Demo Data from EDBT 2026 / reviewers in the wild / expert
Jinhyuk Yoon
dblp:46/2950
· DBLP profile ↗
3ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2Human-computer interaction and ubiquitous computing · 1
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.
| Computer architecture, parallel and distributed computing, and storage systems
2 papers |
Storage systems · 87% Electronic design automation · 13% | |
| Human-computer interaction and pervasive computing
1 paper |
Haptics and multimodal interaction · 77% Interaction techniques and input · 23% |
Topics — the 8 heaviest of 9, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Storage systems › flash and SSD › flash memory management
flash translation layer |
0.4 | 2 | 2018 | HIL: A Framework for Compositional FTL Development and Provably-Correct Crash Recovery · ACM Trans. Storage 2018 Hydra: A Block-Mapped Parallel Flash Memory Solid-State Disk Architecture · IEEE Trans. Computers 2010 |
Haptics and multimodal interaction › haptic feedback
vibrotactile feedback |
0.4 | 1 | 2020 | Augmenting Physical Buttons with Vibrotactile Feedback for Programmable Feels · UIST 2020 |
Storage systems
crash recovery |
0.3 | 1 | 2018 | HIL: A Framework for Compositional FTL Development and Provably-Correct Crash Recovery · ACM Trans. Storage 2018 |
Storage systems
storage reliability |
0.3 | 1 | 2018 | HIL: A Framework for Compositional FTL Development and Provably-Correct Crash Recovery · ACM Trans. Storage 2018 |
Storage systems
flash and SSD |
0.1 | 1 | 2010 | Hydra: A Block-Mapped Parallel Flash Memory Solid-State Disk Architecture · IEEE Trans. Computers 2010 |
Storage systems › flash and SSD
SSD architecture |
0.1 | 1 | 2010 | Hydra: A Block-Mapped Parallel Flash Memory Solid-State Disk Architecture · IEEE Trans. Computers 2010 |
Electronic design automation › hardware verification and test
formal verification |
0.1 | 1 | 2018 | HIL: A Framework for Compositional FTL Development and Provably-Correct Crash Recovery · ACM Trans. Storage 2018 |
Electronic design automation › hardware verification and test
hardware verification |
0.1 | 1 | 2018 | HIL: A Framework for Compositional FTL Development and Provably-Correct Crash Recovery · ACM Trans. Storage 2018 |
Methods — techniques the papers use, named apart from their topics
vibration actuators · 0.4perceptual space estimation · 0.4force actuators · 0.4shadow paging · 0.3redo-only replay · 0.3idempotent recovery · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Augmenting Physical Buttons with Vibrotactile Feedback for Programmable FeelsabstractPhysical buttons provide clear haptic feedback when pressed and released, but their responses are unvarying. Physical buttons can be powered by force actuators to produce unlimited click sensations, but the cost is substantial. An alternative can be augmenting physical buttons with simple and inexpensive vibration actuators. When pushed, an augmented button generates a vibration overlayed on the button's original kinesthetic response, under the general framework of haptic augmented reality. We explore the design space of augmented buttons while changing vibration frequency, amplitude, duration, and envelope. We then visualize the perceptual structure of augmented buttons by estimating a perceptual space for 7 physical buttons and 40 augmented buttons. Their sensations are also assessed against adjectives, and results are mapped into the perceptual space to identify meaningful perceptual dimensions. Our results contribute to understanding the benefits and limitations of programmable vibration-augmented physical buttons with emphasis on their feels. Chaeyong Park, Jinhyuk Yoon, Seungjae Oh, Seungmoon Choi |
UIST | 2 |
| 2018 | HIL: A Framework for Compositional FTL Development and Provably-Correct Crash RecoveryabstractWe present a framework called Hierarchically Interacting Logs (HIL) for constructing Flash Translation Layers (FTLs). The main goal of the HIL framework is to heal the Achilles heel —the crash recovery—of FTLs (hence, its name). Nonetheless, the framework itself is general enough to encompass not only block-mapped and page-mapped FTLs but also many of their variants, including hybrid ones, because of its compositional nature. Crash recovery within the HIL framework proceeds in two phases: structural recovery and functional recovery. During the structural recovery, residual effects due to program operations ongoing at the time of the crash are eliminated in an atomic manner using shadow paging. During the functional recovery, operations that would have been performed if there had been no crash are replayed in a redo-only fashion. Both phases operate in an idempotent manner, preventing repeated crashes during recovery from causing any additional problems. We demonstrate the practicality of the proposed HIL framework by implementing a prototype and showing that its performance during normal execution and also during crash recovery is at least as good as those of state-of-the-art SSDs. Jin-Yong Choi, Eyee Hyun Nam, Yoon Jae Seong, Jinhyuk Yoon, Sookwan Lee, Hongseok Kim, Jeongsu Park, Yeong-Jae Woo, Sheayun Lee, Sang Lyul Min |
ACM Trans. Storage | 4 |
| 2010 | Hydra: A Block-Mapped Parallel Flash Memory Solid-State Disk ArchitectureabstractFlash memory solid-state disks (SSDs) are replacing hard disk drives (HDDs) in mobile computing systems because of their lower power consumption, faster random access, and greater shock resistance. We describe Hydra, a high-performance flash memory SSD architecture that translates the parallelism inherent in multiple flash memory chips into improved performance, by means of both bus-level and chip-level interleaving. Hydra has a prioritized structure of memory controllers, consisting of a single high-priority foreground unit, to deal with read requests, and multiple background units, all capable of autonomous execution of sequences of high-level flash memory operations. Hydra also employs an aggressive write buffering mechanism based on block mapping to ensure that multiple flash memory chips are used effectively, and also to expedite the processing of write requests. Performance evaluation of an FPGA implementation of the Hydra SSD architecture shows that its performance is more than 80 percent better than the best of the comparable HDDs and SSDs that we considered. Yoon Jae Seong, Eyee Hyun Nam, Jinhyuk Yoon, Hongseok Kim, Jin-Yong Choi, Sookwan Lee, Young Hyun Bae, Jaejin Lee, Yookun Cho, Sang Lyul Min |
IEEE Trans. Computers | 3 |