Haozhe Ji
Artificial Intelligence · 2018–2026
A researcher in the Science corpus: 6 papers; trusts 110 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 139 citations into it; #21,004 of 35,345 by trust here, #8,893 by citations
- Natural Language Processing — 98 citations into it; #3,585 of 5,688 by trust here, #2,605 by citations
- Computer Vision and Pattern Recognition — 43 citations into it; #13,164 of 21,575 by trust here, #8,409 by citations
- Large Language Models — 32 citations into it
- Evaluation & Benchmarks — 22 citations into it
- Representation & Self-Supervised Learning — 16 citations into it
- Optimization & Training — 9 citations into it
- Graph Learning — 7 citations into it
Whom Haozhe Ji trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Jimmy Ba
- Ilya Sutskever
- Richard Socher
- Alec Radford
- Alex Krizhevsky
- Yann LeCun
- Sepp Hochreiter
Who trusts Haozhe Ji overall
- Chenguang Zhu
- Akari Asai
- W. Yu
- Badr AlKhamissi
- Jinhyuk Lee
- Bernhard Kratzwald
- Hao Cheng
- Vikas Yadav
- Hannaneh Hajishirzi
- Rajarshi Das
Papers from Haozhe Ji's perspective
Ordered by how strongly the researchers Haozhe Ji trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Denoising Distantly Supervised Open-Domain Question Answering (2018) — 151 citations
- Language Generation with Multi-hop Reasoning on Commonsense Knowledge Graph (2020) — 120 citations
- CPM: A Large-scale Generative Chinese Pre-trained Language Model (2020) — 132 citations
- DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence (2026) — 347 citations
- DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models (2025) — 637 citations
- SentiLARE: Linguistic Knowledge Enhanced Language Representation for Sentiment Analysis (2019) — 80 citations