Jiancheng Lv
Artificial Intelligence · 2018–2022
A researcher in the Science corpus: 11 papers; trusts 610 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 229 citations into it
- Computer Vision and Pattern Recognition — 222 citations into it
- Natural Language Processing — 104 citations into it
- Representation & Self-Supervised Learning — 53 citations into it
- Media Technology — 38 citations into it
- Model Architectures — 33 citations into it
- Optimization & Training — 21 citations into it
- Signal Processing — 16 citations into it
Whom Jiancheng Lv trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alex Krizhevsky
- Kaiming He
- Yoshua Bengio
- Yann LeCun
- Ilya Sutskever
- Karen Simonyan
- Radford M. Neal
- Jimmy Ba
Who trusts Jiancheng Lv overall
Papers from Jiancheng Lv's perspective
Ordered by how strongly the researchers Jiancheng Lv trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- GLGE: A New General Language Generation Evaluation Benchmark (2020) — 75 citations
- RikiNet: Reading Wikipedia Pages for Natural Question Answering (2020) — 59 citations
- Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning (2019) — 53 citations
- TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance (2021) — 562 citations
- Robust Multi-View Clustering With Incomplete Information (2022) — 355 citations
- Dual Contrastive Prediction for Incomplete Multi-View Representation Learning (2022) — 328 citations
- All-In-One Image Restoration for Unknown Corruption (2022) — 572 citations
- COMPLETER: Incomplete Multi-view Clustering via Contrastive Prediction (2021) — 440 citations
- Zero-shot learning by mutual information estimation and maximization (2020) — 27 citations
- COMIC: Multi-view Clustering Without Parameter Selection (2019) — 358 citations
- Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification (2018) — 729 citations