Su Wang | DeepAI

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Featured Co-authors

Vaneet Aggarwal
117 publications
Han Zhang
115 publications
Shuo Wang
101 publications
Greg Durrett
82 publications
Tao Zhou
70 publications
Fei Xia
53 publications
Seyyedali Hosseinalipour
48 publications
Christopher G. Brinton
44 publications
Aleksandra Faust
44 publications
Rahul Gupta
42 publications
Karol Hausman
38 publications

∙ 04/24/2023

Multi-Source to Multi-Target Decentralized Federated Domain Adaptation

Heterogeneity across devices in federated learning (FL) typically refers...

0 Su Wang, et al. ∙

∙ 03/15/2023

Towards Cooperative Federated Learning over Heterogeneous Edge/Fog Networks

Federated learning (FL) has been promoted as a popular technique for tra...

0 Su Wang, et al. ∙

∙ 02/22/2023

Scaling Robot Learning with Semantically Imagined Experience

Recent advances in robot learning have shown promise in enabling robots ...

0 Tianhe Yu, et al. ∙

∙ 02/09/2022

GenAD: General Representations of Multivariate Time Seriesfor Anomaly Detection

The reliability of wireless base stations in China Mobile is of vital im...

0 Xiaolei Hua, et al. ∙

∙ 02/07/2022

Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless Networks

Federated learning (FedL) has emerged as a popular technique for distrib...

3 Seyyedali Hosseinalipour, et al. ∙

∙ 01/25/2022

Coded Caching with Heterogeneous User Profiles

Coded caching utilizes pre-fetching during off-peak hours and multi-cast...

0 Ciyuan Zhang, et al. ∙

∙ 11/25/2021

Less is More: Generating Grounded Navigation Instructions from Landmarks

We study the automatic generation of navigation instructions from 360-de...

8 Su Wang, et al. ∙

∙ 11/08/2021

threaTrace: Detecting and Tracing Host-based Threats in Node Level Through Provenance Graph Learning

Host-based threats such as Program Attack, Malware Implantation, and Adv...

0 Su Wang, et al. ∙

∙ 09/23/2021

DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications

Unsupervised Deep Learning (DL) techniques have been widely used in vari...

0 Dongqi Han, et al. ∙

∙ 06/29/2021

UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach

We consider distributed machine learning (ML) through unmanned aerial ve...

33 Su Wang, et al. ∙

∙ 01/26/2021

On the Evaluation of Vision-and-Language Navigation Instructions

Vision-and-Language Navigation wayfinding agents can be enhanced by expl...

5 Ming Zhao, et al. ∙

∙ 01/04/2021

Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation

The conventional federated learning (FedL) architecture distributes mach...

0 Su Wang, et al. ∙

∙ 08/17/2020

Narrative Interpolation for Generating and Understanding Stories

We propose a method for controlled narrative/story generation where we a...

0 Su Wang, et al. ∙

∙ 04/17/2020

Network-Aware Optimization of Distributed Learning for Fog Computing

Fog computing promises to enable machine learning tasks to scale to larg...

0 Yuwei Tu, et al. ∙

∙ 09/15/2019

Query-Focused Scenario Construction

The news coverage of events often contains not one but multiple incompat...

0 Su Wang, et al. ∙

∙ 10/31/2018

A task in a suit and a tie: paraphrase generation with semantic augmentation

Paraphrasing is rooted in semantics. We show the effectiveness of transf...

0 Su Wang, et al. ∙

∙ 10/31/2018

Picking Apart Story Salads

During natural disasters and conflicts, information about what happened ...

0 Su Wang, et al. ∙

∙ 04/02/2018

Modeling Semantic Plausibility by Injecting World Knowledge

Distributional data tells us that a man can swallow candy, but not that ...

0 Su Wang, et al. ∙

∙ 09/07/2017

Leveraging Discourse Information Effectively for Authorship Attribution

We explore techniques to maximize the effectiveness of discourse informa...

0 Su Wang, et al. ∙

∙ 04/14/2017

Distributional Modeling on a Diet: One-shot Word Learning from Text Only

We test whether distributional models can do one-shot learning of defini...

0 Su Wang, et al. ∙

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