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ORCID30th ICONIP 2023: Changsha, China - Part VIII
- Biao Luo
, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li:
Neural Information Processing - 30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023, Proceedings, Part VIII. Communications in Computer and Information Science 1962, Springer 2024, ISBN 978-981-99-8131-1
Theory and Algorithms
- Shuxiao Song, Xiao Yu, Yuexuan Ma, Jiale Li, Jie Yu:
Multi-model Smart Contract Vulnerability Detection Based on BiGRU. 3-14 - Xiaohan Zhou, Yuzhe Liu, Wei Sun, Qiang Yu:
Time-Warp-Invariant Processing with Multi-spike Learning. 15-25 - Yao Wang, Chuang Gao, Haifeng Yu:
ECOST: Enhanced CoST Framework for Fast and Accurate Time Series Forecasting. 26-36 - Hejun Wang, Kai Deng, Yubing Duan, Mingyong Yin, Yulong Wang, Fanzhi Meng:
Adaptive CNN-Based Image Compression Model for Improved Remote Desktop Experience. 37-52 - Jiaji Qin, Chao Gao, Dingkun Wang:
LCformer: Linear Convolutional Decomposed Transformer for Long-Term Series Forecasting. 53-67 - Jia Chen, Yi Zhao, Saishang Zhong, Xinrong Hu:
Fashion Trend Forecasting Based on Multivariate Attention Fusion. 68-81 - Victor Parque, Tomoyuki Miyashita:
On Searching for Minimal Integer Representation of Undirected Graphs. 82-94 - Wenchang Zhang, Kaiqiang Zhang, Linling Jiang, Fan Zhang:
Multi-scale Multi-step Dependency Graph Neural Network for Multivariate Time-Series Forecasting. 95-111 - Wenlong Ni, Lingyue Lai, Xuan Zhao, Jue Wang:
Q-Learning Based Adaptive Scheduling Method for Hospital Outpatient Clinics. 112-123 - Xianglong Li, Yuan Li, Jieyuan Zhang, Xinhai Xu, Donghong Liu:
Temporal Task Graph Based Dynamic Agent Allocation for Applying Behavior Trees in Multi-agent Games. 124-135 - Gary Sum, John Sum, Andrew Chi-Sing Leung, Janet C. C. Chang:
A Distributed kWTA for Decentralized Auctions. 136-147 - Yuanshu Li, Yubin Xiao, Xuan Wu, Lei Song, Yanchun Liang, You Zhou:
Leveraging Hierarchical Similarities for Contrastive Clustering. 148-168 - Shijun Guo, Haoran Xu, Guangqiang Xie, Di Wen, Yangru Huang, Peixi Peng:
Reinforcement Learning-Based Consensus Reaching in Large-Scale Social Networks. 169-183 - Xiangyu Chen, Rong Xiao, Qirui Yang, Jiancheng Lv:
Lateral Interactions Spiking Actor Network for Reinforcement Learning. 184-195 - Zhibo Wei, Liying Zheng:
An Improved YOLOv5s for Detecting Glass Tube Defects. 196-206 - Kosuke Yoshimura, Hisashi Kashima:
Label Selection Approach to Learning from Crowds. 207-221 - Huizhen Chen, Haiyang Zhang, Lianglin Xiong, Shanshan Zhao:
New Stability Criteria for Markov Jump Systems Under DoS Attacks and Packet Loss via Dynamic Event-Triggered Control. 222-233 - Haochen Xue, Mingyu Jin, Chong Zhang, Yuxuan Huang, Qian Weng, Xiaobo Jin:
Image Blending Algorithm with Automatic Mask Generation. 234-248 - Xiaoyang Liu, Zhigang Zeng, Rusheng Ju:
Design of Memristor-Based Binarized Multi-layer Neural Network with High Robustness. 249-259 - Rui Chen, Wei Cui, Haitao Zhang, Qilong Han:
FEDEL: Frequency Enhanced Decomposition and Expansion Learning for Long-Term Time Series Forecasting. 260-273 - Abir Barbara, Younès Bennani, Joseph Karkazan:
On the Use of Persistent Homology to Control the Generalization Capacity of a Neural Network. 274-286 - Lulu Cao, Zimo Zheng, Chenwen Ding, Jinkai Cai, Min Jiang:
Genetic Programming Symbolic Regression with Simplification-Pruning Operator for Solving Differential Equations. 287-298 - Ayushi Kohli, V. Susheela Devi:
Explainable Offensive Language Classifier. 299-313 - Jing Zhang, Yangyang Ma, Weihong Li:
Infrared Target Recognition Technology Based on Few Shot Learning. 314-326 - Xu Liu, Yila Su, Wu Nier, Yatu Ji, Ren Qing-Dao-Er Ji, Min Lu:
An Approach to Mongolian Neural Machine Translation Based on RWKV Language Model and Contrastive Learning. 327-340 - Shan Xue, Biao Luo, Derong Liu, Dongsheng Guo:
Event-Triggered Constrained H∞ Control Using Concurrent Learning and ADP. 341-352 - Xiaoyu Chen, Yushui Geng, Hu Liang:
Three-Dimensional Rotation Knowledge Representation Learning Based on Graph Context. 353-364 - Hui Xu, Qiu-Feng Wang, Zhenghao Li, Yu Shi, Xiang-Dong Zhou:
TextBFA: Arbitrary Shape Text Detection with Bidirectional Feature Aggregation. 365-377 - Patigül Abliz, Shi Ying:
Bias Reduced Methods to Q-learning. 378-395 - Tomasz Nowak, Piotr Skrzypczynski:
A Neural Network Architecture for Accurate 4D Vehicle Pose Estimation from Monocular Images with Uncertainty Assessment. 396-412 - Supriya Y, Gautam Srivastava, K. Dasaradharami Reddy, Gokul Yenduri, Nancy Victor, S. Anusha, Thippa Reddy Gadekallu:
PSO-Enabled Federated Learning for Detecting Ships in Supply Chain Management. 413-424 - K. Dasaradharami Reddy, Gautam Srivastava, Yaodong Zhu, Supriya Y, Gokul Yenduri, Nancy Victor, S. Anusha, Thippa Reddy Gadekallu:
Federated Learning Using the Particle Swarm Optimization Model for the Early Detection of COVID-19. 425-436 - Zhijie Rao, Qi Dong, Chaoqi Chen, Yue Huang, Xinghao Ding:
Domain Generalization via Implicit Domain Augmentation. 437-448 - Mingjia Shi, Yuhao Zhou, Qing Ye, Jiancheng Lv:
Unconstrained Feature Model and Its General Geometric Patterns in Federated Learning: Local Subspace Minority Collapse. 449-464 - Yanzi Feng, Jian Wang, Peng Ren, Sergey Ablameyko:
Mutually Guided Dendritic Neural Models. 465-475 - Baowen Xu, Xuelei Wang, Shuo Li, Jingwei Li, Chengbao Liu:
Social-CVAE: Pedestrian Trajectory Prediction Using Conditional Variational Auto-Encoder. 476-489 - Jacques M. Bahi, Raphaël Couturier, Joseph Azar, Kevin Kana Nguimfack:
Distributed Training of Deep Neural Networks: Convergence and Case Study. 490-503 - Xiliang Zhang, Tong Zhang, Rong Yan:
Chinese Medical Intent Recognition Based on Multi-feature Fusion. 504-515 - Shanhua Yuan, Sheng Han, Xiwen Jiang, Youfang Lin, Kai Lv:
Multi-mobile Object Motion Coordination with Reinforcement Learning. 516-527 - Xuan Qi, Yi Wei, Xue Mei, Ryad Chellali, Shipin Yang:
Comparative Analysis of the Linear Regions in ReLU and LeakyReLU Networks. 528-539 - Yunzhi Hao, Mengfan Wang, Xingen Wang, Tongya Zheng, Xinyu Wang, Wenqi Huang, Chun Chen:
Heterogeneous Graph Prototypical Networks for Few-Shot Node Classification. 540-555 - Shuyuan You, Zhiqiang Zhuang, Haiying Wu, Kewen Wang, Zhe Wang:
Improving Deep Learning Powered Auction Design. 556-569 - Tuo Xu, Lei Zou:
Link Prediction with Simple Path-Aware Graph Neural Networks. 570-582 - Yihan Wang, Lijia Yu, Xiao-Shan Gao:
Restore Translation Using Equivariant Neural Networks. 583-603 - Xinran Chen, Yuran Zhao, Jianming Guo, Sufeng Duan, Gongshen Liu:
SDPSAT: Syntactic Dependency Parsing Structure-Guided Semi-Autoregressive Machine Translation. 604-616
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