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ORCID30th ICONIP 2023: Changsha, China - Part II
- 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 II. Lecture Notes in Computer Science 14448, Springer 2024, ISBN 978-981-99-8081-9
Theory and Algorithms
- Shuoshuo Zhang, Jianxiang Ren, Xiao Fang, Tingwen Huang:
Distributed Nash Equilibrium Seeking of Noncooperative Games with Communication Constraints and Matrix Weights. 3-13 - Zhe Ding, Yu-Chu Tian, Maolin Tang, You-Gan Wang, Zu-Guo Yu, Jiong Jin, Weizhe Zhang:
Accelerated Genetic Algorithm with Population Control for Energy-Aware Virtual Machine Placement in Data Centers. 14-26 - Yongkang Luo, Peiyi Han, Wenjian Luo, Shaocong Xue, Kesheng Chen, Linqi Song:
A Framework of Large-Scale Peer-to-Peer Learning System. 27-41 - Chen Ye, Wentao Wang, Shaoping Zhang, Peng Shao:
Optimizing 3D UAV Path Planning: A Multi-strategy Enhanced Beluga Whale Optimizer. 42-54 - Yining Lv, Nianwen Ning, Hengji Li, Li Wang, Yanyu Zhang, Yi Zhou:
Interactive Attention-Based Graph Transformer for Multi-intersection Traffic Signal Control. 55-67 - Bo Zeng, Kunhao Lai, Jianpeng Ke, Fangchao Yu, Lina Wang:
PatchFinger: A Model Fingerprinting Scheme Based on Adversarial Patch. 68-80 - Zhongyi Guo, Keji Han, Yao Ge, Yun Li, Wei Ji:
Attribution of Adversarial Attacks via Multi-task Learning. 81-94 - Yanru Ding, Yanmei Zhang, Guan Yuan, Yingjie Li, Shujuan Jiang, Wei Dai:
A Reinforcement Learning Method for Generating Class Integration Test Orders Considering Dynamic Couplings. 95-107 - Xinyu Li, Yi Zuo, Tieshan Li, C. L. Philip Chen:
A Novel Machine Learning Model Using CNN-LSTM Parallel Networks for Predicting Ship Fuel Consumption. 108-118 - Qi He, Feng Wang, Jingge Song:
Two-Stage Attention Model to Solve Large-Scale Traveling Salesman Problems. 119-130 - Jianpeng Yang, Yuhang Niu, Xuemei Xie, Guangming Shi:
Learning Primitive-Aware Discriminative Representations for Few-Shot Learning. 131-146 - Linling Jiang, Fan Zhang, Mingli Zhang, Caiming Zhang:
Time-Series Forecasting Through Contrastive Learning with a Two-Dimensional Self-attention Mechanism. 147-165 - Yao Liu, Wenlong Ni, Yang Bi, Lingyue Lai, Xinyu Zhou, Hua Chen:
Task Scheduling with Multi-strategy Improved Sparrow Search Algorithm in Cloud Datacenters. 166-177 - Wenlong Ni, Zehong Li, Peng Wang, Chuanzhaung Li:
Advanced State-Aware Traffic Light Optimization Control with Deep Q-Network. 178-190 - Yan Wu, Shixian Luo, Yan Jiang:
Impulsive Accelerated Reinforcement Learning for H∞ Control. 191-203 - Sheng Yu, Wei Zhu, Shuhong Liu, Zhengwen Gong, Haoran Chen:
MRRC: Multi-agent Reinforcement Learning with Rectification Capability in Cooperative Tasks. 204-218 - Zhifeng Hao, Haipeng Zhu, Wei Chen, Ruichu Cai:
Latent Causal Dynamics Model for Model-Based Reinforcement Learning. 219-230 - Jiaying Wu, Xiatao Kang, Jingying Xiao, Jiayi Yao:
Gradient Coupled Flow: Performance Boosting on Network Pruning by Utilizing Implicit Loss Decrease. 231-243 - Hangyuan Du, Yuan Liu, Wenjian Wang, Liang Bai:
Motif-SocialRec: A Multi-channel Interactive Semantic Extraction Model for Social Recommendation. 244-256 - Hu Jin, Qifei Zhang, Xiubo Liang, Yulin Zhou, Wenjuan Li:
Dual Channel Graph Neural Network Enhanced by External Affective Knowledge for Aspect Level Sentiment Analysis. 257-274 - Hui Zhao, Lei Zhou, Qingjie Wang, Sijie Niu, Xizhan Gao, Xiju Zong:
New Predefined-Time Stability Theorem and Applications to the Fuzzy Stochastic Memristive Neural Networks with Impulsive Effects. 275-289 - Chen Zhao, Zhe Yan, Zhiyan Dong, Dingkang Yang, Lihua Zhang:
FE-YOLOv5: Improved YOLOv5 Network for Multi-scale Drone-Captured Scene Detection. 290-304 - Wei Hang Tan, Weng Kin Lai, Pak Hen Chen, Lee Choo Tay, Sheng Siang Lee:
An Improved NSGA-II for UAV Path Planning. 305-316 - Rui Zhou, Jialin Hao, Ying Zou, Yushi Zhu, Chi Zhang, Fusheng Jin:
Reimagining China-US Relations Prediction: A Multi-modal, Knowledge-Driven Approach with KDSCINet. 317-331 - Hui Wang, Hexiang Bai, Jun Huo, Minhu Yang:
A Graph Convolution Neural Network for User-Group Aided Personalized Session-Based Recommendation. 332-345 - Tianli Zhang, Tongya Zheng, Yuanyu Wan, Ying Li, Wenqi Huang:
Disentangling Node Metric Factors for Temporal Link Prediction. 346-357 - Yanqiang Zhang, Dawei Feng, Bo Ding:
Action Prediction for Cooperative Exploration in Multi-agent Reinforcement Learning. 358-372 - Changda Liu, Yunfeng Xu, Jiakui Zhong:
SLAM: A Lightweight Spatial Location Attention Module for Object Detection. 373-387 - Lei Mao, Jianxia Chen, Shi Dong, Liang Xiao, Haoying Si, Shu Li, Xinyun Wu:
A Novel Interaction Convolutional Network Based on Dependency Trees for Aspect-Level Sentiment Analysis. 388-400 - Meilong Shi, Quan Liu, Zhigang Huang:
Efficient Collaboration via Interaction Information in Multi-agent System. 401-412 - Yuchen Lu, Xiangkai Zhang, Xu Yang, Pin Lv, Liguo Sun, Ryan Wen Liu, Yisheng Lv:
A Deep Graph Matching-Based Method for Trajectory Association in Vessel Traffic Surveillance. 413-424 - Anindya Sundar Das, Aravind Ajay, Sriparna Saha, Monowar H. Bhuyan:
Few-Shot Anomaly Detection in Text with Deviation Learning. 425-438 - Yi Li, Qingmeng Zhu, Hao He, Ziyin Gu, Changwen Zheng:
MOC: Multi-modal Sentiment Analysis via Optimal Transport and Contrastive Interactions. 439-451 - Qin Wang, Jianzhou Feng, Ganlin Xu, Lei Huang:
Two-Phase Semantic Retrieval for Explainable Multi-Hop Question Answering. 452-465 - Zaipeng Xie, Ziang Liu, Peng Chen, Jianan Zhang:
Efficient Spiking Neural Architecture Search with Mixed Neuron Models and Variable Thresholds. 466-481 - Liangjiang Lin, Zefeng Chen, Yuren Zhou:
Towards Scalable Feature Selection: An Evolutionary Multitask Algorithm Assisted by Transfer Learning Based Co-surrogate. 482-493 - Zhuohuang Chen, Zhimin He, Yan Zhou, Patrick P. K. Chan, Fei Zhang, Haozhen Situ:
CAS-NN: A Robust Cascade Neural Network Without Compromising Clean Accuracy. 494-505 - Wenxiu Zhao, Changlei Dongye:
Multi-scale Information Fusion Combined with Residual Attention for Text Detection. 506-518 - Xiwen Luo, Qiang Fu, Sheng Qin, Kaiyang Wang:
Encrypted-SNN: A Privacy-Preserving Method for Converting Artificial Neural Networks to Spiking Neural Networks. 519-530 - Ziwen Cheng, Yi Liu, Chao Wu, Yongqi Pan, Liushun Zhao, Cheng Zhu:
PoShapley-BCFL: A Fair and Robust Decentralized Federated Learning Based on Blockchain and the Proof of Shapley-Value. 531-549 - Shu Mo, Kai Hu, Weibing Li, Yongping Pan:
Small-World Echo State Networks for Nonlinear Time-Series Prediction. 550-560 - Ziwei Li, Yucan Zhou, Haihui Fan, Xiaoyan Gu, Bo Li, Dan Meng:
Preserving Potential Neighbors for Low-Degree Nodes via Reweighting in Link Prediction. 561-572 - Laichao Wang, Weiding Lu, Yuan Tian, Yong Guan, Zhenzhou Shao, Zhi-Ping Shi:
6D Object Pose Estimation with Attention Aware Bi-gated Fusion. 573-585
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