New approach for the sequential pattern mining of high-dimensional sequence databases. - Hongyan Liu 002; Fangzhou Lin; Jun He 008; Yunjue Cai (Decis. Support Syst., 2010)

FPCC-Net: Fast Point Cloud Clustering for Instance Segmentation. - Yajun Xu; Shogo Arai; Diyi Liu; Fangzhou Lin; Kazuhiro Kosuge (CoRR, 2020)

Relation is an option for processing context information. - Kazunori D. Yamada; M. Samy Baladram; Fangzhou Lin (Frontiers Artif. Intell., 2022)

Cosmos Propagation Network: Deep learning model for point cloud completion. - Fangzhou Lin; Yajun Xu; Ziming Zhang; Chenyang Gao; Kazunori D. Yamada (Neurocomputing, 2022)

FPCC: Fast point cloud clustering-based instance segmentation for industrial bin-picking. - Yajun Xu; Shogo Arai; Diyi Liu; Fangzhou Lin; Kazuhiro Kosuge (Neurocomputing, 2022)

An Effective Convolutional Neural Network for Visualized Understanding Transboundary Air Pollution Based on Himawari-8 Satellite Images. - Fangzhou Lin; Chenyang Gao; Kazunori D. Yamada (IEEE Geosci. Remote. Sens. Lett., 2022)

Conditional Feature Learning Based Transformer for Text-Based Person Search. - Chenyang Gao; Guanyu Cai; Xinyang Jiang; Feng Zheng; Jun Zhang 018; Yifei Gong; Fangzhou Lin; Xing Sun 001; Xiang Bai (IEEE Trans. Image Process., 2022)

Hyperbolic Chamfer Distance for Point Cloud Completion. - Fangzhou Lin; Yun Yue; Songlin Hou; Xuechu Yu; Yajun Xu; Kazunori D. Yamada; Ziming Zhang (ICCV, 2023)

InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion. - Fangzhou Lin; Yun Yue; Ziming Zhang; Songlin Hou; Kazunori D. Yamada; Vijaya B. Kolachalama; Venkatesh Saligrama (NeurIPS, 2023)

Hyperbolic Contrastive Learning. - Yun Yue; Fangzhou Lin; Kazunori D. Yamada; Ziming Zhang (CoRR, 2023)

Loss Distillation via Gradient Matching for Point Cloud Completion with Weighted Chamfer Distance. - Fangzhou Lin; Haotian Liu; Haoying Zhou; Songlin Hou; Kazunori D. Yamada; Gregory S. Fischer; Yanhua Li; Haichong K. Zhang; Ziming Zhang (IROS, 2024)

Understanding Hyperbolic Metric Learning through Hard Negative Sampling. - Yun Yue; Fangzhou Lin; Guanyi Mou; Ziming Zhang (WACV, 2024)

Deep Loss Convexification for Learning Iterative Models. - Ziming Zhang; Yuping Shao; Yiqing Zhang 003; Fangzhou Lin; Haichong Zhang; Elke A. Rundensteiner (CoRR, 2024)

SPADE: Spectroscopic Photoacoustic Denoising using an Analytical and Data-free Enhancement Framework. - Fangzhou Lin; Shang Gao; Yichuan Tang; Xihan Ma; Ryo Murakami; Ziming Zhang; John Obayemi; Winston (Wole) Oluwole Soboyejo; Haichong K. Zhang (CoRR, 2024)

Hyperbolic Chamfer Distance for Point Cloud Completion and Beyond. - Fangzhou Lin; Songlin Hou; Haotian Liu; Shang Gao; Kazunori D. Yamada; Haichong K. Zhang; Ziming Zhang (CoRR, 2024)

GPS: A Probabilistic Distributional Similarity with Gumbel Priors for Set-to-Set Matching. - Ziming Zhang; Fangzhou Lin; Haotian Liu; Jose Morales; Haichong Zhang; Kazunori D. Yamada; Vijaya B. Kolachalama; Venkatesh Saligrama (ICLR, 2025)

Informative As-Built Modeling as a Foundation for Digital Twins Based on Fine-Grained Object Recognition and Object-Aware Scan-vs-BIM for MEP Scenes. - Boyu Wang; Fangzhou Lin; Mingkai Li; Zhenyu Liang; Zhengyi Chen; Mingzhu Wang; Jack C. P. Cheng (Adv. Eng. Informatics, 2025)

Mobile Augmented Reality Framework with Fusional Localization and Pose Estimation. - Songlin Hou; Fangzhou Lin; Yunmei Huang; Zhe Peng; Bin Xiao 001 (CoRR, 2025)

A Language Anchor-Guided Method for Robust Noisy Domain Generalization. - Zilin Dai; Lehong Wang; Fangzhou Lin; Yidong Wang; Zhigang Li; Kazunori D. Yamada; Ziming Zhang; Wang Lu (CoRR, 2025)

Deep Loss Convexification for Learning Iterative Models. - Ziming Zhang; Yuping Shao; Yiqing Zhang 003; Fangzhou Lin; Haichong K. Zhang; Elke A. Rundensteiner (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

A Strong View-Free Baseline Approach for Single-View Image Guided Point Cloud Completion. - Fangzhou Lin; Zilin Dai; Rigved Sanku; Songlin Hou; Kazunori D. Yamada; Haichong K. Zhang; Ziming Zhang (CoRR, 2025)

KANMixer: Can KAN Serve as a New Modeling Core for Long-term Time Series Forecasting? - Lingyu Jiang; Yuping Wang; Yao Su 003; Shuo Xing; Wenjing Chen; Xin Zhang; Zhengzhong Tu; Ziming Zhang; Fangzhou Lin; Michael R. Zielewski; Kazunori D. Yamada (CoRR, 2025)