Awesome Time Series
Papers
Topics
Trending
Leaderboards
Authors
Datasets
Learn
Ask AI
Map
Tools
Packs
News
Videos
All sections
Browse
Papers
The full index, filterable and sortable.
Topics
The same papers grouped by subject tag.
Trending
What moved this week, and by how much.
Authors
Who publishes here, and who they publish with.
Map
The collection laid out by embedding similarity.
Compare
Leaderboards
Benchmark tables, with the paper behind each number.
Datasets
The datasets these papers train and evaluate on.
Tools
Code and libraries released alongside the papers.
Read
Learn
Ordered routes from background reading to current work.
Ask AI
Ask a question and get answers cited to these papers.
Videos
The most-watched talks and lectures in this field.
Packs
Short curated sets built around one question.
Follow
News
Press and coverage tied back to the papers.
Blogs
Author and lab write-ups of their own work.
Newsletter
Email digest of what changed, on a schedule.
Research Radar
Paste an abstract, get matches across every collection.
Yours
Saved
Papers you bookmarked in this browser.
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
Ask AI
Zekun Cai — most-cited papers & profile · Time Series
← authors
·
overview
Zekun Cai
6
papers ·
16
citations ·
12
h-index
The University of Tokyo
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation
2023 · 16 citations
Continuous Domain Generalization
2025
VLUC: An Empirical Benchmark for Video-Like Urban Computing on Citywide Crowd and Traffic Prediction
2019
DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction
2021
ST-ExpertNet: A Deep Expert Framework for Traffic Prediction
2022
Continuous Temporal Domain Generalization
2024
Top co-authors
Renhe Jiang
· 5
Xuan Song
· 4
Ryosuke Shibasaki
· 3
Zhaonan Wang
· 3
Guangji Bai
· 2
Liang Zhao
· 2
Zipei Fan
· 2
and Xuan Song
· 1
Chuang Yang
· 1
Diansheng Guo
· 1
Du Yin
· 1
Hangchen Liu
· 1
Topics
cs.AI
cs.LG
Uncategorized
stat.ML