Fuli Feng
Artificial Intelligence · 2017–2023
A researcher in the Science corpus: 15 papers; trusts 325 researchers and is trusted by 28 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 346 citations into it; #7,170 of 35,345 by trust here, #5,187 by citations
- Information Systems — 252 citations into it; #839 of 8,771 by trust here, #471 by citations
- Computer Vision and Pattern Recognition — 165 citations into it; #8,807 of 21,575 by trust here, #7,499 by citations
- Management Science and Operations Research — 113 citations into it; #4,854 of 11,946 by trust here, #1,334 by citations
- Recommender Systems — 80 citations into it
- Natural Language Processing — 65 citations into it
- Representation & Self-Supervised Learning — 47 citations into it
- Marketing — 36 citations into it
Whom Fuli Feng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Xiangnan He
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Ruslan Salakhutdinov
- Ilya Sutskever
- Kaiming He
- Yann LeCun
- Jimmy Ba
Who trusts Fuli Feng overall
- Xiangnan He
- Xiang Wang
- Weiwei Jiang
- Chen Gao
- Junliang Yu
- Ze Hu
- Le Wu
- David M. Beskow
- Xubin Ren
- Wenjie Wang
Papers from Fuli Feng's perspective
Ordered by how strongly the researchers Fuli Feng trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- TEM: Tree-enhanced Embedding Model for Explainable Recommendation (2018) — 259 citations
- Bias and Debias in Recommender System: A Survey and Future Directions (2020) — 923 citations
- TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance (2021) — 562 citations
- Denoising Implicit Feedback for Recommendation (2020) — 334 citations
- Temporal Relational Ranking for Stock Prediction (2018) — 545 citations
- Causal Intervention for Leveraging Popularity Bias in Recommendation (2021) — 535 citations
- TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation (2023) — 782 citations
- Diffusion Recommender Model (2023) — 315 citations
- Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning (2022) — 40 citations
- Self-supervised Graph Learning for Recommendation (2020) — 1,757 citations
- Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System (2020) — 403 citations
- Neural Graph Collaborative Filtering (2019) — 3,905 citations
- Cross-domain Recommendation Without Sharing User-relevant Data (2019) — 146 citations
- Neural Compatibility Modeling with Attentive Knowledge Distillation (2018) — 167 citations
- Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution (2017) — 386 citations