Haiwen Huang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Adaptive Learning Rate

Geospatial Data

Detecting Objects

Top Venues

Pattern Recognit.

Publications

Juntong Chen, Haiwen Huang, Huayuan Ye, Zhong Peng, Chenhui Li, Changbo Wang
SalienTime: User-driven Selection of Salient Time Steps for Large-Scale Geospatial Data Visualization. CoRR (2024)
Juntong Chen, Haiwen Huang, Huayuan Ye, Zhong Peng, Chenhui Li, Changbo Wang
SalienTime: User-driven Selection of Salient Time Steps for Large-Scale Geospatial Data Visualization. CHI (2024)
Haiwen Huang, Songyou Peng, Dan Zhang, Andreas Geiger
Renovating Names in Open-Vocabulary Segmentation Benchmarks. CoRR (2024)
Haiwen Huang, Andreas Geiger, Dan Zhang
GOOD: Exploring geometric cues for detecting objects in an open world. ICLR (2023)
Haiwen Huang, Andreas Geiger, Dan Zhang
GOOD: Exploring Geometric Cues for Detecting Objects in an Open World. CoRR (2022)
Hui Wang, Zheng Zhang, Bo Zhang, Yue Mi, Jingyun Wu, Haiwen Huang, Zibo Ma, Wendong Wang
A Feature Regularization Based Meta-Learning Framework for Generalizing Prostate Mri Segmentation. ISBI (2022)
Yu Bai, Yue Mi, Yihan Su, Bo Zhang, Zheng Zhang, Jingyun Wu, Haiwen Huang, Yongping Xiong, Xiangyang Gong, Wendong Wang
A Scalable Graph-Based Framework for Multi-Organ Histology Image Classification. IEEE J. Biomed. Health Informatics 26 (11) (2022)
Shuo Yan, Zheng Zhang, Bo Zhang, Yue Mi, Jingyun Wu, Haiwen Huang, Xirong Que, Wendong Wang
MPTGAN: A Multimodal Prior-Based Triple-Branch Network for Fast Prostate Mri Reconstruction. ISBI (2022)
Zibo Ma, Bo Zhang, Zheng Zhang, Wendong Wang, Yue Mi, Haiwen Huang, Jingyun Wu
ACL-Net: Adaptive and Collaborative Learning Network for Multi-Site Prostate MRI Segmentation. Big Data (2022)
Bo Zhang, Yunpeng Tan, Hui Wang, Zheng Zhang, Xiuzhuang Zhou, Jingyun Wu, Yue Mi, Haiwen Huang, Wendong Wang
LSRML: A latent space regularization based meta-learning framework for MR image segmentation. Pattern Recognit. 130 (2022)
Haiwen Huang, Joost van Amersfoort, Yarin Gal
Decomposing Representations for Deterministic Uncertainty Estimation. CoRR (2021)
Haiwen Huang, Zhihan Li, Lulu Wang, Sishuo Chen, Xinyu Zhou, Bin Dong
Feature Space Singularity for Out-of-Distribution Detection. SafeAI@AAAI (2021)
Fan Zhang, Bo Zhang, Zheng Zhang, Yue Mi, Jingyun Wu, Haiwen Huang, Xirong Que, Wendong Wang
MFSL-Net: A Modality Fusion and Shape Learning based Cascaded Network for Prostate Tumor Segmentation. IEEE BigData (2021)
Lewis Smith, Joost van Amersfoort, Haiwen Huang, Stephen J. Roberts, Yarin Gal
Can convolutional ResNets approximately preserve input distances? A frequency analysis perspective. CoRR (2021)
Haiwen Huang, Zhihan Li, Lulu Wang, Sishuo Chen, Bin Dong, Xinyu Zhou
Feature Space Singularity for Out-of-Distribution Detection. CoRR (2020)
Haiwen Huang, Chang Wang, Bin Dong
Nostalgic Adam: Weighting More of the Past Gradients When Designing the Adaptive Learning Rate. IJCAI (2019)
Haiwen Huang, Chang Wang, Bin Dong
Nostalgic Adam: Weighing more of the past gradients when designing the adaptive learning rate. CoRR (2018)