Publications

Books

Dong Wang, Lanyu Shang, and Yang Zhang. Social Intelligence: The New Frontier of Integrating Human Intelligence and Artificial Intelligence in Social Space, Springer Nature, 2025.

Social Intelligence Vision: Exploring the collective intelligence of both humans and AI by understanding their complementary strengths and interactions in the social space.



Dong Wang and Daniel (Yue) Zhang. Social Edge Computing: Empowering Human-Centric Edge Computing, Learning and Intelligence, Springer Nature, 2023.

Social Edge Computing Vision: Empowering human-centric edge intelligent applications by revolutionizing the computing, intelligence, and the training of the AI models at the edge.



Dong Wang, Tarek Abdelzaher, and Lance Kaplan. Social Sensing: Building Reliable Systems on Unreliable Data, Elsevier, 2015.

Social Sensing Vision: Leveraging humans as "sensors" to reconstruct the state of the world, both physically and socially.

Selected Papers (Full Paper List)

Paper Code: Journal paper: [J]; Conference paper: [C]; Workshop paper: [W]; Impact Factor: [IF];
Author Code: Ph.D. students/Postdocs I advised: *; Master and undergraduate students I advised: +; Students in my course: #.

• [C: WSDM 26] Ruohan Zong^*, Yang Zhang^*, Zhenrui Yue^*, Dong Wang. Mixture Of Adaptive Retrieval Experts for Veracity Assessment in the HumanLLM Mixed Generation Paradigm , The 19th ACM International Conference Web Search and Data Mining (WSDM 2026), Boise, Idaho, February, 2026. (Acceptance rate: 16.3%)

• [C: NeurIPS 25] Zhenrui Yue^*, Bowen Jin, Huimin Zeng, Honglei Zhuang, Zhen Qin, Jinsung Yoon, Lanyu Shang, Jiawei Han, Dong Wang. Hybrid Latent Reasoning via Reinforcement Learning, The Thirty-Ninth Annual Conference on Neural Information Processing Systems(NeurIPS 25), Full Paper, San Diego, December, 2025. (Acceptance rate: 24.5%)

• [C: ICCV 25] Zelin Li^*, Ruohan Zong^*, Yifan Liu^*, Ruichen Yao^*, Yang Zhang^*, Dong Wang. Anti-Tamper Protection for Unauthorized Individual Image Generation, 2025 International Conference on Computer Vision (ICCV 25), Full Paper, Honolulu, Hawai'i, USA, October, 2025. (Acceptance rate: 24%)

• [C: KDD 25] Zhenrui Yue^*, Huimin Zeng, Yueqi Wang, Julian McAuley, Dong Wang. Preference-Optimized Retrieval and Ranking for Efficient Multimodal Recommendation, 2025 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 25), Full Paper, Toronto, August, 2025. (Acceptance rate: 18.4%)

• [C: IJCAI 25] Ruohan Zong^*, Yang Zhang^*, Lanyu Shang^*, Frank Stinar, Nigel Bosch, Dong Wang. Bidirectional Human–AI Collaboration for Equitable Student Performance Prediction via Deep Uncertainty Learning, Tthe 34 International Joint Conference on Artificial Intelligence (IJCAI 2025), AI for Social Good track, Full Paper, Montreal, Canada, August, 2025. (Acceptance rate: 18.5%)

• [C: FAccT 25] Yifan Liu^*, Ruichen Yao^*, Yaokun Liu^*, Ruohan Zong^*, Zelin Li^*, Yang Zhang^*, Dong Wang. Component-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta Learning, 2025 ACM Conference on Fairness, Accountability, and Transparency (FAccT), Full Paper, Athens, Greece, June, 2025. (Acceptance rate: 26.8%)

• [C: WWW 25] Yifan Liu^*, Yaokun Liu^*, Zelin Li^*, Ruichen Yao^*, Yang Zhang^*, Dong Wang. Modality Interactive Mixture-of-Experts for Fake News Detection, The ACM Web Conference 2025 (WWW 2025), Full Paper, Special Track on Web4Good, Sydney, Australia, May, 2025. (Acceptance rate: 20%)

• [C: ICLR 25] Zhenrui Yue^*, Honglei Zhuang, Aijun Bai, Kai Hui, Rolf Jagerman, Hansi Zeng, Zhen Qin, Dong Wang, Xuanhui Wang, Michael Bendersky. Inference Scaling for Long-Context Retrieval Augmented Generation, The Thirteenth International Conference on Learning Representations (ICLR 2025), Full Paper, Singapore, April, 2025.

• [C: CHI 25] HaeJin Lee, Frank Stinar, Ruohan Zong^*, Hannah Valdiviejas, Dong Wang, Nigel Bosch. Learning Behaviors Mediate the Effect of AI-powered Support for Metacognitive Calibration on Learning Outcomes, ACM CHI conference on Human Factors in Computing Systems (CHI 2025), Full Paper, Yokohama, Japan, April, 2025. (Acceptance rate: 25.1%) Best Paper Honorable Mention

• [C: AAAI 25] Lanyu Shang^*, Bozhang Chen^#, Shiwei Liu^#, Yang Zhang^*, Ruohan Zong^* Anav Vora, Ximing Cai, Na Wei, Dong Wang. SIDE: Socially Informed Drought Estimation Toward Understanding Societal Impact Dynamics of Environmental Crisis, The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025), Special Track on AI for Social Impact, Full Paper, Philadelphia, USA, February, 2025. (Acceptance rate: 23.3%)

• [J: ES&T] Zhao Liu, Lanyu Shang^*, Kuan Huang, Zhenrui Yue^*, Alan Han, Dong Wang, Huichun Zhang. Combining group contribution method and semi-supervised learning to build machine learning models for predicting hydroxyl radical rate constants of water contaminants. Environmental Science & Technology (ES&T), in press, 2025. (Impact Factor: 10.9)

• [J: TETC] Yang Zhang^*, Ruohan Zong^*, Lanyu Shang^*, Dong Wang. A Crowdsourcing-driven AI Model Design Framework to Public Health Policy-Adherence Assessment, IEEE Transactions on Emerging Topics in Computing (TETC) , in press, 2025. (Impact Factor: 5.1)

• [C: ACL 24] Zhenrui Yue^*, Huimin Zeng^*, Lanyu Shang^*, Yifan Liu^*, Yang Zhang^*, Dong Wang. Retrieval Augmented Fact Verification via Synthesis of Contrasting Arguments, The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Full Paper, Main Track, Bangkok, Thailand August, 2024

• [C: ACL 24] Huimin Zeng^*, Zhenrui Yue^*, Yang Zhang^*, Lanyu Shang^*, Dong Wang. Fair Federated Learning with Biased Vision-Language Model, The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Full Paper (Findings), Bangkok, Thailand August, 2024

• [C: ICDCS 24] 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 , 44th IEEE International Conference on Distributed Computing Systems (ICDCS 2024), Jersey City, New Jersey, USA, July 2024. (Acceptance rate: 21.9%)

• [C: SIGIR 24] Huimin Zeng^*, Zhankui He, Zhenrui Yue^*, Julian McAule, Dong Wang. Fair Sequential Recommendation without User Demographics , The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR, 2024), Washington D.C., July, 2024. (Acceptance rate: 20.1%)

• [C: NAACL 24] Huimin Zeng^*, Zhenrui Yue^*, Dong Wang. Open-Vocabulary Federated Learning with Multimodal Prototyping , The 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT 2024), Full Paper, Mexico City, Mexico, June, 2024. (Acceptance rate: 23%)

• [C: ACM WWW 24] 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, The ACM Web Conference 2024 (WWW 2024), Main Track, Full Paper, Singapore, May, 2024. (Acceptance rate: 20%)

• [J: TETC] Huimin Zeng^*, Zhenrui Yue^*, Lanyu Shang^*, Yang Zhang^*, Dong Wang. Unsupervised Domain Adaptation via Contrastive Adversarial Domain Mixup: A Case Study on COVID-19, IEEE Transactions on Emerging Topics in Computing (TETC), in press, 2024. (Impact Factor: 5.9)

• [C: ACM WSDM 24] Zhenrui Yue^*, Yueqi Wang, Zhankui He, Huimin Zeng^*, Julian McAuley, Dong Wang. Linear Recurrent Units for Sequential Recommendation , The 17th ACM International Conference Web Search and Data Mining (WSDM 2024), Full Paper, Merida, Mexico, March, 2024. (Acceptance rate: 18%)

• [J: TIB] Quanhui Ye, Dong Wang, Na Wei. Engineering Biomaterials for Recovery of Rare Earth Elements , Trends in Biotechnology, in press, 2024. (Impact Factor: 18.1)

• [C: AAAI Hcomp 23] 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. (Acceptance rate: 28%)

• [C: ACM CIKM 23] 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. (Acceptance rate: 24%)

• [C: IJCAI 23] 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. (Acceptance rate: 15%)

• [C: IJCAI 23] 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 , the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), AI for Social Good track , Full Paper, Macao, China, August, 2023.

• [C: ACL 23] 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. (Acceptance rate: 20.7%)

• [C: ACM WWW 23] Ruohan Zong^*, Yang Zhang^*, Lanyu Shang^*, Dong Wang. ContrastFaux: Sparse Semi-supervised Fauxtography Detection on the Web using Multi-view Contrastive Learning , The ACM Web Conference 2023 (WWW 2023), Full Paper, Texas, USA, April, 2023.

• [J: ES&T Letters] Renjing Jiang, Lanyu Shang^*, Ruohan Wang, Dong Wang, Na Wei. Machine learning based prediction of enzymatic degradation of plastics using encoded protein sequence and effective feature representation , Environmental Science & Technology Letters, in press, 2023. (Impact Factor: 11.5)

• [J: ACM CI] Md Tahmid Rashid^*, Na Wei, Dong Wang. A Survey on Social-Physical Sensing: An Emerging Sensing Paradigm that Explores the Collective Intelligence of Humans and Machine , ACM Collective Intelligence, in press, 2023.

• [C: AAAI 23] 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.

• [C: EMNLP 22] Zhenrui Yue^*, Huimin Zeng^*, Bernhard Kratzwald, Stefan Feuerriegel, Dong Wang. QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation, 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), Full Paper, Abu Dhabi, December, 2022.

• [C: ACM CSCW 22] Yang Zhang^*, Ruohan Zong^*, Ziyi Kou^*, Lanyu Shang^*, Dong Wang. CrowdOptim: A Crowd-driven Neural Network Hyperparameter Optimization Approach to AI-based Smart Urban Sensing, The 25th ACM Conference On Computer-Supported Cooperative Work And Social Computing (CSCW 22), November, Virtual Conference, 2022.

• [C: ACM CSCW 22] Ziyi Kou^*, Yang Zhang^*, Daniel Zhang^*, Lanyu Shang^*, Dong Wang. CrowdGraph: A Crowdsourcing Multi-modal Knowledge Graph Approach to Explainable Fauxtography Detection, The 25th ACM Conference On Computer-Supported Cooperative Work And Social Computing (CSCW 22), November, Virtual Conference, 2022.

• [C: ACM CSCW 22] 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.

• [C: COLING 22] Zhenrui Yue^*, Huimin Zeng^*, Ziyi Kou^*, Lanyu Shang^*, Dong Wang. Domain Adaptation for Question Answering via Question Classification, 29th Conference on Computational Linguistics (COLING 2022), Full Paper, Korea, October, 2022.

• [J: IEEE TCSS, IF=4.75] Md Tahmid Rashid^*, Dong Wang. CovidTrak: A Vision on Social Intelligence-Empowered COVID-19 Contact Tracing, IEEE Transactions on Computational Social Systems (TCSS), in press, 2022.

• [C: ACM Recsys 22] Zhenrui Yue^*, Huimin Zeng^*, Ziyi Kou^*, Lanyu Shang^*, Dong Wang. Defending Substitution-based Profile Pollution Attacks on Sequential Recommenders, the 16th ACM Conference on Recommender Systems (Recsys 2022), Full Paper, Seattle, USA, September, 2022. (Acceptance rate: 16.9%)

• [C: IJCAI 22] Huimin Zeng^*, Zhenrui Yue^*, Yang Zhang^*, Ziyi Kou^*, Lanyu Shang^*, Dong Wang. On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks, the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI 2022), Full Paper, Messe Wien, Vienna, Austria, July, 2022. (Acceptance rate: 15%)

• [J: IEEE TGRS, IF=5.6] Yang Zhang^*, Ruohan Zong^*, Lanyu Shang^*, Dong Wang. On Coupling Classification and Super-Resolution in Remote Urban Sensing: An Integrated Deep Learning Approach, IEEE Transactions on Geoscience and Remote Sensing (TGRS), Volume 60, pp.1-17., 2022. (Impact Factor: 5.6)

• [C: IEEE SmartComp 22] Lanyu Shang^*, Yang Zhang^*, Quanhui Ye, Na Wei, Dong Wang. SmartWaterSens: A Crowdsensing-based Approach to Groundwater Contamination Estimation, IEEE International Conference on Smart Computing (SMARTCOMP 22), Full Paper, Espoo, Finland, June, 2022. (Best Paper Honorable Mention)

• [C: ACM WWW 22] Ziyi Kou^*, Yang Zhang^*, Lanyu Shang^*, Siyu Duan^#, Dong Wang. Can I only share my eyes? A Web Crowdsourcing based Face Partition Approach Towards Privacy-Aware Face Recognition, The ACM Web Conference 2022 (WWW 2022), Web4Good special track, Full Paper, Virtual Conference, April, 2022. (Acceptance rate: 24%)

• [J: Elsevier KBS, IF=8] 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, Elsevier Knowledge-Based Systems (KBS), Volume 249, p.108997, 2022.

• [J: IEEE TBD, IF=3.3] Ziyi Kou^*, Daniel(Yue) Zhang^*, Lanyu Shang^*, Dong Wang. What and Why? Towards Duo Explainable Fauxtography Detection under Constrained Supervision, IEEE Transactions on Big Data (TBD) , in press, 2022.

• [J: Elsevier IPM, IF=6.2] Lanyu Shang^*, Yang Zhang^*, Christina Youn^*, Dong Wang. SAT-Geo: A Social Sensing based Content-only Approach to Geolocating Abnormal Traffic Events using Syntax-based Probabilistic Learning, Elsevier Information Processing and Management (IPM), in press, 2021.

• [C: IEEE/ACM ASONAM 21] Yang Zhang^*, Ruohan Zong^*, Lanyu Shang^*, Ziyi Kou^*, Dong Wang. A Deep Contrastive Learning Approach to Extremely-Sparse Disaster Damage Assessment in Social Sensing, The IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM 2021), Full Paper, Virtual Conference, December, 2021. (Acceptance rate: 19%)

• [J: IEEE TCSS, IF=5.36] Yang Zhang^*, Ruohan Zong^*, Ziyi Kou^*, Lanyu Shang^*, Dong Wang. CollabLearn: An Uncertainty-aware Crowd-AI Collaboration System for Cultural Heritage Damage Assessment, IEEE Transactions on Computational Social Systems, in press, 2021.

• [C: AAAI HCOMP 21] 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, The 9th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2021), Full Paper, Virtual Conference, November, 2021. (Acceptance rate: 26%)

• [J: IEEE TBD, IF=3.3] Yang Zhang^*, Hanqi Guo, Lanyu Shang^*, Dong Wang, Thomas Peterka. A Multi-branch Decoder Network Approach to Adaptive Temporal Data Selection and Reconstruction for Big Scientific Simulation Data, IEEE Transactions on Big Data (TBD), in press, 2021.

• [J: Elsevier IPM, IF=6.2] Lanyu Shang^*, Yang Zhang^*, Yuheng Zha⁺, Yingxi Chen⁺, Christina Youn⁺, Dong Wang. AOMD: An Analogy-aware Approach to Offensive Meme Detection on Social Media , Elsevier Information Processing and Management (IPM), Volume 58, Issue5, 2021.

• [J: TIB] Baotong Zhu, Dong Wang, Na Wei. Enzyme Discovery and Engineering for Sustainable Plastic Recycling, Trends in Biotechnology , in press, 2021. (IF: 19.53)

• [C: IEEE/ACM IWQoS 21] Ziyi Kou^*, Yang Zhang^*, Lanyu Shang^*, Dong Wang. FairCrowd: Fair Human Face Dataset Sampling via Batch-Level Crowdsourcing Bias Inference, IEEE/ACM International Symposium on Quality of Service (IEEE/ACM IWQoS 2021), Full Paper, Virtual Conference, June, 2021. (Acceptance rate: 25%)

• [C: IEEE Infocom 21] 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, 2020. (Acceptance rate: 19.9%)

• [J: IEEE IoT Journal, IF=9.5] Daniel Zhang^*, Yue Ma, Sharon Hu, Dong Wang. Towards Privacy-aware Task Allocation in Social Sensing based Edge Computing Systems, IEEE Internet of Things Journal , in press, 2020.

• [C: IEEE BigData 20] Daniel Zhang^*, Ziyi Kou^*, Dong Wang. FairFL: A Fair Federated Learning Approach to Reducing Demographic Bias in Privacy-Sensitive Classification Models, 2020 IEEE International Conference on Big Data (IEEE BigData 2020) , Full Paper, Virtual Conference, December, 2020. (Acceptance rate: 15.5%)

• [J: AIRE, IF=5.1] Tahmid Rashid^*, Dong Wang. CovidSens: A Vision on Reliable Social Sensing for COVID-19, Springer Artificial Intelligence Review, in press, 2020.

• [C: IEEE Infocom 20] Md Tahmid Rashid^*, Daniel Zhang^*, Dong Wang. SocialDrone: An Integrated Social Media and Drone Sensing System for Reliable Disaster Response,, IEEE International Conference on Computer Communications (IEEE INFOCOM 2020), Full Paper, Beijing, China, 2020. (Acceptance rate: 19.8%)

• [C: IEEE SECON 20] 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, The 17th Annual IEEE International Conference on Sensing, Communication and Networking (IEEE SECON 2020), Full Paper, Como, Italy, 2020. (Acceptance rate: 27.9%)

• [C: IEEE/ACM IWQoS 20] Yang Zhang^*, Xiangyu Dong⁺, Md Tahmid Rashid^*, Lanyu Shang^*, Jun Han, Daniel Zhang^*, Dong Wang. PQA-CNN: Towards Perceptual Quality Assured Single-Image Super-Resolution in Remote Sensing, IEEE/ACM International Symposium on Quality of Service (IEEE/ACM IWQoS 2020), Full Paper, Hangzhou, China, 2020. (Acceptance rate: 29%)

• [C: AAAI 20] Daniel Zhang^*, Yifeng Huang⁺, Yang Zhang^*, Dong Wang. Crowd-assisted Disaster Scene Assessment with Human-AI Interactive Attention, Thirty-Fourth AAAI Conference on Artificial Intelligence) (AAAI 2020), Full Paper, Oral Presentation, New York, 2020. (Acceptance rate: 20.6%)

• [J: IEEE TBD, IF=5.7] Daniel Zhang^*, Yang Zhang^*, Qi Li, Dong Wang. Sparse User Check-in Venue Prediction By Exploring Latent Decision Contexts From Location-Based Social Networks, IEEE Transactions on Big Data (TBD) , in press, 2020.

• [C: IEEE BigData 19] Lanyu Shang^*, Michael Wang⁺, Daniel Zhang^*, Dong Wang. VulnerCheck: A Content-Agnostic Detector for Online Hatred-Vulnerable Videos, IEEE International Conference on Big Data (IEEE Big Data 2019), Full Paper, Los Angeles, 2019. (Acceptance rate: 19%)

• [C: IEEE BigData 19] Yang Zhang^*, Ruohan Zong⁺, Jun Han, Hao Zheng, Qiuwen Lou, Daniel Zhang^*, Dong Wang. TransLand: An Adversarial Transfer Learning Approach for Migratable Urban Land Usage Classification using Remote Sensing, IEEE International Conference on Big Data (IEEE Big Data 2019) , Full Paper, Los Angeles, 2019. (Acceptance rate: 19%)

• [J: PMC, IF=2.5] Yang Zhang^*, Daniel Zhang^*, Nathan Vance^*, Dong Wang. An Online Reinforcement Learning Approach to Quality-Cost-Aware Task Allocation for Multi-Attribute Social Sensing, Elsevier Pervasive and Mobile Computing (PMC), in press, 2019.

• [C: IEEE RTSS 19] Daniel Zhang^*, Nathan Vance^*, Yang Zhang^*, Tahmid Rashid^*, Dong Wang. EdgeBatch: Towards AI-empowered Optimal Task Batching in Intelligent Edge Systems, The 40th IEEE Real-Time Systems Symposium (RTSS) (RTSS 2019), Full Paper, Hong Kong, China, 2019. (Acceptance rate: 24%)

• [J: KBS, IF=5.1] Lanyu Shang^*, Daniel Zhang^*, Michael Wang⁺, Shuyue Lai⁺ Dong Wang. Towards Reliable Online Clickbait Video Detection: A Content-Agnostic Approach, Elsevier Knowledge Based Systems (KBS), in press, 2019.

• [C: ACM/IEEE ASONAM 19] Daniel Zhang^*, Bo Ni⁺, Qiyu Zhi, Thomas Plummer⁺, Qi Li, Hao Zheng, Qingkai Zeng, Yang Zhang^*, Dong Wang. Through The Eyes of A Poet: Classical Poetry Recommendation with Visual Input on Social Media, The IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM 2019), Full Paper, Vancouver, Canada, 2019. (Acceptance rate: 14%)

• [C: ACM/IEEE ASONAM 19] Yang Zhang^*, Hongxiao Wang, Daniel Zhang^*, Yiwen Lu⁺, Dong Wang. RiskCast: Social Sensing based Traffic Risk Forecasting via Inductive Multi-View Learning, The IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM 2019), Short Paper, Vancouver, Canada, 2019. (Acceptance rate: 15%)

• [C: IEEE ICDCS 19] Daniel Zhang^*, Yang Zhang^*, Qi Li, Thomas Plummer⁺, Dong Wang. CrowdLearn: A Crowd-AI Hybrid System for Deep Learning-based Damage Assessment Applications, The 39th IEEE International Conference on Distributed Computing (ICDCS 2019), Full Paper, Dallas, Texas, 2019. (Acceptance rate: 19.6%)

• [C: IEEE DCoSS 19] Yang Zhang^*, Hongxiao Wang, Daniel Zhang^*, Dong Wang. DeepRisk: A Deep Transfer Learning Approach to Migratable Traffic Risk Estimation in Intelligent Transportation using Social Sensing, 15th International Conference on Distributed Computing in Sensor Systems, (DCOSS19), Full Paper, Santorini, Greece, 2019. (Acceptance rate: 25%)

• [C: IEEE Infocom 19] Daniel Zhang^*, Dong Wang. An Integrated Top-down and Bottom-up Task Allocation Approach in Social Sensing based Edge Computing Systems, IEEE International Conference on Computer Communications (IEEE INFOCOM 2019), Full Paper, Paris, France, April, 2019. (Acceptance rate: 19.7%)

• [C: ACM/IEEE IoTDI 19] Daniel Zhang^*, Tahmid Rashid^*, Xukun Li, Nathan Vance^*, Dong Wang. HeteroEdge: Taming The Heterogeneity of Edge Computing System in Social Sensing, ACM/IEEE Conference on Internet of Things Design and Implementation (ACM/IEEE IoTDI 2019), Full Paper, Montreal, Canada, April, 2019. (Acceptance rate: 28%)

• [J: IEEE Computer; IF=3.6] Dong Wang, Boleslaw K. Szymanski, Tarek Abdelzaher, Heng Ji, Lance Kaplan. The Age of Social Sensing, IEEE Computer, 52(1), pp.36-45, 2019.

• [C: IEEE BigData 18] Daniel Zhang^*, Lixing Song, Qi Li, Dong Wang. StreamGuard: A Bayesian Network Approach to Copyright Infringement Detection Problem in Large-scale Live Video Sharing Systems, 2018 IEEE International Conference on Big Data (IEEE BigData 2018) , Full Paper, Seattle, December, 2018. (Acceptance rate: 18.9%)

• [C: IEEE BigData 18] Daniel Zhang^*, Lanyu Shang^*, Biao Geng⁺, Shuyue Lai⁺, Ke Li⁺, Hongmin Zhu⁺, Md Tanvir Amin, Dong Wang. FauxBuster: A Content-free Fauxtography Detector Using Social Media Comments, 2018 IEEE International Conference on Big Data (IEEE BigData 2018) , Full Paper, Seattle, December, 2018. (Acceptance rate: 18.9%)

• [C: IEEE BigData 18] Yang Zhang^*, Yiwen Lu⁺, Daniel Zhang^*, Lanyu Shang^*, Dong Wang. RiskSens: A Multi-view Learning Approach to Identifying Risky Traffic Locations in Intelligent Transportation Systems Using Social and Remote Sensing, 2018 IEEE International Conference on Big Data (IEEE BigData 2018) , Full Paper, Seattle, December, 2018. (Acceptance rate: 18.9%)

• [C: ACM/IEEE SEC 18] Daniel Zhang^*, Yue Ma, Chao Zheng, X, Sharon Hu, Dong Wang, Cooperative-Competitive Task Allocation in Edge Computing for Delay-Sensitive Social Sensing, In Proceedings of the Third ACM/IEEE Symposium on Edge Computing (SEC 18'), Full Paper, Bellevue, WA, USA, October, 2018. [A New Top Conference in Edge Computing]

• [C: ACM/IEEE ASONAM 18] Daniel Zhang^*, Qi Li, Herman Tong⁺, Jose Badilla⁺, Yang Zhang^*, Dong Wang. Crowdsourcing-based Copyright Infringement Detection in Live Video Streams, The IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM 2018) , Full Paper, Barcelona, Spain, August, 2018. (Acceptance rate: 15%)

• [C: ACM/IEEE ASONAM 18] Daniel Zhang^*, Jose Badilla⁺, Yang Zhang^*, Dong Wang. Towards Reliable Missing Truth Discovery in Online Social Media Sensing Applications, The IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM 2018) , Full Paper, Barcelona, Spain, August, 2018. (Acceptance rate: 15%)

• [J: IEEE TBD, IF=5.7] Daniel Zhang^*, Dong Wang, Nathan Vance^*, Yang Zhang^*, Steven Mike⁺. On Scalable and Robust Truth Discovery in Big Data Social Media Sensing Applications, IEEE Transactions on Big Data (TBD) , in press, 2018.

• [C: IEEE RTAS] Daniel Zhang^*, Yue Ma, Yang Zhang^*, X, Sharon Hu, Dong Wang, A Real-Time and Non-Cooperative Task Allocation Framework for Social Sensing Applications in Edge Computing Systems, 2018 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS 18) , Full Paper, Porto, Portugal, 2018.

• [C: IEEE BigData 17] Daniel Zhang^*, Dong Wang, Yang Zhang^*. Constraint-Aware Dynamic Truth Discovery in Big Data Social Media Sensing,, 2017 IEEE International Conference on Big Data (IEEE BigData 2017) , Full Paper, Boston, December, 2017. (Acceptance rate: 18%)

• [C: IEEE BigData 17] Daniel Zhang^*, Dong Wang, Hao Zheng, Xin Mu^#, Qi Li, Yang Zhang^*. Large-scale Point-of-Interest Category Prediction Using Natural Language Processing Models, 2017 IEEE International Conference on Big Data (IEEE BigData 2017), Short Paper, Boston, December, 2017. (Acceptance rate: 20%)

• [C: IEEE ICDCS 17] Daniel Zhang^*, Chao Zheng, Dong Wang, Doug Thain, Xin Mu^#, Greg Madey. Towards Scalable and Dynamic Social Sensing Using A Distributed Computing Framework, The 37th IEEE International Conference on Distributed Computing (ICDCS 2017) , Full Paper, Atlanta, GA, USA on June. (Acceptance rate: 16.9%)

• [C: IEEE BigData 16] Daniel Zhang^*, Rungang Han⁺, Dong Wang. On Robust Truth Discovery in Sparse Social Media Sensing, 2016 IEEE International Conference on Big Data (IEEE BigData 2016), Washington D.C., December, 2016. (Acceptance rate: 19%)

• [C: ACM Recsys 16] ] Jermaine Marshall^*, Dong Wang. Mood-Sensitive Truth Discovery For Reliable Recommendation Systems in Social Sensing, 10th ACM Conference on Recommender Systems (Recsys 2016), Full Paper, Boston, MA, USA, September 2016. (Acceptance rate: 18%)

• [J: PMC; IF=2.7] Prasanna Giridhar, Md Tanvir Amin, Tarek Abdelzaher, Dong Wang, Lance Kaplan, Jemin George, Raghu Ganti. ClariSense+: An Enhanced Traffic Anomaly Explanation Service Using Social Network Feeds, Pervasive and Mobile Computing, Accepted in 2016

• [C: IEEE SmartCity 15] Jize Zhang^#, Dong Wang. Duplicate Report Detection in Urban Crowdsensing Applications for Smart City, 2015 IEEE International Conference on Smart City 2015 (SmartCity 2015), Full Paper, Chengdu, China, December, 2015. (Acceptance rate: 18%)

• [C: JRTS, IF=1.85] Dong Wang, Tarek Abdelzaher, Lance Kaplan, Raghu Ganti, Shaohan Hu and Hengchang Liu. Reliable Social Sensing with Physical Constraints: Analytic Bounds and Performance Evaluation, Journal of Real-Time Systems, Volume 51, Issue 6, 2015.

• [J: IEEE Comm Magzine; IF=9] Dong Wang, Tarek Abdelzaher, and Lance Kaplan. Surrogate Mobile Sensing, IEEE Communications Magazine, Volume:52, Issue:8, 2014.

• [J: IEEE JSTSP; IF=6.7] Dong Wang, Tanvir Amin, Tarek Abdelzaher, Dan Roth, Clare Voss, Lance Kaplan, Stephen Tratzy, Jamal Laoudiy, and Douglas Briesch. Provenance-Assisted Classification in Social Networks, IEEE Journal of Selected Topics in Signal Processing (J-STSP), Volume:8, Issue:4, 2014.

• [C: IEEE IPSN 14] Dong Wang, Tanvir Amin, Shen Li, Tarek Abdelzaher, Lance Kaplan, Siyu Gu, Chenji Pan, Hengchang Liu, Charu Aggrawal, Raghu Ganti, XinLei Wang, Prasant Mohapatra, Boleslaw Szymanski, Hieu Le. Humans as Sensors: An Estimation Theoretic Perspective, The 13th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN 14), Berlin, Germany, April, 2014. (Acceptance rate: 20%)

• [J: ACM ToSN; IF=2.5] Dong Wang, Lance Kaplan, Tarek Abdelzaher. Maximum Likelihood Analysis of Conflicting Observations in Social Sensing, ACM Transactions on Sensor Networks (ToSN), Vol. 10, No. 2, Article 30, January, 2014.

• [C: IEEE RTSS 13] Dong Wang, Tarek Abdelzaher, Lance Kaplan, Raghu Ganti, Shaohan Hu and Hengchang Liu. Exploitation of Physical Constraints for Reliable Social Sensing, IEEE 34th Real-Time Systems Symposium (RTSS 13) Vancouver, Canada, December, 2013. (Acceptance rate: 22%)

• [C: IEEE ICDCS 13] Dong Wang, Tarek Abdelzaher, Lance Kaplan, and Charu Aggarwal. Recursive Fact-Finding: A Streaming Approach to Truth Estimation in Crowdsourcing Applications, In Proc. 2013 IEEE 33rd International Conference on Distributed Computing Systems (ICDCS 13) Philadelphia, PA, July 2013. (Acceptance rate: 13%)

• [J: IEEE JSAC; IF=13] Dong Wang, Lance Kaplan, Tarek Abdelzaher, and Charu Aggarwal. On Credibility Estimation Tradeoffs in Assured Social Sensing, IEEE Journal On Selected Areas in Communication (JSAC), Vol 31. No. 6, June 2013.

• [C: IEEE SECON 12] Dong Wang, Lance Kaplan, Tarek Abdelzaher and Charu C. Aggarwal. On Scalability and Robustness Limitations of Real and Asymptotic Confidence Bounds in Social Sensing, The 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON 12) , Seoul, Korea, from June, 2012. (Acceptance rate: 19%)

• [C: IEEE IPSN 12] Dong Wang, Lance Kaplan, Hieu Le, and Tarek Abdelzaher. On Truth Discovery in Social Sensing: A Maximum Likelihood Estimation Approach, The 11th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN 12) Beijing, China April 2012. (Acceptance rate: 15%)

• [J: JRTS; IF=1.7] Dong Wang, Tarek Abdelzaher, Bodhi Priyantha, Jie Liu, Feng Zhao. Energy-optimal Batching Periods for Asynchronous Multistage Data Processing on Sensor Nodes: Foundations and an mPlatform Case Study, Journal of Real-Time Systems Volume 48, Issue 2 (2012), Page 135-165.

• [C: IEEE RTAS 10] Qing Cao, Dong Wang, Tarek Abdelzaher, Bodhi Priyantha, Jie Liu, Feng Zhao, Energy-optimal Batching Periods for Asynchronous Multistage Data Processing on Sensor Nodes: Foundations and an mPlatform Case Study, 16th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS 2010) Stockholm, Sweden, April, 2010 (Best Paper Award) .

Note: In Computer and Information Science, conference publications are as competitive as journals.