Xiaolong Wang

Artificial Intelligence · Advances in Materials · 2011–2023

A researcher in the Science corpus: 19 papers; trusts 433 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 186 citations into it; #8,834 of 35,345 by trust here, #7,010 by citations
• Molecular Biology — 130 citations into it; #10,194 of 17,773 by trust here, #8,791 by citations
• Natural Language Processing — 130 citations into it; #2,035 of 5,688 by trust here, #2,333 by citations
• Computer Vision and Pattern Recognition — 86 citations into it
• Materials Chemistry — 47 citations into it
• Computational Biology & Bioinformatics — 33 citations into it
• Representation & Self-Supervised Learning — 32 citations into it
• Model Architectures — 31 citations into it

Whom Xiaolong Wang trusts overall

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

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

Who trusts Xiaolong Wang overall

1. Anastasia Giahanou
2. Marloes Geboers
3. Qing Li
4. Qian Chen
5. Nikolaos Nodarakis
6. Jianfeng Si
7. Shumin Li
8. Fabio A. Crestani
9. Junjie Chen
10. Chad Thomas Van De Wiele

Papers from Xiaolong Wang's perspective

Ordered by how strongly the researchers Xiaolong Wang 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. 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Learning Natural Language Inference using Bidirectional LSTM model and Inner-Attention (2016) — 285 citations
• Neural Response Generation via GAN with an Approximate Embedding Layer (2017) — 86 citations
• Joint Hand Motion and Interaction Hotspots Prediction from Egocentric Videos (2022) — 144 citations
• Predicting Polarities of Tweets by Composing Word Embeddings with Long Short-Term Memory (2015) — 273 citations
• LSDSCC: a Large Scale Domain-Specific Conversational Corpus for Response Generation with Diversity Oriented Evaluation Metrics (2018) — 14 citations
• Effects of Semantic Features on Machine Learning-Based Drug Name Recognition Systems: Word Embeddings vs. Manually Constructed Dictionaries (2015) — 59 citations
• A comprehensive review and comparison of existing computational methods for intrinsically disordered protein and region prediction (2019) — 144 citations
• Pse-in-One: a web server for generating various modes of pseudo components of DNA, RNA, and protein sequences (2015) — 692 citations
• A comprehensive review and comparison of different computational methods for protein remote homology detection (2018) — 140 citations
• A novel text mining approach to financial time series forecasting (2012) — 127 citations
• Evaluating Word Representation Features in Biomedical Named Entity Recognition Tasks (2014) — 133 citations
• Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf (2023) — 303 citations
• Bacterial exposure to ZnO nanoparticles facilitates horizontal transfer of antibiotic resistance genes (2018) — 110 citations
• Modeling Mention, Context and Entity with Neural Networks for Entity Disambiguation (2015) — 196 citations
• Molecularly Engineered Dual‐Crosslinked Hydrogel with Ultrahigh Mechanical Strength, Toughness, and Good Self‐Recovery (2015) — 807 citations
• ICRC-HIT: A Deep Learning based Comment Sequence Labeling System for Answer Selection Challenge (2015) — 23 citations
• PAL: A Chatterbot System for Answering Domain-specific Questions (2013) — 13 citations
• Topic sentiment analysis in twitter: a graph-based hashtag sentiment classification approach (2011) — 481 citations
• Electrochemical Impedance Analysis of a Hierarchical CuO Electrode Composed of Self-Assembled Nanoplates (2011) — 142 citations