Wenqi Li
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
48
Venues
17
Active years
2013–2026
Best venue rank
A*
Where they publish
Papers
48 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | CHI | From Platform Data to Personal Insight: How Users Make Sense of and Reflect on Personalized Social Media Annual Recaps. | Wenqi Li, Jinghan Zhang, Junyang Ma, Pengyi Zhang |
| 2026 | CHIIR | Improving Data Reusability in Interactive IR: Insights from the Community. | Tianji Jiang, Wenqi Li, Jiqun Liu |
| 2026 | ISCAS | Energy-Efficiency Monitoring and Parallel Fault Protection BMIC for Battery Management. | Guangqian Zhu, Jiayi Yang, Wenqi Li, Wei Guo, Yongyuan Li, Yang Liu, Zhangming Zhu |
| 2025 | CHI | Beyond Explicit and Implicit: How Users Provide Feedback to Shape Personalized Recommendation Content. | Wenqi Li, Jui-Ching Kuo, Manyu Sheng, Pengyi Zhang, Qunfang Wu |
| 2025 | CSCW | "I feel recognized and developed a sense of belonging": Sustaining Volunteer Participation in Ancient Text Collation. | Zisheng Liu, Wenqi Li, Haolei Liu, Pengyi Zhang |
| 2025 | CVPR | VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging. | Yufan He, Pengfei Guo, Yucheng Tang, Andriy Myronenko, Vishwesh Nath, Ziyue Xu, Dong Yang, Can Zhao, Benjamin Simon, Mason Belue, Stephanie A. Harmon, Baris Turkbey, Daguang Xu, Wenqi Li |
| 2025 | CVPR | VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge. | Vishwesh Nath, Wenqi Li, Dong Yang, Andriy Myronenko, Mingxin Zheng, Yao Lu, Zhijian Liu, Hongxu Yin, Yee Man Law, Yucheng Tang, Pengfei Guo, Can Zhao, Ziyue Xu, Yufan He, Stephanie A. Harmon, Benjamin Simon, Greg Heinrich, Stephen R. Aylward, Marc Edgar, Michael Zephyr, Pavlo Molchanov, Baris Turkbey, Holger Roth, Daguang Xu |
| 2025 | ICASSP | An Exceptional Dataset For Rare Pancreatic Tumor Segmentation. | Wenqi Li, Yingli Chen, Keyang Zhou, Xiaoxiao Hu, Zilu Zheng, Yue Yan, Xinpeng Zhang, Wei Tang, Zhenxing Qian |
| 2025 | IROS | DPSN: Dual Prior Knowledge Induced Tactile paving and Obstacle Joint Segmentation Network. | Youqi Song, Wenqi Li, Zhao Zhang, Yu Wu, Zilong Jin, Changbo Wang, Gaoqi He |
| 2025 | MICCAI | A Latent-Guided Hybrid Architecture for Liver Segmentation in Contrast-Enhanced MRI. | Ting Yu Tsai, An Yu, Wenqi Li, Ming-Ching Chang |
| 2024 | ACISP | Towards Scalable and Secure IoTs Transactions: A New Bi-directional Payment Channel Without Third-Party Monitoring. | Zuobin Ying, Qingao Ding, Wenqi Li, Shengmin Xu, Jinbo Xiong |
| 2024 | WACV | IR-FRestormer: Iterative Refinement with Fourier-Based Restormer for Accelerated MRI Reconstruction. | Mohammad Zalbagi Darestani, Vishwesh Nath, Wenqi Li, Yufan He, Holger R. Roth, Ziyue Xu, Daguang Xu, Reinhard Heckel, Can Zhao |
| 2023 | CVPR | Fair Federated Medical Image Segmentation via Client Contribution Estimation. | Meirui Jiang, Holger R. Roth, Wenqi Li, Dong Yang, Can Zhao, Vishwesh Nath, Daguang Xu, Qi Dou, Ziyue Xu |
| 2023 | ICCV | Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples. | Jingwei Sun, Ziyue Xu, Dong Yang, Vishwesh Nath, Wenqi Li, Can Zhao, Daguang Xu, Yiran Chen, Holger R. Roth |
| 2023 | MICCAI | DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation. | Dong Yang, Ziyue Xu, Yufan He, Vishwesh Nath, Wenqi Li, Andriy Myronenko, Ali Hatamizadeh, Can Zhao, Holger R. Roth, Daguang Xu |
| 2022 | CVPR | GradViT: Gradient Inversion of Vision Transformers. | Ali Hatamizadeh, Hongxu Yin, Holger Roth, Wenqi Li, Jan Kautz, Daguang Xu, Pavlo Molchanov |
| 2022 | CVPR | Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis. | Yucheng Tang, Dong Yang, Wenqi Li, Holger R. Roth, Bennett A. Landman, Daguang Xu, Vishwesh Nath, Ali Hatamizadeh |
| 2022 | CVPR | Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. | An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, Ziyue Xu |
| 2022 | ECCV | Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation. | Pengfei Guo, Dong Yang, Ali Hatamizadeh, An Xu, Ziyue Xu, Wenqi Li, Can Zhao, Daguang Xu, Stephanie A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Vishal M. Patel, Holger R. Roth |
| 2022 | MICCAI | Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-modal Brain Tumor Segmentation. | Holger R. Roth, Ali Hatamizadeh, Ziyue Xu, Can Zhao, Wenqi Li, Andriy Myronenko, Daguang Xu |
| 2021 | CHI | Baby Steps for Easier Accessibility: Our practice of making Alibaba Cloud Console more inclusive by taking baby steps. | Wenqi Li, Chenyu Li, Yuwei Yang |
| 2021 | KSEM | Swarm Intelligence-Based Feature Selection: An Improved Binary Grey Wolf Optimization Method. | Wenqi Li, Hui Kang, Tie Feng, Jiahui Li, Zhiru Yue, Geng Sun |
| 2021 | MICCAI | Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures. | Holger R. Roth, Dong Yang, Wenqi Li, Andriy Myronenko, Wentao Zhu, Ziyue Xu, Xiaosong Wang, Daguang Xu |
| 2020 | MICCAI | Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation. | Jingkun Chen, Wenqi Li, Hongwei Li, Jianguo Zhang |
| 2020 | MICCAI | Federated Learning for Breast Density Classification: A Real-World Implementation. | Holger R. Roth, Ken Chang, Praveer Singh, Nir Neumark, Wenqi Li, Vikash Gupta, Sharut Gupta, Liangqiong Qu, Alvin Ihsani, Bernardo C. Bizzo, Yuhong Wen, Varun Buch, Meesam Shah, Felipe Kitamura, Matheus Mendona, Vitor Lavor, Ahmed Harouni, Colin Compas, Jesse Tetreault, Prerna Dogra, Yan Cheng, Selnur Erdal, Richard D. White, Behrooz Hashemian, Thomas J. Schultz, Miao Zhang, Adam McCarthy, B. Min Yun, Elshaimaa Sharaf, Katharina Viktoria Hoebel, Jay B. Patel, Bryan Chen, Sean Ko, Evan Leibovitz, Etta D. Pisano, Laura Coombs, Daguang Xu, Keith J. Dreyer, Ittai Dayan, Ram C. Naidu, Mona Flores, Daniel L. Rubin, Jayashree Kalpathy-Cramer |
| 2020 | MICCAI | LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation. | Wentao Zhu, Can Zhao, Wenqi Li, Holger Roth, Ziyue Xu, Daguang Xu |
| 2020 | WACV | NeurReg: Neural Registration and Its Application to Image Segmentation. | Wentao Zhu, Andriy Myronenko, Ziyue Xu, Wenqi Li, Holger Roth, Yufang Huang, Fausto Milletari, Daguang Xu |
| 2019 | CSCW | How Consistent Is Your GUI Design? | Wenqi Li, Chenyu Li, Yuwei Yang |
| 2019 | ICNC | Capacity Analysis and Improvement Scheme Basing on the TPS of Qtum Block Chain. | Wenqi Li, Zhihuai Li, Fusen Wang |
| 2019 | MICCAI | Privacy-Preserving Federated Brain Tumour Segmentation. | Wenqi Li, Fausto Milletar, Daguang Xu, Nicola Rieke, Jonny Hancox, Wentao Zhu, Maximilian Baust, Yan Cheng, Sbastien Ourselin, M. Jorge Cardoso, Andrew Feng |
| 2019 | MICCAI | Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss. | Guotai Wang, Jonathan Shapey, Wenqi Li, Reuben Dorent, Alex Demitriadis, Sotirios Bisdas, Ian Paddick, Robert Bradford, Shaoting Zhang, Sbastien Ourselin, Tom Vercauteren |
| 2018 | ISPA | Robot Patrol Path Planning Based on Combined Deep Reinforcement Learning. | Wenqi Li, Dehua Chen, Jiajin Le |
| 2018 | MICCAI | Uncertainty in Multitask Learning: Joint Representations for Probabilistic MR-only Radiotherapy Planning. | Felix J. S. Bragman, Ryutaro Tanno, Zach Eaton-Rosen, Wenqi Li, David J. Hawkes, Sbastien Ourselin, Daniel C. Alexander, Jamie R. McClelland, M. Jorge Cardoso |
| 2018 | MICCAI | An Automated Localization, Segmentation and Reconstruction Framework for Fetal Brain MRI. | Michael Ebner, Guotai Wang, Wenqi Li, Michael Aertsen, Premal A. Patel, Rosalind Aughwane, Andrew Melbourne, Tom Doel, Anna L. David, Jan Deprest, Sbastien Ourselin, Tom Vercauteren |
| 2018 | MICCAI | Deep Boosted Regression for MR to CT Synthesis. | Kerstin Klser, Pawel Markiewicz, Marta Bianca Maria Ranzini, Wenqi Li, Marc Modat, Brian F. Hutton, David Atkinson, Kris Thielemans, M. Jorge Cardoso, Sbastien Ourselin |
| 2018 | MICCAI | Automatic Brain Tumor Segmentation Using Convolutional Neural Networks with Test-Time Augmentation. | Guotai Wang, Wenqi Li, Sbastien Ourselin, Tom Vercauteren |
| 2017 | IROS | ToolNet: Holistically-nested real-time segmentation of robotic surgical tools. | Luis C. Garca-Peraza-Herrera, Wenqi Li, Lucas Fidon, Caspar Gruijthuijsen, Alain Devreker, George Attilakos, Jan Deprest, Emmanuel B. Vander Poorten, Danail Stoyanov, Tom Vercauteren, Sbastien Ourselin |
| 2017 | MICCAI | Scalable Multimodal Convolutional Networks for Brain Tumour Segmentation. | Lucas Fidon, Wenqi Li, Luis C. Garca-Peraza-Herrera, Jinendra Ekanayake, Neil Kitchen, Sbastien Ourselin, Tom Vercauteren |
| 2017 | MICCAI | Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation Using Holistic Convolutional Networks. | Lucas Fidon, Wenqi Li, Luis C. Garca-Peraza-Herrera, Jinendra Ekanayake, Neil Kitchen, Sbastien Ourselin, Tom Vercauteren |
| 2017 | MICCAI | Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations. | Carole H. Sudre, Wenqi Li, Tom Vercauteren, Sbastien Ourselin, M. Jorge Cardoso |
| 2017 | MICCAI | Automatic Brain Tumor Segmentation Using Cascaded Anisotropic Convolutional Neural Networks. | Guotai Wang, Wenqi Li, Sbastien Ourselin, Tom Vercauteren |
| 2016 | CSCW | Out of Time, Out of Place: Reflections on Design Workshops as a Research Method. | Daniela K. Rosner, Saba Kawas, Wenqi Li, Nicole Tilly, Yi-Chen Sung |
| 2016 | MICCAI | Real-Time Segmentation of Non-rigid Surgical Tools Based on Deep Learning and Tracking. | Luis C. Garca-Peraza-Herrera, Wenqi Li, Caspar Gruijthuijsen, Alain Devreker, George Attilakos, Jan Deprest, Emmanuel B. Vander Poorten, Danail Stoyanov, Tom Vercauteren, Sbastien Ourselin |
| 2015 | MICCAI | Multiple Instance Cancer Detection by Boosting Regularised Trees. | Wenqi Li, Jianguo Zhang, Stephen J. McKenna |
| 2014 | ICPR | HEp-2 Cell Classification Using Multi-resolution Local Patterns and Ensemble SVMs. | Siyamalan Manivannan, Wenqi Li, Shazia Akbar, Ruixuan Wang, Jianguo Zhang, Stephen J. McKenna |
| 2014 | ICPR | HEp-2 Specimen Classification Using Multi-resolution Local Patterns and SVM. | Siyamalan Manivannan, Wenqi Li, Shazia Akbar, Ruixuan Wang, Jianguo Zhang, Stephen J. McKenna |
| 2013 | ANT | Influencing Factors of Methane/Moist-air Laminar Boundary Layer in Micro-channel. | Jingyu Ran, Ruirui Wang, Li Zhang, Wenqi Li, Dexiang Yang |
| 2013 | MICCAI | Learning from Partially Annotated OPT Images by Contextual Relevance Ranking. | Wenqi Li, Jianguo Zhang, Wei-Shi Zheng, Maria Coats, Frank A. Carey, Stephen J. McKenna |