Dong Wang
Professor
Studies human-centered and agentic AI for social sensing, including crowdsensing, misinformation detection on social media and social informatics.
Dong Wang's lab at UIUC works on time series, anomaly & spatio-temporal data, computational social science and language & society. 65 papers since 2023, 27 at top venues, mostly ICWSM and WWW. 9 PhD students and 4 master's students. 5 alumni. Applications close .
At a glance
- papers, 2023–2026
- 17/ year
- at T1 venues
- 42%
- PhD students
- 9
- MS students
- 4
- alumni listed
- 5
Papers by yearfrom the lab homepage, 2023–2026
- 21 papers2026 · T1 8 · collecting
- 15 papers2025 · T1 8
- 15 papers2024 · T1 6
- 14 papers2023 · T1 5
T1 venuesOtherVenues: ICWSM, WWW, ACL, SIGIR, WSDM
Research focuspaper titles that use each topic's words
- Computational social science10 papers
- social10 papers
- Time series, anomaly & spatio-temporal data2 papers
- social sensing2 papers
- Language & society1 paper
Paper list
From the lab homepage.
202621 papers
- The Fortieth Annual Conference on Neural Information Processing Systems(NeurIPS 26), Evaluations and Datasets TrackBeyond Risky Activities: Bridging the Supervision Gap for Situational Risk Reasoning
- HCOMPBeyond Truth Discovery: A Two-Stage Framework to Assess the Severity of False Claim during Disasters
- TETCColReg: A Generative Subjective Logic-driven Crowd-AI Collaborative Regression Framework for Vehicle Damage Estimation
- ICML (T1)Conflict-Aware Adaptive Alignment for LLM Hallucination Mitigation
- ICWSMDisImpact: Quantifying the Physi-Social Impact of Natural Disasters through Social Media
- Conference on Language Modeling (COLM 26), Full PaperDr. Zero: Self-Evolving Search Agents without Training Data
- ACM Learning at Scale ,}EdataWeave: Collecting learning behaviors across multiple platforms
- HCOMPFIBB: Capturing False Information Beliefs and Behaviors Across Physical and Online Environments
- SIGIR (T1)Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation
- ICWSMMASH: A Multiplatform and Multimodal Annotated Dataset for Societal Impact of Hurricane
- WWW (T1)Mind the Ambiguity: Aleatoric Uncertainty Quantification in LLMs for Safe Medical Question Answering
- WSDM (T1)Mixture Of Adaptive Retrieval Experts for Veracity Assessment in the HumanLLM Mixed Generation Paradigm
202515 papers
- TETCA Crowdsourcing-driven AI Model Design Framework to Public Health Policy-Adherence Assessment
- ICCV (T1)Anti-Tamper Protection for Unauthorized Individual Image Generation
- Tthe 34 International Joint Conference on Artificial Intelligence (IJCAI ), AI for Social Good trackBidirectional Human–AI Collaboration for Equitable Student Performance Prediction via Deep Uncertainty Learning
- ES&TCombining group contribution method and semi-supervised learning to build machine learning models for predicting hydroxyl radical rate constants of water contaminants.
- FAccTComponent-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta Learning
- CSCW (T1)Designing Effective AI Explanations for Misinformation Detection: A Comparative Study of Content, Social, and Combined Explanations
- NeurIPS (T1)Hybrid Latent Reasoning via Reinforcement Learning
- ICWSMImpowering LLMs to Synthesize AI and Human Intelligence for Explainable Public Health Misinformation Detection on Social Media
- ICLR (T1)Inference Scaling for Long-Context Retrieval Augmented Generation
- CHI (T1)Learning Behaviors Mediate the Effect of AI-powered Support for Metacognitive Calibration on Learning Outcomes
- WWW (T1)Modality Interactive Mixture-of-Experts for Fake News Detection
- TBDMultiTec: A Data-driven Multimodal Short Video Detection Framework for Healthcare Misinformation on TikTok
202415 papers
- ICWSMA Social and News Media Driven Dataset and Analytical Platform Towards Understanding Societal Impact of Drought
- Trends in BiotechnologyEngineering Biomaterials for Recovery of Rare Earth Elements
- ACL (T1)Fair Federated Learning with Biased Vision-Language Model
- SIGIR (T1)Fair Sequential Recommendation without User Demographics
- IEEE International Conference on Big DataFederated Recommendation via Hybrid Retrieval Augmented Generation
- ASONAMIntertwined Biases Across Social Media Spheres: Unpacking Correlations in Media Bias Dimensions
- WSDM (T1)Linear Recurrent Units for Sequential Recommendation
- ICDCSMitigating Demographic Bias of Federated Learning Models via Robust-Fair Domain Smoothing: A Domain-Shifting Approach
- NAACL (T1)Open-Vocabulary Federated Learning with Multimodal Prototyping
- Metabolic Engineering CommunicationsPEZy-Miner: An artificial intelligence driven approach for the discovery of plastic-degrading enzyme candidates
- ACL (T1)Retrieval Augmented Fact Verification via Synthesis of Contrasting Arguments
- The ACM Web Conference (WWW ), Main TrackSymLearn: A Symbiotic Crowd-AI Collective Learning Framework to Web-based Healthcare Policy Adherence Assessment
202314 papers
- HCOMPA Crowd-AI Collaborative Approach to Address Demographic Bias for Student Performance Prediction in Online Education
- AAAI (T1)A Crowd-AI Collaborative Duo Relational Graph Learning Framework Towards Social Impact Aware Photo Classification
- KBSA Crowd-AI Dynamic Neural Network Hyperparameter Optimization Approach for Image-driven Social Sensing Applications
- SECONA Crowdsourced Learning Framework to Optimize Cross-Event QoS in AI-powered Social Sensing
- ACM Collective IntelligenceA Survey on Social-Physical Sensing: An Emerging Sensing Paradigm that Explores the Collective Intelligence of Humans and Machine
- IJCAI (T1)Adversarial Robustness of Demographic Fairness in Face Attribute Recognition
- WWW (T1)ContrastFaux: Sparse Semi-supervised Fauxtography Detection on the Web using Multi-view Contrastive Learning
- PMCCSEIS: A Spatiotemporal-aware Event Investigation Framework for Social Airborne Sensing in Disaster Recovery Applications
- KBSFairness-aware Training of Face Attribute Classifiers via Adversarial Robustness
- Environmental Science & Technology LettersMachine learning based prediction of enzymatic degradation of plastics using encoded protein sequence and effective feature representation
- CIKM (T1)Manipulating Out-Domain Uncertainty Estimation in Deep Neural Networks via Targeted Clean-Label Poisoning
- the International Joint Conference on Artificial Intelligence (IJCAI ), AI for Social Good trackOn Optimizing Model Generality in AI-based Disaster Damage Assessment: A Subjective Logic-driven Crowd-AI Hybrid Learning Approach
Where alumni went5 listed
Apply to UIUCFall 2027
UIUC Siebel Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- optional
- English
- TOEFL iBT / IELTS
- Fee
- USD 90
Not yet confirmed for this intake.
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