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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...
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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...
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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...
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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...
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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...
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02/24/2022
Cognitive Semantic Communication Systems Driven by Knowledge Graph
Semantic communication is envisioned as a promising technique to break t...
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01/30/2022
Polynomial-Time Approximation of Zero-Free Partition Functions
Zero-free based algorithm is a major technique for deterministic approxi...
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01/25/2022
GIU-GANs: Global Information Utilization for Generative Adversarial Networks
In recent years, with the rapid development of artificial intelligence, ...
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12/04/2021
KDCTime: Knowledge Distillation with Calibration on InceptionTime for Time-series Classification
Time-series classification approaches based on deep neural networks are ...
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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...
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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...
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10/04/2020
Mixing Strategies in Cryptocurrencies and An Alternative Implementation
Since the initial launch of Bitcoin by Satoshi Nakamoto in 2009, decentr...
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09/15/2020
Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes
High-quality dialogue-summary paired data is expensive to produce and do...
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10/05/2019
Gaussian-Process-Based Dynamic Embedding for Textual Networks
Textual network embedding aims to learn low-dimensional representations ...
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09/30/2019
Improving Textual Network Learning with Variational Homophilic Embeddings
The performance of many network learning applications crucially hinges o...
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06/19/2019
Learning Compressed Sentence Representations for On-Device Text Processing
Vector representations of sentences, trained on massive text corpora, ar...
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06/05/2019
Syntax-Infused Variational Autoencoder for Text Generation
We present a syntax-infused variational autoencoder (SIVAE), that integr...
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06/05/2019
Improving Textual Network Embedding with Global Attention via Optimal Transport
Constituting highly informative network embeddings is an important tool ...
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08/29/2018
Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment
Network embeddings, which learn low-dimensional representations for each...
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05/24/2018
Diffusion Maps for Textual Network Embedding
Textual network embedding leverages rich text information associated wit...
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05/10/2018
Joint Embedding of Words and Labels for Text Classification
Word embeddings are effective intermediate representations for capturing...
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03/19/2018
Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration
Low-rank signal modeling has been widely leveraged to capture non-local ...
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01/15/2018