NCTU
Circuit mix
Where NCTU shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Research100%1 event
Presence by conference and year
Each cell is one conference in one year. Fill shows the company sponsored, shaded by its best tier that year; a dot means it had speakers there. Hover for details; click to open the event.
- Title
- Platinum
- Gold
- Silver
- Bronze
- Other / unlabeled tier
- Had speakers
| Conference | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | 2027 | 2028 |
|---|---|---|---|---|---|---|---|---|---|---|
| IEEE ICDE (International Conference on Data Engineering) |
Activity by year
Three measures on one year axis; each panel has its own scale. 2027, 2028 is still mostly ahead, so its bars are faded and incomplete.
Conferences present at
Distinct conferences each year, split by whether the company sponsored or only had speakers there.
- Sponsored
- Speakers only
Distinct speakers
People from this company on a program that year, each counted once.
Where they've grown or pulled back
NCTU has never sponsored a tracked conference, so this follows where its speakers appear instead.
DownNothing recorded in 2026; had speakers at 1 conference in 2019.
Counted per conference. 2026 is the latest year whose conferences have mostly happened. A conference counts as no longer seen only when later events published speaker lists.
No longer seen 1
No speakers since 2024 or earlier, though the conference published speaker lists after that.
- IEEE ICDE (International Conference on Data Engineering)last seen 2019; the conference ran again with speaker lists in 2020–26
Not on the company map: lookalikes are computed only for companies present at four or more conferences.
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 0 this company sponsored).
No co-sponsors: this company has no recorded sponsorships, or sponsored alone.
Sponsorships 0
No sponsorships recorded for NCTU.
Speakers 1
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Cheng-Han Yeh | ICDE 2019 (35th IEEE International Conference on Data Engineering) | industry paper | Interpretable Multi-Task Learning for Product Quality Prediction with Attention Mechanism | — |