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VLDB 2026 Research / 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 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›markov decision process›finite markov decision processes›tabular markov decision process topic 3 papers · 10 experts · broader topic added to organise its sub-topics
Experts on tabular markov decision process 10 · 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
Xiangyang Ji
dblp:53/15
0.6 12022 291 · 183 since 2021 2026 conflict
Simon S. Du
dblp:176/5602
0.6 12022 127 · 88 since 2021 2025 verified
Liwei Wang 0001
dblp:47/1798-1
0.2 12024 151 · 66 since 2021 2026 conflict
Yecheng Xue
dblp:340/7132
0.2 12024 3 · 3 since 2021 2026 unresolved
Jiachen Hu
dblp:239/5040
0.2 12024 12 · 9 since 2021 2025 conflict
Tongyang Li
dblp:142/1312
0.2 12024 34 · 24 since 2021 2026 conflict
Han Zhong 0001
dblp:137/8096-1
0.2 12024 26 · 26 since 2021 2025 none
Jinglin Chen
dblp:89/5737
0.1 12021 11 · 7 since 2021 2025 none
Priyank Agrawal
dblp:230/8023
0.1 12021 5 · 4 since 2021 2025 corroborated
Nan Jiang 0008
dblp:06/4489-8
0.1 12021 59 · 37 since 2021 2025 conflict
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