2017 IEEE Symposium on Visualization for Cyber Security, 2017

Deep Motif Dashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks.
Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017

GaKCo: A Fast Gapped k-mer String Kernel Using Counting.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

A Theoretical Framework for Robustness of (Deep) Classifiers against Adversarial Samples.
Proceedings of the 5th International Conference on Learning Representations, 2017

Memory Matching Networks for Genomic Sequence Classification.
Proceedings of the 5th International Conference on Learning Representations, 2017

DeepCloak: Masking Deep Neural Network Models for Robustness Against Adversarial Samples.
Proceedings of the 5th International Conference on Learning Representations, 2017

A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Kernelized Information-Theoretic Metric Learning for Cancer Diagnosis Using High-Dimensional Molecular Profiling Data.
ACM Trans. Knowl. Discov. Data, 2016

Causality Analysis of Inertial Body Sensors for Multiple Sclerosis Diagnostic Enhancement.
IEEE J. Biomed. Health Informatics, 2016

Piecewise Linear Dynamical Model for Action Clustering from Real-World Deployments of Inertial Body Sensors.
IEEE Trans. Affect. Comput., 2016

A constrained L1 minimization approach for estimating multiple Sparse Gaussian or Nonparanormal Graphical Models.
CoRR, 2016

A Theoretical Framework for Robustness of (Deep) Classifiers Under Adversarial Noise.
CoRR, 2016

Deep GDashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks.
CoRR, 2016

Deep Motif: Visualizing Genomic Sequence Classifications.
CoRR, 2016

DeepChrome: deep-learning for predicting gene expression from histone modifications.
Bioinform., 2016

Automatically Evading Classifiers: A Case Study on PDF Malware Classifiers.
Proceedings of the 23rd Annual Network and Distributed System Security Symposium, 2016

Character based String Kernels for Bio-Entity Relation Detection.
Proceedings of the 15th Workshop on Biomedical Natural Language Processing, 2016

MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-Based Protein Structure Prediction.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Empirical Evaluation of Workload Forecasting Techniques for Predictive Cloud Resource Scaling.
Proceedings of the 9th IEEE International Conference on Cloud Computing, 2016

2015
Refining Literature Curated Protein Interactions Using Expert Opinions.
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015

Association Rule Mining with the Micron Automata Processor.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

MAPer: A Multi-scale Adaptive Personalized Model for Temporal Human Behavior Prediction.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Causal analysis of inertial body sensors for enhancing gait assessment separability towards multiple sclerosis diagnosis.
Proceedings of the 12th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2015

2014
Unsupervised Feature Learning by Deep Sparse Coding.
Proceedings of the 2nd International Conference on Learning Representations, 2014

Comprehensive Elastic Resource Management to Ensure Predictable Performance for Scientific Applications on Public IaaS Clouds.
Proceedings of the 7th IEEE/ACM International Conference on Utility and Cloud Computing, 2014

Extracting Researcher Metadata with Labeled Features.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

An Integrated Approach To Blood-Based Cancer Diagnosis And Biomarker Discovery.
Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014

Deep Learning for Character-Based Information Extraction.
Proceedings of the Advances in Information Retrieval, 2014

Piecewise Linear Dynamical Model for Actions Clustering from Inertial Body Sensors with Considerations of Human Factors.
Proceedings of the 9th International Conference on Body Area Networks, 2014

2012
Retrieving Medical Records with "sennamed": NEC Labs America at TREC 2012 Medical Record Track.
Proceedings of The Twenty-First Text REtrieval Conference, 2012

Determining Confidence of Predicted Interactions Between HIV-1 and Human Proteins Using Conformal Method.
Proceedings of the Biocomputing 2012: Proceedings of the Pacific Symposium, 2012

Sentiment Classification with Supervised Sequence Embedding.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Learning the Dependency Structure of Latent Factors.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Large-scale image classification using supervised spatial encoder.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011
Semi-Supervised Convolution Graph Kernels for Relation Extraction.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Sparse Latent Semantic Analysis.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Sentiment classification based on supervised latent n-gram analysis.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Protein Interaction Networks: Protein Domain Interaction and Protein Function Prediction.
Proceedings of the Handbook of Statistical Bioinformatics., 2011

2010
Learning to rank with (a lot of) word features.
Inf. Retr., 2010

Semi-supervised multi-task learning for predicting interactions between HIV-1 and human proteins.
Bioinform., 2010

Semi-supervised Bio-named Entity Recognition with Word-Codebook Learning.
Proceedings of the SIAM International Conference on Data Mining, 2010

Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Learning Preferences with Millions of Parameters by Enforcing Sparsity.
Proceedings of the ICDM 2010, 2010

2009
Prediction of Interactions Between HIV-1 and Human Proteins by Information Integration.
Proceedings of the Biocomputing 2009: Proceedings of the Pacific Symposium, 2009

Polynomial Semantic Indexing.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Semi-Supervised Sequence Labeling with Self-Learned Features.
Proceedings of the ICDM 2009, 2009

Combining labeled and unlabeled data with word-class distribution learning.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Supervised semantic indexing.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Protein complex identification by supervised graph local clustering.
Proceedings of the Proceedings 16th International Conference on Intelligent Systems for Molecular Biology (ISMB), 2008

2007
A mixture of feature experts approach for protein-protein interaction prediction.
BMC Bioinform., 2007

2005
Random Forest Similarity for Protein-Protein Interaction Prediction from Multiple Sources.
Proceedings of the Biocomputing 2005, 2005

2004
Automated Analysis of Nursing Home Observations.
IEEE Pervasive Comput., 2004

2003
Supervised classification for video shot segmentation.
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

2002
Video Classification and Retrieval with the Informedia Digital Video Library System.
Proceedings of The Eleventh Text REtrieval Conference, 2002

A Probabilistic Model for Camera Zoom Detection.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

2001
Video Retrieval with the Informedia Digital Video Library System.
Proceedings of The Tenth Text REtrieval Conference, 2001