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Martin Renqiang Min
Martin Renqiang Min
Department of Machine Learning, NEC Laboratories America
Bestätigte E-Mail-Adresse bei nec-labs.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
An integrated encyclopedia of DNA elements in the human genome
EP Consortium
Nature 489 (7414), 57, 2012
176432012
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
23322018
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
17282012
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
4682018
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
4662011
Video Generation From Text.
Y Li, MR Min, D Shen, DE Carlson, L Carin
AAAI 2018, 2018
3142018
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
290*2016
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
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
1622023
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
1612019
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
Accelerating deep neural network training with inconsistent stochastic gradient descent
L Wang, Y Yang, R Min, S Chakradhar
Neural Networks 93, 219-229, 2017
152*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
1322020
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
1212010
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
1162020
Learning k-way d-dimensional discrete codes for compact embedding representations
T Chen, MR Min, Y Sun
ICML 2018, 2018
952018
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
942017
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
802011
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
782021
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