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PEZy-miner: An artificial intelligence driven approach for the discovery of plastic-degrading enzyme candidates

Metabolic engineering communications, 2024-12, Vol.19, p.e00248, Article e00248

2024

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SAT-Geo: A social sensing based content-only approach to geolocating abnormal traffic events using syntax-based probabilistic learning

Information processing & management, 2022-03, Vol.59 (2), p.102807, Article 102807

2022

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On Coupling Classification and Super-Resolution in Remote Urban Sensing: An Integrated Deep Learning Approach

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-17

2022

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A crowd-AI dynamic neural network hyperparameter optimization approach for image-driven social sensing applications

Knowledge-based systems, 2023-10, Vol.278, p.110864, Article 110864

2023

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An active one-shot learning approach to recognizing land usage from class-wise sparse satellite imagery in smart urban sensing

Knowledge-based systems, 2022-08, Vol.249, p.108997, Article 108997

2022

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Integrating Social Explanations Into Explainable Artificial Intelligence (XAI) for Combating Misinformation: Vision and Challenges

IEEE transactions on computational social systems, 2024-10, Vol.11 (5), p.6705-6726

2024

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On streaming disaster damage assessment in social sensing: A crowd-driven dynamic neural architecture searching approach

Knowledge-based systems, 2022-03, Vol.239, p.107984, Article 107984

2022

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Towards reliable online clickbait video detection: A content-agnostic approach

Knowledge-based systems, 2019-10, Vol.182, p.104851, Article 104851

2019

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FauxWard: a graph neural network approach to fauxtography detection using social media comments

Social network analysis and mining, 2020-12, Vol.10 (1), p.76, Article 76

2020

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Unsupervised Domain Adaptation Via Contrastive Adversarial Domain Mixup: A Case Study on COVID-19

IEEE transactions on emerging topics in computing, 2024, p.1-12

2024

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Fairness-aware training of face attribute classifiers via adversarial robustness

Knowledge-based systems, 2023-03, Vol.264, p.110356, Article 110356

2023

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Machine Learning Based Prediction of Enzymatic Degradation of Plastics Using Encoded Protein Sequence and Effective Feature Representation

Environmental science & technology letters, 2023-07, Vol.10 (7), p.557-564

2023

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AOMD: An analogy-aware approach to offensive meme detection on social media

Information processing & management, 2021-09, Vol.58 (5), p.102664, Article 102664

2021

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CollabLearn: An Uncertainty-Aware Crowd-AI Collaboration System for Cultural Heritage Damage Assessment

IEEE transactions on computational social systems, 2022-10, Vol.9 (5), p.1515-1529

2022

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A Multi-Branch Decoder Network Approach to Adaptive Temporal Data Selection and Reconstruction for Big Scientific Simulation Data

IEEE transactions on big data, 2022-12, Vol.8 (6), p.1637-1649

2022

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CrowdNAS: A Crowd-guided Neural Architecture Searching Approach to Disaster Damage Assessment

Proceedings of the ACM on human-computer interaction, 2022-11, Vol.6 (CSCW2), p.1-29, Article 288

2022

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What and Why? Towards Duo Explainable Fauxtography Detection Under Constrained Supervision

IEEE transactions on big data, 2023-02, Vol.9 (1), p.133-146

2023

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FairCrowd: Fair Human Face Dataset Sampling via Batch-Level Crowdsourcing Bias Inference

2021 IEEE/ACM 29th International Symposium on Quality of Service (IWQOS), 2021, p.1-10

2021

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Mitigating Demographic Bias of Federated Learning Models via Robust-Fair Domain Smoothing: A Domain-Shifting Approach

2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS), 2024, p.785-796

2024

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CCMR: A Classic-enriched Connotation-aware Music Retrieval System on Social Media with Visual Inputs

Social network analysis and mining, 2021-12, Vol.11 (1), p.119, Article 119

2021

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A Crowd-driven Dynamic Neural Architecture Searching Approach to Quality-aware Streaming Disaster Damage Assessment

2021 IEEE/ACM 29th International Symposium on Quality of Service (IWQOS), 2021, p.1-6

2021

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HC-COVID: A Hierarchical Crowdsource Knowledge Graph Approach to Explainable COVID-19 Misinformation Detection

Proceedings of the ACM on human-computer interaction, 2022-01, Vol.6 (GROUP), p.1-25, Article 36

2022

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CrowdOptim: A Crowd-driven Neural Network Hyperparameter Optimization Approach to AI-based Smart Urban Sensing

Proceedings of the ACM on human-computer interaction, 2022-11, Vol.6 (CSCW2), p.1-27, Article 435

2022

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SEAD: Towards A Social-Media-Driven Energy-Aware Drone Sensing Framework

2019 IEEE 25th International Conference on Parallel and Distributed Systems (ICPADS), 2019, p.647-654

2019

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Solutions to Current Challenges in Widespread Monitoring of Groundwater Quality via Crowdsensing

Ground water, 2022-01, Vol.60 (1), p.15-24

2022

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PEZy-miner: An artificial intelligence driven approach for the discovery of plastic-degrading enzyme candidates

SAT-Geo: A social sensing based content-only approach to geolocating abnormal traffic events using syntax-based probabilistic learning

On Coupling Classification and Super-Resolution in Remote Urban Sensing: An Integrated Deep Learning Approach

A crowd-AI dynamic neural network hyperparameter optimization approach for image-driven social sensing applications

An active one-shot learning approach to recognizing land usage from class-wise sparse satellite imagery in smart urban sensing

Integrating Social Explanations Into Explainable Artificial Intelligence (XAI) for Combating Misinformation: Vision and Challenges

On streaming disaster damage assessment in social sensing: A crowd-driven dynamic neural architecture searching approach

Towards reliable online clickbait video detection: A content-agnostic approach

FauxWard: a graph neural network approach to fauxtography detection using social media comments

Unsupervised Domain Adaptation Via Contrastive Adversarial Domain Mixup: A Case Study on COVID-19

Fairness-aware training of face attribute classifiers via adversarial robustness

Machine Learning Based Prediction of Enzymatic Degradation of Plastics Using Encoded Protein Sequence and Effective Feature Representation

AOMD: An analogy-aware approach to offensive meme detection on social media

CollabLearn: An Uncertainty-Aware Crowd-AI Collaboration System for Cultural Heritage Damage Assessment

A Multi-Branch Decoder Network Approach to Adaptive Temporal Data Selection and Reconstruction for Big Scientific Simulation Data

CrowdNAS: A Crowd-guided Neural Architecture Searching Approach to Disaster Damage Assessment

What and Why? Towards Duo Explainable Fauxtography Detection Under Constrained Supervision

FairCrowd: Fair Human Face Dataset Sampling via Batch-Level Crowdsourcing Bias Inference

Mitigating Demographic Bias of Federated Learning Models via Robust-Fair Domain Smoothing: A Domain-Shifting Approach

CCMR: A Classic-enriched Connotation-aware Music Retrieval System on Social Media with Visual Inputs

A Crowd-driven Dynamic Neural Architecture Searching Approach to Quality-aware Streaming Disaster Damage Assessment

HC-COVID: A Hierarchical Crowdsource Knowledge Graph Approach to Explainable COVID-19 Misinformation Detection

CrowdOptim: A Crowd-driven Neural Network Hyperparameter Optimization Approach to AI-based Smart Urban Sensing

SEAD: Towards A Social-Media-Driven Energy-Aware Drone Sensing Framework

Solutions to Current Challenges in Widespread Monitoring of Groundwater Quality via Crowdsensing

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