Discrete differential evolution algorithm for the job shop scheduling problem. - Fang Liu 001; Yutao Qi; Zhuchang Xia; Hongxia Hao (GEC Summit, 2009)

Local Maximal Homogeneous Region Search for SAR Speckle Reduction With Sketch-Based Geometrical Kernel Function. - Jie Wu 016; Fang Liu 001; Licheng Jiao; Xiangrong Zhang; Hongxia Hao; Shuang Wang 001 (IEEE Trans. Geosci. Remote. Sens., 2014)

Polarimetric Hierarchical Semantic Model and Scattering Mechanism Based PolSAR Image Classification. - Fang Liu 001; Junfei Shi; Licheng Jiao; Hongying Liu 001; Shuyuan Yang 001; Jie Wu 016; Hongxia Hao; Jialing Yuan (CoRR, 2015)

A Nonlocal Means for Speckle Reduction of SAR Image With Multiscale-Fusion-Based Steerable Kernel Function. - Jie Wu 016; Fang Liu 001; Hongxia Hao; Lingling Li 002; Licheng Jiao; Xiangrong Zhang (IEEE Geosci. Remote. Sens. Lett., 2016)

Hierarchical semantic model and scattering mechanism based PolSAR image classification. - Fang Liu 001; Junfei Shi; Licheng Jiao; Hongying Liu 001; Shuyuan Yang 001; Jie Wu 016; Hongxia Hao; Jialing Yuan (Pattern Recognit., 2016)

A group matching pursuit for image reconstruction. - Wan Li; Fang Liu 001; Licheng Jiao; Hongxia Hao; Shuyuan Yang 001 (Signal Process. Image Commun., 2016)

Distant failure prediction for early stage NSCLC by analyzing PET with sparse representation. - Hongxia Hao; Zhiguo Zhou; Jing Wang 022 (Computer-Aided Diagnosis, 2017)

Constructing multi-modality and multi-classifier radiomics predictive models through reliable classifier fusion. - Zhiguo Zhou; Zhi-Jie Zhou; Hongxia Hao; Shulong Li; Xi Chen; You Zhang 003; Michael Folkert; Jing Wang 022 (CoRR, 2017)

A Novel Image Representation Framework Based on Gaussian Model and Evolutionary Optimization. - Licheng Jiao; Sibo Zhang; Lingling Li 002; Shuyuan Yang 001; Fang Liu 001; Hongxia Hao; Hang Dong (IEEE Trans. Evol. Comput., 2017)

Predicting Lung Nodule Malignancies by Combining Deep Convolutional Neural Network and Handcrafted Features. - Shulong Li; Panpan Xu; Bin Li; Liyuan Chen; Zhiguo Zhou; Hongxia Hao; Yingying Duan; Michael Folkert; Jianhua Ma 001; Steve B. Jiang; Jing Wang 022 (CoRR, 2018)

A pilot study using kernelled support tensor machine for distant failure prediction in lung SBRT. - Shulong Li; Ning Yang; Bin Li; Zhiguo Zhou; Hongxia Hao; Michael R. Folkert; Puneeth Iyengar; Kenneth Westover; Hak Choy; Robert Timmerman; Steve B. Jiang; Jing Wang 022 (Medical Image Anal., 2018)

The Overcomplete Dictionary-Based Directional Estimation Model and Nonconvex Reconstruction Methods. - Leping Lin; Fang Liu 001; Licheng Jiao; Shuyuan Yang 001; Hongxia Hao (IEEE Trans. Cybern., 2018)

A Hybrid Method of SAR Speckle Reduction Based on Geometric-Structural Block and Adaptive Neighborhood. - Fang Liu 001; Jie Wu 016; Lingling Li 002; Licheng Jiao; Hongxia Hao; Xiangrong Zhang (IEEE Trans. Geosci. Remote. Sens., 2018)

A shell and kernel descriptor based joint deep learning model for predicting breast lesion malignancy. - Zhiguo Zhou; Genggeng Qin; Pingkun Yan; Hongxia Hao; Steve B. Jiang; Jing Wang 022 (Computer-Aided Diagnosis, 2019)

Test for Heteroscedasticity in Partially Linear Regression Models. - Waled Khaled; Jin-Guan Lin; Zhong-Cheng Han; Yanyong Zhao; Hongxia Hao (J. Syst. Sci. Complex., 2019)

A Deep Generalized Correlation Network for Bitemporal Image Change Detection. - Rongfang Wang; Weidong Wang; Jiawei Chen 001; Licheng Jiao; Hongxia Hao (IGARSS, 2020)

Application of Multi-Dimensional SNV Features in Supervised Learning. - Liang Yu 002; Lin Gao 006; Bo Li; Hongxia Hao; Lu Chen (BIBM, 2023)

Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning. - Shuxin Zheng; Jiyan He; Chang Liu 030; Yu Shi; Ziheng Lu; Weitao Feng 001; Fusong Ju; Jiaxi Wang; Jianwei Zhu; Yaosen Min; He Zhang; Shidi Tang; et al. (CoRR, 2023)

Identification of a novel gene signature for the prognosis of sepsis. - Kai Yang; Lin Gao 006; Hongxia Hao; Liang Yu 002 (Comput. Biol. Medicine, 2023)

Prediction of cancer drug combinations based on multidrug learning and cancer expression information injection. - Shujie Ren; Lu Chen; Hongxia Hao; Liang Yu 002 (Future Gener. Comput. Syst., 2024)

Predicting equilibrium distributions for molecular systems with deep learning. - Shuxin Zheng; Jiyan He; Chang Liu 030; Yu Shi; Ziheng Lu; Weitao Feng 001; Fusong Ju; Jiaxi Wang; Jianwei Zhu; Yaosen Min; He Zhang; Shidi Tang; et al. (Nat. Mac. Intell., 2024)

Author Correction: Predicting equilibrium distributions for molecular systems with deep learning. - Shuxin Zheng; Jiyan He; Chang Liu 030; Yu Shi; Ziheng Lu; Weitao Feng 001; Fusong Ju; Jiaxi Wang; Jianwei Zhu; Yaosen Min; He Zhang; Shidi Tang; et al. (Nat. Mac. Intell., 2024)

A Multi-Modality Fusion and Gated Multi-Filter U-Net for Water Area Segmentation in Remote Sensing. - Rongfang Wang; Chenchen Zhang; Chao Chen 040; Hongxia Hao; Weibin Li; Licheng Jiao (Remote. Sens., 2024)

NatureLM: Deciphering the Language of Nature for Scientific Discovery. - Yingce Xia; Peiran Jin; Shufang Xie 003; Liang He 010; Chuan Cao; Renqian Luo; Guoqing Liu; Yue Wang 017; Zequn Liu; Yuan-Jyue Chen; Zekun Guo; Yeqi Bai; et al. (CoRR, 2025)

A generative model for inorganic materials design. - Claudio Zeni; Robert Pinsler; Daniel Zügner; Andrew Fowler; Matthew Horton; Xiang Fu 005; Zilong Wang; Aliaksandra Shysheya; Jonathan Crabbé; Shoko Ueda; Roberto Sordillo; Lixin Sun; et al. (Nat., 2025)