| 2026 | WSDM | Mixture of Adaptive Retrieval Experts for Veracity Assessment in the Human-LLM Mixed Generation Paradigm. | Ruohan Zong, Yang Zhang, Zhenrui Yue, Dong Wang |
| 2025 | AAAI | SIDE: Socially Informed Drought Estimation Toward Understanding Societal Impact Dynamics of Environmental Crisis. | Lanyu Shang, Bozhang Chen, Shiwei Liu, Yang Zhang, Ruohan Zong, Anav Vora, Ximing Cai, Na Wei, Dong Wang |
| 2025 | CHI | 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, Nigel Bosch |
| 2025 | ICCV | Anti-Tamper Protection for Unauthorized Individual Image Generation. | Zelin Li, Ruohan Zong, Yifan Liu, Ruichen Yao, Yaokun Liu, Yang Zhang, Dong Wang |
| 2025 | IJCAI | Bidirectional Human-AI Collaboration for Equitable Student Performance Prediction via Deep Uncertainty Learning. | Ruohan Zong, Yang Zhang, Lanyu Shang, Frank Stinar, Nigel Bosch, Dong Wang |
| 2025 | ICWSM | Empowering LLMs to Synthesize AI and Human Intelligence for Explainable Public Health Misinformation Detection on Social Media. | Ruohan Zong, Yang Zhang, Dong Wang |
| 2024 | ICDCS | Mitigating Demographic Bias of Federated Learning Models via Robust-Fair Domain Smoothing: A Domain-Shifting Approach. | Huimin Zeng, Zhenrui Yue, Qian Jiang, Yang Zhang, Lanyu Shang, Ruohan Zong, Dong Wang |
| 2024 | WWW | MMAdapt: A Knowledge-guided Multi-source Multi-class Domain Adaptive Framework for Early Health Misinformation Detection. | Lanyu Shang, Yang Zhang, Bozhang Chen, Ruohan Zong, Zhenrui Yue, Huimin Zeng, Na Wei, Dong Wang |
| 2024 | WWW | SymLearn: A Symbiotic Crowd-AI Collective Learning Framework to Web-based Healthcare Policy Adherence Assessment. | Yang Zhang, Ruohan Zong, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Dong Wang |
| 2023 | IJCAI | On Optimizing Model Generality in AI-based Disaster Damage Assessment: A Subjective Logic-driven Crowd-AI Hybrid Learning Approach. | Yang Zhang, Ruohan Zong, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Na Wei, Dong Wang |
| 2023 | WWW | CollabEquality: A Crowd-AI Collaborative Learning Framework to Address Class-wise Inequality in Web-based Disaster Response. | Yang Zhang, Lanyu Shang, Ruohan Zong, Huimin Zeng, Zhenrui Yue, Dong Wang |
| 2023 | WWW | ContrastFaux: Sparse Semi-supervised Fauxtography Detection on the Web using Multi-view Contrastive Learning. | Ruohan Zong, Yang Zhang, Lanyu Shang, Dong Wang |
| 2023 | SECON | A Crowdsourced Learning Framework to Optimize Cross-Event QoS in AI-powered Social Sensing. | Yang Zhang, Ruohan Zong, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Dong Wang |
| 2021 | HCOMP | StreamCollab: A Streaming Crowd-AI Collaborative System to Smart Urban Infrastructure Monitoring in Social Sensing. | Yang Zhang, Lanyu Shang, Ruohan Zong, Zeng Wang, Ziyi Kou, Dong Wang |
| 2021 | IWQoS | A Crowd-driven Dynamic Neural Architecture Searching Approach to Quality-aware Streaming Disaster Damage Assessment. | Yang Zhang, Ruohan Zong, Ziyi Kou, Lanyu Shang, Dong Wang |
| 2021 | IWQoS | SuperClass: A Deep Duo-Task Learning Approach to Improving QoS in Image-driven Smart Urban Sensing Applications. | Yang Zhang, Ruohan Zong, Lanyu Shang, Md Tahmid Rashid, Dong Wang |
| 2020 | SECON | TransRes: A Deep Transfer Learning Approach to Migratable Image Super-Resolution in Remote Urban Sensing. | Yang Zhang, Ruohan Zong, Jun Han, Daniel Zhang, Md Tahmid Rashid, Dong Wang |