--- title: "Zhengqi Wen — author profile and papers · Reasoning" description: "Zhengqi Wen, Chinese Academy of Sciences: 6 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/zhengqi-wen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zhengqi-wen/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zhengqi Wen # Zhengqi Wen Zhengqi Wen has 6 papers in our library, in 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/), [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/); often with [Jianhua Tao](https://md.research.elamur.ai/free/en/authors/jianhua-tao/), [Jinyang Wu](https://md.research.elamur.ai/free/en/authors/jinyang-wu/), [Shuai Zhang](https://md.research.elamur.ai/free/en/authors/shuai-zhang/). 6 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139852042) · [**h-index 1**](https://openalex.org/authors/A5139852042) · [23 works](https://openalex.org/works?filter=author.id:A5139852042) · [1 citations](https://openalex.org/works?filter=author.id:A5139852042&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 6 works in our library](https://md.research.elamur.ai/free/en/authors/zhengqi-wen/#papers) · [🔗 Cited 26 times in our library](https://md.research.elamur.ai/free/en/authors/zhengqi-wen/cited-by/) · [⭐ Paper Stars ranking: #9806](https://md.research.elamur.ai/free/en/paper-stars/page/99/#star-9806) 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=Zhengqi+Wen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhengqi+Wen) · [dblp](https://dblp.org/search?q=Zhengqi+Wen) · [ACL Anthology](https://aclanthology.org/search/?q=Zhengqi+Wen) ## Affiliations [🎓**Tsinghua University** Beijing · China 2026 · 19 papers*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🔬**Beijing National Research Center for Information Science and Technology** Beijing · China 2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/labs/beijing-national-research-center-for-information-science-and-technology/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Automation** Beijing · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/labs/institute-of-automation/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) 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 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) 🧭 Topics 4 Research subjects and languages the work is about.[Reasoning · 5 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2026** 6 papers](https://md.research.elamur.ai/free/en/authors/zhengqi-wen/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[SPARK: Strategic Policy-Aware Exploration via Dynamic Branching for Long-Horizon Agentic Learning](https://md.research.elamur.ai/free/en/papers/wu-2026-spark-strategic-policy-aware-exploration/)** *(2026 · 11 citations)* Training LLM agents with reinforcement learning on long, multi-step tasks is difficult because successful trajectories are rare, especially when compute is limited. 2. **[ATLAS: Orchestrating Heterogeneous Models and Tools for Multi-Domain Complex Reasoning](https://md.research.elamur.ai/free/en/papers/wu-2026-atlas-orchestrating-heterogeneous-models-tools/)** *(2026 · 8 citations)* As both LLMs and external tools multiply, choosing which model should handle a query and with which tool becomes a large combinatorial search problem. 3. **[TemplateRL: Structured Template-Guided Reinforcement Learning for LLM Reasoning](https://md.research.elamur.ai/free/en/papers/wu-2026-templaterl-structured-template-guided-reinforcement/)** *(2026 · 8 citations)* RL methods such as GRPO strengthen LLM reasoning, but they learn only from rollouts the model samples freely from its own distribution. 4. **[Beyond Examples: Towards Automated Thought-level In-Context Reasoning for Large Language Models](https://md.research.elamur.ai/free/en/papers/wu-2026-beyond-examples-automated-thought-level/)** *(2026)* Standard in-context learning (ICL) teaches LLMs by showing worked examples. The model then copies their surface form, which breaks down on hard multi-step problems. Results also depend heavily on how the demonstrations are chosen and ordered. ThoughtICR swaps concrete examples for abstract reasoning strategies. 5. **[CAIR: Causal Adaptive Information-based Reinforcement Learning for Multimodal Emotion Reasoning](https://md.research.elamur.ai/free/en/papers/zhang-2026-cair-causal-adaptive-information-based/)** *(2026)* The paper targets a weakness of multimodal emotion reasoning models that the authors call causal degeneracy. 6. **[Calibration-Aware Policy Optimization for Reasoning LLMs](https://md.research.elamur.ai/free/en/papers/wang-2026-calibration-aware-policy-optimization-reasoning/)** *(2026)* RL fine-tuning with verifiable rewards, especially GRPO, makes reasoning LLMs more accurate but also overconfident. ## Co-authors here 12 of 14 co-authors with a page, the most papers together first. - [Jianhua Tao](https://md.research.elamur.ai/free/en/authors/jianhua-tao/) ×5 - [Jinyang Wu](https://md.research.elamur.ai/free/en/authors/jinyang-wu/) ×4 - [Shuai Zhang](https://md.research.elamur.ai/free/en/authors/shuai-zhang/) ×4 - [Chonghua Liao](https://md.research.elamur.ai/free/en/authors/chonghua-liao/) ×2 - [Haoran Luo](https://md.research.elamur.ai/free/en/authors/haoran-luo/) ×2 - [Ling Yang](https://md.research.elamur.ai/free/en/authors/ling-yang/) ×2 - [Mingkuan Feng](https://md.research.elamur.ai/free/en/authors/mingkuan-feng/) ×2 - [Yuhao Shen](https://md.research.elamur.ai/free/en/authors/yuhao-shen/) ×2 - [Bin Liu](https://md.research.elamur.ai/free/en/authors/bin-liu/) - [Feihu Che](https://md.research.elamur.ai/free/en/authors/feihu-che/) - [Shuo Yang](https://md.research.elamur.ai/free/en/authors/shuo-yang/) - [Zheng Lian](https://md.research.elamur.ai/free/en/authors/zheng-lian/) ## 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/) ×3 - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×3: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×3 ## Cited by Papers of our library cite their works 26 times (of the 149,439 papers whose bibliographies we read); [13 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhengqi-wen/cited-by/). Updated 2 November 2026