SL
Sang Su Lee
cs.LGAdaptive schedulingArtificial intelligenceCognitive sensorcs.AIcs.SEEnergy efficiencyIoTLLMOptimized sensing
On Valency
published · living versionsW_nb52r2fr·v1 · currentpublished
Evaluating Enterprise Analytics Agents: An End-to-End, Trace-Backed Methodology
with Teja Venkat Kolli, Xueying Yan, Jessie Chen, Chi Cheng +3
1 version
Preprints & journals
5 papers in the corpus · 2025–2026Autoresearch for Marketplace Catalogs: From Legacy Forms to AI-Native Matching2609.00274v1 · Kartik Ravisankar, Hojat Abdolanezhad, Daniel Capo et al.2026 · 0 citationsarXiv
Evaluating Enterprise Analytics Agents: An End-to-End, Trace-Backed Methodology2609.09182v1 · Teja Venkat Kolli, Sang Su Lee, Xueying Yan et al.2026 · 0 citationsarXivon Valency
When Offline Evaluation Misleads: A Diagnostic Protocol for Reward and Policy Selection in Delayed-Feedback Contextual Bandits2608.11560v1 · Sang Su Lee, Vineeth Loganathan, Shishir Dash et al.2026 · 0 citationsarXiv
LLM-enabled adaptive scheduling in IoT sensing for optimized network performance.42014406 · Khan, Muhammad Nawaz, Lee, Sokjoon, Lee, Sang Su et al.2026 · 1 citationScientific reports. 2026;16(1)
Dynamic Synthetic Controls vs. Panel-Aware Double Machine Learning for Geo-Level Marketing Impact Estimation2508.20335v1 · Sang Su Lee, Vineeth Loganathan, Vijay Raghavan2025 · 0 citationsarXiv
Career total: 32 works. 5 are in this corpus.
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