118 results on '"Fajie Yuan"'
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2. Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness.
3. TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback.
4. Multi-Modality is All You Need for Transferable Recommender Systems.
5. Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights.
6. An Image Dataset for Benchmarking Recommender Systems with Raw Pixels.
7. Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors.
8. Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset.
9. SaProt: Protein Language Modeling with Structure-aware Vocabulary.
10. Where to Go Next for Recommender Systems? ID- vs. Modality-based Recommender Models Revisited.
11. Offline Trajectory Generalization for Offline Reinforcement Learning.
12. Highly accurate classification and discovery of microbial protein-coding gene functions using FunGeneTyper: an extensible deep learning framework.
13. Lifelong language learning with adaptive uncertainty regularization.
14. User-Specific Adaptive Fine-Tuning for Cross-Domain Recommendations.
15. CmnRec: Sequential Recommendations With Chunk-Accelerated Memory Network.
16. Enhancing Top-N Item Recommendations by Peer Collaboration.
17. Hypergraph Node Representation Learning with One-Stage Message Passing.
18. Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights.
19. NineRec: A Benchmark Dataset Suite for Evaluating Transferable Recommendation.
20. Exploring the Upper Limits of Text-Based Collaborative Filtering Using Large Language Models: Discoveries and Insights.
21. FMMRec: Fairness-aware Multimodal Recommendation.
22. Multi-Modality is All You Need for Transferable Recommender Systems.
23. An Image Dataset for Benchmarking Recommender Systems with Raw Pixels.
24. A Content-Driven Micro-Video Recommendation Dataset at Scale.
25. Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking.
26. Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-training.
27. A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models.
28. StackRec: Efficient Training of Very Deep Sequential Recommender Models by Iterative Stacking.
29. One Person, One Model, One World: Learning Continual User Representation without Forgetting.
30. Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification.
31. Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement.
32. Exploring evolution-aware & -free protein language models as protein function predictors.
33. Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems.
34. Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation.
35. Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation.
36. A Generic Network Compression Framework for Sequential Recommender Systems.
37. VSE-fs: Fast Full-Sample Visual Semantic Embedding.
38. Exploring evolution-based & -free protein language models as protein function predictors.
39. TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback.
40. Dynamic Item Block and Prediction Enhancing Block for Sequential Recommendation.
41. A Simple Convolutional Generative Network for Next Item Recommendation.
42. Adversarial Training Towards Robust Multimedia Recommender System.
43. Approximating Word Ranking and Negative Sampling for Word Embedding.
44. Batch IS NOT Heavy: Learning Word Representations From All Samples.
45. Improving Negative Sampling for Word Representation using Self-embedded Features.
46. fBGD: Learning Embeddings From Positive Unlabeled Data with BGD.
47. VSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling.
48. Enhancing Top-N Item Recommendations by Peer Collaboration.
49. User-specific Adaptive Fine-tuning for Cross-domain Recommendations.
50. Scene-adaptive Knowledge Distillation for Sequential Recommendation via Differentiable Architecture Search.
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