activity
20112022
most citedEvolutionary Information Diffusion over Social Networks

175 citations · 580 across the 13 of their papers we have counts for

collaborators

13 papers

eess.AS2022★ 1 cited

RadioSES: mmWave-Based Audioradio Speech Enhancement and Separation System

Muhammed Zahid Ozturk, Chenshu Wu, Beibei Wang +2

Speech enhancement and separation have been a long-standing problem, especially with the recent advances using a single microphone. Although microphones perform well in constrained…

eess.SP2021★ 1 cited

RadioMic: Sound Sensing via mmWave Signals

Muhammed Zahid Ozturk, Chenshu Wu, Beibei Wang +1

Voice interfaces has become an integral part of our lives, with the proliferation of smart devices. Today, IoT devices mainly rely on microphones to sense sound. Microphones, howev…

eess.SP2017★ 43 cited

WiBall: A Time-Reversal Focusing Ball Method for Indoor Tracking

Feng Zhang, Chen Chen, Beibei Wang +2

With the development of the Internet of Things technology, indoor tracking has become a popular application nowadays, but most existing solutions can only work in line-of-sight sce…

eess.SP2017★ 125 cited

WiSpeed: A Statistical Electromagnetic Approach for Device-Free Indoor Speed Estimation

Feng Zhang, Chen Chen, Beibei Wang +1

Due to the severe multipath effect, no satisfactory device-free methods have ever been found for indoor speed estimation problem, especially in non-line-of-sight scenarios, where t…

cs.NI2014★ 17 cited

Data-Driven Stochastic Models and Policies for Energy Harvesting Sensor Communications

Meng-Lin Ku, Yan Chen, K. J. Ray Liu

Energy harvesting from the surroundings is a promising solution to perpetually power-up wireless sensor communications. This paper presents a data-driven approach of finding optima…

cs.SI2013★ 141 cited

Evolutionary Dynamics of Information Diffusion over Social Networks

Chunxiao Jiang, Yan Chen, K. J. Ray Liu

Current social networks are of extremely large-scale generating tremendous information flows at every moment. How information diffuse over social networks has attracted much attent…

cs.GT2013

Indian Buffet Game with Negative Network Externality and Non-Bayesian Social Learning

Chunxiao Jiang, Yan Chen, Yang Gao +1

How users in a dynamic system perform learning and make decision become more and more important in numerous research fields. Although there are some works in the social learning li…

cs.GT2013★ 175 cited

Evolutionary Information Diffusion over Social Networks

Chunxiao Jiang, Yan Chen, K. J. Ray Liu

Social networks have become ubiquitous in our daily life, as such it has attracted great research interests recently. A key challenge is that it is of extremely large-scale with tr…

cs.GT2013★ 1 cited

On Cost-Effective Incentive Mechanisms in Microtask Crowdsourcing

Yang Gao, Yan Chen, K. J. Ray Liu

While microtask crowdsourcing provides a new way to solve large volumes of small tasks at a much lower price compared with traditional in-house solutions, it suffers from quality p…

cs.GT2012★ 67 cited

Distributed Adaptive Networks: A Graphical Evolutionary Game-Theoretic View

Chunxiao Jiang, Yan Chen, K. J. Ray Liu

Distributed adaptive filtering has been considered as an effective approach for data processing and estimation over distributed networks. Most existing distributed adaptive filteri…

cs.SI2011★ 3 cited

Chinese Restaurant Game - Part II: Applications to Wireless Networking, Cloud Computing, and Online Social Networking

Chih-Yu Wang, Yan Chen, K. J. Ray Liu

In Part I of this two-part paper [1], we proposed a new game, called Chinese restaurant game, to analyze the social learning problem with negative network externality. The best res…

cs.SI2011★ 4 cited

Chinese Restaurant Game - Part I: Theory of Learning with Negative Network Externality

Chih-Yu Wang, Yan Chen, K. J. Ray Liu

In a social network, agents are intelligent and have the capability to make decisions to maximize their utilities. They can either make wise decisions by taking advantages of other…

cs.NI2011★ 2 cited

Renewal-Theoretical Dynamic Spectrum Access in Cognitive Radio Networks with Unknown Primary Behavior

Chunxiao Jiang, Yan Chen, K. J. Ray Liu +1

Dynamic spectrum access in cognitive radio networks can greatly improve the spectrum utilization efficiency. Nevertheless, interference may be introduced to the Primary User (PU) w…