Yanjun Qi

发表

Black-Box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers

Yanjun Qi, Mary Lou Soffa, Ji Gao, 2018, 2018 IEEE Security and Privacy Workshops (SPW).

Designing and implementation of STB SOPCA's software modules

Yanjun Qi, Yuzhuo Zhong, Shi-Qiang Yang, 2000, SPIE Optics East.

Protein Interaction Networks: Protein Domain Interaction and Protein Function Prediction

Yanjun Qi, William Stafford Noble, Yanjun Qi, 2011, Handbook of Statistical Bioinformatics.

Learning Preferences with Millions of Parameters by Enforcing Sparsity

Xi Chen, Yanjun Qi, Jaime G. Carbonell, 2010, 2010 IEEE International Conference on Data Mining.

Deep Learning for Character-Based Information Extraction

Yanjun Qi, Jason Weston, Ronan Collobert, 2014, ECIR.

Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction

Yanjun Qi, Vladimir Pavlovic, Jason Weston, 2010, ECML/PKDD.

Random Forest Similarity for Protein-Protein Interaction Prediction from Multiple Sources

Yanjun Qi, Ziv Bar-Joseph, Judith Klein-Seetharaman, 2004, Pacific Symposium on Biocomputing.

Video Retrieval with the Informedia Digital Video Library System

Yanjun Qi, Tobun Dorbin Ng, Rong Jin, 2001, TREC.

MCTSBug: Generating Adversarial Text Sequences via Monte Carlo Tree Search and Homoglyph Attack

Yanjun Qi, Ji Gao, Jack Lanchantin, 2018 .

Sentiment Classification with Supervised Sequence Embedding

Yanjun Qi, Ali Shokoufandeh, Bing Bai, 2012, ECML/PKDD.

Prediction of Interactions Between HIV-1 and Human Proteins by Information Integration

Yanjun Qi, Jaime G. Carbonell, Judith Klein-Seetharaman, 2008, Pacific Symposium on Biocomputing.

Refining Literature Curated Protein Interactions Using Expert Opinions

Yanjun Qi, Jaime G. Carbonell, Judith Klein-Seetharaman, 2014, Pacific Symposium on Biocomputing.

Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure

Beilun Wang, Arshdeep Sekhon, Yanjun Qi, 2017, AISTATS.

Retrieving Medical Records with "sennamed": NEC Labs America at TREC 2012 Medical Record Track

Yanjun Qi, Pierre-François Laquerre, 2012, TREC.

Research on routing algorithm based on energy threshold in wirsless sensor network

Yanjun Qi, Qiang Li, Wenli Ji, 2012 .

Supervised classification for video shot segmentation

Yanjun Qi, Ting Liu, Alexander G. Hauptmann, 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

Protein complex identification by supervised graph local clustering

Yanjun Qi, Christos Faloutsos, Ziv Bar-Joseph, 2008, ISMB.

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

Beilun Wang, Yanjun Qi, Chandan Singh, 2017, ArXiv.

Semi-Supervised Sequence Labeling with Self-Learned Features

Yanjun Qi, Jason Weston, Koray Kavukcuoglu, 2009, 2009 Ninth IEEE International Conference on Data Mining.

MUST-CNN: A Multilayer Shift-and-Stitch Deep Convolutional Architecture for Sequence-Based Protein Structure Prediction

Yanjun Qi, Zeming Lin, Jack Lanchantin, 2016, AAAI.

Feature Squeezing Mitigates and Detects Carlini/Wagner Adversarial Examples pdf

Yanjun Qi, David Evans, Weilin Xu, 2017, ArXiv.

Style Transfer Generative Adversarial Networks: Learning to Play Chess Differently pdf

Yanjun Qi, Muthuraman Chidambaram, Yanjun Qi, 2017, ArXiv.

A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models

Beilun Wang, Yanjun Qi, Ji Gao, 2017, AISTATS.

Determining Confidence of Predicted Interactions Between HIV-1 and Human Proteins Using Conformal Method

Yanjun Qi, Judith Klein-Seetharaman, Alexander Gammerman, 2011, Pacific Symposium on Biocomputing.

Comprehensive Elastic Resource Management to Ensure Predictable Performance for Scientific Applications on Public IaaS Clouds

Yanjun Qi, Marty Humphrey, Jacob Steele, 2014, 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing.

Causal analysis of inertial body sensors for enhancing gait assessment separability towards multiple sclerosis diagnosis

Yanjun Qi, John Lach, Jiaqi Gong, 2015, 2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN).

Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin

Arshdeep Sekhon, Yanjun Qi, Ritambhara Singh, 2017, bioRxiv.

Piecewise Linear Dynamical Model for Actions Clustering from Inertial Body Sensors with Considerations of Human Factors

Yanjun Qi, Philip Asare, John Lach, 2014, BODYNETS.

DeepDiff: DEEP‐learning for predicting DIFFerential gene expression from histone modifications

Arshdeep Sekhon, Yanjun Qi, Ritambhara Singh, 2018, Bioinform..

Semi-supervised Bio-named Entity Recognition with Word-Codebook Learning

Yanjun Qi, Pavel P. Kuksa, 2010, SDM.

Combining labeled and unlabeled data with word-class distribution learning

Yanjun Qi, Jason Weston, Koray Kavukcuoglu, 2009, CIKM.

A constrained $$\ell $$ℓ1 minimization approach for estimating multiple sparse Gaussian or nonparanormal graphical models

Beilun Wang, Yanjun Qi, Ritambhara Singh, 2016, Machine Learning.

Supervised semantic indexing

Yanjun Qi, Jason Weston, Bing Bai, 2009, ECIR.

Adding Extra Knowledge in Scalable Learning of Sparse Differential Gaussian Graphical Models

Beilun Wang, Arshdeep Sekhon, Yanjun Qi, 2019 .

Unsupervised Feature Learning by Deep Sparse Coding

Yanjun Qi, Koray Kavukcuoglu, Yun Wang, 2013, SDM.

Sparse Latent Semantic Analysis

Xi Chen, Yanjun Qi, Jaime G. Carbonell, 2011, SDM.

Piecewise Linear Dynamical Model for Action Clustering from Real-World Deployments of Inertial Body Sensors

Yanjun Qi, Philip Asare, John Lach, 2016, IEEE Transactions on Affective Computing.

Semi-Supervised Convolution Graph Kernels for Relation Extraction

Yanjun Qi, Xia Ning, 2011, SDM.

Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks pdf

Yanjun Qi, David Evans, Weilin Xu, 2017, NDSS.

Large-scale image classification using supervised spatial encoder

Yanjun Qi, Ali Shokoufandeh, Bing Bai, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

GaKCo: a Fast Gapped k-mer string Kernel using Counting pdf

Beilun Wang, Arshdeep Sekhon, Yanjun Qi, 2017, bioRxiv.

Deep Motif Dashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks

Beilun Wang, Yanjun Qi, Ritambhara Singh, 2016, PSB.

Video Classification and Retrieval with the Informedia Digital Video Library System

Yanjun Qi, Rong Yan, Tobun Dorbin Ng, 2002, TREC.

Automated analysis of nursing home observations

Yanjun Qi, Rong Yan, Howard D. Wactlar, 2004, IEEE Pervasive Computing.

Transfer String Kernel for Cross-Context DNA-Protein Binding Prediction

Yanjun Qi, Gabriel Robins, Ritambhara Singh, 2016, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

An Integrated Approach To Blood-Based Cancer Diagnosis And Biomarker Discovery

Yanjun Qi, Rachel Ostroff, Martin Renqiang Min, 2013, Pacific Symposium on Biocomputing.

Evaluation of data acquisition geometries and strategies for myocardial SPECT imaging

Yanjun Qi, Eric C. Frey, Benjamin M. W. Tsui, 2001, 2001 IEEE Nuclear Science Symposium Conference Record (Cat. No.01CH37310).

DeepCloak: Masking Deep Neural Network Models for Robustness Against Adversarial Samples

Beilun Wang, Yanjun Qi, Ji Gao, 2017, ICLR.

A Unified Multitask Architecture for Predicting Local Protein Properties

Yanjun Qi, Jason Weston, William Stafford Noble, 2012, PloS one.

Adversarial-Playground: A Visualization Suite for Adversarial Sample Generation pdf

Yanjun Qi, Andrew P. Norton, 2017, ArXiv.

Learning the Dependency Structure of Latent Factors

Yanjun Qi, Koray Kavukcuoglu, Haesun Park, 2012, NIPS.

Kernelized Information-Theoretic Metric Learning for Cancer Diagnosis Using High-Dimensional Molecular Profiling Data

Beilun Wang, Yanjun Qi, Moshe Kam, 2016, ACM Trans. Knowl. Discov. Data.

Neural Message Passing for Multi-Label Classification

Arshdeep Sekhon, Yanjun Qi, Jack Lanchantin, 2019, ECML/PKDD.

DeepChrome: deep-learning for predicting gene expression from histone modifications

Yanjun Qi, Gabriel Robins, Ritambhara Singh, 2016, Bioinform..

A Theoretical Framework for Robustness of (Deep) Classifiers against Adversarial Examples

Beilun Wang, Yanjun Qi, Ji Gao, 2016, ICLR 2017.

Deep GDashboard: Visualizing and Understanding Genomic Sequences Using Deep Neural Networks pdf

Beilun Wang, Yanjun Qi, Ritambhara Singh, 2016, ArXiv.

Memory Matching Networks for Genomic Sequence Classification pdf

Yanjun Qi, Ritambhara Singh, Jack Lanchantin, 2017, ICLR.

Prototype Matching Networks for Large-Scale Multi-label Genomic Sequence Classification pdf

Arshdeep Sekhon, Yanjun Qi, Ritambhara Singh, 2017, ArXiv.

Automatically Evading Classifiers: A Case Study on PDF Malware Classifiers

Yanjun Qi, David Evans, Weilin Xu, 2016, NDSS.

A probabilistic model for camera zoom detection

Yanjun Qi, Rong Jin, Alexander G. Hauptmann, 2002, Object recognition supported by user interaction for service robots.

ACM-BCB'18 Tutorial: Making Deep Learning Understandable for Analyzing Sequential Data about Gene Regulation

Yanjun Qi, 2018, BCB.

Learning to rank with (a lot of) word features

Yanjun Qi, Jason Weston, Bing Bai, 2010, Information Retrieval.

Deep Motif: Visualizing Genomic Sequence Classifications pdf

Yanjun Qi, Zeming Lin, Ritambhara Singh, 2016, ArXiv.

Empirical Evaluation of Workload Forecasting Techniques for Predictive Cloud Resource Scaling

Yanjun Qi, Wei Wang, Marty Humphrey, 2016, 2016 IEEE 9th International Conference on Cloud Computing (CLOUD).

CloudInsight: Utilizing a Council of Experts to Predict Future Cloud Application Workloads

Yanjun Qi, Wei Wang, Marty Humphrey, 2018, 2018 IEEE 11th International Conference on Cloud Computing (CLOUD).

Sentiment classification based on supervised latent n-gram analysis

Yanjun Qi, Ali Shokoufandeh, Bing Bai, 2011, CIKM '11.

MAPer: A Multi-scale Adaptive Personalized Model for Temporal Human Behavior Prediction

Yanjun Qi, John A. Stankovic, Sarah Masud Preum, 2015, CIKM.

Causality Analysis of Inertial Body Sensors for Multiple Sclerosis Diagnostic Enhancement

Yanjun Qi, John Lach, Jiaqi Gong, 2016, IEEE Journal of Biomedical and Health Informatics.

Association Rule Mining with the Micron Automata Processor

Yanjun Qi, Kevin Skadron, Mircea R. Stan, 2015, 2015 IEEE International Parallel and Distributed Processing Symposium.

Extracting Researcher Metadata with Labeled Features

Yanjun Qi, C. Lee Giles, Prasenjit Mitra, 2014, SDM.

Polynomial Semantic Indexing

Yanjun Qi, Jason Weston, Bing Bai, 2009, NIPS.

Character based String Kernels for Bio-Entity Relation Detection

Yanjun Qi, Ritambhara Singh, Yanjun Qi, 2016, BioNLP@ACL.

Towards Automatic Actor-Critic Solutions to Continuous Control pdf

Yanjun Qi, Jake Grigsby, Jin Yong Yoo, 2021, ArXiv.

Evolving Image Compositions for Feature Representation Learning pdf

Arshdeep Sekhon, Yanjun Qi, Vicente Ordonez, 2021, ArXiv.

A Mixture of Experts Approach for Protein-Protein Interaction Prediction

Yanjun Qi, Ziv Bar-Joseph, Judith Klein-Seetharaman, 2005 .

Systematic prediction of human membrane receptor interactions

Yanjun Qi, Ziv Bar-Joseph, Judith Klein-Seetharaman, 2009, Proteomics.

GaKCo: a Fast Gapped k-mer string Kernel using Counting

Beilun Wang, Arshdeep Sekhon, Yanjun Qi, 2018 .