A hybrid transfer learning approach to migratable disaster assessment in social media sensing Y Zhang, R Zong, D Wang 2020 IEEE/ACM International Conference on Advances in Social Networks …, 2020 | 24 | 2020 |
Transland: An adversarial transfer learning approach for migratable urban land usage classification using remote sensing Y Zhang, R Zong, J Han, H Zheng, Q Lou, D Zhang, D Wang 2019 ieee international conference on big data (big data), 1567-1576, 2019 | 21 | 2019 |
Collablearn: An uncertainty-aware crowd-ai collaboration system for cultural heritage damage assessment Y Zhang, R Zong, Z Kou, L Shang, D Wang IEEE Transactions on Computational Social Systems 9 (5), 1515-1529, 2021 | 20 | 2021 |
Transres: a deep transfer learning approach to migratable image super-resolution in remote urban sensing Y Zhang, R Zong, J Han, D Zhang, T Rashid, D Wang 2020 17th annual IEEE international conference on sensing, communication …, 2020 | 17 | 2020 |
Crowdnas: A crowd-guided neural architecture searching approach to disaster damage assessment Y Zhang, R Zong, Z Kou, L Shang, D Wang Proceedings of the ACM on Human-Computer Interaction 6 (CSCW2), 1-29, 2022 | 10 | 2022 |
On streaming disaster damage assessment in social sensing: A crowd-driven dynamic neural architecture searching approach Y Zhang, R Zong, Z Kou, L Shang, D Wang Knowledge-Based Systems 239, 107984, 2022 | 10 | 2022 |
A deep contrastive learning approach to extremely-sparse disaster damage assessment in social sensing Y Zhang, R Zong, L Shang, Z Kou, D Wang Proceedings of the 2021 IEEE/ACM International Conference on Advances in …, 2021 | 10 | 2021 |
Crowdoptim: A crowd-driven neural network hyperparameter optimization approach to ai-based smart urban sensing Y Zhang, R Zong, L Shang, Z Kou, H Zeng, D Wang Proceedings of the ACM on Human-Computer Interaction 6 (CSCW2), 1-27, 2022 | 9 | 2022 |
An active one-shot learning approach to recognizing land usage from class-wise sparse satellite imagery in smart urban sensing Y Zhang, R Zong, L Shang, Z Kou, D Wang Knowledge-Based Systems 249, 108997, 2022 | 8 | 2022 |
StreamCollab: A streaming crowd-AI collaborative system to smart urban infrastructure monitoring in social sensing Y Zhang, L Shang, R Zong, Z Wang, Z Kou, D Wang Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 9 …, 2021 | 7 | 2021 |
A Crowd-Ai Dynamic Neural Network Hyperparameter Optimization Approach for Image-Driven Social Sensing Applications Y Zhang, R Zong, L Shang, D Wang Knowledge-Based Systems 278, 110864, 2023 | 4 | 2023 |
On coupling classification and super-resolution in remote urban sensing: An integrated deep learning approach Y Zhang, R Zong, L Shang, D Wang IEEE Transactions on Geoscience and Remote Sensing 60, 1-17, 2022 | 4 | 2022 |
SuperClass: A deep duo-task learning approach to improving QoS in image-driven smart urban sensing applications Y Zhang, R Zong, L Shang, MT Rashid, D Wang 2021 IEEE/ACM 29th International Symposium on Quality of Service (IWQOS), 1-6, 2021 | 4 | 2021 |
On Optimizing Model Generality in AI-based Disaster Damage Assessment: A Subjective Logic-driven Crowd-AI Hybrid Learning Approach. Y Zhang, R Zong, L Shang, H Zeng, Z Yue, N Wei, D Wang IJCAI, 6317-6325, 2023 | 3 | 2023 |
Contrastfaux: Sparse semi-supervised fauxtography detection on the web using multi-view contrastive learning R Zong, Y Zhang, L Shang, D Wang Proceedings of the ACM Web Conference 2023, 3994-4003, 2023 | 3 | 2023 |
A crowd-driven dynamic neural architecture searching approach to quality-aware streaming disaster damage assessment Y Zhang, R Zong, Z Kou, L Shang, D Wang 2021 IEEE/ACM 29th International Symposium on Quality of Service (IWQOS), 1-6, 2021 | 3 | 2021 |
MMAdapt: A Knowledge-guided Multi-source Multi-class Domain Adaptive Framework for Early Health Misinformation Detection L Shang, Y Zhang, B Chen, R Zong, Z Yue, H Zeng, N Wei, D Wang Proceedings of the ACM on Web Conference 2024, 4653-4663, 2024 | 2 | 2024 |
A Crowd–AI Collaborative Approach to Address Demographic Bias for Student Performance Prediction in Online Education R Zong, Y Zhang, F Stinar, L Shang, H Zeng, N Bosch, D Wang Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 11 …, 2023 | 2 | 2023 |
Collabequality: A crowd-ai collaborative learning framework to address class-wise inequality in web-based disaster response Y Zhang, L Shang, R Zong, H Zeng, Z Yue, D Wang Proceedings of the ACM Web Conference 2023, 4050-4059, 2023 | 2 | 2023 |
Cross-city PM2. 5 predictions with recurrent neural network RH Zong, TY Zhang, Z Chen, Y Zhu IOP Conference Series: Earth and Environmental Science 291 (1), 012002, 2019 | 2 | 2019 |