🧑‍🔬 Xuancheng Ren

🏛️ Affiliations

🎓Peking UniversityBeijing · China2017–2025 · 66 papers🏢Alibaba GroupHangzhou · China2022–2025 · 5 papers🎓Fudan UniversityShanghai · China2024–2026 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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.

📅 Works by year

2020s

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach (2018 · 302 citations)
   Changing a sentence's sentiment while keeping its topic and other content is hard without parallel positive/negative sentence pairs. Earlier style-transfer models mix sentiment and meaning in one dense hidden vector, so their outputs often drift off-topic. Xu et al. split the task between two cooperating components.
2. Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models (2021 · 134 citations)
   Backdoor attacks make an NLP classifier behave normally on ordinary inputs but output an attacker-chosen class whenever a rare trigger word appears.

All works

7 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning ApproachAnnual Meeting of the Association for Computational Linguistics (ACL)Jingjing Xu, Xu Sun, Qi Zeng, et al.2018 · 302 citations
2. Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Wenkai Yang, Lei Li, Zhiyuan Zhang, et al.2021 · 134 citations
3. Query and Output: Generating Words by Querying Distributed Word Representations for Paraphrase Generation ↗Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · no summary yetShuming Ma et al.2018 · 79 citations
4. A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetChen Wu et al.2019 · 77 citations
5. CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings ↗arXiv:2501.01257 · no summary yetShanghaoran Quan et al.2025 · 36 citations
6. Qwen-Scope: Turning Sparse Features into Development Tools for Large Language Models ↗arXiv:2605.11887 · no summary yetBoyi Deng et al.2026 · 3 citations
7. LatentRefusal: Latent-Signal Refusal for Unanswerable Text-to-SQL Queries ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetXuancheng Ren et al.2026

🤝 Co-authors here

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

• Xu Sun ×2
• Houfeng Wang
• Jingjing Xu
• Lei Li
• Wenjie Li
• Wenkai Yang
• Xiaodong Zhang
• Zhiyuan 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) ×2: ACL 2018
• Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): NAACL 2021
• Findings of the Association for Computational Linguistics: ACL 2026
• Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)

🔗 Cited by

Papers of our library cite their works 6,590 times (of the 141,840 papers whose bibliographies we read); 248 citing papers with a page here →.

Updated 24 October 2026

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