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Zhichen Zeng

University of Illinois Urbana-Champaign

32 papers hereh-index 16669 citations40 works total

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

author position
  • first author7
  • middle author24

Across the 31 of 32 papers where every author was matched, so the position is known.

fields
  • cs.LG17
  • cs.AI4
  • cs.IR4
  • cs.CL3
  • cs.CV2
  • cs.CR1
affiliations
  • University of Illinois Urbana-Champaign
Homepage
same name
  • Zhichen Zeng — 9 papers, h 6
  • Zhichen Zeng — 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

activity
20232026
most citedResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration

8 citations · 28 across the 29 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2026

SETA: Scaling Environments for Terminal Agents

Qijia Shen, Zhiqi Huang, Vamsidhar Kamanuru +19

Large language models (LLMs) are rapidly shifting toward agents that solve tasks through diverse interfaces, including web and graphical user interfaces (GUIs). Among these, the te…

cs.AI2026★ 1 cited

A Survey of Agentic Reasoning for Large Language Models: Towards Recursively Self-Improving and Collective Agents

Tianxin Wei, Ting-Wei Li, Zhining Liu +26

Reasoning is a fundamental cognitive process underlying inference, problem-solving, and decision-making. While large language models (LLMs) demonstrate strong reasoning capabilitie…

cs.AI2026

TSAQA: Time Series Analysis Question And Answering Benchmark

Baoyu Jing, Sanhorn Chen, Lecheng Zheng +13

Time series data are integral to critical applications across domains such as finance, healthcare, transportation, and environmental science. While recent work has begun to explore…

cs.AI2025

Joint Optimal Transport and Embedding for Network Alignment

Qi Yu, Zhichen Zeng, Yuchen Yan +3

Network alignment, which aims to find node correspondence across different networks, is the cornerstone of various downstream multi-network and Web mining tasks. Most of the embedd…

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