activity
20232026
most citedFedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things

7 citations · 10 across the 16 of their papers we have counts for

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Showing 2026Show all

8 papers · 1 filter

cs.LG2026

How Linear Attention Remembers

Kichang Lee, JaeYeon Park, Songkuk Kim +1

Linear attention replaces the growing key--value (KV) cache of standard attention with a fixed-size recurrent state, substantially reducing memory growth with context length. This…

cs.LG2026

Metacognitive Selective Ensemble for Mobile Systems

Sungmin Lee, Kichang Lee, Joonhee Lee +3

Deep ensembles improve robustness in mobile sensing, but repeatedly executing many models over continuous sensor streams is costly. Selecting only a few members reduces this cost,…

cs.HC2026

When the Strike Zone Becomes Algorithmic: Umpire Judgment and Player Challenge Decisions under AI Review

Kichang Lee, Gyeongmin Han, Sungmin Lee +1

The Automated Ball-Strike challenge system that Major League Baseball adopted in 2026 offers a distinctive setting for studying human AI interaction in which umpires make every bal…

cs.LG2026

Pushing the (Decision) Boundaries: Dynamically Calibrating Differentially Private Noise to Explainability in Federated Learning

Michael Khavkin, Kichang Lee, Jaeho Jin +2

Federated Learning (FL) with Differential Privacy (DP) is increasingly adopted to preserve data confidentiality in distributed machine learning. However, DP noise distorts learned…

cs.IR2026

Unified Pitch Graphs for Diagnosing Pitching Strategy

Kichang Lee, JeongGil Ko

Pitching strategy in baseball is expressed through both physical execution and the ordered context in which pitches are used, yet common representations collapse pitches into discr…

cs.HC2026

Auditing Contextual Bias in Human Ball-Strike Calls Using KBO's Automated Umpiring Transition

Kichang Lee, JeongGil Ko

This paper uses the Korean Baseball Organization's adoption of the Automated Ball-Strike (ABS) system to audit long-standing claims about contextual bias in human ball-strike calls…

cs.LG2026

Temperature Scaling Attack Disrupting Model Confidence in Federated Learning

Kichang Lee, Jaeho Jin, JaeYeon Park +2

Predictive confidence serves as a foundational control signal in mission-critical systems, directly governing risk-aware logic such as escalation, abstention, and conservative fall…

cs.RO2026

IROS: A Dual-Process Architecture for Real-Time VLM-Based Indoor Navigation

Joonhee Lee, Hyunseung Shin, Jeonggil Ko

Indoor mobile robot navigation requires fast responsiveness and robust semantic understanding, yet existing methods struggle to provide both. Classical geometric approaches such as…