Junyan He - RankMe

18 papers Journal 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Active RIS-Enabled NLoS LEO Satellite Communications: A Three-Timescale Optimization Framework. IEEE Commun. Lett. Ziwei Liu, Junyan He, Shanshan Zhao, Meng Hua, Bin Lyu, Xinjie Zhao, Gengxin Zhang
2026	J	`jnl`	Nonlinear inverse design of mechanical multi-material metamaterials enabled by video denoising diffusion and structure identifier. Eng. Appl. Artif. Intell. Jaewan Park, Shashank Kushwaha, Junyan He, Seid Koric, Qibang Liu, Iwona Jasiuk, Diab W. Abueidda
2025	J	`jnl`	Using a consensus machine learning approach to identify host biomarkers associated with treatment response in pulmonary tuberculosis. Briefings Bioinform. Ruiqi Zhang, Fusheng Yao, Wenqi Liu, Qiao Lin, Yuanyuan Huang, Min Huang, Junyan He, Guobao Li, Guoliang Zhang
2024	J	`jnl`	Advanced Deep Operator Networks to Predict Multiphysics Solution Fields in Materials Processing and Additive Manufacturing. CoRR Shashank Kushwaha, Jaewan Park, Seid Koric, Junyan He, Iwona Jasiuk, Diab W. Abueidda
2024	J	`jnl`	Geom-DeepONet: A Point-cloud-based Deep Operator Network for Field Predictions on 3D Parameterized Geometries. CoRR Junyan He, Seid Koric, Diab W. Abueidda, Ali Najafi, Iwona Jasiuk
2024	J	`jnl`	Material-Response-Informed DeepONet and its Application to Polycrystal Stress-strain Prediction in Crystal Plasticity. CoRR Junyan He, Deepankar Pal, Ali Najafi, Diab W. Abueidda, Seid Koric, Iwona Jasiuk
2024	J	`jnl`	Nonlinear Inverse Design of Mechanical Multi-Material Metamaterials Enabled by Video Denoising Diffusion and Structure Identifier. CoRR Jaewan Park, Shashank Kushwaha, Junyan He, Seid Koric, Qibang Liu, Iwona Jasiuk, Diab W. Abueidda
2024	J	`jnl`	Sequential Deep Operator Networks (S-DeepONet) for predicting full-field solutions under time-dependent loads. Eng. Appl. Artif. Intell. Junyan He, Shashank Kushwaha, Jaewan Park, Seid Koric, Diab W. Abueidda, Iwona Jasiuk
2023	J	`jnl`	Effect of the cross-section architecture on the impact resistance of bio-inspired low-porosity structures using neural networks. CoRR Shashank Kushwaha, Junyan He, Diab W. Abueidda, Iwona Jasiuk
2023	J	`jnl`	Multi-component Predictions of Transient Solution Fields with Sequential Deep Operator Network. CoRR Junyan He, Shashank Kushwaha, Jaewan Park, Seid Koric, Diab W. Abueidda, Iwona Jasiuk
2023	J	`jnl`	Novel DeepONet architecture to predict stresses in elastoplastic structures with variable complex geometries and loads. CoRR Junyan He, Seid Koric, Shashank Kushwaha, Jaewan Park, Diab W. Abueidda, Iwona Jasiuk
2023	J	`jnl`	Sequential Deep Learning Operator Network (S-DeepONet) for Time-Dependent Loads. CoRR Jaewan Park, Shashank Kushwaha, Junyan He, Seid Koric, Diab W. Abueidda, Iwona Jasiuk
2022	J	`jnl`	A deep learning energy-based method for classical elastoplasticity. CoRR Junyan He, Diab W. Abueidda, Rashid K. Abu Al-Rub, Seid Koric, Iwona Jasiuk
2022	J	`jnl`	Deep energy method in topology optimization applications. CoRR Junyan He, Shashank Kushwaha, Charul Chadha, Seid Koric, Diab W. Abueidda, Iwona Jasiuk
2022	J	`jnl`	Exploring the structure-property relations of thin-walled, 2D extruded lattices using neural networks. CoRR Junyan He, Shashank Kushwaha, Diab W. Abueidda, Iwona M. Jasiuk
2022	J	`jnl`	LatticeOPT: A heuristic topology optimization framework for thin-walled, 2D extruded lattices. CoRR Junyan He, Shashank Kushwaha, Diab W. Abueidda, Iwona M. Jasiuk
2022	J	`jnl`	On the use of graph neural networks and shape-function-based gradient computation in the deep energy method. CoRR Junyan He, Diab W. Abueidda, Seid Koric, Iwona Jasiuk
2020	J	`jnl`	Checking Heteroscedasticity in Partially Linear Single-Index Models Using Pairwise Distance. IEEE Access Jian-Qiang Zhao, Jianquan Li, Yan-Yong Zhao, Junyan He, Waled Khaled