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2026 · ACL
Deep Research with Open-Domain Evaluation and Multi-Stage Guardrails for SafetyWei-Chieh Huang, Henry Peng Zou, Yaozu Wu, Dongyuan Li [東京科学大学] [東京大学], Yankai Chen, Weizhi Zhang, Yangning Li, Angelo Zangari, Jizhou Guo, Chunyu Miao, Liancheng Fang, Langzhou He, Yinghui Li, Renhe Jiang, Philip S. Yu
Natural Language Processing
東京科学大学 / 東京大学
2026 · ACL
See2Refine: Vision-Language Feedback Improves LLM-Based eHMI Action DesignersDing Xia, Xinyue Gui, Mark Colley, Fan Gao, Zhongyi Zhou, Dongyuan Li [東京科学大学] [東京大学], Renhe Jiang, Takeo Igarashi
Natural Language Processing
東京科学大学 / 東京大学
2026 · ICLR
ELLMob: Event-Driven Human Mobility Generation with Self-Aligned LLM FrameworkYusong Wang, Chuang Yang, Jiawei Wang, Xiaohang Xu, Jiayi Xu, Dongyuan Li, Chuan Xiao, Renhe Jiang
Machine Learning
東京科学大学 / 名古屋大学 / 東京大学
2026 · ICLR
Routing Channel-Patch Dependencies in Time Series Forecasting with Graph Spectral DecompositionDongyuan Li, Shun Zheng, Chang XU, Jiang Bian, Renhe Jiang
Machine Learning
東京大学
2026 · ICLR
TrajFlow: Nation-wide Pseudo GPS Trajectory Generation with Flow Matching ModelsPeiran Li, Jiawei Wang, Haoran Zhang, Xiaodan Shi, Noboru Koshizuka, Chihiro Shimizu, Renhe Jiang
Machine Learning
東京大学
2026 · ICML
Channel Adapter for Time Series Foundation Models in Zero-Shot Multivariate ForecastingDongyuan Li, Renhe Jiang, Shun Zheng, Zheng Dong, Haotian Gao, Ying Zhang, Jiang Bian
Machine Learning
東京大学
2026 · KDD
Frequency-Domain Multi-Modality Transportation ModelingJiewen Deng, Hangchen Liu, Junchen Li, Boyuan Zhang, Renhe Jiang
Web, Data Mining & Information Retrieval
東京大学
2026 · KDD
Towards Resilient Transportation: A Conditional Transformer for Accident-Informed Traffic ForecastingHongjun Wang, Jiawei Yong, Jiawei Wang, Shintaro Fukushima, Renhe Jiang
Web, Data Mining & Information Retrieval
東京大学
2026 · WWW
Node Role-Guided LLMs for Dynamic Graph ClusteringDongyuan Li, Ying Zhang, Yaozu Wu, Renhe Jiang
Web, Data Mining & Information Retrieval
東京大学
2025 · ICLR
Towards Neural Scaling Laws for Time Series Foundation ModelsQingren Yao, Chao-Han Huck Yang, Renhe Jiang, Yuxuan Liang, Ming Jin, Shirui Pan
Machine Learning
東京大学
2025 · ICML
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion ModelingHao Li, Yu-Hao Huang, Chang Xu, Viktor Schlegel, Renhe Jiang, Riza Batista-Navarro, Goran Nenadic, Jiang Bian
Machine Learning
東京大学
2025 · IJCAI
Disentangled and Personalized Representation Learning for Next Point-of-Interest RecommendationXuan Rao, Shuo Shang, Lisi Chen, Renhe Jiang, Peng Han
AI (General)
東京大学
2025 · KDD
CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public EventsXiaojie Yang, Hangli Ge, Jiawei Wang, Zipei Fan, Renhe Jiang, Ryosuke Shibasaki, Noboru Koshizuka
Web, Data Mining & Information Retrieval
東京大学
2025 · KDD
Non-Homophilic Graph Pre-Training and Prompt LearningXingtong Yu, Jie Zhang, Yuan Fang, Renhe Jiang
Web, Data Mining & Information Retrieval
東京大学
2025 · KDD
Taming Recommendation Bias with Causal Intervention on Evolving Personal PopularityShiyin Tan, Dongyuan Li, Renhe Jiang, Zhen Wang, Xingtong Yu, Manabu Okumura
Web, Data Mining & Information Retrieval
東京科学大学 / 東京大学
2025 · NeurIPS
Continuous Domain GeneralizationZekun CAI, Yiheng YAO, Guangji Bai, Renhe Jiang, Xuan Song, Ryosuke Shibasaki, Liang Zhao
Machine Learning
東京大学
2025 · NeurIPS
DyG-Mamba: Continuous State Space Modeling on Dynamic GraphsDongyuan Li, Shiyin Tan, Ying Zhang, Ming Jin, Shirui Pan, Manabu Okumura, Renhe Jiang
Machine Learning
東京科学大学 / 東京大学
2025 · NeurIPS
How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation LearningHaotian Gao, Zheng Dong, Jiawei Yong, Shintaro Fukushima, Kenjiro Taura, Renhe Jiang
Machine Learning
東京大学
2025 · SIGIR
A Unified Retrieval Framework with Document Ranking and EDU Filtering for Multi-document SummarizationShiyin Tan, Jaeeon Park, Dongyuan Li [東京科学大学] [東京大学], Renhe Jiang, Manabu Okumura
Web, Data Mining & Information Retrieval
東京科学大学 / 東京大学
2025 · VLDB/PVLDB
SIMformer: Single-Layer Vanilla Transformer Can Learn Free-Space Trajectory SimilarityChuang Yang, Renhe Jiang, Xiaohang Xu, Chuan Xiao, Kaoru Sezaki
Databases
大阪大学 / 東京大学
2025 · WWW
Revisiting Dynamic Graph Clustering via Matrix FactorizationDongyuan Li, Satoshi Kosugi, Ying Zhang, Manabu Okumura, Feng Xia, Renhe Jiang
Web, Data Mining & Information Retrieval
東京科学大学 / 東京大学
2025 · WWW
Seed: Bridging Sequence and Diffusion Models for Road Trajectory GenerationXuan Rao, Shuo Shang, Renhe Jiang, Peng Han, Lisi Chen
Web, Data Mining & Information Retrieval
東京大学
2024 · ICDE
Learning Multi-pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly DetectionFeiyi Chen, Yingying Zhang, Zhen Qin, Lunting Fan, Renhe Jiang, Yuxuan Liang, Qingsong Wen, Shuiguang Deng
Databases
東京大学
2024 · ICML
Community-Invariant Graph Contrastive LearningShiyin Tan, Dongyuan Li, Renhe Jiang, Ying Zhang, Manabu Okumura
Machine Learning
東京科学大学 / 東京大学
2024 · IJCAI
Multi-Modality Spatio-Temporal Forecasting via Self-Supervised LearningJiewen Deng, Renhe Jiang, Jiaqi Zhang, Xuan Song
AI (General)
東京大学
2024 · IJCAI
Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal ForecastingHaotian Gao, Renhe Jiang, Zheng Dong, Jinliang Deng, Yuxin Ma, Xuan Song
AI (General)
東京大学
2024 · KDD
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series ForecastingZheng Dong, Renhe Jiang, Haotian Gao, Hangchen Liu, Jinliang Deng, Qingsong Wen, Xuan Song
Web, Data Mining & Information Retrieval
東京大学
2024 · NeurIPS
Continuous Temporal Domain GeneralizationZekun Cai, Guangji Bai, Renhe Jiang, Xuan Song, Liang Zhao
Machine Learning
東京大学
2024 · NeurIPS
Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility GenerationJiawei Wang, Renhe Jiang, Chuang Yang, Zengqing Wu, Makoto Onizuka, Ryosuke Shibasaki, Noboru Koshizuka, Chuan Xiao
Machine Learning
大阪大学 / 東京大学
2024 · NeurIPS
Taming the Long Tail in Human Mobility PredictionXiaohang Xu, Renhe Jiang, Chuang Yang, Zipei Fan, Kaoru Sezaki [東京科学大学] [東京大学]
Machine Learning
東京科学大学 / 東京大学
2023 · AAAI
Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum DropoutHongjun Wang, Jiyuan Chen, Tong Pan, Zipei Fan, Xuan Song, Renhe Jiang, Lingyu Zhang, Yi Xie, Zhongyi Wang, Boyuan Zhang
AI (General)
東京大学
2023 · AAAI
Spatio-Temporal Meta-Graph Learning for Traffic ForecastingRenhe Jiang, Zhaonan Wang, Jiawei Yong, Puneet Jeph, Quanjun Chen, Yasumasa Kobayashi, Xuan Song, Shintaro Fukushima, Toyotaro Suzumura
AI (General)
東京大学
2023 · IJCAI
Learning Gaussian Mixture Representations for Tensor Time Series ForecastingJiewen Deng, Jinliang Deng, Renhe Jiang, Xuan Song
AI (General)
東京大学
2023 · WWW
Learning Social Meta-knowledge for Nowcasting Human Mobility in DisasterRenhe Jiang, Zhaonan Wang, Yudong Tao, Chuang Yang, Xuan Song, Ryosuke Shibasaki, Shu-Ching Chen, Mei-Ling Shyu
Web, Data Mining & Information Retrieval
東京大学
2022 · AAAI
Event-Aware Multimodal Mobility NowcastingZhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki
AI (General)
東京大学