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2020 – today
- 2024
[j7]Evi M. C. Huijben
, Maarten L. Terpstra, Arthur Jr Galapon, Suraj Pai, Adrian Thummerer, Peter Koopmans, Manya Afonso, Maureen A. J. M. van Eijnatten, Oliver J. Gurney-Champion, Zeli Chen, Yiwen Zhang, Kaiyi Zheng, Chuanpu Li, Haowen Pang, Chuyang Ye, Runqi Wang, Tao Song, Fuxin Fan, Jingna Qiu, Yixing Huang, Juhyung Ha, Jong Sung Park, Alexandra Alain-Beaudoin, Silvain Bériault, Pengxin Yu, Hongbin Guo, Zhanyao Huang, Gengwan Li, Xueru Zhang, Yubo Fan, Han Liu, Bowen Xin, Aaron Nicolson, Lujia Zhong, Zhiwei Deng, Gustav Müller-Franzes, Firas Khader, Xia Li, Ye Zhang, Cédric Hémon, Valentin Boussot, Zhihao Zhang, Long Wang, Lu Bai, Shaobin Wang, Derk Mus, Bram Kooiman, Chelsea A. H. Sargeant, Edward G. A. Henderson, Satoshi Kondo, Satoshi Kasai, Reza Karimzadeh, Bulat Ibragimov, Thomas Helfer, Jessica Dafflon, Zijie Chen, Enpei Wang, Zoltán Perkó, Matteo Maspero:
Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report. Medical Image Anal. 97: 103276 (2024)- [c9]Runqi Wang, Huixin Sun, Linlin Yang, Shaohui Lin, Chuanjian Liu, Yan Gao, Yao Hu, Baochang Zhang:
AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries. AAAI 2024: 15598-15606 - [c8]Caoyuan Ma, Runqi Wang, Wu Liu, Ziqiao Zhou, Zheng Wang:
Learning a Dynamic Neural Human via Poses Guided Dual Spaces Feature. AVSS 2024: 1-8 - [c7]Runqi Wang, Zehong Cao, Yichu He, Jiameng Liu, Feng Shi, Dinggang Shen:
Clinical Brain MRI Super-Resolution with 2D Slice-Wise Diffusion Model. MLMI@MICCAI (1) 2024: 166-176 - [i10]Runqi Wang, Caoyuan Ma, GuoPeng Li, Zheng Wang:
TAAT: Think and Act from Arbitrary Texts in Text2Motion. CoRR abs/2404.14745 (2024) - 2023
- [j6]Runqi Wang, Zhen Liu, Baochang Zhang, Guodong Guo, David S. Doermann:
Few-Shot Learning with Complex-Valued Neural Networks and Dependable Learning. Int. J. Comput. Vis. 131(1): 385-404 (2023) - [j5]Runqi Wang, Linlin Yang, Hanlin Chen, Wei Wang, David S. Doermann, Baochang Zhang:
Anti-Bandit for Neural Architecture Search. Int. J. Comput. Vis. 131(10): 2682-2698 (2023) - [c6]Runqi Wang, Xiaoyue Duan, Guoliang Kang, Jianzhuang Liu, Shaohui Lin, Songcen Xu, Jinhu Lv, Baochang Zhang:
AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning. CVPR 2023: 3654-3663 - [c5]Runqi Wang, Hao Zheng, Xiaoyue Duan, Jianzhuang Liu, Yuning Lu, Tian Wang, Songcen Xu, Baochang Zhang:
Few-Shot Learning with Visual Distribution Calibration and Cross-Modal Distribution Alignment. CVPR 2023: 23445-23454 - [c4]Hao Zheng, Runqi Wang, Jianzhuang Liu, Asako Kanezaki:
Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification. ICLR 2023 - [i9]Runqi Wang, Hao Zheng, Xiaoyue Duan, Jianzhuang Liu, Yuning Lu, Tian Wang, Songcen Xu, Baochang Zhang:
Few-Shot Learning with Visual Distribution Calibration and Cross-Modal Distribution Alignment. CoRR abs/2305.11439 (2023) - [i8]Runqi Wang, Xiaoyue Duan, Guoliang Kang, Jianzhuang Liu, Shaohui Lin, Songcen Xu, Jinhu Lv, Baochang Zhang:
AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning. CoRR abs/2305.11488 (2023) - [i7]Yuguang Yang, Yiming Wang, Shupeng Geng, Runqi Wang, Yimi Wang, Sheng Wu, Baochang Zhang:
Self-Enhancement Improves Text-Image Retrieval in Foundation Visual-Language Models. CoRR abs/2306.06691 (2023) - [i6]Hao Zheng, Runqi Wang, Jianzhuang Liu, Asako Kanezaki:
Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification. CoRR abs/2311.02392 (2023) - 2022
- [j4]Lei Deng, Dayun Liu, Yizhan Li, Runqi Wang, Junyi Liu, Jiaxuan Zhang, Hui Liu:
MSPCD: predicting circRNA-disease associations via integrating multi-source data and hierarchical neural network. BMC Bioinform. 23-S(3): 427 (2022) - [j3]Lei Li, Shaojun Ma, Runqi Wang, Yiping Wang, Yilin Zheng:
Citizen Participation in the Co-Production of Urban Natural Resource Assets: Analysis Based on Social Media Big Data. J. Glob. Inf. Manag. 30(6): 1-21 (2022) - [j2]Junhe Zhao, Sheng Xu, Runqi Wang, Baochang Zhang, Guodong Guo, David S. Doermann, Dianmin Sun:
Data-adaptive binary neural networks for efficient object detection and recognition. Pattern Recognit. Lett. 153: 239-245 (2022) - [c3]Runqi Wang, Yuxiang Bao, Baochang Zhang, Jianzhuang Liu, Wentao Zhu, Guodong Guo:
Anti-retroactive Interference for Lifelong Learning. ECCV (24) 2022: 163-178 - [i5]Runqi Wang, Linlin Yang, Baochang Zhang, Wentao Zhu, David S. Doermann, Guodong Guo:
Confidence Dimension for Deep Learning based on Hoeffding Inequality and Relative Evaluation. CoRR abs/2203.09082 (2022) - [i4]Runqi Wang, Yuxiang Bao, Baochang Zhang, Jianzhuang Liu, Wentao Zhu, Guodong Guo:
Anti-Retroactive Interference for Lifelong Learning. CoRR abs/2208.12967 (2022) - [i3]Xiaoyue Duan, Guoliang Kang, Runqi Wang, Shumin Han, Song Xue, Tian Wang, Baochang Zhang:
Rethinking the Number of Shots in Robust Model-Agnostic Meta-Learning. CoRR abs/2211.15180 (2022) - 2021
- [c2]Song Xue, Runqi Wang, Baochang Zhang, Tian Wang, Guodong Guo, David S. Doermann:
IDARTS: Interactive Differentiable Architecture Search. ICCV 2021: 1143-1152 - [c1]Runqi Wang, Wei Zeng, Yuehan Yao:
3rd Solution to WAB Challenge: A Two Stage Model Using only Pixel-level Features for Video-Image Retrieval. WAB @ ACM Multimedia 2021: 15-18 - [i2]Runqi Wang, Baochang Zhang, Li'an Zhuo, Qixiang Ye, David S. Doermann:
Cogradient Descent for Dependable Learning. CoRR abs/2106.10617 (2021) - [i1]Runqi Wang, Xiaoyue Duan, Baochang Zhang, Song Xue, Wentao Zhu, David S. Doermann, Guodong Guo:
Associative Adversarial Learning Based on Selective Attack. CoRR abs/2112.13989 (2021) - 2020
- [j1]Jingyi Shen, Runqi Wang, Han-Wei Shen:
Visual exploration of latent space for traditional Chinese music. Vis. Informatics 4(2): 99-108 (2020)
Coauthor Index
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