Ziwei Zhu

Orcid: 0000-0002-3990-4774

Affiliations:
  • George Mason University, Fairfax, VA, USA
  • Texas A&M University, College Station, TX, USA (PhD)


According to our database1, Ziwei Zhu authored at least 39 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
SALSA: Salience-Based Switching Attack for Adversarial Perturbations in Fake News Detection Models.
Proceedings of the Advances in Information Retrieval, 2024

Countering Mainstream Bias via End-to-End Adaptive Local Learning.
Proceedings of the Advances in Information Retrieval, 2024

Federated Conversational Recommender Systems.
Proceedings of the Advances in Information Retrieval, 2024

2023
Co$^2$PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning.
CoRR, 2023

Enhancing User Personalization in Conversational Recommenders.
Proceedings of the ACM Web Conference 2023, 2023

Demo: EMSAssist - An End-to-End Mobile Voice Assistant at the Edge for Emergency Medical Services.
Proceedings of the 21st Annual International Conference on Mobile Systems, 2023

EMSAssist: An End-to-End Mobile Voice Assistant at the Edge for Emergency Medical Services.
Proceedings of the 21st Annual International Conference on Mobile Systems, 2023

Unsupervised Candidate Answer Extraction through Differentiable Masker-Reconstructor Model.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Global Voices, Local Biases: Socio-Cultural Prejudices across Languages.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Co²PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Evolution of Filter Bubbles and Polarization in News Recommendation.
Proceedings of the Advances in Information Retrieval, 2023

A Generalized Propensity Learning Framework for Unbiased Post-Click Conversion Rate Estimation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

True and Fair: Robust and Unbiased Fake News Detection via Interpretable Machine Learning.
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Towards Fair Conversational Recommender Systems.
CoRR, 2022

Evolution of Popularity Bias: Empirical Study and Debiasing.
CoRR, 2022

End-to-End Learning for Fair Ranking Systems.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Fighting Mainstream Bias in Recommender Systems via Local Fine Tuning.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Fairness-aware Personalized Ranking Recommendation via Adversarial Learning.
CoRR, 2021

Rabbit Holes and Taste Distortion: Distribution-Aware Recommendation with Evolving Interests.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Popularity-Opportunity Bias in Collaborative Filtering.
Proceedings of the WSDM '21, 2021

Fairness among New Items in Cold Start Recommender Systems.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Session-based Recommendation with Hypergraph Attention Networks.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Popularity Bias in Dynamic Recommendation.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Addressing the Target Customer Distortion Problem in Recommender Systems.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Improving the Estimation of Tail Ratings in Recommender System with Multi-Latent Representations.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

User Recommendation in Content Curation Platforms.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Key Opinion Leaders in Recommendation Systems: Opinion Elicitation and Diffusion.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Measuring and Mitigating Item Under-Recommendation Bias in Personalized Ranking Systems.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Unbiased Implicit Recommendation and Propensity Estimation via Combinational Joint Learning.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Content-Collaborative Disentanglement Representation Learning for Enhanced Recommendation.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Improving Top-K Recommendation via JointCollaborative Autoencoders.
Proceedings of the World Wide Web Conference, 2019

2018
Fairness-Aware Recommendation of Information Curators.
CoRR, 2018

Pseudo-Implicit Feedback for Alleviating Data Sparsity in Top-K Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2018

Fairness-Aware Tensor-Based Recommendation.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Modeling and detecting student attention and interest level using wearable computers.
Proceedings of the 14th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2017


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