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ORCIDAPWeb/WAIM 2021: Guangzhou, China
- Leong Hou U
, Marc Spaniol, Yasushi Sakurai, Junying Chen:
Web and Big Data - 5th International Joint Conference, APWeb-WAIM 2021, Guangzhou, China, August 23-25, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12858, Springer 2021, ISBN 978-3-030-85895-7
Graph Mining
- Dongdong Jin, Peng Cheng, Xuemin Lin, Lei Chen:
Co-authorship Prediction Based on Temporal Graph Attention. 3-19 - Jiahou Cheng, Mengqing Luo, Xin Li, Hui Yan:
Degree-Specific Topology Learning for Graph Convolutional Network. 20-34 - Qiang Liu, Haoli Zhang, Zhaocheng Liu:
Simplifying Graph Convolutional Networks as Matrix Factorization. 35-43 - Judith Hermanns, Anton Tsitsulin, Marina Munkhoeva, Alexander M. Bronstein, Davide Mottin, Panagiotis Karras:
GRASP: Graph Alignment Through Spectral Signatures. 44-52 - Guanghua Li, Qiyan Li, Jingqiao Liu, Yuanyuan Zhu, Ming Zhong:
FANE: A Fusion-Based Attributed Network Embedding Framework. 53-60
Data Mining
- Gang Wang, Qi Peng, Yanfeng Zhang, Mingyang Zhang:
What Have We Learned from OpenReview? 63-79 - Jiaxiang Huang, Hao Lin, Junjie Yao:
Unsafe Driving Behavior Prediction for Electric Vehicles. 80-93 - Qingzhong Bao, Xiaoxu Ren, Chunfeng Liu, Xin Wang, Xiaofei Wang, Chao Qiu:
Resource Trading with Hierarchical Game for Computing-Power Network Market. 94-109 - Zhou Zhou, XuJia Yao:
Analyze and Evaluate Database-Backed Web Applications with WTool. 110-124 - Shaoshen Wang, Ling Chen, Farookh Khadeer Hussain, Chengqi Zhang:
Semi-supervised Variational Multi-view Anomaly Detection. 125-133 - Qianyu Yu, Shuo Yang, Zhiqiang Zhang, Ya-Lin Zhang, Binbin Hu, Ziqi Liu, Kai Huang, Xingyu Zhong, Jun Zhou, Yanming Fang:
A Graph Attention Network Model for GMV Forecast on Online Shopping Festival. 134-139 - Jun Li, Zhihan Yan, Zehang Lin, Xingyun Liu, Hong Va Leong, Nancy Xiaonan Yu, Qing Li:
Suicide Ideation Detection on Social Media During COVID-19 via Adversarial and Multi-task Learning. 140-145
Data Management
- Xiyan Xu, Jiwu Shu:
An Efficient Bucket Logging for Persistent Memory. 149-163 - Pengpeng Chen, Hailong Sun, Zhijun Chen:
Data Poisoning Attacks on Crowdsourcing Learning. 164-179 - Chunxi Zhang, Rong Zhang, Qian Su, Aoying Zhou:
Dynamic Environment Simulation for Database Performance Evaluation. 180-189 - Xing Wei, Huiqi Hu, Xuan Zhou, Aoying Zhou:
LinKV: An RDMA-Enabled KVS for High Performance and Strict Consistency Under Skew. 190-198 - Tian Yan, Linpeng Huang, Shengan Zheng:
Cheetah: An Adaptive User-Space Cache for Non-volatile Main Memory File Systems. 199-207
Topic Model and Language Model Learning
- Shurui Chen, Yufu Chen, Yuyin Lu, Yanghui Rao, Haoran Xie, Qing Li:
Chinese Word Embedding Learning with Limited Data. 211-226 - Bingshan Zhu, Yi Cai, Huakui Zhang:
Sparse Biterm Topic Model for Short Texts. 227-241 - Zerui Cai, Taolin Zhang, Chengyu Wang, Xiaofeng He:
EMBERT: A Pre-trained Language Model for Chinese Medical Text Mining. 242-257 - Fengying Yu, Jianzong Wang, Dewei Tao, Ning Cheng, Jing Xiao:
Self-supervised Learning for Semantic Sentence Matching with Dense Transformer Inference Network. 258-272 - ShaoLin Zhu, Chenggang Mi, Xiayang Shi:
An Explainable Evaluation of Unsupervised Transfer Learning for Parallel Sentences Mining. 273-281
Text Analysis
- Yashen Wang:
Leveraging Syntactic Dependency and Lexical Similarity for Neural Relation Extraction. 285-299 - Chao Sun, Jianzong Wang, Fengying Yu, Ning Cheng, Jing Xiao:
A Novel Capsule Aggregation Framework for Natural Language Inference. 300-315 - Ze Fu, Changmeng Zheng, Yi Cai, Qing Li, Tao Wang:
Learning Modality-Invariant Features by Cross-Modality Adversarial Network for Visual Question Answering. 316-331 - Feng Chen, Jiayuan Xie, Yi Cai, Tao Wang, Qing Li:
Difficulty-Controllable Visual Question Generation. 332-347 - Chenggang Mi, Shaolin Zhu, Yi Fan, Lei Xie:
Incorporating Typological Features into Language Selection for Multilingual Neural Machine Translation. 348-357 - Xuewen Shi, Heyan Huang, Ping Jian, Yi-Kun Tang:
Removing Input Confounder for Translation Quality Estimation via a Causal Motivated Method. 358-364
Text Classification
- Zeting Li, Yi Cai, Xingwei Tan, Guoqiang Han, Haopeng Ren, Xin Wu, Wen Li:
Learning Refined Features for Open-World Text Classification. 367-381 - Sancheng Peng, Rong Zeng, Hongzhan Liu, Guanghao Chen, Ruihuan Wu, Aimin Yang, Shui Yu:
Emotion Classification of Text Based on BERT and Broad Learning System. 382-396 - Bing Tian, Yong Zhang, Chunxiao Xing:
Improving Document-Level Sentiment Classification with User-Product Gated Network. 397-412 - Xiangyu Wang, Mizuho Iwaihara:
Integrating RoBERTa Fine-Tuning and User Writing Styles for Authorship Attribution of Short Texts. 413-421 - Zexin Li, Linjun Chen, Tiancheng Huang, Jiagang Song:
Dependency Graph Convolution and POS Tagging Transferring for Aspect-Based Sentiment Classification. 422-432
Machine Learning 1
- Xinyu Yang, Xinlan Zhang, Zhenguo Zhang, Yahui Zhao, Rongyi Cui:
DTWSSE: Data Augmentation with a Siamese Encoder for Time Series. 435-449 - Yongqiang Yu, Xinyi Xia, Bo Lang, Hongyu Liu:
PT-LSTM: Extending LSTM for Efficient Processing Time Attributes in Time Series Prediction. 450-464 - Jialing Zhang, Zheng Liu, Yanwen Qu, Yun Li:
Loss Attenuation for Time Series Prediction Respecting Categories of Values. 465-479 - Binbin Guo, Yuan Mei, Danyang Xiao, Weigang Wu:
PFL-MoE: Personalized Federated Learning Based on Mixture of Experts. 480-486 - Yufang Zhang, Yongfang Zha, Lintao Li, Zhongyang Xiong:
A New Density Clustering Method Using Mutual Nearest Neighbor. 487-494
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