Hong Kong University of Science and Technology
Circuit mix
Where Hong Kong University of Science and Technology shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Research71%5 events
- Enterprise, analyst & AI expos14%1 event
- Python & R data science14%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
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
Hong Kong University of Science and Technology has never sponsored a tracked conference, so this follows where its speakers appear instead.
FlatHad speakers at 1 conference in 2026, flat from 1 in 2024.
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.
New conferences spoken at 1
First speaker in 2025 or later.
- IEEE ICDE (International Conference on Data Engineering)first spoke 2025, 1 speaker
No longer seen 4
No speakers since 2024 or earlier, though the conference published speaker lists after that.
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)last seen 2021; the conference ran again with speaker lists in 2022–26
- ACML (Asian Conference on Machine Learning)last seen 2021; the conference ran again with speaker lists in 2022–25
- PyDatalast seen 2019; the conference ran again with speaker lists in 2020–26
- World AI Cannes Festival (WAICF)last seen 2024; the conference ran again with speaker lists in 2025–26
Lookalikes
Companies with the most similar conference footprint: they sponsor and speak at the same conferences. Bars are cosine similarity, from 0 (nothing shared) to 1 (identical).
- UC Santa Cruz0.81
- Booking.com0.75
- JD.com0.71
- Nubank0.70
- MDPI0.70
- eBay0.69
- Etsy0.69
- University of Southern California0.69
8 Cluster: PyData · posit::conf circuit →
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.
Neighborhood: companies with nearby conference footprints
Hong Kong University of Science and Technology (ringed) and the 30 companies closest to it on the company map. Close together means they sponsor and speak at many of the same conferences. Distances are only meaningful locally; the axes have no meaning. Dot size: conferences present at. Color: cluster.
Sponsorships 0
No sponsorships recorded for Hong Kong University of Science and Technology.
Speakers 9
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Bing Tong | ICDE 2026 (42nd IEEE International Conference on Data Engineering) | industry paper | GalaxyRAG: Graph Retrieval-Augmented Generation for Enterprise Knowledge Systems | — |
| Jihang Li | ICDE 2026 (42nd IEEE International Conference on Data Engineering) | industry paper | Taxon: Hierarchical Tax Code Prediction with Semantically Aligned LLM Expert Guidance | — |
| Lei Chen | ICDE 2026 (42nd IEEE International Conference on Data Engineering) | keynote | Data-Centric AI: Powering the Machine Learning Lifecycle from Preparation to Reliable Inference | Slides |
| Bing Tong | ICDE 2025 (41st IEEE International Conference on Data Engineering) | industry paper | GalaxyView: Property Graph Transformation for Materialized View Generation | — |
| Pascale Fung | World AI Cannes Festival 2024 | featured | — | — |
| Tong Zhang | ACML 2021 | keynote | Understanding Overparameterized Machine Learning Models: Optimization, Sampling, Generalization, and Privacy | — |
| Xiaojuan Ma | KDD 2021 (virtual, Singapore) | ADS invited talk | Data-Driven Approach to Creativity in Design with Human-Engaged AI | — |
| James T. Kwok | ACML 2019 | keynote | Compressing deep networks | — |
| Cheuk Ting Ho | PyData London 2019 | talk | I am telling you 3 things about Chatbot (so you don't have to learn it the hard way) | — |