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ORCIDRuohan Zong
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2020 – today
- 2024
[c16]Yang Zhang
, Ruohan Zong, Lanyu Shang, Zhenrui Yue, Huimin Zeng, Yifan Liu, Dong Wang:
Tripartite Intelligence: Synergizing Deep Neural Network, Large Language Model, and Human Intelligence for Public Health Misinformation Detection (Archival Full Paper). CI 2024- [c15]Huimin Zeng, Zhenrui Yue, Qian Jiang, Yang Zhang, Lanyu Shang, Ruohan Zong, Dong Wang:
Mitigating Demographic Bias of Federated Learning Models via Robust-Fair Domain Smoothing: A Domain-Shifting Approach. ICDCS 2024: 785-796 - [c14]Yang Zhang, Ruohan Zong, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Dong Wang:
SymLearn: A Symbiotic Crowd-AI Collective Learning Framework to Web-based Healthcare Policy Adherence Assessment. WWW 2024: 2497-2508 - [c13]Lanyu Shang, Yang Zhang, Bozhang Chen, Ruohan Zong, Zhenrui Yue, Huimin Zeng, Na Wei, Dong Wang:
MMAdapt: A Knowledge-guided Multi-source Multi-class Domain Adaptive Framework for Early Health Misinformation Detection. WWW 2024: 4653-4663 - 2023
- [j7]Yang Zhang, Ruohan Zong, Lanyu Shang, Dong Wang:
A crowd-AI dynamic neural network hyperparameter optimization approach for image-driven social sensing applications. Knowl. Based Syst. 278: 110864 (2023) - [c12]Yang Zhang, Ruohan Zong, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Na Wei, Dong Wang:
On Optimizing Model Generality in AI-based Disaster Damage Assessment: A Subjective Logic-driven Crowd-AI Hybrid Learning Approach. IJCAI 2023: 6317-6325 - [c11]Yang Zhang, Ruohan Zong, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Dong Wang:
A Crowdsourced Learning Framework to Optimize Cross-Event QoS in AI-powered Social Sensing. SECON 2023: 429-437 - [c10]Ruohan Zong, Yang Zhang, Lanyu Shang, Dong Wang:
ContrastFaux: Sparse Semi-supervised Fauxtography Detection on the Web using Multi-view Contrastive Learning. WWW 2023: 3994-4003 - [c9]Yang Zhang, Lanyu Shang, Ruohan Zong, Huimin Zeng, Zhenrui Yue, Dong Wang:
CollabEquality: A Crowd-AI Collaborative Learning Framework to Address Class-wise Inequality in Web-based Disaster Response. WWW 2023: 4050-4059 - 2022
- [j6]Yang Zhang, Ruohan Zong, Ziyi Kou, Lanyu Shang, Dong Wang:
On streaming disaster damage assessment in social sensing: A crowd-driven dynamic neural architecture searching approach. Knowl. Based Syst. 239: 107984 (2022) - [j5]Yang Zhang, Ruohan Zong, Lanyu Shang, Ziyi Kou, Dong Wang:
An active one-shot learning approach to recognizing land usage from class-wise sparse satellite imagery in smart urban sensing. Knowl. Based Syst. 249: 108997 (2022) - [j4]Yang Zhang, Ruohan Zong, Ziyi Kou, Lanyu Shang, Dong Wang:
CrowdNAS: A Crowd-guided Neural Architecture Searching Approach to Disaster Damage Assessment. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-29 (2022) - [j3]Yang Zhang, Ruohan Zong, Lanyu Shang, Ziyi Kou, Huimin Zeng, Dong Wang:
CrowdOptim: A Crowd-driven Neural Network Hyperparameter Optimization Approach to AI-based Smart Urban Sensing. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-27 (2022) - [j2]Yang Zhang, Ruohan Zong, Ziyi Kou, Lanyu Shang, Dong Wang:
CollabLearn: An Uncertainty-Aware Crowd-AI Collaboration System for Cultural Heritage Damage Assessment. IEEE Trans. Comput. Soc. Syst. 9(5): 1515-1529 (2022) - [j1]Yang Zhang, Ruohan Zong, Lanyu Shang, Dong Wang:
On Coupling Classification and Super-Resolution in Remote Urban Sensing: An Integrated Deep Learning Approach. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - 2021
- [c8]Yang Zhang, Ruohan Zong, Lanyu Shang, Ziyi Kou, Dong Wang:
A deep contrastive learning approach to extremely-sparse disaster damage assessment in social sensing. ASONAM 2021: 151-158 - [c7]Yang Zhang, Lanyu Shang, Ruohan Zong, Zeng Wang, Ziyi Kou, Dong Wang:
StreamCollab: A Streaming Crowd-AI Collaborative System to Smart Urban Infrastructure Monitoring in Social Sensing. HCOMP 2021: 179-190 - [c6]Yang Zhang, Ruohan Zong, Ziyi Kou, Lanyu Shang, Dong Wang:
A Crowd-driven Dynamic Neural Architecture Searching Approach to Quality-aware Streaming Disaster Damage Assessment. IWQoS 2021: 1-6 - [c5]Yang Zhang, Ruohan Zong, Lanyu Shang, Md. Tahmid Rashid, Dong Wang:
SuperClass: A Deep Duo-Task Learning Approach to Improving QoS in Image-driven Smart Urban Sensing Applications. IWQoS 2021: 1-6 - 2020
- [c4]Yang Zhang, Ruohan Zong, Dong Wang:
A Hybrid Transfer Learning Approach to Migratable Disaster Assessment in Social Media Sensing. ASONAM 2020: 131-138 - [c3]Ruohan Zong:
On Privileged Information Driven Robust Face Verification: A Siamese Convolutional Neural Network Approach. IEEE BigData 2020: 5874-5878 - [c2]Yang Zhang, Ruohan Zong, Jun Han, Daniel Zhang, Md. Tahmid Rashid, Dong Wang:
TransRes: A Deep Transfer Learning Approach to Migratable Image Super-Resolution in Remote Urban Sensing. SECON 2020: 1-9
2010 – 2019
- 2019
- [c1]Yang Zhang, Ruohan Zong, Jun Han, Hao Zheng, Qiuwen Lou, Daniel Yue Zhang, Dong Wang:
TransLand: An Adversarial Transfer Learning Approach for Migratable Urban Land Usage Classification using Remote Sensing. IEEE BigData 2019: 1567-1576
Coauthor Index
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