Yuxin Chang

According to our database, Yuxin Chang authored at least 13 papers between 2023 and 2026.

Collaborative distances:

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

2026

Amazon Product and Google Locations Reviews.

Coen Adler, Yuxin Chang, Felix Draxler, Samar Abdi, Padhraic Smyth

Dataset, February, 2026

KeyGeoFusion: A multi-modal keypoint and geometry-aware framework for small and distant 3D object detection in sparse point clouds.

Cheng Ju, Yuansha Xie, Juan Duan, Yuxin Chang, Mengdie Wu

Neurocomputing, 2026

STGFormer: A pyramidal spatio-temporal graph transformer with cross-disciplinary feature fusion for semantic-rich trajectory prediction in heterogeneous autonomy traffic.

Cheng Ju, Yuansha Xie, Zhongrong Wang, Yu Zhao, Wenyao Yan, Rongjun Chai, Juan Duan, Yali Cao, Yuxin Chang

Expert Syst. Appl., 2026

2025

Beyond Accuracy: Are Time Series Foundation Models Well-Calibrated?

Coen Adler, Yuxin Chang, Felix Draxler, Samar Abdi, Padhraic Smyth

CoRR, October, 2025

LS-YOLO: A Lightweight, Real-Time YOLO-Based Target Detection Algorithm for Autonomous Driving Under Adverse Environmental Conditions.

Cheng Ju, Yuxin Chang, Yuansha Xie, Dina Li

IEEE Access, 2025

Deep Continuous-Time State-Space Models for Marked Event Sequences.

Yuxin Chang, Alex Boyd, Cao (Danica) Xiao, Taha A. Kass-Hout, Parminder Bhatia, Padhraic Smyth, Andrew Warrington

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Deep Linear Hawkes Processes.

Yuxin Chang, Alex Boyd, Cao Xiao, Taha A. Kass-Hout, Parminder Bhatia, Padhraic Smyth, Andrew Warrington

CoRR, 2024

Adaptive Catalyst Discovery Using Multicriteria Bayesian Optimization with Representation Learning.

Jie Chen, Pengfei Ou, Yuxin Chang, Hengrui Zhang, Xiao-Yan Li, Edward H. Sargent, Wei Chen

CoRR, 2024

Neural Network Algorithm for Solving Nonlinear Equation Systems.

Yuxin Chang, Xinming Zhang

Proceedings of the Advances in Swarm Intelligence, 2024

Probabilistic Modeling for Sequences of Sets in Continuous-Time.

Yuxin Chang, Alex J. Boyd, Padhraic Smyth

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Inference for mark-censored temporal point processes.

Alex Boyd, Yuxin Chang, Stephan Mandt, Padhraic Smyth

Proceedings of the Uncertainty in Artificial Intelligence, 2023

When More is Less: Incorporating Additional Datasets Can Hurt Performance By Introducing Spurious Correlations.

Hyungrok Do, Yuxin Chang, Yoon-Sang Cho, Padhraic Smyth, Judy Zhong

Proceedings of the Machine Learning for Healthcare Conference, 2023

Probabilistic Querying of Continuous-Time Event Sequences.

Alex Boyd, Yuxin Chang, Stephan Mandt, Padhraic Smyth

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023