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ORCIDTing Yu 0004
Person information
- affiliation: Zhejiang Lab, Hangzhou, China
- affiliation (former): Wuhan University, School of Computer Science, State Key Lab of Software Engineering, Wuhan, China
Other persons with the same name
- Ting Yu — disambiguation page
- Ting Yu 0001
![[0000-0002-7054-5773]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-7054-5773")
— Hamad Bin Khalifa University, Qatar Computing Research Institute, Doha, Qatar (and 2 more) - Ting Yu 0002 — JiaXing Nanhu University, Jiaxing, China (and 2 more)
- Ting Yu 0003 — Google Cloud, Sunnyvale, CA, USA (and 3 more)
- Ting Yu 0005 — Pukyong National University, Department of Food and Life Science, Busan, Republic of Korea
- Ting Yu 0006 — Stevens Institute of Technology, Department of Physics, Center for Quantum Science and Engineering, Hoboken, NJ, USA (and 1 more)
- Ting Yu 0007 — University of Illinois at Urbana-Champaign, Department of ECE, Urbana-Champaign, IL, USA
- Ting Yu 0008 — University of Sydney, Centre for Integrated Sustainability Analysis, Sydney, Australia (and 1 more)
- Ting Yu 0010 — Shandong University, Research Center for Mathematics and Interdisciplinary Sciences, Qingdao, China (and 1 more)
- Ting Yu 0011 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Department of Integrated Electronics, Shenzhen, China
- Ting Yu 0012 — University of Auckland, Department of Electrical and Computer Engineering, Parallel and Reconfigurable Computing Group, New Zealand (and 1 more)
- Ting Yu 0014 — Huazhong University of Science and Technology, Union Hospital, Tongji Medical College, Wuhan, China
- Ting Yu 0015 — Tianjin University, College of Management and Economics, China
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2020 – today
- 2024
[j11]Yang Zhang, Ting Yu, Shengqiang Chi, Zhen Wang, Yue Gao, Ji Zhang, Tianshu Zhou:
Attribute Diversity Aware Community Detection on Attributed Graphs Using Three-View Graph Attention Neural Networks. ACM Trans. Knowl. Discov. Data 18(8): 196:1-196:24 (2024)- [j10]Ting Yu, Ting Jiang, Mohamed Jaward Bah, Chen Zhao, Hao Huang, Mengchi Liu, Shuigeng Zhou, Zhao Li, Ji Zhang:
Incremental Maximal Clique Enumeration for Hybrid Edge Changes in Large Dynamic Graphs. IEEE Trans. Knowl. Data Eng. 36(4): 1650-1666 (2024) - [j9]Hao Zhong, Yubo Zhang, Chenggang Yan, Zuxing Xuan, Ting Yu, Ji Zhang, Shihui Ying, Yue Gao:
Penalized Flow Hypergraph Local Clustering. IEEE Trans. Knowl. Data Eng. 36(5): 2110-2125 (2024) - [c14]Chen Zhao, Ting Yu, Zhigao Zheng, Yuanyuan Zhu, Song Jin, Bo Du, Dacheng Tao:
PICO: Accelerating All k-Core Paradigms on GPU. APNet 2024: 221-222 - [c13]Zenghui Xu, Mingzhang Li, Ting Yu, Linlin Hou, Peng Zhang, Rage Uday Kiran, Zhao Li, Ji Zhang:
A Novel Multi-scale Spatiotemporal Graph Neural Network for Epidemic Prediction. DEXA (2) 2024: 272-287 - [c12]Chuhan Hu, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Ting Yu, Hongyang Chen, Mengchi Liu, Jeffrey Xu Yu:
Querying Cohesive Subgraph Regarding Span-Constrained Triangles on Temporal Graphs. ICDE 2024: 3338-3350 - [c11]Chen Zhao, Ting Yu, Zhigao Zheng, Yuanyuan Zhu, Song Jin, Bo Du, Dacheng Tao:
SpeedCore: Space-efficient and Dependency-aware GPU Parallel Framework for Core Decomposition. ICPP 2024: 555-564 - [i3]Chen Zhao, Ting Yu, Zhigao Zheng, Song Jin, Jiawei Jiang, Bo Du, Dacheng Tao:
PICO: Accelerating All k-Core Paradigms on GPU. CoRR abs/2402.15253 (2024) - 2023
- [j8]Ting Yu, Mengchi Liu, Zujie Ren, Ji Zhang:
A fast approximate method for k-edge connected component detection in graphs with high accuracy. Inf. Sci. 633: 384-409 (2023) - [j7]Shengrui Li, Yining Zhao, Jun Zhang, Ting Yu, Ji Zhang, Yue Gao:
High-Order Correlation-Guided Slide-Level Histology Retrieval With Self-Supervised Hashing. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11008-11023 (2023) - [j6]Yifan He, Zhao Li, Zhenpeng Li, Shuigeng Zhou, Ting Yu, Ji Zhang:
Towards Cross-Lingual Multi-Modal Misinformation Detection for E-Commerce Management. IEEE Trans. Netw. Serv. Manag. 20(2): 1040-1050 (2023) - [c10]Ting Jiang, Ting Yu, Xueting Qiao, Ji Zhang:
An Efficient Embedding Framework for Uncertain Attribute Graph. DEXA (2) 2023: 219-229 - 2022
- [j5]Linlin Hou, Ji Zhang, Ou Wu, Ting Yu, Zhen Wang, Zhao Li, Jianliang Gao, Yingchun Ye, Rujing Yao:
Method and dataset entity mining in scientific literature: A CNN + BiLSTM model with self-attention. Knowl. Based Syst. 235: 107621 (2022) - [j4]Ting Jiang, Yang Zhang, Minhao Zhang, Ting Yu, Yizheng Chen, Chenhao Lu, Ji Zhang, Zhao Li, Jun Gao, Shuigeng Zhou:
A Survey on Contact Tracing: The Latest Advancements and Challenges. ACM Trans. Spatial Algorithms Syst. 8(2): 1-35 (2022) - [c9]Yuxin Wu, Zenghui Xu, Hongzhou Li, Yuquan Gan, Josh Jia-Ching Ying, Ting Yu, Ji Zhang:
Event Detection from Web Data in Chinese Based on Bi-LSTM with Attention. ADMA (1) 2022: 93-105 - [c8]Ting Jiang, Ting Yu, Zexian Hong, Zujie Ren, Ji Zhang:
A Parallel Framework for Streaming Graphs Computing. IEEE Big Data 2022: 6673-6675 - [c7]Zenghui Xu, Ting Yu, Xingyun Hong, Mingzhang Li, Yang Zhang, Zujie Ren, Ji Zhang:
IDGMS: a One-Stop Graph Mining System for Infectious Diseases. IEEE Big Data 2022: 6835-6837 - [c6]Yang Zhang, Zhen Wang, Ting Yu, Mingming Lu, Zujie Ren, Ji Zhang:
Knowledge Tracing Based on Gated Heterogeneous Graph Convolutional Networks. IEEE Big Data 2022: 6847-6849 - [c5]Mohamed Jaward Bah, Ji Zhang, Ting Yu, Feng Xia, Zhao Li, Shuigeng Zhou, Hongzhi Wang:
A Generative Adversarial Active Learning Method for Effective Outlier Detection. ICTAI 2022: 131-139 - [i2]Shiqiang Zhu, Ting Yu, Tao Xu, Hongyang Chen, Schahram Dustdar, Sylvain Gigan, Deniz Gündüz, Ekram Hossain, Yaochu Jin, Feng Lin, Bo Liu, Zhiguo Wan, Ji Zhang, Zhifeng Zhao, Wentao Zhu, Zuoning Chen, Tariq Durrani, Huaimin Wang, Jiangxing Wu, Tongyi Zhang, Yunhe Pan:
Intelligent Computing: The Latest Advances, Challenges and Future. CoRR abs/2211.11281 (2022) - 2021
- [j3]Yifan He, Zhao Li, Lei Fu, Anhui Wang, Peng Zhang, Shuigeng Zhou, Ji Zhang, Ting Yu:
TARA-Net: A Fusion Network for Detecting Takeaway Rider Accidents. ACM Trans. Intell. Syst. Technol. 12(6): 72:1-72:19 (2021) - [c4]Qiqiang Xu, Ji Zhang, Ting Yu, Wenbin Zhang, Mingli Zhang, Yonglong Luo, Fulong Chen, Zhen Liu:
An Effective Algorithm for Classification of Text with Weak Sequential Relationships. DEXA (2) 2021: 283-294 - 2020
- [i1]Linlin Hou, Ji Zhang, Ou Wu, Ting Yu, Zhen Wang, Zhao Li, Jianliang Gao, Yingchun Ye, Rujing Yao:
Method and Dataset Entity Mining in Scientific Literature: A CNN + Bi-LSTM Model with Self-attention. CoRR abs/2010.13583 (2020)
2010 – 2019
- 2019
- [j2]Ting Yu, Mengchi Liu:
A memory efficient maximal clique enumeration method for sparse graphs with a parallel implementation. Parallel Comput. 87: 46-59 (2019) - 2017
- [j1]Ting Yu, Mengchi Liu:
A linear time algorithm for maximal clique enumeration in large sparse graphs. Inf. Process. Lett. 125: 35-40 (2017) - 2015
- [c3]Liu Chen, Mengchi Liu, Ting Yu:
A Schema-Less Data Model for the Web. ER 2015: 577-584 - [c2]Liu Chen, Ting Yu, Mengchi Liu:
A Semantic Graph Model. OTM Conferences 2015: 378-396 - 2013
- [c1]Liu Chen, Ting Yu:
A Semantic DBMS Prototype. ER Workshops 2013: 257-266
Coauthor Index
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