---
title: "Yongcheng Jing — author profile and papers in our library"
description: "Yongcheng Jing, Nanyang Technological University: 3 papers on Elamur Research (2025–2026), h-index 17 — affiliations, topics, co-authors…"
canonical: "https://research.elamur.ai/free/en/authors/yongcheng-jing/"
---
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# Yongcheng Jing

Yongcheng Jing has 3 papers in our library, in 2025–2026, 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/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Dacheng Tao](https://md.research.elamur.ai/free/en/authors/dacheng-tao/), [Yingjie Wang](https://md.research.elamur.ai/free/en/authors/yingjie-wang/), [Haifeng Sun](https://md.research.elamur.ai/free/en/authors/haifeng-sun/).

3 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5074468971) · [ORCID](https://orcid.org/0000-0001-8925-5787) · [**h-index 17**](https://openalex.org/authors/A5074468971) · [39 works](https://openalex.org/works?filter=author.id:A5074468971) · [1,798 citations](https://openalex.org/works?filter=author.id:A5074468971&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yongcheng-jing/#papers) · [🔗 Cited 14 times in our library](https://md.research.elamur.ai/free/en/authors/yongcheng-jing/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #10659](https://md.research.elamur.ai/free/en/paper-stars/page/107/#star-10659)

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

## Affiliations

[🎓**Nanyang Technological University** Singapore · Singapore 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/nanyang-technological-university/) · [🎓**Zhejiang University** Hangzhou · China 2017–2021 · 10 papers](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🎓**The University of Sydney** Sydney · Australia 2021–2025 · 9 papers](https://md.research.elamur.ai/free/en/universities/the-university-of-sydney/) · [🏢**Alibaba Group** Hangzhou · China 2017–2018 · 2 papers](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🎓**South China University of Technology** Guangzhou · China 2015–2016 · 2 papers](https://md.research.elamur.ai/free/en/universities/south-china-university-of-technology/)

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 4 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/)

🧭 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/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/yongcheng-jing/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/yongcheng-jing/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Dynamic Parallel Tree Search for Efficient LLM Reasoning](https://md.research.elamur.ai/free/en/papers/ding-2025-dynamic-parallel-tree-search-efficient/)** *(2025 · 13 citations)* Tree-of-Thoughts (ToT) style search, often driven by MCTS, improves LLM reasoning, but prior work has focused on accuracy rather than cost.
2. **[Distillation Traps and Guards: A Calibration Knob for LLM Distillability](https://md.research.elamur.ai/free/en/papers/zhan-2026-distillation-traps-guards-calibration-knob/)** *(2026 · 1 citation)* Knowledge distillation (KD) from large LLMs into smaller students sometimes fails without warning, and the same mechanism lets others copy proprietary models.
3. **[Erasing Without Remembering: Implicit Knowledge Forgetting in Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-erasing-without-remembering-implicit-knowledge/)** *(2026 · 1 citation)* The paper tackles a weakness in LLM machine unlearning: current techniques tend to suppress only the literal wording of the data to be forgotten.

## All works

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

1. **[Dynamic Instance Normalization for Arbitrary Style Transfer ↗](https://doi.org/10.1609/aaai.v34i04.5862) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Yongcheng Jing et al.*2020 · 192 citations*
2. **[Dynamic Parallel Tree Search for Efficient LLM Reasoning](https://md.research.elamur.ai/free/en/papers/ding-2025-dynamic-parallel-tree-search-efficient/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yifu Ding, Wentao Jiang, Shunyu Liu, et al.*2025 · 13 citations*
3. **[Distillation Traps and Guards: A Calibration Knob for LLM Distillability](https://md.research.elamur.ai/free/en/papers/zhan-2026-distillation-traps-guards-calibration-knob/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weixiao Zhan, Yongcheng Jing, Leszek Rutkowski, et al.*2026 · 1 citation*
4. **[Erasing Without Remembering: Implicit Knowledge Forgetting in Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-erasing-without-remembering-implicit-knowledge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Huazheng Wang, Yongcheng Jing, Haifeng Sun, et al.*2026 · 1 citation*

## Co-authors here

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

- [Dacheng Tao](https://md.research.elamur.ai/free/en/authors/dacheng-tao/) ×3
- [Yingjie Wang](https://md.research.elamur.ai/free/en/authors/yingjie-wang/) ×2
- [Haifeng Sun](https://md.research.elamur.ai/free/en/authors/haifeng-sun/)
- [Huazheng Wang](https://md.research.elamur.ai/free/en/authors/huazheng-wang/)
- [Jianxin Liao](https://md.research.elamur.ai/free/en/authors/jianxin-liao/)
- [Jing Zhang](https://md.research.elamur.ai/free/en/authors/jing-zhang/)
- [Jingyu Wang](https://md.research.elamur.ai/free/en/authors/jingyu-wang/)
- [Jinyang Guo](https://md.research.elamur.ai/free/en/authors/jinyang-guo/)
- [Leszek Rutkowski](https://md.research.elamur.ai/free/en/authors/leszek-rutkowski/)
- [Shunyu Liu](https://md.research.elamur.ai/free/en/authors/shunyu-liu/)
- [Xianglong Liu](https://md.research.elamur.ai/free/en/authors/xianglong-liu/)
- [Ziwei Liu](https://md.research.elamur.ai/free/en/authors/ziwei-liu/)

## 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/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2, [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)
- Proceedings of the AAAI Conference on Artificial Intelligence

## Cited by

Papers of our library cite their works 14 times (of the 149,439 papers whose bibliographies we read); [5 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yongcheng-jing/cited-by/).

Updated 2 November 2026
