Dong Wang

Faculty Affiliate, National Center for Supercomputing Applications (NCSA)
Faculty Affiliate, Information Trust Institute
Faculty Affiliate, Illinois Informatics
Faculty Affiliate, Center for Social and Behavioral Science (CSBS)

• Senior Member, Institute of Electrical and Electronics Engineers (IEEE)
• Teachers Ranked as Excellent by Their Students, Fall 2022 and Spring 2023
• Best Paper Award, 2022 ACM/IEEE International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
• Best Paper Honorable Mention, 8th IEEE International Conference on Smart Computing (SMARTCOMP)
• NSF CAREER Award 
• Google Faculty Research Award 
• ARO Young Investigator Program Award (YIP)
• NSF CISE Research Initiation Initiative (CRII) Award 
• Wing Kai Cheng Fellowship, University of Illinois
• Best Paper Award, 16th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS)

Dong Wang joined the School of Information Sciences at the University of Illinois as an associate professor in August 2021. He previously served as an associate professor in the Computer Science and Engineering Department at the University of Notre Dame. His honors include the NSF CAREER Award, Google Faculty Research Award, Young Investigator Program (YIP) Award from the US Army Research Office, NSF CRII Award, Wing Kai Cheng Fellowship from the University of Illinois, and the Best Paper Awards of ACM/IEEE International Conference on Advances in Social Networks Analysis and Mining (ASONAM) and IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS). He also served as the TPC chairs of IEEE DCoSS 2022 and ACM/IEEE ASONAM 2023.
 
Wang’s work has been applied in a wide range of real-world applications such as misinformation detection, social network analysis, crowd-based disaster response, intelligent transportation, urban planning, and environment monitoring. He has published over 150 technical papers in peer reviewed conferences and journals. His research on social sensing, intelligence and computing resulted in software tools that found applications in academia, industry, and government research labs. He authored two monographs:

1. "Social Edge Computing: Empowering Human-Centric Edge Computing, Learning and Intelligence" published by Springer.
2. "Social Sensing: Building Reliable Systems on Unreliable Data" published by Elsevier.

Wang holds a PhD in computer science from the University of Illinois Urbana-Champaign.

By appointment, please contact professor.

Dong Wang and Daniel (Yue) Zhang. Social Edge Computing: Empowering Human-Centric Edge Computing, Learning and Intelligence, 1st Edition, Springer, 2023.
 
Ruohan Zong, Yang Zhang, Frank Stinar, Lanyu Shang, Huimin Zeng, Nigel Bosch, Dong Wang. A Crowd-AI Collaborative Approach to Address Demographic Bias for Student Performance Prediction in Online Education, 11th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2023) , Full Paper, Delft, Netherlands, November, 2023.
 
Huimin Zeng, Zhenrui Yue, Yang Zhang, Lanyu Shang, Dong Wang. Manipulating Out-Domain Uncertainty Estimation in Deep Neural Networks via Targeted Clean-Label Poisoning, the 32st ACM International Conference on Information and Knowledge Management (CIKM 2023) , Birmingham, UK, October, 2023.
 
Huimin Zeng, Zhenrui Yue, Lanyu Shang, Yang Zhang, Dong Wang. Adversarial Robustness of Demographic Fairness in Face Attribute Recognition, the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023) , Full Paper, Macao, China, August, 2023.
 
Zhenrui Yue, Huimin Zeng, Mengfei Lan, Heng Ji, Dong Wang. Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning, The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), Full Paper, Toronto, Canada, July, 2023.
 
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 , The ACM Web Conference 2023 (WWW 2023), Full Paper, Texas, USA, April, 2023.
 
Yang Zhang, Ziyi Kou, Lanyu Shang, Huimin Zeng, Zhenrui Yue, Dong Wang. A Crowd-AI Collaborative Duo Relational Graph Learning Framework Towards Social Impact Aware Photo Classification , Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), Washington DC, USA, February, 2023.
 
Yang Zhang, Ruohan Zong, Ziyi Kou, Lanyu Shang, Dong Wang. CrowdNAS: A Crowd-guided Neural Architecture Searching Approach to Disaster Damage Assessment, The 25th ACM Conference On Computer-Supported Cooperative Work And Social Computing (CSCW 22), November, Virtual Conference, 2022.
 
Daniel Zhang, Ziyi Kou, Dong Wang. FedSens: A Federated Learning Approach for Smart Health Sensing with Class Imbalance in Resource Constrained Edge Computing, IEEE International Conference on Computer Communications (IEEE INFOCOM 2021), Full Paper, Virtual Conference, May, 2021.
 
Dong Wang, Tarek Abdelzaher, and Lance Kaplan. Social Sensing: Building Reliable Systems on Unreliable Data, 1st Edition, Elsevier, 2015.

Dong Wang, Social-Physical Sensing: An Emerging Sensing Paradigm that Explores the Collective Intelligence of Humans and Machine, invited talk at ACM and SAGE Collective Intelligence, June, 2023

Dong Wang, Vision of Social Informatics: the Perspectives from Social (Human-centric) Sensing and Intelligence, invited talk at National Research Council of Italy, July, 2022. 

Dong Wang, Addressing Data Heterogeneity and Sparsity in Human-centric Smart City Applications, invited panel talk at 8th International Conference on Networking, Systems and Security (NSysS 2021), Virtual, December, 2021.

Dong Wang, Misinformation Detection and Explanation by Exploring the Power of Social Intelligence, Center for Social and Behavioral Science, University of Illinois at Urbana- Champaign, Urbana, November, 2021.

The Era of Human-centric Sensing, Computing and Intelligence, Invited Talk at Case Western Reserve University, Cleveland, Ohio, 2020

Harnessing the Power of Crowd for Human-centric Computing Systems, Invited Talk at the University of Illinois, 2020

Social Sensing based Edge Computing Systems, Invited Talk at University of Washington, Seattle, 2018

Towards Scalable and Responsive Social Sensing, Invited Talk at University of North Carolina at Chapel Hill, 2018

Building Reliable Cyber-Physical Systems with Human-in-the-loop, Invited Talk at Indiana University, Bloomington, Indiana, 2017

Big Data in Cyber-Physical Systems, Invited Talk at University of Pittsburgh, Pittsburgh, PA, 2015