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2020 – today
- 2026
[j14]Zhiqiu Ye
, Longlong Lin, Jie Li, Tao Liu, Zeli Wang:
GDBA: Defending graph neural networks via attribute debiasing. Expert Syst. Appl. 296: 128983 (2026)- 2025
- [j13]Yalong Zhang, Rong-Hua Li, Longlong Lin, Qi Zhang, Lu Qin, Guoren Wang:
Integral Densest Subgraph Search on Directed Graphs. Proc. ACM Manag. Data 3(3): 176:1-176:26 (2025) - [j12]Junjie Zhou, Meihao Liao, Rong-Hua Li, Longlong Lin, Guoren Wang:
One Index for All: Towards Efficient Personalized PageRank Computation for Every Damping Factor. Proc. ACM Manag. Data 3(4): 258:1-258:26 (2025) - [j11]Hongchao Qin, Guang Zeng, Ronghua Li, Longlong Lin, Ye Yuan, Guoren Wang:
Truss Decomposition in Hypergraphs. Proc. VLDB Endow. 18(7): 2185-2197 (2025) - [j10]Qiyu Liu, Siyuan Han, Yanlin Qi, Jingshu Peng, Jin Li, Longlong Lin, Lei Chen:
Why Are Learned Indexes So Effective but Sometimes Ineffective? Proc. VLDB Endow. 18(9): 2886-2898 (2025) - [j9]Longlong Lin, Yue He, Wei Chen, Pingpeng Yuan, Rong-Hua Li, Tao Jia:
Effective and Efficient Conductance-Based Community Search at Billion Scale. IEEE Trans. Big Data 11(6): 3170-3184 (2025) - [j8]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 Trans. Knowl. Data Eng. 37(9): 5568-5583 (2025) - [c14]Linchen Yu, Zihan Li, Jin Zhao, Longlong Lin, Hengshan Yue:
Achieving Efficient Temporal Graph Transformation on the GPU. APPT 2025: 269-283 - [c13]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: 1-7 - [c12]Xiaoyu Leng, Guang Zeng, Hongchao Qin, Longlong Lin, Rong-Hua Li:
On Temporal-Constraint Subgraph Matching. ICDE 2025: 2493-2506 - [c11]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: 851-860 - [i12]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. CoRR abs/2506.22299 (2025) - [i11]Longlong Lin, Yue He, Wei Chen, Pingpeng Yuan, Rong-Hua Li, Tao Jia:
Effective and Efficient Conductance-based Community Search at Billion Scale. CoRR abs/2508.01244 (2025) - [i10]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. CoRR abs/2511.04712 (2025) - 2024
- [j7]Ziyu Liao, Tao Liu, Yue He, Longlong Lin:
Effective Temporal Graph Learning via Personalized PageRank. Entropy 26(7): 588 (2024) - [j6]Yue He, Longlong Lin, Pingpeng Yuan, Ronghua Li, Tao Jia, Zeli Wang:
CCSS: Towards conductance-based community search with size constraints. Expert Syst. Appl. 250: 123915 (2024) - [j5]Longlong Lin, Pingpeng Yuan, Rong-Hua Li, Chunxue Zhu, Hongchao Qin, Hai Jin, Tao Jia:
QTCS: Efficient Query-Centered Temporal Community Search. Proc. VLDB Endow. 17(6): 1187-1199 (2024) - [j4]Yuchen Meng, Ronghua Li, Longlong Lin, Xunkai Li, Guoren Wang:
Topology-preserving Graph Coarsening: An Elementary Collapse-based Approach. Proc. VLDB Endow. 17(13): 4760-4772 (2024) - [c10]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: 1420-1429 - [c9]Longlong Lin, Tao Jia, Zeli Wang, Jin Zhao, Rong-Hua Li:
PSMC: Provable and Scalable Algorithms for Motif Conductance Based Graph Clustering. KDD 2024: 1793-1803 - [c8]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: 3907-3918 - [c7]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: 64-72 - [c6]Zeli Wang, Jian Li, Shuyin Xia, Longlong Lin, Guoyin Wang:
Text Adversarial Defense via Granular-Ball Sample Enhancement. ICMR 2024: 348-356 - [c5]Zeli Wang, Tuo Zhang, Shuyin Xia, Longlong Lin, Guoyin Wang:
GBRAIN: Combating Textual Label Noise by Granular-ball based Robust Training. ICMR 2024: 357-365 - [i9]Longlong Lin, Tao Jia, Zeli Wang, Jin Zhao, Rong-Hua Li:
PSMC: Provable and Scalable Algorithms for Motif Conductance Based Graph Clustering. CoRR abs/2406.07357 (2024) - [i8]Longlong Lin, Yunfeng Yu, Zihao Wang, Zeli Wang, Yuying Zhao, Jin Zhao, Tao Jia:
PSNE: Efficient Spectral Sparsification Algorithms for Scaling Network Embedding. CoRR abs/2408.02705 (2024) - [i7]Qiyu Liu, Siyuan Han, Yanlin Qi, Jingshu Peng, Jin Li, Longlong Lin, Lei Chen:
Why Are Learned Indexes So Effective but Sometimes Ineffective? CoRR abs/2410.00846 (2024) - [i6]Huihui Yang, Chunxue Zhu, Longlong Lin, Pingpeng Yuan:
Towards Truss-Based Temporal Community Search. CoRR abs/2410.15046 (2024) - [i5]Yichun Yang, Rong-Hua Li, Meihao Liao, Longlong Lin, Guoren Wang:
Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach. CoRR abs/2412.10789 (2024) - [i4]Xiaowei Ye, Rong-Hua Li, Longlong Lin, Shaojie Qiao, Guoren Wang:
Fast Biclique Counting on Bipartite Graphs: A Node Pivot-based Approach. CoRR abs/2412.16485 (2024) - 2023
- [c4]Longlong Lin, Ronghua Li, Tao Jia:
Scalable and Effective Conductance-Based Graph Clustering. AAAI 2023: 4471-4478 - [i3]Longlong Lin, Pingpeng Yuan, Rong-Hua Li, Chunxue Zhu, Hongchao Qin, Hai Jin, Tao Jia:
Query-Centered Temporal Community Search via Time-Constrained Personalized PageRank. CoRR abs/2302.08740 (2023) - 2022
- [j3]Chun-Xue Zhu, Longlong Lin, Pingpeng Yuan, Hai Jin:
Discovering Cohesive Temporal Subgraphs with Temporal Density Aware Exploration. J. Comput. Sci. Technol. 37(5): 1068-1085 (2022) - [j2]Longlong Lin, Pingpeng Yuan, Rong-Hua Li, Hai Jin:
Mining Diversified Top-$r$r Lasting Cohesive Subgraphs on Temporal Networks. IEEE Trans. Big Data 8(6): 1537-1549 (2022) - [j1]Longlong Lin, Pingpeng Yuan, Rong-Hua Li, Jifei Wang, Ling Liu, Hai Jin:
Mining Stable Quasi-Cliques on Temporal Networks. IEEE Trans. Syst. Man Cybern. Syst. 52(6): 3731-3745 (2022) - [c3]Yifei Zhang, Longlong Lin, Pingpeng Yuan, Hai Jin:
Significant Engagement Community Search on Temporal Networks. DASFAA (1) 2022: 250-258 - [i2]Yifei Zhang, Longlong Lin, Pingpeng Yuan, Hai Jin:
Significant Engagement Community Search on Temporal Networks: Concepts and Algorithms. CoRR abs/2206.06350 (2022) - [i1]Longlong Lin, Rong-Hua Li, Tao Jia:
Scalable and Effective Conductance-based Graph Clustering. CoRR abs/2211.12511 (2022)
2010 – 2019
- 2019
- [c2]Pingpeng Yuan, Longlong Lin, Zhijuan Kou, Ling Liu, Hai Jin:
Big RDF Data Storage, Computation, and Analysis: A Strawman's Arguments. ICDCS 2019: 1693-1703 - 2018
- [c1]Dongxiao Yu, Longlong Lin, Yong Zhang, Jiguo Yu, Yifei Zou, Qiang-Sheng Hua, Xiuzhen Cheng:
Fully Dynamic Broadcasting under SINR. IPCCC 2018: 1-8
Coauthor Index
aka: Rong-Hua Li
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