66 results on '"Zhao, Xiangyu"'
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2. The 2nd Workshop on Recommendation with Generative Models
3. Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation
4. MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems
5. MLPST: MLP is All You Need for Spatio-Temporal Prediction
6. DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval
7. Assessing Student Performance with Multi-granularity Attention from Online Classroom Dialogue
8. Diffusion Augmentation for Sequential Recommendation
9. Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting
10. PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction
11. Towards Automatic ICD Coding via Knowledge Enhanced Multi-Task Learning
12. HAMUR: Hyper Adapter for Multi-Domain Recommendation
13. STRec: Sparse Transformer for Sequential Recommendations
14. International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023
15. Doctor Specific Tag Recommendation for Online Medical Record Management
16. Trustworthy Recommender Systems: Foundations and Frontiers
17. Mitigating Action Hysteresis in Traffic Signal Control with Traffic Predictive Reinforcement Learning
18. LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems
19. Towards Robust Knowledge Tracing Models via k-Sparse Attention
20. Continuous Input Embedding Size Search For Recommender Systems
21. PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations
22. AutoDPQ: Automated Differentiable Product Quantization for Embedding Compression
23. AutoTransfer: Instance Transfer for Cross-Domain Recommendations
24. Single-shot Feature Selection for Multi-task Recommendations
25. Multi-Task Recommendations with Reinforcement Learning
26. Denoising and Prompt-Tuning for Multi-Behavior Recommendation
27. MMMLP: Multi-modal Multilayer Perceptron for Sequential Recommendations
28. AutoMLP: Automated MLP for Sequential Recommendations
29. Exploration and Regularization of the Latent Action Space in Recommendation
30. AutoDenoise: Automatic Data Instance Denoising for Recommendations
31. IMF: Interactive Multimodal Fusion Model for Link Prediction
32. Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning
33. User Retention-oriented Recommendation with Decision Transformer
34. AutoGen: An Automated Dynamic Model Generation Framework for Recommender System
35. AutoML for Deep Recommender Systems: Fundamentals and Advances
36. Hierarchical Item Inconsistency Signal Learning for Sequence Denoising in Sequential Recommendation
37. PROPN: Personalized Probabilistic Strategic Parameter Optimization in Recommendations
38. Gromov-Wasserstein Guided Representation Learning for Cross-Domain Recommendation
39. MAE4Rec
40. Intelligent UAV Equipped with Infrared Equipment Applied in Measuring Zero Insulatorat in Different Temperatures
41. DDR: Dialogue Based Doctor Recommendation for Online Medical Service
42. AdaFS: Adaptive Feature Selection in Deep Recommender System
43. Knowledge-enhanced Black-box Attacks for Recommendations
44. DRL4IR: 3rd Workshop on Deep Reinforcement Learning for Information Retrieval
45. Graph Trend Filtering Networks for Recommendation
46. AutoField: Automating Feature Selection in Deep Recommender Systems
47. Rating Distribution Calibration for Selection Bias Mitigation in Recommendations
48. Accepted Tutorials at The Web Conference 2022
49. CBR: Context Bias aware Recommendation for Debiasing User Modeling and Click Prediction
50. AutoLoss: Automated Loss Function Search in Recommendations
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