Dong Pan (潘东)

My name is Dong Pan, a Ph.D. student at Hunan University. I am supervised by Prof. Xu Zhou and Prof. Kenli Li. In addition, I have benefited from valuable guidance and support from Wensheng Luo, Prof. Chenhao Ma, and Prof. Qing Liu on graph data processing. I have also collaborated with Quanqing Xu on research in AI for databases (AI4DB).

My research focuses on:

1. cohesive subgraph mining, including maximum k-biplex search and structural clustering over graphs and hypergraphs;
2. accelerating graph processing with FPGA and HLS, including FPGA-based maximum $k$-biplex search;
3. AI4DB, including reinforcement learning-based index selection and learned query cost estimation.

Recently, I have also developed a growing interest in the intersection of graph techniques and large language models (LLMs), such as leveraging graphs for retrieval-augmented generation (RAG), agent memory organization, and AI-driven graph analytics. This is likely to be one of my future research directions.

I am actively seeking a postdoctoral position.

News

• I’m invited to serve as a reviewer for KDD 2026 (AI4Science Track)!
• I give a talk titled “Efficient Structural Clustering over Hypergraphs” at the Data Science Parallel Forum of the First Doctoral/Postdoctoral Boyue Academic Forum of CUHK-Shenzhen and the 2025 Shenzhen Postdoctoral Academic Annual Conference!
• Our paper “Efficient Structural Clustering over Hypergraphs” has been accepted by ICDE 2025!
• Our paper “Accelerating Maximum Biplex Search over Large Bipartite Graphs” has been accepted by the VLDB Journal!