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Haifeng Chen

10 papers hereh-index 594 citations9 works total

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

author position
  • middle author8
  • last author1

Across the 9 of 10 papers where every author was matched, so the position is known.

fields
  • cs.LG7
  • cs.AI2
  • cs.RO1
same name
  • Haifeng Chen — 42 papers, h 33
  • Haifeng Chen — 27 papers, h 13
  • Haifeng Chen — 18 papers, h 10
  • Haifeng Chen — 12 papers, h 6
  • Haifeng Chen — 5 papers, h 3
  • Haifeng Chen — 5 papers, h 3

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
20242026
most citedLEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis

4 citations · 5 across the 9 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.AI2024★ 4 cited

LEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis

Lecheng Zheng, Zhengzhang Chen, Dongjie Wang +3

Root cause analysis (RCA) is crucial for enhancing the reliability and performance of complex systems. However, progress in this field has been hindered by the lack of large-scale,…

cs.LG2024★ 1 cited

Evolutionary Large Language Model for Automated Feature Transformation

Nanxu Gong, Chandan K. Reddy, Wangyang Ying +2

Feature transformation aims to reconstruct the feature space of raw features to enhance the performance of downstream models. However, the exponential growth in the combinations of…

cs.LG2024

Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agent

Xinyuan Wang, Dongjie Wang, Wangyang Ying +3

Feature selection prepares the AI-readiness of data by eliminating redundant features. Prior research falls into two primary categories: i) Supervised Feature Selection, which iden…

cs.LG2024

Feature Selection as Deep Sequential Generative Learning

Wangyang Ying, Dongjie Wang, Haifeng Chen +1

Feature selection aims to identify the most pattern-discriminative feature subset. In prior literature, filter (e.g., backward elimination) and embedded (e.g., Lasso) methods have…

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