Xin Dai

According to our database, Xin Dai authored at least 20 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Empowering Time Series Forecasting with LLM-Agents.

Chin-Chia Michael Yeh, Vivian Lai, Uday Singh Saini, Xiran Fan, Yujie Fan, Junpeng Wang, Xin Dai, Yan Zheng

CoRR, August, 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, Huiyuan Chen, Zhongfang Zhuang, Yan Zheng, Girish Chowdhary

CoRR, March, 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, Zhongfang Zhuang, Liang Wang, Yan Zheng

CoRR, February, 2025

2024

Preserving Individuality while Following the Crowd: Understanding the Role of User Taste and Crowd Wisdom in Online Product Rating Prediction.

Liang Wang, Shubham Jain, Yingtong Dou, Junpeng Wang, Chin-Chia Michael Yeh, Yujie Fan, Prince Osei Aboagye, Yan Zheng, Xin Dai, Zhongfang Zhuang, Uday Singh Saini, Wei Zhang

CoRR, 2024

Random Projection Layers for Multidimensional Time Series Forecasting.

Chin-Chia Michael Yeh, Yujie Fan, Xin Dai, Vivian Lai, Prince Osei Aboagye, Junpeng Wang, Huiyuan Chen, Yan Zheng, Zhongfang Zhuang, Liang Wang, Wei Zhang

CoRR, 2024

Has Your Pretrained Model Improved? A Multi-head Posterior Based Approach.

Prince Osei Aboagye, Yan Zheng, Junpeng Wang, Uday Singh Saini, Xin Dai, Chin-Chia Michael Yeh, Yujie Fan, Zhongfang Zhuang, Shubham Jain, Liang Wang, Wei Zhang

CoRR, 2024

PromptLandscape: Guiding Prompts Exploration and Analysis with Visualization.

Junpeng Wang, Chin-Chia Michael Yeh, Yujie Fan, Xin Dai, Yan Zheng, Liang Wang, Wei Zhang

Proceedings of the 17th IEEE Pacific Visualization Conference, 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, Huiyuan Chen, Yan Zheng, Zhongfang Zhuang, Liang Wang, Wei Zhang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Matrix Profile for Anomaly Detection on Multidimensional Time Series.

Chin-Chia Michael Yeh, Audrey Der, Uday Singh Saini, Vivian Lai, Yan Zheng, Junpeng Wang, Xin Dai, Zhongfang Zhuang, Yujie Fan, Huiyuan Chen, Prince Osei Aboagye, Liang Wang, Wei Zhang, Eamonn J. Keogh

Proceedings of the IEEE International Conference on Data Mining, 2024

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, Yujie Fan, Zhongfang Zhuang, Vivian Lai, Junpeng Wang, Liang Wang, Wei Zhang, Eamonn J. Keogh

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

How Does Attention Work in Vision Transformers? A Visual Analytics Attempt.

Yiran Li, Junpeng Wang, Xin Dai, Liang Wang, Chin-Chia Michael Yeh, Yan Zheng, Wei Zhang, Kwan-Liu Ma

IEEE Trans. Vis. Comput. Graph., June, 2023

PDT: Pretrained Dual Transformers for Time-aware Bipartite Graphs.

Xin Dai, Yujie Fan, Zhongfang Zhuang, Shubham Jain, Chin-Chia Michael Yeh, Junpeng Wang, Liang Wang, Yan Zheng, Wei Zhang

CoRR, 2023

Spatial-Temporal Graph Sandwich Transformer for Traffic Flow Forecasting.

Yujie Fan, Chin-Chia Michael Yeh, Huiyuan Chen, Liang Wang, Zhongfang Zhuang, Junpeng Wang, Xin Dai, Yan Zheng, Wei Zhang

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Multitask Learning for Time Series Data with 2D Convolution.

Chin-Chia Michael Yeh, Xin Dai, Yan Zheng, Junpeng Wang, Huiyuan Chen, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang

Proceedings of the International Conference on Machine Learning and Applications, 2023

FATA-Trans: Field And Time-Aware Transformer for Sequential Tabular Data.

Dongyu Zhang, Liang Wang, Xin Dai, Shubham Jain, Junpeng Wang, Yujie Fan, Chin-Chia Michael Yeh, Yan Zheng, Zhongfang Zhuang, Wei Zhang

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

Toward a Foundation Model for Time Series Data.

Chin-Chia Michael Yeh, Xin Dai, Huiyuan Chen, Yan Zheng, Yujie Fan, Audrey Der, Vivian Lai, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang

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

An Efficient Content-based Time Series Retrieval System.

Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Junpeng Wang, Vivian Lai, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang, Jeff M. Phillips

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

Spatial-Temporal Graph Boosting Networks: Enhancing Spatial-Temporal Graph Neural Networks via Gradient Boosting.

Yujie Fan, Chin-Chia Michael Yeh, Huiyuan Chen, Yan Zheng, Liang Wang, Junpeng Wang, Xin Dai, Zhongfang Zhuang, Wei Zhang

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

Ego-Network Transformer for Subsequence Classification in Time Series Data.

Chin-Chia Michael Yeh, Huiyuan Chen, Yujie Fan, Xin Dai, Yan Zheng, Vivian Lai, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh

Proceedings of the IEEE International Conference on Big Data, 2023

Temporal Treasure Hunt: Content-based Time Series Retrieval System for Discovering Insights.

Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Yujie Fan, Vivian Lai, Junpeng Wang, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang

Proceedings of the IEEE International Conference on Big Data, 2023