Jiang, Renhe

22 publications

ICML 2025 BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling Hao Li, Yu-Hao Huang, Chang Xu, Viktor Schlegel, Renhe Jiang, Riza Batista-Navarro, Goran Nenadic, Jiang Bian

NeurIPS 2025 Continuous Domain Generalization Zekun Cai, Yiheng Yao, Guangji Bai, Renhe Jiang, Xuan Song, Ryosuke Shibasaki, Liang Zhao

IJCAI 2025 Disentangled and Personalized Representation Learning for Next Point-of-Interest Recommendation Xuan Rao, Shuo Shang, Lisi Chen, Renhe Jiang, Peng Han

NeurIPS 2025 DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs Dongyuan Li, Shiyin Tan, Ying Zhang, Ming Jin, Shirui Pan, Manabu Okumura, Renhe Jiang

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

ICLR 2025 Towards Neural Scaling Laws for Time Series Foundation Models Qingren Yao, Chao-Han Huck Yang, Renhe Jiang, Yuxuan Liang, Ming Jin, Shirui Pan

ICML 2024 Community-Invariant Graph Contrastive Learning Shiyin Tan, Dongyuan Li, Renhe Jiang, Ying Zhang, Manabu Okumura

NeurIPS 2024 Continuous Temporal Domain Generalization Zekun Cai, Guangji Bai, Renhe Jiang, Xuan Song, Liang Zhao

NeurIPS 2024 Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation Jiawei Wang, Renhe Jiang, Chuang Yang, Zengqing Wu, Makoto Onizuka, Ryosuke Shibasaki, Noboru Koshizuka, Chuan Xiao

IJCAI 2024 Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning Jiewen Deng, Renhe Jiang, Jiaqi Zhang, Xuan Song

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

NeurIPS 2024 Taming the Long Tail in Human Mobility Prediction Xiaohang Xu, Renhe Jiang, Chuang Yang, Zipei Fan, Kaoru Sezaki

AAAI 2023 Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout Hongjun Wang, Jiyuan Chen, Tong Pan, Zipei Fan, Xuan Song, Renhe Jiang, Lingyu Zhang, Yi Xie, Zhongyi Wang, Boyuan Zhang

IJCAI 2023 Learning Gaussian Mixture Representations for Tensor Time Series Forecasting Jiewen Deng, Jinliang Deng, Renhe Jiang, Xuan Song

ECML-PKDD 2023 Sequence-Graph Fusion Neural Network for User Mobile App Behavior Prediction Yizhuo Wang, Renhe Jiang, Hangchen Liu, Du Yin, Xuan Song

AAAI 2023 Spatio-Temporal Meta-Graph Learning for Traffic Forecasting Renhe Jiang, Zhaonan Wang, Jiawei Yong, Puneet Jeph, Quanjun Chen, Yasumasa Kobayashi, Xuan Song, Shintaro Fukushima, Toyotaro Suzumura

AAAI 2022 Event-Aware Multimodal Mobility Nowcasting Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki

ECML-PKDD 2022 MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks Qi Cao, Renhe Jiang, Chuang Yang, Zipei Fan, Xuan Song, Ryosuke Shibasaki

ECML-PKDD 2021 Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19 Renhe Jiang, Zhaonan Wang, Zekun Cai, Chuang Yang, Zipei Fan, Tianqi Xia, Go Matsubara, Hiroto Mizuseki, Xuan Song, Ryosuke Shibasaki

AAAI 2021 Social-DPF: Socially Acceptable Distribution Prediction of Futures Xiaodan Shi, Xiaowei Shao, Guangming Wu, Haoran Zhang, Zhiling Guo, Renhe Jiang, Ryosuke Shibasaki

AAAI 2020 Multimodal Interaction-Aware Trajectory Prediction in Crowded Space Xiaodan Shi, Xiaowei Shao, Zipei Fan, Renhe Jiang, Haoran Zhang, Zhiling Guo, Guangming Wu, Wei Yuan, Ryosuke Shibasaki

AAAI 2018 DeepUrbanMomentum: An Online Deep-Learning System for Short-Term Urban Mobility Prediction Renhe Jiang, Xuan Song, Zipei Fan, Tianqi Xia, Quanjun Chen, Satoshi Miyazawa, Ryosuke Shibasaki