Nihang Fu - RankMe

20 papers B 1Journal 18Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Facet: highly efficient E(3)-equivariant networks for interatomic potentials. CoRR Nicholas Miklaucic, Lai Wei, Rongzhi Dong, Nihang Fu, Sadman Sadeed Omee, Qingyang Li, Sourin Dey, Victor Fung, Jianjun Hu
2024	J	`jnl`	Structure-based out-of-distribution (OOD) materials property prediction: a benchmark study. CoRR Sadman Sadeed Omee, Nihang Fu, Rongzhi Dong, Ming Hu, Jianjun Hu
2023	J	`jnl`	Generative Design of inorganic compounds using deep diffusion language models. CoRR Rongzhi Dong, Nihang Fu, Dirisuriya M. D. Siriwardane, Jianjun Hu
2023	J	`jnl`	Global Mapping of Structures and Properties of Crystal Materials. J. Chem. Inf. Model. Qinyang Li, Rongzhi Dong, Nihang Fu, Sadman Sadeed Omee, Lai Wei, Jianjun Hu
2023	J	`jnl`	MD-HIT: Machine learning for materials property prediction with dataset redundancy control. CoRR Qin Li, Nihang Fu, Sadman Sadeed Omee, Jianjun Hu
2023	J	`jnl`	Material transformers: deep learning language models for generative materials design. Mach. Learn. Sci. Technol. Nihang Fu, Lai Wei, Yuqi Song, Qinyang Li, Rui Xin, Sadman Sadeed Omee, Rongzhi Dong, Edirisuriya M. Dilanga Siriwardane, Jianjun Hu
2023	J	`jnl`	Probabilistic generative transformer language models for generative design of molecules. J. Cheminformatics Lai Wei, Nihang Fu, Yuqi Song, Qian Wang, Jianjun Hu
2023	J	`jnl`	Simultaneously-Collected Multimodal Lying Pose Dataset: Enabling In-Bed Human Pose Monitoring. IEEE Trans. Pattern Anal. Mach. Intell. Shuangjun Liu, Xiaofei Huang, Nihang Fu, Cheng Li, Zhongnan Su, Sarah Ostadabbas
2022	—	`conf`	Appearance-Independent Pose-Based Posture Classification in Infants. ICPR Workshops (1) Xiaofei Huang, Shuangjun Liu, Michael Wan, Nihang Fu, David Li Pino, Bharath R. Modayur, Sarah Ostadabbas
2022	J	`jnl`	Composition based oxidation state prediction of materials using deep learning. CoRR Nihang Fu, Jeffrey Hu, Ying Feng, Gregory Morrison, Hans-Conrad zur Loye, Jianjun Hu
2022	J	`jnl`	Materials Transformers Language Models for Generative Materials Design: a benchmark study. CoRR Nihang Fu, Lai Wei, Yuqi Song, Qinyang Li, Rui Xin, Sadman Sadeed Omee, Rongzhi Dong, Edirisuriya M. Dilanga Siriwardane, Jianjun Hu
2022	J	`jnl`	Physics Guided Generative Adversarial Networks for Generations of Crystal Materials with Symmetry Constraints. CoRR Yong Zhao, Edirisuriya M. Dilanga Siriwardane, Zhenyao Wu, Ming Hu, Nihang Fu, Jianjun Hu
2022	J	`jnl`	Probabilistic Generative Transformer Language models for Generative Design of Molecules. CoRR Lai Wei, Nihang Fu, Yuqi Song, Qian Wang, Jianjun Hu
2022	J	`jnl`	Scalable deeper graph neural networks for high-performance materials property prediction. Patterns Sadman Sadeed Omee, Steph-Yves M. Louis, Nihang Fu, Lai Wei, Sourin Dey, Rongzhi Dong, Qinyang Li, Jianjun Hu
2021	J	`jnl`	Heuristic Weakly Supervised 3D Human Pose Estimation in Novel Contexts without Any 3D Pose Ground Truth. CoRR Shuangjun Liu, Xiaofei Huang, Nihang Fu, Sarah Ostadabbas
2021	B	`conf`	Invariant Representation Learning for Infant Pose Estimation with Small Data. FG Xiaofei Huang, Nihang Fu, Shuangjun Liu, Sarah Ostadabbas
2021	J	`jnl`	Scalable deeper graph neural networks for high-performance materials property prediction. CoRR Sadman Sadeed Omee, Steph-Yves M. Louis, Nihang Fu, Lai Wei, Sourin Dey, Rongzhi Dong, Qinyang Li, Jianjun Hu
2021	J	`jnl`	Semi-supervised teacher-student deep neural network for materials discovery. CoRR Daniel Gleaves, Edirisuriya M. Dilanga Siriwardane, Yong Zhao, Nihang Fu, Jianjun Hu
2020	J	`jnl`	Infant Pose Learning with Small Data. CoRR Xiaofei Huang, Nihang Fu, Sarah Ostadabbas
2020	J	`jnl`	Simultaneously-Collected Multimodal Lying Pose Dataset: Towards In-Bed Human Pose Monitoring under Adverse Vision Conditions. CoRR Shuangjun Liu, Xiaofei Huang, Nihang Fu, Cheng Li, Zhongnan Su, Sarah Ostadabbas