| An integrated encyclopedia of DNA elements in the human genome EP Consortium Nature 489 (7414), 57, 2012 | 18921 | 2012 |
| Deep autoencoding gaussian mixture model for unsupervised anomaly detection B Zong, Q Song, MR Min, W Cheng, C Lumezanu, D Cho, H Chen ICLR 2018, 2018 | 2801 | 2018 |
| Architecture of the human regulatory network derived from ENCODE data MB Gerstein, A Kundaje, M Hariharan, SG Landt, KK Yan, C Cheng, ... Nature 489 (7414), 91-100, 2012 | 1776 | 2012 |
| Systematic exploration of essential yeast gene function with temperature-sensitive mutants Z Li, FJ Vizeacoumar, S Bahr, J Li, J Warringer, FS Vizeacoumar, R Min, ... Nature biotechnology 29 (4), 361-367, 2011 | 494 | 2011 |
| Baseline needs more love: On simple word-embedding-based models and associated pooling mechanisms D Shen, G Wang, W Wang, MR Min, Q Su, Y Zhang, C Li, R Henao, ... ACL 2018, 2018 | 491 | 2018 |
| Video Generation From Text. Y Li, MR Min, D Shen, DE Carlson, L Carin AAAI 2018, 2018 | 383 | 2018 |
| Automated IT system failure prediction: A deep learning approach K Zhang, J Xu, MR Min, G Jiang, K Pelechrinis, H Zhang 2016 IEEE International Conference on Big Data (Big Data), 1291-1300, 2016 | 292 | 2016 |
| Conditional image-to-video generation with latent flow diffusion models H Ni, C Shi, K Li, SX Huang, MR Min Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 253 | 2023 |
| Conditional GAN with Discriminative Filter Generation for Text-to-Video Synthesis Y Balaji, MR Min, B Bai, R Chellappa, HP Graf IJCAI, 1995-2001, 2019 | 212 | 2019 |
| Understanding transcriptional regulation by integrative analysis of transcription factor binding data C Cheng, R Alexander, R Min, J Leng, KY Yip, J Rozowsky, KK Yan, ... Genome research 22 (9), 1658-1667, 2012 | 209 | 2012 |
| Accelerating deep neural network training with inconsistent stochastic gradient descent L Wang, Y Yang, R Min, S Chakradhar Neural Networks 93, 219-229, 2017 | 182* | 2017 |
| Rethinking zero-shot learning: A conditional visual classification perspective K Li, MR Min, Y Fu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 179 | 2019 |
| S3vae: Self-supervised sequential vae for representation disentanglement and data generation Y Zhu, MR Min, A Kadav, HP Graf Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 159 | 2020 |
| Improving disentangled text representation learning with information-theoretic guidance P Cheng, MR Min, D Shen, C Malon, Y Zhang, Y Li, L Carin ACL 2020, 2020 | 134 | 2020 |
| A deep non-linear feature mapping for large-margin knn classification R Min, DA Stanley, Z Yuan, A Bonner, Z Zhang 2009 Ninth IEEE International Conference on Data Mining, 357-366, 2009 | 125 | 2009 |
| Gene expression variability within and between human populations and implications toward disease susceptibility J Li, Y Liu, TH Kim, R Min, Z Zhang PLoS computational biology 6 (8), e1000910, 2010 | 124 | 2010 |
| A deep generative model for molecule optimization via one fragment modification Z Chen, MR Min, S Parthasarathy, X Ning Nature machine intelligence 3 (12), 1040-1049, 2021 | 112 | 2021 |
| A context-aware attention network for interactive question answering H Li, MR Min, Y Ge, A Kadav Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 97 | 2017 |
| Learning k-way d-dimensional discrete codes for compact embedding representations T Chen, MR Min, Y Sun ICML 2018, 2018 | 96 | 2018 |
| TIP: a probabilistic method for identifying transcription factor target genes from ChIP-seq binding profiles C Cheng, R Min, M Gerstein Bioinformatics 27 (23), 3221-3227, 2011 | 82 | 2011 |
Hans Peter GrafNEC Laboratories AmericaVerified email at nec-labs.com
