---
title: "Bingzhe Wu · Shenzhen University — author profile and papers"
description: "Bingzhe Wu, Shenzhen University: 4 papers on Elamur Research (2023–2026), h-index 20 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/bingzhe-wu/"
---
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# Bingzhe Wu

Bingzhe Wu has 4 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Haotian Lu](https://md.research.elamur.ai/free/en/authors/haotian-lu/), [Yuchen Mou](https://md.research.elamur.ai/free/en/authors/yuchen-mou/), [Lemao Liu](https://md.research.elamur.ai/free/en/authors/lemao-liu/).

4 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5040323946) · [ORCID](https://orcid.org/0000-0001-9598-7642) · [Wikidata](https://www.wikidata.org/wiki/Q130938907) · [**h-index 20**](https://openalex.org/authors/A5040323946) · [94 works](https://openalex.org/works?filter=author.id:A5040323946) · [1,256 citations](https://openalex.org/works?filter=author.id:A5040323946&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/bingzhe-wu/#papers) · [🔗 Cited 119 times in our library](https://md.research.elamur.ai/free/en/authors/bingzhe-wu/cited-by/) · [⭐ Paper Stars ranking: #7016](https://md.research.elamur.ai/free/en/paper-stars/page/71/#star-7016)

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=Bingzhe+Wu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Bingzhe+Wu) · [dblp](https://dblp.org/search?q=Bingzhe+Wu) · [ACL Anthology](https://aclanthology.org/search/?q=Bingzhe+Wu)

## Affiliations

[🎓**Shenzhen University** Shenzhen · China 2025–2026 · 11 papers*current*](https://md.research.elamur.ai/free/en/universities/shenzhen-university/) · [🏢**Tencent** Shenzhen · China 2021–2025 · 42 papers](https://md.research.elamur.ai/free/en/companies/tencent/) · [🎓**Peking University** Beijing · China 2017–2024 · 15 papers](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🎓**Chinese University of Hong Kong, Shenzhen** Shenzhen · China 2022–2025 · 4 papers](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong-shenzhen/) · [🏢**Ant Group** Hangzhou · China 2020–2021 · 4 papers](https://md.research.elamur.ai/free/en/companies/ant-group/) · [🎓**Chinese University of Hong Kong** Hong Kong · China 2023–2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 more institutions on single bylines are not listed.

## Fields, topics and concepts

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

📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/)

🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/bingzhe-wu/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/bingzhe-wu/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/bingzhe-wu/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[LLM Inference Unveiled: Survey and Roofline Model Insights](https://md.research.elamur.ai/free/en/papers/yuan-2024-llm-inference-unveiled-survey-roofline/)** *(2024 · 91 citations)* This survey targets a practical gap in research on efficient LLM inference. Many acceleration techniques exist, but there has been no unified way to reason about why they help on real hardware. The authors build their review around the Roofline model. It relates a workload's demands to a device's compute capacity and…
2. **[Fairness-guided Few-shot Prompting for Large Language Models](https://md.research.elamur.ai/free/en/papers/ma-2023-fairness-guided-few-shot-prompting/)** *(2023 · 64 citations)* In-context learning in large language models is unstable: accuracy can change sharply depending on which few-shot demonstrations are chosen and how they are ordered.
3. **[CARO: Chain-of-Analogy Reasoning Optimization for Robust Content Moderation](https://md.research.elamur.ai/free/en/papers/wu-2026-caro-chain-analogy-reasoning-optimization/)** *(2026)* LLM-based moderators, including dedicated reasoning models, often misjudge borderline content because surface cues act as "decision shortcuts." For example, DeepSeek R1 flagged a harmless remark mentioning an ethnic group as discriminatory.
4. **[CHAIRO: Contextual Hierarchical Analogical Induction and Reasoning Optimization for LLMs](https://md.research.elamur.ai/free/en/papers/lu-2026-chairo-contextual-hierarchical-analogical-induction/)** *(2026)* LLM-based content moderation often fails when harm is implicit, such as discrimination expressed indirectly or through metaphor, or when moderation criteria are vague.

## Co-authors here

11 co-authors with a page, the most papers together first.

- [Haotian Lu](https://md.research.elamur.ai/free/en/authors/haotian-lu/) ×2
- [Yuchen Mou](https://md.research.elamur.ai/free/en/authors/yuchen-mou/) ×2
- [Lemao Liu](https://md.research.elamur.ai/free/en/authors/lemao-liu/)
- [Peilin Zhao](https://md.research.elamur.ai/free/en/authors/peilin-zhao/)
- [Yang Zhou](https://md.research.elamur.ai/free/en/authors/yang-zhou/)
- [Yatao Bian](https://md.research.elamur.ai/free/en/authors/yatao-bian/)
- [Yong Jae Lee](https://md.research.elamur.ai/free/en/authors/yong-jae-lee/)
- [Yuzhang Shang](https://md.research.elamur.ai/free/en/authors/yuzhang-shang/)
- [Zhen Dong](https://md.research.elamur.ai/free/en/authors/zhen-dong/)
- [Zhihang Yuan](https://md.research.elamur.ai/free/en/authors/zhihang-yuan/)
- [Zhirui Zhang](https://md.research.elamur.ai/free/en/authors/zhirui-zhang/)

## Venues

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

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- [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 119 times (of the 149,439 papers whose bibliographies we read); [19 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/bingzhe-wu/cited-by/).

Updated 2 November 2026
