A class of hybrid DG/FV methods for conservation laws I: Basic formulation and one-dimensional systems. - Laiping Zhang; Liu Wei; Lixin He; Xiaogang Deng; Hanxin Zhang (J. Comput. Phys., 2012)

A class of hybrid DG/FV methods for conservation laws II: Two-dimensional cases. - Laiping Zhang; Liu Wei; Lixin He; Xiaogang Deng; Hanxin Zhang (J. Comput. Phys., 2012)

Clinical study on treatment of neck type cervical spondylosis by Acupoints of Neiguan (PC6) combined with medius haemospasia. - Mingliang Lin; Li Fan; Xinrui Liu; Lixin He (BIBM, 2014)

An algorithm of imaging simulation of fog with different visibility. - Cuimin Sun; Bin Kong; Lixin He; Qiang Tian (ICIA, 2015)

Efficient Method for Designing Associative Memory with Contextual Small-World Architecture. - Jing Yang 041; Lixin He; Bin Kong (ISCID (2), 2016)

基于特征分解与组合的圆形阀门把手的检测与定位 (Detection and Location on Circular Valve Handle Based on Feature Decomposition and Combination). - Lixin He; Bin Kong; Jing Yang 041; Yuanyuan Xu; Bin Wang (计算机科学, 2016)

Quantifying quantum information resources: a numerical study. - Zhen Wang; Lixin He (Sci. China Inf. Sci., 2017)

TNSPackage: A Fortran2003 library designed for tensor network state methods. - Shao-Jun Dong; Wen-Yuan Liu; Chao Wang; Yongjian Han; G.-C. Guo; Lixin He (Comput. Phys. Commun., 2018)

PEPS++: Towards Extreme-Scale Simulations of Strongly Correlated Quantum Many-Particle Models on Sunway TaihuLight. - Lixin He; Hong An; Chao Yang 002; Fei Wang; Junshi Chen; Chao Wang; Weihao Liang; Shao-Jun Dong; Qiao Sun; Wenting Han; Wenyuan Liu; Yongjian Han; et al. (IEEE Trans. Parallel Distributed Syst., 2018)

Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective. - Chengqiang Lu; Qi Liu 003; Chao Wang 086; Zhenya Huang; Peize Lin; Lixin He (AAAI, 2019)

Research on Resource Allocation Algorithm of 5G Network in Multi-Business Smart Grid. - Jing Jiang; Peizhe Xin; Jun Li; Liu Han; Bin Hou; Lixin He (ICCCS, 2021)

Accurate stress calculations based on numerical atomic orbital bases: Implementation and benchmarks. - Daye Zheng; Xinguo Ren; Lixin He (Comput. Phys. Commun., 2021)

AI for Quantum Mechanics: High Performance Quantum Many-Body Simulations via Deep Learning. - Xuncheng Zhao; Mingfan Li; Qian Xiao; Junshi Chen; Fei Wang; Li Shen; Meijia Zhao; Wenhao Wu; Hong An; Lixin He; Xiao Liang (SC, 2022)

Bridging the Gap between Deep Learning and Frustrated Quantum Spin System for Extreme-Scale Simulations on New Generation of Sunway Supercomputer. - Mingfan Li; Junshi Chen; Qian Xiao; Fei Wang; Qingcai Jiang; Xuncheng Zhao; Rongfen Lin; Hong An; Xiao Liang; Lixin He (IEEE Trans. Parallel Distributed Syst., 2022)

GENet: Guidance Enhancement Network for 3D Shape Recognition. - Xiaofeng Wang 009; Qingzhe Cui; Lixiang Xu; Haifeng Liu 004; Lixin He; Bin Luo 001; Sibao Chen 001; Yuanyan Tang (IJCNN, 2023)

GLCNet: Global-Local Complementary Network for 3D Shape Recognition. - Xiaofeng Wang 009; Qingzhe Cui; Lixiang Xu; Haifeng Liu 004; Lixin He; Bin Luo 001; Sibao Chen 001; Yuanyan Tang (IJCNN, 2023)

Long short-term memory network-based wastewater quality prediction model with sparrow search algorithm. - Guobin Li; Qingzhe Cui; Shengnan Wei; Xiaofeng Wang 009; Lixiang Xu; Lixin He; Timothy C. H. Kwong; Yuanyan Tang (Int. J. Wavelets Multiresolution Inf. Process., 2023)

Deep learning representations for quantum many-body systems on heterogeneous hardware. - Xiao Liang; Mingfan Li; Qian Xiao; Junshi Chen; Chao Yang; Hong An; Lixin He (Mach. Learn. Sci. Technol., 2023)

PYATB: An efficient Python package for electronic structure calculations using ab initio tight-binding model. - Gan Jin; Hongsheng Pang; Yuyang Ji; Zujian Dai; Lixin He (Comput. Phys. Commun., 2023)

Single-Crystalline Monolayer Mos2 Arrays Based High-Performance Transistors via Selective-Area CVD Growth Directly on Silicon Wafers. - Guixu Zhu; Xiaodong Zhang; Haotian Fang; Dongdong Sun; Luyang Wang; Zujian Dai; Lizi Wei; Qiuyang Lin; Ao Li; Yufeng Min; Qiuxia Lu; Lixin He; et al. (VLSI Technology and Circuits, 2024)

Semi-Supervised Atmospheric Turbulence Mitigation Based on Hybrid Models. - Wenhao Chu; Zhi Cheng; Lixin He (IEEE Access, 2024)

Harmonizing Covariance and Expressiveness for Deep Hamiltonian Regression in Crystalline Material Research: a Hybrid Cascaded Regression Framework. - Shi Yin; Xinyang Pan; Xudong Zhu; Tianyu Gao; Haochong Zhang; Feng Wu 001; Lixin He (CoRR, 2024)

A Framework of SO(3)-equivariant Non-linear Representation Learning and its Application to Electronic-Structure Hamiltonian Prediction. - Shi Yin; Xinyang Pan; Fengyan Wang; Feng Wu 001; Lixin He (CoRR, 2024)

TNSP: A framework supporting symmetry and fermion tensors for tensor network state methods. - Hao Zhang; Shaojun Dong; Chao Wang; Meng Zhang; Lixin He (Comput. Phys. Commun., 2024)

Towards harmonization of SO(3)-equivariance and expressiveness: a hybrid deep learning framework for electronic-structure Hamiltonian prediction. - Shi Yin; Xinyang Pan; Xudong Zhu; Tianyu Gao; Haochong Zhang; Feng Wu 001; Lixin He (Mach. Learn. Sci. Technol., 2024)

LibRPA: A software package for low-scaling first-principles calculations of random phase approximation electron correlation energy based on numerical atomic orbitals. - Rong Shi; Min-Ye Zhang; Peize Lin; Lixin He; Xinguo Ren (Comput. Phys. Commun., 2025)

End-to-end object detection method based on shape correction and feature selection cross-attention. - Lixin He; Luqing Ge; Zhi Cheng; Xiaofeng Wang; Guangzhuang Yao; Zhi Hu (J. Electronic Imaging, 2025)

Constructing Invariant and Equivariant Operations by Symmetric Tensor Network. - Meng Zhang; Chao Wang; Hao Zhang; Shaojun Dong; Lixin He (CoRR, 2025)