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Yiliang Zhu 0002

dblp:44/8219-2 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2025
0009-0009-7050-4523ORCID · verified

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

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 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
1 paper
Learning paradigms · 61% Vision and language · 30% Knowledge representation and reasoning · 9%

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

TopicWeightPapersLastEvidence papers
Machine learning › Learning paradigms
continual learning
0.912025
Mitigating the Evolving Semantic Entanglement in Continual Learning of Vision-Language Models · ACM Multimedia 2025
Computer vision › Vision and language
vision-language model
0.912025
Mitigating the Evolving Semantic Entanglement in Continual Learning of Vision-Language Models · ACM Multimedia 2025
Machine learning › Learning paradigms › continual learning › pre-trained model continual learning
vision-language model continual learning
0.912025
Mitigating the Evolving Semantic Entanglement in Continual Learning of Vision-Language Models · ACM Multimedia 2025
Knowledge, reasoning and agents › Knowledge representation and reasoning
semantic representation
0.312025
Mitigating the Evolving Semantic Entanglement in Continual Learning of Vision-Language Models · ACM Multimedia 2025

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

continual learning · 0.9
YearPublicationVenuePosition
2025 Mitigating the Evolving Semantic Entanglement in Continual Learning of Vision-Language Models
Yiliang Zhu 0002, Dayan Wu, Qinghang Su, Zexian Yang, Zheng Lin 0001, Weiping Wang 0005
ACM Multimedia1