22 citations · 64 across the 17 of their papers we have counts for
17 papers
Interpretable Data Fusion for Distributed Learning: A Representative Approach via Gradient Matching
Mengchen Fan, Baocheng Geng, Keren Li +2
This paper introduces a representative-based approach for distributed learning that transforms multiple raw data points into a virtual representation. Unlike traditional distribute…
On Distributed and Asynchronous Sampling of Gaussian Processes for Sequential Binary Hypothesis Testing
Nandan Sriranga, Saikiran Bulusu, Baocheng Geng +1
In this work, we consider a binary sequential hypothesis testing problem with distributed and asynchronous measurements. The aim is to analyze the effect of sampling times of joint…
Distributed Quantized Detection of Sparse Signals Under Byzantine Attacks
Chen Quan, Yunghsiang S. Han, Baocheng Geng +1
This paper investigates distributed detection of sparse stochastic signals with quantized measurements under Byzantine attacks. Under this type of attack, sensors in the networks m…
Human-machine Hierarchical Networks for Decision Making under Byzantine Attacks
Chen Quan, Baocheng Geng, Yunghsiang S. Han +1
This paper proposes a belief-updating scheme in a human-machine collaborative decision-making network to combat Byzantine attacks. A hierarchical framework is used to realize the n…
Sequential Processing of Observations in Human Decision-Making Systems
Nandan Sriranga, Baocheng Geng, Pramod K. Varshney
In this work, we consider a binary hypothesis testing problem involving a group of human decision-makers. Due to the nature of human behavior, each human decision-maker observes th…
Loss Attitude Aware Energy Management for Signal Detection
Baocheng Geng, Chen Quan, Tianyun Zhang +2
This work considers a Bayesian signal processing problem where increasing the power of the probing signal may cause risks or undesired consequences. We employ a market based approa…
Human-Machine Collaboration for Smart Decision Making: Current Trends and Future Opportunities
Baocheng Geng, Pramod K. Varshney
Recently, modeling of decision making and control systems that include heterogeneous smart sensing devices (machines) as well as human agents as participants is becoming an importa…
Efficient Ordered-Transmission Based Distributed Detection under Data Falsification Attacks
Chen Quan, Nandan Sriranga, Haodong Yang +3
In distributed detection systems, energy-efficient ordered transmission (EEOT) schemes are able to reduce the number of transmissions required to make a final decision. In this wor…
Reputation and Audit Bit Based Distributed Detection in the Presence of Byzantine
Chen Quan, Yunghsiang S. Han, Baocheng Geng +1
In this paper, two reputation based algorithms called Reputation and audit based clustering (RAC) algorithm and Reputation and audit based clustering with auxiliary anchor node (RA…
Distributed Estimation in Large Scale Wireless Sensor Networks via a Two Step Group-based Approach
Shan Zhang, Pranay Sharma, Baocheng Geng +1
We consider the problem of collaborative distributed estimation in a large scale sensor network with statistically dependent sensor observations. In collaborative setup, the aim is…
Ordered Transmission-based Detection in Distributed Networks in the Presence of Byzantines
Chen Quan, Saikiran Bulusu, Baocheng Geng +1
The ordered transmission (OT) scheme reduces the number of transmissions needed in the network to make the final decision, while it maintains the same probability of error as the s…
Enhanced Audit Bit Based Distributed Bayesian Detection in the Presence of Strategic Attacks
Chen Quan, Baocheng Geng, Yunghsiang S. Han +1
This paper employs an audit bit based mechanism to mitigate the effect of Byzantine attacks. In this framework, the optimal attacking strategy for intelligent attackers is investig…
Joint Collaboration and Compression Design for Distributed Sequential Estimation in a Wireless Sensor Network
Xiancheng Cheng, Prashant Khanduri, Boxiao Chen +1
In this work, we propose a joint collaboration-compression framework for sequential estimation of a random vector parameter in a resource constrained wireless sensor network (WSN).…
A Novel Spectrally-Efficient Uplink Hybrid-Domain NOMA System
Chen Quan, Animesh Yadav, Baocheng Geng +2
This paper proposes a novel hybrid-domain (HD) non-orthogonal multiple access (NOMA) approach to support a larger number of uplink users than the recently proposed code-domain NOMA…
Prospect Theory Based Crowdsourcing for Classification in the Presence of Spammers
Baocheng Geng, Qunwei Li, Pramod K. Varshney
We consider the -ary classification problem via crowdsourcing, where crowd workers respond to simple binary questions and the answers are aggregated via decision fusion. The wor…
Fusion of Deep Neural Networks for Activity Recognition: A Regular Vine Copula Based Approach
Shan Zhang, Baocheng Geng, Pramod K. Varshney +1
In this paper, we propose regular vine copula based fusion of multiple deep neural network classifiers for the problem of multi-sensor based human activity recognition. We take the…
Decision Tree Design for Classification in Crowdsourcing Systems
Baocheng Geng, Qunwei Li, Pramod K. Varshney
In this paper, we present a novel sequential paradigm for classification in crowdsourcing systems. Considering that workers are unreliable and they perform the tests with errors, w…