paper.dinq.meAI 与前沿科学顶会 · 学术新星雷达
登录 DINQ
返回新星榜
YZ

Yuqi Zhang

FAST 2026SIGIR 2026可解释性评测与基准数据与预训练推理效率与系统
新星分新星
69
一作贡献30
核心/参与16
方向广度13
合作网络6
1 一作 · 2 篇 · FAST 2026 / SIGIR 2026

获取完整研究档案

首次获取该候选人的完整档案及 StartLux 评估共 20 积分;每位用户单独解锁,之后查看免费。主动刷新 20 积分。

联系方式

实时查找电子邮箱,费用不超过20积分;未找到邮箱不扣费。

2026 顶会论文

2
作者位次 #2/11FAST 2026Oral· Storage & File Systems

FailureMiner: A Joint Key Decision Mining Scheme for Practical SSD Failure Prediction and Analysis

Shuyang Wang · Yuqi Zhang · Haonan Luo · Kangkang Liu · Gil Kim · JongSung Na · Claude Kim · Geunrok Oh · Kyle Choi · Ni Xue · Xing He

摘要

As SSDs become increasingly popular in enterprise data centers, SSD failures have become a key concern for storage system reliability. In this paper, we propose FailureMiner, a joint key decision mining scheme based on SSD monitoring attributes to accurately and clearly identify SSD failure patte...

可解释性评测与基准数据与预训练OpenReview
一作SIGIR 2026Poster· Information Retrieval (Industry)

M²GR: Generative User Interest Modeling via Multi-Granularity Multi-Objective CoT for Industrial Recommendation

Yuqi Zhang · Jingwen Shi · Wen Shi · Jia Li · Zhen Chen · Jing Zhou · Dongyue Wang · Xiwei Zhao · Sulong Xu

摘要

User interest modeling plays a vital role in industrial recommendation systems (RSs). Existing generative recommendation (GR) methods rely on single-step direct inference, which falls short of deeply modeling complex and dynamically evolving user interest. Recent chain-of-thought (CoT)-based GR m...

推理效率与系统检索与知识OpenReview

常见合作者