Publications

Selected Publications

A full list of publications can be found at Google Scholar.

2026

• Zhixuan Chen, Xinyu Liu, Longlong Lin, Tao Jia. Effective and Efficient Temporal Graph Neural Networks via Polynomial Spectral Sparsification. IEEE TII, 2026. 中科院一区 ACCEPT
  Cite

  @article{chen2026effective,
    title={Effective and Efficient Temporal Graph Neural Networks via Polynomial Spectral Sparsification},
    author={Chen, Zhixuan and Liu, Xinyu and Lin, Longlong and Jia, Tao},
    journal={IEEE Transactions on Industrial Informatics},
    year={2026},
    publisher={IEEE}
  }

• Xi Ou, Longlong Lin, Zeli Wang, Pingpeng Yuan, Rong-Hua Li. Scalable Similarity Search over Large Attributed Bipartite Graphs. IEEE TKDE, 2026. CCF-A期刊
  Cite

  @ARTICLE{11450516,
    author={Ou, Xi and Lin, Longlong and Wang, Zeli and Yuan, Pingpeng and Li, Rong-Hua},
    journal={IEEE Transactions on Knowledge and Data Engineering}, 
    title={Scalable Similarity Search Over Large Attributed Bipartite Graphs}, 
    year={2026},
    volume={38},
    number={5},
    pages={3080-3094}
  }

• Zeli Wang, Jie Li, Zhiqiu Ye, Longlong Lin, Mengdi Wang, Guoyin Wang. Attribute-augmented PPR Meets Self-loops: Simple yet Effective Defending Graph Neural Networks. IEEE/CAA JAS, 2026. 中科院一区 ACCEPT
• Yinbo Hou, Hao Qi, Jin Zhao, Yu Zhang, Yiling Lu, Hui Yu, Longlong Lin, Wenbin Jiang, Xiaofei Liao, Hai Jin. A Locality-Aware Temporal Motif Mining Accelerator with Chunk-Based Search Tree Expansion. DAC, 2026. CCF-A会议
  Cite

  @inproceedings{hou2026locality,
    title={A Locality-Aware Temporal Motif Mining Accelerator with Chunk-Based Search Tree Expansion},
    author={Hou, Yinbo and Qi, Hao and Zhao, Jin and Zhang, Yu and Lu, Yiling and Yu, Hui and Lin, Longlong and Jiang, Wenbin and Liao, Xiaofei and Jin, Hai},
    booktitle={Proceedings of the 63rd IEEE/ACM Design Automation Conference},
    year={2026}
  }

• Zeli Wang, Yifan Guan, Longlong Lin, Guoyin Wang. GFork: A Gated Fusion Network on Multi-granularity Heterogeneous Pruning Graphs for Effective Text Classification. Expert Systems With Applications, 2026. 中科院一区
  Cite

  @article{WANG2026131587,
    title = {GFork: A gated fusion network on multi-granularity heterogeneous pruning graphs for effective text classification},
    journal = {Expert Systems with Applications},
    volume = {313},
    pages = {131587},
    year = {2026},
    author = {Zeli Wang and Yifan Guan and Longlong Lin and Guoyin Wang},
  }

• Li Ni, Shuaikang Zeng, Lin Mu, Longlong Lin. From Representation to Clusters: A Contrastive Learning Approach for Attributed Hypergraph Clustering. WWW, 2026. CCF-A会议 Oral
  Cite

  @inproceedings{ni2026cahc,
    title={From Representation to Clusters: A Contrastive Learning Approach for Attributed Hypergraph Clustering},
    author={Ni, Li and Zeng, Shuaikang and Mu, Lin and Lin, Longlong},
    booktitle={Proceedings of the ACM Web Conference 2026 (WWW '26)},
    year={2026}
  }

• Longlong Lin, Zeli Wang, Rong-Hua Li, Xiaohai Dai, Li Ni, Jin Zhao. Scalable and Provable Biclique-Preserving Clustering: The Power of Counting-based Approaches. WWW, 2026. CCF-A会议
  Cite

  @inproceedings{10.1145/3774904.3792116,
    author = {Lin, Longlong and Wang, Zeli and Li, Rong-Hua and Dai, Xiaohai and Ni, Li and Zhao, Jin},
    title = {Scalable and Provable Biclique-Preserving Clustering: The Power of Counting-based Approaches},
    year = {2026},
    booktitle = {WWW},
    pages = {559–570},
  }

• 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 ACCEPT
  Cite

  @ARTICLE{11300948,
    author={Wang, Zeli and Pu, Tianhao and Xia, Shuyin and Lin, Longlong and Liu, Linpin and Wang, Guoyin},
    journal={IEEE Transactions on Big Data}, 
    title={GBDE: Granular-Ball Textual Adversarial Attacks With Differential Evolution}, 
    year={2025},
    volume={},
    number={},
    pages={1-12},
    doi={10.1109/TBDATA.2025.3644670}}

• 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
  Cite

  @inproceedings{hou2026dtminer,
    title={DTMiner: A Data-centric System for Efficient Temporal Motif Mining},
    author={Hou, Yinbo and Qi, Hao and He, Ligang and Zhao, Jin and Zhang, Yu and Yu, Hui and Lin, Longlong and Gu, Lin and Jiang, Wenbin and Liao, Xiaofei and Jin, Hai},
    booktitle={Proceedings of the 31st ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming},
    year={2026}
  }

• 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 TKDE, 2026. CCF-A期刊
  Cite

  @ARTICLE{11237000,
    author={Jiang, Jiaqi and Li, Rong-Hua and Lin, Longlong and Zhang, Yalong and Zeng, Yue and Ye, Xiaowei and Wang, Guoren},
    journal={IEEE Transactions on Knowledge and Data Engineering}, 
    title={Pseudoarboricity-Based Skyline Important Community Search in Large Networks}, 
    year={2026},
    volume={38},
    number={2},
    pages={1264-1279},
  }

• 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 ACCEPT
  Cite

  @article{yang2026theoretically,
    title={Theoretically and Practically Efficient Resistance Distance Computation on Large Graphs},
    author={Yang, Yichun and Lin, Longlong and Li, Rong-Hua and Liao, Meihao and Wang, Guoren},
    journal={arXiv preprint arXiv:2601.11159},
    year={2026}
  }

• 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
  Cite

  @article{zhou2025one,
    title={One Index for All: Towards Efficient Personalized PageRank Computation for Every Damping Factor},
    author={Zhou, Junjie and Liao, Meihao and Li, Rong-Hua and Lin, Longlong and Wang, Guoren},
    journal={Proceedings of the ACM on Management of Data},
    volume={3},
    number={4},
    pages={1--26},
    year={2025}
  }

• Longlong Lin, Xin Luo. Dual Channel Graph Convolutional Networks via Personalized PageRank. IEEE/CAA JAS, 2026. 中科院一区
  Cite

  @article{JAS-2024-1582,
    author={Longlong Lin and Xin Luo},
    title={Dual Channel Graph Convolutional Networks via Personalized PageRank},
    journal={IEEE/CAA Journal of Automatica Sinica}, 
    volume={13},  
    number={1},
    pages={221-223},
    year={2026},
  }

2025

• 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 TKDE, 2025. CCF-A期刊
  Cite

  @ARTICLE{11235568,
    author={Lin, Longlong and Li, Quanao and Qiao, Miao and Wang, Zeli and Zhao, Jin and Li, Rong-Hua and Luo, Xin and Jia, Tao},
    journal={IEEE Transactions on Knowledge and Data Engineering}, 
    title={NCSAC: Effective Neural Community Search via Attribute-Augmented Conductance}, 
    year={2026},
    volume={38},
    number={2},
    pages={1221-1235},
  }

• 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
  Cite

  @article{DBLP:journals/eswa/YeLLLW26,
    author = {Zhiqiu Ye and Longlong Lin and Jie Li and Tao Liu and Zeli Wang},
    title = {{GDBA:} Defending graph neural networks via attribute debiasing},
    journal = {Expert Syst. Appl.},
    volume = {296},
    pages = {128983},
    year = {2026}
  }

• 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
  Cite

  @article{DBLP:journals/tbd/LinHCYLJ25,
    author = {Longlong Lin and Yue He and Wei Chen and Pingpeng Yuan and Rong-Hua Li and Tao Jia},
    title = {Effective and Efficient Conductance-Based Community Search at Billion Scale},
    journal = {{IEEE} Trans. Big Data},
    volume = {11},
    number = {6},
    pages = {3170--3184},
    year = {2025},
  }

• 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 TKDE, 2025. CCF-A期刊
  Cite

  @article{DBLP:journals/tkde/LinWLLQZ25,
    author = {Longlong Lin and Zeli Wang and Rong-Hua Li and Qiyu Liu and Hongchao Qin and Jin Zhao},
    title = {Provable Higher-Order Graph Clustering: The Power of Peeling-Based Approaches},
    journal = {{IEEE} Trans. Knowl. Data Eng.},
    volume = {37},
    number = {9},
    pages = {5568--5583},
    year = {2025},
  }

• Yalong Zhang, Rong-Hua Li, Longlong Lin, Qi Zhang, Guoren Wang. Integral Densest Subgraph Search on Directed Graphs. SIGMOD, 2025. CCF-A会议
  Cite

  @article{DBLP:journals/pacmmod/ZhangLLZQW25,
    author = {Yalong Zhang and Rong-Hua Li and Longlong Lin and Qi Zhang and Lu Qin and Guoren Wang},
    title = {Integral Densest Subgraph Search on Directed Graphs},
    journal = {Proc. {ACM} Manag. Data},
    volume = {3},
    number = {3},
    pages = {176:1--176:26},
    year = {2025}
  }

• Hongchao Qin, Guang Zeng, Rong-Hua Li, Longlong Lin, Ye Yuan, Guoren Wang. Truss Decomposition in Hypergraphs. VLDB, 2025. CCF-A会议
  Cite

  @article{qin2025truss,
    title={Truss Decomposition in Hypergraphs},
    author={Qin, Hongchao and Zeng, Guang and Li, Rong-Hua and Lin, Longlong and Yuan, Ye and Wang, Guoren},
    journal={Proceedings of the VLDB Endowment},
    volume={18},
    number={7},
    pages={2185--2197},
    year={2025},
  }

• 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
  Cite

  @article{liu2025learned,
    title={Why Are Learned Indexes So Effective but Sometimes Ineffective?},
    author={Liu, Qiyu and Han, Siyuan and Qi, Yanlin and Peng, Jingshu and Li, Jin and Lin, Longlong and Chen, Lei},
    journal={Proceedings of the VLDB Endowment},
    volume={18},
    year={2025}
  }

• Xiaoyu Leng, Guang Zeng, Hongchao Qin, Longlong Lin, Rong-Hua Li. On Temporal-Constraint Subgraph Matching. ICDE, 2025. CCF-A会议
  Cite

  @inproceedings{DBLP:conf/icde/LengZQLL25,
    author = {Xiaoyu Leng and Guang Zeng and Hongchao Qin and Longlong Lin and Rong-Hua Li},
    title = {On Temporal-Constraint Subgraph Matching},
    booktitle = {ICDE},
    pages = {2493--2506},
    year = {2025},
  }

• 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
  Cite

  @inproceedings{zhao2025tempgraph,
    title={TempGraph: An Efficient Chain-driven Temporal Graph Computing Framework on the GPU},
    author={Zhao, Jin and Wang, Qian and He, Ligang and Zhang, Yu and Di, Sheng and He, Bingsheng and Wang, Xinlei and Yu, Hui and Qi, Hao and Lin, Longlong and Yu, Linchen and Liao, Xiaofei and Jin, Hai},
    booktitle={Proceedings of the 30th International Conference on Architectural Support for Programming Languages and Operating Systems},
    year={2025}
  }

• 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
  Cite

  @inproceedings{zhao2025datacentric,
    title={A Data-Centric Hardware Accelerator for Efficient Adaptive Radix Tree},
    author={Zhao, Jin and Zhang, Yu and Huang, Jun and Yin, Weihang and Yu, Hui and Qi, Hao and Wang, Zixiao and Lin, Longlong and Liao, Xiaofei and Jin, Hai},
    booktitle={Proceedings of the 62th ACM/IEEE Design Automation Conference},
    year={2025}
  }

• 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
  Cite

  @inproceedings{DBLP:conf/mir/LiuLYOZY025,
    author = {Tao Liu and Longlong Lin and Yunfeng Yu and Xi Ou and Youan Zhang and Zhiqiu Ye and Tao Jia},
    title = {CoATA: Effective Co-Augmentation of Topology and Attribute for Graph Neural Networks},
    booktitle = {ICMR},
    year = {2025},
  }

2024

• Longlong Lin, Pingpeng Yuan, Rong-Hua Li, Chunxue Zhu, Hongchao Qin, Hai Jin, Tao Jia. QTCS: Efficient Query-Centered Temporal Community Search. PVLDB, 2024. CCF-A会议
  Cite

  @article{DBLP:journals/pvldb/LinYLZQJJ24,
    author = {Longlong Lin and Pingpeng Yuan and Rong-Hua Li and Chun-Xue Zhu and Hongchao Qin and Hai Jin and Tao Jia},
    title = {{QTCS:} Efficient Query-Centered Temporal Community Search},
    journal = {Proc. {VLDB} Endow.},
    volume = {17},
    number = {6},
    pages = {1187--1199},
    year = {2024},
  }

• 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
  Cite

  @inproceedings{DBLP:conf/kdd/Lin0WZL24,
    author = {Longlong Lin and Tao Jia and Zeli Wang and Jin Zhao and Rong-Hua Li},
    title = {{PSMC:} Provable and Scalable Algorithms for Motif Conductance Based Graph Clustering},
    booktitle = {KDD},
    pages = {1793--1803},
    year = {2024},
  }

• 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
  Cite

  @article{DBLP:journals/pvldb/MengLLLW24,
    author = {Yuchen Meng and Ronghua Li and Longlong Lin and Xunkai Li and Guoren Wang},
    title = {Topology-preserving Graph Coarsening: An Elementary Collapse-based Approach},
    journal = {Proc. {VLDB} Endow.},
    volume = {17},
    number = {13},
    pages = {4760--4772},
    year = {2024},
  }

• 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
  Cite

  @inproceedings{DBLP:conf/kdd/YeLLLLW24,
    author = {Xiaowei Ye and Rong-Hua Li and Lei Liang and Zhizhen Liu and Longlong Lin and Guoren Wang},
    title = {Efficient and Effective Anchored Densest Subgraph Search: {A} Convex-programming based Approach},
    booktitle = {KDD},
    pages = {3907--3918},
    year = {2024},
  }

• 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
  Cite

  @inproceedings{DBLP:conf/cikm/LinYWWZ0024,
    author = {Longlong Lin and Yunfeng Yu and Zihao Wang and Zeli Wang and Yuying Zhao and Jin Zhao and Tao Jia},
    title = {{PSNE:} Efficient Spectral Sparsification Algorithms for Scaling Network Embedding},
    booktitle = {CIKM},
    pages = {1420--1429},
    year = {2024},
  }

• 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. 中科院一区
  Cite

  @article{DBLP:journals/eswa/HeLYLJW24,
    author = {Yue He and Longlong Lin and Pingpeng Yuan and Ronghua Li and Tao Jia and Zeli Wang},
    title = {{CCSS:} Towards conductance-based community search with size constraints},
    journal = {Expert Syst. Appl.},
    volume = {250},
    pages = {123915},
    year = {2024},
  }

• 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
  Cite

  @inproceedings{DBLP:conf/mir/YuLLWOJ24,
    author = {Yunfeng Yu and Longlong Lin and Qiyu Liu and Zeli Wang and Xi Ou and Tao Jia},
    title = {{GSD-GNN:} Generalizable and Scalable Algorithms for Decoupled Graph Neural Networks},
    booktitle = {ICMR},
    pages = {64--72},
    year = {2024},
  }

2023

• Longlong Lin, Rong-Hua Li, Tao Jia. Scalable and Effective Conductance-based Graph Clustering. AAAI, 2023. CCF-A会议 Oral
  Cite

  @inproceedings{DBLP:conf/aaai/LinLJ23,
    author = {Longlong Lin and Ronghua Li and Tao Jia},
    title = {Scalable and Effective Conductance-Based Graph Clustering},
    booktitle = {AAAI},
    pages = {4471--4478},
    year = {2023},
  }

2022

• Longlong Lin, Pingpeng Yuan, Rong-Hua Li, Jifei Wang, Ling Liu, Hai Jin. Mining Stable Quasi-Cliques on Temporal Networks. IEEE TSMC: Systems, 2022. 中科院一区
  Cite

  @article{DBLP:journals/tsmc/LinYLWLJ22,
    author = {Longlong Lin and Pingpeng Yuan and Rong-Hua Li and Jifei Wang and Ling Liu and Hai Jin},
    title = {Mining Stable Quasi-Cliques on Temporal Networks},
    journal = {{IEEE} Trans. Syst. Man Cybern. Syst.},
    volume = {52},
    number = {6},
    pages = {3731--3745},
    year = {2022},
  }

• 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. 中科院2区
  Cite

  @article{DBLP:journals/tbd/LinYLJ22,
    author = {Longlong Lin and Pingpeng Yuan and Rong-Hua Li and Hai Jin},
    title = {Mining Diversified Top-r Lasting Cohesive Subgraphs on Temporal Networks},
    journal = {{IEEE} Trans. Big Data},
    volume = {8},
    number = {6},
    pages = {1537--1549},
    year = {2022},
  }