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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›Trustworthy machine learning
area
22,834 papers · 46,731 experts
Sub-topics
127 · with their number of papers; shaded topics divide further
robustness 4,928interpretability 4,639fairness 2,551uncertainty estimation 1,674out-of-distribution generalization 493machine unlearning 297calibration 270debiasing 165hallucination 120privacy 112deepfake detection 109uncertainty modeling 78novelty detection 63language model interpretability 61robustness evaluation 60uncertainty and calibration 56safety evaluation 54dataset bias 49privacy and data protection 44AI safety 43fairness and bias 42content moderation 36adversarial machine learning 32counterfactual data augmentation 29graph adversarial attack 29verification 28accuracy estimation 26open-world recognition 25performative prediction 25strategic behavior 22distributional shift 20neural network interpretability 20annotator disagreement 19invariance 18toxicity reduction 18ethical AI 17uncertainty and robustness 17crowdsourced annotation 16generative model safety 13confidence-weighted learning 12Data-centric AI 12learning from noisy data 12model validation 12prediction-powered inference 12model auditing 10risk control 10learning with incomplete data 9AI-generated content detection 7model monitoring 7model security 7neural network security 7large language model trustworthiness 6model multiplicity 6multimodal trustworthiness 6AI governance 5causal machine learning 4model reliability 4
Show 70 smaller topics (under 10 papers each)
confirmation bias 8feature denoising 7generative AI evaluation 7evaluation stability 6model provenance 6out-of-distribution evaluation 6perturbation analysis 6shape constraints 6uncertainty and reliability 6cognitive evaluation 5data governance 5data leakage 5fairness and safety 5malicious experts 5monotonicity 5noise filtering 5pairwise classification 5rationale-based training 5synthetic data detection 5visualization 5activation probing 4attention pattern analysis 4balanced multimodal learning 4benchmark validity 4brier score 4data provenance 4frequency-domain analysis 4human preference modeling 4human-centric evaluation 4image perturbation 4information-theoretic probing 4input perturbation 4out-of-distribution generation 4spurious correlation detection 4statistical depth 4thresholding 4uncertainty and abstention 4certifiable training 3certified lower bound 3consistency optimization 3discriminative regularization 3dynamic benchmark 3emotion elicitation 3fairness and alignment 3feature purification 3feature separation 3generalization prediction 3geometric features 3guard models 3introspective learning 3inverse consistency 3knowledge boundary detection 3learning algorithm comparison 3local feature selection 3metacognition 3modality conflict 3model correction 3model editing evaluation 3model ranking 3mutual information criterion 3outlier mitigation 3safety-critical systems 3saliency map generation 3self-attention analysis 3slice discovery 3societal impact of AI 3threat model 3training reproducibility 3uncertainty and out-of-distribution detection 3uncertainty compensation 3
Experts on Trustworthy machine learning
46,731 · 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