Demo Data from EDBT 2026 / reviewers in the wild / expert
Dong Heon Cho
dblp:272/5467
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2023
0000-0001-8810-2252ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
3D vision · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational science and engineering · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › 3D vision
implicit neural representation |
0.7 | 1 | 2023 | CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations · ICLR 2023 |
Computational science and engineering › numerical analysis
model reduction |
0.7 | 1 | 2023 | CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations · ICLR 2023 |
Methods — techniques the papers use, named apart from their topics
partial differential equations · 1.3implicit neural representation · 1.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations
Peter Yichen Chen, Jinxu Xiang, Dong Heon Cho, G. A. Pershing, Henrique Teles Maia, Maurizio M. Chiaramonte, Kevin Carlberg, Eitan Grinspun |
ICLR | 3 |
| 2023 | "I Want to Figure Things Out": Supporting Exploration in Navigation for People with Visual ImpairmentsabstractNavigation assistance systems (NASs) aim to help visually impaired people (VIPs) navigate unfamiliar environments. Most of today's NASs support VIPs via turn-by-turn navigation, but a growing body of work highlights the importance of exploration as well. It is unclear, however, how NASs should be designed to help VIPs explore unfamiliar environments. In this paper, we perform a qualitative study to understand VIPs' information needs and challenges with respect to exploring unfamiliar environments to inform the design of NASs that support exploration. Our findings reveal the types of spatial information that VIPs need as well as factors that affect VIPs' information preferences. We also discover specific challenges that VIPs face that future NASs can address, such as orientation and mobility education and collaborating effectively with others. We present design implications for NASs that support exploration, and we identify specific research opportunities and discuss open socio-technical challenges for making such NASs possible. We conclude by reflecting on our study procedure to inform future approaches in research on ethical considerations that may be adopted while interacting with the broader VIP community. Gaurav Jain, Yuanyang Teng, Dong Heon Cho, Yunhao Xing, Maryam Aziz, Brian A. Smith 0001 |
Proc. ACM Hum. Comput. Interact. | 3 |