Wenzhe Yin

27 papers A* 2A 3B 2Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A deep reinforcement learning based hierarchical obstacle crossing planner for multi-robot cooperative transportation.
Robotics Auton. Syst.
Wenzhe Yin, Guowei Zhao, Zhibo Pang
2026 J jnl
Towards Uniformity and Alignment for Multimodal Representation Learning.
CoRR
Wenzhe Yin, Pan Zhou, Zehao Xiao, Jie Liu, Shujian Yu, Jan-Jakob Sonke, Efstratios Gavves
2025 A* conf
Cross-Modal Retrieval with Cauchy-Schwarz Divergence.
ACM Multimedia
Jiahao Zhang, Wenzhe Yin, Shujian Yu
2025 J jnl
Cross-Modal Retrieval with Cauchy-Schwarz Divergence.
CoRR
Jiahao Zhang, Wenzhe Yin, Shujian Yu
2025 J jnl
Deep ensemble learning and error correction method for remaining useful life prediction of rolling bearings.
Eng. Appl. Artif. Intell.
Wenzhe Yin, Hong Xia, Enrico Zio, Xueying Huang
2025 J jnl
Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence.
CoRR
Wenzhe Yin, Zehao Xiao, Pan Zhou, Shujian Yu, Jiayi Shen, Jan-Jakob Sonke, Efstratios Gavves
2025 J jnl
Fault detection for time-varying process in nuclear power plants based on improved moving window and dynamic kernel principal component analysis.
Reliab. Eng. Syst. Saf.
Wenzhe Yin, Shaomin Zhu, Hong Xia
2025 J jnl
Geometric Neural Process Fields.
CoRR
Wenzhe Yin, Zehao Xiao, Jiayi Shen, Yunlu Chen, Cees G. M. Snoek, Jan-Jakob Sonke, Efstratios Gavves
2025 A* conf
Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes.
ICML
Jie Liu, Pan Zhou, Zehao Xiao, Jiayi Shen, Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves
2025 J jnl
Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes.
CoRR
Jie Liu, Pan Zhou, Zehao Xiao, Jiayi Shen, Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves
2024 — conf
Click Prompt Learning with Optimal Transport for Interactive Segmentation.
ECCV (33)
Jie Liu, Haochen Wang, Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves
2024 A conf
Domain Adaptation with Cauchy-Schwarz Divergence.
UAI
Wenzhe Yin, Shujian Yu, Yicong Lin, Jie Liu, Jan-Jakob Sonke, Efstratios Gavves
2024 J jnl
Domain Adaptation with Cauchy-Schwarz Divergence.
CoRR
Wenzhe Yin, Shujian Yu, Yicong Lin, Jie Li, Jan-Jakob Sonke, Efstratios Gavves
2024 — conf
Dynamic Prototype Adaptation with Distillation for Few-shot Point Cloud Segmentation.
3DV
Jie Liu, Wenzhe Yin, Haochen Wang, Yunlu Chen, Jan-Jakob Sonke, Efstratios Gavves
2024 J jnl
Dynamic Prototype Adaptation with Distillation for Few-shot Point Cloud Segmentation.
CoRR
Jie Liu, Wenzhe Yin, Haochen Wang, Yunlu Chen, Jan-Jakob Sonke, Efstratios Gavves
2023 J jnl
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network.
CoRR
Jie Liu, Yanqi Bao, Wenzhe Yin, Haochen Wang, Yang Gao, Jan-Jakob Sonke, Efstratios Gavves
2023 J jnl
Motion Flow Matching for Human Motion Synthesis and Editing.
CoRR
Vincent Tao Hu, Wenzhe Yin, Pingchuan Ma, Yunlu Chen, Basura Fernando, Yuki M. Asano, Efstratios Gavves, Pascal Mettes, Björn Ommer, Cees G. M. Snoek
2023 J jnl
PC-Reg: A pyramidal prediction-correction approach for large deformation image registration.
Medical Image Anal.
Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves
2022 A conf
Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network.
BMVC
Jie Liu, Yanqi Bao, Wenzhe Yin, Haochen Wang, Yang Gao, Jan-Jakob Sonke, Efstratios Gavves
2022 B conf
Non-rigid registration of temporal live cell microscopy image sequences using deep learning.
Image Processing
Wenzhe Yin, Vadim O. Chagin, M. Cristina Cardoso, Karl Rohr
2022 J jnl
Principle of Relevant Information for Graph Sparsification.
CoRR
Shujian Yu, Francesco Alesiani, Wenzhe Yin, Robert Jenssen, José C. Príncipe
2022 A conf
Principle of relevant information for graph sparsification.
UAI
Shujian Yu, Francesco Alesiani, Wenzhe Yin, Robert Jenssen, José C. Príncipe
2021 B conf
Bilevel Continual Learning.
IJCNN
Ammar Shaker, Francesco Alesiani, Shujian Yu, Wenzhe Yin
2020 J jnl
Bilevel Continual Learning.
CoRR
Ammar Shaker, Francesco Alesiani, Shujian Yu, Wenzhe Yin
2020 J jnl
Learning an Interpretable Graph Structure in Multi-Task Learning.
CoRR
Shujian Yu, Francesco Alesiani, Ammar Shaker, Wenzhe Yin
2020 J jnl
Towards Interpretable Multi-Task Learning Using Bilevel Programming.
CoRR
Francesco Alesiani, Shujian Yu, Ammar Shaker, Wenzhe Yin
2020 — conf
Towards Interpretable Multi-task Learning Using Bilevel Programming.
ECML/PKDD (2)
Francesco Alesiani, Shujian Yu, Ammar Shaker, Wenzhe Yin