Search Results for author: Yan Wan

Found 10 papers, 3 papers with code

Multi-Agent Reinforcement Learning Based Coded Computation for Mobile Ad Hoc Computing

no code implementations15 Apr 2021 Baoqian Wang, Junfei Xie, Kejie Lu, Yan Wan, Shengli Fu

Mobile ad hoc computing (MAHC), which allows mobile devices to directly share their computing resources, is a promising solution to address the growing demands for computing resources required by mobile devices.

Distributed Computing Multi-agent Reinforcement Learning +1

On Batch-Processing Based Coded Computing for Heterogeneous Distributed Computing Systems

1 code implementation29 Dec 2019 Baoqian Wang, Junfei Xie, Kejie Lu, Yan Wan, Shengli Fu

In recent years, coded distributed computing (CDC) has attracted significant attention, because it can efficiently facilitate many delay-sensitive computation tasks against unexpected latencies in distributed computing systems.

Distributed, Parallel, and Cluster Computing

Dynamic Distribution Pruning for Efficient Network Architecture Search

1 code implementation28 May 2019 Xiawu Zheng, Rongrong Ji, Lang Tang, Yan Wan, Baochang Zhang, Yongjian Wu, Yunsheng Wu, Ling Shao

The search space is dynamically pruned every a few epochs to update this distribution, and the optimal neural architecture is obtained when there is only one structure remained.

Neural Architecture Search

BigDL: A Distributed Deep Learning Framework for Big Data

2 code implementations16 Apr 2018 Jason Dai, Yiheng Wang, Xin Qiu, Ding Ding, Yao Zhang, Yanzhang Wang, Xianyan Jia, Cherry Zhang, Yan Wan, Zhichao Li, Jiao Wang, Shengsheng Huang, Zhongyuan Wu, Yang Wang, Yuhao Yang, Bowen She, Dongjie Shi, Qi Lu, Kai Huang, Guoqiong Song

This paper presents BigDL (a distributed deep learning framework for Apache Spark), which has been used by a variety of users in the industry for building deep learning applications on production big data platforms.

Fraud Detection Object Detection

Using experimental game theory to transit human values to ethical AI

no code implementations16 Nov 2017 Yijia Wang, Yan Wan, Zhijian Wang

Knowing the reflection of game theory and ethics, we develop a mathematical representation to bridge the gap between the concepts in moral philosophy (e. g., Kantian and Utilitarian) and AI ethics industry technology standard (e. g., IEEE P7000 standard series for Ethical AI).

Zara: A Virtual Interactive Dialogue System Incorporating Emotion, Sentiment and Personality Recognition

no code implementations COLING 2016 Pascale Fung, Anik Dey, Farhad Bin Siddique, Ruixi Lin, Yang Yang, Dario Bertero, Yan Wan, Ricky Ho Yin Chan, Chien-Sheng Wu

Zara, or {`}Zara the Supergirl{'} is a virtual robot, that can exhibit empathy while interacting with an user, with the aid of its built in facial and emotion recognition, sentiment analysis, and speech module.

Emotion Recognition Feature Engineering +2

Towards Empathetic Human-Robot Interactions

no code implementations13 May 2016 Pascale Fung, Dario Bertero, Yan Wan, Anik Dey, Ricky Ho Yin Chan, Farhad Bin Siddique, Yang Yang, Chien-Sheng Wu, Ruixi Lin

Although research on empathetic robots is still in the early stage, we described our approach using signal processing techniques, sentiment analysis and machine learning algorithms to make robots that can "understand" human emotion.

Sentiment Analysis

A Machine Learning based Music Retrieval and Recommendation System

no code implementations LREC 2016 Naziba Mostafa, Yan Wan, Unnayan Amitabh, Pascale Fung

In this paper, we present a music retrieval and recommendation system using machine learning techniques.

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