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20th ICIC 2024: Tianjin, China - Part I (LNAI)
- De-Shuang Huang, Xiankun Zhang, Qinhu Zhang:
Advanced Intelligent Computing Technology and Applications - 20th International Conference, ICIC 2024, Tianjin, China, August 5-8, 2024, Proceedings, Part I (LNAI). Lecture Notes in Computer Science 14875, Springer 2024, ISBN 978-981-97-5662-9
Machine Learning
- Shuo Wang, Yue Yang, Jing Yang, Jiaqi Liu:
A Dynamic Collaborative Recommendation Method Based on Multimodal Fusion. 3-14 - Linfeng Pan, Bo Li:
Image Classification Using Graph Regularized Independent Constraint Low-Rank Representation. 15-24 - Rujia Chen, Yi Xie:
Identifying the Fraudulent Users for E-commerce Applications Based on the Access Behaviors. 25-36 - Yuxia Sun, Siyi Pan, Yang Yang, Ziying Huo, Yuqin Hong:
LIFT: Discriminant Classification Approach of Malware Family on Time Consistent Open Set. 37-49 - Ning Cheng, Zhaohui Yan, Ziming Wang, Zhijie Li, Jiaming Yu, Zilong Zheng, Kewei Tu, Jinan Xu, Wenjuan Han:
Potential and Limitations of LLMs in Capturing Structured Semantics: A Case Study on SRL. 50-61 - Zhongkai Tong, Ziyuan Zhu, Zhangyu Sha, Yuxin Liu, Dan Meng:
Cache Side-Channel Attacks Detection for AES Encryption Based on Machine Learning. 62-74 - Haifeng Zhu, Fu Lin, Wenbin Hu:
WARM: An Interpretability Module with Weighted Association Rule Mining for Recommendation Systems. 75-87 - Weifeng Yang, Wenwen Min:
Globally Convergent Accelerated Algorithms for Multilinear Sparse Logistic Regression with ℓ0-Constraints. 88-99 - Ziqi Shen, Wenjie Huang, Xin Luo, Xiankun Zhang:
Collaborative Filtering Algorithm Based on Contrastive Learning and Filtering Components. 100-111 - Yishuo Bai, Zijian Tian, Wei Chen, Fusong Wang, Jing Guo, Fangyuan He:
IBAS-SVM Rolling Bearing Fault Diagnosis Method Based on Empirical Modal Characteristics. 112-119 - Jingbo Yang, Xin Ji, Wenjun Wu, Jian Ren, Kui Zhang, Wenya Zhang, Qingliang Wang, Tingting Dong:
Using Graph Neural Network to Analyse and Detect Annotation Misuse in Java Code. 120-131 - Jiaguo Yuan, Fengge Wu, Junsuo Zhao:
Graph Causal Contrastive for Partial Label Learning. 132-145 - Jianlong Hao, Chen Zhang:
A Stacking Ensemble Deep Learning Model for Stock Price Forecasting. 146-157 - Zhenyi Shen, Xiahong Mao, Chao Wang, Dan Zhao, Shuangxue Zhao:
Smart Trading: A Novel Reinforcement Learning Framework for Quantitative Trading in Noisy Markets. 158-170 - Jindian Su, Yueqi Mou, Yunhao Xie:
Enhancing Image Captioning with Transformer-Based Two-Pass Decoding Framework. 171-183 - Zhichen Wu, Hongbin Zhang, Lianglun Cheng, Tao Wang, Chong Chen:
Ontology-Aware Overlapping Event Extraction. 184-196 - Ziyuan Wang, Xiaoyan Liang, Ruizhong Du, Junfeng Tian, Siyi Zhang:
TVD-BERT: A Domain-Adaptation Pre-trained Model for Textural Vulnerability Descriptions. 197-208 - Yilin Zhong, Jiahao Xie, Jie Wang, Bo Fan, Zhaoer Fang, Banghuang Peng:
Improving Large Language Models in Multi-party Conversations Through Role-Playing. 209-220 - Junyao Zhou, Ruiqing Du, Yushan Tan, Jintao Yang, Zonghao Yang, Wei Luo, Zhunchen Luo, Xian Zhou, Wenpeng Hu:
Context Compression and Extraction: Efficiency Inference of Large Language Models. 221-232 - Jingjing Guo, Bo Yi, Xingwei Wang, Jiaxin Zhang, Enliang Lv, Kaimin Zhang, Lin Qiu:
Federated Learning: Bridging Data Privacy and Model Accuracy on JointCloud. 233-244 - Jian Zhang, Yun Hai Gao, Gui Yun Zhang:
New Learning Models Based on the Combination of Variational Graph Autoencoder/Graph Autoencoder with Context Self-supervised Learning for Link Prediction. 245-256 - Weijie Xu, Jingwei Tan, Shulin Wang, Sheng Yang:
Temporal Relation-Aware Global Attention Network for Temporal Action Detection. 257-269 - Hanlin Wang, Zhijian Li:
A Robust Outlier Detection Method in High-Dimensional Data Based on Mutual Information and Principal Component Analysis. 270-281 - Lifeng Lu, Yanhua Zhang, Zhanjun Si, Zhuangzhuang Dou:
Research on Anomaly Detection of Parts in Workshop Production Line Based on BO-XGBoostLSS. 282-291 - JingQiu Wang, Weiyu Guo:
Interpretable Enterprise Credit Rating via Reinforcement Learning. 292-303 - Minda Yao, Wei Chen, Tingting Xu, Chuanlei Zhang, Jueting Liu, Dufeng Chen, Zehua Wang:
Federated Meta-Learning: Methodologies and Directions. 304-314 - Kailing Zhou, Hong Jia:
Multi-view Clustering Based on Collaborative Reconstruction. 315-327 - Shanshan Yin, Xin Ruan, Jiayi Song, Wenguang Zheng:
Music Recommendation Algorithm Based on Dual-Stream Sequence Fusion. 328-339 - Siyuan Li, Wenguang Zheng, Jiayang Li, Yingyuan Xiao:
BioU-Net: Diagnosis Network Based on Spectral Feature Enhancement for Myocardial Infarction. 340-351 - Zhaorui Jian, Shenquan Liu, Huixin Yin:
A Multi-granularity Contrastive Learning for Distantly Supervised Relation Extraction. 352-364 - Huanrong Tang, Xinghai Liao, Jianquan Ouyang:
RIFL: A Fair Incentive Mechanism for Federated Learning. 365-377 - Weiwei Yang, Xiaoliang Wang, Bosheng Chen, Yong Liu, Bing Wang, Hui Wang, Xiaoke Wang, Haitao Zhua, Zhehao Wang:
An Experimental Research of Text-to-SQL for Heterogeneous Data in Large Language Models. 378-389 - Xiaobin Zhang, Liangjun Zang, Qianwen Liu, Shuchong Wei, Songlin Hu:
MetaPETR: An Effective Model for Handling Class-Imbalanced Data About Event Temporal Relations. 390-401 - Lingyun Wang, Xiangjie Kong, Jianxin Li, Can Shu, Guojiang Shen:
Exploring Personalized Intents with Knowledge Graph for Federated Self-supervised Recommendation. 402-414 - Weijie He, Yuanxin Ouyang, Keqin Peng, Wenge Rong, Zhang Xiong:
Disentangled Hierarchical Attention Graph Neural Network for Recommendation. 415-426 - Jiayi Shan, Fanjun Meng, Xingjian Xu:
KeyHierQC: Leveraging Keywords and Hierarchical Data for Enhanced Classification of Question Knowledge Points. 427-438 - Zitong Bo, Chaoyi Yang, Yilin Li, Kaiyue Xu, Ying Qiao, Chang Leng, Hongan Wang:
HFGCN: Hybrid Filter Graph Convolutional Network for Heterophilic Graphs. 439-450 - Haizheng Yu, Hong Bian:
Interpretable Coronary Artery Disease Prediction Based on K-Stacking Model. 451-463 - Li Yu, Zihao Gao:
Session-Based Recommendation via Hierarchical Graph Learning. 464-475 - Yi Xu, Qisheng Zhu, ZhengYue Pan, Yin Liu:
Multi-scale Few-Shot Classification Model Based on Attention Mechanism. 476-487 - Jinyu He, Xiaowei Song, Xiaohan Yan, Nan Wang, Yuqi Miao, Zijian Jiang, Fei Chao, Yan Zhang, Shengchuan Zhang, Rongrong Ji:
GreedyAgent: Crafting Efficient Agents for Meta-learning from Learning Curves via Greedy Algorithm Selection. 488-499
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