Runqi Wang

According to our database, Runqi Wang authored at least 18 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries.

Runqi Wang, Huixin Sun, Linlin Yang, Shaohui Lin, Chuanjian Liu, Yan Gao, Yao Hu, Baochang Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Anti-Bandit for Neural Architecture Search.

Runqi Wang, Linlin Yang, Hanlin Chen, Wei Wang, David S. Doermann, Baochang Zhang

Int. J. Comput. Vis., October, 2023

Few-Shot Learning with Complex-Valued Neural Networks and Dependable Learning.

Runqi Wang, Zhen Liu, Baochang Zhang, Guodong Guo, David S. Doermann

Int. J. Comput. Vis., 2023

Self-Enhancement Improves Text-Image Retrieval in Foundation Visual-Language Models.

Yuguang Yang, Yiming Wang, Shupeng Geng, Runqi Wang, Yimi Wang, Sheng Wu, Baochang Zhang

CoRR, 2023

Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification.

Hao Zheng, Runqi Wang, Jianzhuang Liu, Asako Kanezaki

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Few-Shot Learning with Visual Distribution Calibration and Cross-Modal Distribution Alignment.

Runqi Wang, Hao Zheng, Xiaoyue Duan, Jianzhuang Liu, Yuning Lu, Tian Wang, Songcen Xu, Baochang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning.

Runqi Wang, Xiaoyue Duan, Guoliang Kang, Jianzhuang Liu, Shaohui Lin, Songcen Xu, Jinhu Lv, Baochang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Data-adaptive binary neural networks for efficient object detection and recognition.

Junhe Zhao, Sheng Xu, Runqi Wang, Baochang Zhang, Guodong Guo, David S. Doermann, Dianmin Sun

Pattern Recognit. Lett., 2022

Citizen Participation in the Co-Production of Urban Natural Resource Assets: Analysis Based on Social Media Big Data.

Lei Li, Shaojun Ma, Runqi Wang, Yiping Wang, Yilin Zheng

J. Glob. Inf. Manag., 2022

Rethinking the Number of Shots in Robust Model-Agnostic Meta-Learning.

Xiaoyue Duan, Guoliang Kang, Runqi Wang, Shumin Han, Song Xue, Tian Wang, Baochang Zhang

CoRR, 2022

Confidence Dimension for Deep Learning based on Hoeffding Inequality and Relative Evaluation.

Runqi Wang, Linlin Yang, Baochang Zhang, Wentao Zhu, David S. Doermann, Guodong Guo

CoRR, 2022

MSPCD: predicting circRNA-disease associations via integrating multi-source data and hierarchical neural network.

Lei Deng, Dayun Liu, Yizhan Li, Runqi Wang, Junyi Liu, Jiaxuan Zhang, Hui Liu

BMC Bioinform., 2022

Anti-retroactive Interference for Lifelong Learning.

Runqi Wang, Yuxiang Bao, Baochang Zhang, Jianzhuang Liu, Wentao Zhu, Guodong Guo

Proceedings of the Computer Vision, 2022

2021

Associative Adversarial Learning Based on Selective Attack.

Runqi Wang, Xiaoyue Duan, Baochang Zhang, Song Xue, Wentao Zhu, David S. Doermann, Guodong Guo

CoRR, 2021

Cogradient Descent for Dependable Learning.

Runqi Wang, Baochang Zhang, Li'an Zhuo, Qixiang Ye, David S. Doermann

CoRR, 2021

3rd Solution to WAB Challenge: A Two Stage Model Using only Pixel-level Features for Video-Image Retrieval.

Runqi Wang, Wei Zeng, Yuehan Yao

Proceedings of the WAB'21: Proceedings of the 1st Workshop on Multimodal Product Identification in Livestreaming and WAB Challenge, 2021

IDARTS: Interactive Differentiable Architecture Search.

Song Xue, Runqi Wang, Baochang Zhang, Tian Wang, Guodong Guo, David S. Doermann

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Visual exploration of latent space for traditional Chinese music.

Jingyi Shen, Runqi Wang, Han-Wei Shen

Vis. Informatics, 2020