Shou, Xiao

7 publications

AAAI 2025 Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation Yanna Ding, Zijie Huang, Xiao Shou, Yihang Guo, Yizhou Sun, Jianxi Gao

AAAI 2023 Concurrent Multi-Label Prediction in Event Streams Xiao Shou, Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Kristin P. Bennett

CLeaR 2023 Influence-Aware Attention for Multivariate Temporal Point Processes Xiao Shou, Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Kristin Bennett

NeurIPS 2023 Pairwise Causality Guided Transformers for Event Sequences Xiao Shou, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Oktie Hassanzadeh, Kristin P Bennett

ICML 2023 Probabilistic Attention-to-Influence Neural Models for Event Sequences Xiao Shou, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Oktie Hassanzadeh, Kristin Bennett

AAAI 2023 Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Xiao Shou

NeurIPS 2021 Causal Inference for Event Pairs in Multivariate Point Processes Tian Gao, Dharmashankar Subramanian, Debarun Bhattacharjya, Xiao Shou, Nicholas Mattei, Kristin P Bennett