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Menampilkan 1–3 dari 3 artikel
Profit-Aware Spot GPU Admission Control with Cost-Sensitive Loss and Evidence-Grounded Policy Memos for AI Workload Supply-Demand Matching
Siming Zhao
; Ren, Yuxuan
; Xiaohan Chang
Journal of Technology Informatics and Engineering
Vol 5
, No 2
(2026)
AI clusters increasingly operate with heterogeneous GPU resources where production workloads and opportunistic spot jobs compete for limited accelerator capacity. This study presents a trace-driven admission-control framework using the Alibaba cluster-trace-v2026-spot-gpu dataset, consisting of 466,867 job records and 4,278 GPU-node records. The experiment evaluates GPU demand forecasting, profit-aware spot admission control, and evidence-grounded operational policy generation using chronologica...
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LLM-Style Explainable E-Commerce Recommendation Cards: A UI/UX Design Framework for Trust-Calibrated Product Recommendation
Boning Zhang
; Ren, Yuxuan
; Jocelyn Zou
International Journal of Graphic Design
Vol 3
, No 2
(2025)
This paper presents and empirically evaluates a UI/UX design framework for explainable e-commerce recommendation cards. The framework addresses a practical visual-communication problem: product lists can be useful but opaque, while explanation-heavy cards can create unwarranted confidence when the system has weak evidence. The revised study therefore uses the term LLM-style for the language condition and treats it as a grounded card-generation and confidence-display policy rather than as evidenc...
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Layout-Aware Progressive PDF Rendering: AI Prioritization of PDF Slices to Reduce Time-to-Functional-First-Frame on FUNSD
Wang, Heyu
; Ren, Yuxuan
; Chang, Xiaohan
Journal of Technology Informatics and Engineering
Vol 4
, No 2
(2025)
Progressive PDF rendering is attractive because users rarely need every visible pixel at once; they need the semantically useful parts of the current viewport early enough for reading and interaction. This paper studies whether layout-aware AI can prioritize PDF slices more effectively than geometric or density-based heuristics. We reconstruct vector PDFs from official FUNSD form annotations and evaluate a tile scheduler that predicts tile utility from inexpensive layout and preview features bef...
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