Vivian Lai

Orcid: 0000-0003-3165-6136

According to our database1, Vivian Lai authored at least 34 papers between 2015 and 2024.

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Bibliography

2024
Human-aligned Chess with a Bit of Search.
CoRR, 2024

Matrix Profile for Anomaly Detection on Multidimensional Time Series.
CoRR, 2024

OpenHEXAI: An Open-Source Framework for Human-Centered Evaluation of Explainable Machine Learning.
CoRR, 2024

Random Projection Layers for Multidimensional Time Series Forecasting.
CoRR, 2024

Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Masked Graph Transformer for Large-Scale Recommendation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Selective Explanations: Leveraging Human Input to Align Explainable AI.
Proc. ACM Hum. Comput. Interact., 2023

Evaluating NLG Evaluation Metrics: A Measurement Theory Perspective.
CoRR, 2023

Sharpness-Aware Graph Collaborative Filtering.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Enhancing Transformers without Self-supervised Learning: A Loss Landscape Perspective in Sequential Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Adversarial Collaborative Filtering for Free.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Towards a Science of Human-AI Decision Making: An Overview of Design Space in Empirical Human-Subject Studies.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Evaluating Evaluation Metrics: A Framework for Analyzing NLG Evaluation Metrics using Measurement Theory.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Toward a Foundation Model for Time Series Data.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

An Efficient Content-based Time Series Retrieval System.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Ego-Network Transformer for Subsequence Classification in Time Series Data.
Proceedings of the IEEE International Conference on Big Data, 2023

Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
An Exploration of Post-Editing Effectiveness in Text Summarization.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021
Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making.
Proc. ACM Hum. Comput. Interact., 2021

Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies.
CoRR, 2021

Using Transformers to Provide Teachers with Personalized Feedback on their Classroom Discourse: The TalkMoves Application.
CoRR, 2021

Using AI to Promote Equitable Classroom Discussions: The TalkMoves Application.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2020
Harnessing Explanations to Bridge AI and Humans.
CoRR, 2020

"Why is 'Chicago' deceptive?" Towards Building Model-Driven Tutorials for Humans.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019
Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification.
CoRR, 2019

On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection.
Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2017
Assessing the Language of Chat for Teamwork Dialogue.
J. Educ. Technol. Soc., 2017

2016
Analysis of teamwork dialogue: A data mining approach.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

CareerMapper: An automated resume evaluation tool.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Analysis of star ratings in consumer reviews: A case study of Yelp.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015


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