E-LIB Suche - Ergebnisse für: Shi, Jieming

1

Minimum Strongly Connected Subgraph Collection in Dynamic G..:

Chen, Xin ; Shi, Jieming ; Peng, You...
Proceedings of the VLDB Endowment. 17 (2024) 6 - p. 1324-1336 , 2024

Link: https://doi.org/10.14778..

2

Low Latency and Sparse Computing Spiking Neural Networks Wi..:

Zhang, Anguo ; Shi, Jieming ; Wu, Junyi..
IEEE Transactions on Neural Networks and Learning Systems. , 2024

Link: https://doi.org/10.1109/..

3

Pulse Interval Optimization for Doppler Ambiguity Clutter S..:

Shi, Jieming ; Cheng, Ziyang ; Li, Jun..
IEEE Geoscience and Remote Sensing Letters. 21 (2024) - p. 1-5 , 2024

Link: https://doi.org/10.1109/..

4

Anomaly Detection in Financial Transactions Via Graph-Based..:

, In: Big Data Analytics and Knowledge Discovery; Lecture Notes in Computer Science,

Wang, Hewen ; Yang, Renchi ; Shi, Jieming - p. 64-79 , 2023

Link: https://doi.org/10.1007/..

5

Online Anomalous Subtrajectory Detection on Road Networks w..:

, In: 2023 IEEE 39th International Conference on Data Engineering (ICDE),

Zhang, Qianru ; Wang, Zheng ; Long, Cheng... - p. 246-258 , 2023

Link: https://doi.org/10.1109/..

6

Multi-task Learning for Recommendation over Heterogeneous I..:

, In: 2023 IEEE 39th International Conference on Data Engineering (ICDE),

Li, Hui ; Wang, Yanlin ; Lyu, Ziyu. - p. 3775-3776 , 2023

Link: https://doi.org/10.1109/..

7

PANE: scalable and effective attributed network embedding:

Yang, Renchi ; Shi, Jieming ; Xiao, Xiaokui...
The VLDB Journal. 32 (2023) 6 - p. 1237-1262 , 2023

Link: https://doi.org/10.1007/..

8

EmbedX: A Versatile, Efficient and Scalable Platform to Emb..:

Zou, Yuanhang ; Ding, Zhihao ; Shi, Jieming...
Proceedings of the VLDB Endowment. 16 (2023) 12 - p. 3543-3556 , 2023

Link: https://doi.org/10.14778..

9

Effective stabilized self-training on few-labeled graph dat:

Zhou, Ziang ; Shi, Jieming ; Zhang, Shengzhong..
Information Sciences. 631 (2023) - p. 369-384 , 2023

Link: https://doi.org/10.1016/..

10

Exponential Information Bottleneck Theory Against Intra-Att..:

Wu, Junyi ; Huang, Yan ; Gao, Min...
IEEE Transactions on Information Forensics and Security. 18 (2023) - p. 5623-5635 , 2023

Link: https://doi.org/10.1109/..

11

Example-based Spatial Search at Scale:

, In: 2022 IEEE 38th International Conference on Data Engineering (ICDE),

Zhang, Hanyuan ; Luo, Siqiang ; Shi, Jieming.. - p. 539-551 , 2022

Link: https://doi.org/10.1109/..

12

No PANE, No Gain: Scaling Attributed Network Embedding in a..:

Yang, Renchi ; Shi, Jieming ; Xiao, Xiaokui...
ACM SIGMOD Record. 51 (2022) 1 - p. 42-49 , 2022

Link: https://doi.org/10.1145/..

13

Multi-Task Learning for Recommendation Over Heterogeneous I..:

Li, Hui ; Wang, Yanlin ; Lyu, Ziyu.
IEEE Transactions on Knowledge and Data Engineering. 34 (2022) 2 - p. 789-802 , 2022

Link: https://doi.org/10.1109/..

14

Scalable and Effective Bipartite Network Embedding:

, In: Proceedings of the 2022 International Conference on Management of Data,

Yang, Renchi ; Shi, Jieming ; Huang, Keke. - p. 1977-1991 , 2022

Link: https://dl.acm.org/doi/1..

15

Efficiently Answering k-hop Reachability Queries in Large D..:

, In: 2022 23rd IEEE International Conference on Mobile Data Management (MDM),

Xu, Zequan ; Luo, Siqiang ; Shi, Jieming... - p. 238-245 , 2022

Link: https://doi.org/10.1109/..