---
title: "Changjiang Li · Palo Alto Networks — author profile and papers"
description: "Changjiang Li, Palo Alto Networks: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/changjiang-li/"
---
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# Changjiang Li

Changjiang Li has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Chunyi Zhou](https://md.research.elamur.ai/free/en/authors/chunyi-zhou/), [Jinbao Li](https://md.research.elamur.ai/free/en/authors/jinbao-li/), [Jun Wang](https://md.research.elamur.ai/free/en/authors/jun-wang/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139730512) · [**h-index 1**](https://openalex.org/authors/A5139730512) · [3 works](https://openalex.org/works?filter=author.id:A5139730512) · [1 citations](https://openalex.org/works?filter=author.id:A5139730512&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/changjiang-li/#papers) · 🔗 Cited 1 time in our library · [⭐ Paper Stars ranking: #11129](https://md.research.elamur.ai/free/en/paper-stars/page/112/#star-11129)

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

## Affiliations

[🏢**Palo Alto Networks** Santa Clara · United States 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/companies/palo-alto-networks/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## 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).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

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

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/changjiang-li/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Compiling Activation Steering into Weights via Null-Space Constraints for Stealthy Backdoors](https://md.research.elamur.ai/free/en/papers/yin-2026-compiling-activation-steering-into-weights/)** *(2026 · 1 citation)* The paper looks at supply-chain backdoors in safety-aligned LLMs. In this setting, an attacker with write access to a checkpoint wants a hidden trigger to unlock harmful answers, while the model behaves normally otherwise. Earlier weight-editing attacks such as JailbreakEdit train the model to open with an agreeing…
2. **[“I See What You Did There”: Can Large Vision-Language Models Understand Multimodal Puns?](https://md.research.elamur.ai/free/en/papers/xu-2026-i-see-what-you-did/)** *(2026 · 1 citation)* The paper asks whether vision-language models (VLMs) actually understand multimodal puns or only react to playful-looking content.

## Co-authors here

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

- [Chunyi Zhou](https://md.research.elamur.ai/free/en/authors/chunyi-zhou/) ×2
- [Jinbao Li](https://md.research.elamur.ai/free/en/authors/jinbao-li/) ×2
- [Jun Wang](https://md.research.elamur.ai/free/en/authors/jun-wang/) ×2
- [Naen Xu](https://md.research.elamur.ai/free/en/authors/naen-xu/) ×2
- [Shouling Ji](https://md.research.elamur.ai/free/en/authors/shouling-ji/) ×2
- [Tianyu Du](https://md.research.elamur.ai/free/en/authors/tianyu-du/) ×2
- [Zhihui Fu](https://md.research.elamur.ai/free/en/authors/zhihui-fu/) ×2

## 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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2

## Cited by

Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read).

Updated 1 November 2026
