---
title: "Kai Zhao · Chongqing University — author profile and papers"
description: "Kai Zhao, Chongqing University: 3 papers on Elamur Research (2017–2026), h-index 0 — affiliations, topics, co-authors and who cites them…"
canonical: "https://research.elamur.ai/free/en/authors/kai-zhao/"
---
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# Kai Zhao

Kai Zhao has 3 papers in our library, in 2017–2026, most of them on [Discourse analysis](https://md.research.elamur.ai/free/en/topics/discourse-analysis/), [Treebanks](https://md.research.elamur.ai/free/en/topics/treebanks/), [English](https://md.research.elamur.ai/free/en/topics/english/); often with [Liang Huang](https://md.research.elamur.ai/free/en/authors/liang-huang/), [Xu Chu](https://md.research.elamur.ai/free/en/authors/xu-chu/).

3 papers in our library · 2017–2026

[OpenAlex](https://openalex.org/A5139810592) · [**h-index 0**](https://openalex.org/authors/A5139810592) · [3 works](https://openalex.org/works?filter=author.id:A5139810592) · [0 citations](https://openalex.org/works?filter=author.id:A5139810592&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/kai-zhao/#papers) · 🔗 Cited 4 times in our library · [⭐ Paper Stars ranking: #9216](https://md.research.elamur.ai/free/en/paper-stars/page/93/#star-9216)

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

## Affiliations

[🎓**Chongqing University** Chongqing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/chongqing-university/)

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 5 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 3 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/)

🧭 Topics 3 Research subjects and languages the work is about.[Discourse analysis · 1 work](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) · [English · 1 work](https://md.research.elamur.ai/free/en/topics/english/) · [Treebanks · 1 work](https://md.research.elamur.ai/free/en/topics/treebanks/)

## Works by year

### 2020s

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

### 2010s

[**2017** 1 paper](https://md.research.elamur.ai/free/en/authors/kai-zhao/year/2017/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Joint Syntacto-Discourse Parsing and the Syntacto-Discourse Treebank](https://md.research.elamur.ai/free/en/papers/zhao-2017-joint-syntacto-discourse-parsing-syntacto/)** *(2017 · 43 citations)* The paper proposes a discourse parser that builds constituency and RST discourse trees in one pass, with no pre-segmentation and no external syntactic features.
2. **[LAMCL: A Length-aware Momentum Contrastive Learning Framework for Multiscale Machine-Revised Text Detection](https://md.research.elamur.ai/free/en/papers/zhou-2026-lamcl-length-aware-momentum-contrastive/)** *(2026)* The paper addresses a difficult detection case: text that a human wrote and an LLM later rewrote or polished.
3. **[Robust Explanations for User Trust in Enterprise NLP Systems](https://md.research.elamur.ai/free/en/papers/zhang-2026-robust-explanations-user-trust-enterprise/)** *(2026)* Enterprise teams often reach NLP models only through APIs. That rules out gradient- or attention-based explainers and makes it hard to check, before deployment, whether token-level rationales stay stable when users introduce noise. The question matters more as companies move from encoder classifiers to decoder LLMs.…

## Co-authors here

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

- [Liang Huang](https://md.research.elamur.ai/free/en/authors/liang-huang/)
- [Xu Chu](https://md.research.elamur.ai/free/en/authors/xu-chu/)

## 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
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2017](https://md.research.elamur.ai/free/en/venues/emnlp/2017/)

## Cited by

Papers of our library cite their works 4 times (of the 149,439 papers whose bibliographies we read).

Updated 2 November 2026
