Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Evidence-Driven Retrieval Augmented Response Generation for Online Misinformation.

[BibT_eX]

[DOI]

Zhenrui Yue

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

A Domain Adaptive Graph Learning Framework to Early Detection of Emergent Healthcare Misinformation on Social Media.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

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

[BibT_eX]

[DOI]

Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

Tripartite Intelligence: Synergizing Deep Neural Network, Large Language Model, and Human Intelligence for Public Health Misinformation Detection (Archival Full Paper).

[BibT_eX]

[DOI]

Proceedings of the ACM Collective Intelligence Conference, 2024

Fair Federated Learning with Biased Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Retrieval Augmented Fact Verification by Synthesizing Contrastive Arguments.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Fairness-aware training of face attribute classifiers via adversarial robustness.

[BibT_eX]

[DOI]

Knowl. Based Syst., March, 2023

CollabEquality: A Crowd-AI Collaborative Learning Framework to Address Class-wise Inequality in Web-based Disaster Response.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

A Crowdsourced Learning Framework to Optimize Cross-Event QoS in AI-powered Social Sensing.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

On Adversarial Robustness of Demographic Fairness in Face Attribute Recognition.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

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

[BibT_eX]

[DOI]

Proc. ACM Hum. Comput. Interact., 2022

Defending Substitution-Based Profile Pollution Attacks on Sequential Recommenders.

[BibT_eX]

[DOI]

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

On Attacking Out-Domain Uncertainty Estimation in Deep Neural Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Efficient Localness Transformer for Smart Sensor-Based Energy Disaggregation.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Distributed Computing in Sensor Systems, 2022

Domain Adaptation for Question Answering via Question Classification.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Contrastive Domain Adaptation for Early Misinformation Detection: A Case Study on COVID-19.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Boosting Demographic Fairness of Face Attribute Classifiers via Latent Adversarial Representations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

Unsupervised Domain Adaptation for COVID-19 Information Service with Contrastive Adversarial Domain Mixup.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

2021

Certified Defense via Latent Space Randomized Smoothing with Orthogonal Encoders.

[BibT_eX]

[DOI]

Huimin Zeng

Jiahao Su

Furong Huang

CoRR, 2021

Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction.

[BibT_eX]

[DOI]

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

ExgFair: A Crowdsourcing Data Exchange Approach To Fair Human Face Datasets Augmentation.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Huimin Zeng

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