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Reviewers in the wild
The CS expert database: 1,777,551 experts · 2,837,695 papers in CCF A–C and ICORE A*–C venues · 10 venue-derived domains · snapshot 2026-09-22.
Experts by research domain — the database's own venue-derived domains; a paper can belong to several; active = at least one paper since 2021
Artificial intelligence and machine learning
419,855 active · 726,626 total · 856,312 papers
NeurIPS · AAAI · ESWA · CVPR · ICML · EAAI
Graphics, computer vision, multimedia, augmented reality and games
220,290 active · 419,218 total · 473,177 papers
AAAI · ICASSP · MTA · CVPR · INTERSPEECH · ICCV
Applied, interdisciplinary, general and emerging computing
306,612 active · 637,688 total · 436,260 papers
TGARS · IGARSS · TITS · TII · CogSci · Bioinformatics
Systems, architecture and hardware
148,087 active · 345,638 total · 325,499 papers
IROS · ICRA · VTC · ISCAS · TJSC · IECON
Computer networks
105,468 active · 214,616 total · 249,845 papers
IOT · ICC · GLOBECOM · TWC · TCOM · TMC
Databases, data management, data science and information retrieval
134,049 active · 269,256 total · 249,104 papers
IEEE BigData · CIKM · SIGKDD · TKDE · AEI · SIGIR
Theory of computation
38,447 active · 105,648 total · 202,645 papers
TIT · TCS · DAM · SODA · STOC · ICALP
Human-computer interaction and ubiquitous computing
114,847 active · 268,055 total · 198,672 papers
CHI · SMC · TSMC · SIGCSE · PACMHCI · IJHCI
Software engineering, systems software and programming languages
76,605 active · 178,952 total · 173,661 papers
DATE · COMPSAC · CoDIT · PACM PL · TSC · JSS
Security and privacy
57,527 active · 109,981 total · 102,399 papers
TIFS · TDSC · USENIX Security · TrustCom · CCS · JISA
Experts by expertise
The expertise taxonomy: 90,661 topics extracted from 634,694 papers of 537,692 experts, organised under the ten CCF categories and 168 areas. Pick a category, then narrow down to a topic; every level lists its experts by weight.
Artificial intelligence
231,922 experts · 238,182 papers
33 areas · 23,066 topics
Theoretical computer science
84,688 experts · 103,442 papers
15 areas · 12,358 topics
Computer architecture, parallel and distributed computing, and storage systems
119,266 experts · 88,175 papers
18 areas · 10,819 topics
Computer graphics and multimedia
99,217 experts · 74,150 papers
13 areas · 7,821 topics
Computer networks
79,947 experts · 72,281 papers
18 areas · 9,664 topics
Databases, data mining, and information retrieval
83,822 experts · 68,869 papers
17 areas · 7,059 topics
Network and information security
67,706 experts · 53,290 papers
15 areas · 5,550 topics
Interdisciplinary, comprehensive, and emerging computing
111,858 experts · 46,353 papers
9 areas · 5,108 topics
Human-computer interaction and pervasive computing
77,670 experts · 43,820 papers
16 areas · 4,757 topics
Software engineering, system software, and programming languages
53,122 experts · 40,802 papers
14 areas · 4,459 topics
Artificial intelligence›Machine learning›Deep learning architectures and training
area
20,414 papers · 43,263 experts
Sub-topics
184 · with their number of papers; shaded topics divide further
transformer 2,036convolutional neural network 1,641attention mechanism 1,560recurrent neural network 1,006data augmentation 819mixture of experts 527neural network training 444regularization 435state space model 403spiking neural network 344autoencoder 328training dynamics 316sequence modeling 285loss function design 259deep generative model 258equivariant neural network 192scaling laws 182foundation model 174physics-informed neural network 157loss landscape 156positional encoding 153normalization 141encoder-decoder architecture 137weight initialization 123data-centric deep learning 108backpropagation 105activation function 103neural operator 92teacher-student framework 88training optimization 88neural network expressivity 83multi-scale feature fusion 82feature fusion 80neural collapse 80ReLU networks 72memory-augmented neural networks 70overparameterized neural network 68capsule network 67biologically plausible learning 65feedforward neural network 61neural differential equations 50training objective 50hypernetwork 48efficient deep learning 47feature aggregation 47siamese network 46multi-scale learning 44multi-scale representation 31operator learning 31feature interaction 30recursive neural network 29vision backbone 28automatic differentiation 27modular neural network 27neural network inference 26skip connections 23tabular deep learning 23hard example mining 22two-stream network 20biologically inspired neural network 19stochastic neural network 18complex-valued neural network 17frequency-domain learning 17gradient computation 17hybrid architecture 17backbone network 16tabular data learning 16weight averaging 16hierarchical neural network 15model-based deep learning 15reparameterization 15vision encoder 15modular network 14neural network estimator 14feedback loop 13deep supervision 12differentiable programming 12feature weighting 12random neural network 12attention supervision 11multimodal deep learning 11residual learning 11convolution 10dual-branch network 10hyperparameter transfer 9equilibrium models 8memory mechanism 8scientific machine learning 8tensor learning 8architecture learning 6deep learning systems 6neural network layer design 6multi-scale architecture 4hybrid neural network 3learned image compression 3symmetry-aware learning 3
Show 88 smaller topics (under 10 papers each)
neural network layers 9cross-entropy loss 8gated neural network 8attention control 7iterative learning 7multi-scale modeling 7neural computation 7tabular classification 7continuous-time neural networks 6convolution kernel 6dynamical systems approach 6equivariant models 6hybrid deep learning 6hybrid learning 6overfitting reduction 6weight decomposition 6analytic learning 5decision boundary 5downsampling 5entropy model 5event-based neural networks 5feature modulation 5internal covariate shift 5modality fusion 5neural decoder 5neural network hardware 5pre-training strategy 5spatial transformer network 5tensor operations 5adaptive network 4bidirectional learning 4binary decomposition 4biologically inspired learning 4click-through rate prediction 4diversity-aware sampling 4expert networks 4feature discrimination 4iterative training 4multi-stream network 4neural network growth 4neural network modularity 4neural network simulation 4neural network width 4null space projection 4output layer 4pretraining effects 4prototype completion 4rectifier network 4risk prediction 4sequence alignment 4structured neural networks 4tabular data modeling 4weight balancing 4weight generation 4weight perturbation 4analog neural network 3associative recall 3boolean neural network 3checkpoint selection 3compound scaling 3cross-entropy optimization 3deep encoder 3deep learning for sensing 3deep ranking 3discriminative fine-tuning 3encoder architecture 3filter selection 3frequency-domain modeling 3identity mapping 3implicit function theorem 3morphological neural networks 3multi-stage pre-training 3neural causal model 3neural network module design 3neural program synthesis 3normalization and regularization 3orthogonalization 3parameter decomposition 3reproducible benchmarking 3singular value analysis 3small-data regime 3soft label generation 3soft masking 3structural inductive bias 3token clustering 3triplet network 3tropical geometry 3untrained neural networks 3
Experts on Deep learning architectures and training
43,263 · by weight: papers on the topic counted with recency (1 for a paper about it, 0.3 as context, halved every five years), summed over the area's topics