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ORCIDYule Wang
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2020 – today
- 2024
[c8]Chengrui Li, Yule Wang, Weihan Li, Anqi Wu:
Forward χ2 Divergence Based Variational Importance Sampling. ICLR 2024- [c7]Weihan Li, Chengrui Li, Yule Wang, Anqi Wu:
Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions. ICML 2024 - [c6]Chengrui Li, Weihan Li, Yule Wang, Anqi Wu:
A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing. ICML 2024 - [i10]Chengrui Li, Weihan Li, Yule Wang, Anqi Wu:
A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing. CoRR abs/2402.01263 (2024) - [i9]Weihan Li, Chengrui Li, Yule Wang, Anqi Wu:
Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions. CoRR abs/2402.02686 (2024) - [i8]Weihan Li, Yule Wang, Chengrui Li, Anqi Wu:
Markovian Gaussian Process: A Universal State-Space Representation for Stationary Temporal Gaussian Process. CoRR abs/2407.00397 (2024) - [i7]Yule Wang, Chengrui Li, Weihan Li, Anqi Wu:
Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models. CoRR abs/2410.09614 (2024) - 2023
- [c5]Yule Wang
, Yimin Yin, Renye Zhang, Jinghua Zhang:
Deep Learning-based Histopathological Image Classification of Colorectal Cancer: A Brief Survey of Recent Trends. CIIS 2023: 139-146 - [c4]Yule Wang, Zijing Wu, Chengrui Li, Anqi Wu:
Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Model. NeurIPS 2023 - [i6]Yule Wang, Zijing Wu, Chengrui Li, Anqi Wu:
Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Model. CoRR abs/2306.06138 (2023) - [i5]Chengrui Li, Yule Wang, Weihan Li, Anqi Wu:
Forward χ2 Divergence Based Variational Importance Sampling. CoRR abs/2311.02516 (2023) - 2022
- [j7]Wanliang Wang, Guoqing Li, Yule Wang, Fei Wu, Weiwei Zhang, Li Li:
Clearing-based multimodal multi-objective evolutionary optimization with layer-to-layer strategy. Swarm Evol. Comput. 68: 100976 (2022) - 2021
- [j6]Guoqing Li, Wanliang Wang, Haoli Chen, Wenbo You, Yule Wang, Yawen Jin, Weiwei Zhang:
A SHADE-based multimodal multi-objective evolutionary algorithm with fitness sharing. Appl. Intell. 51(12): 8720-8752 (2021) - [j5]Bo Chen, Yue Ding, Xin Xin, Yunzhe Li, Yule Wang, Dong Wang:
AIRec: Attentive intersection model for tag-aware recommendation. Neurocomputing 421: 105-114 (2021) - [j4]Si-Zhe Chen, Yule Wang, Guidong Zhang, Le Chang, Yun Zhang:
Sneak Circuit Theory Based Approach to Avoiding Short-Circuit Paths in Reconfigurable Battery Systems. IEEE Trans. Ind. Electron. 68(12): 12353-12363 (2021) - [c3]Yunzhe Li, Yue Ding, Bo Chen, Xin Xin, Yule Wang, Yuxiang Shi, Ruiming Tang, Dong Wang:
Extracting Attentive Social Temporal Excitation for Sequential Recommendation. CIKM 2021: 998-1007 - [c2]Guoqing Li, Wanliang Wang, Yule Wang:
Two-Stage Evolutionary Algorithm Using Clustering for Multimodal Multi-objective Optimization with Imbalance Convergence and Diversity. ICA3PP (3) 2021: 571-586 - [i4]Yule Wang, Qiang Luo, Yue Ding, Dong Wang, Hongbo Deng:
DemiNet: Dependency-Aware Multi-Interest Network with Self-Supervised Graph Learning for Click-Through Rate Prediction. CoRR abs/2109.12512 (2021) - [i3]Yule Wang, Xin Xin, Yue Ding, Dong Wang:
ICMT: Item Cluster-Wise Multi-Objective Training for Long-Tail Recommendation. CoRR abs/2109.12887 (2021) - [i2]Yunzhe Li, Yue Ding, Bo Chen, Xin Xin, Yule Wang, Yuxiang Shi, Ruiming Tang, Dong Wang:
Extracting Attentive Social Temporal Excitation for Sequential Recommendation. CoRR abs/2109.13539 (2021) - 2020
- [j3]Rongfang Wang, Jiawei Chen, Yule Wang, Licheng Jiao, Mi Wang:
SAR Image Change Detection via Spatial Metric Learning With an Improved Mahalanobis Distance. IEEE Geosci. Remote. Sens. Lett. 17(1): 77-81 (2020)
2010 – 2019
- 2019
- [j2]Wanliang Wang, Weikun Li, Yule Wang:
An Opposition-Based Evolutionary Algorithm for Many-Objective Optimization with Adaptive Clustering Mechanism. Comput. Intell. Neurosci. 2019: 5126239:1-5126239:27 (2019) - [j1]Zelin Zang, Wanliang Wang, Yuhang Song, Linyan Lu, Weikun Li, Yule Wang, Yanwei Zhao:
Hybrid Deep Neural Network Scheduler for Job-Shop Problem Based on Convolution Two-Dimensional Transformation. Comput. Intell. Neurosci. 2019: 7172842:1-7172842:19 (2019) - [i1]Rongfang Wang, Jiawei Chen, Yule Wang, Licheng Jiao, Mi Wang:
SAR Image Change Detection via Spatial Metric Learning with an Improved Mahalanobis Distance. CoRR abs/1906.07930 (2019) - 2018
- [c1]Yule Wang, Wanliang Wang, Qin Ren, Yanwei Zhao:
Ecological Scheduling for Small Hydropower Groups Based on Grey Wolf Algorithm with Simulated Annealing. CDVE 2018: 326-334
Coauthor Index
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