---
title: "Chang Liu — author profile and papers — Elamur Research"
description: "Chang Liu, University of Science and Technology of China: 7 papers on Elamur Research (2018–2026), h-index 1 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/chang-liu/"
---
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# Chang Liu

Chang Liu has 7 papers in our library, in 2018–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Aonian Li](https://md.research.elamur.ai/free/en/authors/aonian-li/), [Bangwei Gong](https://md.research.elamur.ai/free/en/authors/bangwei-gong/), [Bo Yang](https://md.research.elamur.ai/free/en/authors/bo-yang/).

7 papers in our library · 2018–2026

[OpenAlex](https://openalex.org/A5139759347) · [**h-index 1**](https://openalex.org/authors/A5139759347) · [9 works](https://openalex.org/works?filter=author.id:A5139759347) · [1 citations](https://openalex.org/works?filter=author.id:A5139759347&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 7 works in our library](https://md.research.elamur.ai/free/en/authors/chang-liu/#papers) · [🔗 Cited 246 times in our library](https://md.research.elamur.ai/free/en/authors/chang-liu/cited-by/) · [⭐ Paper Stars ranking: #2976](https://md.research.elamur.ai/free/en/paper-stars/page/30/#star-2976)

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

## Affiliations

[🎓**Colorado School of Mines** Golden · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/colorado-school-of-mines/) · [🎓**Hong Kong Polytechnic University** Hong Kong · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/hong-kong-polytechnic-university/) · [🎓**Lanzhou University** Lanzhou · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/lanzhou-university/) · [🎓**National University of Defense Technology** Changsha · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/national-university-of-defense-technology/) · [🎓**Ohio University** Athens · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/ohio-university/) · [🎓**Shanghai University of Finance and Economics** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/shanghai-university-of-finance-and-economics/) · [🎓**University of Science and Technology of China** Hefei · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/)

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 13 The field of science this work belongs to (OpenAlex fields).[Computer Science · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Social Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Sociology and Political Science · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/) · [Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Engineering · 2 works](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Control and Systems Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/control-and-systems-engineering/) · [Software · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/software/) · [Human-Computer Interaction · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/human-computer-interaction/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Media Technology · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/media-technology/)

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

## Works by year

### 2020s

[**2026** 4 papers](https://md.research.elamur.ai/free/en/authors/chang-liu/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/chang-liu/year/2025/)

### 2010s

[**2018** 1 paper](https://md.research.elamur.ai/free/en/authors/chang-liu/year/2018/)

## Papers

The most cited first (OpenAlex and our library).

1. **[The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks](https://md.research.elamur.ai/free/en/papers/carlini-2018-secret-sharer-evaluating-testing-unintended/)** *(2018 · 692 citations)* Neural sequence generators trained on private text, such as user emails, can quietly retain rare strings like card numbers.
2. **[MiniMax-01: Scaling Foundation Models with Lightning Attention](https://md.research.elamur.ai/free/en/papers/minimax-2025-minimax-01-scaling-foundation/)** *(2025 · 50 citations)* Most current LLMs and VLMs handle 32K–256K tokens of context. That is often too little for tasks like reading whole books, working across entire code repositories, or many-shot in-context learning. The main obstacle is that softmax attention cost grows quadratically with length. MiniMax-01 addresses this with a…
3. **[DiMo-GUI: Advancing Test-time Scaling in GUI Grounding via Modality-Aware Visual Reasoning](https://md.research.elamur.ai/free/en/papers/wu-2025-dimo-gui-advancing-test-time/)** *(2025 · 8 citations)* Locating the on-screen element that a natural-language command refers to (GUI grounding) is difficult. High-resolution screenshots are crowded with distractors, and vision-language models tend to favour visible text over icons, even when an icon is the real target. DiMo-GUI is a training-free, plug-and-play inference…
4. **[Divergent Thinking: Escape the Homogeneity Trap in Generative Commonsense Reasoning](https://md.research.elamur.ai/free/en/papers/tao-2026-divergent-thinking-escape-homogeneity-trap/)** *(2026)* The paper studies generative commonsense reasoning (GCR), where a model must write a coherent sentence that uses a given set of concepts and still makes commonsense sense.
5. **[From Wordle to Fibble5: Evaluating LLM Reasoning Under Escalating Deception](https://md.research.elamur.ai/free/en/papers/liu-2026-wordle-fibble-5-evaluating-llm/)** *(2026)* Game-based LLM benchmarks such as Wordle usually give the model honest feedback. Real reasoning tasks, like diagnosis, retrieval or working with other agents, often involve unreliable signals. This paper introduces WordleArenas, a platform that controls how much the feedback lies. It extends Fibble, a Wordle variant…
6. **[Me-Agent: A Personalized Mobile Agent with Two-Level User Habit Learning for Enhanced Interaction](https://md.research.elamur.ai/free/en/papers/wang-2026-me-agent-personalized-mobile-agent/)** *(2026)* LLM-driven phone agents usually execute only what the user states explicitly. They struggle when a request leaves out the app ("play some music") or the content ("play my favorite"), and they do not learn from a person's past behavior. Me-Agent addresses this without any fine-tuning by modeling user habits at two…
7. **[Overview of EvaHan2026: The First International Evaluation of Ancient Chinese OCR and Layout Analysis](https://md.research.elamur.ai/free/en/papers/wang-2026-overview-evahan2026-first-international-evaluation/)** *(2026)* EvaHan2026 is the fifth edition of the EvaHan shared-task series on ancient Chinese, held with LT4HALA 2026 @ LREC 2026.

## Co-authors here

12 of 18 co-authors with a page, the most papers together first.

- [Aonian Li](https://md.research.elamur.ai/free/en/authors/aonian-li/)
- [Bangwei Gong](https://md.research.elamur.ai/free/en/authors/bangwei-gong/)
- [Bo Yang](https://md.research.elamur.ai/free/en/authors/bo-yang/)
- [Boji Shan](https://md.research.elamur.ai/free/en/authors/boji-shan/)
- [Cheng Zhu](https://md.research.elamur.ai/free/en/authors/cheng-zhu/)
- [Da Chen](https://md.research.elamur.ai/free/en/authors/da-chen/)
- [Dawn Song](https://md.research.elamur.ai/free/en/authors/dawn-song/)
- [Dong Li](https://md.research.elamur.ai/free/en/authors/dong-li/)
- [Fan Yang](https://md.research.elamur.ai/free/en/authors/fan-yang/)
- [Jie Chen](https://md.research.elamur.ai/free/en/authors/jie-chen/)
- [Kaiwen Wei](https://md.research.elamur.ai/free/en/authors/kaiwen-wei/)
- [MiniMax](https://md.research.elamur.ai/free/en/authors/minimax/)

## Venues

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

- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2
- [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/)
- [Workshop on Evaluating Evaluations (EvalEval)](https://md.research.elamur.ai/free/en/venues/evaleval/): [EvalEval 2026](https://md.research.elamur.ai/free/en/venues/evaleval/2026/)
- [Workshop on Language Technologies for Historical and Ancient Languages @ LREC](https://md.research.elamur.ai/free/en/venues/lt4hala/): [Workshop on Language Technologies for Historical and Ancient Languages @ LREC 2026](https://md.research.elamur.ai/free/en/venues/lt4hala/2026/)

## Cited by

Papers of our library cite their works 246 times (of the 149,439 papers whose bibliographies we read); [59 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/chang-liu/cited-by/).

Updated 1 November 2026
