Fangyuan Zhang

According to our database, Fangyuan Zhang authored at least 19 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Memory in the LLM Era: Modular Architectures and Strategies in a Unified Framework.

Yanchen Wu, Tenghui Lin, Yingli Zhou, Fangyuan Zhang, Qintian Guo, Xun Zhou, Sibo Wang, Xilin Liu, Yuchi Ma, Yixiang Fang

CoRR, April, 2026

BOTBIN: Accelerated Indexing for Structural Graph Clustering on Dynamic Graphs.

Fangyuan Zhang, Qintian Guo, Junhao Gan, Sibo Wang

IEEE Trans. Knowl. Data Eng., February, 2026

Breaking the Static Graph: Context-Aware Traversal for Robust Retrieval-Augmented Generation.

Kwun Hang Lau, Fangyuan Zhang, Boyu Ruan, Yingli Zhou, Qintian Guo, Ruiyuan Zhang, Xiaofang Zhou

CoRR, February, 2026

2025

LiCoMemory: Lightweight and Cognitive Agentic Memory for Efficient Long-Term Reasoning.

Zhengjun Huang, Zhoujin Tian, Qintian Guo, Fangyuan Zhang, Yingli Zhou, Di Jiang, Xiaofang Zhou

CoRR, November, 2025

AnalyticDB-PG: A Cloud-native High-performance Data Warehouse in Alibaba Cloud.

Fangyuan Zhang, Caihua Yin, Hua Fan, Fenghua Fang, Yineng Chen, Xuqi Wang, Mengqi Wu, Bing Chen, Tianbo Jin, Sibo Wang, Wenchao Zhou, Feifei Li

Proc. VLDB Endow., August, 2025

Streaming View: An Efficient Data Processing Engine for Modern Real-time Data Warehouse of Alibaba Cloud.

Fangyuan Zhang, Mengqi Wu, Chunlei Xu, Yunong Bao, Jiyu Qiao, Yingli Zhou, Hua Fan, Caihua Yin, Wenchao Zhou, Feifei Li

Proc. VLDB Endow., August, 2025

Efficient Dynamic Indexing for Range Filtered Approximate Nearest Neighbor Search.

Fangyuan Zhang, Mengxu Jiang, Guanhao Hou, Jieming Shi, Hua Fan, Wenchao Zhou, Feifei Li, Sibo Wang

Proc. ACM Manag. Data, June, 2025

DIGRA: A Dynamic Graph Indexing for Approximate Nearest Neighbor Search with Range Filter.

Mengxu Jiang, Zhi Yang, Fangyuan Zhang, Guanhao Hou, Jieming Shi, Wenchao Zhou, Feifei Li, Sibo Wang

Proc. ACM Manag. Data, June, 2025

EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora.

Fangyuan Zhang, Zhengjun Huang, Yingli Zhou, Qintian Guo, Zhixun Li, Wensheng Luo, Di Jiang, Yixiang Fang, Xiaofang Zhou

CoRR, June, 2025

Efficient Concurrent Updates to Persistent Randomized Binary Search Trees.

Guanhao Hou, Jinchao Huang, Fangyuan Zhang, Sibo Wang

Proc. VLDB Endow., January, 2025

2024

FICOM: an effective and scalable active learning framework for GNNs on semi-supervised node classification.

Xingyi Zhang, Jinchao Huang, Fangyuan Zhang, Sibo Wang

VLDB J., September, 2024

Efficient Approximation Algorithms for Minimum Cost Seed Selection with Probabilistic Coverage Guarantee.

Chen Feng, Xingguang Chen, Qintian Guo, Fangyuan Zhang, Sibo Wang

Proc. ACM Manag. Data, September, 2024

2023

Scalable Approximate Butterfly and Bi-triangle Counting for Large Bipartite Networks.

Fangyuan Zhang, Dechuang Chen, Sibo Wang, Yin Yang, Junhao Gan

Proc. ACM Manag. Data, December, 2023

Efficient Approximation Framework for Attribute Recommendation.

Xingguang Chen, Fangyuan Zhang, Jinchao Huang, Sibo Wang

Proc. ACM Manag. Data, December, 2023

Efficient Algorithm for Budgeted Adaptive Influence Maximization: An Incremental RR-set Update Approach.

Qintian Guo, Chen Feng, Fangyuan Zhang, Sibo Wang

Proc. ACM Manag. Data, September, 2023

Efficient Dynamic Weighted Set Sampling and Its Extension.

Fangyuan Zhang, Mengxu Jiang, Sibo Wang

Proc. VLDB Endow., 2023

Personalized PageRank on Evolving Graphs with an Incremental Index-Update Scheme.

Guanhao Hou, Qintian Guo, Fangyuan Zhang, Sibo Wang, Zhewei Wei

Proc. ACM Manag. Data, 2023

2022

Effective Indexing for Dynamic Structural Graph Clustering.

Fangyuan Zhang, Sibo Wang

Proc. VLDB Endow., 2022

Efficient Approximate Algorithms for Empirical Variance with Hashed Block Sampling.

Xingguang Chen, Fangyuan Zhang, Sibo Wang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022