


default search action
KSEM 2021: Tokyo, Japan
- Han Qiu, Cheng Zhang, Zongming Fei, Meikang Qiu

, Sun-Yuan Kung:
Knowledge Science, Engineering and Management - 14th International Conference, KSEM 2021, Tokyo, Japan, August 14-16, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12815, Springer 2021, ISBN 978-3-030-82135-7
Knowledge Science with Learning and AI (KSLA)
- Xingwang Wang

, Tingting Yu
:
Research on Innovation Trends of AI Applied to Medical Instruments Using Informetrics Based on Multi-sourse Information. 3-12 - Cheng Hu

, Kui Xiao
, Zesong Wang, Shihui Wang, Qifeng Li:
Extracting Prerequisite Relations Among Wikipedia Concepts Using the Clickstream Data. 13-26 - Qingchao Zhao, Jing Yang, Zhengkui Wang, Yan Chu

, Wen Shan, Isfaque Al Kaderi Tuhin:
Clustering Massive-Categories and Complex Documents via Graph Convolutional Network. 27-39 - Yunke Zhang, Zhiwei Yang

, Bo Yu, Hechang Chen, Yang Li, Xuehua Zhao
:
Structure-Enhanced Graph Representation Learning for Link Prediction in Signed Networks. 40-52 - Ya Wang, Cungen Cao, Yuting Cao, Shi Wang:

A Property-Based Method for Acquiring Commonsense Knowledge. 53-65 - Xingyu Liu, Runyu Guan, Tao Wang, Le Han, Yu Qin, Yi Wang:

Multi-hop Learning Promote Cooperation in Multi-agent Systems. 66-77 - Mulin Xu:

FedPS: Model Aggregation with Pseudo Samples. 78-88 - Weidong Zou

, Yuanqing Xia
, Meikang Qiu
, Weipeng Cao
:
Dense Incremental Extreme Learning Machine with Accelerating Amount and Proportional Integral Differential. 89-100 - Yubao Tang, Zhezhou Li, Cong Cao

, Fang Fang, Yanan Cao, Yanbing Liu
, Jianhui Fu:
Knowledge-Based Diverse Feature Transformation for Few-Shot Relation Classification. 101-114 - Fan Zhang, Junyou Zhu, Zheng Luo, Zhen Wang, Li Tao, Chao Gao:

Community Detection in Dynamic Networks: A Novel Deep Learning Method. 115-127 - Jing Yang, Gaojin Fan, Kai Xie, Qiqi Chen, Aiguo Wang

:
Additive Noise Model Structure Learning Based on Rank Statistics. 128-139 - Yibing Zhao, Wenjun Ma, Yuncheng Jiang, Jieyu Zhan:

A MOOCs Recommender System Based on User's Knowledge Background. 140-153 - Jianbin Li, Ketong Qu, Jingchen Yan, Liting Zhou

, Long Cheng
:
TEBC-Net: An Effective Relation Extraction Approach for Simple Question Answering over Knowledge Graphs. 154-165 - Wenying Feng

, Daren Zha, Xiaobo Guo, Yao Dong
, Yuanye He:
Representing Knowledge Graphs with Gaussian Mixture Embedding. 166-178 - Ze Yin, Yue Deng, Fan Zhang, Zheng Luo, Peican Zhu

, Chao Gao:
A Semi-supervised Multi-objective Evolutionary Algorithm for Multi-layer Network Community Detection. 179-190 - Shi Peng, Yong Zhang, Yuanfang Yu, Haoyang Zuo, Kai Zhang:

Named Entity Recognition Based on Reinforcement Learning and Adversarial Training. 191-202 - Ding Sun, Zhen Huang, Dongsheng Li, Xiangyu Ye, Yilin Wang:

Improved Partitioning Graph Embedding Framework for Small Cluster. 203-215 - Xiaohan Zhang, Xinning Zhu, Jie Wu, Zheng Hu, Chunhong Zhang:

A Framework of Data Fusion Through Spatio-Temporal Knowledge Graph. 216-228 - Xinyi Xu, Yan Tang, Zhuoming Xu

:
SEGAR: Knowledge Graph Augmented Session-Based Recommendation. 229-241 - Haizhou Du, Yue Tang:

Symbiosis: A Novel Framework for Integrating Hierarchies from Knowledge Graph into Recommendation System. 242-254 - Wei-Peng Cao, Sheng-Dong Li, Cheng-Chao Huang, Yu-Hao Wu, Qiang Wang, Da-Chuan Li, Ye Liu:

An Ensemble Fuzziness-Based Online Sequential Learning Approach and Its Application. 255-267 - Mengdan Wang, Chao Peng, Rui Yang, Chenchao Wang, Yao Chen, Xiaohua Yu:

GASKT: A Graph-Based Attentive Knowledge-Search Model for Knowledge Tracing. 268-279 - Renjie Zhu, Ping Wei, Sheng Li, Zhaoxia Yin, Xinpeng Zhang, Zhenxing Qian

:
Fragile Neural Network Watermarking with Trigger Image Set. 280-293 - Yashen Wang, Huanhuan Zhang:

Introducing Graph Neural Networks for Few-Shot Relation Prediction in Knowledge Graph Completion Task. 294-306 - Arpad Kerestely, Alexandra Baicoianu

, Razvan Bocu
:
A Research Study on Running Machine Learning Algorithms on Big Data with Spark. 307-318 - Xiaowu Zhang, Li Li:

Attentional Neural Factorization Machines for Knowledge Tracing. 319-330 - Di Qiao, Wu Yang, Wei Wang:

Node-Image CAE: A Novel Embedding Method via Convolutional Auto-encoder and High-Order Proximities. 331-345 - Yuejia Wu, Jiantao Zhou:

EN-DIVINE: An Enhanced Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning. 346-356 - Bo Li, Bin Chen, Yunxiao Wang

, Tao Dai, Maowei Hu, Yong Jiang, Shutao Xia:
Knowledge Distillation via Channel Correlation Structure. 357-368 - Jiachuan Li

, Aimin Li
, Teng Liu
:
Feature Interaction Convolutional Network for Knowledge Graph Embedding. 369-380 - Emna Ben Abdallah

, Khouloud Boukadi
, Rima Grati
:
Towards a Modular Ontology for Cloud Consumer Review Mining. 381-394 - Shihong Jiang, Zheng Luo, Ze Yin, Zhen Wang, Songxin Wang, Chao Gao:

Identification of Critical Nodes in Urban Transportation Network Through Network Topology and Server Routes. 395-407 - Hui Tang, Xun Liang, Bo Wu, Zhenyu Guan, Yuhui Guo

, Xiangping Zheng:
Graph Ensemble Networks for Semi-supervised Embedding Learning. 408-420 - Xinyu Jiang, Chongyang Shi, Shufeng Hao, Dequan Yang, Chaoqun Feng:

Rethinking the Information Inside Documents for Sentiment Classification. 421-432 - Zekun Li

, Nianwen Ning
, Chengcheng Peng, Bin Wu
:
Dependency Parsing Representation Learning for Open Information Extraction. 433-444 - Mingming Zheng, Yanquan Zhou, Qingyao Cui:

Hierarchical Policy Network with Multi-agent for Knowledge Graph Reasoning Based on Reinforcement Learning. 445-457 - ShaoLin Zhu, Chenggang Mi, Linlin Zhang:

Inducing Bilingual Word Representations for Non-isomorphic Spaces by an Unsupervised Way. 458-466 - Jing Liao, Zhixiang Yi:

A Deep Learning Model Based on Neural Bag-of-Words Attention for Sentiment Analysis. 467-478 - Cong Ding, Xiao Wei

, Yongqi Chen, Rui Zhao:
Graph Attention Mechanism with Cardinality Preservation for Knowledge Graph Completion. 479-490 - Tingting Tang, Wei Liu, Weimin Li, Jinliang Wu, Haiyang Ren:

Event Relation Reasoning Based on Event Knowledge Graph. 491-503 - Dou Hu

, Lingwei Wei
, Wei Zhou, Xiaoyong Huai, Zhiqi Fang, Songlin Hu:
PEN4Rec: Preference Evolution Networks for Session-Based Recommendation. 504-516 - Yao Dong

, Xiaobo Guo, Ji Xiang, Kai Liu, Zhihao Tang:
HyperspherE: An Embedding Method for Knowledge Graph Completion Based on Hypersphere. 517-528 - Ziye Zhu, Yu Wang

, Yun Li:
TroBo: A Novel Deep Transfer Model for Enhancing Cross-Project Bug Localization. 529-541 - Yuhong He, Yan Tang:

A Neural Language Understanding for Dialogue State Tracking. 542-552 - Zhiyuan Wu

, Yu Jiang, Minghao Zhao, Chupeng Cui, Zongmin Yang, Xinhui Xue, Hong Qi:
Spirit Distillation: A Model Compression Method with Multi-domain Knowledge Transfer. 553-565 - Nan Zhang, Li Li:

Knowledge Tracing with Exercise-Enhanced Key-Value Memory Networks. 566-577 - Xiuting Song, Han Zhang, Luyi Bai:

Entity Alignment Between Knowledge Graphs Using Entity Type Matching. 578-589 - Gang Qiu

, Xiaoli Yu, Liping Jiang, Baoying Ma:
Text-Aware Recommendation Model Based on Multi-attention Neural Networks. 590-603 - Qing Zhong, Yan Tang:

Chinese Named Entity Recognition Based on Gated Graph Neural Network. 604-613 - Xuxing Liu, Xiaoqin Tang, Shanxiong Chen:

Learning a Similarity Metric Discriminatively with Application to Ancient Character Recognition. 614-626 - Nan Qiu, Boyu Gao, Feiran Huang, Huawei Tu, Weiqi Luo

:
Incorporating Global Context into Multi-task Learning for Session-Based Recommendation. 627-638 - Jingyi Liu, Yanyan Zhao, Limin Liu, Shijie Jia:

Exploring Sequential and Collaborative Contexts for Next Point-of-Interest Recommendation. 639-655 - Xiaotong Li, Yan Tang

, Yuan Yuan
, Yingpei Chen:
Predicting User Preferences via Heterogeneous Information Network and Metric Learning. 656-665 - Xi Wang, Chuantao Yin, Xin Fan, Si Wu, Lan Wang:

An IoT Ontology Class Recommendation Method Based on Knowledge Graph. 666-678 - Junchao Lv, Linjiang Zheng, Longquan Liao, Xin Chen:

Ride-Sharing Matching of Commuting Private Car Using Reinforcement Learning. 679-691 - Hejun Wang, Hongjun Dai, Meikang Qiu, Meiqin Liu:

Optimization of Remote Desktop with CNN-based Image Compression Model. 692-703

manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.


Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID














