10 citations · 35 across the 19 of their papers we have counts for
19 papers
Instrumental Variable Approach to Estimating Individual Causal Effects in N-of-1 Trials: Application to ISTOP Study
Kexin Qu, Christopher H. Schmid, Tao Liu
An N-of-1 trial is a multiple crossover trial conducted in a single individual to provide evidence to directly inform personalized treatment decisions. Advancements in wearable dev…
Cooperative Control of Multi-Channel Linear Systems with Self-Organizing Private Agents
Peihu Duan, Tao Liu, Yuezu Lv +1
Cooperative behavior design for multi-agent systems with collective tasks is a critical issue in promoting swarm intelligence. This paper investigates cooperative control for a mul…
Trip-based mobile sensor deployment for drive-by sensing with bus fleets
Wen Ji, Ke Han, Tao Liu
Drive-by sensing (i.e. vehicle-based mobile sensing) is an emerging data collection paradigm that leverages vehicle mobilities to scan a city at low costs. It represents a positive…
A survey of urban drive-by sensing: An optimization perspective
Wen Ji, Ke Han, Tao Liu
Pervasive and mobile sensing is an integral part of smart transport and smart city applications. Vehicle-based mobile sensing, or drive-by sensing (DS), is gaining popularity in bo…
Consensus-based Frequency and Voltage Regulation for Fully Inverter-based Islanded Microgrids
Y. Cheng, Tao Liu, David J. Hill +1
This paper proposes a new distributed consensus-based control method for voltage and frequency control of fully inverter-based islanded microgrids (MGs). The proposed method includ…
ATC-Based Scenario Decomposition Algorithm for Optimal Power Flow of Distribution Networks Considering High Photovoltaic Penetration
Xiemin Mo, Tao Liu, Xue Lyu
This paper focuses on the analytical target cascading (ATC) based scenario decomposition method which applies to the stochastic OPF problem of distribution networks with high photo…
Rethinking the Defense Against Free-rider Attack From the Perspective of Model Weight Evolving Frequency
Jinyin Chen, Mingjun Li, Tao Liu +3
Federated learning (FL) is a distributed machine learning approach where multiple clients collaboratively train a joint model without exchanging their data. Despite FL's unpreceden…
Distributed exponential state estimation of linear systems over jointly connected switching networks
Tao Liu, Jie Huang
Recently, the distributed state estimation problem for continuous-time linear systems over jointly connected switching networks was solved. It was shown that the estimation errors…
Autonomous Bikebot Control for Crossing Obstacles with Assistive Leg Impulsive Actuation
Feng Han, Xinyan Huang, Zenghao Wang +2
As a single-track mobile platform, bikebot (i.e., bicycle-based robot) has attractive navigation capability to pass through narrow, off-road terrain with high-speed and high-energy…
Coordinated Pose Control of Mobile Manipulation with an Unstable Bikebot Platform
Feng Han, Alborz Jelvani, Jingang Yi +1
Bikebot manipulation has advantages of the single-track robot mobility and manipulation dexterity. We present a coordinated pose control of mobile manipulation with the stationary…
Energy Harvesting Aware Multi-hop Routing Policy in Distributed IoT System Based on Multi-agent Reinforcement Learning
Wen Zhang, Tao Liu, Mimi Xie +3
Energy harvesting technologies offer a promising solution to sustainably power an ever-growing number of Internet of Things (IoT) devices. However, due to the weak and transient na…
A Review of Landcover Classification with Very-High Resolution Remotely Sensed Optical Images-Analysis Unit,Model Scalability and Transferability
Rongjun Qin, Tao Liu
As an important application in remote sensing, landcover classification remains one of the most challenging tasks in very-high-resolution (VHR) image analysis. As the rapidly incre…
Sensing population distribution from satellite imagery via deep learning: model selection, neighboring effect, and systematic biases
Xiao Huang, Di Zhu, Fan Zhang +3
The rapid development of remote sensing techniques provides rich, large-coverage, and high-temporal information of the ground, which can be coupled with the emerging deep learning…
MLPs to Find Extrema of Functionals
Tao Liu
Multilayer perceptron (MLP) is a class of networks composed of multiple layers of perceptrons, and it is essentially a mathematical function. Based on MLP, we develop a new numeric…
BHN: A Brain-like Heterogeneous Network
Tao Liu
The human brain works in an unsupervised way, and more than one brain region is essential for lighting up intelligence. Inspired by this, we propose a brain-like heterogeneous netw…
Distributed Optimal Generation and Load-Side Control for Frequency Regulation in Power Systems
Luwei Yang, Tao Liu, Zhiyuan Tang +1
In order to deal with issues caused by the increasing penetration of renewable resources in power systems, this paper proposes a novel distributed frequency control algorithm for e…
Voice-Face Cross-modal Matching and Retrieval: A Benchmark
Chuyuan Xiong, Deyuan Zhang, Tao Liu +1
Cross-modal associations between voice and face from a person can be learnt algorithmically, which can benefit a lot of applications. The problem can be defined as voice-face match…
Logic Bugs in IoT Platforms and Systems: A Review
Wei Zhou, Chen Cao, Dongdong Huo +9
In recent years, IoT platforms and systems have been rapidly emerging. Although IoT is a new technology, new does not mean simpler (than existing networked systems). Contrarily, th…
UER: An Open-Source Toolkit for Pre-training Models
Zhe Zhao, Hui Chen, Jinbin Zhang +7
Existing works, including ELMO and BERT, have revealed the importance of pre-training for NLP tasks. While there does not exist a single pre-training model that works best in all c…