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Yuan Fang

4 papers hereh-index 232 citations5 works total

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

author position
  • middle author2
  • last author2

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

fields
  • cs.AI1
  • cs.CL1
  • cs.IR1
  • cs.LG1
same name
  • Yuan Fang — 20 papers, h 5
  • Yuan Fang — 16 papers, h 33
  • Yuan Fang — 16 papers, h 11
  • Yuan Fang — 16 papers, h 9
  • Yuan Fang — 12 papers, h 12
  • Yuan Fang — 11 papers, h 4

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

activity
20232025
most citedTemporal and Heterogeneous Graph Neural Network for Remaining Useful Life Prediction

2 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2025

Unified Molecule Pre-training with Flexible 2D and 3D Modalities: Single and Paired Modality Integration

Tengwei Song, Min Wu, Yuan Fang

Molecular representation learning plays a crucial role in advancing applications such as drug discovery and material design. Existing work leverages 2D and 3D modalities of molecul…

cs.AI2024★ 2 cited

Temporal and Heterogeneous Graph Neural Network for Remaining Useful Life Prediction

Zhihao Wen, Yuan Fang, Pengcheng Wei +3

Predicting Remaining Useful Life (RUL) plays a crucial role in the prognostics and health management of industrial systems that involve a variety of interrelated sensors. Given a c…

cs.CL2024

SIBO: A Simple Booster for Parameter-Efficient Fine-Tuning

Zhihao Wen, Jie Zhang, Yuan Fang

Fine-tuning all parameters of large language models (LLMs) necessitates substantial computational power and extended time. Latest advancements in parameter-efficient fine-tuning (P…

cs.IR2023

Estimating Propensity for Causality-based Recommendation without Exposure Data

Zhongzhou Liu, Yuan Fang, Min Wu

Causality-based recommendation systems focus on the causal effects of user-item interactions resulting from item exposure (i.e., which items are recommended or exposed to the user)…

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