Zhu, Shixiang

15 publications

AAAI 2025 Black-Box Optimization with Implicit Constraints for Public Policy Wenqian Xing, Jungho Lee, Chong Liu, Shixiang Zhu

AISTATS 2025 New User Event Prediction Through the Lens of Causal Inference Henry Yuchi, Shixiang Zhu, Li Dong, Yigit M. Arisoy, Matthew C. Spencer

AISTATS 2025 Recurrent Neural Goodness-of-Fit Test for Time Series Aoran Zhang, Wenbin Zhou, Liyan Xie, Shixiang Zhu

TMLR 2025 TimeAutoDiff: A Unified Framework for Generation, Imputation, Forecasting, and Time-Varying Metadata Conditioning of Heterogeneous Time Series Tabular Data Namjoon Suh, Yuning Yang, Din-Yin Hsieh, Qitong Luan, Shirong Xu, Shixiang Zhu, Guang Cheng

NeurIPS 2025 Topology-Aware Conformal Prediction for Stream Networks Jifan Zhang, Fangxin Wang, Zihe Song, Philip S. Yu, Kaize Ding, Shixiang Zhu

NeurIPSW 2023 Conditional Generative Modeling for High-Dimensional Marked Temporal Point Processes Zheng Dong, Zekai Fan, Shixiang Zhu

NeurIPSW 2023 Counterfactual Generative Models for Time-Varying Treatments Shenghao Wu, Wenbin Zhou, Minshuo Chen, Shixiang Zhu

NeurIPSW 2023 Counterfactual Generative Models for Time-Varying Treatments Shenghao Wu, Wenbin Zhou, Minshuo Chen, Shixiang Zhu

NeurIPSW 2023 Uncertainty-Aware Robust Learning on Noisy Graphs Shuyi Chen, Kaize Ding, Shixiang Zhu

NeurIPSW 2023 Unfairness Detection Within Power Systems Through Transfer Counterfactual Learning Song Wei, Xiangrui Kong, Sarah Ann Huestis-Mitchell, Yao Xie, Shixiang Zhu, Alinson Santos Xavier, Feng Qiu

NeurIPS 2022 Distributionally Robust Weighted K-Nearest Neighbors Shixiang Zhu, Liyan Xie, Minghe Zhang, Rui Gao, Yao Xie

ICLR 2022 Neural Spectral Marked Point Processes Shixiang Zhu, Haoyun Wang, Zheng Dong, Xiuyuan Cheng, Yao Xie

AISTATS 2021 Deep Fourier Kernel for Self-Attentive Point Processes Shixiang Zhu, Minghe Zhang, Ruyi Ding, Yao Xie

AISTATS 2021 Goodness-of-Fit Test for Mismatched Self-Exciting Processes Song Wei, Shixiang Zhu, Minghe Zhang, Yao Xie

NeurIPS 2018 Learning Temporal Point Processes via Reinforcement Learning Shuang Li, Shuai Xiao, Shixiang Zhu, Nan Du, Yao Xie, Le Song