117 results on '"Zhenhua Huang"'
Search Results
2. Post-Distillation via Neural Resuscitation.
3. MGCRL: Multi-view graph convolution and multi-agent reinforcement learning for dialogue state tracking.
4. Improving Knowledge Distillation via Head and Tail Categories.
5. Teacher-student complementary sample contrastive distillation.
6. Learning From Human Educational Wisdom: A Student-Centered Knowledge Distillation Method.
7. Graph Structure Prompt Learning: A Novel Methodology to Improve Performance of Graph Neural Networks.
8. SES: Bridging the Gap Between Explainability and Prediction of Graph Neural Networks.
9. MLSA4Rec: Mamba Combined with Low-Rank Decomposed Self-Attention for Sequential Recommendation.
10. Distinguish Any Fake Videos: Unleashing the Power of Large-scale Data and Motion Features.
11. SRACas: A Social Role-Aware Graph Neural Network-Based Model for Popularity Prediction of Information Cascades.
12. Meta Learning Framework for Improved Long-tail Item Recommendation.
13. Speaker-Aware Interactive Graph Attention Network for Emotion Recognition in Conversation.
14. RAHG: A Role-Aware Hypergraph Neural Network for Node Classification in Graphs.
15. A Lightweight Block With Information Flow Enhancement for Convolutional Neural Networks.
16. Skill-Transferring Knowledge Distillation Method.
17. Graph Relearn Network: Reducing performance variance and improving prediction accuracy of graph neural networks.
18. A Multi-Level Relation-Aware Transformer model for occluded person re-identification.
19. GACRec: Generative adversarial contrastive learning for improved long-tail item recommendation.
20. Lightweight Unbiased Multi-teacher Ensemble for Review-based Recommendation.
21. A context-enhanced sentence representation learning method for close domains with topic modeling.
22. A two-stage embedding model for recommendation with multimodal auxiliary information.
23. Making accurate object detection at the edge: review and new approach.
24. A Side Chain Consensus-Based Decentralized Autonomous Vehicle Group Formation and Maintenance Method in a Highway Scene.
25. A Novel Group Recommendation Model With Two-Stage Deep Learning.
26. A two-phase knowledge distillation model for graph convolutional network-based recommendation.
27. Feature Map Distillation of Thin Nets for Low-Resolution Object Recognition.
28. Comparative Convolutional Dynamic Multi-Attention Recommendation Model.
29. Accessibility for VANET in an Urban Scene.
30. Automatic Curriculum Learning With Over-repetition Penalty for Dialogue Policy Learning.
31. Dynamic Reward-Based Dueling Deep Dyna-Q: Robust Policy Learning in Noisy Environments.
32. Preserve Integrity in Realtime Event Summarization.
33. An effective recommendation model based on deep representation learning.
34. Predicting Emotion Reactions for Human-Computer Conversation: A Variational Approach.
35. Emotion-sensitive deep dyna-Q learning for task-completion dialogue policy learning.
36. Multi-Kernel Online Reinforcement Learning for Path Tracking Control of Intelligent Vehicles.
37. A Systematic Interdisciplinary Engineering and Technology Model Using Cutting-Edge Technologies for STEM Education.
38. Learning Bi-directional Social Influence in Information Cascades using Graph Sequence Attention Networks.
39. Network2Vec: Learning Node Representation Based on Space Mapping in Networks.
40. A Connectivity-Prediction-Based Dynamic Clustering Model for VANET in an Urban Scene.
41. EdgeRNN: A Compact Speech Recognition Network With Spatio-Temporal Features for Edge Computing.
42. Analysis of collective action propagation with multiple recurrences.
43. Deep Representation Learning for Location-Based Recommendation.
44. Social Group Recommendation With TrAdaBoost.
45. An Efficient Group Recommendation Model With Multiattention-Based Neural Networks.
46. GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations.
47. SGCN: A scalable graph convolutional network with graph-shaped kernels and multi-channels.
48. A multi-graph neural group recommendation model with meta-learning and multi-teacher distillation.
49. Tweets Ranking Considering Dynamic Social Influence and Personal Interests.
50. UIContextListRank: A Listwise Recommendation Model with Social Contextual Information.
Catalog
Books, media, physical & digital resources
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.