Renhe Jiang

166 papers A* 29A 7B 4C 1Journal 102Unranked 23
YearRankTypeTitle / Venue / Authors
2026 J jnl
Correction: Cheng et al. Population Distribution Forecasting Based on the Fusion of Spatiotemporal Basic and External Features: A Case Study of Lujiazui Financial District. ISPRS Int. J. Geo-Inf. 2024, 13, 395.
ISPRS Int. J. Geo Inf.
Xianzhou Cheng, Xiaoming Wang, Renhe Jiang
2026 J jnl
ELLMob: Event-Driven Human Mobility Generation with Self-Aligned LLM Framework.
CoRR
Yusong Wang, Chuang Yang, Jiawei Wang, Xiaohang Xu, Jiayi Xu, Dongyuan Li, Chuan Xiao, Renhe Jiang
2026 A* conf
Node Role-Guided LLMs for Dynamic Graph Clustering.
WWW
Dongyuan Li, Ying Zhang, Yaozu Wu, Renhe Jiang
2026 J jnl
Node Role-Guided LLMs for Dynamic Graph Clustering.
CoRR
Dongyuan Li, Ying Zhang, Yaozu Wu, Renhe Jiang
2026 J jnl
Routing Channel-Patch Dependencies in Time Series Forecasting with Graph Spectral Decomposition.
CoRR
Dongyuan Li, Shun Zheng, Chang Xu, Jiang Bian, Renhe Jiang
2026 J jnl
See2Refine: Vision-Language Feedback Improves LLM-Based eHMI Action Designers.
CoRR
Ding Xia, Xinyue Gui, Mark Colley, Fan Gao, Zhongyi Zhou, Dongyuan Li, Renhe Jiang, Takeo Igarashi
2026 J jnl
Tiered Spatio-Temporal Difficulty: Curriculum Scheduler for Multi-Sensor Traffic Flow Prediction.
IEEE Trans. Mob. Comput.
Zhiwen Zhang, Hongjun Wang, Zipei Fan, Renhe Jiang, Wei Yuan, Xuan Song, Ryosuke Shibasaki
2026 — conf
Towards Resilient Transportation: A Conditional Transformer for Accident-Informed Traffic Forecasting.
KDD (1)
Hongjun Wang, Jiawei Yong, Jiawei Wang, Shintaro Fukushima, Renhe Jiang
2026 J jnl
TrajFlow: Nation-wide Pseudo GPS Trajectory Generation with Flow Matching Models.
CoRR
Peiran Li, Jiawei Wang, Haoran Zhang, Xiaodan Shi, Noboru Koshizuka, Chihiro Shimizu, Renhe Jiang
2026 J jnl
TrajGPT-R: Generating Urban Mobility Trajectory with Reinforcement Learning-Enhanced Generative Pre-trained Transformer.
CoRR
Jiawei Wang, Chuang Yang, Jiawei Yong, Xiaohang Xu, Hongjun Wang, Noboru Koshizuka, Shintaro Fukushima, Ryosuke Shibasaki, Renhe Jiang
2025 J jnl
A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI Autonomy.
CoRR
Henry Peng Zou, Wei-Chieh Huang, Yaozu Wu, Chunyu Miao, Dongyuan Li, Aiwei Liu, Yue Zhou, Yankai Chen, Weizhi Zhang, Yangning Li, Liancheng Fang, Renhe Jiang, Philip S. Yu
2025 — conf
A Survey of RAG-Reasoning Systems in Large Language Models.
EMNLP (Findings)
Yangning Li, Weizhi Zhang, Yuyao Yang, Wei-Chieh Huang, Yaozu Wu, Junyu Luo, Yuanchen Bei, Henry Peng Zou, Xiao Luo, Yusheng Zhao, Chunkit Chan, Yankai Chen, Zhongfen Deng, Yinghui Li, Hai-Tao Zheng, Dongyuan Li, Renhe Jiang, Ming Zhang, Yangqiu Song, Philip S. Yu
2025 J jnl
A Survey on Deep Active Learning: Recent Advances and New Frontiers.
IEEE Trans. Neural Networks Learn. Syst.
Dongyuan Li, Zhen Wang, Yankai Chen, Renhe Jiang, Weiping Ding, Manabu Okumura
2025 J jnl
A Survey on Large Language Model based Human-Agent Systems.
CoRR
Henry Peng Zou, Wei-Chieh Huang, Yaozu Wu, Yankai Chen, Chunyu Miao, Hoang Nguyen, Yue Zhou, Weizhi Zhang, Liancheng Fang, Langzhou He, Yangning Li, Dongyuan Li, Renhe Jiang, Xue Liu, Philip S. Yu
2025 A* conf
A Unified Retrieval Framework with Document Ranking and EDU Filtering for Multi-document Summarization.
SIGIR
Shiyin Tan, Jaeeon Park, Dongyuan Li, Renhe Jiang, Manabu Okumura
2025 J jnl
A Unified Retrieval Framework with Document Ranking and EDU Filtering for Multi-document Summarization.
CoRR
Shiyin Tan, Jaeeon Park, Dongyuan Li, Renhe Jiang, Manabu Okumura
2025 A* conf
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling.
ICML
Hao Li, Yu-Hao Huang, Chang Xu, Viktor Schlegel, Renhe Jiang, Riza Batista-Navarro, Goran Nenadic, Jiang Bian
2025 J jnl
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling.
CoRR
Hao Li, Yu-Hao Huang, Chang Xu, Viktor Schlegel, Renhe Jiang, Riza Batista-Navarro, Goran Nenadic, Jiang Bian
2025 — conf
CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events.
KDD (1)
Xiaojie Yang, Hangli Ge, Jiawei Wang, Zipei Fan, Renhe Jiang, Ryosuke Shibasaki, Noboru Koshizuka
2025 J jnl
Continuous Domain Generalization.
CoRR
Zekun Cai, Yiheng Yao, Guangji Bai, Renhe Jiang, Xuan Song, Ryosuke Shibasaki, Liang Zhao
2025 J jnl
Continuous Sign Language Recognition With Multi-Scale Spatial-Temporal Feature Enhancement.
IEEE Access
Zhen Wang, Dongyuan Li, Renhe Jiang, Manabu Okumura
2025 J jnl
DeepResearchGuard: Deep Research with Open-Domain Evaluation and Multi-Stage Guardrails for Safety.
CoRR
Wei-Chieh Huang, Henry Peng Zou, Yaozu Wu, Dongyuan Li, Yankai Chen, Weizhi Zhang, Yangning Li, Angelo Zangari, Jizhou Guo, Chunyu Miao, Liancheng Fang, Langzhou He, Renhe Jiang, Philip S. Yu
2025 A* conf
Disentangled and Personalized Representation Learning for Next Point-of-Interest Recommendation.
IJCAI
Xuan Rao, Shuo Shang, Lisi Chen, Renhe Jiang, Peng Han
2025 J jnl
Editorial High-Performance Recommender Systems Based on Spatiotemporal Data.
IEEE Trans. Big Data
Shuo Shang, Qi Liu, Renhe Jiang, Ryosuke Shibasaki, Panos Kalnis, Christian S. Jensen
2025 J jnl
Evaluating the Generalization Ability of Spatiotemporal Model in Urban Scenario.
IEEE Trans. Mob. Comput.
Hongjun Wang, Jiyuan Chen, Tong Pan, Zheng Dong, Renhe Jiang, Xuan Song
2025 J jnl
How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning.
CoRR
Haotian Gao, Zheng Dong, Jiawei Yong, Shintaro Fukushima, Kenjiro Taura, Renhe Jiang
2025 J jnl
LAG: LLM agents for Leaderboard Auto Generation on Demanding.
CoRR
Jian Wu, Jiayu Zhang, Dongyuan Li, Linyi Yang, Aoxiao Zhong, Renhe Jiang, Qingsong Wen, Yue Zhang
2025 J jnl
Leveraging Spatial-Temporal Heterogeneity and Cross-Mode Interactions: A Meta-Learning Approach for Multimodal Transportation Demand Prediction.
IEEE Trans. Intell. Transp. Syst.
Zhihuan Jiang, Ailing Huang, Renhe Jiang, Junxi Chen, Yoshihide Sekimoto, Wei Guan
2025 J jnl
LiDAR-assisted image restoration for extreme low-light conditions.
Knowl. Based Syst.
Zhen Wang, Yaozu Wu, Dongyuan Li, Guang Li, Peide Zhu, Ziqing Zhang, Renhe Jiang
2025 — conf
Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances, Resources, and Future Directions.
EMNLP (Findings)
Yaozu Wu, Dongyuan Li, Yankai Chen, Renhe Jiang, Henry Peng Zou, Wei-Chieh Huang, Yangning Li, Liancheng Fang, Zhen Wang, Philip S. Yu
2025 J jnl
Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances.
CoRR
Yaozu Wu, Dongyuan Li, Yankai Chen, Renhe Jiang, Henry Peng Zou, Liancheng Fang, Zhen Wang, Philip S. Yu
2025 J jnl
Next Point-of-Interest Recommendation With Adaptive Graph Contrastive Learning.
IEEE Trans. Knowl. Data Eng.
Xuan Rao, Renhe Jiang, Shuo Shang, Lisi Chen, Peng Han, Bin Yao, Panos Kalnis
2025 — conf
Non-Homophilic Graph Pre-Training and Prompt Learning.
KDD (1)
Xingtong Yu, Jie Zhang, Yuan Fang, Renhe Jiang
2025 J jnl
PSG-Agent: Personality-Aware Safety Guardrail for LLM-based Agents.
CoRR
Yaozu Wu, Jizhou Guo, Dongyuan Li, Henry Peng Zou, Wei-Chieh Huang, Yankai Chen, Zhen Wang, Weizhi Zhang, Yangning Li, Meng Zhang, Renhe Jiang, Philip S. Yu
2025 A* conf
Revisiting Dynamic Graph Clustering via Matrix Factorization.
WWW
Dongyuan Li, Satoshi Kosugi, Ying Zhang, Manabu Okumura, Feng Xia, Renhe Jiang
2025 J jnl
Revisiting Dynamic Graph Clustering via Matrix Factorization.
CoRR
Dongyuan Li, Satoshi Kosugi, Ying Zhang, Manabu Okumura, Feng Xia, Renhe Jiang
2025 A* conf
Seed: Bridging Sequence and Diffusion Models for Road Trajectory Generation.
WWW
Xuan Rao, Shuo Shang, Renhe Jiang, Peng Han, Lisi Chen
2025 — conf
Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity.
KDD (2)
Shiyin Tan, Dongyuan Li, Renhe Jiang, Zhen Wang, Xingtong Yu, Manabu Okumura
2025 J jnl
Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity.
CoRR
Shiyin Tan, Dongyuan Li, Renhe Jiang, Zhen Wang, Xingtong Yu, Manabu Okumura
2025 J jnl
Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs.
CoRR
Yangning Li, Weizhi Zhang, Yuyao Yang, Wei-Chieh Huang, Yaozu Wu, Junyu Luo, Yuanchen Bei, Henry Peng Zou, Xiao Luo, Yusheng Zhao, Chunkit Chan, Yankai Chen, Zhongfen Deng, Yinghui Li, Hai-Tao Zheng, Dongyuan Li, Renhe Jiang, Ming Zhang, Yangqiu Song, Philip S. Yu
2025 A* conf
Towards Neural Scaling Laws for Time Series Foundation Models.
ICLR
Qingren Yao, Chao-Han Huck Yang, Renhe Jiang, Yuxuan Liang, Ming Jin, Shirui Pan
2025 J jnl
Towards Resilient Transportation: A Conditional Transformer for Accident-Informed Traffic Forecasting.
CoRR
Hongjun Wang, Jiawei Yong, Jiawei Wang, Shintaro Fukushima, Renhe Jiang
2025 J jnl
Traffic forecasting with patch-based graph convolutional recurrent network.
GeoInformatica
Xuan Rao, Shuo Shang, Renhe Jiang, Lisi Chen, Peng Han
2025 J jnl
Trajectory generative models: a survey from unconditional and conditional perspectives.
GeoInformatica
Weiping Zhu, Renhe Jiang, Dongyuan Li, Xiangjie Kong, Xuan Song
2025 J jnl
Uncertainty-aware traffic accident risk prediction via multi-view hypergraph contrastive learning.
Inf. Fusion
Yimei Zhang, Guojiang Shen, Wenyi Zhang, Kaili Ning, Renhe Jiang, Xiangjie Kong
2025 A* conf
Video-based Transparent Object Segmentation via Temporal Feature Aggregation.
ACM Multimedia
Zhen Wang, Dongyuan Li, Yaozu Wu, Peide Zhu, Shiyin Tan, Renhe Jiang
2024 J jnl
A Survey on Deep Active Learning: Recent Advances and New Frontiers.
CoRR
Dongyuan Li, Zhen Wang, Yankai Chen, Renhe Jiang, Weiping Ding, Manabu Okumura
2024 J jnl
Anomalous Sub-Trajectory Detection With Graph Contrastive Self-Supervised Learning.
IEEE Trans. Veh. Technol.
Xiangjie Kong, Hang Lin, Renhe Jiang, Guojiang Shen
2024 J jnl
CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events.
CoRR
Xiaojie Yang, Hangli Ge, Jiawei Wang, Zipei Fan, Renhe Jiang, Ryosuke Shibasaki, Noboru Koshizuka
2024 A* conf
Community-Invariant Graph Contrastive Learning.
ICML
Shiyin Tan, Dongyuan Li, Renhe Jiang, Ying Zhang, Manabu Okumura
2024 J jnl
Community-Invariant Graph Contrastive Learning.
CoRR
Shiyin Tan, Dongyuan Li, Renhe Jiang, Ying Zhang, Manabu Okumura
2024 A* conf
Continuous Temporal Domain Generalization.
NeurIPS
Zekun Cai, Guangji Bai, Renhe Jiang, Xuan Song, Liang Zhao
2024 J jnl
Continuous Temporal Domain Generalization.
CoRR
Zekun Cai, Guangji Bai, Renhe Jiang, Xuan Song, Liang Zhao
2024 J jnl
Diffusion Models in 3D Vision: A Survey.
CoRR
Zhen Wang, Dongyuan Li, Renhe Jiang
2024 J jnl
Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting.
IEEE Trans. Knowl. Data Eng.
Jinliang Deng, Xiusi Chen, Renhe Jiang, Du Yin, Yi Yang, Xuan Song, Ivor W. Tsang
2024 J jnl
DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs.
CoRR
Dongyuan Li, Shiyin Tan, Ying Zhang, Ming Jin, Shirui Pan, Manabu Okumura, Renhe Jiang
2024 — conf
Enhancing Privacy of Spatiotemporal Federated Learning Against Gradient Inversion Attacks.
DASFAA (1)
Lele Zheng, Yang Cao, Renhe Jiang, Kenjiro Taura, Yulong Shen, Sheng Li, Masatoshi Yoshikawa
2024 J jnl
Enhancing Privacy of Spatiotemporal Federated Learning against Gradient Inversion Attacks.
CoRR
Lele Zheng, Yang Cao, Renhe Jiang, Kenjiro Taura, Yulong Shen, Sheng Li, Masatoshi Yoshikawa
2024 — conf
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned.
SIGSPATIAL/GIS
Du Yin, Jinliang Deng, Shuang Ao, Zechen Li, Hao Xue, Arian Prabowo, Renhe Jiang, Xuan Song, Flora D. Salim
2024 J jnl
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned.
CoRR
Du Yin, Jinliang Deng, Shuang Ao, Zechen Li, Hao Xue, Arian Prabowo, Renhe Jiang, Xuan Song, Flora D. Salim
2024 J jnl
Evaluating the Generalization Ability of Spatiotemporal Model in Urban Scenario.
CoRR
Hongjun Wang, Jiyuan Chen, Tong Pan, Zheng Dong, Lingyu Zhang, Renhe Jiang, Xuan Song
2024 J jnl
Extracting Spatiotemporal Data from Gradients with Large Language Models.
CoRR
Lele Zheng, Yang Cao, Renhe Jiang, Kenjiro Taura, Yulong Shen, Sheng Li, Masatoshi Yoshikawa
2024 J jnl
Forecasting Citywide Crowd Transition Process via Convolutional Recurrent Neural Networks.
IEEE Trans. Mob. Comput.
Zekun Cai, Renhe Jiang, Xinlei Lian, Chuang Yang, Zhaonan Wang, Zipei Fan, Kota Tsubouchi, Hill Hiroki Kobayashi, Xuan Song, Ryosuke Shibasaki
2024 J jnl
Foundation Models for Information Retrieval and Knowledge Processing.
Data Intell.
Shuo Shang, Renhe Jiang, Ryosuke Shibasaki, Rui Yan
2024 A* conf
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting.
KDD
Zheng Dong, Renhe Jiang, Haotian Gao, Hangchen Liu, Jinliang Deng, Qingsong Wen, Xuan Song
2024 J jnl
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting.
CoRR
Zheng Dong, Renhe Jiang, Haotian Gao, Hangchen Liu, Jinliang Deng, Qingsong Wen, Xuan Song
2024 J jnl
Hyper-relational knowledge graph neural network for next POI recommendation.
World Wide Web (WWW)
Jixiao Zhang, Yongkang Li, Ruotong Zou, Jingyuan Zhang, Renhe Jiang, Zipei Fan, Xuan Song
2024 — conf
Instruction-Tuning Llama-3-8B Excels in City-Scale Mobility Prediction.
HuMob-Challenge@SIGSPATIAL
Peizhi Tang, Chuang Yang, Tong Xing, Xiaohang Xu, Renhe Jiang, Kaoru Sezaki
2024 J jnl
Instruction-Tuning Llama-3-8B Excels in City-Scale Mobility Prediction.
CoRR
Peizhi Tang, Chuang Yang, Tong Xing, Xiaohang Xu, Renhe Jiang, Kaoru Sezaki
2024 J jnl
Introduction to the Special Issue on Machine Learning and Location Data.
ACM Trans. Spatial Algorithms Syst.
Renhe Jiang, Flora D. Salim, Mohamed F. Mokbel
2024 J jnl
Introduction to the Special Issue on Machine Learning and Location Data: Part II.
ACM Trans. Spatial Algorithms Syst.
Renhe Jiang, Flora D. Salim, Mohamed F. Mokbel
2024 A* conf
Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation.
NeurIPS
Jiawei Wang, Renhe Jiang, Chuang Yang, Zengqing Wu, Makoto Onizuka, Ryosuke Shibasaki, Noboru Koshizuka, Chuan Xiao
2024 J jnl
Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation.
CoRR
Jiawei Wang, Renhe Jiang, Chuang Yang, Zengqing Wu, Makoto Onizuka, Ryosuke Shibasaki, Chuan Xiao
2024 A* conf
Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection.
ICDE
Feiyi Chen, Yingying Zhang, Zhen Qin, Lunting Fan, Renhe Jiang, Yuxuan Liang, Qingsong Wen, Shuiguang Deng
2024 J jnl
Learning spatio-temporal dynamics on mobility networks for adaptation to open-world events.
Artif. Intell.
Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki, Wei Hu, Shaowen Wang
2024 A* conf
Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning.
IJCAI
Jiewen Deng, Renhe Jiang, Jiaqi Zhang, Xuan Song
2024 J jnl
Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning.
CoRR
Jiewen Deng, Renhe Jiang, Jiaqi Zhang, Xuan Song
2024 A* conf
Multimodal Low-light Image Enhancement with Depth Information.
ACM Multimedia
Zhen Wang, Dongyuan Li, Guang Li, Ziqing Zhang, Renhe Jiang
2024 J jnl
Non-Homophilic Graph Pre-Training and Prompt Learning.
CoRR
Xingtong Yu, Jie Zhang, Yuan Fang, Renhe Jiang
2024 J jnl
On Feature Decorrelation in Cloth-Changing Person Re-identification.
CoRR
Hongjun Wang, Jiyuan Chen, Renhe Jiang, Xuan Song, Yinqiang Zheng
2024 J jnl
Population Distribution Forecasting Based on the Fusion of Spatiotemporal Basic and External Features: A Case Study of Lujiazui Financial District.
ISPRS Int. J. Geo Inf.
Xianzhou Cheng, Xiaoming Wang, Renhe Jiang
2024 J jnl
Robust Traffic Forecasting against Spatial Shift over Years.
CoRR
Hongjun Wang, Jiyuan Chen, Tong Pan, Zheng Dong, Lingyu Zhang, Renhe Jiang, Xuan Song
2024 J jnl
SIMformer: Single-Layer Vanilla Transformer Can Learn Free-Space Trajectory Similarity.
CoRR
Chuang Yang, Renhe Jiang, Xiaohang Xu, Chuan Xiao, Kaoru Sezaki
2024 J jnl
SIMformer: Single-Layer Vanilla Transformer Can Learn Free-Space Trajectory Similarity.
Proc. VLDB Endow.
Chuang Yang, Renhe Jiang, Xiaohang Xu, Chuan Xiao, Kaoru Sezaki
2024 J jnl
STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting.
CoRR
Hongjun Wang, Jiyuan Chen, Tong Pan, Zheng Dong, Lingyu Zhang, Renhe Jiang, Xuan Song
2024 A* conf
Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting.
IJCAI
Haotian Gao, Renhe Jiang, Zheng Dong, Jinliang Deng, Yuxin Ma, Xuan Song
2024 J jnl
TTS-Norm: Forecasting Tensor Time Series via Multi-Way Normalization.
ACM Trans. Knowl. Discov. Data
Jiewen Deng, Jinliang Deng, Du Yin, Renhe Jiang, Xuan Song
2024 A* conf
Taming the Long Tail in Human Mobility Prediction.
NeurIPS
Xiaohang Xu, Renhe Jiang, Chuang Yang, Zipei Fan, Kaoru Sezaki
2024 J jnl
Taming the Long Tail in Human Mobility Prediction.
CoRR
Xiaohang Xu, Renhe Jiang, Chuang Yang, Zipei Fan, Kaoru Sezaki
2024 J jnl
Towards Neural Scaling Laws for Time Series Foundation Models.
CoRR
Qingren Yao, Chao-Han Huck Yang, Renhe Jiang, Yuxuan Liang, Ming Jin, Shirui Pan
2024 J jnl
Unveiling the Inflexibility of Adaptive Embedding in Traffic Forecasting.
CoRR
Hongjun Wang, Jiyuan Chen, Lingyu Zhang, Renhe Jiang, Xuan Song
2023 J jnl
A Multi-View Multi-Task Learning Framework for Multi-Variate Time Series Forecasting.
IEEE Trans. Knowl. Data Eng.
Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang
2023 J jnl
A Survey on Data-driven COVID-19 and Future Pandemic Management.
ACM Comput. Surv.
Yudong Tao, Chuang Yang, Tianyi Wang, Erik Coltey, Yanxiu Jin, Yinghao Liu, Renhe Jiang, Zipei Fan, Xuan Song, Ryosuke Shibasaki, Shu-Ching Chen, Mei-Ling Shyu, Steven Luis
2023 J jnl
DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction.
IEEE Trans. Knowl. Data Eng.
Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Kota Tsubouchi, Xuan Song, Ryosuke Shibasaki
2023 A* conf
Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout.
AAAI
Hongjun Wang, Jiyuan Chen, Tong Pan, Zipei Fan, Xuan Song, Renhe Jiang, Lingyu Zhang, Yi Xie, Zhongyi Wang, Boyuan Zhang
2023 J jnl
EpiMob: Interactive Visual Analytics of Citywide Human Mobility Restrictions for Epidemic Control.
IEEE Trans. Vis. Comput. Graph.
Chuang Yang, Zhiwen Zhang, Zipei Fan, Renhe Jiang, Quanjun Chen, Xuan Song, Ryosuke Shibasaki
2023 J jnl
HMGCL: Heterogeneous multigraph contrastive learning for LBSN friend recommendation.
World Wide Web (WWW)
Yongkang Li, Zipei Fan, Du Yin, Renhe Jiang, Jinliang Deng, Xuan Song
2023 A* conf
Learning Gaussian Mixture Representations for Tensor Time Series Forecasting.
IJCAI
Jiewen Deng, Jinliang Deng, Renhe Jiang, Xuan Song
2023 J jnl
Learning Gaussian Mixture Representations for Tensor Time Series Forecasting.
CoRR
Jiewen Deng, Jinliang Deng, Renhe Jiang, Xuan Song
2023 A* conf
Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster.
WWW
Renhe Jiang, Zhaonan Wang, Yudong Tao, Chuang Yang, Xuan Song, Ryosuke Shibasaki, Shu-Ching Chen, Mei-Ling Shyu
2023 J jnl
Learning Structured Components: Towards Modular and Interpretable Multivariate Time Series Forecasting.
CoRR
Jinliang Deng, Xiusi Chen, Renhe Jiang, Du Yin, Yi Yang, Xuan Song, Ivor W. Tsang
2023 J jnl
MACE: A Multi-pattern Accommodated and Efficient Anomaly Detection Method in the Frequency Domain.
CoRR
Feiyi Chen, Yingying Zhang, Zhen Qin, Lunting Fan, Renhe Jiang, Yuxuan Liang, Qingsong Wen, Shuiguang Deng
2023 J jnl
MTMGNN: Multi-time multi-graph neural network for metro passenger flow prediction.
GeoInformatica
Du Yin, Renhe Jiang, Jiewen Deng, Yongkang Li, Yi Xie, Zhongyi Wang, Yifan Zhou, Xuan Song, Jedi S. Shang
2023 A conf
MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation.
CIKM
Zekun Cai, Renhe Jiang, Xinyu Yang, Zhaonan Wang, Diansheng Guo, Hill Hiroki Kobayashi, Xuan Song, Ryosuke Shibasaki
2023 J jnl
MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation.
CoRR
Zekun Cai, Renhe Jiang, Xinyu Yang, Zhaonan Wang, Diansheng Guo, Hill Hiroki Kobayashi, Xuan Song, Ryosuke Shibasaki
2023 J jnl
Metapopulation Graph Neural Networks: Deep Metapopulation Epidemic Modeling with Human Mobility.
CoRR
Qi Cao, Renhe Jiang, Chuang Yang, Zipei Fan, Xuan Song, Ryosuke Shibasaki
2023 A conf
Metropolitan-scale Mobility Digital Twin.
WSDM
Zipei Fan, Renhe Jiang, Ryosuke Shibasaki
2023 — conf
Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation.
SIGSPATIAL/GIS
Xiaohang Xu, Toyotaro Suzumura, Jiawei Yong, Masatoshi Hanai, Chuang Yang, Hiroki Kanezashi, Renhe Jiang, Shintaro Fukushima
2023 J jnl
Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation.
CoRR
Xiaohang Xu, Toyotaro Suzumura, Jiawei Yong, Masatoshi Hanai, Chuang Yang, Hiroki Kanezashi, Renhe Jiang, Shintaro Fukushima
2023 J jnl
STAEformer: Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting.
CoRR
Hangchen Liu, Zheng Dong, Renhe Jiang, Jiewen Deng, Jinliang Deng, Quanjun Chen, Xuan Song
2023 — conf
Sequence-Graph Fusion Neural Network for User Mobile App Behavior Prediction.
ECML/PKDD (6)
Yizhuo Wang, Renhe Jiang, Hangchen Liu, Du Yin, Xuan Song
2023 A conf
Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting.
CIKM
Hangchen Liu, Zheng Dong, Renhe Jiang, Jiewen Deng, Jinliang Deng, Quanjun Chen, Xuan Song
2023 A* conf
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting.
AAAI
Renhe Jiang, Zhaonan Wang, Jiawei Yong, Puneet Jeph, Quanjun Chen, Yasumasa Kobayashi, Xuan Song, Shintaro Fukushima, Toyotaro Suzumura
2023 J jnl
Spatio-Temporal-Decoupled Masked Pre-training: Benchmarked on Traffic Forecasting.
CoRR
Haotian Gao, Renhe Jiang, Zheng Dong, Jinliang Deng, Yuxin Ma, Xuan Song
2023 A conf
Towards an Event-Aware Urban Mobility Prediction System.
WSDM
Zhaonan Wang, Renhe Jiang, Zipei Fan, Xuan Song, Ryosuke Shibasaki
2022 A* conf
DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction (Extended abstract).
ICDE
Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Kota Tsubouchi, Xuan Song, Ryosuke Shibasaki
2022 A conf
Documentation-based functional constraint generation for library methods.
ICST
Renhe Jiang, Zhengzhao Chen, Yu Pei, Minxue Pan, Tian Zhang, Xuandong Li
2022 J jnl
Easy Begun is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout.
CoRR
Hongjun Wang, Jiyuan Chen, Tong Pan, Zipei Fan, Boyuan Zhang, Renhe Jiang, Lingyu Zhang, Yi Xie, Zhongyi Wang, Xuan Song
2022 A* conf
Event-Aware Multimodal Mobility Nowcasting.
AAAI
Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki
2022 — conf
Forecasting Regional Multimodal Transportation Demand with Graph Neural Networks: An Open Dataset.
ITSC
Haoyuan Ma, Mintao Zhou, Xiaodong Ouyang, Du Yin, Renhe Jiang, Xuan Song
2022 J jnl
Human Mobility-based Individual-level Epidemic Simulation Platform.
ACM Trans. Spatial Algorithms Syst.
Zipei Fan, Chuang Yang, Zhiwen Zhang, Xuan Song, Yinghao Liu, Renhe Jiang, Quanjun Chen, Ryosuke Shibasaki
2022 B conf
Learning Latent Road Correlations from Trajectories.
IEEE Big Data
Zheng Dong, Quanjun Chen, Renhe Jiang, Huanchen Wang, Xuan Song, Hao Tian
2022 — conf
MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks.
ECML/PKDD (6)
Qi Cao, Renhe Jiang, Chuang Yang, Zipei Fan, Xuan Song, Ryosuke Shibasaki
2022 B conf
Multi-weighted Graphs Learning for Passenger Count Prediction on Railway Network.
COMPSAC
Hangli Ge, Lifeng Lin, Renhe Jiang, Takashi Michikata, Noboru Koshizuka
2022 J jnl
Online Trajectory Prediction for Metropolitan Scale Mobility Digital Twin.
CoRR
Zipei Fan, Xiaojie Yang, Wei Yuan, Renhe Jiang, Quanjun Chen, Xuan Song, Ryosuke Shibasaki
2022 — conf
Online trajectory prediction for metropolitan scale mobility digital twin.
SIGSPATIAL/GIS
Zipei Fan, Xiaojie Yang, Wei Yuan, Renhe Jiang, Quanjun Chen, Xuan Song, Ryosuke Shibasaki
2022 J jnl
Predicting Citywide Crowd Dynamics at Big Events: A Deep Learning System.
ACM Trans. Intell. Syst. Technol.
Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Xuan Song, Ryosuke Shibasaki
2022 J jnl
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting.
CoRR
Renhe Jiang, Zhaonan Wang, Jiawei Yong, Puneet Jeph, Quanjun Chen, Yasumasa Kobayashi, Xuan Song, Shintaro Fukushima, Toyotaro Suzumura
2022 B conf
The Impact of COVID-19 on Human Mobility: A Case Study on New York.
IEEE Big Data
Xinchen Hao, Renhe Jiang, Jiewen Deng, Xuan Song
2022 J jnl
Will you go where you search? A deep learning framework for estimating user search-and-go behavior.
Neurocomputing
Renhe Jiang, Quanjun Chen, Zekun Cai, Zipei Fan, Xuan Song, Kota Tsubouchi, Ryosuke Shibasaki
2022 B conf
Yahoo! Bousai Crowd Data: A Large-Scale Crowd Density and Flow Dataset in Tokyo and Osaka.
IEEE Big Data
Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Quanjun Chen, Kota Tsubouchi, Xuan Song, Ryosuke Shibasaki
2022 — conf
mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations.
DASC/PiCom/CBDCom/CyberSciTech
Toyotaro Suzumura, Akiyoshi Sugiki, Hiroyuki Takizawa, Akira Imakura, Hiroshi Nakamura, Kenjiro Taura, Tomohiro Kudoh, Toshihiro Hanawa, Yuji Sekiya, Hill Hiroki Kobayashi, Yohei Kuga, Ryo Nakamura, Renhe Jiang, Junya Kawase, Masatoshi Hanai, Hiroshi Miyazaki, Tsutomu Ishizaki, Daisuké Shimotoku, Daisuke Miyamoto, Kento Aida, Atsuko Takefusa, Takashi Kurimoto, Koji Sasayama, Naoya Kitagawa, Ikki Fujiwara, Yusuke Tanimura, Takayuki Aoki, Toshio Endo, Satoshi Ohshima, Keiichiro Fukazawa, Susumu Date, Toshihiro Uchibayashi
2022 J jnl
mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations.
CoRR
Toyotaro Suzumura, Akiyoshi Sugiki, Hiroyuki Takizawa, Akira Imakura, Hiroshi Nakamura, Kenjiro Taura, Tomohiro Kudoh, Toshihiro Hanawa, Yuji Sekiya, Hill Hiroki Kobayashi, Shin Matsushima, Yohei Kuga, Ryo Nakamura, Renhe Jiang, Junya Kawase, Masatoshi Hanai, Hiroshi Miyazaki, Tsutomu Ishizaki, Daisuké Shimotoku, Daisuke Miyamoto, Kento Aida, Atsuko Takefusa, Takashi Kurimoto, Koji Sasayama, Naoya Kitagawa, Ikki Fujiwara, Yusuke Tanimura, Takayuki Aoki, Toshio Endo, Satoshi Ohshima, Keiichiro Fukazawa, Susumu Date, Toshihiro Uchibayashi
2021 J jnl
A Multi-view Multi-task Learning Framework for Multi-variate Time Series Forecasting.
CoRR
Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang
2021 — conf
Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19.
ECML/PKDD (4)
Renhe Jiang, Zhaonan Wang, Zekun Cai, Chuang Yang, Zipei Fan, Tianqi Xia, Go Matsubara, Hiroto Mizuseki, Xuan Song, Ryosuke Shibasaki
2021 A conf
DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction.
CIKM
Renhe Jiang, Du Yin, Zhaonan Wang, Yizhuo Wang, Jiewen Deng, Hangchen Liu, Zekun Cai, Jinliang Deng, Xuan Song, Ryosuke Shibasaki
2021 J jnl
DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction.
CoRR
Renhe Jiang, Du Yin, Zhaonan Wang, Yizhuo Wang, Jiewen Deng, Hangchen Liu, Zekun Cai, Jinliang Deng, Xuan Song, Ryosuke Shibasaki
2021 — conf
Data-Driven In-Crisis Community Identification for Disaster Response and Management.
CIC
Yudong Tao, Renhe Jiang, Erik Coltey, Chuang Yang, Xuan Song, Ryosuke Shibasaki, Mei-Ling Shyu, Shu-Ching Chen
2021 J jnl
Documentation-based functional constraint generation for library methods.
Softw. Test. Verification Reliab.
Renhe Jiang, Zhengzhao Chen, Yu Pei, Minxue Pan, Tian Zhang, Xuandong Li
2021 J jnl
Event-Aware Multimodal Mobility Nowcasting.
CoRR
Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki
2021 A* conf
Forecasting Ambulance Demand with Profiled Human Mobility via Heterogeneous Multi-Graph Neural Networks.
ICDE
Zhaonan Wang, Tianqi Xia, Renhe Jiang, Xin Liu, Kyoung-Sook Kim, Xuan Song, Ryosuke Shibasaki
2021 A* conf
ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting.
KDD
Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang
2021 A* conf
Social-DPF: Socially Acceptable Distribution Prediction of Futures.
AAAI
Xiaodan Shi, Xiaowei Shao, Guangming Wu, Haoran Zhang, Zhiling Guo, Renhe Jiang, Ryosuke Shibasaki
2021 A conf
Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction.
CIKM
Zhaonan Wang, Renhe Jiang, Zekun Cai, Zipei Fan, Xin Liu, Kyoung-Sook Kim, Xuan Song, Ryosuke Shibasaki
2021 J jnl
The Pulse of Urban Transport: Exploring the Co-evolving Pattern for Spatio-temporal Forecasting.
ACM Trans. Knowl. Discov. Data
Jinliang Deng, Xiusi Chen, Zipei Fan, Renhe Jiang, Xuan Song, Ivor W. Tsang
2021 J jnl
Transfer Urban Human Mobility via POI Embedding over Multiple Cities.
Trans. Data Sci.
Renhe Jiang, Xuan Song, Zipei Fan, Tianqi Xia, Zhaonan Wang, Quanjun Chen, Zekun Cai, Ryosuke Shibasaki
2020 — conf
DualSIN: Dual Sequential Interaction Network for Human Intentional Mobility Prediction.
SIGSPATIAL/GIS
Quanjun Chen, Renhe Jiang, Chuang Yang, Zekun Cai, Zipei Fan, Kota Tsubouchi, Ryosuke Shibasaki, Xuan Song
2020 J jnl
Enhancing example-based code search with functional semantics.
J. Syst. Softw.
Zhengzhao Chen, Renhe Jiang, Zejun Zhang, Yu Pei, Minxue Pan, Tian Zhang, Xuandong Li
2020 J jnl
EpiMob: Interactive Visual Analytics of Citywide Human Mobility Restrictions for Epidemic Control.
CoRR
Zhiwen Zhang, Chuang Yang, Zipei Fan, Renhe Jiang, Quanjun Chen, Xuan Song, Ryosuke Shibasaki
2020 J jnl
Human mobility based individual-level epidemic simulation platform.
ACM SIGSPATIAL Special
Zipei Fan, Xuan Song, Yinghao Liu, Zhiwen Zhang, Chuang Yang, Quanjun Chen, Renhe Jiang, Ryosuke Shibasaki
2020 A* conf
Multimodal Interaction-Aware Trajectory Prediction in Crowded Space.
AAAI
Xiaodan Shi, Xiaowei Shao, Zipei Fan, Renhe Jiang, Haoran Zhang, Zhiling Guo, Guangming Wu, Wei Yuan, Ryosuke Shibasaki
2020 J jnl
Trajectory fingerprint: one-shot human trajectory identification using Siamese network.
CCF Trans. Pervasive Comput. Interact.
Zipei Fan, Xuan Song, Quanjun Chen, Renhe Jiang, Ryosuke Shibasaki, Kota Tsubouchi
2019 — conf
A Variational Autoencoder Based Generative Model of Urban Human Mobility.
MIPR
Dou Huang, Xuan Song, Zipei Fan, Renhe Jiang, Ryosuke Shibasaki, Yu Zhang, Haizhong Wang, Yugo Kato
2019 J jnl
Decentralized Attention-based Personalized Human Mobility Prediction.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Zipei Fan, Xuan Song, Renhe Jiang, Quanjun Chen, Ryosuke Shibasaki
2019 — conf
Deep Multiple Instance Learning for Human Trajectory Identification.
SIGSPATIAL/GIS
Zipei Fan, Quanjun Chen, Renhe Jiang, Ryosuke Shibasaki, Xuan Song, Kota Tsubouchi
2019 A* conf
DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big Events.
KDD
Renhe Jiang, Xuan Song, Dou Huang, Xiaoya Song, Tianqi Xia, Zekun Cai, Zhaonan Wang, Kyoung-Sook Kim, Ryosuke Shibasaki
2019 J jnl
VLUC: An Empirical Benchmark for Video-Like Urban Computing on Citywide Crowd and Traffic Prediction.
CoRR
Renhe Jiang, Zekun Cai, Zhaonan Wang, Chuang Yang, Zipei Fan, Xuan Song, Kota Tsubouchi, Ryosuke Shibasaki
2019 J jnl
基于约束求解的代码查询技术在StackOverflow上的实证研究 (Empirical Study of Code Query Technique Based on Constraint Solving on StackOverflow).
计算机科学
Zhengzhao Chen, Renhe Jiang, Minxue Pan, Tian Zhang, Xuandong Li
2018 — conf
A Documentation-based Constraint Generation Method for Java APIs.
Internetware
Zejun Zhang, Shaobo Wu, Renhe Jiang, Minxue Pan, Tian Zhang
2018 J jnl
Deep ROI-Based Modeling for Urban Human Mobility Prediction.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Renhe Jiang, Xuan Song, Zipei Fan, Tianqi Xia, Quanjun Chen, Qi Chen, Ryosuke Shibasaki
2018 — conf
DeepRailway: A Deep Learning System for Forecasting Railway Traffic.
MIPR
Tianqi Xia, Xuan Song, Zipei Fan, Hiroshi Kanasugi, Quanjun Chen, Renhe Jiang, Ryosuke Shibasaki
2018 A* conf
DeepUrbanMomentum: An Online Deep-Learning System for Short-Term Urban Mobility Prediction.
AAAI
Renhe Jiang, Xuan Song, Zipei Fan, Tianqi Xia, Quanjun Chen, Satoshi Miyazawa, Ryosuke Shibasaki
2018 J jnl
Online Deep Ensemble Learning for Predicting Citywide Human Mobility.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Zipei Fan, Xuan Song, Tianqi Xia, Renhe Jiang, Ryosuke Shibasaki, Ritsu Sakuramachi
2018 C conf
[Research Paper] Semantics-Based Code Search Using Input/Output Examples.
SCAM
Renhe Jiang, Zhengzhao Chen, Zejun Zhang, Yu Pei, Minxue Pan, Tian Zhang
2017 — conf
Outbound behavior analysis through social network data: A case study of Chinese people in Japan.
IEEE BigData
Tianqi Xia, Xuan Song, Dou Huang, Satoshi Miyazawa, Zipei Fan, Renhe Jiang, Ryosuke Shibasaki
2017 J jnl
一种基于UML关系的Java代码库构造方法 (Method of Java Code Repository Construction Based on UML Relationship).
计算机科学
Renhe Jiang, Xiaomei Zheng, Xiaoqian Zhu, Minxue Pan, Tian Zhang