Search Results for author: Rui Meng

Found 17 papers, 7 papers with code

Compressed Predictive Information Coding

no code implementations3 Mar 2022 Rui Meng, Tianyi Luo, Kristofer Bouchard

The key insight of our framework is to learn representations by minimizing the compression complexity and maximizing the predictive information in latent space.

Mutual Information Estimation

Bayesian Inference in High-Dimensional Time-Serieswith the Orthogonal Stochastic Linear Mixing Model

no code implementations25 Jun 2021 Rui Meng, Kristofer Bouchard

Stochastic linear mixing models (SLMM) assume the mixture coefficients depend on input, making them more flexible and effective to capture complex output dependence.

Bayesian Inference Gaussian Processes +1

Stochastic Collapsed Variational Inference for Structured Gaussian Process Regression Network

no code implementations1 Jun 2021 Rui Meng, Herbie Lee, Kristofer Bouchard

This paper presents an efficient variational inference framework for deriving a family of structured gaussian process regression network (SGPRN) models.

Imputation Stochastic Optimization +1

Unsupervised Deep Keyphrase Generation

1 code implementation18 Apr 2021 Xianjie Shen, Yinghan Wang, Rui Meng, Jingbo Shang

Keyphrase generation aims to summarize long documents with a collection of salient phrases.

Keyphrase Generation

Predicting User Engagement Status for Online Evaluation of Intelligent Assistants

no code implementations1 Oct 2020 Rui Meng, Zhen Yue, Alyssa Glass

Therefore, we consider predicting user engagement status as the very first and critical step to online evaluation for intelligent assistants.

Recommendation Systems

An Empirical Study on Neural Keyphrase Generation

no code implementations NAACL 2021 Rui Meng, Xingdi Yuan, Tong Wang, Sanqiang Zhao, Adam Trischler, Daqing He

Recent years have seen a flourishing of neural keyphrase generation (KPG) works, including the release of several large-scale datasets and a host of new models to tackle them.

Keyphrase Generation

Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation

2 code implementations11 Aug 2020 Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Rui Meng, Soumik Sarkar

Accurate interpretation of such prediction outcomes from a machine learning model that explicitly captures temporal correlations can significantly benefit the domain experts.

Time Series Time Series Prediction

Regularized Sparse Gaussian Processes

no code implementations13 Oct 2019 Rui Meng, Herbert Lee, Soper Braden, Priyadip Ray

An issue faced by SGP, especially in latent variable models, is the inefficient learning of the inducing inputs, which leads to poor model prediction.

Facial Expression Recognition Gaussian Processes +3

Hierarchical Hidden Markov Jump Processes for Cancer Screening Modeling

no code implementations13 Oct 2019 Rui Meng, Soper Braden, Jan Nygard, Mari Nygrad, Herbert Lee

In this paper, we propose a piece-wise stationary transition matrix to explain the heterogeneity in time.

Nonstationary Multivariate Gaussian Processes for Electronic Health Records

no code implementations13 Oct 2019 Rui Meng, Braden Soper, Herbert Lee, Vincent X. Liu, John D. Greene, Priyadip Ray

We propose multivariate nonstationary Gaussian processes for jointly modeling multiple clinical variables, where the key parameters, length-scales, standard deviations and the correlations between the observed output, are all time dependent.

Gaussian Processes

Does Order Matter? An Empirical Study on Generating Multiple Keyphrases as a Sequence

1 code implementation9 Sep 2019 Rui Meng, Xingdi Yuan, Tong Wang, Peter Brusilovsky, Adam Trischler, Daqing He

Recently, concatenating multiple keyphrases as a target sequence has been proposed as a new learning paradigm for keyphrase generation.

Keyphrase Generation

Subjective Knowledge Acquisition and Enrichment Powered By Crowdsourcing

no code implementations16 May 2017 Rui Meng, Hao Xin, Lei Chen, Yangqiu Song

In our work, we propose a system, called crowdsourced subjective knowledge acquisition (CoSKA), for subjective knowledge acquisition powered by crowdsourcing and existing KBs.

Deep Keyphrase Generation

4 code implementations ACL 2017 Rui Meng, Sanqiang Zhao, Shuguang Han, Daqing He, Peter Brusilovsky, Yu Chi

Keyphrase provides highly-condensed information that can be effectively used for understanding, organizing and retrieving text content.

Keyphrase Extraction Keyphrase Generation

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