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Yili Wang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Yili Wang 0001 — University of Houston, Department of Computer Science, TX, USA
- Yili Wang 0002 — Sungkyunkwan University, College of Information and Communication Engineering, Suwon, South Korea
- Yili Wang 0003 — Tsinghua University, Department of Foreign Languages and Literatures, Beijing, China
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2020 – today
- 2025
- [j7]Yili Wang, Wu-Hua Chen, Xiaomei Lu:
Variable gain intermittent stabilization and synchronization for delayed chaotic Lur'e systems. Commun. Nonlinear Sci. Numer. Simul. 140: 108353 (2025) - 2024
- [j6]Yili Wang, Haotian Xue, Xin Wang:
A two-stage co-adversarial perturbation to mitigate out-of-distribution generalization of large-scale graph. Expert Syst. Appl. 255: 124472 (2024) - [j5]Yili Wang, Jiamin Chen, Qiutong Li, Changlong He, Jianliang Gao:
Graph neural architecture search with heterogeneous message-passing mechanisms. Knowl. Inf. Syst. 66(7): 4283-4308 (2024) - [c12]Yili Wang, Jiamin Chen, Qiutong Li, Changlong He, Jianliang Gao:
Relation Time-Aware Heterogeneous Dynamic Graph Neural Networks. ECAI 2024: 1864-1871 - [c11]Yili Wang, Kaixiong Zhou, Ninghao Liu, Ying Wang, Xin Wang:
Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models. ICLR 2024 - [c10]Rui Miao, Kaixiong Zhou, Yili Wang, Ninghao Liu, Ying Wang, Xin Wang:
Rethinking Independent Cross-Entropy Loss For Graph-Structured Data. ICML 2024 - [c9]Xu Shen, Yili Wang, Kaixiong Zhou, Shirui Pan, Xin Wang:
Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models. KDD 2024: 2640-2650 - [i7]Xu Shen, Yili Wang, Kaixiong Zhou, Shirui Pan, Xin Wang:
Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models. CoRR abs/2404.15625 (2024) - [i6]Yili Wang:
Heterogeneous Graph Neural Networks with Loss-decrease-aware Curriculum Learning. CoRR abs/2405.06522 (2024) - [i5]Rui Miao, Kaixiong Zhou, Yili Wang, Ninghao Liu, Ying Wang, Xin Wang:
Rethinking Independent Cross-Entropy Loss For Graph-Structured Data. CoRR abs/2405.15564 (2024) - [i4]Xin He, Wenqi Fan, Ruobing Wang, Yili Wang, Ying Wang, Shirui Pan, Xin Wang:
Balancing User Preferences by Social Networks: A Condition-Guided Social Recommendation Model for Mitigating Popularity Bias. CoRR abs/2405.16772 (2024) - [i3]Yili Wang, Kaixiong Zhou, Ninghao Liu, Ying Wang, Xin Wang:
Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models. CoRR abs/2406.13137 (2024) - [i2]Yili Wang, Yixin Liu, Xu Shen, Chenyu Li, Kaize Ding, Rui Miao, Ying Wang, Shirui Pan, Xin Wang:
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark. CoRR abs/2406.15523 (2024) - 2023
- [c8]Jordan Voas, Yili Wang, Qixing Huang, Raymond Mooney:
What is the Best Automated Metric for Text to Motion Generation? SIGGRAPH Asia 2023: 44:1-44:11 - [c7]Yili Wang, Jiamin Chen, Qiutong Li, Changlong He, Jianliang Gao:
MSLS: Meta-graph Search with Learnable Supernet for Heterogeneous Graph Neural Networks. SSDBM 2023: 18:1-18:4 - [c6]Jianliang Gao, Changlong He, Jiamin Chen, Qiutong Li, Yili Wang:
Decoupled Graph Neural Architecture Search with Variable Propagation Operation and Appropriate Depth. SSDBM 2023: 20:1-20:4 - [i1]Jordan Voas, Yili Wang, Qixing Huang, Raymond Mooney:
What is the Best Automated Metric for Text to Motion Generation? CoRR abs/2309.10248 (2023) - 2022
- [j4]Yinchao Fei, Hao Zhang, Yili Wang, Zhen Liu, Yuanning Liu:
LTPConstraint: a transfer learning based end-to-end method for RNA secondary structure prediction. BMC Bioinform. 23(1): 354 (2022) - [j3]Yintao Yang, Rui Miao, Yili Wang, Xin Wang:
Contrastive Graph Convolutional Networks with adaptive augmentation for text classification. Inf. Process. Manag. 59(4): 102946 (2022) - [c5]Yili Wang, Kaixiong Zhou, Rui Miao, Ninghao Liu, Xin Wang:
AdaGCL: Adaptive Subgraph Contrastive Learning to Generalize Large-scale Graph Training. CIKM 2022: 2046-2055 - [c4]Yili Wang, Li Xiang, Yun Hu, Baoshu Pang:
Empirical Study on Development of User Experience Questionnaire for Sanitation Robots. HCI (37) 2022: 160-168 - 2020
- [c3]Yili Wang, Tong Wu, Fei Ma, Shengxin Zhu:
Personalized Recommender Systems with Multi-source Data. SAI (1) 2020: 219-233
2010 – 2019
- 2019
- [j2]Yili Wang, Yifan Liu, Kun Xu:
An Improved Geometric Approach for Palette-based Image Decomposition and Recoloring. Comput. Graph. Forum 38(7): 11-22 (2019) - 2018
- [c2]Miao Liu, Yili Wang:
Kansei Operation: The Application of Kansei Engineering Technology to the Operating Activities of Financial Products in the Big Data Era. HCI (23) 2018: 115-131 - 2017
- [c1]Yili Wang, Naichen Wang, Zhihao Chen, Wenbo Chen:
A Fully Cloud-Based Modular Home Service Robot. ICIRA (3) 2017: 320-334
2000 – 2009
- 2006
- [j1]Jun Yang, Yili Wang, Lü-Sheng Si:
Predicting the Nuclear Localization Signals of 107 Types of HPV L1 Proteins by Bioinformatic Analysis. Genom. Proteom. Bioinform. 4(1): 34-41 (2006)
Coauthor Index
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