aWGRS: Automates paired-end whole genome re-sequencing data analysis framework. - Xiujuan Sun; Fa Zhang 001; Xiaohua Wan; Jinzhi Zhang (BIBM, 2016)

Regression Analysis and Prediction of Mini-Mental State Examination Score in Alzheimer's Disease Using Multi-granularity Whole-Brain Segmentations. - Jinzhi Zhang; Yuan Luo; Zihan Jiang; Xiaoying Tang 001 (ICSH, 2017)

Proximal Policy Optimization and its Dynamic Version for Sequence Generation. - Yi-Lin Tuan; Jinzhi Zhang; Yujia Li; Hung-yi Lee (CoRR, 2018)

SurfaceNet+: An End-to-end 3D Neural Network for Very Sparse Multi-View Stereopsis. - Mengqi Ji; Jinzhi Zhang; Qionghai Dai; Lu Fang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

ParseMVS: Learning Primitive-aware Surface Representations for Sparse Multi-view Stereopsis. - Haiyang Ying; Jinzhi Zhang; Yuzhe Chen; Zheng Cao 005; Jing Xiao 006; Ruqi Huang; Lu Fang 001 (ACM Multimedia, 2022)

ElasticMVS: Learning elastic part representation for self-supervised multi-view stereopsis. - Jinzhi Zhang; Ruofan Tang; Zheng Cao 005; Jing Xiao 006; Ruqi Huang; Lu Fang 001 (NeurIPS, 2022)

SurRF: Unsupervised Multi-View Stereopsis by Learning Surface Radiance Field. - Jinzhi Zhang; Mengqi Ji; Guangyu Wang; Zhiwei Xu 002; Shengjin Wang; Lu Fang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

GigaMVS: A Benchmark for Ultra-Large-Scale Gigapixel-Level 3D Reconstruction. - Jianing Zhang; Jinzhi Zhang; Shi Mao; Mengqi Ji; Guangyu Wang; Zequn Chen; Tian Zhang; Xiaoyun Yuan; Qionghai Dai; Lu Fang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

RealGraph: A Multiview Dataset for 4D Real-world Context Graph Generation. - Haozhe Lin; Zequn Chen; Jinzhi Zhang; Bing Bai; Yu Wang; Ruqi Huang; Lu Fang 001 (ICCV, 2023)

PARF: Primitive-Aware Radiance Fusion for Indoor Scene Novel View Synthesis. - Haiyang Ying; Baowei Jiang; Jinzhi Zhang; Di Xu; Tao Yu 007; Qionghai Dai; Lu Fang 001 (ICCV, 2023)

EffLiFe: Efficient Light Field Generation via Hierarchical Sparse Gradient Descent. - Yijie Deng; Lei Han; Tianpeng Lin; Lin Li; Jinzhi Zhang; Lu Fang 001 (CoRR, 2023)

Utilizing Hyperspectral Reflectance and Machine Learning Algorithms for Non-Destructive Estimation of Chlorophyll Content in Citrus Leaves. - Dasui Li; Qingqing Hu; Siqi Ruan; Jun Liu; Jinzhi Zhang; Chun-Gen Hu; Yongzhong Liu; Yuanyong Dian; Jingjing Zhou (Remote. Sens., 2023)

XScale- NVS: Cross-Scale Novel View Synthesis with Hash Featurized Manifold. - Guangyu Wang; Jinzhi Zhang; Fan Wang; Ruqi Huang; Lu Fang (CVPR, 2024)

OmniSeg3D: Omniversal 3D Segmentation via Hierarchical Contrastive Learning. - Haiyang Ying; Yixuan Yin 001; Jinzhi Zhang; Fan Wang; Tao Yu 007; Ruqi Huang; Lu Fang 001 (CVPR, 2024)

G3PT: Unleash the power of Autoregressive Modeling in 3D Generation via Cross-scale Querying Transformer. - Jinzhi Zhang; Feng Xiong; Mu Xu (CoRR, 2024)

3D representation in 512-Byte:Variational tokenizer is the key for autoregressive 3D generation. - Jinzhi Zhang; Feng Xiong; Mu Xu (CoRR, 2024)

GiganticNVS: Gigapixel Large-Scale Neural Rendering With Implicit Meta-Deformed Manifold. - Guangyu Wang; Jinzhi Zhang; Kai Zhang; Ruqi Huang; Lu Fang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

An Enhanced Feature Extraction Framework for Cross-Modal Image-Text Retrieval. - Jinzhi Zhang; Luyao Wang; Fuzhong Zheng; Xu Wang; Haisu Zhang (Remote. Sens., 2024)

Leaf Nitrogen and Phosphorus Variation and Estimation of Citrus Tree under Two Labor-Saving Cultivation Modes Using Hyperspectral Data. - Dasui Li; Qingqing Hu; Jinzhi Zhang; Yuanyong Dian; Chun-Gen Hu; Jingjing Zhou (Remote. Sens., 2024)

HumanRig: Learning Automatic Rigging for Humanoid Character in a Large Scale Dataset. - Zedong Chu; Feng Xiong; Meiduo Liu; Jinzhi Zhang; Mingqi Shao; Zhaoxu Sun; Di Wang; Mu Xu (CVPR, 2025)