🙋🏻‍♂️ About Me

I am currently a Postdoctoral Research Fellow at both the Data Storage and Application Lab (DSAL) of Huazhong University of Science and Technology (HUST), under the supervision of Prof. Dan Feng, and at the Database System of National University of Singapore (NUS), where I work with Prof. Bengchin Ooi. I received my Ph.D. at HUST in September 2023, supervised by Prof. Fang Wang. During my Ph.D., I was also a joint Ph.D. student at Nanyang Technological University (NTU) in Singapore, under the supervision of Prof. Arijit Khan and Prof. Siqiang Luo.

🔬 Research Interest

My research interests include System4AI with a particular focus on developing high-performance AI systems on heterogeneous resources. If you are interested in any form of academic cooperation, please feel free to email me at fangpeng@hust.edu.cn.

🔥 News

• 2026.02: 🎉 Our paper about a unified storage engine for training-serving data management in LRM has been accepted by SIGMOD 2026! Congrats to Kelei and Mingming!
• 2025.12: ✋ I am honored to serve as a Program Committee member for Demo track of DASFAA 2026!
• 2025.11: 🎉 Our paper about high-performance and storage-efficient Key-Value separation storage engine on disaggregated storage has been accepted by VLDB 2026! Congrats to Jianshun and Xun!
• 2025.10: 🎖️ Our project “AI Compute-In-Memory Integrated Basic Software and Hardware System” won the Silver Award in the 3rd China Postdoctoral Innovation & Entrepreneurship Competition!
• 2025.08: 🎖️ Our paper on “Graph×AI: An Information-driven High Performance AI System with Heterogeneous Resources” has been awarded the Best Paper Poster Award in CCF China Storage Conference 2025!
• 2025.08: 🎉 Our paper on the integrating CoT and RAG to enhance LLMs reasoning has been accepted by EMNLP 2025! Congrats to Feiyang!
• 2025.08: ✋ I am honored to serve as a Program Committee member for ADC 2025!
• 2025.06: 🎉 Our paper on the space-time tradeoffs in key-value separated LSM-trees has been accepted by IEEE TC! Congrats to Jianshun!
• 2025.06: 🎉 Our paper on the semantic-aware caching strategy for DNN Training has been accepted by ICPP 2025! Congrats to Zesong!
• 2025.05: 🎉 Our paper on the survey of social network alignment methods based on graph representation learning has been accepted by FCS! Congrats to Yutong and Feiyang!
• 2025.05: ✋ I am honored to serve as a Program Committee member for ICDE 2026!
• 2025.03: 🎉 Our paper on bosting large-scale graph embeddings with heterogeneous memory processing has been accepted by ICDE 2025! Congrats to co-authors!
• 2025.03: ✋ I am honored to serve as a Program Committee member for LLM+Graph workshop, co-located with the VLDB 2025!

📝 Publications

Peng Fang, Kelei Guo, Cheng Chen, Wei Zhang, Mingming Chen, Huaye Xu, Borong Meng, Zongjia Chen, Mingshuai Wang, Luping Wang, Yuan Zhang, Shiru Ren, Fang Wang, Dan Feng. TokaDB: A Unified Storage Engine for Training-Serving Data Management in Large Recommendation Models, In: Proceedings of the 2026 ACM Conference on Management of Data, SIGMOD 2026 (Accepted).

Jianshun Zhang, Xun Deng, Fang Wang, Jiaxin Ou, Yi Wang, Hao Wang, Jianjun Chen, Peng Fang*, Dan Feng. Terark-DS: A High-Performance and Storage-Efficient Key-Value Separation Storage Engine on Disaggregated Storage. In: Proceedings of the 52th International Conference on Very Large Data Bases, VLDB 2026.

Peng Fang, Siqiang Luo, Fang Wang, Bolong Zheng, Hong Jiang, Dan Feng, Hechang Pan, Xingyu Wan. OMeGa: Boosting Large-scale Graph Embeddings with Heterogeneous Memory Processing. In: Proceedings of the 41th IEEE International Conference on Data Engineering, ICDE 2025.

Peng Fang, Zhenli Li, Arijit Khan, Siqiang Luo, Fang Wang, Dan Feng. Information-Oriented Random Walks and Pipeline Optimization for Distributed Graph Embedding, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2025, 37(1): 408-422.

Jianshun Zhang, Fang Wang, Jiaxin Ou, Yi Wang, Ming Zhao, Sheng Qiu, Junxun Huang, Baoquan Li, Peng Fang*, Dan Feng. Scavenger+: Revisiting Space-Time Tradeoffs in Key-Value Separated LSM-trees. IEEE Transactions on Computers (IEEE TC), 2025, 74(10): 3332-3346.

Zesong Wang, Peng Fang*, Fang Wang, Hong Jiang, Yiming Lu, Zhan Shi, Dan Feng. SpiderCache: Semantic-Aware Caching Strategy for DNN Training. ICPP 2025.

Feiyang Li, Peng Fang*, Zhan Shi, Arijit Khan, Fang Wang, Weihao Wang, Xin Zhang, Yongjian Cui. CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models. EMNLP Findings 2025.

Yutong Wu, Feuyang Li, Zhan Shi, Zhipeng Tian, Wang Zhang, Peng Fang, Renzhi Xiao, Fang Wang, Dan Feng. A survey of social network alignment methods based on graph representation learning. Frontiers of Computer Science (FCS), 2025.

Jianshun Zhang, Fang Wang, Sheng Qiu, Yi Wang, Jiaxin Ou, Junxun Huang, Baoquan Li, Peng Fang*, Dan Feng. Scavenger: Better Space-Time Trade-Offs for Key-Value Separated LSM-trees. In: Proceedings of the 40th IEEE International Conference on Data Engineering, ICDE 2024.

Xianghao Xu, Fang Wang, Hong Jiang, Yongli Cheng, Dan Feng, Peng Fang. A Disk I/O Optimized System for Concurrent Graph Processing Jobs. Frontiers of Computer Science (FCS), 2024.

Peng Fang, Arijit Khan, Siqiang Luo, Fang Wang, Dan Feng, Zhenli Li, Wei Yin, Yuchao Cao. Distributed Graph Embedding with Information-Oriented Random Walks. In: Proceedings of the 49th International Conference on Very Large Data Bases, VLDB 2023.

Peng Fang, Fang Wang, Zhan Shi, Hong Jiang, Dan Feng, Xianghao Xu, Wei Yin. How to Realize Efficient and Scalable Graph Embeddings via an Entropy-driven Mechanism. IEEE Transactions on Big Data (IEEE TBD), 2023, 9(1): 358-371.

Yutong Wu, Zhan Shi, Shicai Huang, Zhipeng Tian, Pengwei Zuo, Peng Fang, Fang Wang, Dan Feng. SOWalker: An I/O-Optimized Out-of-Core Graph Processing System for Second-Order Random Walks. In: Proceedings of the 2023 USENIX Annual Technical Conference, USENIX ATC 2023.

Peng Fang, Fang Wang, Zhan Shi, Dan Feng, Qianxu. Yi, Xianghao Xu, Yongxuan Zhang. An Efficient Memory Data Organization Strategy for Application-Characteristic Graph Processing. Frontiers of Computer Science (FCS), 2022.

Xianghao Xu, Fang Wang, Hong Jiang, Yongli Cheng, Peng Fang. GraphSD: A State and Dependency aware Out-of-Core Graph Processing System. In: Proceedings of the 51st International Conference on Parallel Processing, ICPP 2022.

Peng Fang, Fang Wang, Zhan Shi, Hong Jiang, Dan Feng, Lei Yang. HuGE: An Entropy-Driven Approach to Efficient and Scalable Graph Embeddings. In: Proceedings of the 37th IEEE International Conference on Data Engineering, ICDE 2021.

Xianghao Xu, Fang Wang, Hong Jiang, Yongli Cheng, Dan Feng, Yongxuan Zhang, Peng Fang. GraphCP: An I/O-Efficient Concurrent Graph Processing Framework. In: IEEE/ACM 29th International Symposium on Quality of Service, IWQoS 2021.

Yongxuan Zhang, Fang Wang, Feng Dan, Xianghao Xu, Peng Fang. HOSA: Fast Distributed Triangle Enumerating on Tera-Edge Graphs. In: Proceedings of the 4th High Performance Computing and Cluster Technologies Conference, HPCCT 2020.

Jianbo Gao, Peng Fang, Lihua Yuan. Analyses of geographical observations in the Heihe River Basin: Perspectives from complexity theory. Journal of Geographical Sciences, 2019, 29(9):1441-1461.

Peng Fang, Menglan Ma, Jianbo Gao. Dynamic Evolution of Multinational Relation’s Network in the South China Sea Arbitration Based on Massive Media Data Analysis. PCMM 2018.

Jianbo Gao, Peng Fang, Feiyan Liu. Empirical scaling law connecting persistence and severity of global terrorism. Physica A Statistical Mechanics & Its Applications, 2017, 482.

Menglan Ma, Peng Fang, Jianbo Gao, Changqing Song. Does ideology affect the tone of international news coverage? IEEE BESC 2017 (Best Paper Award, 10th Anniversary Research Contribution Award).

Peng Fang, Jianbo Gao, Fangli Fan, Luhai Yang. Identifying Political “hot” Spots Through Massive Media Data Analysis. SBP-BRiMS 2016, Washington, DC, USA, 2016: 282-290.

🎖️ Honors and Awards

• 2025: Silver Award in the 3rd China Postdoctoral Innovation & Entrepreneurship Competition
• 2025: Best Paper Poster Award in 2025 CCF China Storage Conference
• 2024: Doctoral Dissertation Award Nominee in CCF Information Storage Technology
• 2024: BESC 10th Anniversary Research Contribution Award
• 2022: China Optics Valley Rising Star Scholarship
• 2017: National Scholarship for Graduate Students
• 2017: Best Paper Award in BESC 2017

🌟 Talks and Presentations

• 2025.12, The 2025 CCF China Data Conference, “Graph×AI: Graph-powered High-Performance AI Systems”, Guiyang, China
• 2025.05, The 41th IEEE International Conference on Data Engineering (ICDE 2025), “OMeGa: Boosting Large-scale Graph Embeddings with Heterogeneous Memory Processing”, Hong Kong SAR, China
• 2024.08, National Postdoctoral Academic Forum on Intelligent Computing, “Efficient and Scalable Large-scale Graph Learning Systems”, Hangzhou, China
• 2023.09, The 29th National Conference on Information Storage Technology (NCIS 2023) Outstanding Ph.D. Student Forum, “Information-Oriented Random Walks for Large-Scale Graph Representation Learning”, Guangzhou, China
• 2023.08, The 49th International Conference on Very Large Data Bases (VLDB 2023), “Distributed Graph Embedding with Information-Oriented Random Walks”, Vancouver, Canada
• 2021.04, The 37th IEEE International Conference on Data Engineering (ICDE 2021), “HuGE: An Entropy-Driven Approach to Efficient and Scalable Graph Embeddings”, Chania, Greece
• 2016.07, The 9th International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS 2016), “Identifying Political “hot” Spots Through Massive Media Data Analysis”, Washington, DC, USA

👨‍🏫 Services

Conference Services

• IEEE International Conference on Data Engineering (ICDE PC member for 2026, 2025 Demonstration Track, 2023 TKDE Poster Track)

• International Conference on Extending Database Technology (EDBT PC member for 2026)

• Australasian Database Conference (ADC PC member for 2025)

• International Conference on Very Large Data Bases (PVLDB PC member for 2025 LLM+Graph Workshop, 2024 LLM+KG Workshop, 2022 External Expert)

• International Conference on Database Systems for Advanced Applications (DASFAA Demo Track PC member for 2026)

• Conference of ACM Special Interest Group on Management of Data (SIGMOD PC member for 2026 External Expert)

• International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation. (SBP-BRiMS PC member for 2020, 2022, 2023, 2024)

Journal Services

• IEEE Transactions on Knowledge and Data Engineering (TKDE)
• IEEE Transactions on Computers (TC)
• International Journal on Very Large Databases (VLDBJ)
• ACM Transactions on Storage (TOS)
• Pattern Recognition
• The Journal of Supercomputing