--- title: "Jianhua Tao — author profile and papers — Elamur Research" description: "Jianhua Tao, Beijing National Research Center for Information Science and Technology: 6 papers on Elamur Research (2025–2026), h-index…" canonical: "https://research.elamur.ai/free/en/authors/jianhua-tao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jianhua-tao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jianhua Tao # Jianhua Tao Jianhua Tao has 6 papers in our library, in 2025–2026, 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 [Jinyang Wu](https://md.research.elamur.ai/free/en/authors/jinyang-wu/), [Shuai Zhang](https://md.research.elamur.ai/free/en/authors/shuai-zhang/), [Zhengqi Wen](https://md.research.elamur.ai/free/en/authors/zhengqi-wen/). 6 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5112613657) · [ORCID](https://orcid.org/0000-0002-9344-6428) · [Wikidata](https://www.wikidata.org/wiki/Q130839003) · [**h-index 45**](https://openalex.org/authors/A5112613657) · [547 works](https://openalex.org/works?filter=author.id:A5112613657) · [9,276 citations](https://openalex.org/works?filter=author.id:A5112613657&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 6 works in our library](https://md.research.elamur.ai/free/en/authors/jianhua-tao/#papers) · [🔗 Cited 47 times in our library](https://md.research.elamur.ai/free/en/authors/jianhua-tao/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #9124](https://md.research.elamur.ai/free/en/paper-stars/page/92/#star-9124) 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=Jianhua+Tao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jianhua+Tao) · [dblp](https://dblp.org/search?q=Jianhua+Tao) · [ACL Anthology](https://aclanthology.org/search/?q=Jianhua+Tao) ## Affiliations [🎓**Tsinghua University** Beijing · China 2003–2026 · 125 papersEducation · Ph.D, Department of Computer Science and TechnologyEmployment · Professor, Department of Automation*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🔬**Beijing National Research Center for Information Science and Technology** Beijing · China 2023–2026 · 36 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 2003–2024 · 263 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Automation** Beijing · China 2003–2024 · 241 papers](https://md.research.elamur.ai/free/en/labs/institute-of-automation/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2016–2024 · 109 papers](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🎓**Center for Excellence in Brain Science and Intelligence Technology** Shanghai · China 2016–2023 · 71 papers](https://md.research.elamur.ai/free/en/universities/center-for-excellence-in-brain-science-and-intelligence-technology/) · [🔬**Chinese Academy of Social Sciences** Beijing · China 2008–2023 · 2 papers](https://ror.org/05bxbmy32) · [🎓**Anhui University** Hefei · China 2021–2022 · 2 papers](https://md.research.elamur.ai/free/en/universities/anhui-university/) · [🎓**Harbin Engineering University** Harbin · China 2022 · 2 papers](https://md.research.elamur.ai/free/en/universities/harbin-engineering-university/) · [🎓**Imperial College London** London · United Kingdom 2022 · 2 papers](https://md.research.elamur.ai/free/en/universities/imperial-college-london/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 16 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. 📚 Shelves 8 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 · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [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.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 4 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [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** 5 papers](https://md.research.elamur.ai/free/en/authors/jianhua-tao/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/jianhua-tao/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Pandora's Box or Aladdin's Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language Models](https://md.research.elamur.ai/free/en/papers/wu-2025-pandora-s-box-or-aladdin/)** *(2025 · 19 citations)* RAG is widely used to reduce LLM hallucinations, but real retrieval results are messy. Earlier robustness studies looked at only a few noise types, usually three or fewer, and assumed noise always hurts. This paper builds a broader picture. It defines seven retrieval noise types grounded in linguistics and releases… 2. **[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. 3. **[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. 4. **[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. 5. **[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. 6. **[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. ## All works 10 works of theirs in our library, the most cited first; 6 with a page here, the others link their original until we summarise them. 1. **[CTNet: Conversational Transformer Network for Emotion Recognition ↗](https://doi.org/10.1109/taslp.2021.3049898) IEEE/ACM Transactions on Audio Speech and Language Processing · no summary yet**Zheng Lian, Bin Liu, Jianhua Tao*2021 · 300 citations* 2. **[Half-Truth: A Partially Fake Audio Detection Dataset ↗](https://doi.org/10.21437/interspeech.2021-930) Interspeech (USB) · no summary yet**Jiangyan Yi et al.*2021 · 83 citations* 3. **[Hybrid Network Feature Extraction for Depression Assessment from Speech ↗](https://doi.org/10.21437/interspeech.2020-2396) Interspeech (USB) · no summary yet**Ziping Zhao et al.*2020 · 56 citations* 4. **[ParamE: Regarding Neural Network Parameters as Relation Embeddings for Knowledge Graph Completion ↗](https://doi.org/10.1609/aaai.v34i03.5665) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Feihu Che et al.*2020 · 55 citations* 5. **[Pandora's Box or Aladdin's Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language Models](https://md.research.elamur.ai/free/en/papers/wu-2025-pandora-s-box-or-aladdin/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinyang Wu, Shuai Zhang, Feihu Che, et al.*2025 · 19 citations* 6. **[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/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinyang Wu, Shuo Yang, Yuhao Shen, et al.*2026 · 11 citations* 7. **[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/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jinyang Wu, Guocheng Zhai, Ruihan Jin, et al.*2026 · 8 citations* 8. **[TemplateRL: Structured Template-Guided Reinforcement Learning for LLM Reasoning](https://md.research.elamur.ai/free/en/papers/wu-2026-templaterl-structured-template-guided-reinforcement/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jinyang Wu, Chonghua Liao, Mingkuan Feng, et al.*2026 · 8 citations* 9. **[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/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinyang Wu, Mingkuan Feng, Shuai Zhang, et al.*2026* 10. **[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/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Fengyu Zhang, Bin Liu, Jianhua Tao, et al.*2026* ## Co-authors here 12 of 13 co-authors with a page, the most papers together first. - [Jinyang Wu](https://md.research.elamur.ai/free/en/authors/jinyang-wu/) ×5 - [Shuai Zhang](https://md.research.elamur.ai/free/en/authors/shuai-zhang/) ×5 - [Zhengqi Wen](https://md.research.elamur.ai/free/en/authors/zhengqi-wen/) ×5 - [Mingkuan Feng](https://md.research.elamur.ai/free/en/authors/mingkuan-feng/) ×3 - [Chonghua Liao](https://md.research.elamur.ai/free/en/authors/chonghua-liao/) ×2 - [Feihu Che](https://md.research.elamur.ai/free/en/authors/feihu-che/) ×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 - [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/) - [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/) ×2, [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) - [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 - Interspeech (USB) ×2 - IEEE/ACM Transactions on Audio Speech and Language Processing - Proceedings of the AAAI Conference on Artificial Intelligence ## Cited by Papers of our library cite their works 47 times (of the 149,439 papers whose bibliographies we read); [19 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jianhua-tao/cited-by/). Updated 2 November 2026