Fangzhou Lin

According to our database, Fangzhou Lin authored at least 40 papers between 2010 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Physics-Aware Video Instance Removal Benchmark.

Zirui Li, Xinghao Chen, Lingyu Jiang, Dengzhe Hou, Fangzhou Lin, Kazunori D. Yamada, Xiangbo Gao, Zhengzhong Tu

CoRR, April, 2026

AdaptFuse: Training-Free Sequential Preference Learning via Externalized Bayesian Inference.

Fangzhou Lin, Peiran Li, Shuo Xing, Siyuan Yang, Qianwen Ge, Kazunori D. Yamada, Ziming Zhang, Haichong Zhang, Zhengzhong Tu

CoRR, April, 2026

Let the Abyss Stare Back Adaptive Falsification for Autonomous Scientific Discovery.

Peiran Li, Fangzhou Lin, Shuo Xing, Jiashuo Sun, Dylan Zhang, Siyuan Yang, Chaoqun Ni, Zhengzhong Tu

CoRR, March, 2026

Industrial3D: A Terrestrial LiDAR Point Cloud Dataset and CrossParadigm Benchmark for Industrial Infrastructure.

Chao Yin, Hongzhe Yue, Qing Han, Difeng Hu, Zhenyu Liang, Fangzhou Lin, Bing Sun, Boyu Wang, Mingkai Li, Wei Yao, Jack C. P. Cheng

CoRR, March, 2026

Beyond Completion: Probing Cumulative State Tracking to Predict LLM Agent Performance.

Dengzhe Hou, Lingyu Jiang, Deng Li, Zirui Li, Fangzhou Lin, Kazunori D. Yamada

CoRR, March, 2026

The Pulse of Motion: Measuring Physical Frame Rate from Visual Dynamics.

Xiangbo Gao, Mingyang Wu, Siyuan Yang, Jiongze Yu, Pardis Taghavi, Fangzhou Lin, Zhengzhong Tu

CoRR, March, 2026

Traversal-as-Policy: Log-Distilled Gated Behavior Trees as Externalized, Verifiable Policies for Safe, Robust, and Efficient Agents.

Peiran Li, Jiashuo Sun, Fangzhou Lin, Shuo Xing, Tianfu Fu, Suofei Feng, Chaoqun Ni, Zhengzhong Tu

CoRR, March, 2026

Position: Human-Centric AI Requires a Minimum Viable Level of Human Understanding.

Fangzhou Lin, Qianwen Ge, Lingyu Xu, Peiran Li, Xiangbo Gao, Shuo Xing, Kazunori D. Yamada, Ziming Zhang, Haichong Zhang, Zhengzhong Tu

CoRR, February, 2026

BibAgent: An Agentic Framework for Traceable Miscitation Detection in Scientific Literature.

Peiran Li, Fangzhou Lin, Shuo Xing, Xiang Zheng, Xi Hong, Siyuan Yang, Jiashuo Sun, Zhengzhong Tu, Chaoqun Ni

CoRR, January, 2026

DfMA-Oriented Rebar Design Optimization for Reinforced Concrete Slabs Using a Hybrid Mechanism Integrating Graph Neural Networks and Metaheuristic Algorithms.

Mingkai Li, Fangzhou Lin, Tao Wang, Difeng Hu, Hanmo Wang, Boyu Wang, Jack C. P. Cheng

J. Comput. Civ. Eng., 2026

Damage assessment of thermal-humidity-mechanical coupling field of early-age concrete based on adaptive physics informed neural network.

Shiqi Wang, Yue Chen, Jinlong Liu, Fangzhou Lin, Lei Xu

Eng. Appl. Artif. Intell., 2026

Enhancing the prediction accuracy of concrete properties with knowledge constrained data augmentation and tabular foundation model.

Lin Deng, Linghui Xie, Sijia Zhu, Zhi Li, Fangzhou Lin

Appl. Soft Comput., 2026

Parallel framework for intelligent prediction of multi-site fugitive dust: Combined with DustLSTM-Trans and FedProx-Dyn.

Fangzhou Lin, Lei Xu, Chen Lyu, Yue Chen, Zihan Ma, Shiyu Zhuang, Mingfei Zhang, Shiqi Wang

Adv. Eng. Informatics, 2026

Empowering building emergency response with large language models and BIM-Based knowledge graphs.

Fangzhou Lin, Mingkai Li, Boyu Wang, Qian Wang, Xiao Zhang, Jack C. P. Cheng, Zhengyi Chen

Adv. Eng. Informatics, 2026

2025

GRAFT: Grid-Aware Load Forecasting with Multi-Source Textual Alignment and Fusion.

Fangzhou Lin, Guoshun He, Zhenyu Guo, Zhe Huang, Jinsong Tao

CoRR, December, 2025

NexusFlow: Unifying Disparate Tasks under Partial Supervision via Invertible Flow Networks.

Fangzhou Lin, Yuping Wang, Yuliang Guo, Zixun Huang, Xinyu Huang, Haichong Zhang, Kazunori D. Yamada, Zhengzhong Tu, Liu Ren, Ziming Zhang

CoRR, December, 2025

TimePre: Bridging Accuracy, Efficiency, and Stability in Probabilistic Time-Series Forecasting.

Lingyu Jiang, Lingyu Xu, Peiran Li, Qianwen Ge, Dingyi Zhuang, Shuo Xing, Wenjing Chen, Xiangbo Gao, Ting-Hsuan Chen, Xueying Zhan, Xin Zhang, Ziming Zhang, Zhengzhong Tu, Michael Zielewski, Kazunori D. Yamada, Fangzhou Lin

CoRR, November, 2025

SafeCoop: Unravelling Full Stack Safety in Agentic Collaborative Driving.

Xiangbo Gao, Tzu-Hsiang Lin, Ruojing Song, Yuheng Wu, Kuan-Ru Huang, Zicheng Jin, Fangzhou Lin, Shinan Liu, Zhengzhong Tu

CoRR, October, 2025

KANMixer: Can KAN Serve as a New Modeling Core for Long-term Time Series Forecasting?

Lingyu Jiang, Yuping Wang, Yao Su, Shuo Xing, Wenjing Chen, Xin Zhang, Zhengzhong Tu, Ziming Zhang, Fangzhou Lin, Michael R. Zielewski, Kazunori D. Yamada

CoRR, August, 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, June, 2025

Deep Loss Convexification for Learning Iterative Models.

Ziming Zhang, Yuping Shao, Yiqing Zhang, Fangzhou Lin, Haichong K. Zhang, Elke A. Rundensteiner

IEEE Trans. Pattern Anal. Mach. Intell., March, 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, March, 2025

Mobile Augmented Reality Framework with Fusional Localization and Pose Estimation.

Songlin Hou, Fangzhou Lin, Yunmei Huang, Zhe Peng, Bin Xiao

CoRR, January, 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

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

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

Deep Loss Convexification for Learning Iterative Models.

Ziming Zhang, Yuping Shao, Yiqing Zhang, Fangzhou Lin, Haichong Zhang, Elke A. Rundensteiner

CoRR, 2024

Understanding Hyperbolic Metric Learning through Hard Negative Sampling.

Yun Yue, Fangzhou Lin, Guanyi Mou, Ziming Zhang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

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

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023

Hyperbolic Contrastive Learning.

Yun Yue, Fangzhou Lin, Kazunori D. Yamada, Ziming Zhang

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hyperbolic Chamfer Distance for Point Cloud Completion.

Fangzhou Lin, Yun Yue, Songlin Hou, Xuechu Yu, Yajun Xu, Kazunori D. Yamada, Ziming Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Conditional Feature Learning Based Transformer for Text-Based Person Search.

Chenyang Gao, Guanyu Cai, Xinyang Jiang, Feng Zheng, Jun Zhang, Yifei Gong, Fangzhou Lin, Xing Sun, Xiang Bai

IEEE Trans. Image Process., 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

FPCC: Fast point cloud clustering-based instance segmentation for industrial bin-picking.

Yajun Xu, Shogo Arai, Diyi Liu, Fangzhou Lin, Kazuhiro Kosuge

Neurocomputing, 2022

Cosmos Propagation Network: Deep learning model for point cloud completion.

Fangzhou Lin, Yajun Xu, Ziming Zhang, Chenyang Gao, Kazunori D. Yamada

Neurocomputing, 2022

Relation is an option for processing context information.

Kazunori D. Yamada, M. Samy Baladram, Fangzhou Lin

Frontiers Artif. Intell., 2022

2020

FPCC-Net: Fast Point Cloud Clustering for Instance Segmentation.

Yajun Xu, Shogo Arai, Diyi Liu, Fangzhou Lin, Kazuhiro Kosuge

CoRR, 2020

2010

New approach for the sequential pattern mining of high-dimensional sequence databases.

Hongyan Liu, Fangzhou Lin, Jun He, Yunjue Cai

Decis. Support Syst., 2010