8 citations · 13 across the 6 of their papers we have counts for
6 papers
Autonomous Crowdsensing: Operating and Organizing Crowdsensing for Sensing Automation
Wansen Wu, Weiyi Yang, Juanjuan Li +6
The precise characterization and modeling of Cyber-Physical-Social Systems (CPSS) requires more comprehensive and accurate data, which imposes heightened demands on intelligent sen…
DAP: Domain-aware Prompt Learning for Vision-and-Language Navigation
Ting Liu, Yue Hu, Wansen Wu +3
Following language instructions to navigate in unseen environments is a challenging task for autonomous embodied agents. With strong representation capabilities, pretrained vision-…
Prompt-based Context- and Domain-aware Pretraining for Vision and Language Navigation
Ting Liu, Yue Hu, Wansen Wu +3
Pretrained visual-language models have extensive world knowledge and are widely used in visual and language navigation (VLN). However, they are not sensitive to indoor scenarios fo…
Visual Prompt Based Personalized Federated Learning
Guanghao Li, Wansen Wu, Yan Sun +3
As a popular paradigm of distributed learning, personalized federated learning (PFL) allows personalized models to improve generalization ability and robustness by utilizing knowle…
How to Evaluate Your Dialogue Models: A Review of Approaches
Xinmeng Li, Wansen Wu, Long Qin +1
Evaluating the quality of a dialogue system is an understudied problem. The recent evolution of evaluation method motivated this survey, in which an explicit and comprehensive anal…
Vision-Language Navigation: A Survey and Taxonomy
Wansen Wu, Tao Chang, Xinmeng Li
Vision-Language Navigation (VLN) tasks require an agent to follow human language instructions to navigate in previously unseen environments. This challenging field involving proble…