Xinyuan Zhang | DeepAI

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Yi Yang
329 publications
Dusit Niyato
258 publications
Lawrence Carin
178 publications
Zhe Gan
102 publications
Shuo Wang
101 publications
Xin Yuan
93 publications
Zehui Xiong
92 publications
Chunyuan Li
84 publications
Yizhe Zhang
80 publications
Manzil Zaheer
69 publications
Asli Celikyilmaz
59 publications

∙ 08/18/2023

Sampling from Network Reliability in Near-linear Time

We give a O(n) time sampler for independent sets of a matroid with n ele...

0 Xiaoyu Chen, et al. ∙

∙ 03/24/2023

AI-Generated 6G Internet Design: A Diffusion Model-based Learning Approach

The 6G Internet poses intense demands for intelligent and customized des...

0 Yudong Huang, et al. ∙

∙ 07/19/2022

A Near-Linear Time Sampler for the Ising Model

We give a near-linear time sampler for the Gibbs distribution of the fer...

0 Xiaoyu Chen, et al. ∙

∙ 03/15/2022

Optimal mixing for two-state anti-ferromagnetic spin systems

We prove an optimal Ω(n^-1) lower bound for modified log-Sobolev (MLS) c...

0 Xiaoyu Chen, et al. ∙

∙ 03/08/2022

GANSpiration: Balancing Targeted and Serendipitous Inspiration in User Interface Design with Style-Based Generative Adversarial Network

Inspiration from design examples plays a crucial role in the creative pr...

0 Mohammad Amin Mozaffari, et al. ∙

∙ 02/24/2022

Cognitive Semantic Communication Systems Driven by Knowledge Graph

Semantic communication is envisioned as a promising technique to break t...

0 Fuhui Zhou, et al. ∙

∙ 01/30/2022

Polynomial-Time Approximation of Zero-Free Partition Functions

Zero-free based algorithm is a major technique for deterministic approxi...

0 Penghui Yao, et al. ∙

∙ 01/25/2022

GIU-GANs: Global Information Utilization for Generative Adversarial Networks

In recent years, with the rapid development of artificial intelligence, ...

0 Yongqi Tian, et al. ∙

∙ 12/04/2021

KDCTime: Knowledge Distillation with Calibration on InceptionTime for Time-series Classification

Time-series classification approaches based on deep neural networks are ...

0 Xueyuan Gong, et al. ∙

∙ 11/04/2021

Optimal Mixing Time for the Ising Model in the Uniqueness Regime

We prove an optimal O(n log n) mixing time of the Glauber dynamics for t...

0 Xiaoyu Chen, et al. ∙

∙ 05/31/2021

Rapid mixing of Glauber dynamics via spectral independence for all degrees

We prove an optimal Ω(n^-1) lower bound on the spectral gap of Glauber d...

0 Xiaoyu Chen, et al. ∙

∙ 10/04/2020

Mixing Strategies in Cryptocurrencies and An Alternative Implementation

Since the initial launch of Bitcoin by Satoshi Nakamoto in 2009, decentr...

0 Xinyuan Zhang, et al. ∙

∙ 09/15/2020

Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes

High-quality dialogue-summary paired data is expensive to produce and do...

0 Xinyuan Zhang, et al. ∙

∙ 10/05/2019

Gaussian-Process-Based Dynamic Embedding for Textual Networks

Textual network embedding aims to learn low-dimensional representations ...

0 Pengyu Cheng, et al. ∙

∙ 09/30/2019

Improving Textual Network Learning with Variational Homophilic Embeddings

The performance of many network learning applications crucially hinges o...

0 Wenlin Wang, et al. ∙

∙ 06/19/2019

Learning Compressed Sentence Representations for On-Device Text Processing

Vector representations of sentences, trained on massive text corpora, ar...

0 Dinghan Shen, et al. ∙

∙ 06/05/2019

Syntax-Infused Variational Autoencoder for Text Generation

We present a syntax-infused variational autoencoder (SIVAE), that integr...

0 Xinyuan Zhang, et al. ∙

∙ 06/05/2019

Improving Textual Network Embedding with Global Attention via Optimal Transport

Constituting highly informative network embeddings is an important tool ...

0 Liqun Chen, et al. ∙

∙ 08/29/2018

Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment

Network embeddings, which learn low-dimensional representations for each...

0 Dinghan Shen, et al. ∙

∙ 05/24/2018

Diffusion Maps for Textual Network Embedding

Textual network embedding leverages rich text information associated wit...

0 Xinyuan Zhang, et al. ∙

∙ 05/10/2018

Joint Embedding of Words and Labels for Text Classification

Word embeddings are effective intermediate representations for capturing...

0 Guoyin Wang, et al. ∙

∙ 03/19/2018

Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration

Low-rank signal modeling has been widely leveraged to capture non-local ...

0 Xinyuan Zhang, et al. ∙

∙ 01/15/2018

Multi-Label Learning from Medical Plain Text with Convolutional Residual Models

Predicting diagnoses from Electronic Health Records (EHRs) is an importa...

0 Xinyuan Zhang, et al. ∙

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