- Siyuan Hao, Le Dai, Le Zhang, Shengming Zhang, Chao Wang, Chuan Qin, Hui Xiong:
Hybrid Heterogeneous Graph Neural Networks for Fund Performance Prediction. KSEM (2) 2023: 301-317 - Ruozhou He
, Liting Li
, Bei Hua
, Jianjun Tong, Chang Tan:
ST-MAN: Spatio-Temporal Multimodal Attention Network for Traffic Prediction. KSEM (2) 2023: 137-152 - Fuxiao He
, Guoqiang Xiao
:
An Efficient One-Shot Network and Robust Data Associations in Multi-pedestrian Tracking. KSEM (2) 2023: 104-120 - Yun Hou, Yuanxin Ouyang, Zhuang Liu, Fujing Han, Wenge Rong, Zhang Xiong:
Multi-level and Multi-interest User Interest Modeling for News Recommendation. KSEM (3) 2023: 200-212 - Junjie Hu
, Chenyou Fan, Hualie Jiang, Xiyue Guo, Yuan Gao, Xiangyong Lu, Tin Lun Lam
:
Boosting LightWeight Depth Estimation via Knowledge Distillation. KSEM (1) 2023: 27-39 - Haonan Hu, Dazhong Rong, Jianhai Chen, Qinming He, Zhenguang Liu:
CoMeta: Enhancing Meta Embeddings with Collaborative Information in Cold-Start Problem of Recommendation. KSEM (3) 2023: 213-225 - Jun Hu, Jinyan Wang, Quanmin Wei
, Du Kai, Xianxian Li:
Learning Graph Neural Networks on Feature-Missing Graphs. KSEM (1) 2023: 255-262 - Li Huang
, Kai Liu
, Chaoran Liu
, Qiang Gao
, Xiao Zhou
, Guisong Liu
:
HBay: Predicting Human Mobility via Hyperspherical Bayesian Learning. KSEM (2) 2023: 249-262 - Chengcheng Huang, Shiqun Yin, Lei Li, Yaling Zhang:
MA-TGNN: Multiple Aggregators Graph-Based Model for Text Classification. KSEM (3) 2023: 66-77 - Hong Jia, Menghan Dong:
Subspace Clustering with Feature Grouping for Categorical Data. KSEM (1) 2023: 247-254 - Hong Jia, Jian Huang:
Low Redundancy Learning for Unsupervised Multi-view Feature Selection. KSEM (1) 2023: 179-190 - Changnan Jiang, Chunhe Xia, Zhuodong Liu, Tianbo Wang:
FedDroidADP: An Adaptive Privacy-Preserving Framework for Federated-Learning-Based Android Malware Classification System. KSEM (3) 2023: 184-199 - Di Jin, Zhiqiang Wang, Cuiying Huo, Zhizhi Yu, Dongxiao He, Yuxiao Huang:
Local-Global Fusion Augmented Graph Contrastive Learning Based on Generative Models. KSEM (4) 2023: 56-68 - Ziyan Ke, Lingxi Peng, Yiduan Chen, Jie Liu, Xuebing Luo, Jinhui Lin, Zhiwen Yu:
MixUNet: A Hybrid Retinal Vessels Segmentation Model Combining The Latest CNN and MLPs. KSEM (1) 2023: 405-413 - Jiuqiang Li
:
EACCNet: Enhanced Auto-Cross Correlation Network for Few-Shot Classification. KSEM (1) 2023: 354-365 - Ying Li, Guohua Chen, Yong Tang, Nini Zhang:
Fusion High-Order Information with Nonnegative Matrix Factorization Based Community Infomax for Community Detection. KSEM (3) 2023: 347-359 - Haorong Li, Zihao Chen, Jingtao Zhou, Shuangyin Li:
Reducing the Teacher-Student Gap via Elastic Student. KSEM (1) 2023: 442-453 - Chen Li, Yang Cao, Ye Zhu, Jinli Zhang, Annisa, Debo Cheng, Huidong Tang, Shuai Jiang, Kenta Maruyama, Yasuhiko Morimoto:
An Enhanced Distributed Algorithm for Area Skyline Computation Based on Apache Spark. KSEM (4) 2023: 35-43 - Ding Li
, Wenzhong Li
, Yizhou Chen, Xu Zhong, Mingkai Lin, Sanglu Lu:
Learning-Based Dichotomy Graph Sketch for Summarizing Graph Streams with High Accuracy. KSEM (2) 2023: 47-59 - Xiaohong Li, Ruihong Li, Qixuan Peng, Huifang Ma:
Candidate-Aware Attention Enhanced Graph Neural Network for News Recommendation. KSEM (3) 2023: 244-255 - Yu Li, Haonan Li, Peng Wang, Xu Cui, Zhenguo Zhang:
Univariate Time Series Forecasting via Interactive Learning. KSEM (4) 2023: 343-355 - Hui Li, Miaomiao Sun, Kuisheng Chen, Zhenfeng Zhu:
Disentangled Multi-factor Graph Neural Network for Non-coding RNA-Drug Resistance Association Prediction. KSEM (2) 2023: 446-457 - Liting Li
, Yueheng Sun
, Tianpeng Li
, Minglai Shao:
Robust Few-Shot Graph Anomaly Detection via Graph Coarsening. KSEM (1) 2023: 414-429 - Yinggang Li, Xiangrong Tong:
Multi-layer Attention Social Recommendation System Based on Deep Reinforcement Learning. KSEM (3) 2023: 307-316 - Yafang Li, Wenbo Wang, Guixiang Ma, Baokai Zu:
Community-Enhanced Contrastive Siamese Networks for Graph Representation Learning. KSEM (1) 2023: 300-314 - Ye Li, Mei Wang, Jianwen Su:
An Evaluation Metric for Prediction Stability with Imprecise Data. KSEM (1) 2023: 430-441 - Jinxu Li, Qian Zhou, Wei Chen, Lei Zhao:
Enhanced Entity Interaction Modeling for Multi-Modal Entity Alignment. KSEM (2) 2023: 214-227 - Zhaokui Li, Jinen Zhang, Wei Li, Fei Li, Ke Bi, Hongli Li:
A Quantitative Spectra Analysis Framework Combining Mixup and Band Attention for Predicting Soluble Solid Content of Blueberries. KSEM (4) 2023: 366-373 - Mingkang Li, Jiali Zhang, Wen Zhang, Lu Gong, Zili Zhang:
Style Augmentation and Domain-Aware Parametric Contrastive Learning for Domain Generalization. KSEM (4) 2023: 211-224 - Yi Liang, Shuai Zhao, Bo Cheng, Hao Yang:
Twin Graph Attention Network with Evolution Pattern Learner for Few-Shot Temporal Knowledge Graph Completion. KSEM (1) 2023: 234-246