Renqiang Martin Min
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Renqiang Martin Min's AcademicInfluence.com Rankings
Renqiang Martin Mincomputer-science Degrees
Computer Science
#9094
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#9555
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Data Science
#219
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#224
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Database
#6087
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#6311
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Renqiang Martin Minbiology Degrees
Biology
#12579
World Rank
#16064
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Bioinformatics
#152
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#154
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Computational Biology
#278
World Rank
#279
Historical Rank

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Computer Science Biology
Renqiang Martin Min's Degrees
- PhD Bioinformatics Stanford University
- Masters Computer Science Stanford University
- Bachelors Computer Science Stanford University
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Why Is Renqiang Martin Min Influential?
(Suggest an Edit or Addition)Renqiang Martin Min's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- An Integrated Encyclopedia of DNA Elements in the Human Genome (2012) (10393)
- An integrated encyclopedia of DNA elements in the human genome (2012) (2080)
- An integrated encyclopedia of DNA elements in the human genome (2012) (1548)
- Architecture of the human regulatory network derived from ENCODE data (2012) (1393)
- Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection (2018) (934)
- Systematic exploration of essential yeast gene function with temperature-sensitive mutants (2011) (384)
- Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms (2018) (280)
- Understanding transcriptional regulation by integrative analysis of transcription factor binding data (2012) (170)
- Video Generation From Text (2017) (138)
- Automated IT system failure prediction: A deep learning approach (2016) (114)
- Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective (2019) (98)
- A Deep Non-linear Feature Mapping for Large-Margin kNN Classification (2009) (91)
- Gene Expression Variability within and between Human Populations and Implications toward Disease Susceptibility (2010) (85)
- Accelerating Deep Neural Network Training with Inconsistent Stochastic Gradient Descent (2016) (80)
- Learning K-way D-dimensional Discrete Code For Compact Embedding Representations (2017) (64)
- A Context-aware Attention Network for Interactive Question Answering (2016) (59)
- TIP: A probabilistic method for identifying transcription factor target genes from ChIP-seq binding profiles (2011) (59)
- S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation (2020) (57)
- Deep Supervised t-Distributed Embedding (2010) (55)
- Improving Disentangled Text Representation Learning with Information-Theoretic Guidance (2020) (55)
- Conditional GAN with Discriminative Filter Generation for Text-to-Video Synthesis (2019) (48)
- Exploiting the determinants of stochastic gene expression in Saccharomyces cerevisiae for genome-wide prediction of expression noise (2010) (35)
- High-order neural networks and kernel methods for peptide-MHC binding prediction (2015) (34)
- Modifying kernels using label information improves SVM classification performance (2007) (34)
- Fully convolutional structured LSTM networks for joint 4D medical image segmentation (2018) (33)
- Adaptive Feature Abstraction for Translating Video to Text (2016) (28)
- Interpretable Sparse High-Order Boltzmann Machines (2014) (20)
- Learning Context-Sensitive Convolutional Filters for Text Processing (2017) (19)
- Disentangled Recurrent Wasserstein Autoencoder (2021) (19)
- Factorized sparse learning models with interpretable high order feature interactions (2014) (18)
- A Probabilistic Framework to Improve microRNA Target Prediction by Incorporating Proteomics Data (2009) (18)
- A Deep Spatio-Temporal Fuzzy Neural Network for Passenger Demand Prediction (2019) (17)
- A Non-linear Dimensionality Reduction Method for Improving Nearest Neighbour Classification (2005) (16)
- Fast Nonnegative Matrix Factorization with Rank-one ADMM (2014) (16)
- Adaptive Feature Abstraction for Translating Video to Language (2016) (15)
- PhenoM: a database of morphological phenotypes caused by mutation of essential genes in Saccharomyces cerevisiae (2011) (13)
- Adaptive Convolutional Filter Generation for Natural Language Understanding (2017) (11)
- Exemplar-centered Supervised Shallow Parametric Data Embedding (2017) (9)
- An Integrated Approach To Blood-Based Cancer Diagnosis And Biomarker Discovery (2013) (8)
- Deep Semantic Embedding (2014) (8)
- On the Use of Word Embeddings Alone to Represent Natural Language Sequences (2018) (7)
- Model-Based Autoencoders for Imputing Discrete single-cell RNA-seq Data. (2020) (7)
- Optimal Transport Classifier: Defending Against Adversarial Attacks by Regularized Deep Embedding (2018) (6)
- TFGAN: Improving Conditioning for Text-to-Video Synthesis (2018) (5)
- Large-Margin kNN Classification Using a Deep Encoder Network (2009) (5)
- On Novel Object Recognition: A Unified Framework for Discriminability and Adaptability (2019) (5)
- A Deep Learning Model for Structured Outputs with High-order Interaction (2015) (5)
- Network Reparameterization for Unseen Class Categorization (2018) (4)
- Convolutional Neural Knowledge Graph Learning (2017) (4)
- DECODE: a Deep-learning framework for Condensing enhancers and refining boundaries with large-scale functional assays (2021) (4)
- Parametric t-Distributed Stochastic Exemplar-centered Embedding (2017) (4)
- Learning Random-Walk Kernels for Protein Remote Homology Identification and Motif Discovery (2009) (3)
- Learned Random-Walk Kernels and Empirical-Map Kernels for Protein Sequence Classification (2009) (3)
- Disentangled Deep Autoencoding Regularization for Robust Image Classification (2019) (2)
- Adaptive KNN Classification Based on Laplacian Eigenmaps and Kernel Mixtures (2009) (1)
- Learning K-way D-dimensional Discrete Embedding for Hierarchical Data Visualization and Retrieval (2019) (1)
- Motion Interpretation and Synthesis by ICA (2009) (1)
- Machine Learning Approaches to Biological Sequence and Phenotype Data Analysis (2010) (1)
- Molecule Optimization via Fragment-based Generative Models (2020) (1)
- Random Walk Distributed Dual Averaging Method For Decentralized Consensus Optimization (2015) (1)
- Modifying Kernels Using Label Information Improves Protein Classification Performance (0)
- Interpretable Sparse High-Order Boltzmann Machines for Transcription Factor Interaction Identification (2014) (0)
- Ranking-based Convolutional Neural Network Models for Peptide-MHC Binding Prediction (2020) (0)
- Greedy Alternating Optimization for FHIM (2014) (0)
- Ensemble Learning Based Sparse High-Order Boltzmann Machine for Unsupervised Feature Interaction Identification (2014) (0)
- Restricted Boltzmann Machine and its High-Order Extensions (2014) (0)
- A Shallow High-Order Parametric Approach to Data Visualization and Compression (2016) (0)
- BIOINFORMATICS ORIGINAL PAPER TIP: A probabilistic method for identifying transcription factor target genes from ChIP-seq binding profiles (2011) (0)
- Knowledge Based Factorized High Order Sparse Learning Models (2016) (0)
- RWDDA : Distributed Dual Averaging Made Practical (2017) (0)
- CNN-based Dual-Chain Models for Knowledge Graph Learning (2019) (0)
- Defending Against Adversarial Examples by Regularized Deep Embedding (2019) (0)
- Cancer Diagnosis with QUIRE: QUadratic Interactions among infoRmative fEatures (2013) (0)
- Understanding Attention Mechanisms (2019) (0)
- Interpretable Sparse High-Order Boltzmann Machines ( Supplementary Materials ) (2014) (0)
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What Schools Are Affiliated With Renqiang Martin Min?
Renqiang Martin Min is affiliated with the following schools: