About
Longlon Lin is an Associate Professor at Southwest University. 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 CCF-A conferences and journals, including SIGMOD, VLDB, ICDE, KDD, TKDE, AAAI, PPoPP, ASPLOS, and DAC. If you are interested in collaborating with me or would like to have a chat, please feel free to email me.
Research Interests
LLM-based Graph Analysis, Graph Machine Learning, Graph Clustering, and Similarity Search.
[招生信息] : 每年计划招3-5名硕士生，研究 Graph Clustering for LLM、 LLM for Graph Clustering 、Neural Community Mining、Similarity 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; 2.由我亲自指导并给出具体的研究问题和算法框架. 3.科研的周期较长，不做短平快的工作. 优秀的本硕学生可推荐到阿里，华为等大厂实习或国内外top高校继续深造。
Selected Publications
A full list of publications can be found at Google Scholar. Please see my research projects/code on GitHub. * indicates corresponding author. # indicates contributed equally.
2026:
- [32] Zeli Wang, Tianhao Pu, Shuyin Xia*, Longlong Lin*, Linpin Liu, Guoyin Wang. GBDE: Granular-ball Textual Adversarial Attacks with Differential Evolution. IEEE Transactions on Big Data, 2025 (中科院2区) (二作为协助指导的研究生)
- [31] Yinbo Hou, Hao Qi, Ligang He, Jin Zhao, Yu Zhang, Hui Yu, Longlong Lin, Lin Gu, Wenbin Jiang, Xiaofei Liao, Hai Jin. DTMiner: A Data-centric System for Efficient Temporal Motif Mining. PPoPP, 2026 ( CCF-A会议 )
- [30] Jiaqi Jiang, Rong-Hua Li, Longlong Lin, Yalong Zhang, Yue Zeng, Xiaowei Ye, Guoren Wang. Pseudoarboricity-Based Skyline Important Community Search in Large Networks. IEEE Transactions on Knowledge and Data Engineering, 2026 ( CCF-A期刊 ) (一作为协助指导的博士生)
- [29] Yichun Yang, Longlong Lin, Rong-Hua Li, Meihao Liao, Guoren Wang. Theoretically and Practically Efficient Resistance Distance Computation on Large Graphs. VLDB, 2026 ( CCF-A会议 ) (一作为协助指导的博士生)
- [28] Junjie Zhou, Meihao Liao, Rong-Hua Li, Longlong Lin, Guoren Wang. One Index for All: Towards Efficient Personalized PageRank Computation for Every Damping Factor. SIGMOD, 2026 ( CCF-A会议 ) (一作为协助指导的博士生)
2025:
- [27] Longlong Lin, Quanao Li, Miao Qiao, Zeli Wang, Jin Zhao, Rong-Hua Li, Xin Luo, Tao Jia. NCSAC: Effective Neural Community Search via Attribute-augmented Conductance. IEEE Transactions on Knowledge and Data Engineering, 2025 ( CCF-A期刊 ) (二作为独立指导的研究生)
- [26] Zhiqiu Ye, Longlong Lin#, Jie Li, Tao Liu, Zeli Wang. GDBA: Defending Graph Neural Networks via Attribute Debiasing. Expert Systems With Applications, 2025 (中科院一区) (一作为独立指导的本科生)
- [25] Longlong Lin, Xin Luo. Dual Channel Graph Convolutional Networks via Personalized PageRank. IEEE/CAA Journal of Automatica Sinica, 2025 (中科院一区)
- [24] Longlong Lin, Yue He, Wei Chen, Pingpeng Yuan, Rong-Hua Li, Tao Jia. Effective and Efficient Conductance-based Community Search at Billion Scale. IEEE Transactions on Big Data, 2025 (中科院2区) (二作为独立指导的研究生)
- [23] Longlong Lin, Zeli Wang, Rong-Hua Li, Qiyu Liu, Hongchao Qin, Jin Zhao. Provable Higher-order Graph Clustering: the Power of Peeling-based Approaches. IEEE Transactions on Knowledge and Data Engineering, 2025 ( CCF-A期刊 )
- [22] Yalong Zhang, Rong-Hua Li, Longlong Lin, Qi Zhang, Guoren Wang. Integral Densest Subgraph Search on Directed Graphs. SIGMOD, 2025 ( CCF-A会议 ) (一作为协助指导的本科生)
- [21] Hongchao Qin, Guang Zeng, Rong-Hua Li, Longlong Lin, Ye Yuan, Guoren Wang. Truss Decomposition in Hypergraphs. VLDB, 2025 ( CCF-A会议 )
- [20] Qiyu Liu, Siyuan Han, Yanlin Qi, Jingshu Peng, Jin Li, Longlong Lin, Lei Chen. Why Are Learned Indexes So Effective but Sometimes Ineffective? VLDB, 2025 ( CCF-A会议 )
- [19] Xiaoyu Leng, Guang Zeng, Hongchao Qin, Longlong Lin, Rong-Hua Li, On Temporal-Constraint Subgraph Matching. ICDE, 2025 ( CCF-A会议 ) (一作为协助指导的博士生)
- [18] Jin Zhao, Qian Wang, Ligang He, Yu Zhang, Sheng Di, Bingsheng He, Xinlei Wang, Hui Yu, Hao Qi, Longlong Lin, Linchen Yu, Xiaofei Liao, Hai Jin. TempGraph: An Efficient Chain-driven Temporal Graph Computing Framework on the GPU. ASPLOS, 2025 ( CCF-A会议 ).
- [17] Jin Zhao, Yu Zhang, Jun Huang, Weihang Yin, Hui Yu, Hao Qi, Zixiao Wang, Longlong Lin, Xiaofei Liao, Hai Jin. A Data-Centric Hardware Accelerator for Efficient Adaptive Radix Tree. DAC, 2025 ( CCF-A会议 )
- [16] Tao Liu, Longlong Lin*, Yunfeng Yu, Xi Ou, Youan Zhang, Zhiqiu Ye, Tao Jia*. CoATA: Effective Co-Augmentation of Topology and Attribute for Graph Neural Networks. ICMR, 2025 (CCF-B会议) (一作为独立指导的本科生)
2024:
- [15] 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 )
- [14] 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 )
- [13] Yuchen Meng, Rong-Hua Li, Longlong Lin, Xunkai Li, Guoren Wang. Topology-preserving Graph Coarsening: An Elementary Collapse-based Approach. VLDB, 2024 ( CCF-A会议 ) (一作为协助指导的硕士生)
- [12] 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 ) (一作为协助指导的博士生)
- [11] 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) (二作为独立指导的研究生)
- [10] 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) (一作为独立指导的硕士生)
- [9] 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) (一作为独立指导的硕士生)
- [8] 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)
- [7] 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)
2023:
- [6] 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:
- [5] 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)
- [4] Longlong Lin, Pingpeng Yuan, 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)
- [3] 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) (一作为协助指导的硕士士生)
- [2] 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) (一作为协助指导的硕士生)
2019:
- [1] 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)