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 8Computer Science · 6 works Artificial Intelligence · 6 works Arts and Humanities · 4 works Language and Linguistics · 4 works Computer Vision and Pattern Recognition · 4 works Information Systems · 1 work Experimental and Cognitive Psychology · 1 work Psychology · 1 work

🧭 Topics 4Language models & pretraining · 3 works Reasoning · 4 works Sentiment & emotion · 1 work Vision & language · 1 work

Works by year

2020s

20265 papers 20251 paper

Papers

The most cited first (OpenAlex and our library).

Pandora's Box or Aladdin's Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language Models (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…
SPARK: Strategic Policy-Aware Exploration via Dynamic Branching for Long-Horizon Agentic Learning (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.
ATLAS: Orchestrating Heterogeneous Models and Tools for Multi-Domain Complex Reasoning (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.
TemplateRL: Structured Template-Guided Reinforcement Learning for LLM Reasoning (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.
Beyond Examples: Towards Automated Thought-level In-Context Reasoning for Large Language Models (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.
CAIR: Causal Adaptive Information-based Reinforcement Learning for Multimodal Emotion Reasoning (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.

CTNet: Conversational Transformer Network for Emotion Recognition ↗IEEE/ACM Transactions on Audio Speech and Language Processing · no summary yetZheng Lian, Bin Liu, Jianhua Tao2021 · 300 citations
Half-Truth: A Partially Fake Audio Detection Dataset ↗Interspeech (USB) · no summary yetJiangyan Yi et al.2021 · 83 citations
Hybrid Network Feature Extraction for Depression Assessment from Speech ↗Interspeech (USB) · no summary yetZiping Zhao et al.2020 · 56 citations
ParamE: Regarding Neural Network Parameters as Relation Embeddings for Knowledge Graph Completion ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetFeihu Che et al.2020 · 55 citations
Pandora's Box or Aladdin's Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jinyang Wu, Shuai Zhang, Feihu Che, et al.2025 · 19 citations
SPARK: Strategic Policy-Aware Exploration via Dynamic Branching for Long-Horizon Agentic LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Jinyang Wu, Shuo Yang, Yuhao Shen, et al.2026 · 11 citations
ATLAS: Orchestrating Heterogeneous Models and Tools for Multi-Domain Complex ReasoningFindings of the Association for Computational LinguisticsJinyang Wu, Guocheng Zhai, Ruihan Jin, et al.2026 · 8 citations
TemplateRL: Structured Template-Guided Reinforcement Learning for LLM ReasoningFindings of the Association for Computational LinguisticsJinyang Wu, Chonghua Liao, Mingkuan Feng, et al.2026 · 8 citations
Beyond Examples: Towards Automated Thought-level In-Context Reasoning for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jinyang Wu, Mingkuan Feng, Shuai Zhang, et al.2026
CAIR: Causal Adaptive Information-based Reinforcement Learning for Multimodal Emotion ReasoningFindings of the Association for Computational LinguisticsFengyu Zhang, Bin Liu, Jianhua Tao, et al.2026

Co-authors here

12 of 13 co-authors with a page, the most papers together first.

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) ×3: ACL 2026 ×2, ACL 2025
Findings of the Association for Computational Linguistics ×3: Findings of the Association for Computational Linguistics 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 →.

Updated 2 November 2026

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🧑‍🔬 Jianhua Tao

🏛️ Affiliations

🧭 Fields, topics and concepts

📅 Works by year

2020s

📄 Papers

All works

🤝 Co-authors here

Venues

🔗 Cited by

Jianhua Tao

Affiliations

Fields, topics and concepts

Works by year

Papers

Co-authors here

Cited by