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ORCID28th ICONIP 2021: Sanur, Bali, Indonesia - Part V
- Teddy Mantoro
, Minho Lee, Media Anugerah Ayu, Kok Wai Wong, Achmad Nizar Hidayanto:
Neural Information Processing - 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8-12, 2021, Proceedings, Part V. Communications in Computer and Information Science 1516, Springer 2021, ISBN 978-3-030-92306-8
Theory and Algorithms
- Xiaowei Yuan, Jingyuan Hu, Xiaodan Zhang, Honglei Lv, Hao Liu:
Emoji-Based Co-Attention Network for Microblog Sentiment Analysis. 3-11 - Karolina Seweryn, Katarzyna Lorenc, Anna Wróblewska, Sylwia Sysko-Romanczuk:
What Will You Tell Me About the Chart? - Automated Description of Charts. 12-19 - Peifei Zhu, Zisheng Li, Masahiro Ogino:
Multi-Domain Adversarial Balancing for the Estimation of Individual Treatment Effect. 20-27 - Xin Juan, Meixin Peng, Xin Wang:
Exploring Self-training for Imbalanced Node Classification. 28-36 - Rui Luo, Ye Wang, Shan Zhao, Tongqing Zhou, Zhiping Cai:
Leveraging Multi-granularity Heterogeneous Graph for Chinese Electronic Medical Records Summarization. 37-45 - Adriano Kultzak, Cristina Y. Morimoto, Aurora T. R. Pozo, Marcilio C. P. de Souto:
Multi-objective Clustering: A Data-Driven Analysis of MOCLE, MOCK and Δ-MOCK. 46-54 - Luya Qiang, Hao Shi, Meng Ge, Haoran Yin, Nan Li, Longbiao Wang, Sheng Li, Jianwu Dang:
Speech Dereverberation Based on Scale-Aware Mean Square Error Loss. 55-63 - Rakesh Kumar Sanodiya, Vishnu Vardhan Gottumukkala, Lakshmi Deepthi Kurugundla, Pranav Reddy Dhansri, Ravi Ranjan Prasad Karn, Leehter Yao:
A Novel Multi-source Domain Learning Approach to Unsupervised Deep Domain Adaptation. 64-72 - Junhao Zhou, Feng Jiang, Xiaomin Chu, Peifeng Li, Qiaoming Zhu:
More Than One-Hot: Chinese Macro Discourse Relation Recognition on Joint Relation Embedding. 73-80 - Siming Lian, Jianwei Liu:
Abstracting Inter-instance Relations and Inter-label Correlation Simultaneously for Sparse Multi-label. 81-88 - Kanghui Zeng, Chao Xu, Jing Hu, Yushi Li, Zhaopeng Meng:
L-DPSNet: Deep Photometric Stereo Network via Local Diffuse Reflectance Maxima. 89-97 - Bin Hu, Zhuangzhuang Yue, Yuehua Li:
Multi-scale Feature Fusion Network with Positional Normalization for Single Image Dehazing. 98-105 - Congcheng Huang, Sheng Xu, Peifeng Li, Qiaoming Zhu:
Multitask Model for End-to-End Event Coreference Resolution. 106-113 - Arth Patel, Abishek Sriramulu, Christoph Bergmeir, Nicolas Fourrier:
Dependency Learning Graph Neural Network for Multivariate Forecasting. 114-123 - Honggang Wang, Xing Wu, Jingsheng Liu, Jiangnan Li:
Research on Flame Detection Based on Anchor-Free Algorithm FCOS. 124-131 - Tian Tian, Yuexian Hou, Zan Li, Tingsan Pan, Yingjie Gao:
Socializing in Interference: Quantum-Inspired Topic Model with Crystal-Like Structure Grid for Microblog Topic Detection. 132-140 - Yi Xi, Dongchun Ren, Mingxia Li, Yuehai Chen, Mingyu Fan, Huaxia Xia:
Robust Trajectory Prediction of Multiple Interacting Pedestrians via Incremental Active Learning. 141-150 - YiBo Jin, Ting Liu, Jinjie Chen, Yuzhuo Fu:
Dynamic Channel Pruning for Real-Time Object Detection Networks. 151-158 - Yizhuo Rao, Xianya Mi, Chengyuan Duan, Xiaoguang Ren, Jiajun Cheng, Yu Chen, Hongliang You, Qiang Gao, Zhixian Zeng, Xiao Wei:
Know-GNN: An Explainable Knowledge-Guided Graph Neural Network for Fraud Detection. 159-167 - Tao Dong, Shimin Shan, Yu Liu, Yue Qian, Anqi Ma:
A Pointer-Generator Based Abstractive Summarization Model with Knowledge Distillation. 168-177 - Sundesh Gupta, Aditya Shah, Miten Shah, Laribok Syiemlieh, Chandresh Maurya:
FiLMing Multimodal Sarcasm Detection with Attention. 178-186 - Zhibin Miao, Jinghui Zhong, Peng Yang, Shibin Wang, Dong Liu:
Implicit Neural Network for Implicit Data Regression Problems. 187-195 - Marcin Sendera, Lukasz Struski, Przemyslaw Spurek:
Missing Glow Phenomenon: Learning Disentangled Representation of Missing Data. 196-204 - Shaobo Hu, Hongying Zheng, Jianyong Chen:
A Novel Deep Reinforcement Learning Framework for Stock Portfolio Optimization. 205-212 - Haoran Yin, Hao Shi, Longbiao Wang, Luya Qiang, Sheng Li, Meng Ge, Gaoyan Zhang, Jianwu Dang:
Simultaneous Progressive Filtering-Based Monaural Speech Enhancement. 213-221 - Jiarui Cheng, Ning Jiang, Jialiang Tang, Xin Deng, Wenxin Yu, Peng Zhang:
Using a Two-Stage GAN to Learn Image Degradation for Image Super-Resolution. 222-230 - Wenxin Yu, Xin Cheng, Zhiqiang Zhang, Jun Gong:
Deep Learning Based Placement Acceleration for 3D-ICs. 231-238 - Ruiqi Dai, Mathieu Lefort, Frédéric Armetta, Mathieu Guillermin, Stefan Duffner:
Self-supervised Continual Learning for Object Recognition in Image Sequences. 239-247 - Tomasz Kolodziej, Pawel Rosciszewski:
Towards Scalable Simulation of Federated Learning. 248-256 - Florian von Unold, Monika Wintergerst, Lenz Belzner, Georg Groh:
DYME: A Dynamic Metric for Dialog Modeling Learned from Human Conversations. 257-264 - Chao Zhang, Sthitie Bom:
Auto-Encoder Based Model for High-Dimensional Imbalanced Industrial Data. 265-273 - Jinhang Cai, Yimin Ou, Xiu Li, Haoqian Wang:
ST-NAS: Efficient Optimization of Joint Neural Architecture and Hyperparameter. 274-281 - Zhengliang Luo, Tiening Sun, Xiaoxu Zhu, Zhong Qian, Peifeng Li:
Early Rumor Detection with Prior Information on Social Media. 282-289 - Xuejian Gao, Xue Jiang, Qiong Wu, Xiao Wang, Chen Lyu, Lei Lyu:
Multi-modal Code Summarization Fusing Local API Dependency Graph and AST. 290-297 - Qiong Wu, Xue Jiang, Zhuoran Zheng, Xuejian Gao, Chen Lyu, Lei Lyu:
Code Representation Based on Hybrid Graph Modelling. 298-306 - Tomasz Hachaj, Marcin Piekarczyk, Lukasz Bibrzycki:
Deep Neural Network Architecture for Low-Dimensional Embedding and Classification of Cosmic Ray Images Obtained from CMOS Cameras. 307-316 - Dwiza Riana, Sri H. V. Hadianti, Sri Rahayu, Frieyadie, Muhamad Hasan, Izni Nur Karimah, Rafly Pratama:
RepoMedUNM: A New Dataset for Feature Extraction and Training of Deep Learning Network for Classification of Pap Smear Images. 317-325 - Jialiang Tang, Xiaoyan Yang, Xin Cheng, Ning Jiang, Wenxin Yu, Peng Zhang:
Consistent Knowledge Distillation Based on Siamese Networks. 326-333 - Gang-Feng Ma, Xu-Hua Yang, Lei Ye, Yu-Jiao Huang, Peng Jiang:
Graph Convolutional Network Based on Higher-Order Neighborhood Aggregation. 334-342 - Yingru Liu, Yucheng Xing, Xuewen Yang, Xin Wang, Jing Shi, Di Jin, Zhaoyue Chen, Jacqueline Wu:
Continuous-Time Stochastic Differential Networks for Irregular Time Series Modeling. 343-351 - Yuan Wang, Zhaoliang He, Chen Tang, Zhi Wang, Wenwu Zhu:
An Adaptive Logarithm Quantization Method for DNN Compression. 352-359 - Amit Kumar, Nazanin Esmaili, Massimo Piccardi:
A REINFORCEd Variational Autoencoder Topic Model. 360-369 - Cong Cong, Chuxiong Sun, Ruiping Liu, Rui Wang, Xiaohui Hu:
LFMAC: Low-Frequency Multi-Agent Communication. 370-378 - Kaifeng Hao, Jianfeng Li, Cuiqin Hou, Pengyu Li:
A Better Multiway Attention Framework for Fine-Tuning. 379-386 - Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita:
Task-Driven Super Resolution: Object Detection in Low-Resolution Images. 387-395 - Zehuan Zhang, Qiang Liu, Difei Guo:
Knowledge-Based Multiple Lightweight Attribute Networks for Zero-Shot Learning. 396-404 - Zhu Liu, Tingsong Ma, Yuanlun Xie, Hengxin Zhang, Jian Wang, Wenhong Tian:
Detecting Anomaly Features in Facial Expression Recognition. 405-413 - Wenzhuo Huang, Xuntian Yan, Zhen Yan, Jinkui Xie:
A Heterogeneous Collaborative Filtering Model for Social Recommendation. 414-421 - Kaifeng Hao, Jianfeng Li, Cuiqin Hou, Xuexuan Wang, Pengyu Li:
Combining Pretrained and Graph Models for Text Classification. 422-429 - Yang Liu, Yi Zhao, Guangmeng Zhou, Ke Xu:
FedPrune: Personalized and Communication-Efficient Federated Learning on Non-IID Data. 430-437 - Yan Liu, Zhijie Zhang, Liqing Zhang:
Depth Privileged Object Detection with Depth-Enhanced DCN. 438-446 - Pin Liu, Xiaohui Guo, Rui Wang, Pengpeng Chen, Tianyu Wo, Xudong Liu:
CSMOTE: Contrastive Synthetic Minority Oversampling for Imbalanced Time Series Classification. 447-455 - Ganghui Hu, Jing Wang, Yunxiao Liu, Wang Ke, Youfang Lin:
CCAD: A Collective Contextual Anomaly Detection Framework for KPI Data Stream. 456-463 - Zhili Lin, Guanglu Song, Biao Leng:
Scale Semantic Flow Preserving Across Image Pyramid. 464-471 - Chuan He, Rong Yan:
Causality Extraction Based on Dependency Syntactic and Relative Attention. 472-479 - Sourasekhar Banerjee, Erik Elmroth, Monowar H. Bhuyan:
Fed-FiS: a Novel Information-Theoretic Federated Feature Selection for Learning Stability. 480-487 - Baolun Yu, Wanrong Huang, Long Lan, Yuhua Tang:
Model Compression for a Plasticity Neural Network in a Maze Exploration Scenario. 488-497 - Xiangyang Guo, Daqing Wu, Tao Hong, Jinwen Ma:
NSF-Based Mixture of Gaussian Processes and Its Variational EM Algorithm. 498-505 - Weishan Tang, Yixin Zhao, Wenjing Xie, Wei Huang:
A Novel Adaptive PID Optimizer of Deep Neural Networks. 506-513 - Bartosz Zielinski, Michal Górszczak:
What Pushes Self-supervised Image Representations Away? 514-521 - Huipeng Zheng, Lukman Hakim, Takio Kurita, Jun'ichi Miyao:
Single-Image Super-Resolution Reconstruction Based on the Differences of Neighboring Pixels. 522-529 - Adam Zychowski, Jacek Mandziuk:
Learning Attacker's Bounded Rationality Model in Security Games. 530-539 - Yuqi Zhu, Yuntao Liu, Xinhai Xu, Yuan Li:
Learning Attentive Cooperation in Multi-agent Reinforcement Learning with Graph Convolutional Network. 540-548 - Tao Li, Xiao Luo, Jinwen Ma:
Average Mean Functions Based EM Algorithm for Mixtures of Gaussian Processes. 549-557 - Yu Zhang, Dajiang Liu, Yongkang Xing:
Dynamic Convolution Pruning Using Pooling Characteristic in Convolution Neural Networks. 558-565 - Maciej Zelaszczyk, Jacek Mandziuk:
Adversarial Defenses via a Mixture of Generators. 566-574 - Ruijie Gao, Yun Li, Yun-Hao Yuan, Jipeng Qiang, Yi Zhu:
Fractional Multi-view Hashing with Semantic Correlation Maximization. 575-582 - Wenjun Guo, Xianghong Lin, Xiaofei Yang:
A Supervised Learning Algorithm for Recurrent Spiking Neural Networks Based on BP-STDP. 583-590 - Michel Kaddouh, Guénaël Cabanes, Younès Bennani:
Incorporating Neighborhood Information During NMF Learning. 591-598 - Boyu Hou, Junwei Dong, Liang Feng, Minghui Qiu:
Efficient Two-Stage Evolutionary Search of Convolutional Neural Architectures Based on Cell Independence Analysis. 599-607 - Vincent Grari, Oualid El Hajouji, Sylvain Lamprier, Marcin Detyniecki:
Enforcing Individual Fairness via Rényi Variational Inference. 608-616 - Shengang Li, Baolai Wang, Tao Xie:
Group-Based Deep Reinforcement Learning in Multi-UAV Confrontation. 617-624 - Rukshima Dabare, Kok Wai Wong, Mohd Fairuz Shiratuddin, Polychronis Koutsakis:
Fuzzy Data Augmentation for Handling Overlapped and Imbalanced Data. 625-633 - Manel Jerbi, Zaineb Chelly Dagdia, Slim Bechikh, Lamjed Ben Said:
Malware Detection Using Rough Set Based Evolutionary Optimization. 634-641 - Norbert Jankowski:
Revdbscan and Flexscan - O(nlog n) Clustering Algorithms. 642-650 - Liang Zhao, Xinwei Li, Pingda Huang, Zhikui Chen, Yanqi Dai, Tianyu Li:
TRGAN: Text to Image Generation Through Optimizing Initial Image. 651-658 - Pei Yao, Liang Feng:
Integrating Policy Reuse with Learning from Demonstrations for Knowledge Transfer in Deep Reinforcement Learning. 659-667 - Mourad El Hamri, Younès Bennani, Issam Falih:
Inductive Semi-supervised Learning Through Optimal Transport. 668-675 - Mengzhang Cai, Wengang Zhou, Qing Li, Houqiang Li:
Random Sampling Weights Allocation Update for Deep Reinforcement Learning. 676-684 - Yi Zhu, Xinke Zhou, Yun Li, Jipeng Qiang, Yunhao Yuan:
Domain Adaptation with Stacked Convolutional Sparse Autoencoder. 685-692 - Xiaosha Cai, Dong Huang:
Link-Based Consensus Clustering with Random Walk Propagation. 693-700 - Mrinalini Tiwari, Rakesh Kumar Sanodiya, Jimson Mathew, Sriparna Saha:
A Particle Swarm Optimization Based Feature Selection Approach for Multi-source Visual Domain Adaptation. 701-709 - R. Uday Kiran, Palla Likhitha, Minh-Son Dao, Koji Zettsu, Ji Zhang:
Discovering Periodic-Frequent Patterns in Uncertain Temporal Databases. 710-718 - Hikaru Higuchi, Satoshi Suzuki, Hayaru Shouno:
Measuring Shift-Invariance of Convolutional Neural Network with a Probability-Incorporated Metric. 719-728
AI and Cybersecurity
- Huixia Yao, Yun Jiang, Tongtong Cheng, Jing Gao:
Retinal Vessel Segmentation Based on Gated Skip-Connection Network. 731-738 - Haoyu Wen, Xinning Zhu, Moyu Zhang, Chunhong Zhang, Changchuan Yin:
Combining Wikipedia to Identify Prerequisite Relations of Concepts in MOOCs. 739-747 - Avi Chawla, Nidhi Mulay, Vikas Bishnoi, Gaurav Dhama, Anil Kumar Singh:
A Comparative Study of Transformers on Word Sense Disambiguation. 748-756 - Maizhen Ning, Qiu-Feng Wang, Kaizhu Huang, Xiaowei Huang:
A Segment-Based Layout Aware Model for Information Extraction on Document Images. 757-765 - Zicheng Zuo, Zhenfang Zhu, Wenqing Wu, Qiang Lu, Dianyuan Zhang, Wenling Wang, Guangyuan Zhang:
Question Answering over Knowledge Base Embeddings with Triples Representation Learning. 766-773
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