PTANet: Triple Attention Network for point cloud semantic segmentation. - Haozhe Cheng; Jian Lu; Mao-Xin Luo; Wei Liu; Kaibing Zhang (Eng. Appl. Artif. Intell., 2021)

Transition Information Enhanced Disentangled Graph Neural Networks for session-based recommendation. - Ansong Li; Jihua Zhu; Zhongyu Li 002; Haozhe Cheng (Expert Syst. Appl., 2022)

HiPDERL: An Improved Implementation of the PDERL Viewshed Algorithm and Accuracy Analysis. - Haozhe Cheng; Wanfeng Dou (ISPRS Int. J. Geo Inf., 2022)

Overlap Bias Matching is Necessary for Point Cloud Registration. - Pengcheng Shi; Jie Zhang; Haozhe Cheng; Junyang Wang 001; Yiyang Zhou; Chenlin Zhao; Jihua Zhu (CoRR, 2023)

DualGenerator: Information Interaction-Based Generative Network for Point Cloud Completion. - Pengcheng Shi; Haozhe Cheng; Xu Han; Yiyang Zhou; Jihua Zhu (IEEE Robotics Autom. Lett., 2023)

Turbo: Informativity-Driven Acceleration Plug-In for Vision-Language Large Models. - Chen Ju; Haicheng Wang; Haozhe Cheng; Xu Chen 026; Zhonghua Zhai; Weilin Huang; Jinsong Lan; Shuai Xiao 002; Bo Zheng (ECCV (46), 2024)

Hyperbolic Image-and-Pointcloud Contrastive Learning for 3D Classification. - Naiwen Hu; Haozhe Cheng; Yifan Xie; Pengcheng Shi; Jihua Zhu (IROS, 2024)

DENOISER: Rethinking the Robustness for Open-Vocabulary Action Recognition. - Haozhe Cheng; Cheng Ju; Haicheng Wang; Jinxiang Liu; Mengting Chen; Qiang Hu; Xiaoyun Zhang; Yanfeng Wang (CoRR, 2024)

3D-JEPA: A Joint Embedding Predictive Architecture for 3D Self-Supervised Representation Learning. - Naiwen Hu; Haozhe Cheng; Yifan Xie; Shiqi Li; Jihua Zhu (CoRR, 2024)

Multi-Trusted Cross-Modal Information Bottleneck for 3D self-supervised representation learning. - Haozhe Cheng; Xu Han; Pengcheng Shi; Jihua Zhu; Zhongyu Li 002 (Knowl. Based Syst., 2024)

EDGCNet: Joint dynamic hyperbolic graph convolution and dual squeeze-and-attention for 3D point cloud segmentation. - Haozhe Cheng; Jihua Zhu; Jian Lu; Xu Han (Expert Syst. Appl., 2024)

Trusted 3D self-supervised representation learning with cross-modal settings. - Xu Han; Haozhe Cheng; Pengcheng Shi; Jihua Zhu (Mach. Vis. Appl., 2024)

PTM: Torus Masking for 3D Representation Learning Guided by Robust and Trusted Teachers. - Haozhe Cheng; Jihua Zhu; Naiwen Hu; Jinqian Chen; Wenbiao Yan (IEEE Trans. Circuits Syst. Video Technol., 2024)

Spatial Semantic Expression of Terrain Viewshed: A Data Mining Method. - Cheng Zhang; Yiwen Wang; Haozhe Cheng; Wanfeng Dou (ISPRS Int. J. Geo Inf., 2025)

Label distribution-driven multi-view representation learning. - Wenbiao Yan; Minghong Wu; Yiyang Zhou; Qinghai Zheng; Jinqian Chen; Haozhe Cheng; Jihua Zhu (Inf. Fusion, 2025)

HP-BEV: a bird's-eye view segmentation model based on spatial height modeling. - Haifeng Sang; Haozhe Cheng (J. Electronic Imaging, 2025)

Partially multi-view clustering via re-alignment. - Wenbiao Yan; Jihua Zhu; Jinqian Chen; Haozhe Cheng; Shunshun Bai; Liang Duan; Qinghai Zheng (Neural Networks, 2025)

BeyondPoints: Curve Fusion and Attention-Driven Local Feature Learning for 3-D Semantic Segmentation. - Liguo Luo; Jian Lu; Kaibing Zhang; Haozhe Cheng; Xiaogai Chen (IEEE Internet Things J., 2025)

PointFM: Point Cloud Understanding by Flow Matching. - Haozhe Cheng; Lintong Wei; Wenjing Wang; Jian Lu; Jiahua Xiao; Jihua Zhu (IEEE Robotics Autom. Lett., 2025)

Neighbor-Based Completion for Addressing Incomplete Multiview Clustering. - Wenbiao Yan; Jihua Zhu; Yiyang Zhou; Jinqian Chen; Haozhe Cheng; Kun Yue; Qinghai Zheng (IEEE Trans. Neural Networks Learn. Syst., 2025)