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| Line 115: |
Line 115: |
| | Large Language Model & multimodal setting | | | Large Language Model & multimodal setting |
| | [Wenfang Wu, wenfang.wu@cs.uni-goettingen.de] | | | [Wenfang Wu, wenfang.wu@cs.uni-goettingen.de] |
| |
| |
| | Yes
| |
| |-
| |
| |-
| |
| | Knowledge Graph Completion
| |
| | What are the Knowledge Graph (KG) requirements for future applications and scenarios? What is the task of Knowledge Graph Completion? What is the correlation between KGs and NLP? How to use popular large language models (LLMs) to assist in the implementation of knowledge graph completion? In this topic, you will learn about KGs and learn to use LLMs to perform a KGC task.
| |
| | Knowledge Graph & NLP
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| | [Tong Shen, shen.tong@cs.uni-goettingen.de]
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| | | | | |
| | Yes | | | Yes |
| Line 147: |
Line 139: |
| | Information Propagation & GCN. | | | Information Propagation & GCN. |
| | [Fei Gao, fei.gao@cs.uni-goettingen.de] | | | [Fei Gao, fei.gao@cs.uni-goettingen.de] |
| |
| |
| | Yes
| |
| |-
| |
| |-
| |
| | Resource Optimization in Edge Computing
| |
| | This topic focuses on designing algorithms to better optimize various resources in edge computing, such as computing resources, storage resources, or network resources to realize a more efficient edge computing system.
| |
| | Task Scheduling & Caching & Flow Scheduling.
| |
| | [Chi Zhang, chi.zhang@cs.uni-goettingen.de]
| |
| | | | | |
| | Yes | | | Yes |