Peng Fang

Orcid: 0000-0003-4741-9282

Affiliations:
  • Huazhong University of Science and Technology, Wuhan, China


According to our database1, Peng Fang authored at least 22 papers between 2016 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
A survey of social network alignment methods based on graph representation learning.
Frontiers Comput. Sci., June, 2026

Terark-DS: A High-Performance and Storage-Efficient Key-Value Separation Storage Engine on Disaggregated Storage.
Proc. VLDB Endow., January, 2026

Characterizing the Evolution of Inter-Actor Networks in the South China Sea Arbitration via Entropy-Driven Graph Representation Learning from Massive Media Event Data.
Entropy, 2026

TokaDB: A Unified Storage Engine for Training-Serving Data Management in Large Recommendation Models.
Proceedings of the Companion of the International Conference on Management of Data, 2026

2025
Scavenger+: Revisiting Space-Time Tradeoffs in Key-Value Separated LSM-Trees.
IEEE Trans. Computers, October, 2025

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models.
CoRR, April, 2025

Information-Oriented Random Walks and Pipeline Optimization for Distributed Graph Embedding.
IEEE Trans. Knowl. Data Eng., January, 2025

SpiderCache: Semantic-Aware Caching Strategy for DNN Training.
Proceedings of the 54th International Conference on Parallel Processing, 2025

OMeGa: Boosting Large-scale Graph Embeddings with Heterogeneous Memory Processing.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024
A disk I/O optimized system for concurrent graph processing jobs.
Frontiers Comput. Sci., June, 2024

Scavenger: Better Space-Time Trade-Offs for Key-Value Separated LSM-trees.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
How to Realize Efficient and Scalable Graph Embeddings via an Entropy-Driven Mechanism.
IEEE Trans. Big Data, February, 2023

Distributed Graph Embedding with Information-Oriented Random Walks.
Proc. VLDB Endow., 2023

SOWalker: An I/O-Optimized Out-of-Core Graph Processing System for Second-Order Random Walks.
Proceedings of the 2023 USENIX Annual Technical Conference, 2023

2022
An efficient memory data organization strategy for application-characteristic graph processing.
Frontiers Comput. Sci., 2022

GraphSD: A State and Dependency aware Out-of-Core Graph Processing System.
Proceedings of the 51st International Conference on Parallel Processing, 2022

2021
GraphCP: An I/O-Efficient Concurrent Graph Processing Framework.
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021

HuGE: An Entropy-driven Approach to Efficient and Scalable Graph Embeddings.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020
HOSA: Fast Distributed Triangle Enumerating On Tera-Edge Graphs.
Proceedings of the HPCCT & BDAI 2020: 4th High Performance Computing and Cluster Technologies Conference & 3rd International Conference on Big Data and Artificial Intelligence, 2020

2017
Does ideology affect the tone of international news coverage?
Proceedings of the 2017 International Conference on Behavioral, 2017

2016
Identifying Political "hot" Spots Through Massive Media Data Analysis.
Proceedings of the Social, Cultural, and Behavioral Modeling, 9th International Conference, 2016


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