Author Description

Login to generate an author description

Ask a Question About This Mathematician

All published works (14)

Action Title Date Authors
Personalized workflow to identify optimal T-cell epitopes for peptide-based vaccines against COVID-19 2020-01-01 Rui Qiao Ngoc Hieu Tran Baozhen Shan Ali Ghodsi Ming Li
PointIso: Point Cloud Based Deep Learning Model for Detecting Arbitrary-Precision Peptide Features in LC-MS Map through Attention Based Segmentation 2020-01-01 Fatema Tuz Zohora M. Ziaur Rahman Ngoc Hieu Tran Lei Xin Baozhen Shan Ming Li
+
An Introduction to Kolmogorov Complexity and Its Applications 2019-01-01 Ming Li Paul Vitányi
DeepNovoV2: Better de novo peptide sequencing with deep learning 2019-01-01 Rui Qiao Ngoc Hieu Tran Ming Li Lei Xin Baozhen Shan Ali Ghodsi
Generating Thematic Chinese Poetry using Conditional Variational Autoencoders with Hybrid Decoders 2018-07-01 Xiaopeng Yang Xiaowen Lin Shunda Suo Ming Li
DeepIso: A Deep Learning Model for Peptide Feature Detection 2018-01-01 Fatema Tuz Zohora Ngoc Hieu Tran Xianglilan Zhang Lei Xin Baozhen Shan Ming Li
Generating Thematic Chinese Poetry using Conditional Variational Autoencoders with Hybrid Decoders 2017-01-01 Xiaopeng Yang Xiaowen Lin Shunda Suo Ming Li
+
Algorithmic Prefix Complexity 2008-01-01 Ming Li Paul Vitányi
A New Approach to Formal Language Theory by Kolmogorov Complexity 2001-10-18 Ming Li Paul Vitányi
New applications of the incompressibility method: Part II 2000-03-01 Harry Buhrman Tao Jiang Ming Li Paul Vitányi
Minimum Description Length Induction, Bayesianism, and Kolmogorov Complexity 1999-01-01 Paul Vitányi Ming Li
+
Algorithmic Prefix Complexity 1997-01-01 Ming Li Paul Vitányi
Statistical properties of finite sequences with high Kolmogorov complexity 1994-07-01 Ming Li Paul M. B. Vit�nyi
Average case complexity under the universal distribution equals worst-case complexity 1992-05-01 Ming Li Paul Vitányi

Commonly Cited References

Action Title Date Authors # of times referenced
+
THE COMPLEXITY OF FINITE OBJECTS AND THE DEVELOPMENT OF THE CONCEPTS OF INFORMATION AND RANDOMNESS BY MEANS OF THE THEORY OF ALGORITHMS 1970-12-31 Alexander K. Zvonkin Leonid A. Levin 4
+
An Introduction to Kolmogorov Complexity and Its Applications 2019-01-01 Ming Li Paul Vitányi 3
Generating Sentences from a Continuous Space 2016-01-01 Samuel R. Bowman Luke Vilnis Oriol Vinyals Andrew M. Dai Rafał Józefowicz Samy Bengio 2
+
Can an individual sequence of zeros and ones be random? 1990-02-28 V. A. Uspenskiĭ A. L. Semenov Alexander Shen 2
+
The definition of random sequences 1966-12-01 Per Martin-Löf 2
A new version of algorithmic information theory 1996-03-01 Gregory J. Chaitin 2
Kolmogorov complexity arguments in combinatorics 1994-05-01 Ming Li Paul Vitányi 2
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 2017-07-01 Raffaelli Charles Hao Su Kaichun Mo Leonidas Guibas 2
A Hybrid Convolutional Variational Autoencoder for Text Generation 2017-01-01 Stanislau Semeniuta Aliaksei Severyn Erhardt Barth 2
Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders 2017-01-01 Tiancheng Zhao Ran Zhao Maxine Eskénazi 2
Flexible and Creative Chinese Poetry Generation Using Neural Memory 2017-01-01 Jiyuan Zhang Yang Feng Dong Wang Yang Wang Andrew Abel Shiyue Zhang Andi Zhang 2
Adam: A Method for Stochastic Optimization 2014-01-01 Diederik P. Kingma Jimmy Ba 2
ADADELTA: An Adaptive Learning Rate Method 2012-01-01 Matthew D. Zeiler 2
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 2015-01-01 Alec Radford Luke Metz Soumith Chintala 1
+
A fast expected time algorithm for Boolean matrix multiplication and transitive closure 1973-03-01 Patrick E. O׳Neil Elizabeth O’Neil 1
+
The William Lowell Putnam Mathematical Competition 1986-10-01 Leonard F. Klosinski Gerald L. Alexanderson Loren C. Larson 1
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation 2014-06-01 Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik 1
Neural Machine Translation by Jointly Learning to Align and Translate 2014-09-01 Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio 1
PixelVAE: A Latent Variable Model for Natural Images 2016-01-01 Ishaan Gulrajani Kundan Kumar Faruk Ahmed Adrien Ali Taïga Francesco Visin David Vázquez Aaron Courville 1
Neural Machine Translation by Jointly Learning to Align and Translate 2015-01-01 Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio 1
+
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 2015-11-19 Alec Radford Luke Metz Soumith Chintala 1
Deep Residual Learning for Image Recognition 2016-06-01 Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun 1
+
An Introduction to Probability Theory and Its Applications. Vol. 1, Second Edition. 1958-03-01 W. A. W. William Feller 1
Mask-CNN: Localizing Parts and Selecting Descriptors for Fine-Grained Image Recognition 2016-01-01 Xiu-Shen Wei Chen-Wei Xie Jianxin Wu 1
A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues 2017-02-12 Iulian Vlad Serban Alessandro Sordoni Ryan Lowe Laurent Charlin Joëlle Pineau Aaron Courville Yoshua Bengio 1
+
AN ESSAY TOWARDS SOLVING A PROBLEM IN THE DOCTRINE OF CHANCES 1958-01-01 BAYES 1
Detecting Cancer Metastases on Gigapixel Pathology Images 2017-01-01 Yun Liu Krishna Gadepalli Mohammad Norouzi George E. Dahl Timo Kohlberger Subhashini Venugopalan Aleksey S Boyko Aleksei Timofeev Philip Q. Nelson G. Corrado 1
+
Introduction to Algorithms 1991-09-01 V. J. Rayward‐Smith Thomas H. Cormen Charles E. Leiserson Ronald L. Rivest 1
DeepNovoV2: Better de novo peptide sequencing with deep learning 2019-01-01 Rui Qiao Ngoc Hieu Tran Ming Li Lei Xin Baozhen Shan Ali Ghodsi 1
PixelVAE: A Latent Variable Model for Natural Images 2016-11-15 Ishaan Gulrajani Kundan Kumar Faruk Ahmed Adrien Ali Taïga Francesco Visin David Vázquez Aaron Courville 1
+
Efficient Estimation of Word Representations in Vector Space 2013-01-16 Tomáš Mikolov Kai Chen Greg S. Corrado Jay B. Dean 1
Chinese Poetry Generation with Planning based Neural Network 2016-01-01 Zhe Wang Wei He Hua Wu Haiyang Wu Wei Li Haifeng Wang Enhong Chen 1
Dual Attention Network for Scene Segmentation 2019-06-01 Jun Fu Jing Liu Haijie Tian Yong Li Yongjun Bao Zhiwei Fang Hanqing Lu 1
Lecture notes on descriptional complexity and randomness 2021-01-01 Péter Gács 1
You Only Look Once: Unified, Real-Time Object Detection 2016-06-01 Joseph Redmon Santosh Divvala Ross Girshick Ali Farhadi 1
Chinese song iambics generation with neural attention-based model 2016-07-09 Qixin Wang Tianyi Luo Dong Wang Chao Xing 1
+
The William Lowell Putnam mathematical competition: problems and solutions: 1965-1984 1985-10-01 Gerald L. Alexanderson Leonard F. Klosinski Loren C. Larson 1
Focal Loss for Dense Object Detection 2017-10-01 Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár 1
Attention is All you Need 2017-06-12 Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin 1
+
Very Deep Convolutional Networks for Large-Scale Image Recognition 2014-09-04 Karen Simonyan Andrew Zisserman 1
Convolutional Neural Networks for Sentence Classification 2014-01-01 Yoon Kim 1
+
The William Lowell Putnam Mathematical Competition 1985-01-01 Gerald L. Alexanderson Leonard F. Klosinski Loren C. Larson 1
+
Combinatorial foundations of information theory and the calculus of probabilities 1983-08-31 A. N. Kolmogorov 1
Two heads are better than two tapes 1994-01-01 Tao Jiang Joel Seiferas Paul Vitányi 1
On the difference between consecutive primes 1979-12-01 D. R. Heath‐Brown Henryk Iwaniec 1
+
The Law of the Iterated Logarithm for Random Kolmogorov, or Chaotic, Sequences 1988-01-01 Vladimir Vovk 1
+
A variant of the Kolmogorov concept of complexity 1969-12-01 D.W. Loveland 1
Efficient Estimation of Word Representations in Vector Space 2013-01-01 Tomáš Mikolov Kai Chen Greg S. Corrado Jay B. Dean 1
+
On the relation between descriptional complexity and algorithmic probability 1983-01-01 Péter Gács 1