Probabilistic Querying of Continuous-Time Event Sequences. - Alex Boyd; Yuxin Chang; Stephan Mandt; Padhraic Smyth (AISTATS, 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 (MLHC, 2023)

Inference for mark-censored temporal point processes. - Alex Boyd; Yuxin Chang; Stephan Mandt; Padhraic Smyth (UAI, 2023)

Probabilistic Modeling for Sequences of Sets in Continuous-Time. - Yuxin Chang; Alex J. Boyd; Padhraic Smyth (AISTATS, 2024)

Neural Network Algorithm for Solving Nonlinear Equation Systems. - Yuxin Chang; Xinming Zhang (ICSI, 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)

Deep Linear Hawkes Processes. - Yuxin Chang; Alex Boyd; Cao Xiao; Taha A. Kass-Hout; Parminder Bhatia; Padhraic Smyth; Andrew Warrington (CoRR, 2024)

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)