Demo Data from EDBT 2026 / recruitment
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
Databases, data mining, and information retrieval›Machine learning and data management
area
2,831 papers · 8,426 experts
Sub-topics
85 · with their number of papers; shaded topics divide further
data management for machine learning 175active learning 153learned database components 104matrix completion 99online learning 84metric learning 81data annotation 74kernel methods 61weak supervision 52scalable machine learning 37automated machine learning 36data selection 36in-database machine learning 31data valuation 25transfer learning 23inference serving 19structured prediction 18machine learning pipeline 14model evaluation 14feature transformation 13label distribution learning 13continual learning 12low-rank tensor decomposition 12optimal transport 12sparse representation 12uncertainty quantification 12tabular data learning 11distribution shift 10machine learning for systems 10tensor learning 10table representation learning 9machine learning lifecycle management 8machine learning systems 8multimodal learning 8matrix recovery 7privacy-preserving machine learning 7scientific machine learning 7reinforcement learning 6statistical learning 5training data quality 5AI for data management 4deep learning 4optimization for machine learning 4training data management 4human-in-the-loop 3relational machine learning 3
Show 39 smaller topics (under 10 papers each)
concept learning 9time series learning 9inference optimization 8predictive maintenance 8data collection 7data-driven decision-making 7bayesian optimization 6embedding tables 6learning for optimization 6adaptive learning 5resampling 5sparse learning 5synthetic data 5bregman divergence 4data-centric machine learning 4explanation-based learning 4feature pruning 4label scarcity 4learning theory 4long-tailed classification 4machine learning for social good 4multimodal data 4open-world learning 4overfitting control 4task decomposition 4constructive induction 3fairness in data management 3feature space evolution 3importance sampling 3learned data representation 3linear algebra over relational data 3low-rank model 3machine learning for security 3multimodal dataset 3system identification 3tabular data analysis 3tabular data benchmark 3training data attribution 3training data reduction 3
Experts on Machine learning and data management
8,426 · 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