Outbound behavior analysis through social network data: A case study of Chinese people in Japan. - Tianqi Xia; Xuan Song 001; Dou Huang; Satoshi Miyazawa; Zipei Fan; Renhe Jiang; Ryosuke Shibasaki (IEEE BigData, 2017)

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). - Renhe Jiang; Xiaomei Zheng; Xiaoqian Zhu; Minxue Pan; Tian Zhang 001 (计算机科学, 2017)

DeepUrbanMomentum: An Online Deep-Learning System for Short-Term Urban Mobility Prediction. - Renhe Jiang; Xuan Song 001; Zipei Fan; Tianqi Xia; Quanjun Chen; Satoshi Miyazawa; Ryosuke Shibasaki (AAAI, 2018)

A Documentation-based Constraint Generation Method for Java APIs. - Zejun Zhang 004; Shaobo Wu; Renhe Jiang; Minxue Pan; Tian Zhang 001 (Internetware, 2018)

DeepRailway: A Deep Learning System for Forecasting Railway Traffic. - Tianqi Xia; Xuan Song 001; Zipei Fan; Hiroshi Kanasugi; Quanjun Chen; Renhe Jiang; Ryosuke Shibasaki (MIPR, 2018)

[Research Paper] Semantics-Based Code Search Using Input/Output Examples. - Renhe Jiang; Zhengzhao Chen; Zejun Zhang 004; Yu Pei 001; Minxue Pan; Tian Zhang 001 (SCAM, 2018)

Online Deep Ensemble Learning for Predicting Citywide Human Mobility. - Zipei Fan; Xuan Song 001; Tianqi Xia; Renhe Jiang; Ryosuke Shibasaki; Ritsu Sakuramachi (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

Deep ROI-Based Modeling for Urban Human Mobility Prediction. - Renhe Jiang; Xuan Song 001; Zipei Fan; Tianqi Xia; Quanjun Chen; Qi Chen 012; Ryosuke Shibasaki (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

Deep Multiple Instance Learning for Human Trajectory Identification. - Zipei Fan; Quanjun Chen; Renhe Jiang; Ryosuke Shibasaki; Xuan Song 001; Kota Tsubouchi (SIGSPATIAL/GIS, 2019)

DeepUrbanEvent: A System for Predicting Citywide Crowd Dynamics at Big Events. - Renhe Jiang; Xuan Song 001; Dou Huang; Xiaoya Song; Tianqi Xia; Zekun Cai; Zhaonan Wang 001; Kyoung-Sook Kim 001; Ryosuke Shibasaki (KDD, 2019)

A Variational Autoencoder Based Generative Model of Urban Human Mobility. - Dou Huang; Xuan Song 001; Zipei Fan; Renhe Jiang; Ryosuke Shibasaki; Yu Zhang; Haizhong Wang; Yugo Kato (MIPR, 2019)

VLUC: An Empirical Benchmark for Video-Like Urban Computing on Citywide Crowd and Traffic Prediction. - Renhe Jiang; Zekun Cai; Zhaonan Wang 001; Chuang Yang 002; Zipei Fan; Xuan Song 001; Kota Tsubouchi; Ryosuke Shibasaki (CoRR, 2019)

Decentralized Attention-based Personalized Human Mobility Prediction. - Zipei Fan; Xuan Song 001; Renhe Jiang; Quanjun Chen; Ryosuke Shibasaki (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

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). - Zhengzhao Chen; Renhe Jiang; Minxue Pan; Tian Zhang 001; Xuandong Li (计算机科学, 2019)

Multimodal Interaction-Aware Trajectory Prediction in Crowded Space. - Xiaodan Shi; Xiaowei Shao; Zipei Fan; Renhe Jiang; Haoran Zhang 002; Zhiling Guo; Guangming Wu; Wei Yuan 004; Ryosuke Shibasaki (AAAI, 2020)

DualSIN: Dual Sequential Interaction Network for Human Intentional Mobility Prediction. - Quanjun Chen; Renhe Jiang; Chuang Yang 002; Zekun Cai; Zipei Fan; Kota Tsubouchi; Ryosuke Shibasaki; Xuan Song 001 (SIGSPATIAL/GIS, 2020)

Trajectory fingerprint: one-shot human trajectory identification using Siamese network. - Zipei Fan; Xuan Song 001; Quanjun Chen; Renhe Jiang; Ryosuke Shibasaki; Kota Tsubouchi (CCF Trans. Pervasive Comput. Interact., 2020)

Enhancing example-based code search with functional semantics. - Zhengzhao Chen; Renhe Jiang; Zejun Zhang 004; Yu Pei 001; Minxue Pan; Tian Zhang 001; Xuandong Li (J. Syst. Softw., 2020)

Human mobility based individual-level epidemic simulation platform. - Zipei Fan; Xuan Song 001; Yinghao Liu; Zhiwen Zhang 004; Chuang Yang 002; Quanjun Chen; Renhe Jiang; Ryosuke Shibasaki (ACM SIGSPATIAL Special, 2020)

Social-DPF: Socially Acceptable Distribution Prediction of Futures. - Xiaodan Shi; Xiaowei Shao; Guangming Wu; Haoran Zhang 002; Zhiling Guo; Renhe Jiang; Ryosuke Shibasaki (AAAI, 2021)

DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction. - Renhe Jiang; Du Yin; Zhaonan Wang 001; Yizhuo Wang; Jiewen Deng; Hangchen Liu; Zekun Cai; Jinliang Deng; Xuan Song 001; Ryosuke Shibasaki (CIKM, 2021)

Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction. - Zhaonan Wang 001; Renhe Jiang; Zekun Cai; Zipei Fan; Xin Liu 020; Kyoung-Sook Kim 001; Xuan Song 001; Ryosuke Shibasaki (CIKM, 2021)

Data-Driven In-Crisis Community Identification for Disaster Response and Management. - Yudong Tao; Renhe Jiang; Erik Coltey; Chuang Yang 002; Xuan Song 001; Ryosuke Shibasaki; Mei-Ling Shyu; Shu-Ching Chen (CIC, 2021)

Forecasting Ambulance Demand with Profiled Human Mobility via Heterogeneous Multi-Graph Neural Networks. - Zhaonan Wang 001; Tianqi Xia; Renhe Jiang; Xin Liu 020; Kyoung-Sook Kim 001; Xuan Song 001; Ryosuke Shibasaki (ICDE, 2021)

ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting. - Jinliang Deng; Xiusi Chen; Renhe Jiang; Xuan Song 001; Ivor W. Tsang (KDD, 2021)

Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19. - Renhe Jiang; Zhaonan Wang 001; Zekun Cai; Chuang Yang 002; Zipei Fan; Tianqi Xia; Go Matsubara; Hiroto Mizuseki; Xuan Song 001; Ryosuke Shibasaki (ECML/PKDD (4), 2021)

Documentation-based functional constraint generation for library methods. - Renhe Jiang; Zhengzhao Chen; Yu Pei 001; Minxue Pan; Tian Zhang 001; Xuandong Li (Softw. Test. Verification Reliab., 2021)

Transfer Urban Human Mobility via POI Embedding over Multiple Cities. - Renhe Jiang; Xuan Song 001; Zipei Fan; Tianqi Xia; Zhaonan Wang 001; Quanjun Chen; Zekun Cai; Ryosuke Shibasaki (Trans. Data Sci., 2021)

The Pulse of Urban Transport: Exploring the Co-evolving Pattern for Spatio-temporal Forecasting. - Jinliang Deng; Xiusi Chen; Zipei Fan; Renhe Jiang; Xuan Song 001; Ivor W. Tsang (ACM Trans. Knowl. Discov. Data, 2021)

Event-Aware Multimodal Mobility Nowcasting. - Zhaonan Wang 001; Renhe Jiang; Hao Xue 001; Flora D. Salim; Xuan Song 001; Ryosuke Shibasaki (AAAI, 2022)

Learning Latent Road Correlations from Trajectories. - Zheng Dong 006; Quanjun Chen; Renhe Jiang; Huanchen Wang; Xuan Song 001; Hao Tian (IEEE Big Data, 2022)

The Impact of COVID-19 on Human Mobility: A Case Study on New York. - Xinchen Hao; Renhe Jiang; Jiewen Deng; Xuan Song 001 (IEEE Big Data, 2022)

Yahoo! Bousai Crowd Data: A Large-Scale Crowd Density and Flow Dataset in Tokyo and Osaka. - Renhe Jiang; Zekun Cai; Zhaonan Wang 001; Chuang Yang 002; Zipei Fan; Quanjun Chen; Kota Tsubouchi; Xuan Song 001; Ryosuke Shibasaki (IEEE Big Data, 2022)

Multi-weighted Graphs Learning for Passenger Count Prediction on Railway Network. - Hangli Ge; Lifeng Lin; Renhe Jiang; Takashi Michikata; Noboru Koshizuka (COMPSAC, 2022)

mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations. - 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; et al. (DASC/PiCom/CBDCom/CyberSciTech, 2022)

Online trajectory prediction for metropolitan scale mobility digital twin. - Zipei Fan; Xiaojie Yang; Wei Yuan 004; Renhe Jiang; Quanjun Chen; Xuan Song 001; Ryosuke Shibasaki (SIGSPATIAL/GIS, 2022)

DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction (Extended abstract). - Renhe Jiang; Zekun Cai; Zhaonan Wang 001; Chuang Yang 002; Zipei Fan; Quanjun Chen; Kota Tsubouchi; Xuan Song 001; Ryosuke Shibasaki (ICDE, 2022)

Forecasting Regional Multimodal Transportation Demand with Graph Neural Networks: An Open Dataset. - Haoyuan Ma; Mintao Zhou; Xiaodong Ouyang; Du Yin; Renhe Jiang; Xuan Song 001 (ITSC, 2022)

MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks. - Qi Cao; Renhe Jiang; Chuang Yang 002; Zipei Fan; Xuan Song 001; Ryosuke Shibasaki (ECML/PKDD (6), 2022)

mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations. - 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; et al. (CoRR, 2022)

Will you go where you search? A deep learning framework for estimating user search-and-go behavior. - Renhe Jiang; Quanjun Chen; Zekun Cai; Zipei Fan; Xuan Song 001; Kota Tsubouchi; Ryosuke Shibasaki (Neurocomputing, 2022)

Predicting Citywide Crowd Dynamics at Big Events: A Deep Learning System. - Renhe Jiang; Zekun Cai; Zhaonan Wang 001; Chuang Yang 002; Zipei Fan; Quanjun Chen; Xuan Song 001; Ryosuke Shibasaki (ACM Trans. Intell. Syst. Technol., 2022)

Spatio-Temporal Meta-Graph Learning for Traffic Forecasting. - Renhe Jiang; Zhaonan Wang 001; Jiawei Yong; Puneet Jeph; Quanjun Chen; Yasumasa Kobayashi; Xuan Song 001; Shintaro Fukushima; Toyotaro Suzumura (AAAI, 2023)

Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout. - Hongjun Wang 007; Jiyuan Chen; Tong Pan; Zipei Fan; Xuan Song 001; Renhe Jiang; Lingyu Zhang 001; Yi Xie; Zhongyi Wang; Boyuan Zhang 005 (AAAI, 2023)

MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation. - Zekun Cai; Renhe Jiang; Xinyu Yang; Zhaonan Wang 001; Diansheng Guo; Hill Hiroki Kobayashi; Xuan Song 001; Ryosuke Shibasaki (CIKM, 2023)

Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting. - Hangchen Liu; Zheng Dong 006; Renhe Jiang; Jiewen Deng; Jinliang Deng; Quanjun Chen; Xuan Song 001 (CIKM, 2023)

Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation. - Xiaohang Xu 002; Toyotaro Suzumura; Jiawei Yong; Masatoshi Hanai; Chuang Yang 002; Hiroki Kanezashi; Renhe Jiang; Shintaro Fukushima (SIGSPATIAL/GIS, 2023)

Learning Gaussian Mixture Representations for Tensor Time Series Forecasting. - Jiewen Deng; Jinliang Deng; Renhe Jiang; Xuan Song 001 (IJCAI, 2023)

Sequence-Graph Fusion Neural Network for User Mobile App Behavior Prediction. - Yizhuo Wang; Renhe Jiang; Hangchen Liu; Du Yin; Xuan Song 001 (ECML/PKDD (6), 2023)

Towards an Event-Aware Urban Mobility Prediction System. - Zhaonan Wang 001; Renhe Jiang; Zipei Fan; Xuan Song 001; Ryosuke Shibasaki (WSDM, 2023)

Metropolitan-scale Mobility Digital Twin. - Zipei Fan; Renhe Jiang; Ryosuke Shibasaki (WSDM, 2023)

Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster. - Renhe Jiang; Zhaonan Wang 001; Yudong Tao; Chuang Yang 002; Xuan Song 001; Ryosuke Shibasaki; Shu-Ching Chen; Mei-Ling Shyu (WWW, 2023)

Learning Structured Components: Towards Modular and Interpretable Multivariate Time Series Forecasting. - Jinliang Deng; Xiusi Chen; Renhe Jiang; Du Yin; Yi Yang 001; Xuan Song 001; Ivor W. Tsang (CoRR, 2023)

Metapopulation Graph Neural Networks: Deep Metapopulation Epidemic Modeling with Human Mobility. - Qi Cao; Renhe Jiang; Chuang Yang 002; Zipei Fan; Xuan Song 001; Ryosuke Shibasaki (CoRR, 2023)

STAEformer: Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting. - Hangchen Liu; Zheng Dong 006; Renhe Jiang; Jiewen Deng; Jinliang Deng; Quanjun Chen; Xuan Song 001 (CoRR, 2023)

MACE: A Multi-pattern Accommodated and Efficient Anomaly Detection Method in the Frequency Domain. - Feiyi Chen; Yingying Zhang; Zhen Qin 004; Lunting Fan; Renhe Jiang; Yuxuan Liang; Qingsong Wen; Shuiguang Deng (CoRR, 2023)

Spatio-Temporal-Decoupled Masked Pre-training: Benchmarked on Traffic Forecasting. - Haotian Gao; Renhe Jiang; Zheng Dong 006; Jinliang Deng; Yuxin Ma; Xuan Song 001 (CoRR, 2023)

A Survey on Data-driven COVID-19 and Future Pandemic Management. - Yudong Tao; Chuang Yang 002; Tianyi Wang 003; Erik Coltey; Yanxiu Jin; Yinghao Liu; Renhe Jiang; Zipei Fan; Xuan Song 001; Ryosuke Shibasaki; Shu-Ching Chen; Mei-Ling Shyu; et al. (ACM Comput. Surv., 2023)

MTMGNN: Multi-time multi-graph neural network for metro passenger flow prediction. - Du Yin; Renhe Jiang; Jiewen Deng; Yongkang Li 002; Yi Xie; Zhongyi Wang; Yifan Zhou; Xuan Song 001; Jedi S. Shang (GeoInformatica, 2023)

DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction. - Renhe Jiang; Zekun Cai; Zhaonan Wang 001; Chuang Yang 002; Zipei Fan; Quanjun Chen; Kota Tsubouchi; Xuan Song 001; Ryosuke Shibasaki (IEEE Trans. Knowl. Data Eng., 2023)

HMGCL: Heterogeneous multigraph contrastive learning for LBSN friend recommendation. - Yongkang Li 002; Zipei Fan; Du Yin; Renhe Jiang; Jinliang Deng; Xuan Song 001 (World Wide Web (WWW), 2023)

A Multi-View Multi-Task Learning Framework for Multi-Variate Time Series Forecasting. - Jinliang Deng; Xiusi Chen; Renhe Jiang; Xuan Song 001; Ivor W. Tsang (IEEE Trans. Knowl. Data Eng., 2023)

EpiMob: Interactive Visual Analytics of Citywide Human Mobility Restrictions for Epidemic Control. - Chuang Yang 002; Zhiwen Zhang 004; Zipei Fan; Renhe Jiang; Quanjun Chen; Xuan Song 001; Ryosuke Shibasaki (IEEE Trans. Vis. Comput. Graph., 2023)

Enhancing Privacy of Spatiotemporal Federated Learning Against Gradient Inversion Attacks. - Lele Zheng; Yang Cao 011; Renhe Jiang; Kenjiro Taura; Yulong Shen; Sheng Li 010; Masatoshi Yoshikawa (DASFAA (1), 2024)

Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned. - Du Yin; Jinliang Deng; Shuang Ao; Zechen Li; Hao Xue 001; Arian Prabowo; Renhe Jiang; Xuan Song 001; Flora D. Salim (SIGSPATIAL/GIS, 2024)

Instruction-Tuning Llama-3-8B Excels in City-Scale Mobility Prediction. - Peizhi Tang; Chuang Yang 002; Tong Xing; Xiaohang Xu 002; Renhe Jiang; Kaoru Sezaki (HuMob-Challenge@SIGSPATIAL, 2024)

Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection. - Feiyi Chen; Yingying Zhang; Zhen Qin 004; Lunting Fan; Renhe Jiang; Yuxuan Liang; Qingsong Wen; Shuiguang Deng (ICDE, 2024)

Community-Invariant Graph Contrastive Learning. - Shiyin Tan; Dongyuan Li; Renhe Jiang; Ying Zhang 065; Manabu Okumura (ICML, 2024)

Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning. - Jiewen Deng; Renhe Jiang; Jiaqi Zhang; Xuan Song 001 (IJCAI, 2024)

Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting. - Haotian Gao; Renhe Jiang; Zheng Dong 006; Jinliang Deng; Yuxin Ma; Xuan Song 001 (IJCAI, 2024)

Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting. - Zheng Dong 006; Renhe Jiang; Haotian Gao; Hangchen Liu; Jinliang Deng; Qingsong Wen; Xuan Song 001 (KDD, 2024)

Multimodal Low-light Image Enhancement with Depth Information. - Zhen Wang 004; Dongyuan Li; Guang Li 008; Ziqing Zhang; Renhe Jiang (ACM Multimedia, 2024)

Taming the Long Tail in Human Mobility Prediction. - Xiaohang Xu 002; Renhe Jiang; Chuang Yang 002; Zipei Fan; Kaoru Sezaki (NeurIPS, 2024)

Continuous Temporal Domain Generalization. - Zekun Cai; Guangji Bai; Renhe Jiang; Xuan Song 001; Liang Zhao 002 (NeurIPS, 2024)

Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation. - Jiawei Wang 005; Renhe Jiang; Chuang Yang 002; Zengqing Wu; Makoto Onizuka; Ryosuke Shibasaki; Noboru Koshizuka; Chuan Xiao 001 (NeurIPS, 2024)

Learning spatio-temporal dynamics on mobility networks for adaptation to open-world events. - Zhaonan Wang 001; Renhe Jiang; Hao Xue 001; Flora D. Salim; Xuan Song 001; Ryosuke Shibasaki; Wei Hu; Shaowen Wang 001 (Artif. Intell., 2024)

Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation. - Jiawei Wang 005; Renhe Jiang; Chuang Yang 002; Zengqing Wu; Makoto Onizuka; Ryosuke Shibasaki; Chuan Xiao 001 (CoRR, 2024)

DyG-Mamba: Continuous State Space Modeling on Dynamic Graphs. - Dongyuan Li; Shiyin Tan; Ying Zhang 065; Ming Jin 005; Shirui Pan; Manabu Okumura; Renhe Jiang (CoRR, 2024)

Robust Traffic Forecasting against Spatial Shift over Years. - Hongjun Wang 007; Jiyuan Chen; Tong Pan; Zheng Dong 006; Lingyu Zhang 001; Renhe Jiang; Xuan Song 001 (CoRR, 2024)

STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting. - Hongjun Wang 007; Jiyuan Chen; Tong Pan; Zheng Dong 006; Lingyu Zhang 001; Renhe Jiang; Xuan Song 001 (CoRR, 2024)

Diffusion Models in 3D Vision: A Survey. - Zhen Wang 004; Dongyuan Li; Renhe Jiang (CoRR, 2024)

Evaluating the Generalization Ability of Spatiotemporal Model in Urban Scenario. - Hongjun Wang 007; Jiyuan Chen; Tong Pan; Zheng Dong 006; Lingyu Zhang 001; Renhe Jiang; Xuan Song 001 (CoRR, 2024)

On Feature Decorrelation in Cloth-Changing Person Re-identification. - Hongjun Wang 007; Jiyuan Chen; Renhe Jiang; Xuan Song 001; Yinqiang Zheng (CoRR, 2024)

Extracting Spatiotemporal Data from Gradients with Large Language Models. - Lele Zheng; Yang Cao 011; Renhe Jiang; Kenjiro Taura; Yulong Shen; Sheng Li 010; Masatoshi Yoshikawa (CoRR, 2024)

Unveiling the Inflexibility of Adaptive Embedding in Traffic Forecasting. - Hongjun Wang 007; Jiyuan Chen; Lingyu Zhang 001; Renhe Jiang; Xuan Song 001 (CoRR, 2024)

Foundation Models for Information Retrieval and Knowledge Processing. - Shuo Shang; Renhe Jiang; Ryosuke Shibasaki; Rui Yan 001 (Data Intell., 2024)

Population Distribution Forecasting Based on the Fusion of Spatiotemporal Basic and External Features: A Case Study of Lujiazui Financial District. - Xianzhou Cheng; Xiaoming Wang; Renhe Jiang (ISPRS Int. J. Geo Inf., 2024)

Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting. - Jinliang Deng; Xiusi Chen; Renhe Jiang; Du Yin; Yi Yang 001; Xuan Song 001; Ivor W. Tsang (IEEE Trans. Knowl. Data Eng., 2024)

Introduction to the Special Issue on Machine Learning and Location Data: Part II. - Renhe Jiang; Flora D. Salim; Mohamed F. Mokbel (ACM Trans. Spatial Algorithms Syst., 2024)

TTS-Norm: Forecasting Tensor Time Series via Multi-Way Normalization. - Jiewen Deng; Jinliang Deng; Du Yin; Renhe Jiang; Xuan Song 001 (ACM Trans. Knowl. Discov. Data, 2024)

Forecasting Citywide Crowd Transition Process via Convolutional Recurrent Neural Networks. - Zekun Cai; Renhe Jiang; Xinlei Lian; Chuang Yang 002; Zhaonan Wang 001; Zipei Fan; Kota Tsubouchi; Hill Hiroki Kobayashi; Xuan Song 001; Ryosuke Shibasaki (IEEE Trans. Mob. Comput., 2024)

Anomalous Sub-Trajectory Detection With Graph Contrastive Self-Supervised Learning. - Xiangjie Kong 001; Hang Lin; Renhe Jiang; Guojiang Shen (IEEE Trans. Veh. Technol., 2024)

Hyper-relational knowledge graph neural network for next POI recommendation. - Jixiao Zhang; Yongkang Li 002; Ruotong Zou; Jingyuan Zhang; Renhe Jiang; Zipei Fan; Xuan Song 001 (World Wide Web (WWW), 2024)

Introduction to the Special Issue on Machine Learning and Location Data. - Renhe Jiang; Flora D. Salim; Mohamed F. Mokbel (ACM Trans. Spatial Algorithms Syst., 2024)

SIMformer: Single-Layer Vanilla Transformer Can Learn Free-Space Trajectory Similarity. - Chuang Yang 002; Renhe Jiang; Xiaohang Xu 002; Chuan Xiao 001; Kaoru Sezaki (Proc. VLDB Endow., 2024)

Towards Neural Scaling Laws for Time Series Foundation Models. - Qingren Yao; Chao-Han Huck Yang; Renhe Jiang; Yuxuan Liang; Ming Jin 005; Shirui Pan (ICLR, 2025)

CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events. - Xiaojie Yang; Hangli Ge; Jiawei Wang 005; Zipei Fan; Renhe Jiang; Ryosuke Shibasaki; Noboru Koshizuka (KDD (1), 2025)

Non-Homophilic Graph Pre-Training and Prompt Learning. - Xingtong Yu; Jie Zhang; Yuan Fang 001; Renhe Jiang (KDD (1), 2025)

A Unified Retrieval Framework with Document Ranking and EDU Filtering for Multi-document Summarization. - Shiyin Tan; Jaeeon Park; Dongyuan Li; Renhe Jiang; Manabu Okumura (SIGIR, 2025)

Revisiting Dynamic Graph Clustering via Matrix Factorization. - Dongyuan Li; Satoshi Kosugi; Ying Zhang 065; Manabu Okumura; Feng Xia 001; Renhe Jiang (WWW, 2025)

Seed: Bridging Sequence and Diffusion Models for Road Trajectory Generation. - Xuan Rao; Shuo Shang; Renhe Jiang; Peng Han 005; Lisi Chen 001 (WWW, 2025)

Continuous Sign Language Recognition With Multi-Scale Spatial-Temporal Feature Enhancement. - Zhen Wang 004; Dongyuan Li; Renhe Jiang; Manabu Okumura (IEEE Access, 2025)

Uncertainty-aware traffic accident risk prediction via multi-view hypergraph contrastive learning. - Yimei Zhang 003; Guojiang Shen; Wenyi Zhang; Kaili Ning; Renhe Jiang; Xiangjie Kong 001 (Inf. Fusion, 2025)

LiDAR-assisted image restoration for extreme low-light conditions. - Zhen Wang 004; Yaozu Wu; Dongyuan Li; Guang Li 008; Peide Zhu; Ziqing Zhang; Renhe Jiang (Knowl. Based Syst., 2025)

Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances. - Yaozu Wu; Dongyuan Li; Yankai Chen 001; Renhe Jiang; Henry Peng Zou; Liancheng Fang; Zhen Wang 004; Philip S. Yu (CoRR, 2025)

LAG: LLM agents for Leaderboard Auto Generation on Demanding. - Jian Wu 037; Jiayu Zhang; Dongyuan Li; Linyi Yang; Aoxiao Zhong; Renhe Jiang; Qingsong Wen; Yue Zhang 004 (CoRR, 2025)

Next Point-of-Interest Recommendation With Adaptive Graph Contrastive Learning. - Xuan Rao; Renhe Jiang; Shuo Shang; Lisi Chen 001; Peng Han 005; Bin Yao 002; Panos Kalnis (IEEE Trans. Knowl. Data Eng., 2025)

A Survey on Deep Active Learning: Recent Advances and New Frontiers. - Dongyuan Li; Zhen Wang 004; Yankai Chen 001; Renhe Jiang; Weiping Ding 001; Manabu Okumura (IEEE Trans. Neural Networks Learn. Syst., 2025)

A Survey on Large Language Model based Human-Agent Systems. - Henry Peng Zou; Wei-Chieh Huang; Yaozu Wu; Yankai Chen 001; Chunyu Miao; Hoang Nguyen; Yue Zhou; Weizhi Zhang 001; Liancheng Fang; Langzhou He; Yangning Li; Dongyuan Li; et al. (CoRR, 2025)

Continuous Domain Generalization. - Zekun Cai; Yiheng Yao; Guangji Bai; Renhe Jiang; Xuan Song 001; Ryosuke Shibasaki; Liang Zhao 002 (CoRR, 2025)

Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity. - Shiyin Tan; Dongyuan Li; Renhe Jiang; Zhen Wang 004; Xingtong Yu; Manabu Okumura (CoRR, 2025)

A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI Autonomy. - Henry Peng Zou; Wei-Chieh Huang; Yaozu Wu; Chunyu Miao; Dongyuan Li; Aiwei Liu; Yue Zhou; Yankai Chen 001; Weizhi Zhang 001; Yangning Li; Liancheng Fang; Renhe Jiang; et al. (CoRR, 2025)

Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs. - Yangning Li; Weizhi Zhang; Yuyao Yang; Wei-Chieh Huang; Yaozu Wu; Junyu Luo 002; Yuanchen Bei; Henry Peng Zou; Xiao Luo 001; Yusheng Zhao; Chunkit Chan; Yankai Chen 005; et al. (CoRR, 2025)

Traffic forecasting with patch-based graph convolutional recurrent network. - Xuan Rao; Shuo Shang; Renhe Jiang; Lisi Chen 001; Peng Han 005 (GeoInformatica, 2025)

Editorial High-Performance Recommender Systems Based on Spatiotemporal Data. - Shuo Shang; Qi Liu; Renhe Jiang; Ryosuke Shibasaki; Panos Kalnis; Christian S. Jensen (IEEE Trans. Big Data, 2025)