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2020 – today
- 2024
[c13]Xuening Wu, Yiqing Shen, Qing Zhao, Yanlan Kang, Ruiqi Hu, Wenqiang Zhang:
Edge-SAN: An Edge-Prompted Foundation Model for Accurate Nuclei Instance Segmentation in Histology Images. BIBM 2024: 2694-2701- 2023
- [c12]Jia Geng, Ruiqi Hu, Kairong Liu, Zhihui Li, Zhikun She:
Reachability Based Uniform Controllability to Target Set with Evolution Function. SETTA 2023: 21-37 - 2022
- [j5]Ruiqi Hu, Zhikun She
:
OURS: Over- and Under-approximating Reachable Sets for analytic time-invariant differential equations. J. Syst. Archit. 128: 102580 (2022) - [j4]Chun Wang, Shirui Pan, Celina Ping Yu, Ruiqi Hu, Guodong Long, Chengqi Zhang:
Deep neighbor-aware embedding for node clustering in attributed graphs. Pattern Recognit. 122: 108230 (2022) - [c11]Ruiqi Hu, Kairong Liu, Zhikun She:
Reach-Avoid Verification for Time-varying Systems with Uncertain Disturbances. MEMOCODE 2022: 1-12 - 2021
- [j3]Zhineng Fu, Weijun Xu, Ruiqi Hu, Guodong Long, Jing Jiang:
MHieR-encoder: Modelling the high-frequency changes across stocks. Knowl. Based Syst. 224: 107092 (2021) - [c10]Ruiqi Hu, Meilun Li, Zhikun She:
$\mathbf{OURS} $: Over- and Under-Approximating Reachable Sets for Analytic Time-Invariant Differential Equations. SETTA 2021: 261-278 - 2020
- [j2]Yu Zheng, Ruiqi Hu, Sai-Fu Fung, Celina Ping Yu, Guodong Long, Ting Guo, Shirui Pan:
Clustering social audiences in business information networks. Pattern Recognit. 100: 107126 (2020) - [j1]Shirui Pan, Ruiqi Hu, Sai-Fu Fung, Guodong Long, Jing Jiang, Chengqi Zhang:
Learning Graph Embedding With Adversarial Training Methods. IEEE Trans. Cybern. 50(6): 2475-2487 (2020) - [c9]Ruiqi Hu, Shirui Pan, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang:
Going Deep: Graph Convolutional Ladder-Shape Networks. AAAI 2020: 2838-2845 - [i5]Claire Ye, Chinedu Ojukwu, Anthony Hsu, Ruiqi Hu:
Alt-Coin Traceability. IACR Cryptol. ePrint Arch. 2020: 593 (2020)
2010 – 2019
- 2019
- [b1]Ruiqi Hu:
Learning and representing attributed graphs. University of Technology Sydney, Australia, 2019 - [c8]Chun Wang, Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Chengqi Zhang:
Attributed Graph Clustering: A Deep Attentional Embedding Approach. IJCAI 2019: 3670-3676 - [c7]Di Wu, Ruiqi Hu, Yu Zheng, Jing Jiang, Nabin Sharma, Michael Blumenstein:
Feature-Dependent Graph Convolutional Autoencoders with Adversarial Training Methods. IJCNN 2019: 1-8 - [i4]Shirui Pan, Ruiqi Hu, Sai-Fu Fung, Guodong Long, Jing Jiang, Chengqi Zhang:
Learning Graph Embedding with Adversarial Training Methods. CoRR abs/1901.01250 (2019) - [i3]Chun Wang, Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Chengqi Zhang:
Attributed Graph Clustering: A Deep Attentional Embedding Approach. CoRR abs/1906.06532 (2019) - 2018
- [c6]Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang:
Adversarially Regularized Graph Autoencoder for Graph Embedding. IJCAI 2018: 2609-2615 - [c5]Venkatasubramanian Kalpathy Venkiteswaran, Ruiqi Hu, Haijun Su:
A Pneumatically-Actuated Variable-Stiffness Robot Arm Using Parallel Flexures. ROBIO 2018: 1-7 - [i2]Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang:
Adversarially Regularized Graph Autoencoder. CoRR abs/1802.04407 (2018) - [i1]Ruiqi Hu, Celina Ping Yu, Sai-Fu Fung, Shirui Pan, Haishuai Wang, Guodong Long:
Universal Network Representation for Heterogeneous Information Networks. CoRR abs/1811.12157 (2018) - 2017
- [c4]Ruiqi Hu, Shirui Pan, Jing Jiang, Guodong Long:
Graph Ladder Networks for Network Classification. CIKM 2017: 2103-2106 - [c3]Ruiqi Hu, Celina Ping Yu, Sai-Fu Fung, Shirui Pan, Haishuai Wang, Guodong Long:
Universal network representation for heterogeneous information networks. IJCNN 2017: 388-395 - 2016
- [c2]Ruiqi Hu, Shirui Pan, Guodong Long, Xingquan Zhu, Jing Jiang, Chengqi Zhang:
Co-clustering enterprise social networks. IJCNN 2016: 107-114
2000 – 2009
- 2004
- [c1]Ruiqi Hu, Aloysius K. Mok:
Detecting Unknown Massive Mailing Viruses Using Proactive Methods. RAID 2004: 82-101
Coauthor Index
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