About
Longlon Lin is an Associate Professor at the College of Computer and Information Science, Southwest University, China. He received a Ph.D. from Huazhong University of Science and Technology (HUST), China, in 2022, advised by Prof. Pingpeng Yuan and Prof. Dongxiao yu. Besides, from 2018 to now, his co-supervisor is Prof. Rong-Hua Li from Beijing Institute of Technology. His work has been published in several top conferences and journals including VLDB, KDD, AAAI, CIKM, ICDCS, IEEE TSMC, and IEEE TBD.
Research Interests
Graph Machine Learning、LLM for Graphs、(Temporal) Graph Clustering、Personalized PageRank.
[招生信息] : 每年计划招3-5名硕士，研究Graph Machine Learning(主要关注可扩展性、时序性、鲁棒性、图增强)和传统图算法(比如社区挖掘,图聚类,Personalized PageRank)； 欢迎保研或者考研的学生给我发email (longlonglin@swu.edu.cn). 同时长期招收大一/大二本科生,但有如下要求：1.以培养科研方法论为目的(能发CCF B/中科院二区为佳); 2.由我亲自指导并给出具体的研究问题和算法框架。细节和实验由你独立完成但随时随地可讨论. 3.科研的周期较长，不做短平快的工作.
Selected Publications
A full list of publications can be found at Google Scholar. Please see my research projects/code on GitHub. * indicates the corresponding author and # indicates contributed equally to the research.
2025:
- Yuchen Meng, Rong-Hua Li, Longlong Lin, Xunkai Li, Guoren Wang. Topology-preserving Graph Coarsening: An Elementary Collapse-based Approach. VLDB, 2025 (CCF-A会议)
2024:
- Longlong Lin, Pingpeng Yuan, Rong-Hua Li, Chunxue Zhu, Hongchao Qin, Hai Jin, Tao Jia. QTCS: Efficient Query-Centered Temporal Community Search. Proceedings of the VLDB Endowment, 2024, 17(6):1187-1199 (CCF-A会议)
- Longlong Lin, Tao Jia, Zeli Wang, Jin Zhao, Rong-Hua Li. PSMC: Provable and Scalable Algorithms for Motif Conductance Based Graph Clustering. KDD，2024 (CCF-A会议, Oral)
- Xiaowei Ye, Rong-Hua Li, Lei Liang, Zhizhen Liu, Longlong Lin, Guoren Wang. Efficient and Effective Anchored Densest Subgraph Search: A Convex-programming based Approach. KDD, 2024 (CCF-A会议, Oral)
- Longlong Lin, Yunfeng Yu, Zihao Wang, Zeli Wang, Yuying Zhao, Jin Zhao, Tao Jia. PSNE: Efficient Spectral Sparsification Algorithms for Scaling Network Embedding. CIKM, 2024 (CCF-B会议，二作为指导的研究生)
- Yue He, Longlong Lin*, Pingpeng Yuan, Rong-Hua Li, Tao Jia, Zeli Wang. CCSS: Towards Conductance-based Community Search with Size Constraints. Expert Systems with Applications, 2024 (中科院1区, 一作为指导的研究生)
- Yunfeng Yu, Longlong Lin*, Qiyu Liu, Zeli Wang, Xi Ou, Tao Jia. GSD-GNN: Generalizable and Scalable Algorithms for Decoupled Graph Neural Networks. ICMR, 2024 (CCF-B会议, Oral, 一作为指导的研究生)
- Zeli Wang, Tuo Zhang, Shuyin Xia, Longlong Lin, Guoyin Wang. GBRAIN: Combating Textual Label Noise by Granular-ball Robust Training. ICMR, 2024 (CCF-B会议, Oral)
- Zeli Wang, Jian Li, Shuyin Xia, Longlong Lin, Guoyin Wang. Text Adversarial Defense via Granular-Ball Sample Enhancement. ICMR, 2024 (CCF-B会议, Oral)
- Ziyu Liao, Tao Liu, Yue He, Longlong Lin*. Effective Temporal Graph Learning via Personalized PageRank. Entropy, 2024 (中科院三区，一作为指导的本科生)
2023:
- Longlong Lin, Rong-Hua Li, Tao Jia. Scalable and Effective Conductance-based Graph Clustering. In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), Washington, DC, USA, February 7-14, 2023:4471-4478 (CCF-A会议， Oral)
2022:
- Longlong Lin, Pingpeng Yuan, Rong-Hua Li, Jifei Wang, Ling Liu, Hai Jin. Mining Stable Quasi-Cliques on Temporal Networks. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2022, 52(6):3731-3745 (TSMC, 中科院1区)
- Longlong Lin, Pingpeng Yua, Rong-Hua Li, Hai Jin. Mining Diversified Top-r Lasting Cohesive Subgraphs on Temporal Networks. IEEE Transactions on Big Data, 2022, 8(6): 1537-1549 (TBD, 中科院2区)
- Yifei Zhang#, Longlong Lin#, Pingpeng Yuan, Hai Jin. Significant Engagement Community Search on Temporal Networks. In: Proceedings of Database Systems for Advanced Applications (DASFAA), Virtual Event, April 11–14, 2022:250-258 (CCF-B会议)
- Chunxue Zhu, Longlong Lin, Pingpeng Yuan, Hai Jin. Discovering Cohesive Temporal Subgraphs with Temporal Density Aware Exploration. Journal of Computer Science and Technology, 2022, 37(5):1068-1085 (中科院2区)
2019:
- Pingpeng Yuan, Longlong Lin, Zhijuan Kou, Ling Liu, Hai Jin. Big RDF Data Storage, Computation, and Analysis: A Strawman’s Arguments. In: Proceedings of the International Conference on Distributed Computing Systems (ICDCS), Dallas, TX, USA, July 7-10, 2019:1693-1703 (ICDCS, CCF-B会议)
Work Experience
Zhejiang Lab, Hangzhou, China, July 2023 - Sep 2023, cooperate with Prof. Yu Zhang and Dr. Jin Zhao.
Beijing Institute of Technology, China, July 2024 - Sep 2024, cooperate with Prof. Rong-Hua Li.
Academic Services
(External) Conference Reviewer: VLDB 2024, KDD(2021-2022,2024,2025), WWW 2022, AAAI(2022-2024), WSDM 2022, CIKM 2020
Invited Journal Reviewer: IEEE-TKDE, IEEE-TC, IEEE-TSUSC