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ORCID20th ICIC 2024: Tianjin, China - Part II
- De-Shuang Huang, Xiankun Zhang, Yijie Pan:
Advanced Intelligent Computing Technology and Applications - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14863, Springer 2024, ISBN 978-981-97-5580-6
Machine Learning and Swarm Intelligence in Optimization and Industrial Applications
- Tao Zheng
, Bin Yang:
Multi-server Cooperative Offloading Strategy for Dependent Tasks Based on Improved Genetic Algorithm. 3-14 - Daoran Jiang, Xiaolong Zhang, Xiaoli Lin, He Deng, Hongwei Ren:
A 3D Liver Semantic Segmentation Method Based on U-shaped Feature Fusion Enhancement. 15-27 - Tianwei Zhou, Yulong Zhang, Yunbao Pan, Guanghui Yue, Ben Niu:
Dynamic Elite Individual Setting Based Heterogeneous Comprehensive Learning Particle Swarm Optimization. 28-43 - Xin Jiang, Pengjiang Qian, Chuang Wang:
Fault Diagnosis Network for Rotating Machinery Based on Multiscale Feature Fusion. 44-55 - Ruiqi Han, Liangliang Zhang, Pan Zhang, Lin Wang, Bo Yang, Yuhang Xie:
An Advanced Deep Learning-Based High-Resolution μCT Images Construction Method for Cement Hydration Microstructure. 56-67 - Hang Qi, Weijiang Wang, Chuxuan Shan, Xiaohua Wang, Minli Jia, Hua Dang:
FD-DUNet: Frequency Domain Global Modeling Enhances Receptive Field Expansion UNet for Efficient Medical Image Segmentation. 68-80 - Qingyi Pan, Pei Yang, Jingyi Zhang:
BayesTSF: Measuring Uncertainty Estimation in Industrial Time Series Forecasting from a Bayesian Perspective. 81-93 - Jiuyun Cai, Ke Niu, Yijie Pan, Wenjuan Tai, Jiacheng Han:
PESAM: Privacy-Enhanced Segment Anything Model for Medical Image Segmentation. 94-105 - Wenhao Rao, Haochen Wang, Kailong Zhuang, Jiayang Guo, Peipei Gu, Ling Zhang, Xiaolu Wang, Jun Jiang, Duo Chen:
Automatic Multi-label Classification of Interictal Epileptiform Discharges (IED) Detection Based on Scalp EEG and Transformer. 106-117 - Pei-Hua Song, Ying Li, Jin-Yuan Jia:
Fast Path Planning Algorithm for 3D Indoor Scene Roaming Based on Path Table. 118-129 - Qian Zhang, Guanjun Liu, Changjun Jiang:
An Optimization Method Based on Drift Data and Time Series Information. 130-141 - Shuang Feng, Letian Wang, Chang Li, Xiaohua Wan, Fa Zhang, Bin Hu:
IG-GRD: A Model Based on Disentangled Graph Representation Learning for Imaging Genetic Data Fusion. 142-153 - Lingjing Lai, Yulin Wu, Jingyuan Fan, Fangrui Bai, Chao Fan, Kai Jin:
Automatic Meibomian Gland Segmentation and Assessment Based on TransUnet with Data Augmentation. 154-165 - Cong Chen, Jin Zhou, Shiyuan Han, Yingxu Wang, Tao Du, Cheng Yang, Bowen Liu:
Graph Embedding-Based Deep Multi-view Clustering. 166-175
Nature-Inspired Intelligent Computing, Optimization and Applications
- Fuhao Xu, Junqing Li:
A Multi-action Reinforcement Learning Framework via Pointer Graph Neural Network for Flexible Job-Shop Scheduling Problems with Resource Transfer. 179-190 - Pengcheng Jiang, Yu Xue, Ferrante Neri, Mohamed Wahib:
Surrogate-Assisted Evolutionary Neural Architecture Search with Isomorphic Training and Prediction. 191-203 - Junya Wang, Guanxiong Wu, Tiantian Tian, Qihua Lin, Chu Xiao, Xiaoyu Tao, Jianqiang Li, Yuantao Li, Jie Chen:
Explainable Deep Learning with Human Feedback for Perioperative Complications Prediction. 204-217 - Zeyi Wang, Songbai Liu, Jianyong Chen, Kay Chen Tan:
Large Language Model-Aided Evolutionary Search for Constrained Multiobjective Optimization. 218-230 - Futao Liao, Shaowei Zhang, Dong Xiao, Hui Wang, Hai Zhang:
An Indicator-Based Firefly Algorithm for Many-Objective Optimization. 231-244 - Hongwei Su, Han Liu, Weipeng Cao, Zhong Ming:
Knowledge Distillation with Classmate. 245-256 - Yeming Yang, Qingling Zhu:
Constrained Sampling-Based Evolutionary Neural Architecture Search for GANs. 257-268 - Ming Dai, Aimei Kang, ZengRi Zeng, Yuxuan Yang, Bing Huang, Jiayi Peng, Wenjian Luo, Genghui Li:
Toward Unknown/Known Cyberattack Detection with a Causal Transformer. 269-280 - Zhouming Zhu, Lingjie Li, Zhijiao Xiao, Songbai Liu, Lijia Ma, Qiuzhen Lin, Zhong Ming:
A High-Dimensional Feature Selection Method via Selection and Non-selection Operators and Local Search Mechanism in Particle Swarm Optimization. 281-294 - Yifan Gu, Hua Xu, Rui Li, Jinfeng Yang:
An Improved Genetic Algorithm Combining Tabu Search for Solving Flexible Job Shop Scheduling Problem with Transportation and Start-Stop Constraints. 295-307 - Minxiao Zhong, Yuqi Feng, Qing Li, Yanan Sun:
Precisely Predicting Neutronics Parameters of Nuclear Reactor. 308-319 - Xiaotian Song, Shuchao Deng, Jiahao Fan, Yanan Sun:
Physics-Informed Neural Networks with Generalized Residual-Based Adaptive Sampling. 320-332 - Yuan Zhao, Xianghong Lin, Zequn Zhang, Chengyang Xie, Ruidong Ma:
Spiking Generative Adversarial Network for Controllable Affective Music Creation. 333-342 - Hong Lin, Nuo Chen, Yang Chen, Xiang Li, Cong Li:
BotScout: A Social Bot Detection Algorithm Based on Semantics, Attributes and Neighborhoods. 343-355 - Yufei Wei, Hongtao Wang, Peiquan Jin:
Optimizing the B+tree Index with Hotness Awareness and Adaptivity. 356-367 - Minghui Hu, Zhenhua Li, Hanwen Zhang:
Enhancing Mutation Matrix Adaptation Evolution Strategy with Orthogonal Sampling. 368-380
Reinforcement Learning
- Yufan Lu, Chuang Hu, Yili Gong, Dazhao Cheng:
Improving User Experience via Reinforcement Learning-Based Resource Management on Mobile Devices. 383-395 - Jingpu Yang, Helin Wang, Qirui Zhao, Zhecheng Shi, Zirui Song, Miao Fang:
Efficient Reinforcement Learning via Decoupling Exploration and Utilization. 396-406 - Lingzhong Zhao, Fuliang Luo, Zhongyi Zhai, Junyan Qian, Hao Ding, Changye Li:
MAIT: Multi-agent Local Observation Interaction to Improve the Decision-Making Ability. 407-418 - Jian Song, Xiangfei Yang, Xuetao Zhang, Donglin Wang:
Calibrating the Converted Spiking Reinforcement Learning. 419-431 - Xianwei Zhou, Chulue Zhang, Yifan Lin, Songsen Yu:
Value Function Evaluation with Data Augmentation for Offline Reinforcement Learning. 432-442 - Ruilin Jiang, Yanlong Zhai, Yan Zheng, You Li, Yanglin Liu:
OB-HPPO: An Option and Intrinsic Curiosity Based Hierarchical Reinforcement Learning Approach for Real-Time Strategy Games. 443-454 - Qi Si, Jilin Shi, Weiyi Li, Xuesong Lu, Peng Pu:
DeepMRA: An Efficient Microservices Resource Allocation Framework with Deep Reinforcement Learning in the Cloud. 455-466 - Linwei Yao, Qichao Chen, Lianghao Gong, Kuan Li:
Multi-NPDQ: A Multi-agent Approach Through Deep Reinforcement Learning for Operation Scheduling. 467-479 - Yingao Gao, Shuo Shi, Guojing Liu, Xiangqian Ding:
A Novel Reinforcement Learning Approach for Enhancing Flexible Job-Shop Scheduling with Dual Gated-Attention Network. 480-492 - Ting Ke, Yaozong Zheng, Zhanshuo Liu, Jianan Shen:
Exploration of Railway Signal Unloading Task Based on Deep Reinforcement Learning Method. 493-503 - Weixia Cai, Hong Chen, Huashan Chen, Feng Liu:
Optimal Defense Strategy for Multi-agents Using Value Decomposition Networks. 504-516
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