activity
20182023
most citedDeep Reinforcement Learning for Traffic Light Control in Vehicular Networks

603 citations · 729 across the 8 of their papers we have counts for

collaborators

10 papers

eess.SY2023★ 32 cited

Safety in Traffic Management Systems: A Comprehensive Survey

Wenlu Du, Ankan Dash, Jing Li +2

Traffic management systems play a vital role in ensuring safe and efficient transportation on roads. However, the use of advanced technologies in traffic management systems has int…

cs.LG2021★ 44 cited

A review of Generative Adversarial Networks (GANs) and its applications in a wide variety of disciplines -- From Medical to Remote Sensing

Ankan Dash, Junyi Ye, Guiling Wang

We look into Generative Adversarial Network (GAN), its prevalent variants and applications in a number of sectors. GANs combine two neural networks that compete against one another…

cs.CV2021★ 1 cited

High Resolution Solar Image Generation using Generative Adversarial Networks

Ankan Dash, Junyi Ye, Guiling Wang

We applied Deep Learning algorithm known as Generative Adversarial Networks (GANs) to perform solar image-to-image translation. That is, from Solar Dynamics Observatory (SDO)/Helio…

cs.DS2021★ 25 cited

SoK: A Taxonomy for Critical Analysis of Consensus Mechanisms in Consortium Blockchain

Wei Yao, Fadi P. Deek, Renita Murimi +1

Consensus algorithms are central to blockchain technology and an emerging research area. In this paper, we begin with an overview of the different types and architectures of blockc…

cs.CR2021

Fair Peer-to-Peer Content Delivery via Blockchain

Songlin He, Yuan Lu, Qiang Tang +2

Peer-to-peer (p2p) content delivery is promising to provide benefits like cost-saving and scalable peak-demand handling in comparison with conventional content delivery networks (C…

cs.GT2020

Generic Superlight Client for Permissionless Blockchains

Yuan Lu, Qiang Tang, Guiling Wang

We conduct a systematic study on the light client of permissionless blockchains, in the setting where the full nodes and the light clients are rational. Under such a game-theoretic…