Wei Cheng

Artificial Intelligence · International Conference on Learning Representations · 2009–2023

A researcher in the Science corpus: 19 papers; trusts 91 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Artificial Intelligence — 216 citations into it; #28,739 of 35,345 by trust here, #7,346 by citations
Computer Vision and Pattern Recognition — 75 citations into it
Graph Learning — 55 citations into it
Molecular Biology — 54 citations into it
Computer Networks and Communications — 41 citations into it; #4,643 of 9,886 by trust here, #3,155 by citations
Statistical and Nonlinear Physics — 41 citations into it
Natural Language Processing — 38 citations into it
Representation & Self-Supervised Learning — 32 citations into it

Whom Wei Cheng trusts overall

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

Who trusts Wei Cheng overall

Papers from Wei Cheng's perspective

Ordered by how strongly the researchers Wei Cheng 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
Learning Multiple Layers of Features from Tiny Images
Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction (2017) — 1,569 citations
Parameterized Explainer for Graph Neural Network (2020) — 824 citations
A contribution of novel CNVs to schizophrenia from a genome-wide study of 41,321 subjects: CNV Analysis Group and the Schizophrenia Working Group of the Psychiatric Genomics Consortium (2016) — 1,284 citations
Fuzzy-Logic-Based Clustering Approach for Wireless Sensor Networks Using Energy Predication (2012) — 464 citations
Baichuan 2: Open Large-scale Language Models (2023) — 1,014 citations
You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis (2020) — 312 citations
CMIP6 Models Predict Significant 21st Century Decline of the Atlantic Meridional Overturning Circulation (2020) — 331 citations
Learning to Drop: Robust Graph Neural Network via Topological Denoising (2020) — 323 citations
Enhanced secondary pollution offset reduction of primary emissions during COVID-19 lockdown in China (2020) — 740 citations
Robust Graph Representation Learning via Neural Sparsification (2020) — 338 citations
Versatile Polydopamine Platforms: Synthesis and Promising Applications for Surface Modification and Advanced Nanomedicine. (2019) — 921 citations
NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks (2018) — 406 citations
Genomic dissection of bipolar disorder and schizophrenia including 28 subphenotypes (2018) — 667 citations
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data (2018) — 934 citations
Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection (2018) — 2,127 citations
A review of using Augmented Reality in Education from 2011 to 2016 (2017) — 430 citations
Biological Insights From 108 Schizophrenia-Associated Genetic Loci (2014) — 7,422 citations
One-step synthesis of superparamagnetic monodisperse porous Fe3O4 hollow and core-shell spheres (2010) — 340 citations
Effects of konjac glucomannan on physicochemical properties of myofibrillar protein and surimi gels from grass carp (Ctenopharyngodon idella) (2009) — 155 citations