Wentao Ma. Qingchao Chen. Fang Liu. Tongqing Zhou. Zhiping Chai, "Query-Adaptive Late Fusion for Hierarchical Fine-Grained Video-Text Retrieval", in IEEE Transactions on Neural Networks and Learning Systems.
Xu, Yinsong, Zhuqing Jiang, Aidong Men, Yang Liu, and Qingchao Chen. "Delving into the Continuous Domain Adaptation." ACM Multimedia Conference 2022. (CCF-A Conference)
Zhu, Yonggang, Chao Tian, Zhuqing Jiang, Aidong Men, Haiying Wang, and Qingchao Chen. "Mixed In Time And Modality: Curse Or Blessing Cross-Instance Data Augmentation for Weakly Supervised Multimodal Temporal Fusion." IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.
Yang Liu; Qingchao Chen; Samuel Albanie; Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR2021) (CCF-A Conference)
Qingchao Chen; Yang Liu; Samuel Albanie; Mind-the-Gap! Unsupervised Domain Adaptation for Text-Video Retrieval, Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI2021) (CCF-A Conference)
Selected papers; Please check the full list in the google scholar page.
Zheng, Minghang, Yanjie Huang, Qingchao Chen, and Yang Liu. "Weakly supervised video moment localization with contrastive negative sample mining." In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 1, no. 2, p. 3. 2022. (CCF-A Conference)
Zheng, Minghang, Yanjie Huang, Qingchao Chen, Yuxin Peng, and Yang Liu. "Weakly Supervised Temporal Sentence Grounding With Gaussian-Based Contrastive Proposal Learning." In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 15555-15564. 2022. (CCF-A Conference)
Self, Alice, Qingchao Chen, Bapu Koundinya Desiraju, Sumeet Dhariwal, Alexander D. Gleed, Divyanshu Mishra, Ramachandran Thiruvengadam et al. "Developing Clinical Artificial Intelligence for Obstetric Ultrasound to Improve Access in Underserved Regions: Protocol for a Computer-Assisted Low-Cost Point-of-Care UltraSound (CALOPUS) Study." JMIR research protocols 11, no. 9 (2022): e37374.
Xu, Yinsong, Zhuqing Jiang, Aidong Men, Yang Liu, and Qingchao Chen. "Delving into the Continuous Domain Adaptation." ACM Multimedia Conference 2022. (CCF-A Conference)
Zhu, Yonggang, Chao Tian, Zhuqing Jiang, Aidong Men, Haiying Wang, and Qingchao Chen. "Mixed In Time And Modality: Curse Or Blessing Cross-Instance Data Augmentation for Weakly Supervised Multimodal Temporal Fusion." IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.
Yang Liu; Qingchao Chen; Samuel Albanie; Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR2021) (CCF-A Conference)
Qingchao Chen; Yang Liu; Samuel Albanie; Mind-the-Gap! Unsupervised Domain Adaptation for Text-Video Retrieval, Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI2021) (CCF-A Conference)
Qingchao Chen; Yang Liu; Structure-Aware Feature Fusion for Unsupervised Domain Adaptation, Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI2020) (CCF-A Conference)
Karl Woodbridge; Kevin Chetty; Qingchao Chen; Bo Tan；Micro-Doppler Radar and its Applications; Book Chapter, Passive radar approaches for healthcare，SciTech, 2020
Qingchao Chen; Yang Liu; Francesco Fioranelli; Matthew Ritchie; Bo Tan; Kevin Chetty; DopNet: A Deep Convolutional Neural Network to Recognize Armed and Unarmed Human Targets, IEEE Sensors Journal, 2019, 19(11): 4160-4171.
Qingchao Chen; Yang Liu; Francesco Fioranelli; Matthew Ritchie; Kevin Chetty; Eliminate Aspect Angle Variations for Human Activity Recognition using Unsupervised Deep Adaptation Network, IEEE National Conference on Radar 2019
Qingchao Chen; Yang Liu; Zhaowen Wang; Ian Wassell; Kevin Chetty; Re-weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR2018) (CCF-A Conference)
Yang Liu; Qingchao Chen; Wei Chen; Ian Wassell; Dictionary Learning Inspired Deep Network for Scene Recognition, Thirty-Second AAAI Conference on Artificial Intelligence (AAAI2018) (CCF-A Conference)
Bo Tan; Qingchao Chen; Kevin Chetty; Karl Woodbridge; Wenda Li; Robert Piechocki; Exploiting WiFi channel state information for residential healthcare informatics, IEEE Communications Magazine, 2018, 56(5): 130-137.
Qingchao Chen; Bo Tan; Karl Woodbridge; Kevin Chetty, Doppler Based Detection of Multiple Targets in Passive Wi-Fi Radar Using Underdetermined Blind Source Separation, 2018 International Conference on Radar
Qingchao Chen; Kevin Chetty; Paul Brennan; Lai Bun Lok; Matthiew Ritchie; Karl Woodbridge; A coherent through-wall MIMO phased array imaging radar based on time-duplexed switching, SPIE Defense and Security Conference 2017
Qingchao Chen; Matthew Ritchie; Yang Liu; Kevin Chetty; Karl Woodbridge; Joint fall and aspect angle recognition using fine-grained micro-Doppler classification, IEEE National Conference on Radar 2017
Qingchao Chen; Kevin Chetty; Karl Woobridge; Bo Tan; Signs of life detection using wireless passive radar, IEEE National Conference on Radar 2016, Philadelphia
Qingchao Chen; Bo Tan; Kevin Chetty; Karl Woodbridge; Activity recognition based on micro-Doppler signature with in-home Wi-Fi, IEEE International Conference on e-health Networking, Applications and Services (HealthCom), Munich Germany 2016
Qingchao Chen; Bo Tan; Karl Woodbridge; Kevin Chetty；Indoor target tracking using high doppler resolution passive Wi-Fi radar,2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
