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researcher

Cheng Chi

4 papers hereh-index 4267 citations6 works total

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

author position
  • first author1
  • middle author3

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

fields
  • cs.IR1
  • cs.LG1
  • math.OC1
  • stat.ML1
same name
  • Cheng Chi — 20 papers, h 10
  • Cheng Chi — 9 papers, h 8
  • Cheng Chi — 9 papers, h 17
  • Cheng Chi — 8 papers, h 4
  • Cheng Chi — 8 papers, h 8
  • Cheng Chi — 4 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

most citedA Neural Corpus Indexer for Document Retrieval

49 citations · 64 across the 4 of their papers we have counts for

collaborators

4 papers

stat.ML2026

LassoFlexNet: Flexible Neural Architecture for Tabular Data

Kry Yik Chau Lui, Cheng Chi, Kishore Basu +1

Despite their dominance in vision and language, deep neural networks often underperform relative to tree-based models on tabular data. To bridge this gap, we incorporate five key i…

cs.LG2022★ 1 cited

Don't overfit the history -- Recursive time series data augmentation

Amine Mohamed Aboussalah, Min-Jae Kwon, Raj G Patel +2

Time series observations can be seen as realizations of an underlying dynamical system governed by rules that we typically do not know. For time series learning tasks, we need to u…

cs.IR2022★ 49 cited

A Neural Corpus Indexer for Document Retrieval

Yujing Wang, Yingyan Hou, Haonan Wang +13

Current state-of-the-art document retrieval solutions mainly follow an index-retrieve paradigm, where the index is hard to be directly optimized for the final retrieval target. In…

math.OC2022★ 14 cited

A Deep Reinforcement Learning Framework For Column Generation

Cheng Chi, Amine Mohamed Aboussalah, Elias B. Khalil +2

Column Generation (CG) is an iterative algorithm for solving linear programs (LPs) with an extremely large number of variables (columns). CG is the workhorse for tackling large-sca…

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