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ORCIDHeng Fang
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2020 – today
- 2026
[j2]Wenhao Tang, Sheng Huang
, Heng Fang, Fengtao Zhou, Bo Liu, Qingshan Liu:
Multiple Instance Learning Framework with Masked Hard Instance Mining for Gigapixel Histopathology Image Analysis. Int. J. Comput. Vis. 134(1): 41 (2026)- [i14]Heng Fang, Adam J. Stewart, Isaac Corley, Xiao Xiang Zhu, Hossein Azizpour:
Earth Embeddings as Products: Taxonomy, Ecosystem, and Standardized Access. CoRR abs/2601.13134 (2026) - [i13]Caleb Robinson, Nils Lehmann, Adam J. Stewart, Burak Ekim, Heng Fang, Isaac A. Corley, Mauricio Cordeiro:
Advancing Earth Observation Through Machine Learning: A TorchGeo Tutorial. CoRR abs/2603.02386 (2026) - 2025
- [j1]Sebastian Hafner, Heng Fang, Hossein Azizpour, Yifang Ban:
Continuous Urban Change Detection From Satellite Image Time Series With Temporal Feature Refinement and Multitask Integration. IEEE Trans. Geosci. Remote. Sens. 63: 1-18 (2025) - [c12]Xi Wang, Hongzhen Li, Heng Fang, Yichen Peng, Haoran Xie, Xi Yang, Chuntao Li:
LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model. CVPR 2025: 2912-2923 - [c11]Heng Fang:
ColKGC: Collaborative Enhancement using Large Language Model for Knowledge Graph Completion. GAIIS 2025: 66-71 - [c10]Wenhao Tang, Rong Qin, Heng Fang, Fengtao Zhou, Hao Chen, Xiang Li, Ming-Ming Cheng:
Revisiting End-to-End Learning with Slide-level Supervision in Computational Pathology. NeurIPS 2025 - [c9]Heng Fang, Hossein Azizpour:
Leveraging Satellite Image Time Series for Accurate Extreme Event Detection. WACV (Workshops) 2025: 489-498 - [e1]Nicolas Audebert, Hossein Azizpour, Valentin Barrière, Javiera Castillo Navarro, Mikolaj Czerkawski, Heng Fang, Alistair Francis, Valerio Marsocci, Andrea Nascetti, Ritu Yadav:
Proceedings of The TerraBytes {ICML} Workshop: Towards global datasets and models for Earth Observation, 19 July 2025, Vancouver, BC, Canada. Proceedings of Machine Learning Research 292, PMLR 2025 [contents] - [i12]Wenhao Tang, Rong Qin, Heng Fang, Fengtao Zhou, Hao Chen, Xiang Li, Ming-Ming Cheng:
Revisiting End-to-End Learning with Slide-level Supervision in Computational Pathology. CoRR abs/2506.02408 (2025) - [i11]Heng Fang, Hossein Azizpour:
Leveraging Satellite Image Time Series for Accurate Extreme Event Detection. CoRR abs/2506.11544 (2025) - [i10]Wenhao Tang, Sheng Huang, Heng Fang, Fengtao Zhou, Bo Liu, Qingshan Liu:
Multiple Instance Learning Framework with Masked Hard Instance Mining for Gigapixel Histopathology Image Analysis. CoRR abs/2509.11526 (2025) - [i9]Wenhao Tang, Heng Fang, Ge Wu, Xiang Li, Ming-Ming Cheng:
Revisiting Data Challenges of Computational Pathology: A Pack-based Multiple Instance Learning Framework. CoRR abs/2509.20923 (2025) - 2024
- [c8]Heng Fang, Ding Ma:
Cost-Sensitive Ensemble Learning for Venture Capital Exit Prediction. ICMLC 2024: 161-167 - [c7]Qingwen Zhang, Yi Yang, Heng Fang, Ruoyu Geng, Patric Jensfelt:
DeFlow: Decoder of Scene Flow Network in Autonomous Driving. ICRA 2024: 2105-2111 - [c6]Heng Fang, Sheng Huang, Wenhao Tang, Luwen Huangfu, Bo Liu:
SAM-MIL: A Spatial Contextual Aware Multiple Instance Learning Approach for Whole Slide Image Classification. ACM Multimedia 2024: 6083-6092 - [i8]Qingwen Zhang, Yi Yang, Heng Fang, Ruoyu Geng, Patric Jensfelt:
DeFlow: Decoder of Scene Flow Network in Autonomous Driving. CoRR abs/2401.16122 (2024) - [i7]Xi Wang, Yichen Peng, Heng Fang, Haoran Xie, Xi Yang, Chuntao Li:
FilterPrompt: Guiding Image Transfer in Diffusion Models. CoRR abs/2404.13263 (2024) - [i6]Sebastian Hafner, Heng Fang, Hossein Azizpour, Yifang Ban:
Continuous Urban Change Detection from Satellite Image Time Series with Temporal Feature Refinement and Multi-Task Integration. CoRR abs/2406.17458 (2024) - [i5]Heng Fang, Sheng Huang, Wenhao Tang, Luwen Huangfu, Bo Liu:
SAM-MIL: A Spatial Contextual Aware Multiple Instance Learning Approach for Whole Slide Image Classification. CoRR abs/2407.17689 (2024) - [i4]Valerio Marsocci, Yuru Jia, Georges Le Bellier, Dávid Kerekes, Liang Zeng, Sebastian Hafner, Sebastian Gerard, Eric Brune, Ritu Yadav, Ali Shibli, Heng Fang, Yifang Ban, Maarten Vergauwen, Nicolas Audebert, Andrea Nascetti:
PANGAEA: A Global and Inclusive Benchmark for Geospatial Foundation Models. CoRR abs/2412.04204 (2024) - [i3]Xi Wang, Hongzhen Li, Heng Fang, Yichen Peng, Haoran Xie, Xi Yang, Chuntao Li:
LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model. CoRR abs/2412.11519 (2024) - 2022
- [c5]Yi Liu, Huizi Li, Xinlong Pan, Haipeng Wang, Yong Chen, Heng Fang, Hao Liu:
Local Path Planning Algorithm Designed for Unmanned Surface Vessel Based on Improved Genetic Algorithm. BIC-TA 2022: 29-43 - [c4]Fan Huang, Yong Chen, Xinlong Pan, Haipeng Wang, Heng Fang:
Research on Target Detection Algorithm of Unmanned Surface Vehicle Based on Deep Learning. BIC-TA 2022: 275-289 - [c3]Yongzhou Lu, Hao Zhou, Heng Fang, Ziwei Zhao:
Multi-UUV Underwater Target Cooperative Detection Task Planning and Assignment. BIC-TA 2022: 484-495 - [c2]Fan Ye, Heng Fang, Hao Zhou:
The Research of the Consistency Control Under the Condition of Time-Lag of Isomerism AUV Group Communication. BIC-TA 2022: 507-519 - [i2]Beril Sirmaçek, S. Gupta, Fermín Mallor, Hossein Azizpour, Yifang Ban, Hamidreza Eivazi, Heng Fang, F. Golzar, Iolanda Leite, Gaspar Isaac Melsión, Kevin Smith, Francesco Fuso Nerini, Ricardo Vinuesa:
The potential of artificial intelligence for achieving healthy and sustainable societies. CoRR abs/2202.07424 (2022) - 2021
- [c1]Heng Fang, Xi Yang, Taichi Kin, Takeo Igarashi:
Brain Surface Reconstruction from MRI Images based on Segmentation Networks Applying Signed Distance Maps. ISBI 2021: 1164-1168 - [i1]Heng Fang, Xi Yang, Taichi Kin, Takeo Igarashi:
Brain Surface Reconstruction from MRI Images Based on Segmentation Networks Applying Signed Distance Maps. CoRR abs/2104.04291 (2021)
Coauthor Index
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