Search Results for author: Guangyi Liu

Found 43 papers, 5 papers with code

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

1 code implementation NAACL 2022 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 +2

Knowledge-Enhanced Recommendation with User-Centric Subgraph Network

1 code implementation21 Mar 2024 Guangyi Liu, Quanming Yao, Yongqi Zhang, Lei Chen

Recommendation systems, as widely implemented nowadays on various platforms, recommend relevant items to users based on their preferences.

Collaborative Filtering Recommendation Systems

Digital Twin Channel for 6G: Concepts, Architectures and Potential Applications

no code implementations19 Mar 2024 Heng Wang, Jianhua Zhang, Gaofeng Nie, Li Yu, Zhiqiang Yuan, Tongjie Li, Jialin Wang, Guangyi Liu

Digital twin channel (DTC) is the real-time mapping of a wireless channel from the physical world to the digital world, which is expected to provide significant performance enhancements for the sixth-generation (6G) air-interface design.

Generating, Reconstructing, and Representing Discrete and Continuous Data: Generalized Diffusion with Learnable Encoding-Decoding

no code implementations29 Feb 2024 Guangyi Liu, Yu Wang, Zeyu Feng, Qiyu Wu, Liping Tang, Yuan Gao, Zhen Li, Shuguang Cui, Julian McAuley, Eric P. Xing, Zichao Yang, Zhiting Hu

The vast applications of deep generative models are anchored in three core capabilities -- generating new instances, reconstructing inputs, and learning compact representations -- across various data types, such as discrete text/protein sequences and continuous images.

Denoising

Risk of Cascading Collisions in Network of Vehicles with Delayed Communication

no code implementations28 Dec 2023 Guangyi Liu, Christoforos Somarakis, Nader Motee

This work explores cascading failures in networked control systems by employing a platoon of vehicles that exchange information over a time-delayed communication graph as a model.

Towards 6G Digital Twin Channel Using Radio Environment Knowledge Pool

no code implementations16 Dec 2023 Jialin Wang, Jianhua Zhang, Yuxiang Zhang, Yutong Sun, Gaofeng, Nie, Lianzheng Shi, Ping Zhang, Guangyi Liu

The digital twin channel (DTC) is crucial for 6G wireless autonomous networks as it replicates the wireless channel fading states in 6G air interface transmissions.

2D Human Pose Estimation

How to Extend 3D GBSM to Integrated Sensing and Communication Channel with Sharing Feature?

no code implementations25 Oct 2023 Yameng Liu, Jianhua Zhang, Yuxiang Zhang, Huiwen Gong, Tao Jiang, Guangyi Liu

The proposed approach can be summarized as follows: Firstly, an ISAC channel model is proposed, where shared and non-shared components are superimposed for both communication and sensing.

Quantification of Distributionally Robust Risk of Cascade of Failures in Platoon of Vehicles

no code implementations10 Sep 2023 Vivek Pandey, Guangyi Liu, Arash Amini, Nader Motee

In this paper, we propose a distributionally robust risk framework to investigate cascading failures in platoons.

Autonomous Vehicles

Channel Measurement, Modeling, and Simulation for 6G: A Survey and Tutorial

no code implementations26 May 2023 Jianhua Zhang, Jiaxin Lin, Pan Tang, Yuxiang Zhang, Huixin Xu, Tianyang Gao, Haiyang Miao, Zeyong Chai, Zhengfu Zhou, Yi Li, Huiwen Gong, Yameng Liu, Zhiqiang Yuan, Lei Tian, Shaoshi Yang, Liang Xia, Guangyi Liu, Ping Zhang

Then, a survey of the progress of the 6G channel research regarding the above five promising technologies is presented in terms of the latest measurement campaigns, new characteristics, modeling methods, and research prospects.

Multistatic Integrated Sensing and Communication System in Cellular Networks

no code implementations22 May 2023 Zixiang Han, Lincong Han, Xiaozhou Zhang, Yajuan Wang, Liang Ma, Mengting Lou, Jing Jin, Guangyi Liu

A novel multistatic multiple-input multiple-output (MIMO) integrated sensing and communication (ISAC) system in cellular networks is proposed.

Position

Multi-User Matching and Resource Allocation in Vision Aided Communications

no code implementations18 Apr 2023 Weihua Xu, Feifei Gao, Yong Zhang, Chengkang Pan, Guangyi Liu

Visual perception is an effective way to obtain the spatial characteristics of wireless channels and to reduce the overhead for communications system.

Symbolic Perception Risk in Autonomous Driving

no code implementations16 Mar 2023 Guangyi Liu, Disha Kamale, Cristian-Ioan Vasile, Nader Motee

We develop a novel framework to assess the risk of misperception in a traffic sign classification task in the presence of exogenous noise.

Autonomous Driving

Cascading Waves of Fluctuation in Time-delay Multi-agent Rendezvous

no code implementations15 Mar 2023 Guangyi Liu, Vivek Pandey, Christoforos Somarakis, Nader Motee

We develop a framework to assess the risk of cascading failures when a team of agents aims to rendezvous in time in the presence of exogenous noise and communication time-delay.

How to Extend 3D GBSM to RIS Cascade Channel with Non-ideal Phase Modulation?

no code implementations15 Feb 2023 Huiwen Gong, Jianhua Zhang, Yuxiang Zhang, Zhengfu Zhou, Guangyi Liu

In the modeling process, we consider the non-ideal phase modulation of the RIS element, so as to accurately characterize the dependence of its phase modulation on the incoming wave angle.

Vision Aided Environment Semantics Extraction and Its Application in mmWave Beam Selection

no code implementations21 Jan 2023 Feiyang Wen, Weihua Xu, Feifei Gao, Chengkang Pan, Guangyi Liu

In this letter, we propose a novel mmWave beam selection method based on the environment semantics extracted from user-side camera images.

Keypoint Detection

Environment Semantics Aided Wireless Communications: A Case Study of mmWave Beam Prediction and Blockage Prediction

no code implementations14 Jan 2023 Yuwen Yang, Feifei Gao, Xiaoming Tao, Guangyi Liu, Chengkang Pan

In this paper, we propose an environment semantics aided wireless communication framework to reduce the transmission latency and improve the transmission reliability, where semantic information is extracted from environment image data, selectively encoded based on its task-relevance, and then fused to make decisions for channel related tasks.

feature selection

A Generalized Semantic Communication System: from Sources to Channels

no code implementations11 Jan 2023 Zhijin Qin, Feifei Gao, Bo Lin, Xiaoming Tao, Guangyi Liu, Chengkang Pan

This article introduces a framework for generalized semantic communication system, which exploits the semantic information in both the multimodal source and the wireless channel environment.

Capacity Analysis of Holographic MIMO Channels with Practical Constraints

no code implementations29 Dec 2022 Yuan Zhang, Jianhua Zhang, Yuxiang Zhang, Yuan YAO, Guangyi Liu

However, the channel might not satisfy isotropic scattering because of generalized angle distributions, and the antenna gain is limited by the array aperture in reality.

A Shared Cluster-based Stochastic Channel Model for Joint Communication and Sensing Systems

no code implementations12 Nov 2022 Yameng Liu, Jianhua Zhang, Yuxiang Zhang, Zhiqiang Yuan, Guangyi Liu

Then, a stochastic JCAS channel model is proposed to capture the sharing feature, where shared and non-shared clusters by the two channels are defined and superimposed.

Multi-Camera View Based Proactive BS Selection and Beam Switching for V2X

no code implementations12 Jul 2022 Bo Lin, Feifei Gao, Yong Zhang, Chengkang Pan, Guangyi Liu

In this paper, we proposed a multi-camera view based proactive BS selection and beam switching that can predict the optimal BS of the user in the future frame and switch the corresponding beam pair.

Multi-Task Learning

Frequency-Angle Two-Dimensional Reflection Coefficient Modeling Based on Terahertz Channel Measurement

no code implementations11 Jul 2022 Zhaowei Chang, Jianhua Zhang, Pan Tang, Lei Tian, Li Yu, Guangyi Liu, Liang Xia

In this letter, the reflection coefficient of the THz channel is researched based on extensive measurement campaigns.

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

1 code implementation9 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.

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.

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.

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

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 +2

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.

Asset Management Retrieval

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.

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