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Martin Renqiang Min
Martin Renqiang Min
Department of Machine Learning, NEC Laboratories America
Verifierad e-postadress på nec-labs.com - Startsida
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An integrated encyclopedia of DNA elements in the human genome
EP Consortium
Nature 489 (7414), 57, 2012
174672012
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
22902018
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
17322012
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
4722018
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
4652011
Video Generation From Text.
Y Li, MR Min, D Shen, DE Carlson, L Carin
AAAI 2018, 2018
3062018
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
2742016
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
2052012
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
1612019
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
1592023
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
1582019
Accelerating deep neural network training with inconsistent stochastic gradient descent
L Wang, Y Yang, R Min, S Chakradhar
Neural Networks 93, 219-229, 2017
151*2017
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
1312020
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
1232009
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
1192010
An integrated encyclopedia of DNA elements in the human genome
ENCODE Project Consortium Overall coordination (data analysis coordination ...
Nature 489 (7414), 57-74, 2012
113*2012
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
1102020
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
952017
Learning k-way d-dimensional discrete codes for compact embedding representations
T Chen, MR Min, Y Sun
ICML 2018, 2018
932018
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
792011
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Artiklar 1–20