Zhenghao Liu
Artificial Intelligence · 2018–2024
A researcher in the Science corpus: 9 papers; trusts 335 researchers and is trusted by 25 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 245 citations into it; #7,814 of 35,345 by trust here, #7,413 by citations
- Natural Language Processing — 170 citations into it; #1,853 of 5,688 by trust here, #2,292 by citations
- Computer Vision and Pattern Recognition — 75 citations into it; #20,798 of 21,575 by trust here, #16,367 by citations
- Information Retrieval & Search — 67 citations into it
- Information Systems — 50 citations into it; #2,780 of 8,771 by trust here, #3,098 by citations
- Evaluation & Benchmarks — 38 citations into it
- Large Language Models — 35 citations into it; #299 of 799 by trust here, #609 by citations
- Representation & Self-Supervised Learning — 25 citations into it
Whom Zhenghao Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chenyan Xiong
- Yoshua Bengio
- Geoffrey E. Hinton
- Ilya Sutskever
- Diederik P. Kingma
- Jacob Devlin
- Zhuyun Dai
- Alex Krizhevsky
- Yann LeCun
- Richard Socher
Who trusts Zhenghao Liu overall
- Chenyan Xiong
- Wanjun Zhong
- Neema Kotonya
- Kaitao Zhang
- Canasai Kruengkrai
- Prakhar Gupta
- Deming Ye
- Zeynep Akkalyoncu Yilmaz
- Chen Zhao
- Thomas Diggelmann
Papers from Zhenghao Liu's perspective
Ordered by how strongly the researchers Zhenghao Liu 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- 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
- Fine-grained Fact Verification with Kernel Graph Attention Network (2019) — 254 citations
- Coreferential Reasoning Learning for Language Representation (2020) — 191 citations
- Understanding the Behaviors of BERT in Ranking (2019) — 233 citations
- Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs (2019) — 158 citations
- Selective Weak Supervision for Neural Information Retrieval (2020) — 46 citations
- DocRED: A Large-Scale Document-Level Relation Extraction Dataset (2019) — 584 citations
- Entity-Duet Neural Ranking: Understanding the Role of Knowledge Graph Semantics in Neural Information Retrieval (2018) — 136 citations
- UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset (2024)
- Kernel Graph Attention Network for Fact Verification (2019) — 10 citations