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Martin Renqiang Min
Martin Renqiang Min
Department Head of Machine Learning, NEC Labs America
Verified email at nec-labs.com - Homepage
Title
Cited by
Cited by
Year
An integrated encyclopedia of DNA elements in the human genome
EP Consortium
Nature 489 (7414), 57, 2012
138362012
An integrated encyclopedia of DNA elements in the human genome
ENCODE Project Consortium Overall coordination (data analysis coordination ...
Nature 489 (7414), 57-74, 2012
30622012
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
17612018
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
16422012
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
4352011
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
4252018
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
2382016
Video Generation From Text.
Y Li, MR Min, D Shen, DE Carlson, L Carin
AAAI 2018, 2018
2372018
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
1982012
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
1362019
Accelerating deep neural network training with inconsistent stochastic gradient descent
L Wang, Y Yang, R Min, S Chakradhar
Neural Networks 93, 219-229, 2017
135*2017
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
1172009
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
1162010
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
1052019
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
992020
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
922020
Learning k-way d-dimensional discrete codes for compact embedding representations
T Chen, MR Min, Y Sun
ICML 2018, 2018
892018
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
892017
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
732011
Adaptive feature abstraction for translating video to language
Y Pu, MR Min, Z Gan, L Carin
AAAI 2018, 2018
70*2018
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