🧑‍🔬 Liqun Chen

🏛️ Affiliations

🎓Harbin Institute of TechnologyHarbin · Chinacurrent

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Contextualized Perturbation for Textual Adversarial Attack (2021 · 283 citations)
   Adversarial attacks on NLP classifiers should fool the model while still reading naturally. Most earlier methods swap words using context-blind rules such as synonym lists, which often produces awkward or ungrammatical text. The authors propose CLARE, a black-box attack that masks part of the input and lets a…
2. AICA-Bench: Holistically Examining the Capabilities of VLMs in Affective Image Content Analysis (2026)
   Existing emotion benchmarks for vision-language models mostly check whether a model can choose the right emotion label for an image. AICA-Bench tests a broader skill set across three tasks:

🤝 Co-authors here

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

• Bill Dolan
• Chris Brockett
• Dong She
• Hao Peng
• Xianrong Yao
• Yang Gao
• Yizhe Zhang
• Zhanpeng Jin

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: Findings of the Association for Computational Linguistics 2026
• Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): NAACL 2021

🔗 Cited by

Papers of our library cite their works 105 times (of the 149,439 papers whose bibliographies we read); 12 citing papers with a page here →.

Updated 1 November 2026

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