Hierarchical Semantic Labeling with Adaptive Confidence. - Jim Davis; Tong Liang; James Enouen; Roman Ilin (ISVC (2), 2019)

Hierarchical Classification with Confidence using Generalized Logits. - Jim Davis; Tong Liang; James Enouen; Roman Ilin (ICPR, 2020)

Interpretable Artificial Intelligence through the Lens of Feature Interaction. - Michael Tsang; James Enouen; Yan Liu 002 (CoRR, 2021)

Sparse Interaction Additive Networks via Feature Interaction Detection and Sparse Selection. - James Enouen; Yan Liu 002 (NeurIPS, 2022)

Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders. - Defu Cao; James Enouen; Yujing Wang; Xiangchen Song; Chuizheng Meng; Hao Niu 001; Yan Liu 002 (AAAI, 2023)

Estimating Treatment Effects in Continuous Time with Hidden Confounders. - Defu Cao; James Enouen; Yan Liu 002 (CoRR, 2023)

Measuring, Interpreting, and Improving Fairness of Algorithms using Causal Inference and Randomized Experiments. - James Enouen; Tianshu Sun; Yan Liu 002 (CoRR, 2023)

TextGenSHAP: Scalable Post-Hoc Explanations in Text Generation with Long Documents. - James Enouen; Hootan Nakhost; Sayna Ebrahimi; Sercan Ö. Arik; Yan Liu 002; Tomas Pfister (ACL (Findings), 2024)

Mixture of Projection Experts for Multivariate Long-Term Time Series Forecasting. - Hao Niu 001; Guillaume Habault; Defu Cao; Yizhou Zhang; Roberto Legaspi; Huy Quang Ung; James Enouen; Shinya Wada; Chihiro Ono; Atsunori Minamikawa; Yan Liu 002 (ICMLA, 2024)

Discovering Car-following Dynamics from Trajectory Data through Deep Learning. - Ohay Angah; James Enouen; Xuegang Ban; Yan Liu (CoRR, 2024)

A Complete Decomposition of KL Error using Refined Information and Mode Interaction Selection. - James Enouen; Mahito Sugiyama (CoRR, 2024)

InstaSHAP: Interpretable Additive Models Explain Shapley Values Instantly. - James Enouen; Yan Liu (ICLR, 2025)