Lixin Su

Artificial Intelligence · Web Search and Data Mining · 2023

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 81 citations into it
• Information Systems — 50 citations into it

Whom Lixin Su trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Xiang Wang
2. Xiangnan He

Papers from Lixin Su's perspective

Ordered by how strongly the researchers Lixin Su trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Representation Learning with Contrastive Predictive Coding
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Decoupled Weight Decay Regularization
10. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)

Their papers

• GraphGPT: Graph Instruction Tuning for Large Language Models (2023) — 364 citations
• Representation Learning with Large Language Models for Recommendation (2023) — 427 citations
• LLMRec: Large Language Models with Graph Augmentation for Recommendation (2023) — 451 citations