Hao Zhou

Artificial Intelligence · with Li · 2017–2022

A researcher in the Science corpus: 20 papers; trusts 503 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Artificial Intelligence — 445 citations into it; #9,038 of 35,345 by trust here, #2,853 by citations
Natural Language Processing — 383 citations into it; #3,219 of 5,688 by trust here, #1,443 by citations
Computer Vision and Pattern Recognition — 161 citations into it; #10,690 of 21,575 by trust here, #4,212 by citations
Large Language Models — 70 citations into it
Model Architectures — 60 citations into it
Evaluation & Benchmarks — 59 citations into it
Representation & Self-Supervised Learning — 44 citations into it
Generative Models — 33 citations into it; #1,312 of 1,956 by trust here, #1,355 by citations

Whom Hao Zhou trusts overall

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

Who trusts Hao Zhou overall

Papers from Hao Zhou's perspective

Ordered by how strongly the researchers Hao Zhou 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)
Attention is All you Need (Neural Information Processing Systems)
Long Short-Term Memory
Gradient-based learning applied to document recognition
ImageNet: A large-scale hierarchical image database
Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

Dynamically Fused Graph Network for Multi-hop Reasoning (2019) — 213 citations
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling (2018) — 211 citations
Commonsense Knowledge Aware Conversation Generation with Graph Attention (2018) — 523 citations
Augmenting End-to-End Dialogue Systems With Commonsense Knowledge (2018) — 203 citations
Variational Template Machine for Data-to-Text Generation (2020) — 45 citations
Towards Making the Most of BERT in Neural Machine Translation (2019) — 167 citations
Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory (2017) — 808 citations
Generating Sentences from Disentangled Syntactic and Semantic Spaces (2019) — 122 citations
BRITS: Bidirectional Recurrent Imputation for Time Series (2018) — 923 citations
Generating Fluent Adversarial Examples for Natural Languages (2019) — 158 citations
On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark (2021) — 117 citations
On the Sentence Embeddings from BERT for Semantic Textual Similarity (2020) — 254 citations
Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information (2020) — 134 citations
Chunk-Based Bi-Scale Decoder for Neural Machine Translation (2017) — 20 citations
Vocabulary Learning via Optimal Transport for Neural Machine Translation (2020) — 104 citations
CPM: A Large-scale Generative Chinese Pre-trained Language Model (2020) — 132 citations
Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation (2018) — 23 citations
CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation (2022) — 45 citations
EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training (2021) — 58 citations
A Neural Probabilistic Structured-Prediction Method for Transition-Based Natural Language Processing (2017) — 9 citations