Analysis of star ratings in consumer reviews: A case study of Yelp. - Maruthi Prithivirajan; Vivian Lai; Kyong Jin Shim; Koo Ping Shung (IEEE BigData, 2015)

CareerMapper: An automated resume evaluation tool. - Vivian Lai; Kyong Jin Shim; Richard Jayadi Oentaryo; Philips Kokoh Prasetyo; Casey Vu; Ee-Peng Lim; David Lo 001 (IEEE BigData, 2016)

Analysis of teamwork dialogue: A data mining approach. - Antonette Shibani; Elizabeth Koh 001; Vivian Lai; Kyong Jin Shim (IEEE BigData, 2016)

Assessing the Language of Chat for Teamwork Dialogue. - Antonette Shibani; Elizabeth Koh 001; Vivian Lai; Kyong Jin Shim (J. Educ. Technol. Soc., 2017)

Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification. - Vivian Lai; Zheng Cai; Chenhao Tan (EMNLP/IJCNLP (1), 2019)

On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection. - Vivian Lai; Chenhao Tan (FAT, 2019)

Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification. - Vivian Lai; Jon Z. Cai; Chenhao Tan (CoRR, 2019)

"Why is 'Chicago' deceptive?" Towards Building Model-Driven Tutorials for Humans. - Vivian Lai; Han Liu; Chenhao Tan (CHI, 2020)

Harnessing Explanations to Bridge AI and Humans. - Vivian Lai; Samuel Carton; Chenhao Tan (CoRR, 2020)

Using AI to Promote Equitable Classroom Discussions: The TalkMoves Application. - Abhijit Suresh; Jennifer Jacobs 002; Charis Clevenger; Vivian Lai; Chenhao Tan; James H. Martin; Tamara Sumner (AIED (2), 2021)

Using Transformers to Provide Teachers with Personalized Feedback on their Classroom Discourse: The TalkMoves Application. - Abhijit Suresh; Jennifer Jacobs 002; Vivian Lai; Chenhao Tan; Wayne H. Ward; James H. Martin; Tamara Sumner (CoRR, 2021)

Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies. - Vivian Lai; Chacha Chen; Q. Vera Liao; Alison Smith-Renner; Chenhao Tan (CoRR, 2021)

Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making. - Han Liu; Vivian Lai; Chenhao Tan (Proc. ACM Hum. Comput. Interact., 2021)

Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation. - Vivian Lai; Samuel Carton; Rajat Bhatnagar; Q. Vera Liao; Yunfeng Zhang; Chenhao Tan (CHI, 2022)

An Exploration of Post-Editing Effectiveness in Text Summarization. - Vivian Lai; Alison Smith-Renner; Ke Zhang 013; Ruijia Cheng; Wenjuan Zhang; Joel R. Tetreault; Alejandro Jaimes-Larrarte (NAACL-HLT, 2022)

Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights. - Chin-Chia Michael Yeh; Huiyuan Chen; Xin Dai; Yan Zheng 001; Yujie Fan; Vivian Lai; Junpeng Wang 001; Audrey Der; Zhongfang Zhuang; Liang Wang 047; Wei Zhang 189 (IEEE Big Data, 2023)

Ego-Network Transformer for Subsequence Classification in Time Series Data. - Chin-Chia Michael Yeh; Huiyuan Chen; Yujie Fan; Xin Dai; Yan Zheng 001; Vivian Lai; Junpeng Wang 001; Zhongfang Zhuang; Liang Wang 047; Wei Zhang 189; Eamonn J. Keogh (IEEE Big Data, 2023)

An Efficient Content-based Time Series Retrieval System. - Chin-Chia Michael Yeh; Huiyuan Chen; Xin Dai; Yan Zheng 001; Junpeng Wang 001; Vivian Lai; Yujie Fan; Audrey Der; Zhongfang Zhuang; Liang Wang 047; Wei Zhang 189; Jeff M. Phillips (CIKM, 2023)

Toward a Foundation Model for Time Series Data. - Chin-Chia Michael Yeh; Xin Dai; Huiyuan Chen; Yan Zheng 001; Yujie Fan; Audrey Der; Vivian Lai; Zhongfang Zhuang; Junpeng Wang 001; Liang Wang 047; Wei Zhang 189 (CIKM, 2023)

Evaluating Evaluation Metrics: A Framework for Analyzing NLG Evaluation Metrics using Measurement Theory. - Ziang Xiao; Susu Zhang; Vivian Lai; Q. Vera Liao (EMNLP, 2023)

Towards a Science of Human-AI Decision Making: An Overview of Design Space in Empirical Human-Subject Studies. - Vivian Lai; Chacha Chen; Alison Smith-Renner; Q. Vera Liao; Chenhao Tan (FAccT, 2023)

Adversarial Collaborative Filtering for Free. - Huiyuan Chen; Xiaoting Li 001; Vivian Lai; Chin-Chia Michael Yeh; Yujie Fan; Yan Zheng 001; Mahashweta Das; Hao Yang 007 (RecSys, 2023)

Enhancing Transformers without Self-supervised Learning: A Loss Landscape Perspective in Sequential Recommendation. - Vivian Lai; Huiyuan Chen; Chin-Chia Michael Yeh; Minghua Xu 003; Yiwei Cai; Hao Yang 007 (RecSys, 2023)

Sharpness-Aware Graph Collaborative Filtering. - Huiyuan Chen; Chin-Chia Michael Yeh; Yujie Fan; Yan Zheng 001; Junpeng Wang 001; Vivian Lai; Mahashweta Das; Hao Yang 007 (SIGIR, 2023)

Evaluating NLG Evaluation Metrics: A Measurement Theory Perspective. - Ziang Xiao; Susu Zhang; Vivian Lai; Q. Vera Liao (CoRR, 2023)

Selective Explanations: Leveraging Human Input to Align Explainable AI. - Vivian Lai; Yiming Zhang 022; Chacha Chen; Q. Vera Liao; Chenhao Tan (Proc. ACM Hum. Comput. Interact., 2023)

A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining. - Audrey Der; Chin-Chia Michael Yeh; Xin Dai; Huiyuan Chen; Yan Zheng 001; Yujie Fan; Zhongfang Zhuang; Vivian Lai; Junpeng Wang 001; Liang Wang 047; Wei Zhang 189; Eamonn J. Keogh (CIKM, 2024)

Matrix Profile for Anomaly Detection on Multidimensional Time Series. - Chin-Chia Michael Yeh; Audrey Der; Uday Singh Saini; Vivian Lai; Yan Zheng 001; Junpeng Wang 001; Xin Dai; Zhongfang Zhuang; Yujie Fan; Huiyuan Chen; Prince Osei Aboagye; Liang Wang 047; et al. (ICDM, 2024)

RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data. - Chin-Chia Michael Yeh; Yujie Fan; Xin Dai; Uday Singh Saini; Vivian Lai; Prince Osei Aboagye; Junpeng Wang 001; Huiyuan Chen; Yan Zheng 001; Zhongfang Zhuang; Liang Wang 047; Wei Zhang 189 (KDD, 2024)

Masked Graph Transformer for Large-Scale Recommendation. - Huiyuan Chen; Zhe Xu 007; Chin-Chia Michael Yeh; Vivian Lai; Yan Zheng 001; Minghua Xu 003; Hanghang Tong (SIGIR, 2024)

Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering. - Huiyuan Chen; Vivian Lai; Hongye Jin; Zhimeng Jiang; Mahashweta Das; Xia Hu 001 (WSDM, 2024)

Random Projection Layers for Multidimensional Time Series Forecasting. - Chin-Chia Michael Yeh; Yujie Fan; Xin Dai; Vivian Lai; Prince Osei Aboagye; Junpeng Wang 001; Huiyuan Chen; Yan Zheng 001; Zhongfang Zhuang; Liang Wang 047; Wei Zhang 189 (CoRR, 2024)

OpenHEXAI: An Open-Source Framework for Human-Centered Evaluation of Explainable Machine Learning. - Jiaqi Ma 004; Vivian Lai; Yiming Zhang 022; Chacha Chen; Paul Hamilton; Davor Ljubenkov; Himabindu Lakkaraju; Chenhao Tan (CoRR, 2024)

Human-Aligned Chess With a Bit of Search. - Yiming Zhang 022; Athul Paul Jacob; Vivian Lai; Daniel Fried; Daphne Ippolito (ICLR, 2025)

A Compact Model for Large-Scale Time Series Forecasting. - Chin-Chia Michael Yeh; Xiran Fan; Zhimeng Jiang; Yujie Fan; Huiyuan Chen; Uday Singh Saini; Vivian Lai; Xin Dai; Junpeng Wang 001; Zhongfang Zhuang; Liang Wang 047; Yan Zheng 001 (CoRR, 2025)

Towards Efficient Large Scale Spatial-Temporal Time Series Forecasting via Improved Inverted Transformers. - Jiarui Sun; Chin-Chia Michael Yeh; Yujie Fan; Xin Dai; Xiran Fan; Zhimeng Jiang; Uday Singh Saini; Vivian Lai; Junpeng Wang 001; Huiyuan Chen; Zhongfang Zhuang; Yan Zheng 001; et al. (CoRR, 2025)