Search Results for author: Guangyi Liu

Found 21 papers, 1 papers with code

A Robust Deep Learning Enabled Semantic Communication System for Text

no code implementations6 Jun 2022 Xiang Peng, Zhijin Qin, Danlan Huang, Xiaoming Tao, Jianhua Lu, Guangyi Liu, Chengkang Pan

With the advent of the 6G era, the concept of semantic communication has attracted increasing attention.

Deep Learning Enabled Semantic Communications with Speech Recognition and Synthesis

no code implementations9 May 2022 Zhenzi Weng, Zhijin Qin, Xiaoming Tao, Chengkang Pan, Guangyi Liu, Geoffrey Ye Li

In this paper, we develop a deep learning based semantic communication system for speech transmission, named DeepSC-ST. We take the speech recognition and speech synthesis as the transmission tasks of the communication system, respectively.

speech-recognition Speech Recognition +1

Robustness Analysis of Classification Using Recurrent Neural Networks with Perturbed Sequential Input

no code implementations10 Mar 2022 Guangyi Liu, Arash Amini, Martin Takac, Nader Motee

For a given stable recurrent neural network (RNN) that is trained to perform a classification task using sequential inputs, we quantify explicit robustness bounds as a function of trainable weight matrices.

Classification

Emergence of Cascading Risk and Role of Spatial Locations of Collisions in Time-Delayed Platoon of Vehicles

no code implementations29 Dec 2021 Guangyi Liu, Christoforos Somarakis, Nader Motee

We develop a framework to assess the risk of cascading collisions in a platoon of vehicles in the presence of exogenous noise and communication time-delay.

Autonomous Vehicles

Risk of Phase Incoherence in Wide Area Control of Synchronous Power Networks

no code implementations29 Dec 2021 Christoforos Somarakis, Guangyi Liu, Nader Motee

We develop a framework to quantify systemic risk measures in a class of Wide-Area-Control (WAC) laws in power networks in the presence of noisy and time-delayed sensory data.

Risk of Cascading Failures in Time-Delayed Vehicle Platooning

no code implementations5 Sep 2021 Guangyi Liu, Christoforos Somarakis, Nader Motee

We develop a systemic risk framework to explore cascading systemic failures in networked control systems.

Benchmark

Using Terminal Circuit for Power System Electromagnetic Transient Simulation

no code implementations1 Jul 2021 Yijing Liu, Xiang Zhang, Renchang Dai, Guangyi Liu

The modern power system is evolving with increasing penetration of power electronics introducing complicated electromagnetic phenomenon.

Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation

1 code implementation29 Jun 2021 Guangyi Liu, Zichao Yang, Tianhua Tao, Xiaodan Liang, Junwei Bao, Zhen Li, Xiaodong He, Shuguang Cui, Zhiting Hu

Such training objective is sub-optimal when the target sequence is not perfect, e. g., when the target sequence is corrupted with noises, or when only weak sequence supervision is available.

Machine Translation Style Transfer +3

An Intelligent Question Answering System based on Power Knowledge Graph

no code implementations16 Jun 2021 Yachen Tang, Haiyun Han, Xianmao Yu, Jing Zhao, Guangyi Liu, Longfei Wei

The intelligent question answering (IQA) system can accurately capture users' search intention by understanding the natural language questions, searching relevant content efficiently from a massive knowledge-base, and returning the answer directly to the user.

Natural Language Processing Question Answering

Power System Transient Modeling and Simulation using Integrated Circuit

no code implementations6 Jun 2021 Xiang Zhang, Renchang Dai, Peng Wei, Yijing Liu, Guangyi Liu, Zhiwei Wang

Transient stability analysis (TSA) plays an important role in power system analysis to investigate the stability of power system.

Numerical Integration

Robust Learning of Recurrent Neural Networks in Presence of Exogenous Noise

no code implementations3 May 2021 Arash Amini, Guangyi Liu, Nader Motee

However, artificial neural networks are known to exhibit poor robustness in presence of input noise, where the sequential architecture of RNNs exacerbates the problem.

Benchmark

Autonomous Charging of Electric Vehicle Fleets to Enhance Renewable Generation Dispatchability

no code implementations22 Dec 2020 Reza Bayani, Saeed D. Manshadi, Guangyi Liu, Yawei Wang, Renchang Dai

A total 19% of generation capacity in California is offered by PV units and over some months, more than 10% of this energy is curtailed.

Decision Making reinforcement-learning

A Layered Architecture for Active Perception: Image Classification using Deep Reinforcement Learning

no code implementations20 Sep 2019 Hossein K. Mousavi, Guangyi Liu, Weihang Yuan, Martin Takáč, Héctor Muñoz-Avila, Nader Motee

We propose a planning and perception mechanism for a robot (agent), that can only observe the underlying environment partially, in order to solve an image classification problem.

General Classification Image Classification +1

Enhancement of Power Equipment Management Using Knowledge Graph

no code implementations28 Apr 2019 Yachen Tang, Tingting Liu, Guangyi Liu, Jie Li, Renchang Dai, Chen Yuan

Because of data duplication, database decentralization, weak data relations, and sluggish data updates, the power asset management system eager to adopt a new strategy to avoid the information losses, bias, and improve the data storage efficiency and extraction process.

Power Market Price Forecasting via Deep Learning

no code implementations18 Sep 2018 Yongli Zhu, Songtao Lu, Renchang Dai, Guangyi Liu, Zhiwei Wang

Then the raw input and output data are preprocessed by unit scaling, and the trained network is tested on the real price data under different input lengths, forecasting horizons and data sizes.

Unbalanced Multi-Phase Distribution Grid Topology Estimation and Bus Phase Identification

no code implementations18 Sep 2018 Yizheng Liao, Yang Weng, Guangyi Liu, Zhongyang Zhao, Chin-Woo Tan, Ram Rajagopal

Then, this paper proves that the Chow-Liu algorithm finds the topology by utilizing power flow equations and the conditional independence relationships implied by the radial multi-phase structure of distribution grids with the presence of incorrect bus phase labels.

Urban MV and LV Distribution Grid Topology Estimation via Group Lasso

no code implementations6 Nov 2016 Yizheng Liao, Yang Weng, Guangyi Liu, Ram Rajagopal

The increasing penetration of distributed energy resources poses numerous reliability issues to the urban distribution grid.

Cannot find the paper you are looking for? You can Submit a new open access paper.