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Publication search results
found 1,322 matches
- 2023
- Zhiwei An, Yirui Tan, Jinli Zhang, Zongli Jiang, Chen Li:
A Session Recommendation Model Based on Heterogeneous Graph Neural Network. KSEM (3) 2023: 160-171 - Haijia Bao, Yu Du, Ya Li:
An Enhanced Fitness-Distance Balance Slime Mould Algorithm and Its Application in Feature Selection. KSEM (1) 2023: 164-178 - Yingshuo Bao, Shuaili Liu, Zhongfeng Qu, Lizhi Peng:
Live-Stream Identification Based on Reasoning Network with Core Traffic Set. KSEM (2) 2023: 16-26 - Zhongtian Bao, Jun Wang, Zhenglu Yang:
Multi-path Based Self-adaptive Cross-lingual Summarization. KSEM (3) 2023: 282-294 - Xinyue Bao, Zili Zhou, Shiliang Gao, Zhaoan Dong, Yuanyuan Lin:
Multi-display Graph Attention Network for Text Classification. KSEM (3) 2023: 78-93 - Chao Chang, Junming Zhou, Weisheng Li, Zhengyang Wu, Jing Gao, Yong Tang:
Explainable Multi-type Item Recommendation System Based on Knowledge Graph. KSEM (3) 2023: 3-15 - Gangbin Chen, Junwei Cheng, Wanying Liang, Chaobo He, Yong Tang:
Graph Contrastive Learning Method with Sample Disparity Constraint and Feature Structure Graph for Node Classification. KSEM (4) 2023: 291-303 - Long Chen, Mingjian Guang, Junli Wang, Chungang Yan:
Dynamic and Static Feature-Aware Microservices Decomposition via Graph Neural Networks. KSEM (1) 2023: 150-163 - Guibin Chen, Xudong Luo, Junlin Zhu:
A Legal Multi-Choice Question Answering Model Based on BERT and Attention. KSEM (4) 2023: 250-266 - Jiahuan Chen, Caihong Mu, Mohammed Alloaa, Yi Liu:
A Hypergraph Augmented and Information Supplementary Network for Session-Based Recommendation. KSEM (3) 2023: 235-243 - Nanxi Chen, Jiyan Qiu, Pengcheng Shi, Wu Yuan, Jian Zhang:
udPINNs: An Enhanced PDE Solving Algorithm Incorporating Domain of Dependence Knowledge. KSEM (4) 2023: 387-402 - Yingpei Chen, Yan Tang, Peihao Ding, Xiaobing Li:
MAGNN-GC: Multi-head Attentive Graph Neural Networks with Global Context for Session-Based Recommendation. KSEM (3) 2023: 39-53 - Zhanxuan Chen, Zhengyang Wu, Yong Tang, Jinwei Zhou:
TGKT-Based Personalized Learning Path Recommendation with Reinforcement Learning. KSEM (3) 2023: 332-346 - Qiang Chen, Guoqiang Xiao:
Sparse-View CT Reconstruction via Implicit Neural Intensity Functions. KSEM (2) 2023: 153-161 - Mao Chen, Yi Xu, Liangzhe Han, Leilei Sun:
Sampling Spatial-Temporal Attention Network for Traffic Forecasting. KSEM (2) 2023: 121-136 - Jie Cui, Fei Pu, Bailin Yang:
Dual-Dimensional Refinement of Knowledge Graph Embedding Representation. KSEM (1) 2023: 124-137 - Peihao Ding, Yan Tang, Yingpei Chen, Xiaobing Li:
DSEAformer: Forecasting by De-stationary Autocorrelation with Edgebound. KSEM (1) 2023: 59-65 - Chengyi Ding, Lianwei Wu, Pusheng Liu, Linyong Wang:
Chinese Relation Extraction with Bi-directional Context-Based Lattice LSTM. KSEM (3) 2023: 54-65 - Huizhen Ding, Zuyao Zhang:
Investigating the Impact of Product Contours on User Perception of Product Attributes. KSEM (2) 2023: 80-88 - Kaifang Dong, Fuyong Xu, Baoxing Jiang, Hongye Li, Peiyu Liu:
Multitask-Based Cluster Transmission for Few-Shot Text Classification. KSEM (1) 2023: 66-77 - Qiyun Fan, Yan Tang, Xiaoming Ding, Qianglong Huangfu, Peihao Ding:
RTAD-TP: Real-Time Anomaly Detection Algorithm for Univariate Time Series Data Based on Two-Parameter Estimation. KSEM (1) 2023: 92-101 - Zepeng Fan, Peican Zhu, Chao Gao, Jinbang Hong, Keke Tang:
DBA: An Efficient Approach to Boost Transfer-Based Adversarial Attack Performance Through Information Deletion. KSEM (2) 2023: 276-288 - Quntian Fang, Zhen Huang, Ziwen Zhang, Minghao Hu, Biao Hu, Ankun Wang, Dong Sheng Li:
Multi-level Contrastive Learning for Commonsense Question Answering. KSEM (4) 2023: 318-331 - Jiamei Feng, Mengchi Liu, Tingkun Nie, Caixia Zhou:
Multi-Sampling Item Response Ranking Neural Cognitive Diagnosis with Bilinear Feature Interaction. KSEM (1) 2023: 102-113 - Guoxi Gan, Jia Su, Zonghui Wen, Shenmeng Zhang:
Temporal Repetition Counting Based on Multi-stride Collaboration. KSEM (3) 2023: 295-306 - Qiang Gao, Hongzhu Fu, Yutao Wei, Li Huang, Xingmin Liu, Guisong Liu:
Spatial-Temporal Diffusion Probabilistic Learning for Crime Prediction. KSEM (2) 2023: 263-275 - Lu Gong, Wen Zhang, Mingkang Li, Jiali Zhang, Zili Zhang:
Prototype-Augmented Contrastive Learning for Few-Shot Unsupervised Domain Adaptation. KSEM (4) 2023: 197-210 - Tengda Guo, Lianxin Lin, Hang Liu, Chengping Zheng, Zhijian Tu, Haizhou Wang:
Implicit Offensive Speech Detection Based on Multi-feature Fusion. KSEM (2) 2023: 27-38 - Mengying Guo, Zhenyu Sun, Yuyi Wang, Xingwu Liu:
Graph Neural Network with Neighborhood Reconnection. KSEM (1) 2023: 40-50 - Yadan Han, Guangquan Lu, Jiecheng Li, Fuqing Ling, Wanxi Chen, Liang Zhang:
Hyperplane Knowledge Graph Embedding with Path Neighborhoods and Mapping Properties. KSEM (1) 2023: 78-91
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