Jianhua Tao

Artificial Intelligence · 2002–2023

A researcher in the Science corpus: 9 papers; trusts 96 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 96 citations into it; #32,308 of 35,345 by trust here, #16,166 by citations
• Signal Processing — 57 citations into it
• Speech & Audio — 46 citations into it; #965 of 1,076 by trust here, #783 by citations
• Natural Language Processing — 39 citations into it; #5,248 of 5,688 by trust here, #4,879 by citations
• Computer Vision and Pattern Recognition — 22 citations into it
• Experimental and Cognitive Psychology — 18 citations into it; #5,737 of 9,731 by trust here, #5,956 by citations
• Representation & Self-Supervised Learning — 13 citations into it
• Model Architectures — 12 citations into it

Whom Jianhua Tao trusts overall

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

1. Geoffrey E. Hinton
2. Yuxuan Wang
3. Yoshua Bengio
4. Heiga Zen
5. Ilya Sutskever
6. Aäron van den Oord
7. Alex Graves
8. Diederik P. Kingma
9. Oriol Vinyals
10. R. Skerry-Ryan

Who trusts Jianhua Tao overall

1. Francisca Adoma Acheampong
2. Chen Wenyu
3. Jinyu Li
4. Sanyuan Chen
5. Xu Tan
6. Rafael A. Calvo
7. Zhaoxi Mu
8. Henry Nunoo-Mensah
9. Sung-Feng Huang
10. Bingcheng Wang

Papers from Jianhua Tao's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Music type classification by spectral contrast feature (2002) — 392 citations
• M2-CTTS: End-to-End Multi-Scale Multi-Modal Conversational Text-to-Speech Synthesis (2023) — 11 citations
• Spoken Content and Voice Factorization for Few-Shot Speaker Adaptation (2020) — 24 citations
• Bi-Level Speaker Supervision for One-Shot Speech Synthesis (2020) — 10 citations
• Forward–Backward Decoding Sequence for Regularizing End-to-End TTS (2019) — 24 citations
• Learn Spelling from Teachers: Transferring Knowledge from Language Models to Sequence-to-Sequence Speech Recognition (2019) — 40 citations
• Improving speech emotion recognition via Transformer-based Predictive Coding through transfer learning (2018) — 18 citations
• Multimodal Continuous Emotion Recognition with Data Augmentation Using Recurrent Neural Networks (2018) — 35 citations
• Affective Computing: A Review (2005) — 536 citations