TransLand: An Adversarial Transfer Learning Approach for Migratable Urban Land Usage Classification using Remote Sensing. - Yang Zhang 031; Ruohan Zong; Jun Han 010; Hao Zheng 006; Qiuwen Lou; Daniel Yue Zhang; Dong Wang 002 (IEEE BigData, 2019)

A Hybrid Transfer Learning Approach to Migratable Disaster Assessment in Social Media Sensing. - Yang Zhang 031; Ruohan Zong; Dong Wang 002 (ASONAM, 2020)

On Privileged Information Driven Robust Face Verification: A Siamese Convolutional Neural Network Approach. - Ruohan Zong (IEEE BigData, 2020)

TransRes: A Deep Transfer Learning Approach to Migratable Image Super-Resolution in Remote Urban Sensing. - Yang Zhang 031; Ruohan Zong; Jun Han 010; Daniel Zhang 001; Md. Tahmid Rashid; Dong Wang 002 (SECON, 2020)

A deep contrastive learning approach to extremely-sparse disaster damage assessment in social sensing. - Yang Zhang 031; Ruohan Zong; Lanyu Shang; Ziyi Kou; Dong Wang 002 (ASONAM, 2021)

StreamCollab: A Streaming Crowd-AI Collaborative System to Smart Urban Infrastructure Monitoring in Social Sensing. - Yang Zhang 031; Lanyu Shang; Ruohan Zong; Zeng Wang; Ziyi Kou; Dong Wang 002 (HCOMP, 2021)

A Crowd-driven Dynamic Neural Architecture Searching Approach to Quality-aware Streaming Disaster Damage Assessment. - Yang Zhang 031; Ruohan Zong; Ziyi Kou; Lanyu Shang; Dong Wang 002 (IWQoS, 2021)

SuperClass: A Deep Duo-Task Learning Approach to Improving QoS in Image-driven Smart Urban Sensing Applications. - Yang Zhang 031; Ruohan Zong; Lanyu Shang; Md. Tahmid Rashid; Dong Wang 002 (IWQoS, 2021)

On streaming disaster damage assessment in social sensing: A crowd-driven dynamic neural architecture searching approach. - Yang Zhang 031; Ruohan Zong; Ziyi Kou; Lanyu Shang; Dong Wang 002 (Knowl. Based Syst., 2022)

An active one-shot learning approach to recognizing land usage from class-wise sparse satellite imagery in smart urban sensing. - Yang Zhang 031; Ruohan Zong; Lanyu Shang; Ziyi Kou; Dong Wang 002 (Knowl. Based Syst., 2022)

CrowdNAS: A Crowd-guided Neural Architecture Searching Approach to Disaster Damage Assessment. - Yang Zhang 031; Ruohan Zong; Ziyi Kou; Lanyu Shang; Dong Wang 002 (Proc. ACM Hum. Comput. Interact., 2022)

CrowdOptim: A Crowd-driven Neural Network Hyperparameter Optimization Approach to AI-based Smart Urban Sensing. - Yang Zhang 031; Ruohan Zong; Lanyu Shang; Ziyi Kou; Huimin Zeng 001; Dong Wang 002 (Proc. ACM Hum. Comput. Interact., 2022)

CollabLearn: An Uncertainty-Aware Crowd-AI Collaboration System for Cultural Heritage Damage Assessment. - Yang Zhang 031; Ruohan Zong; Ziyi Kou; Lanyu Shang; Dong Wang 002 (IEEE Trans. Comput. Soc. Syst., 2022)

On Coupling Classification and Super-Resolution in Remote Urban Sensing: An Integrated Deep Learning Approach. - Yang Zhang 031; Ruohan Zong; Lanyu Shang; Dong Wang 002 (IEEE Trans. Geosci. Remote. Sens., 2022)

On Optimizing Model Generality in AI-based Disaster Damage Assessment: A Subjective Logic-driven Crowd-AI Hybrid Learning Approach. - Yang Zhang 031; Ruohan Zong; Lanyu Shang; Huimin Zeng 001; Zhenrui Yue; Na Wei; Dong Wang 002 (IJCAI, 2023)

A Crowdsourced Learning Framework to Optimize Cross-Event QoS in AI-powered Social Sensing. - Yang Zhang 031; Ruohan Zong; Lanyu Shang; Huimin Zeng 001; Zhenrui Yue; Dong Wang 002 (SECON, 2023)

CollabEquality: A Crowd-AI Collaborative Learning Framework to Address Class-wise Inequality in Web-based Disaster Response. - Yang Zhang 031; Lanyu Shang; Ruohan Zong; Huimin Zeng 001; Zhenrui Yue; Dong Wang 002 (WWW, 2023)

ContrastFaux: Sparse Semi-supervised Fauxtography Detection on the Web using Multi-view Contrastive Learning. - Ruohan Zong; Yang Zhang 031; Lanyu Shang; Dong Wang 002 (WWW, 2023)

A crowd-AI dynamic neural network hyperparameter optimization approach for image-driven social sensing applications. - Yang Zhang 031; Ruohan Zong; Lanyu Shang; Dong Wang 002 (Knowl. Based Syst., 2023)

Tripartite Intelligence: Synergizing Deep Neural Network, Large Language Model, and Human Intelligence for Public Health Misinformation Detection (Archival Full Paper). - Yang Zhang 031; Ruohan Zong; Lanyu Shang; Zhenrui Yue; Huimin Zeng 001; Yifan Liu 019; Dong Wang 002 (CI, 2024)

Mitigating Demographic Bias of Federated Learning Models via Robust-Fair Domain Smoothing: A Domain-Shifting Approach. - Huimin Zeng 001; Zhenrui Yue; Qian Jiang; Yang Zhang 031; Lanyu Shang; Ruohan Zong; Dong Wang 002 (ICDCS, 2024)

MMAdapt: A Knowledge-guided Multi-source Multi-class Domain Adaptive Framework for Early Health Misinformation Detection. - Lanyu Shang; Yang Zhang 031; Bozhang Chen; Ruohan Zong; Zhenrui Yue; Huimin Zeng 001; Na Wei; Dong Wang 002 (WWW, 2024)

SymLearn: A Symbiotic Crowd-AI Collective Learning Framework to Web-based Healthcare Policy Adherence Assessment. - Yang Zhang 031; Ruohan Zong; Lanyu Shang; Huimin Zeng 001; Zhenrui Yue; Dong Wang 002 (WWW, 2024)

SIDE: Socially Informed Drought Estimation Toward Understanding Societal Impact Dynamics of Environmental Crisis. - Lanyu Shang; Bozhang Chen; Shiwei Liu; Yang Zhang 031; Ruohan Zong; Anav Vora; Ximing Cai; Na Wei; Dong Wang 002 (AAAI, 2025)

Learning Behaviors Mediate the Effect of AI-powered Support for Metacognitive Calibration on Learning Outcomes. - Haejin Lee; Frank Stinar; Ruohan Zong; Hannah Valdiviejas; Dong Wang 002; Nigel Bosch (CHI, 2025)

Component-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta Learning. - Yifan Liu 019; Ruichen Yao; Yaokun Liu; Ruohan Zong; Zelin Li 002; Yang Zhang 031; Dong Wang 002 (FAccT, 2025)

Empowering LLMs to Synthesize AI and Human Intelligence for Explainable Public Health Misinformation Detection on Social Media. - Ruohan Zong; Yang Zhang; Dong Wang (ICWSM, 2025)

Anti-Tamper Protection for Unauthorized Individual Image Generation. - Zelin Li 002; Ruohan Zong; Yifan Liu 019; Ruichen Yao; Yaokun Liu; Yang Zhang 031; Dong Wang 002 (CoRR, 2025)