activity
20202026
most citedFederated Learning on Non-IID Data Silos: An Experimental Study

81 citations · 110 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2026

From Prompts to Trees: Effective LLM-Guided Tree Generation for Few-Shot Tabular Classification

Yue Qiu, Zekang Du, Yiqun Diao +2

While Large Language Models (LLMs) possess rich world knowledge and impressive generalization capabilities, their direct application to tabular data classification is hindered by h…

cs.LG2024★ 2 cited

Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data

Zhaomin Wu, Junyi Hou, Yiqun Diao +1

Federated Learning (FL) is an evolving paradigm that enables multiple parties to collaboratively train models without sharing raw data. Among its variants, Vertical Federated Learn…

cs.LG2023★ 1 cited

Exploiting Label Skews in Federated Learning with Model Concatenation

Yiqun Diao, Qinbin Li, Bingsheng He

Federated Learning (FL) has emerged as a promising solution to perform deep learning on different data owners without exchanging raw data. However, non-IID data has been a key chal…

cs.LG2023

OEBench: Investigating Open Environment Challenges in Real-World Relational Data Streams

Yiqun Diao, Yutong Yang, Qinbin Li +2

How to get insights from relational data streams in a timely manner is a hot research topic. Data streams can present unique challenges, such as distribution drifts, outliers, emer…

q-bio.QM2021

Deep Predictive Learning of Carotid Stenosis Severity

Yiqun Diao, Oliver Zhao, Priya Kothapalli +2

Carotid artery stenosis is the narrowing of carotid arteries, which supplies blood to the neck and head. In this work, we train a model to predict the severity of the stenosis bloc…

cs.LG2021★ 81 cited

Federated Learning on Non-IID Data Silos: An Experimental Study

Qinbin Li, Yiqun Diao, Quan Chen +1

Due to the increasing privacy concerns and data regulations, training data have been increasingly fragmented, forming distributed databases of multiple "data silos" (e.g., within d…

cs.CV2020★ 26 cited

BiHand: Recovering Hand Mesh with Multi-stage Bisected Hourglass Networks

Lixin Yang, Jiasen Li, Wenqiang Xu +2

3D hand estimation has been a long-standing research topic in computer vision. A recent trend aims not only to estimate the 3D hand joint locations but also to recover the mesh mod…