Search Results for author: Ming Yu

Found 11 papers, 2 papers with code

AlzhiNet: Traversing from 2DCNN to 3DCNN, Towards Early Detection and Diagnosis of Alzheimer's Disease

no code implementations3 Oct 2024 Romoke Grace Akindele, Samuel Adebayo, Paul Shekonya Kanda, Ming Yu

Alzheimer's disease (AD) is a progressive neurodegenerative disorder with increasing prevalence among the aging population, necessitating early and accurate diagnosis for effective disease management.

Data Augmentation

Information Prebuilt Recurrent Reconstruction Network for Video Super-Resolution

no code implementations10 Dec 2021 Shuyun Wang, Ming Yu, Cuihong Xue, Yingchun Guo, Gang Yan

By integrating sufficient information from the front of the video to build the hidden state needed for the initially recurrent unit to help restore the earlier frames, the information prebuilt network balances the input information difference at different time steps.

Video Super-Resolution

Convergent Policy Optimization for Safe Reinforcement Learning

1 code implementation NeurIPS 2019 Ming Yu, Zhuoran Yang, Mladen Kolar, Zhaoran Wang

We study the safe reinforcement learning problem with nonlinear function approximation, where policy optimization is formulated as a constrained optimization problem with both the objective and the constraint being nonconvex functions.

Multi-agent Reinforcement Learning reinforcement-learning +3

An Improved Deep Belief Network Model for Road Safety Analyses

no code implementations17 Dec 2018 Guangyuan Pan, Liping Fu, Lalita Thakali, Matthew Muresan, Ming Yu

In this paper, we attempt to demonstrate the potential of this new model for crash prediction through two case studies including a collision data set from 800 km stretch of Highway 401 and other highways in Ontario, Canada.

regression

Provable Gaussian Embedding with One Observation

no code implementations NeurIPS 2018 Ming Yu, Zhuoran Yang, Tuo Zhao, Mladen Kolar, Zhaoran Wang

In this paper, we study the Gaussian embedding model and develop the first theoretical results for exponential family embedding models.

BIG-bench Machine Learning

Learning Influence-Receptivity Network Structure with Guarantee

no code implementations14 Jun 2018 Ming Yu, Varun Gupta, Mladen Kolar

Specifically, we endow each node with two node-topic vectors: an influence vector that measures how influential/authoritative they are on each topic; and a receptivity vector that measures how receptive/susceptible they are to each topic.

Community Detection

Simultaneous Parameter Learning and Bi-Clustering for Multi-Response Models

no code implementations29 Apr 2018 Ming Yu, Karthikeyan Natesan Ramamurthy, Addie Thompson, Aurélie Lozano

We consider multi-response and multitask regression models, where the parameter matrix to be estimated is expected to have an unknown grouping structure.

Clustering

Recovery of simultaneous low rank and two-way sparse coefficient matrices, a nonconvex approach

no code implementations20 Feb 2018 Ming Yu, Varun Gupta, Mladen Kolar

We show linear convergence of the iterates obtained by GDT to a region within statistical error of an optimal solution.

Multi-Task Learning

Estimation of a Low-rank Topic-Based Model for Information Cascades

1 code implementation6 Sep 2017 Ming Yu, Varun Gupta, Mladen Kolar

We consider the problem of estimating the latent structure of a social network based on the observed information diffusion events, or cascades, where the observations for a given cascade consist of only the timestamps of infection for infected nodes but not the source of the infection.

Recommendation Systems

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