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Yifan Zhang

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.LG2
ORCID 0009-0003-4775-8927
same name
  • Yifan Zhang — 21 papers, h 24
  • Yifan Zhang — 12 papers
  • Yifan Zhang — 10 papers, h 38
  • Yifan Zhang — 7 papers
  • Yifan Zhang — 7 papers
  • Yifan Zhang — 6 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedFree Lunch for Domain Adversarial Training: Environment Label Smoothing

24 citations · 24 across the 4 of their papers we have counts for

collaborators

4 papers

cs.AI2024

Multi-Dimensional Insights: Benchmarking Real-World Personalization in Large Multimodal Models

YiFan Zhang, Shanglin Lei, Runqi Qiao +10

The rapidly developing field of large multimodal models (LMMs) has led to the emergence of diverse models with remarkable capabilities. However, existing benchmarks fail to compreh…

cs.LG2024

Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt

YiFan Zhang, Weiqi Chen, Zhaoyang Zhu +7

Online updating of time series forecasting models aims to tackle the challenge of concept drifting by adjusting forecasting models based on streaming data. While numerous algorithm…

cs.AI2023

BClean: A Bayesian Data Cleaning System

Jianbin Qin, Sifan Huang, Yaoshu Wang +6

There is a considerable body of work on data cleaning which employs various principles to rectify erroneous data and transform a dirty dataset into a cleaner one. One of prevalent…

cs.LG2023★ 24 cited

Free Lunch for Domain Adversarial Training: Environment Label Smoothing

YiFan Zhang, Xue Wang, Jian Liang +4

A fundamental challenge for machine learning models is how to generalize learned models for out-of-distribution (OOD) data. Among various approaches, exploiting invariant features…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.