---
title: "Zheye Deng — author profile and papers — Elamur Research"
description: "Zheye Deng, Amazon: 2 papers on Elamur Research (2025–2026), h-index 6 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/zheye-deng/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zheye-deng/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zheye Deng

# Zheye Deng

Zheye Deng has 2 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Weiqi Wang](https://md.research.elamur.ai/free/en/authors/weiqi-wang/), [Baixuan Xu](https://md.research.elamur.ai/free/en/authors/baixuan-xu/), [Changlong Yu](https://md.research.elamur.ai/free/en/authors/changlong-yu/).

2 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5087403875) · [**h-index 6**](https://openalex.org/authors/A5087403875) · [21 works](https://openalex.org/works?filter=author.id:A5087403875) · [71 citations](https://openalex.org/works?filter=author.id:A5087403875&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zheye-deng/#papers) · [🔗 Cited 26 times in our library](https://md.research.elamur.ai/free/en/authors/zheye-deng/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #10092](https://md.research.elamur.ai/free/en/paper-stars/page/101/#star-10092)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Zheye+Deng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zheye+Deng) · [dblp](https://dblp.org/search?q=Zheye+Deng) · [ACL Anthology](https://aclanthology.org/search/?q=Zheye+Deng)

## Affiliations

[🎓**Hong Kong University of Science and Technology** Hong Kong · China 2023–2026 · 20 papers*current*](https://md.research.elamur.ai/free/en/universities/hong-kong-university-of-science-and-technology/) · [🏢**Amazon** Seattle · United States 2025–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/companies/amazon/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/zheye-deng/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/zheye-deng/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[From Automation to Autonomy: A Survey on Large Language Models in Scientific Discovery](https://md.research.elamur.ai/free/en/papers/zheng-2025-automation-autonomy-survey-large/)** *(2025 · 39 citations)* This survey examines how large language models are changing scientific research. It focuses on how much independence these systems have, not on any one discipline. The authors argue that earlier reviews mostly catalogued domain applications or captured LLM abilities at a single point in time. Those reviews missed the…
2. **[SessionIntentBench: A Multi-task Inter-session Intention-shift Modeling Benchmark for E-commerce Customer Behavior Understanding](https://md.research.elamur.ai/free/en/papers/yang-2026-sessionintentbench-multi-task-inter-session/)** *(2026)* E-commerce services benefit from knowing what a shopper wants at a given moment. User profiles and purchase records are often missing, and earlier intention research covers only single or co-buy purchases, mostly using product titles and images. This paper models how preferences change step by step during a browsing…

## All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. **[From Automation to Autonomy: A Survey on Large Language Models in Scientific Discovery](https://md.research.elamur.ai/free/en/papers/zheng-2025-automation-autonomy-survey-large/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Tianshi Zheng, Zheye Deng, Hong Ting Tsang, et al.*2025 · 39 citations*
2. **[Legal Rule Induction: Towards Generalizable Principle Discovery from Analogous Judicial Precedents ↗](https://arxiv.org/abs/2505.14104) arXiv:2505.14104 · no summary yet**Wei Fan et al.*2025 · 3 citations*
3. **[SessionIntentBench: A Multi-task Inter-session Intention-shift Modeling Benchmark for E-commerce Customer Behavior Understanding](https://md.research.elamur.ai/free/en/papers/yang-2026-sessionintentbench-multi-task-inter-session/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuqi Yang, Weiqi Wang, Baixuan Xu, et al.*2026*

## Co-authors here

12 of 15 co-authors with a page, the most papers together first.

- [Weiqi Wang](https://md.research.elamur.ai/free/en/authors/weiqi-wang/) ×2
- [Baixuan Xu](https://md.research.elamur.ai/free/en/authors/baixuan-xu/)
- [Changlong Yu](https://md.research.elamur.ai/free/en/authors/changlong-yu/)
- [Chen Luo](https://md.research.elamur.ai/free/en/authors/chen-luo/)
- [Chunkit Chan](https://md.research.elamur.ai/free/en/authors/chunkit-chan/)
- [Hong Ting Tsang](https://md.research.elamur.ai/free/en/authors/hong-ting-tsang/)
- [Jiaxin Bai](https://md.research.elamur.ai/free/en/authors/jiaxin-bai/)
- [Qing Zong](https://md.research.elamur.ai/free/en/authors/qing-zong/)
- [Tianshi Zheng](https://md.research.elamur.ai/free/en/authors/tianshi-zheng/)
- [Wei Fan](https://md.research.elamur.ai/free/en/authors/wei-fan/)
- [Xin Liu](https://md.research.elamur.ai/free/en/authors/xin-liu/)
- [Yang Li](https://md.research.elamur.ai/free/en/authors/yang-li/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)

## Cited by

Papers of our library cite their works 26 times (of the 149,439 papers whose bibliographies we read); [7 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zheye-deng/cited-by/).

Updated 3 November 2026
