基本信息
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个人简介
My research interest is machine learning for Information Retrieval, Processing, Generation, and Protection. My recent topics include but are not limited to:
Graph data mining and learning problems, e.g., Graph-empowered LLMs, GNNs, self-supervised graph learning.
AI for biological and scientific problems, e.g., retrosynthesis prediction, protein representation learning.
Data generation problems, e.g., generative models, watermarking techniques.
Optimization over IR models, e.g., knowledge graph supplementary, quantization.
AI4DB problems, e.g., ANN search and optimization for vector database, motif prediction.
Graph data mining and learning problems, e.g., Graph-empowered LLMs, GNNs, self-supervised graph learning.
AI for biological and scientific problems, e.g., retrosynthesis prediction, protein representation learning.
Data generation problems, e.g., generative models, watermarking techniques.
Optimization over IR models, e.g., knowledge graph supplementary, quantization.
AI4DB problems, e.g., ANN search and optimization for vector database, motif prediction.
研究兴趣
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AAAI 2024no. 8 (2024): 8302-8310
AAAI 2024no. 5 (2024): 4614-4622
CoRR (2023): 3164-3172
ICML 2023 (2023): 39639-39659
KDDpp.3422-3433, (2023)
SSRN Electronic Journal (2023): 101909-101909
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D-Core
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