Search

Your search keyword '"Zhang, Lizong"' showing total 173 results
Start Over Author "Zhang, Lizong"
173 results on '"Zhang, Lizong"'

1. Complex Knowledge Base Question Answering via Structure and Content Dual-Driven Method

Author

Zhang, Jinhao, Zhang, Lizong, Zhang, Jinchuan, Xin, Yichen, Zheng, Xu, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Zhang, Wenjie, editor, Tung, Anthony, editor, Zheng, Zhonglong, editor, Yang, Zhengyi, editor, Wang, Xiaoyang, editor, and Guo, Hongjie, editor

Published
2024
Full Text
View/download PDF

2. Document-level Relation Extraction with Cross-sentence Reasoning Graph

Author

Liu, Hongfei, Kang, Zhao, Zhang, Lizong, Tian, Ling, and Hua, Fujun

Subjects
Computer Science - Computation and Language, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Computer Science - Social and Information Networks
Abstract

Relation extraction (RE) has recently moved from the sentence-level to document-level, which requires aggregating document information and using entities and mentions for reasoning. Existing works put entity nodes and mention nodes with similar representations in a document-level graph, whose complex edges may incur redundant information. Furthermore, existing studies only focus on entity-level reasoning paths without considering global interactions among entities cross-sentence. To these ends, we propose a novel document-level RE model with a GRaph information Aggregation and Cross-sentence Reasoning network (GRACR). Specifically, a simplified document-level graph is constructed to model the semantic information of all mentions and sentences in a document, and an entity-level graph is designed to explore relations of long-distance cross-sentence entity pairs. Experimental results show that GRACR achieves excellent performance on two public datasets of document-level RE. It is especially effective in extracting potential relations of cross-sentence entity pairs. Our code is available at https://github.com/UESTC-LHF/GRACR., Comment: This paper is accepted by PAKDD 2023

Published
2023

4. Behavior Recognition Based on the Integration of Multigranular Motion Features

Author

Zhang, Lizong, Wang, Yiming, Hui, Bei, Zhang, Xiujian, Liu, Sijuan, and Feng, Shuxin

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

The recognition of behaviors in videos usually requires a combinatorial analysis of the spatial information about objects and their dynamic action information in the temporal dimension. Specifically, behavior recognition may even rely more on the modeling of temporal information containing short-range and long-range motions; this contrasts with computer vision tasks involving images that focus on the understanding of spatial information. However, current solutions fail to jointly and comprehensively analyze short-range motion between adjacent frames and long-range temporal aggregations at large scales in videos. In this paper, we propose a novel behavior recognition method based on the integration of multigranular (IMG) motion features. In particular, we achieve reliable motion information modeling through the synergy of a channel attention-based short-term motion feature enhancement module (CMEM) and a cascaded long-term motion feature integration module (CLIM). We evaluate our model on several action recognition benchmarks such as HMDB51, Something-Something and UCF101. The experimental results demonstrate that our approach outperforms the previous state-of-the-art methods, which confirms its effectiveness and efficiency.

Published
2022

7. Distributionally Robust Self-scheduling of Small-Scale Virtual Power Plants Considering Seasonal Variations

Author

Deng, Yifan, Shi, Guangnan, Jiang, Wei, Li, Peng, Zhang, Lizong, Sa, Pengcheng, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Hu, Cungang, editor, and Cao, Wenping, editor

Published
2023
Full Text
View/download PDF

8. Optimization strategy for aggregating electric vehicles through VPP to participate in the carbon market

Author

JIANG Wei, SHAN Mowen, DENG Yifan, LI Peng, and ZHANG Lizong

Subjects
virtual power plant (vpp), electric vehicle, carbon market, optimized operation, certified emission reduction, electric energy market, Applications of electric power, TK4001-4102
Abstract

Virtual power plant (VPP) is an important solution for distributed energy management of power grid. VPP′s participation in carbon emission trading can give full play to its environmental benefits and improve the overall income of VPP. Based on the demand for electric vehicles to participate in the certification and emission reduction market, a coordinated scheduling optimization strategy for aggregating electric vehicles through VPP to participate in the carbon market is proposed. Firstly, design a scheme for VPP to represent electric vehicles in the certification and emission reduction market, and increase VPP revenue by charging service fees. Then, analyze the carbon emission characteristics of different aggregated resources in VPP and evaluate the volatility of new energy output by scenario generation method. Finally, with the goal of maximizing VPP revenue, design an optimization model for VPP participation in the carbon market. The aggregation of electric vehicles as controllable loads and energy storage devices can increase the stability of VPP operation. Example analysis shows that aggregating multiple types of resources including electric vehicles through VPP and participating in carbon market can not only incentivize VPP to reduce the power generation of traditional thermal power units and reduce carbon emissions generated during VPP operation, but also improve the stability of VPP operation, increase VPP revenue and social benefits through the use of electric vehicles.

Published
2023
Full Text
View/download PDF

17. Intelligent Fault Detection Method for Distribution Network Based on Logistic Regression

Author

Wu, Zhiqiang, Zhang, Lizong, Yu, Gang, Wang, Ying, Huang, Tao, Zhou, Yanfang, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Sugumaran, Vijayan, editor, Xu, Zheng, editor, and Zhou, Huiyu, editor

Published
2021
Full Text
View/download PDF

19. OSAF_e: One-Stage Anchor Free Object Detection Method Considering Effective Area

Author

Zhang, Yong, Zhang, Lizong, Rao, Zhihong, Duan, Guiduo, Wang, Chunyu, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Xu, Ruifeng, editor, De, Wang, editor, Zhong, Wei, editor, Tian, Ling, editor, Bai, Yongsheng, editor, and Zhang, Liang-Jie, editor

Published
2020
Full Text
View/download PDF

20. Attention-Based Interaction Trajectory Prediction

Author

Liu, Zhe, Zhang, Lizong, Rao, Zhihong, Liu, Guisong, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Xu, Ruifeng, editor, De, Wang, editor, Zhong, Wei, editor, Tian, Ling, editor, Bai, Yongsheng, editor, and Zhang, Liang-Jie, editor

Published
2020
Full Text
View/download PDF

21. A Forecasting Model Based on Enhanced Elman Neural Network for Air Quality Prediction

Author

Zhang, Lizong, Xie, Yinying, Chen, Aiguo, Duan, Guiduo, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Ruediger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Park, James J., editor, Loia, Vincenzo, editor, Choo, Kim-Kwang Raymond, editor, and Yi, Gangman, editor

Published
2019
Full Text
View/download PDF

22. An Anomaly Detection Algorithm for Spatiotemporal Data Based on Attribute Correlation

Author

Chen, Aiguo, Chen, Yuanfan, Lu, Guoming, Zhang, Lizong, Luo, Jiacheng, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Ruediger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Park, James J., editor, Loia, Vincenzo, editor, Choo, Kim-Kwang Raymond, editor, and Yi, Gangman, editor

Published
2019
Full Text
View/download PDF

23. Coattention-Based Recurrent Neural Networks for Sentiment Analysis of Chinese Texts

Author

Liu, Lifeng, Zhang, Lizong, Zhang, Fengming, Qian, Jianguo, Zhang, Xinxin, Chen, Peidong, Li, Bo, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, and Qiu, Meikang, editor

Published
2019
Full Text
View/download PDF

26. Knowledge Reasoning for Decision Support (KRDS) in Healthcare Environment

Author

Alharbe, Nawaf, Zhang, Lizong, Atkins, Anthony S., Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio S., Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Advisory editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, Choudhary, Ramesh K., editor, Mandal, Jyotsna Kumar, editor, and Bhattacharyya, Dhananjay, editor

Published
2018
Full Text
View/download PDF

27. Anomaly Detection for Power Grid Based on Network Flow

Author

Zhang, Lizong, Shen, Xiang, Zhang, Fengming, Ren, Minghui, Li, Bo, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, and Qiu, Meikang, editor

Published
2018
Full Text
View/download PDF

33. A technology hub for auditing and tracking objects using RFID technology in waste management applications

Author

Zhang, Lizong

Subjects
363.7280285
Abstract

Protection of the environment is one of the most sensitive topics of recent years and is resulting in more effective recycling and reuse of materials. Simply disposing of waste through landfill or burning, as was the historically case, will damage our environment. Waste disposal systems usually lack automatic logistic support feature, which can result in high transportation cost, low recycling rates and/or fly-tipping. Some waste material such as plasterboard has a low recycling rate because of the high recycling cost and transport fees. The UK generates more than 1 Mt of plasterboard waste from construction and demolition sector per annum, and only 7%, or about 70,000 tonnes are recycled. This thesis conducts research on developing a 'Technology Hub' framework for using emerging technology (such as RFID) in waste management sector that aims to help the recycling rate by tracking and verification of the waste movement in order to prevent fly -tipping and illegal disposal. The framework developed in this research is in two formats: 'Technology view framework' classifies the technologies by their functionality, and can be used as a tool to determine the technologies for certain systems; ' Network view framework' focuses on the system structure and data flow in the system, and the relationship between each component. In order to evaluate the proposed framework, RFID technology has been examined in this research by experiments, which indicates the RFID technology is able to be used in waste management scenarios, and enable 'automatic feature' for the systems based on the framework. In addition, a software module for control of RFID equipment linked with knowledge-based system is developed. A framework has been developed and three case studies from two hospitals and waste recycling companies are used to validate the system. Two of the novel waste management systems are developed for evaluation purpose, with RFID technology and knowledge-based technology: Firstly, a plasterboard waste management system for a local waste recycling company to improve their waste management, and secondly, for a Chinese Hospital to prevent the loss of contaminated waste during the internal transportation process. The third case study was introduced to evaluate the extensionality of the framework by developing a Smart Hospital System for human tracking applications that tracks patients from ward to theatre in order to improve the hospital MIS system.

Published
2012

Catalog

Books, media, physical & digital resources
See catalog results