🧑‍🔬 Richang Hong

🏛️ Affiliations

🎓Hefei University of TechnologyHefei · China2011–2026 · 481 paperscurrent🎓University of Science and Technology of ChinaHefei · China2007–2023 · 16 papers🎓National University of SingaporeSingapore · Singapore2009–2011 · 16 papers🎓Zhengzhou UniversityZhengzhou · China2021 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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

📄 Papers

The most cited first (OpenAlex and our library).

1. AMATA: Adaptive Multi-Agent Trajectory Alignment for Knowledge-Intensive Question Answering (2026)
   LLMs answering knowledge-intensive questions often hallucinate and struggle with long-tail facts. Existing multi-agent QA systems are trained in one of three ways: module by module, end to end, or in a global-local scheme. None of these adapts which agents run for a given question or models how agents depend on each…
2. QueueEDIT: Structural Self-Correction for Sequential Model Editing in LLMs (2026)
   Large language models still produce factual errors. Model editing can patch individual facts, but in sequential model editing (SME), where corrections arrive one after another, earlier edits may conflict with new ones and the model's general abilities can degrade. The authors propose QueueEDIT, which combines two…
3. Taming “Zombie” Agents: A Markov State-Aware Framework for Resilient Multi-Agent Evolution (2026)
   LLM-based multi-agent systems often save compute by pruning agents or links from the communication graph. These cuts are permanent. An agent that fails for a moment, through a hallucination or a knowledge gap, is removed even if it could have helped in later rounds. The authors call such agents "zombie" agents. Their…

All works

12 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetLei Chen et al.2020 · 644 citations
2. Adaptive Transfer Network for Cross-Domain Person Re-Identification ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJiawei Liu et al.2019 · 308 citations
3. 3D Human Pose Estimation with Spatio-Temporal Criss-Cross Attention ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetZhenhua Tang et al.2023 · 217 citations
4. Deep Color Consistent Network for Low-Light Image Enhancement ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetZhao Zhang et al.2022 · 156 citations
5. Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization ↗International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yetYonghui Yang et al.2021 · 111 citations
6. Joint Item Recommendation and Attribute Inference ↗International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yetLe Wu et al.2020 · 101 citations
7. Differentiable Cross-modal Hashing via Multimodal Transformers ↗ACM International Conference on Multimedia (ACM MM) · no summary yetJunfeng Tu et al.2022 · 93 citations
8. Play and Rewind ↗ACM International Conference on Multimedia (ACM MM) · no summary yetHanwang Zhang et al.2016 · 89 citations
9. Interaction part mining: A mid-level approach for fine-grained action recognition ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYang Zhou et al.2015 · 77 citations
10. AMATA: Adaptive Multi-Agent Trajectory Alignment for Knowledge-Intensive Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Taolin Zhang, Dongyang Li, Chen Chen, et al.2026
11. QueueEDIT: Structural Self-Correction for Sequential Model Editing in LLMsFindings of the Association for Computational LinguisticsTaolin Zhang, Haidong Kang, Dongyang Li, et al.2026
12. Taming “Zombie” Agents: A Markov State-Aware Framework for Resilient Multi-Agent EvolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Taolin Zhang, Pukun Zhao, Qizhou Chen, et al.2026

🤝 Co-authors here

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

• Chengyu Wang ×3
• Qizhou Chen ×3
• Taolin Zhang ×3
• Xiaofeng He ×3
• Chen Chen ×2
• Dongyang Li ×2
• Jiuheng Wan ×2

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×4
• Annual Meeting of the Association for Computational Linguistics (ACL) ×2: ACL 2026 ×2
• ACM International Conference on Multimedia (ACM MM) ×2
• International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) ×2
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
• Proceedings of the AAAI Conference on Artificial Intelligence

🔗 Cited by

Papers of our library cite their works 16 times (of the 149,439 papers whose bibliographies we read).

Updated 2 November 2026

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