Search Results for author: Jie Huang

Found 24 papers, 6 papers with code

An unsupervised approach for semantic place annotation of trajectories based on the prior probability

no code implementations20 Apr 2022 Junyi Cheng, Xianfeng Zhang, Peng Luo, Jie Huang, Jianfeng Huang

The Bayesian Criterion is specifically employed to decompose the spatiotemporal probability of the candidate place into spatial probability, duration probability, and visiting time probability.

A Novel 3D Non-Stationary Channel Model for 6G Indoor Visible Light Communication Systems

no code implementations6 Apr 2022 Xiuming Zhu, Cheng-Xiang Wang, Jie Huang, Ming Chen, Harald Haas

The visible light communication (VLC) technology has attracted much attention in the research of the sixth generation (6G) communication systems.

Domain Representative Keywords Selection: A Probabilistic Approach

1 code implementation Findings (ACL) 2022 Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang, Yunyao Li, Lucian Popa, ChengXiang Zhai

We propose a probabilistic approach to select a subset of a \textit{target domain representative keywords} from a candidate set, contrasting with a context domain.

CD-GAN: a robust fusion-based generative adversarial network for unsupervised change detection between heterogeneous images

no code implementations2 Mar 2022 Jin-Ju Wang, Nicolas Dobigeon, Marie Chabert, Ding-Cheng Wang, Jie Huang, Ting-Zhu Huang

In the context of Earth observation, the detection of changes is performed from multitemporal images acquired by sensors with possibly different characteristics and modalities.

Change Detection Frame

Understanding Jargon: Combining Extraction and Generation for Definition Modeling

no code implementations14 Nov 2021 Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang, JinJun Xiong, Wen-mei Hwu

From the composition of this phrase, machines may guess twin prime is a certain kind of prime, but it is still difficult to deduce exactly what twin stands for without additional knowledge.

Text Generation

Open Relation Modeling: Learning to Define Relations between Entities

1 code implementation Findings (ACL) 2022 Jie Huang, Kevin Chen-Chuan Chang, JinJun Xiong, Wen-mei Hwu

Relations between entities can be represented by different instances, e. g., a sentence containing both entities or a fact in a Knowledge Graph (KG).

Multi-Frequency Wireless Channel Measurements and Characteristics Analysis in Indoor Corridor Scenarios

no code implementations14 Aug 2021 ZiHao Zhou, Li Zhang, Xinyue Chen, Cheng-Xiang Wang, Jie Huang

In this paper, we conduct wireless channel measurements in indoor corridor scenarios at 2. 4, 5 and 6 GHz bands with bandwidth of 320 MHz.

A Novel 3D Non-Stationary GBSM for 6G THz Ultra-Massive MIMO Wireless Systems

no code implementations14 Aug 2021 Jun Wang, Cheng-Xiang Wang, Jie Huang, Haiming Wang, Xiqi Gao, Xiaohu You, Yang Hao

Terahertz (THz) communication is now being considered as one of possible technologies for the sixth generation (6G) wireless communication systems.

Three-dimensional instantaneous orbit map for rotor-bearing system based on a novel multivariate complex variational mode decomposition algorithm

no code implementations29 Jul 2021 Xiaolong Cui, Jie Huang, Chaoshun Li, Yujie Zhao

It can simultaneously extract the forward and backward components of multiple bearing sections and realize non-stationary complex signal decomposition of multiple bearing sections of the rotor.

Space-Time Distillation for Video Super-Resolution

no code implementations CVPR 2021 Zeyu Xiao, Xueyang Fu, Jie Huang, Zhen Cheng, Zhiwei Xiong

In this paper, we aim to improve the performance of compact VSR networks without changing their original architectures, through a knowledge distillation approach that transfers knowledge from a complicated VSR network to a compact one.

Knowledge Distillation Video Super-Resolution

Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach

1 code implementation ACL 2021 Jie Huang, Kevin Chen-Chuan Chang, JinJun Xiong, Wen-mei Hwu

To support a fine-grained domain without relying on a matching corpus for supervision, we develop hierarchical core-fringe learning, which learns core and fringe terms jointly in a semi-supervised manner contextualized in the hierarchy of the domain.

A 3D Non-Stationary Channel Model for 6G Wireless Systems Employing Intelligent Reflecting Surfaces with Practical Phase Shifts

no code implementations25 Apr 2021 Yingzhuo Sun, Cheng-Xiang Wang, Jie Huang, Jun Wang

In this paper, a three-dimensional (3D) geometry based stochastic model (GBSM) for a massive multiple-input multiple-output (MIMO) communication system employing practical discrete intelligent reflecting surface (IRS) is proposed.

A Multi-Size Neural Network with Attention Mechanism for Answer Selection

no code implementations24 Apr 2021 Jie Huang

The experimental results show that (1) multi-size neural network (MSNN) is a more useful method to capture abstract features on different levels of granularities than single/multi-layer CNNs; (2) the attention mechanism (AM) is a better strategy to derive more informative representations; (3) AM-MSNN is a better architecture for the answer selection task for the moment.

Answer Selection

A General 3D Space-Time-Frequency Non-Stationary THz Channel Model for 6G Ultra-Massive MIMO Wireless Communication Systems

no code implementations20 Apr 2021 Jun Wang, Cheng-Xiang Wang, Jie Huang, Haiming Wang, Xiqi Gao

The proposed THz channel model is very general having the capability to capture different channel characteristics in multiple THz application scenarios such as indoor scenarios, device-to-device (D2D) communications, ultra-massive multiple-input multiple-output (MIMO) communications, and long traveling paths of users.

A 3D Non-Stationary Channel Model for 6G Wireless Systems Employing Intelligent Reflecting Surface

no code implementations3 Dec 2020 Yingzhuo Sun, Cheng-Xiang Wang, Jie Huang, Jun Wang

The evolution of clusters on the linear array and planar array is also considered in the proposed model.

Multi-Frequency Multi-Scenario Millimeter Wave MIMO Channel Measurements and Modeling for B5G Wireless Communication Systems

no code implementations28 Jul 2020 Jie Huang, Cheng-Xiang Wang, Hengtai Chang, Jian Sun, Xiqi Gao

Millimeter wave (mmWave) bands have been utilized for the fifth generation (5G) communication systems and will no doubt continue to be deployed for beyond 5G (B5G).

6G Oriented Wireless Communication Channel Characteristics Analysis and Modeling

no code implementations28 Jul 2020 Cheng-Xiang Wang, Jie Huang, Haiming Wang, Xiqi Gao, Xiaohu You, Yang Hao

Based on the vision on the 6G wireless communication network, i. e., global coverage, all spectrums and all applications, we comprehensively survey 6G related wireless channel measurements, channel characteristics, and channel models for all frequency bands and all scenarios.

A Big Data Enabled Channel Model for 5G Wireless Communication Systems

no code implementations28 Feb 2020 Jie Huang, Cheng-Xiang Wang, Lu Bai, Jian Sun, Yang Yang, Jie Li, Olav Tirkkonen, Ming-Tuo Zhou

This paper investigates various applications of big data analytics, especially machine learning algorithms in wireless communications and channel modeling.

Hyper-Path-Based Representation Learning for Hyper-Networks

1 code implementation24 Aug 2019 Jie Huang, Xin Liu, Yangqiu Song

Then a carefully designed algorithm, Hyper-gram, utilizes these random walks to capture both pairwise relationships and tuplewise relationships in the whole hyper-networks.

Link Prediction Representation Learning

Video-based Sign Language Recognition without Temporal Segmentation

no code implementations30 Jan 2018 Jie Huang, Wengang Zhou, Qilin Zhang, Houqiang Li, Weiping Li

Worse still, isolated SLR methods typically require strenuous labeling of each word separately in a sentence, severely limiting the amount of attainable training data.

Sign Language Recognition

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