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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 who meet the recruitment bar

The bar is a setting of the venue, one per role; it is edited on its own page.
Reviewer bar: SIGMOD, VLDB, ICDE, PODS, SIGKDD · junior 2+ first-author in 5y or senior 4+ papers in 5y · change the bar
List the experts who meet it

Experts by research domain — the database's own venue-derived domains; a paper can belong to several; active = at least one paper since 2021

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›Machine learning›Reinforcement learning›value-based reinforcement learning›optimistic q-learning topic 3 papers · 8 experts · broader topic added to organise its sub-topics
Experts on optimistic q-learning 8 · by weight: papers on the topic counted with recency (1 for a paper about it, 0.3 as context, halved every five years)
ExpertWeight Papers on topicLast on topic All papersLastORCID
Shipra Agrawal 0001
dblp:a/ShipraAgrawal
0.9 12025 34 · 8 since 2021 2025 verified
Priyank Agrawal
dblp:230/8023
0.9 12025 5 · 4 since 2021 2025 corroborated
Yujia Jin
dblp:98/1295
0.7 12023 30 · 20 since 2021 2025 conflict
Alekh Agarwal
dblp:24/4383
0.7 12023 92 · 30 since 2021 2025 corroborated
Tong Zhang 0001
dblp:07/4227-1
0.7 12023 331 · 128 since 2021 2026 conflict
Benjamin Van Roy
dblp:41/4314
0.6 12022 72 · 18 since 2021 2026 corroborated
Zhengyuan Zhou
dblp:125/5270
0.6 12022 61 · 35 since 2021 2025 conflict
Shi Dong 0003
dblp:04/8548-3
0.6 12022 3 · 1 since 2021 2022 none
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