Lanyu Shang
Orcid: 0000-0002-7480-6889
According to our database1,
Lanyu Shang
authored at least 57 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
CoRR, 2024
2023
A crowd-AI dynamic neural network hyperparameter optimization approach for image-driven social sensing applications.
Knowl. Based Syst., October, 2023
Knowl. Based Syst., March, 2023
What and Why? Towards Duo Explainable Fauxtography Detection Under Constrained Supervision.
IEEE Trans. Big Data, February, 2023
CrowdWaterSens: An uncertainty-aware crowdsensing approach to groundwater contamination estimation.
Pervasive Mob. Comput., 2023
ContrastFaux: Sparse Semi-supervised Fauxtography Detection on the Web using Multi-view Contrastive Learning.
Proceedings of the ACM Web Conference 2023, 2023
CollabEquality: A Crowd-AI Collaborative Learning Framework to Address Class-wise Inequality in Web-based Disaster Response.
Proceedings of the ACM Web Conference 2023, 2023
A Crowdsourced Learning Framework to Optimize Cross-Event QoS in AI-powered Social Sensing.
Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023
On Optimizing Model Generality in AI-based Disaster Damage Assessment: A Subjective Logic-driven Crowd-AI Hybrid Learning Approach.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Manipulating Out-Domain Uncertainty Estimation in Deep Neural Networks via Targeted Clean-Label Poisoning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
A Crowd-AI Collaborative Duo Relational Graph Learning Framework towards Social Impact Aware Photo Classification.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
On Coupling Classification and Super-Resolution in Remote Urban Sensing: An Integrated Deep Learning Approach.
IEEE Trans. Geosci. Remote. Sens., 2022
CollabLearn: An Uncertainty-Aware Crowd-AI Collaboration System for Cultural Heritage Damage Assessment.
IEEE Trans. Comput. Soc. Syst., 2022
A Multi-Branch Decoder Network Approach to Adaptive Temporal Data Selection and Reconstruction for Big Scientific Simulation Data.
IEEE Trans. Big Data, 2022
CrowdOptim: A Crowd-driven Neural Network Hyperparameter Optimization Approach to AI-based Smart Urban Sensing.
Proc. ACM Hum. Comput. Interact., 2022
CrowdNAS: A Crowd-guided Neural Architecture Searching Approach to Disaster Damage Assessment.
Proc. ACM Hum. Comput. Interact., 2022
HC-COVID: A Hierarchical Crowdsource Knowledge Graph Approach to Explainable COVID-19 Misinformation Detection.
Proc. ACM Hum. Comput. Interact., 2022
An active one-shot learning approach to recognizing land usage from class-wise sparse satellite imagery in smart urban sensing.
Knowl. Based Syst., 2022
On streaming disaster damage assessment in social sensing: A crowd-driven dynamic neural architecture searching approach.
Knowl. Based Syst., 2022
SAT-Geo: A social sensing based content-only approach to geolocating abnormal traffic events using syntax-based probabilistic learning.
Inf. Process. Manag., 2022
A Duo-generative Approach to Explainable Multimodal COVID-19 Misinformation Detection.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Can I only share my eyes? A Web Crowdsourcing based Face Partition Approach Towards Privacy-Aware Face Recognition.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
SmartWaterSens: A Crowdsensing-based Approach to Groundwater Contamination Estimation.
Proceedings of the 2022 IEEE International Conference on Smart Computing, 2022
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022
A Privacy-aware Distributed Knowledge Graph Approach to QoIS-driven COVID-19 Misinformation Detection.
Proceedings of the 30th IEEE/ACM International Symposium on Quality of Service, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Crowd, Expert & AI: A Human-AI Interactive Approach Towards Natural Language Explanation Based COVID-19 Misinformation Detection.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the 18th International Conference on Distributed Computing in Sensor Systems, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Boosting Demographic Fairness of Face Attribute Classifiers via Latent Adversarial Representations.
Proceedings of the IEEE International Conference on Big Data, 2022
Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022
A Knowledge-driven Domain Adaptive Approach to Early Misinformation Detection in an Emergent Health Domain on Social Media.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022
2021
CCMR: A Classic-enriched Connotation-aware Music Retrieval System on Social Media with Visual Inputs.
Soc. Netw. Anal. Min., 2021
Inf. Process. Manag., 2021
SuperClass: A Deep Duo-Task Learning Approach to Improving QoS in Image-driven Smart Urban Sensing Applications.
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021
A Crowd-driven Dynamic Neural Architecture Searching Approach to Quality-aware Streaming Disaster Damage Assessment.
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021
FairCrowd: Fair Human Face Dataset Sampling via Batch-Level Crowdsourcing Bias Inference.
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021
StreamCollab: A Streaming Crowd-AI Collaborative System to Smart Urban Infrastructure Monitoring in Social Sensing.
Proceedings of the Ninth AAAI Conference on Human Computation and Crowdsourcing, 2021
KnowMeme: A Knowledge-enriched Graph Neural Network Solution to Offensive Meme Detection.
Proceedings of the 17th IEEE International Conference on eScience, 2021
FakeSens: A Social Sensing Approach to COVID-19 Misinformation Detection on Social Media.
Proceedings of the 17th International Conference on Distributed Computing in Sensor Systems, 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
ExgFair: A Crowdsourcing Data Exchange Approach To Fair Human Face Datasets Augmentation.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
A deep contrastive learning approach to extremely-sparse disaster damage assessment in social sensing.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021
2020
FauxWard: a graph neural network approach to fauxtography detection using social media comments.
Soc. Netw. Anal. Min., 2020
A Multi-modal Graph Neural Network Approach to Traffic Risk Forecasting in Smart Urban Sensing.
Proceedings of the 17th Annual IEEE International Conference on Sensing, 2020
PQA-CNN: Towards Perceptual Quality Assured Single-Image Super-Resolution in Remote Sensing.
Proceedings of the 28th IEEE/ACM International Symposium on Quality of Service, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020
2019
Knowl. Based Syst., 2019
Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019
Proceedings of the 2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI), 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
RiskSens: A Multi-view Learning Approach to Identifying Risky Traffic Locations in Intelligent Transportation Systems Using Social and Remote Sensing.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018