Jiang Bian

Artificial Intelligence · Knowledge and Information Systems · 2008–2024

A researcher in the Science corpus: 24 papers; trusts 695 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 581 citations into it; #10,682 of 35,345 by trust here, #5,002 by citations
• Computer Vision and Pattern Recognition — 257 citations into it; #10,620 of 21,575 by trust here, #6,426 by citations
• Signal Processing — 199 citations into it
• Natural Language Processing — 179 citations into it
• Speech & Audio — 150 citations into it
• Representation & Self-Supervised Learning — 104 citations into it
• Generative Models — 96 citations into it
• Model Architectures — 79 citations into it

Whom Jiang Bian trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Tomas Mikolov
4. Alex Krizhevsky
5. Diederik P. Kingma
6. Kaiming He
7. Ilya Sutskever
8. Yann LeCun
9. Alex Graves
10. Richard Socher

Who trusts Jiang Bian overall

1. Nikola Mrksic
2. Ivan Srba
3. Sascha Rothe
4. Gintare Karolina Dziugaite
5. Piotr Wojciech Mirowski
6. Chang Xu
7. Michihiro Yasunaga
8. Maria Bielikova
9. Hinrich Schütze
10. Andreas Vlachos

Papers from Jiang Bian's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Dual Supervised Learning (2017) — 148 citations
• RC-NET: A General Framework for Incorporating Knowledge into Word Representations (2014) — 205 citations
• Knowledge-Powered Deep Learning for Word Embedding (2014) — 188 citations
• Learning What Data to Learn (2017) — 85 citations
• Dual Transfer Learning for Neural Machine Translation with Marginal Distribution Regularization (2018) — 66 citations
• Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks (2014) — 355 citations
• Learning to recognize reliable users and content in social media with coupled mutual reinforcement (2009) — 192 citations
• Fully Parameterized Quantile Function for Distributional Reinforcement Learning (2019) — 183 citations
• NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers (2023) — 394 citations
• Model complexity of deep learning: a survey (2021) — 399 citations
• NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models (2024) — 403 citations
• Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction (2017) — 345 citations
• Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures (2022) — 294 citations
• Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers (2024) — 334 citations
• AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models (2023) — 107 citations
• UniAudio: An Audio Foundation Model Toward Universal Audio Generation (2023) — 215 citations
• Regeneration Learning: A Learning Paradigm for Data Generation (2023) — 20 citations
• PromptTTS 2: Describing and Generating Voices with Text Prompt (2023) — 87 citations
• Learning to Reweight with Deep Interactions (2021) — 6 citations
• Deep Subdomain Adaptation Network for Image Classification (2020) — 1,091 citations