129 results on '"Derong Shen"'
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2. A Hierarchical Structure Explanation Method for Complex Tables.
3. High-Dimensional Nearest Neighbor Search-Based Blocking in Entity Resolution.
4. LRER: A Low-Resource Entity Resolution Framework with Hybrid Information.
5. Matching Feature Separation Network for Domain Adaptation in Entity Matching.
6. Enhancing Knowledge Graph Attention by Temporal Modeling for Entity Alignment with Sparse Seeds.
7. Learning Implicit Sentiment for Explainable Review-Based Recommendation.
8. Exploring the Design Space of Unsupervised Blocking with Pre-trained Language Models in Entity Resolution.
9. Rule-Enhanced Evolutional Dual Graph Convolutional Network for Temporal Knowledge Graph Link Prediction.
10. A Blockchain Query Optimization Method Based on Hybrid Indexes.
11. Temporal Convolution and Multi-Attention Jointly Enhanced Electricity Load Forecasting.
12. Exploiting Item Relationships with Dual-Channel Attention Networks for Session-Based Recommendation.
13. An Efficient Storage Optimization Scheme for Blockchain Based on Hash Slot.
14. Domain-Generic Pre-Training for Low-Cost Entity Matching via Domain Alignment and Domain Antagonism.
15. Soft Target-Enhanced Matching Framework for Deep Entity Matching.
16. CFCT: The cell function classification method for complex tables.
17. Dual-Guided Collective Entity Alignment for Knowledge Graphs.
18. Empowering Transformer with Hybrid Matching Knowledge for Entity Matching.
19. Information Networks Based Multi-semantic Data Embedding for Entity Resolution.
20. Multi-task Generative Adversarial Network for Missing Mobility Data Imputation.
21. Dual-level Hypergraph Representation Learning for Group Recommendation.
22. An Efficient Query Architecture for Permissioned Blockchain.
23. Efficient Multi-party Privacy-Preserving Record Linkage Based on Blockchain.
24. Multi-view Based Entity Frequency-Aware Graph Neural Network for Temporal Knowledge Graph Link Prediction.
25. Enabling Verifiable Single-Attribute Range Queries on Erasure-Coded Sharding-Based Blockchain Systems.
26. Bi-Directional Neighborhood-Aware Network for Entity Alignment in Knowledge Graphs.
27. SAREM: Semi-supervised Active Heterogeneous Entity Matching Framework.
28. Multi-party Privacy-Preserving Record Linkage Method Based on Trusted Execution Environment.
29. Sentiment-Aware Neural Recommendation with Opinion-Based Explanations.
30. B-store, a General Block Storage and Retrieval System for Blockchain.
31. MCQL: A Multi-node Consortium Blockchain Query Method Based on Node Dynamic Adjustment.
32. Missing POI Check-in Identification Using Generative Adversarial Networks.
33. Entity Resolution with Hybrid Attention-Based Networks.
34. MOBA Game Analysis System Based on Neural Networks.
35. A Method of MOBA Game Lineup Recommendation Based on NSGA-II.
36. Entity Alignment of Knowledge Graph by Joint Graph Attention and Translation Representation.
37. Heterogeneous Embeddings for Relational Data Integration Tasks.
38. DualLink: Dual Domain Adaptation for User Identity Linkage Across Social Networks.
39. Explainable Recommendation via Neural Rating Regression and Fine-Grained Sentiment Perception.
40. Constructing Knowledge Representation Vectors by Symbolic Fourier Approximation and Dynamic Time Warping to Improve Time Series Classification.
41. Efficient Team Formation in Social Networks based on Constrained Pattern Graph.
42. Multi-grained Cross-modal Similarity Query with Interpretability.
43. Link Prediction Based on Smooth Evolution of Network Embedding.
44. An Explainable Recommendation Method Based on Multi-timeslice Graph Embedding.
45. An Approach for Progressive Set Similarity Join with GPU Accelerating.
46. Web Table Column Type Detection Using Deep Learning and Probability Graph Model.
47. A Cross-Network User Identification Model Based on Two-Phase Expansion.
48. Link Prediction Based on Node Embedding and Personalized Time Interval in Temporal Multi-relational Network.
49. Exploiting Unlabeled Ties for Link Prediction in Incomplete Signed Networks.
50. Sequence Translating Model Using Deep Neural Block Cascade Network: Taking Protein Secondary Structure Prediction as an Example.
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