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researcher

Hejia Zhang

4 papers here

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

author position
  • first author2
  • middle author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ML2
  • cs.CL1
  • cs.RO1
ORCID 0000-0001-5222-5277
same name
  • Hejia Zhang — 8 papers, h 13
  • Hejia Zhang — 1 paper

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 Convolutional Autoencoder for Multi-Subject fMRI Data Aggregation

22 citations · 37 across the 4 of their papers we have counts for

collaborators

4 papers

cs.RO2023

Multi-Robot Geometric Task-and-Motion Planning for Collaborative Manipulation Tasks

Hejia Zhang, Shao-Hung Chan, Jie Zhong +6

We address multi-robot geometric task-and-motion planning (MR-GTAMP) problems in synchronous, monotone setups. The goal of the MR-GTAMP problem is to move objects with multiple rob…

cs.CL2023★ 9 cited

Effective Long-Context Scaling of Foundation Models

Wenhan Xiong, Jingyu Liu, Igor Molybog +18

We present a series of long-context LLMs that support effective context windows of up to 32,768 tokens. Our model series are built through continual pretraining from Llama 2 with l…

stat.ML2016★ 6 cited

A Searchlight Factor Model Approach for Locating Shared Information in Multi-Subject fMRI Analysis

Hejia Zhang, Po-Hsuan Chen, Janice Chen +5

There is a growing interest in joint multi-subject fMRI analysis. The challenge of such analysis comes from inherent anatomical and functional variability across subjects. One appr…

stat.ML2016★ 22 cited

A Convolutional Autoencoder for Multi-Subject fMRI Data Aggregation

Po-Hsuan Chen, Xia Zhu, Hejia Zhang +5

Finding the most effective way to aggregate multi-subject fMRI data is a long-standing and challenging problem. It is of increasing interest in contemporary fMRI studies of human c…

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