Yanjun Qi
According to our database1,
Yanjun Qi
authored at least 105 papers
between 2001 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding - A Survey.
CoRR, 2024
2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Forecasting Cloud Application Workloads With CloudInsight for Predictive Resource Management.
IEEE Trans. Cloud Comput., 2022
CoRR, 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Proceedings of the Job Scheduling Strategies for Parallel Processing, 2022
Beyond Data Samples: Aligning Differential Networks Estimation with Scientific Knowledge.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
CoRR, 2021
CoRR, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021
Transfer learning for predicting virus-host protein interactions for novel virus sequences.
Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
CoRR, 2020
CoRR, 2020
TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Searching for a Search Method: Benchmarking Search Algorithms for Generating NLP Adversarial Examples.
Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020
2019
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
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
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
CoRR, 2017
CoRR, 2017
CoRR, 2017
Adversarial-Playground: A visualization suite showing how adversarial examples fool deep learning.
Proceedings of the 14th 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
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
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
Bioinform., 2016
Proceedings of the 23rd Annual Network and Distributed System Security Symposium, 2016
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
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015
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
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
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014
Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014
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
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012
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
Proceedings of the 21st International Conference on Pattern Recognition, 2012
2011
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011
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
Semi-supervised multi-task learning for predicting interactions between HIV-1 and human proteins.
Bioinform., 2010
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
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
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
Proceedings of the ICDM 2009, 2009
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009
2008
Proceedings of the Proceedings 16th International Conference on Intelligent Systems for Molecular Biology (ISMB), 2008
2007
BMC Bioinform., 2007
2005
Random Forest Similarity for Protein-Protein Interaction Prediction from Multiple Sources.
Proceedings of the Biocomputing 2005, 2005
2004
2003
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003
2002
Proceedings of The Eleventh Text REtrieval Conference, 2002
Proceedings of the 16th International Conference on Pattern Recognition, 2002
2001
Proceedings of The Tenth Text REtrieval Conference, 2001