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, ICDCS, ICMR, DASFAA, IEEE TSMC, and IEEE TBD.
Research Interests
(Temporal) Graph Clustering, Personalized PageRank, and Spectral Graph Theory for GNN.
[招生信息] : 每年计划招2-5名硕士，分别从事传统算法(比如社区挖掘,Personalized PageRank)和GNN(主要关注可扩展性、时序性及GNN for community search). 欢迎保研或者考研的学生给我发email (longlonglin@swu.edu.cn). 同时长期招收本科生,但有如下(非强制)建议：1.高要求(以发CCF B/中科院二区为目的); 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.
[2024-06] : one paper is submitted to TKDE (CCF-A)
[2024-06] : one paper is submitted to TBD (中科院2区)
[2024-05] : one paper is submitted to CIKM (CCF-B)
[2024-03] : one paper is submitted to VLDB and fortunately obtained a revision (CCF-A)
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.
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)
- 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)
- 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)
- 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 (Oral, CCF-B会议)
- Zeli Wang, Tuo Zhang, Shuyin Xia, Longlong Lin, Guoyin Wang. GBRAIN: Combating Textual Label Noise by Granular-ball Robust Training. ICMR, 2024 (Oral, CCF-B会议)
- Zeli Wang, Jian Li, Shuyin Xia, Longlong Lin, Guoyin Wang. Text Adversarial Defense via Granular-Ball Sample Enhancement. ICMR, 2024 (Oral, CCF-B会议)
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 (Oral) (CCF-A会议)
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 (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 (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 (CCF-B会议)
Work Experience
Zhejiang Lab, Hangzhou, China, July 2023 - Sep 2023.
Academic Services
(External) Conference Reviewer: VLDB 2024, KDD(2021-2022,2024), WWW 2022, AAAI(2022-2024), WSDM 2022, CIKM 2020
Invited Journal Reviewer: IEEE-TKDE, IEEE-TC, IEEE-TSUSC