Fully Dynamic Broadcasting under SINR. - Dongxiao Yu; Longlong Lin; Yong Zhang 001; Jiguo Yu; Yifei Zou; Qiang-Sheng Hua; Xiuzhen Cheng 001 (IPCCC, 2018)

Big RDF Data Storage, Computation, and Analysis: A Strawman's Arguments. - Pingpeng Yuan; Longlong Lin; Zhijuan Kou; Ling Liu 001; Hai Jin 001 (ICDCS, 2019)

Significant Engagement Community Search on Temporal Networks. - Yifei Zhang; Longlong Lin; Pingpeng Yuan; Hai Jin 001 (DASFAA (1), 2022)

Significant Engagement Community Search on Temporal Networks: Concepts and Algorithms. - Yifei Zhang; Longlong Lin; Pingpeng Yuan; Hai Jin 001 (CoRR, 2022)

Discovering Cohesive Temporal Subgraphs with Temporal Density Aware Exploration. - Chun-Xue Zhu; Longlong Lin; Pingpeng Yuan; Hai Jin 001 (J. Comput. Sci. Technol., 2022)

Mining Diversified Top-$r$r Lasting Cohesive Subgraphs on Temporal Networks. - Longlong Lin; Pingpeng Yuan; Rong-Hua Li; Hai Jin 001 (IEEE Trans. Big Data, 2022)

Mining Stable Quasi-Cliques on Temporal Networks. - Longlong Lin; Pingpeng Yuan; Rong-Hua Li; Jifei Wang; Ling Liu 001; Hai Jin 001 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Scalable and Effective Conductance-Based Graph Clustering. - Longlong Lin; Ronghua Li; Tao Jia 001 (AAAI, 2023)

Query-Centered Temporal Community Search via Time-Constrained Personalized PageRank. - Longlong Lin; Pingpeng Yuan; Rong-Hua Li; Chunxue Zhu; Hongchao Qin; Hai Jin 001; Tao Jia 001 (CoRR, 2023)

PSNE: Efficient Spectral Sparsification Algorithms for Scaling Network Embedding. - Longlong Lin; Yunfeng Yu; Zihao Wang; Zeli Wang; Yuying Zhao; Jin Zhao 003; Tao Jia 001 (CIKM, 2024)

PSMC: Provable and Scalable Algorithms for Motif Conductance Based Graph Clustering. - Longlong Lin; Tao Jia 001; Zeli Wang; Jin Zhao 003; Rong-Hua Li (KDD, 2024)

Efficient and Effective Anchored Densest Subgraph Search: A Convex-programming based Approach. - Xiaowei Ye; Rong-Hua Li; Lei Liang 002; Zhizhen Liu; Longlong Lin; Guoren Wang (KDD, 2024)

Text Adversarial Defense via Granular-Ball Sample Enhancement. - Zeli Wang; Jian Li; Shuyin Xia; Longlong Lin; Guoyin Wang 001 (ICMR, 2024)

GBRAIN: Combating Textual Label Noise by Granular-ball based Robust Training. - Zeli Wang; Tuo Zhang; Shuyin Xia; Longlong Lin; Guoyin Wang 001 (ICMR, 2024)

GSD-GNN: Generalizable and Scalable Algorithms for Decoupled Graph Neural Networks. - Yunfeng Yu; Longlong Lin; Qiyu Liu; Zeli Wang; Xi Ou; Tao Jia 001 (ICMR, 2024)

Why Are Learned Indexes So Effective but Sometimes Ineffective? - Qiyu Liu; Siyuan Han; Yanlin Qi; Jingshu Peng; Jin Li; Longlong Lin; Lei Chen 002 (CoRR, 2024)

Towards Truss-Based Temporal Community Search. - Huihui Yang; Chunxue Zhu; Longlong Lin; Pingpeng Yuan (CoRR, 2024)

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach. - Yichun Yang; Rong-Hua Li; Meihao Liao; Longlong Lin; Guoren Wang (CoRR, 2024)

Fast Biclique Counting on Bipartite Graphs: A Node Pivot-based Approach. - Xiaowei Ye; Rong-Hua Li; Longlong Lin; Shaojie Qiao; Guoren Wang (CoRR, 2024)

CCSS: Towards conductance-based community search with size constraints. - Yue He; Longlong Lin; Pingpeng Yuan; Ronghua Li; Tao Jia 001; Zeli Wang (Expert Syst. Appl., 2024)

QTCS: Efficient Query-Centered Temporal Community Search. - Longlong Lin; Pingpeng Yuan; Rong-Hua Li; Chunxue Zhu; Hongchao Qin; Hai Jin 001; Tao Jia 001 (Proc. VLDB Endow., 2024)

Effective Temporal Graph Learning via Personalized PageRank. - Ziyu Liao; Tao Liu 071; Yue He; Longlong Lin (Entropy, 2024)

Topology-preserving Graph Coarsening: An Elementary Collapse-based Approach. - Yuchen Meng; Ronghua Li; Longlong Lin; Xunkai Li; Guoren Wang (Proc. VLDB Endow., 2024)

CoATA: Effective Co-Augmentation of Topology and Attribute for Graph Neural Networks. - Tao Liu 071; Longlong Lin; Yunfeng Yu; Xi Ou; Youan Zhang; Zhiqiu Ye; Tao Jia 001 (ICMR, 2025)

Truss Decomposition in Hypergraphs. - Hongchao Qin; Guang Zeng 001; Ronghua Li; Longlong Lin; Ye Yuan 001; Guoren Wang (Proc. VLDB Endow., 2025)

Integral Densest Subgraph Search on Directed Graphs. - Yalong Zhang; Rong-Hua Li; Longlong Lin; Qi Zhang 010; Lu Qin 001; Guoren Wang (Proc. ACM Manag. Data, 2025)

Provable Higher-Order Graph Clustering: The Power of Peeling-Based Approaches. - Longlong Lin; Zeli Wang; Rong-Hua Li; Qiyu Liu; Hongchao Qin; Jin Zhao 003 (IEEE Trans. Knowl. Data Eng., 2025)

GDBA: Defending graph neural networks via attribute debiasing. - Zhiqiu Ye; Longlong Lin; Jie Li; Tao Liu 071; Zeli Wang (Expert Syst. Appl., 2026)