Yijiang River Dong

dblp:330/3190 · DBLP profile ↗
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3ranked-venue papers
2as first author
3since 2021 · last 2026
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3 · 2 first-author · 3 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
2 papers
Planning, search and constraint satisfaction · 44% Multi-agent systems · 44% Reinforcement learning · 13%
Network and information security
1 paper
Privacy and data protection · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Multi-agent systems › multi-agent collaboration
LLM-based multi-agent collaboration
1.012026
Privacy-R1: Privacy-Aware Multi-LLM Agent Collaboration via Reinforcement Learning · ACL (1) 2026
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › decision making under uncertainty
value of information
1.012026
Value of Information: A Framework for Human-Agent Communication · ACL (1) 2026
Machine learning › Reinforcement learning
multi-agent reinforcement learning
0.312026
Privacy-R1: Privacy-Aware Multi-LLM Agent Collaboration via Reinforcement Learning · ACL (1) 2026

Methods — techniques the papers use, named apart from their topics

reinforcement learning · 2.0multi-LLM agents · 2.0information theory · 1.0
YearPublicationVenuePosition
2026 Value of Information: A Framework for Human-Agent Communication
abstract
Yijiang River Dong, Tiancheng Hu, Zheng Hui, Caiqi Zhang, Ivan Vulić, Andreea Bobu, Nigel Collier. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.
Yijiang River Dong, Tiancheng Hu, Zheng Hui, Caiqi Zhang, Ivan Vulic, Andreea Bobu, Nigel Collier
ACL (1)1
2026 Privacy-R1: Privacy-Aware Multi-LLM Agent Collaboration via Reinforcement Learning
abstract
Zheng Hui, Yijiang River Dong, Sanhanat Sivapiromrat, Ehsan Shareghi, Nigel Collier. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.
Zheng Hui, Yijiang River Dong, Sanhanat Sivapiromrat, Ehsan Shareghi, Nigel Collier
ACL (1)2
2025 UNDIAL: Self-Distillation with Adjusted Logits for Robust Unlearning in Large Language Models
abstract
Yijiang River Dong, Hongzhou Lin, Mikhail Belkin, Ramon Huerta, Ivan Vulić. Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). 2025.
Yijiang River Dong, Hongzhou Lin, Mikhail Belkin, Ramón Huerta, Ivan Vulic
NAACL (Long Papers)1