Qizhi He - RankMe

40 papers C 1Journal 31Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Differentiable Inverse Modeling with Physics-Constrained Latent Diffusion for Heterogeneous Subsurface Parameter Fields. CoRR Zihan Lin, Qizhi He
2025	J	`jnl`	Differentiable neural-integrated meshfree method for forward and inverse modeling of finite strain hyperelasticity. Eng. Comput. Honghui Du, Binyao Guo, Qizhi He
2025	J	`jnl`	Digitalization drives green transformation of supply chains: a two-stage evolutionary game analysis. Ann. Oper. Res. Wei Fan, Xinhang Wu, Qizhi He
2025	J	`jnl`	History-Aware Neural Operator: Robust Data-Driven Constitutive Modeling of Path-Dependent Materials. CoRR Binyao Guo, Zihan Lin, Qizhi He
2025	J	`jnl`	Intellectual property protection and platform digitalization empowering technology entrepreneurship in emerging markets. Oper. Res. Lett. Wenhao Du, Qizhi He, Tengteng Cao, Junjun Wu
2025	J	`jnl`	JAX-MPM: A Learning-Augmented Differentiable Meshfree Framework for GPU-Accelerated Lagrangian Simulation and Geophysical Inverse Modeling. CoRR Honghui Du, Qizhi He
2024	J	`jnl`	Differentiable Neural-Integrated Meshfree Method for Forward and Inverse Modeling of Finite Strain Hyperelasticity. CoRR Honghui Du, Binyao Guo, Qizhi He
2024	—	`conf`	High-Precision Control of Mechanical Flywheel Based on RBF-PID Algorithm with Disturbance Compensator. ISCID Cong Zhang, Yue Wang, Hao Wu, Qizhi He
2023	J	`jnl`	A Comparison Research on Dynamic Characteristics of Chinese and American Energy Prices. J. Glob. Inf. Manag. Qizhi He, Xu Zhang, Pingfan Xia, Chenyu Zhao, Shuangbo Li
2023	J	`jnl`	A Hybrid Deep Neural Operator/Finite Element Method for Ice-Sheet Modeling. CoRR Qizhi He, Mauro Perego, Amanda A. Howard, George Em Karniadakis, Panos Stinis
2023	J	`jnl`	A Multi-Resolution Physics-Informed Recurrent Neural Network: Formulation and Application to Musculoskeletal Systems. CoRR Karan Taneja, Xiaolong He, Qizhi He, Jiun-Shyan Chen
2023	J	`jnl`	A hybrid deep neural operator/finite element method for ice-sheet modeling. J. Comput. Phys. Qizhi He, Mauro Perego, Amanda A. Howard, George Em Karniadakis, Panos Stinis
2023	J	`jnl`	Bifurcation analysis and complex dynamics of a Kopel triopoly model. J. Comput. Appl. Math. Bo Li, Yue Zhang, Xiaoliang Li, Zohreh Eskandari, Qizhi He
2023	J	`jnl`	Coke price prediction approach based on dense GRU and opposition-based learning salp swarm algorithm. Int. J. Bio Inspired Comput. Xuhui Zhu, Pingfan Xia, Qizhi He, Zhiwei Ni, Liping Ni
2023	J	`jnl`	Flying Through a Narrow Gap Using End-to-End Deep Reinforcement Learning Augmented With Curriculum Learning and Sim2Real. IEEE Trans. Neural Networks Learn. Syst. Chenxi Xiao, Peng Lu, Qizhi He
2023	C	`conf`	Group Signature Authentication Scheme with Credit Evaluation Mechanism in VANET. CSCWD Yanfei Lu, Suzhen Cao, Qizhi He, Zixuan Fang, Junjian Yan, Yi Guo
2023	J	`jnl`	Neural-Integrated Meshfree (NIM) Method: A differentiable programming-based hybrid solver for computational mechanics. CoRR Honghui Du, Qizhi He
2022	J	`jnl`	A novel prediction model based on long short-term memory optimised by dynamic evolutionary glowworm swarm optimisation for money laundering risk. Int. J. Bio Inspired Comput. Pingfan Xia, Zhiwei Ni, Xuhui Zhu, Qizhi He, Qian Chen
2022	J	`jnl`	Deep autoencoders for physics-constrained data-driven nonlinear materials modeling. CoRR Xiaolong He, Qizhi He, Jiun-Shyan Chen
2022	J	`jnl`	Enhanced physics-constrained deep neural networks for modeling vanadium redox flow battery. CoRR Qizhi He, Yucheng Fu, Panos Stinis, Alexandre M. Tartakovsky
2022	J	`jnl`	L1 Adaptive Structure-Based Nonlinear Dynamic Inversion Control for Aircraft with Center of Gravity Variations. J. Intell. Robotic Syst. Yu Li, Xiaoxiong Liu, Qizhi He, Ruichen Ming, Wei Huang, Weiguo Zhang
2022	J	`jnl`	Physics-Informed Neural Network Method for Parabolic Differential Equations with Sharply Perturbed Initial Conditions. CoRR Yifei Zong, Qizhi He, Alexandre M. Tartakovsky
2022	—	`conf`	Privacy protection scheme based on certificateless in VSN s environment. MSN Yanfei Lu, Suzhen Cao, Yi Guo, Qizhi He, Zixuan Fang, Junjian Yan
2021	J	`jnl`	A multicriteria group decision-making method based on AIVIFSs, Z-numbers, and trapezium clouds. Inf. Sci. Qianlei Jia, Jiayue Hu, Qizhi He, Weiguo Zhang, Ehab Safwat
2021	—	`conf`	Deep Autoencoders for Nonlinear Physics-Constrained Data-Driven Computational Framework with Application to Biological Tissue Modeling. AAAI Spring Symposium: MLPS Xiaolong He, Qizhi He, Jiun-Shyan Chen
2021	J	`jnl`	Dynamic Cross-Market Volatility Spillover Based on MSV Model: Evidence from Bitcoin, Gold, Crude Oil, and Stock Markets. Complex. Jing Zhang, Qizhi He
2021	J	`jnl`	Flying Through a Narrow Gap Using End-to-end Deep Reinforcement Learning Augmented with Curriculum Learning and Sim2Real. CoRR Chenxi Xiao, Peng Lu, Qizhi He
2021	J	`jnl`	Physics-constrained deep neural network method for estimating parameters in a redox flow battery. CoRR Qizhi He, Panos Stinis, Alexandre M. Tartakovsky
2021	J	`jnl`	Physics-informed machine learning with conditional Karhunen-Loève expansions. J. Comput. Phys. Alexandre M. Tartakovsky, David A. Barajas-Solano, Qizhi He
2020	J	`jnl`	Patient Specific Biomechanics Are Clinically Significant In Accurate Computer Aided Surgical Image Guidance. CoRR Michael Barrow, Alice Chao, Qizhi He, Sonia Ramamoorthy, Claude B. Sirlin, Ryan Kastner
2020	J	`jnl`	Reconfigurable Nonlinear Dynamic Inversion for Attitude Control of a Structurally Damaged Aircraft. IEEE Access Qizhi He, Yi Tan, Xiaoxiong Liu, Qianlei Jia, Jinglong Liu
2019	J	`jnl`	A Physics-Constrained Data-Driven Approach Based on Locally Convex Reconstruction for Noisy Database. CoRR Qizhi He, Jiun-Shyan Chen
2019	J	`jnl`	Physics-Informed Neural Networks for Multiphysics Data Assimilation with Application to Subsurface Transport. CoRR Qizhi He, David Barajas-Solano, Guzel Tartakovsky, Alexandre M. Tartakovsky
2018	—	`—`	Model Order Reduction and Data-Driven Computational Modeling for Linear and Nonlinear Solids. Qizhi He
2012	J	`jnl`	Research on the Dynamic Relationship between Prices of Agricultural Futures in China and Japan. J. Comput. Qizhi He
2009	—	`conf`	Chinese Synthesized Term Structure of Interest Rate. JCAI Qizhi He
2009	J	`jnl`	Decision-making for Investment Based On Option and Term Structure. J. Softw. Qizhi He
2009	—	`conf`	Empirical Research on the Relationship between the Liquidity Level and the Trading Volume of Rubber Futures. JCAI Qizhi He
2009	—	`conf`	The Influences of Liquidity Surplus on the Price of Fuel Oil Future in China. JCAI Qizhi He
2009	—	`conf`	The Relationship between Prices of Domestic and Foreign Futures Market. BIFE Qizhi He