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APWeb/WAIM 2022: Nanjing, China - Part II
- Bohan Li, Lin Yue, Chuanqi Tao, Xuming Han, Diego Calvanese, Toshiyuki Amagasa:
Web and Big Data - 6th International Joint Conference, APWeb-WAIM 2022, Nanjing, China, November 25-27, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13422, Springer 2023, ISBN 978-3-031-25197-9
Graph Data and Social Networks
- Yuhang Su, Yu Gu, Yang Song, Ge Yu:
Accelerating Hypergraph Motif Counting Based on Hyperedge Relations. 3-11 - Xueying Wang, Yanheng Liu, Xu Zhou, Zhaoqi Leng, Xican Wang:
Next POI Recommendation Method Based on Category Preference and Attention Mechanism in LBSNs. 12-19
Information Extraction and Retrieval
- Deji Zhao, Bo Ning, Shuangyong Song, Chao Wang, Xiangyan Chen, Xiaoguang Yu, Bo Zou:
ToSA: A Top-Down Tree Structure Awareness Model for Hierarchical Text Classification. 23-37 - Zhiwei Li, Guozheng Rao, Li Zhang, Xin Wang, Qing Cong, Zhiyong Feng:
Clause Fusion-Based Emotion Embedding Model for Emotion-Cause Pair Extraction. 38-52 - Min Xie:
Accelerated Algorithms for α-Happiness Query. 53-68 - Wuhang Lin, Shasha Li, Chen Zhang, Bin Ji, Jie Yu, Jun Ma, Zibo Yi:
SummScore: A Comprehensive Evaluation Metric for Summary Quality Based on Cross-Encoder. 69-84 - Zongyuan Tan, Hongya Wang, Ming Du, Jie Zhang:
DASH: Data Aware Locality Sensitive Hashing. 85-100 - Chengwei Wang, Tao Peng, Yue Zhang, Lin Yue, Lu Liu:
AOPSS: A Joint Learning Framework for Aspect-Opinion Pair Extraction as Semantic Segmentation. 101-113 - Yang Liu, Xiaoxia Jiang, Wenzheng Zhao, Weiyi Ge, Wei Hu:
Dual Graph Convolutional Networks for Document-Level Event Causality Identification. 114-128 - Yu Liu, Yanzhao Xie, Jingkuan Song, Rukai Wei, Ke Zhou:
Self-supervised Label-Visual Correlation Hashing for Multi-label Image Retrieval. 129-143 - Xulong Zhang, Jianzong Wang, Ning Cheng, Edward Xiao, Jing Xiao:
Shallow Diffusion Motion Model for Talking Face Generation from Speech. 144-157 - Sonia Djebali, Quentin Gabot, Guillaume Guérard:
Hierarchical Clustering and Measure for Tourism Profiling. 158-165 - Shiyin Lu, Yuan Miao, Ping Yang, Yao Hu, Lijun Zhang:
Non-stationary Dueling Bandits for Online Learning to Rank. 166-174 - Junfeng An, Yingjian Li, Zheng Zhang, Yongyong Chen, Guangming Lu:
High-Order Correlation Embedding for Large-Scale Multi-modal Hashing. 175-182 - Yudong Qian, Weiguo Zheng:
A Self-training Approach for Few-Shot Named Entity Recognition. 183-191
Knowledge Graph
- Yuxuan Xiang, Jiajun Wu, Tiexin Wang, Meng Wang, Tianlun Dai, Gaoxu Wang, Shidong Xu, Jing Li:
Reasoning Path Generation for Answering Multi-hop Questions Over Knowledge Graph. 195-209 - Zhirong Hou, Meiling Wang, Min Li, Ying Li:
E3L: Experience Enhanced Entity Linking for Question Answering Over Knowledge Graphs. 210-224 - Chenxin Zou, Xiaodong Li, Pangjing Wu, Haoran Xie:
M2R: From Mathematical Models to Resource Description Framework. 225-238 - Lisha Wu, Daling Wang, Shi Feng, Yifei Zhang, Ge Yu:
KEP-Rec: A Knowledge Enhanced User-Item Relation Prediction Model for Personalized Recommendation. 239-254 - Yinghui Shi, Meng Wang, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng:
Probing the Impacts of Visual Context in Multimodal Entity Alignment. 255-270 - Siyu Yao, Tianzhe Zhao, Fangzhi Xu, Jun Liu:
Incorporating Prior Type Information for Few-Shot Knowledge Graph Completion. 271-285 - Yin Li, Bixin Li:
Answering Why-Not Questions on GeoSPARQL Queries. 286-300 - Jiajun Wu, Qian Zhou, Yuxuan Xiang, Tianlun Dai, Hua Dai, Hao Wen, Qun Yang:
Multi-Information-Enhanced Knowledge Embedding in Hyperbolic Space. 301-314 - Jiayi Pan, Weiguo Zheng:
Knowledge Graph Entity Alignment Powered by Active Learning. 315-322 - Zirui Chen, Xin Wang, Chenxu Wang, Zhao Li:
POSE: A Positional Embedding Model for Knowledge Hypergraph Link Prediction. 323-337
Machine Learning
- Zhebin Zhang, Peng Lu, Dawei Jiang, Gang Chen:
TraVL: Transferring Pre-trained Visual-Linguistic Models for Cross-Lingual Image Captioning. 341-355 - Feng Chen, Xinyi Li, Jintao Tang, Shasha Li, Ting Wang:
From Less to More: Common-Sense Semantic Perception Benefits Image Captioning. 356-368 - Xiuzhen Hao, Haiwei Pan, Kejia Zhang, Chunling Chen, Xiaofei Bian, Shuning He:
MACNet: Multi-Attention and Context Network for Polyp Segmentation. 369-384 - Longhai Li, Lei Duan, Junchen Wang, Guicai Xie, Chengxin He, Zihao Chen, Song Deng:
Transformer-Based Representation Learning on Temporal Heterogeneous Graphs. 385-400 - Hong Gao, Xuezhen Tu, Donghai Guan:
SCBERT: Single Channel BERT for Chinese Spelling Correction. 401-414 - Chufan Cheng, Fang Chen:
Improving Robustness of Medical Image Diagnosis System by Using Multi-loss Hybrid Adversarial Function with Heuristic Projection. 415-429 - Yihang Zhang, Xuming Han, Limin Wang, Weitong Chen, Linliang Guo:
SSCG: Spatial Subcluster Clustering Method by Grid-Connection. 430-443 - Kejun Zhang, Liwen Feng, Xinying Yu:
Shap-PreBiNT: A Sentiment Analysis Model Based on Optimized Transformer. 444-458 - Aiyang Han, Songcan Chen:
Universum-Inspired Supervised Contrastive Learning. 459-473 - Yue Zhang, Xinxing Yang, Feng Zhu, Yalin Zhang, Meng Li, Qitao Shi, Longfei Li, Jun Zhou:
A Task-Aware Attention-Based Method for Improved Meta-Learning. 474-482 - Jinyun Tang, Wenzhen Zhang, Guixian Zhang, Rongjiao Liang, Guangquan Lu:
One-Stage Deep Channels Attention Network for Remote Sensing Images Object Detection. 483-491 - Rongtao Zhang, Jie Hao, Ran Wang, Hai Deng, Hui Wang:
Multi-objective Global Path Planning for UAV-assisted Sensor Data Collection Using DRL and Transformer. 492-500 - Xinmeng Wang, Lisong Wang, Shifan Shen, Lingling Hu:
SAC-PER: A Navigation Method Based on Deep Reinforcement Learning Under Uncertain Environments. 501-510 - Xin Liu, Jing Li, Yuanning Cui, Wei Zhu, Luhong Qian:
MAFT: An Image Super-Resolution Method Based on Mixed Attention and Feature Transfer. 511-519 - Xin Du, Haiwei Pan, Kejia Zhang, Shuning He, Xiaofei Bian, Weipeng Chen:
Automatic Report Generation Method based on Multiscale Feature Extraction and Word Attention Network. 520-528 - Bingliang Xu, Haizhou Ye, Zheng Zhang, Daoqiang Zhang, Qi Zhu:
Dictionary-Induced Manifold Learning for Incomplete Multi-modal Fusion. 529-537 - Bin Xu, Tongqing Wang, Kening Gao, Zhaowu Zhang:
BSAM: A BERT-Based Model with Statistical Information for Personality Prediction. 538-545 - Shichen Zhai, Zongmin Ma:
A Combined Model Based on GRU with Mahalanobis Distance for Oil Price Prediction. 546-553
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