Dong, Zheng

11 publications

NeurIPS 2025 How Different from the past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning Haotian Gao, Zheng Dong, Jiawei Yong, Shintaro Fukushima, Kenjiro Taura, Renhe Jiang

AAAI 2024 NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching Hongbo Zhang, Guang Wang, Xu Wang, Zhengyang Zhou, Chen Zhang, Zheng Dong, Yang Wang

IJCAI 2024 Spatial-Temporal-Decoupled Masked Pre-Training for Spatiotemporal Forecasting Haotian Gao, Renhe Jiang, Zheng Dong, Jinliang Deng, Yuxin Ma, Xuan Song

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

NeurIPSW 2023 Deep Graph Kernel Point Processes Zheng Dong, Matthew Repasky, Xiuyuan Cheng, Yao Xie

ICLR 2023 Spatio-Temporal Point Processes with Deep Non-Stationary Kernels Zheng Dong, Xiuyuan Cheng, Yao Xie

ECML-PKDD 2022 Coupling User Preference with External Rewards to Enable Driver-Centered and Resource-Aware EV Charging Recommendation Chengyin Li, Zheng Dong, Nathan Fisher, Dongxiao Zhu

NeurIPS 2022 Geometry-Aware Two-Scale PIFu Representation for Human Reconstruction Zheng Dong, Ke Xu, Ziheng Duan, Hujun Bao, Weiwei Xu, Rynson Lau

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

ICCV 2021 Location-Aware Single Image Reflection Removal Zheng Dong, Ke Xu, Yin Yang, Hujun Bao, Weiwei Xu, Rynson W.H. Lau

NeurIPS 2021 Topic Modeling Revisited: A Document Graph-Based Neural Network Perspective Dazhong Shen, Chuan Qin, Chao Wang, Zheng Dong, Hengshu Zhu, Hui Xiong