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.
• Dong Wang and Daniel (Yue) Zhang. "Social Edge Computing: Empowering Human-Centric Edge Computing, Learning and Intelligence," Springer Nature, 2023.
• Dong Wang, Tarek Abdelzaher, and Lance Kaplan. "Social Sensing: Building Reliable Systems on Unreliable Data," Elsevier, 2015.

Book Chapter

• Dong Wang. "A Mood-sensitive Recommendation System in Social Sensing," The Institution of Engineering and Technology (IET), 2019.

• Dong Wang. "Data Reliability Challenges of Cyber-Physical Systems," Elsevier, 2016.

• Dong Wang. "Big Data and Information Distillation in Social Sensing," Taylor & Francis LLC, CRC Press, 2015.

• Tarek Abdelzaher and Dong Wang. "Analytic Challenges in Social Sensing," The Art of Wireless Sensor Networks, Springer, 2014.

Referred Papers

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

2026

• [C: ICML 26] Ruohan Zong^*, Yang Zhang^*, Dong Wang. Conflict-Aware Adaptive Alignment for LLM Hallucination Mitigation, Forty-Third International Conference on Machine Learning (ICML 2026) , Full Paper, Seoul, South Korea, July, 2026. (Acceptance rate: 26.6%)

• [J: TETC 26] Yang Zhang^*, Ruohan Zong^*, Lanyu Shang^*, Huimin Zeng, Zhenrui Yue^*, Dong Wang. ColReg: A Generative Subjective Logic-driven Crowd-AI Collaborative Regression Framework for Vehicle Damage Estimation, IEEE Transactions on Emerging Topics in Computing (TETC) , in press. (Impact Factor: 5.4)

• [C: SIGIR 26] Yifan Liu^*, Yaokun Liu^*, Zelin Li^*, Zhenrui Yue^*, Ruichen Yao^*, Yang Zhang^*, Dong Wang. Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation, 49th International ACM Conference on Research and Development in Information Retrieval 2026 (SIGIR 2026), Full Paper, Melbourne, Australia, July, 2026. (Acceptance rate: 18.4%)

• [C: SIGIR 26] Gyuseok Lee^*, Wonbin Kweon, Zhenrui Yue^*, Yaokun Liu^*, Yifan Liu^*, Susik Yoon, Dong Wang, SeongKu Kang. SPRINT: Scalable and Predictive Intent Refinement for LLM-Enhanced Session-based Recommendation, 49th International ACM Conference on Research and Development in Information Retrieval 2026 (SIGIR 2026), Full Paper, Melbourne, Australia, July, 2026. (Acceptance rate: 18.4%)

• [C: ICWSM 26] Ruichen Yao^*, Tejna Dasari^#, Xuanyu Meng^#, Elliot Cao^#, Zelin Li^*, Yifan Liu^*, Yaokun Liu^*, Lanyu Shang^*, Dong Wang. DisImpact: Quantifying the Physi-Social Impact of Natural Disasters through Social Media, , The International AAAI Conference on Web and Social Media (ICWSM 2026), Full Paper, Main Track, Los Angeles, CA, USA, 2026

• [C: ICWSM 26] Ruichen Yao^*, Aslanbek Murzakhmetov^#, Raaghav Pillai^#, Aliya Maussymbayev^#, Zelin Li^*, Yifan Liu^*, Yaokun Liu^*, Lanyu Shang^*, Yang Zhang^*, Dong Wang. MASH: A Multiplatform and Multimodal Annotated Dataset for Societal Impact of Hurricane, The International AAAI Conference on Web and Social Media (ICWSM 2026), Full Paper, Dataset Track, Los Angeles, CA, USA, 2026 (Acceptance rate: 4.7%)

• [C: WWW 26] Zelin Li^*, Yifan Liu^*, Huimin Zeng, Yaokun Liu^*, Ruichen Yao^*, Yang Zhang^*, Dong Wang. Red-Teaming Privacy-Protective Perturbations: Blind Face Restoration as an Attack Strategy, The ACM Web Conference 2026 (WWW 2026), Full Paper, Main Track, Dubai, United Arab Emirates, April, 2026 (Acceptance rate: 20%)

• [C: WWW 26] Yaokun Liu^*, Yifan Liu^*, Phoebe Mbuvi, Yaokun Liu^*, Zelin Li^*, Ruichen Yao^*, Gawon Lim, Dong Wang. Mind the Ambiguity: Aleatoric Uncertainty Quantification in LLMs for Safe Medical Question Answering, The ACM Web Conference 2026 (WWW 2026), Full Paper, Special Track on Web4Good, Dubai, United Arab Emirates, April, 2026. (Acceptance rate: 21.7%)

• [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%)

  2025

• [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: CSCW 25] Yeaeun Gong^*, Yifan Liu^*, Lanyu Shang^*, Na Wei, Dong Wang. Designing Effective AI Explanations for Misinformation Detection: A Comparative Study of Content, Social, and Combined Explanations, 28th ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social Computing (CSCW 25), Full Paper, Bergen, Norway, October, 2025.

• [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: ICWSM 25] Ruohan Zong^*, Yang Zhang^*, Dong Wang. Impowering LLMs to Synthesize AI and Human Intelligence for Explainable Public Health Misinformation Detection on Social Media, he International AAAI Conference on Web and Social Media (ICWSM 2025), Full Paper, Copenhagen, Denmark, June, 2025. (Acceptance rate: 9.6%)

• [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

• [J: TBD 25] Lanyu Shang^*, Yang Zhang^*, Yawen Dneng^#, Dong Wang. MultiTec: A Data-driven Multimodal Short Video Detection Framework for Healthcare Misinformation on TikTok, IEEE Transactions on Big Data (TBD), in press, 2025. (Impact Factor: 7.5)

• [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: ACM WSDM 25] Yueqi Wang, Zhankui He, Zhenrui Yue^*, Huimin Zeng^*, Julian McAuley, Dong Wang. Your Causal Self-attentive Recommender Hosts a Lonely Neighborhood, The 18th ACM International Conference Web Search and Data Mining (WSDM 2025), Full Paper, Hannover, Germany, March, 2025. (Acceptance rate: 17.3%).

  2024

• [C: IEEE BigData 24] Huimin Zeng^*, Zhenrui Yue^*, Qian Jiang, Dong Wang. Federated Recommendation via Hybrid Retrieval Augmented Generation, 2024 IEEE International Conference on Big Data (IEEE BigData 2024), Full Paper, Washington DC, USA, December, 2024.

• [C: IEEE BigData 24] Zhenrui Yue^*, Huimin Zeng^*, Yang Zhang^*, Julian McAuley, Dong Wang. Transferable Sequential Recommendation via Vector Quantized Meta Learning, 2024 IEEE International Conference on Big Data (IEEE BigData 2024), Short Paper, Washington DC, USA, December, 2024.

• [C: EMNLP 24] Yueqi Wang, Zhenrui Yue^*, Huimin Zeng^*, Dong Wang, Julian McAuley. Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendation, The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), Full Paper (Findings), Miami, Florida, November, 2024.

• [C: ASONAM 24] Yifan Liu^*, Yike Li⁺, Yang Zhang^*, Dong Wang. Intertwined Biases Across Social Media Spheres: Unpacking Correlations in Media Bias Dimensions, The 16th IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM 2024), Short Paper, Calabria, Italy, September, 2024.

• [J: MBE] Renjing Jiang, Zhenrui Yue^*, Lanyu Shang^*, Dong Wang, Na Wei. PEZy-Miner: An artificial intelligence driven approach for the discovery of plastic-degrading enzyme candidates, Metabolic Engineering Communications, Volume 19, 2024. (Impact Factor: 3.7)

• [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: ICWSM 24] Lanyu Shang^*, Bozhang Cheng⁺, Anav Vora, Yang Zhang^*, Zhenrui Yue^*, Ximing Cai, Dong Wang. A Social and News Media Driven Dataset and Analytical Platform Towards Understanding Societal Impact of Drought, The International AAAI Conference on Web and Social Media (ICWSM 2024), Dataset Track Paper, Buffalo, New York, June 2024.

• [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: 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)

  2023

• [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%)

• [J: KBS] Yang Zhang^*, Ruohan Zong^*, Lanyu Shang^*, Dong Wang. A Crowd-AI Dynamic Neural Network Hyperparameter Optimization Approach for Image-driven Social Sensing Applications, Elsevier Knowledge-Based Systems (KBS), in press, 2023. (Impact Factor: 8.8)

• [C: SECON 23] Yang Zhang^*, Ruohan Zong^*, Lanyu Shang^*, Huimin Zeng^*, Zhenrui Yue^*, Dong Wang. A Crowdsourced Learning Framework to Optimize Cross-Event QoS in AI-powered Social Sensing, The 20th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON 23), Full Paper, Madrid, Spain, September, 2023. (Acceptance rate: 23.6%)

• [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%)

• [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)

• [C: 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] Lanyu Shang^*, Yang Zhang^*, Quanhui Ye, Shannon L. Speir, Brett W. Peters, Ying Wu, Casey J. Stoffel, Diogo Bolster, Jennifer L. Tank, Danielle M. Wood, Na Wei, Dong Wang. CrowdWaterSens: An Uncertainty-aware Crowdsensing Approach to Groundwater Contamination Estimation, Elsevier Pervasive and Mobile Computing (PMC), in press, 2023. (Impact Factor: 3.85)

• [J] 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.

• [J: KBS] Huimin Zeng^*, Zhenrui Yue^*, Ziyi Kou^*, Yang Zhang^*, Lanyu Shang^*, Dong Wang. Fairness-aware Training of Face Attribute Classifiers via Adversarial Robustness, Elsevier Knowledge-Based Systems (KBS), in press, 2023. (Impact Factor: 8.8)

• [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.

• [J: PMC] Md Tahmid Rashid^*, Dong Wang. CSEIS: A Spatiotemporal-aware Event Investigation Framework for Social Airborne Sensing in Disaster Recovery Applications, Elsevier Pervasive and Mobile Computing (PMC), in press, 2023. (Impact Factor: 3.85)

  2022

• [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: BigData 22] Huimin Zeng^*, Zhenrui Yue^*, Lanyu Shang^*, Yang Zhang^*, Dong Wang. Boosting Demographic Fairness of Face Attribute Classifiers via Latent Adversarial Representations, 2022 IEEE International Conference on Big Data (BigData 2022), Short Paper, Osaka, Japan, December, 2022. (Acceptance rate: 18.6%)

• [C: ASONAM 22] Huimin Zeng^*, Zhenrui Yue^*, Ziyi Kou^*, Lanyu Shang^*, Yang Zhang^*, Dong Wang. Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup, The IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM 2022), Short Paper, Istanbul, Turkey, November, 2022.

• [C: 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: 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: 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, the 29th Conference on Computational Linguistics (COLING 2022), Full Paper, Korea, October, 2022.

• [J: TCSS 22] 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: 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: TGRS] 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: 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)

• [J: KBS] 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. (IF: 8)

• [C: DCOSS 22] Zhenrui Yue^*, Huimin Zhen^*, Ziyi Kou^*, Lanyu Shang^*, Dong Wang. Efficient Localness Transformer for Smart Sensor-Based Energy Disaggregation, IEEE International Conference on Distributed Computing in Sensor Systems, (DCOSS 2022), Full Paper, Marina Del Rey, LA, California, 2022.

• [C: 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: KBS] Yang Zhang^*, Ruohan Zong^*, Ziyi Kou^*, Lanyu Shang^*, Dong Wang. On Streaming Disaster Damage Assessment in Social Sensing: A Crowd-driven Dynamic Neural Architecture Searching Approach, Elsevier Knowledge-Based Systems (KBS), Volume 239, p.107984, 2022. (IF: 8)

• [J: TBD] 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. (IF: 3.3)

• [J: GROUNDWATER] Shannon L. Speir, Lanyu Shang^*, Diogo Bolster, Jennifer L. Tank, Casey J. Stoffel, Danielle M. Wood, Brett W. Peters, Na Wei, Dong Wang. Solutions to current challenges in widespread monitoring of groundwater quality via crowdsensing, Wiley Groundwater, in press, 2022. (IF: 2.03)

  2021

• [C: BigData 21] Ziyi Kou^*, Lanyu Shang^*, Huimin Zeng^*, Yang Zhang^*, Dong Wang. ExgFair: A Crowdsourcing Data Exchange Approach To Fair Human Face Datasets Augmentation, 2021 IEEE International Conference on Big Data (IEEE BigData 2021), Short Paper, Virtual Conference, December, 2021. (Acceptance rate: 19%)

• [J: IPM] 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. (IF:6.2)

• [C: SNAM] Lanyu Shang^*, Daniel Zhang^*, Jialie Shen, Eamon Lopez Marmion⁺, Dong Wang. CCMR: A Classic-enriched Connotation-aware Music Retrieval System on Social Media with Visual Inputs, Springer Social Network Analysis and Mining (SNAM), in press, 2021. (IF: 3.87)

• [C: 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: TCSS] 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. (IF:5.36)

• [C: 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%)

• [C: IPCC 21] Md Tahmid Rashid^*, Dong Wang. Unravel: An Anomalistic Crowd Investigation Framework Using Social Airborne Sensing, 40th IEEE International Performance Computing and Communications Conference, Full Paper, Virtual Conference, 2021. (Acceptance rate: 29%)

• [J: IPM] 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) , in press, 2021. (IF: 6.2)

• [J: TBD] 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. (IF: 3.3)

• [C: eScience] Lanyu Shang^*, Christina Youn⁺, Yuheng Zha⁺, Yang Zhang^*, Dong Wang. KnowMeme: A Knowledge-enriched Graph Neural Network Solution to Offensive Meme Detection, 17th IEEE eScience 2021 , Full Paper, Virtual Conference, 2021.

• [C: DCoSS 21] Md Tahmid Rashid^*, Daniel Zhang^*, Dong Wang. HeteroSAS: A Heterogeneous Resource Management Framework for "All-in-the-Air" Social Airborne Sensing in Disaster Response, IEEE International Conference on Distributed Computing in Sensor Systems, (DCOSS 2021) , Full Paper, Virtual Conference, 2021.

• [C: 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: IWQoS 21] Yang Zhang^*, Ruohan Zong⁺, Ziyi Kou^*, Lanyu Shang^*, Dong Wang. A Crowd-driven Dynamic Neural Architecture Searching Approach to Quality-aware Streaming Disaster Damage Assessment, IEEE/ACM International Symposium on Quality of Service (IEEE/ACM IWQoS 2021) , Short Paper, Virtual Conference, June, 2021.

• [C: IWQoS 21] Yang Zhang^*, Ruohan Zong⁺, Lanyu Shang^*, Md Tahmid Rashid^*, Dong Wang. SuperClass: A Deep Duo-Task Learning Approach to Improving QoS in Image-driven Smart Urban Sensing Applications, IEEE/ACM International Symposium on Quality of Service (IEEE/ACM IWQoS 2021) , Short Paper, Virtual Conference, June, 2021.

• [C: PAKDD 21] Siamul Karim Khan^*, Daniel Zhang^*, Ziyi Kou^*, Yang Zhang^*, Dong Wang. PhotoStylist: Altering the Style of Photos based on the Connotations of Texts, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021), Full Paper, Virtual Conference , May, 2021. (Acceptance rate: 20%)

• [C: INFOCOM 21] Daniel Zhang^*, 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. (Acceptance rate: 19.9%)

• [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)

• [J: ASB] Ying Wu, Chien-Wei Wang, Dong Wang, Na Wei. A Whole-Cell Biosensor for Point-of-Care Detection of Waterborne Bacterial Pathogens, ACS Synthetic Biology , in press, 2021. (IF: 5.11)

• [J: AIR] Tahmid Rashid^*, Dong Wang. CovidSens: A Vision on Reliable Social Sensing for COVID-19, Springer Artificial Intelligence Review , in press, 2021. (IF: 5.1)

• [J: AHN] Yang Zhang ^*, Daniel Zhang ^*, Dong Wang. On migratable traffic risk estimation in urban sensing: A social sensing based deep transfer network approach, Elsevier Ad Hoc Networks , in press, 2021.

  2020

• [C: 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%)

• [C: BigData 20] Ziyi Kou ^*, Daniel Zhang^*, Lanyu Shang ^*, Dong Wang. ExFaux: A Weakly Supervised Approach to Explainable Fauxtography Detection, 2020 IEEE International Conference on Big Data (IEEE BigData 2020) , Short Paper, Virtual Conference, December, 2020. (Acceptance rate: 16.5%)

• [C: ASONAM 20] Lanyu Shang^*, Daniel Zhang^*, Siamul Karim Khan^*, Dong Wang. CaMR: Towards Connotation-aware Music Retrieval on Social Media with Visual Inputs, The IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM 2020) , Short Paper, Virtual Conference, December, 2020. (Acceptance rate: 21%)

• [C: ASONAM 20] Yang Zhang ^*, Ruohan Zong⁺, Dong Wang. A Hybrid Transfer Learning Approach to Migratable Disaster Assessment in Social Media Sensing, The IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM 2020) , Full Paper, Virtual Conference, December, 2020. (Acceptance rate: 17.8%)

• [J: SNAM] Lanyu Shang^*, Yang Zhang^*, Daniel Zhang^*, Dong Wang. FauxWard: a graph neural network approach to fauxtography detection using social media comments. Springer Social Network Analysis and Mining (SNAM) , in press, 2020.

• [J: CEJ] Zhong Shifa, Kai Zhang, Dong Wang, Huichun Zhang. Shedding light on “Black Box” machine learning models for predicting the reactivity of HO radicals toward organic compounds, Eslevier Chemical Engineering Journal , in press, 2020.

• [J: IoT] 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. (IF: 9.5)

• [C: 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: 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: SECON 20] Yang Zhang^*, Xiangyu Dong⁺, Lanyu Shang^*, Daniel Zhang^*, Dong Wang. A Multi-modal Graph Neural Network Approach to Traffic Risk Forecasting in Smart 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: 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%)

• [J: PMC] Md Tahmid Rashid^*, Daniel Zhang^*, Dong Wang. DASC: Towards a road Damage-Aware Social-media-driven Car sensing framework for disaster response applications, Elsevier Pervasive and Mobile Computing (PMC) , in press, 2020.

• [C: DCoSS 20] Md Tahmid Rashid^*, Yang Zhang^*, Daniel Zhang^*, Dong Wang. CompDrone: Towards Integrated Computational Model and Social Drone Based Wildfire Monitoring, 16th IEEE International Conference on Distributed Computing in Sensor Systems, (DCOSS 2020), Full Paper, Marina Del Rey, LA, California, 2020

• [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: TBD] 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. (IF: 5.7)

  2019

• [C: 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: 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%)

• [C: MSN 19] Md Tahmid Rashid^*, Daniel Zhang^*, Dong Wang. SocialCar: A Task Allocation Framework for Social Media Driven Vehicular Network Sensing Systems, The 15th International Conference on Mobile Ad-hoc and Sensor Networks (MSN 19), Full Paper, Hong Kong, China, 2019.

• [C: ICPADS 19] Md Tahmid Rashid^*, Daniel Zhang^*, Lanyu Shang^*, Dong Wang. SEAD: Towards A Social-Media-Driven Energy-Aware Drone Sensing Framework, IEEE 25th International Conference on Parallel and Distributed Systems (IEEE ICPADS 2019), Full Paper, Tianjin, China, 2019. (Acceptance rate: 28%)

• [J: PMC] 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: 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: 28%)

• [J: KBS] 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. (IF: 5.1)

• [C: 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: 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: ASONAM 19] Yang Zhang^*, Xiangyu Dong⁺,, Daniel Zhang^*, Dong Wang. A Syntax-based Learning Approach to Geo-locating Abnormal Traffic Events using Social Sensing, The IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM 2019), Vancouver, Canada, 2019. (Invited Paper)

• [C: 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: HPCC 19] Nathan Vance^*, Daniel Zhang^*, Dong Wang. EdgeCache: A Game-theoretic Edge-based Content Caching System for Crowd Video Sharing, The 21th IEEE International Conferences on High Performance Computing and Communications (HPCC 2019), Full Paper, Hubei, China, 2019.

• [C: Smart City 19] Nathan Vance^*, Daniel Zhang^*, Yang Zhang^*, Dong Wang. Towards Optimal Incentive-driven Verification in Social Sensing based Smart City Applications, The 17th IEEE International Conference on Smart City (Samrt-City 2019), Full Paper, Hubei, China, 2019.

• [C: Smart City 19] Tahmid Rashid^*, Daniel Zhang^*, Dong Wang. EdgeStore: Towards an Edge-based Distributed Storage System for Emergency Response, The 17th IEEE International Conference on Smart City (Samrt-City 2019), Full Paper, Hubei, China, 2019.

• [C: ICCCN 19] Daniel Zhang^*, Nathan Vance^*, Dong Wang. When Social Sensing Meets Edge Computing: Vision and Challenges, The 28th International Conference on Computer Communications and Networks (ICCCN 2019), Full Paper, Valencia, Spain, 2019. (Invited Paper).

• [C: ICCCN 19] Tahmid Rashid^*, Daniel Zhang^*, Zhiyu Liu, Hai Lin, Dong Wang. CollabDrone: A Collaborative Spatiotemporal-Aware Drone Sensing System Driven by Social Sensing Signals, The 28th International Conference on Computer Communications and Networks (ICCCN 2019), Full Paper, Valencia, Spain, 2019. (Acceptance rate: 29%)

• [C: 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: Smartcomp 19] Nathan Vance^*, Tahmid Rashid^*, Daniel Zhang^*, Dong Wang. Towards Reliability in Online High-Churn Edge Computing: A Deviceless Pipelining Approach, The 5th IEEE International Conference on Smart Computing (SMARTCOMP 2019), Full Paper, Washington DC, 2019.

• [C: INFOCOM 19] Daniel Zhang^*, Dong Wang. Meet-in-the-Middle: 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: 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: Computer] Dong Wang, Boleslaw K. Szymanski, Tarek Abdelzaher, Heng Ji, Lance Kaplan, "The Age of Social Sensing," IEEE Computer, 52(1), pp.36-45, 2019. (IF: 3.6)

• [J: IFJ] Aastha Nigam^#, Reid A Johnson, Dong Wang, Nitesh V Chawla. Characterizing Online Health and Wellness Information Consumption: A Study, Information Fusion Journal , 46, pp.33-43, 2019. (IF: 5.9)

  2018

• [C: 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: 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: 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: IPCCC 18] Yang Zhang^*, Daniel Zhang^*, Nathan Vance^*, Qi Li, Dong Wang, Towards Optimized Online Task Allocation in Cost-Sensitive Crowdsensing Applications. 37th IEEE International Performance Computing and Communications Conference, IPCCC 2018 , Full Paper, Orlando, Florida, USA, November, 2018. (Acceptance rate: 28%)

• [C: ICPADS 18] Nathan Vance^*, Daniel Zhang^*, Yang Zhang^*, Dong Wang, Privacy-aware Edge Computing in Social Sensing Applications using Ring Signatures. IEEE 24th International Conference on Parallel and Distributed Systems (IEEE ICPADS 2018) , Full Paper, Singapore, December, 2018.

• [C: ICPADS 18] Yang Zhang^*, Daniel Zhang^*, Nathan Vance^*, Qi Li, Dong Wang, A Light-weight and Quality-aware Online Adaptive Sampling Approach for Streaming Social Sensing in Cloud Computing. IEEE 24th International Conference on Parallel and Distributed Systems (IEEE ICPADS 2018) , Full Paper, Singapore, December, 2018.

• [C: 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. [Top Conference in Edge Computing]

• [C: MASS 18] Daniel Zhang^*, Yang Zhang^*, Qi Li, Nathan Vance^*, Dong Wang, Robust State Prediction with Incomplete and Noisy Measurements in Collaborative Sensing, The 15th International Conference on Mobile Ad-hoc and Sensor Systems (MASS 2018) , Full Paper, Chengdu, October, 2018.

• [C: 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: 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%)

• [C: ICCCN 18] Yang Zhang^*, Nathan Vance^*, Daniel Zhang^*, Dong Wang. Optimizing Online Task Allocation for Multi-Attribute Social Sensing, The 27th International Conference on Computer Communications and Networks (ICCCN 2018) , Full Paper, Hangzhou, China, July, 2018. (Acceptance rate: 29%)

• [J: TBD] 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. (IF: 5.7)

• [C: DCoSS 18] Yang Zhang^*, Nathan Vance^*, Daniel Zhang^*, Dong Wang, "On Opinion Characterization in Social Sensing: A Multi-View Subspace Learning Approach", IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS 18) , Full Paper, New York, June, 2018.

• [C: RTAS 18] 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.

  2017

• [C] 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] 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] Jermaine Marshall^*, Arturo Argueta, Dong Wang. "A Neural Network Approach for Truth Discovery in Social Sensing," The 14th International Conference on Mobile Ad-hoc and Sensor Systems (MASS 17), Short Paper, Orlando, Florida, October, 2017.

• [C] Daniel Zhang^*, Chao Zhang, 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%)

  2016

• [C] 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] 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%)

• [C] Jermaine Marshall^*, Munira Syed, Dong Wang. "Hardness-aware Truth Discovery in Social Sensing Applications," 12th IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS 16), Full Paper, Washington D.C., May, 2016.

• [J] 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] Jermaine Marshall^*, Dong Wang. "Towards Emotional-aware Truth Discovery in Social Sensing Applications," The 2nd IEEE International Conference on Smart Computing (SMARTCOMP 2016), Full Paper, St. Louis, Missouri, May, 2016.

  2015

• [C] 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%)

• [J] 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.

• [W] Dong Wang. "Data Reliability Challenge of Future Cyber-Physical Systems for Smart Cities," 2015 NSF Early-Career Investigators Workshop on CPS and Smart City, Invited Paper, Seattle, WA, April, 2015.

  2014

• [J] Dong Wang, Tarek Abdelzaher, and Lance Kaplan. "Surrogate Mobile Sensing," IEEE Communications Magazine, Volume:52, Issue:8, 2014.

• [J] 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] Shiguang Wang, Dong Wang, Lu Su, Lance Kaplan, and Tarek Abdelzaher, Towards Cyber-physical Systems in Social Spaces: The Data Reliability Challenge, IEEE Real-time Systems Symposium (RTSS), Rome, Italy, December 2014.

• [C] Md Tanvir Amin, Tarek Abdelzaher, Dong Wang , Boleslaw Szymanski. "Crowd-sensing with Polarized Sources," In Proc. 10th IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS) , Marina Del Rey, CA, May 2014.

• [C] Siyu Gu, Chenji Pan, Hengchang Liu, Shen Li, Shaohan Hu, Lu Su, Shiguang Wang, Dong Wang, Tanvir Amin, Ramesh Govindan, Charu Aggarwal, Raghu Ganti, Mudhakar Srivatsa, Amotz Barnoy, Peter Terlecky, Tarek Abdelzaher "Data Extrapolation in Social Sensing for Disaster Response," In Proc. 10th IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS), Marina Del Rey, CA, May 2014.

• [C] 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] 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.

  Before 2014

• [C] 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] 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] 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] Hongzhao Huang, Arkaitz Zubiaga, Heng Ji, Hongbo Deng, Dong Wang, Hieu Khac Le, Tarek Abdelzaher, Jiawei Han, Alice Leung, John Hancock and Clare Voss, "Tweet Ranking based on Heterogeneous Networks," in Proc. 24th International Conference on Computational Linguistics, Mumbai, India, December 2012.

• [C] 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] 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] 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] Dong Wang, Tarek Abdelzaher, Hossein Ahmadi, Jeff Pasternack, Dan Roth, Manish Gupta, Jiawei Han, Omid Fatemieh, and Hieu Le, Charu Aggarwal, "On Bayesian Interpretation of Fact-finding in Information Networks", 14th International Conference on Information Fusion (Fussion 11) Chicago, IL, July, 2011.

• [C] Dong Wang, Hossein Ahmadi, Harsha Chenji, Tarek Abdelzaher, Radu Stoleru, C. C. Aggarwal "Optimizing Quality-of-Information in Cost-sensitive Sensor Data Fusion", 7th IEEE International Conference on Distributed Computing in Sensor Systems, Barcelona (DCoSS 11) Spain, June 2011. (Acceptance rate: 28%)

• [W] Dong Wang, Tarek Abdelzaher, Lance Kaplan, and Charu C. Aggarwal. "On Quantifying the Accuracy of Maximum Likelihood Estimation of Participant Reliability in social sensing". 8th International Workshop on Data Management for Sensor Networks (DMSN11) in Conjunction with VLDB , Seattle, WA, August 2011.

• [C] 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) .

• [J] Jin Heo, Praveen Jayachandran, Insik Shiny, Dong Wang, Tarek Abdelzaher, and Xue Liu, "OptiTuner: An Automatic Distributed Performance Optimization Service and its Application to a Server Farm Energy Minimization Case Study", IEEE Transactions on Parallel and Distributed Systems, 2010.

• [C] Qing Cao, Dong Wang, Tarek Abdelzaher, "End-User Diagnosis of Communication Paths in Sensor Network Systems". The 38th International Conference on Parallel Processing (ICPP-2009) (Acceptance rate: 32%)

• [W] Jin Heo, Praveen Jayachandran, Insik Shiny, Dong Wang, and Tarek Abdelzaher "OptiTuner: An Automatic Distributed Performance Optimization Service and a Server Farm Application" , FeBID: Fourth International Workshop on Feedback Control Implementation and Design in Computing Systems and Networks 2009.

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