Publications

[Preprint papers] [Conference papers] [Journal papers]

Preprint papers

      1. A Crystal-Specific Pre-Training Framework for Crystal Material Property Prediction
        Haomin Yu, Yanru Song, Jilin Hu , Chenjuan Guo, and Bin Yang
        2023
          1. Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes
            Jilin Hu , Jianbing Shen, Bin Yang, and Ling Shao
            CoRR 2020
            1. Recurrent Multi-Graph Neural Networks for Travel Cost Prediction
              Jilin Hu , Chenjuan Guo, Bin Yang, Christian S. Jensen, and Lu Chen
              CoRR 2018

                Conference papers

                2025

                1. PVLDB’25
                  TAB: Unified Benchmarking of Time Series Anomaly Detection Methods
                  Xiangfei Qiu, Zhe Li, Wanghui Qiu, Shiyan Hu, Lekui Zhou, Xingjian Wu, Zhengyu Li, Chenjuan Guo, Aoying Zhou, Zhenli Sheng, Jilin Hu# , Christian S. Jensen, and Bin Yang
                  In PVLDB 2025
                2. KDD’25
                  SSD-TS: Exploring the potential of linear state space models for diffusion models in time series imputation
                  Hongfan Gao, Wangmeng Shen, Xiangfei Qiu, Ronghui Xu, Bin Yang, and Jilin Hu#
                  In KDD 2025
                3. KDD’25
                  FM4TS-Bench: A Comprehensive and Unified Benchmark of Foundation Models for Time Series Forecasting
                  Zhe Li, Xiangfei Qiu, Peng Chen, Yihang Wang, Hanyin Cheng, Yang Shu, Jilin Hu , Chenjuan Guo, Aoying Zhou, Christian S. Jensen, and Bin Yang
                  In KDD 2025
                4. ICML’25
                  K^2VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting
                  Xingjian Wu, Xiangfei Qiu, Hongfan Gao, Jilin Hu , Chenjuan Guo, and Bin Yang
                  In ICML 2025
                5. ICLR’25
                  CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching
                  Xingjian Wu, Xiangfei Qiu, Zhengyu Li, Yihang Wang, Jilin Hu , Chenjuan Guo, Hui Xiong, and Bin Yang
                  In ICLR 2025
                6. IJCAI’25
                  TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories
                  Zeyu Zhou, Yan Lin, Haomin Wen, Shengnan Guo, Jilin Hu , Youfang Lin, and Huaiyu Wan
                  In IJCAI 2025
                7. IJCAI’25
                  ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting
                  Haichen Wang, Liu Yang, Xinyuan Zhang, Haomin Yu, Ming Li, and Jilin Hu#
                  In IJCAI 2025
                8. ICDE’25
                  CDMap: Complementarity and Disparity-aware Map Inference Quality Enhancement
                  Wenyu Wu, Jiali Mao, Jiafan Liu, Yixiao Tong, Lisheng Zhao, Shaosheng Cao, Jilin Hu , Aoying Zhou, and Lin Zhou
                  In ICDE 2025
                9. KDD’25
                  DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting
                  Xiangfei Qiu, Xingjian Wu, Yan Lin, Chenjuan Guo, Jilin Hu# , and Bin Yang
                  In KDD 2025
                10. KDD’25
                  MM-Path: Multi-modal, Multi-granularity Path Representation Learning
                  Ronghui Xu, Hanyin Cheng, Chenjuan Guo, Hongfan Gao, Jilin Hu , Sean Bin Yang, and Bin Yang
                  In KDD 2025
                11. WWW’25
                  Path-LLM: A Multi-Modal Path Representation Learning by Aligning and Fusing with Large Language Models
                  Yongfu Wei, Yan Lin, Hongfan Gao, Ronghui Xu, Sean Bin Yang, and Jilin Hu#
                  In WWW 2025

                2024

                1. PKDD’24
                  A Crystal Knowledge-Enhanced Pre-training Framework for Crystal Property Estimation
                  Haomin Yu, Yanru Song, Jilin Hu , Chenjuan Guo, Bin Yang, and Christian S. Jensen
                  In ECML PKDD 2024, Vilnius, Lithuania 2024
                2. CIKM’24
                  Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models
                  Zhe Li, Ronghui Xu, Jilin Hu , Zhong Peng, Xi Lu, Chenjuan Guo, and Bin Yang
                  In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management 2024
                3. PVLDB’24
                  TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
                  Xiangfei Qiu, Jilin Hu# , Lekui Zhou, Xingjian Wu, Junyang Du, Buang Zhang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Zhenli Sheng, and Bin Yang
                  In PVLDB 2024
                4. SIGMOD’24
                  Origin-Destination Travel Time Oracle for Map-based Services
                  Yan Lin, Huaiyu Wan, Jilin Hu# , Shengnan Guo, Bin Yang, Youfang Lin, and Christian S. Jensen
                  In SIGMOD 2024
                5. ICDE
                  Learning Time-Aware Graph Structures for Spatially Correlated Time Series Forecasting
                  Minbo Ma, Jilin Hu , Christian S. Jensen, Fei Teng, Peng Han, Zhiqiang Xu, and Tianrui Li
                  In ICDE 2024
                6. ICDE
                  Routing with Massive Trajectory Data
                  Christian S. Jensen, Bin Yang, Chenjuan Guo, Jilin Hu , and Kristian Torp
                  In ICDE 2024

                2023

                1. KDD
                  LightPath: Lightweight and Scalable Path Representation Learning
                  Sean Bin Yang, Jilin Hu# , Chenjuan Guo, Bin Yang, and Christian S. Jensen
                  In KDD 2023

                2022

                1. ICDE
                  Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning - Extended Version
                  Sean Bin Yang, Chenjuan Guo, Jilin Hu# , Bin Yang, Jian Tang, and Christian S. Jensen
                  In ICDE 2022
                2. ICDE
                  Evolutionary Clustering of Streaming Trajectories
                  Tianyi Li, Lu Chen, Christian S. Jensen, Torben Bach Pedersen, and Jilin Hu
                  In ICDE 2022
                3. CVPR
                  BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule
                  Miao Zhang, Steven Su, Shirui Pan, Xiaojun Chang, Bin Yang, Jilin Hu , and Gholamreza Haffari
                  In CVPR 2022
                4. AAAI
                  Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems
                  Frederik Mathiesen, Bin Yang, and Jilin Hu#
                  In AAAI 2022

                2021

                1. IJCAI
                  Unsupervised Path Representation Learning with Curriculum Negative Sampling
                  Sean Bin Yang, Chenjuan Guo, Jilin Hu# , Jian Tang, and Bin Yang
                  In IJCAI 2021

                2020

                1. ICDE
                  Stochastic Origin-Destination Matrix Forecasting Using Dual-Stage Graph Convolutional, Recurrent Neural Networks
                  Jilin Hu , Bin Yang, Chenjuan Guo, Christian S. Jensen, and Hui Xiong
                  In ICDE 2020

                2019

                1. ICDE
                  Stochastic Weight Completion for Road Networks Using Graph Convolutional Networks
                  Jilin Hu , Chenjuan Guo, Bin Yang, and Christian S. Jensen
                  In ICDE 2019

                2018

                1. ICDE
                  Learning to Route with Sparse Trajectory Sets
                  Chenjuan Guo, Bin Yang, Jilin Hu , and Christian S. Jensen
                  In ICDE 2018

                2017

                1. MDM
                  Assessing the Accuracy Benefits of On-the-Fly Trajectory Selection in Fine-Grained Travel-Time Estimation
                  Robert Waury, Jilin Hu , Bin Yang, and Christian S. Jensen
                  In ICDE 2017

                2016

                1. PVLDB
                  Path Cost Distribution Estimation Using Trajectory Data
                  Jian Dai, Bin Yang, Chenjuan Guo, Christian S. Jensen, and Jilin Hu
                  In 2016

                Journal papers

                2025

                1. TKDE
                  UVTM: Universal Vehicle Trajectory Modeling with ST Feature Domain Generation
                  Yan Lin, Jilin Hu , Shengnan Guo, Bin Yang, Christian S. Jensen, Youfang Lin, and Huaiyu Wan
                  IEEE Trans. Knowl. Data Eng. 2025
                2. TKDE
                  STCDM: Spatio-Temporal Contrastive Diffusion Model for Check-In Sequence Generation
                  Letian Gong, Shengnan Guo, Yan Lin, Yichen Liu, Erwen Zheng, Yiwei Shuang, Youfang Lin, Jilin Hu , and Huaiyu Wan
                  IEEE Trans. Knowl. Data Eng. 2025

                2024

                1. Vis. Comput.
                  Multi-granularity attention in attention for person re-identification in aerial images
                  Simin Xu, Lingkun Luo, Haichao Hong, Jilin Hu , Bin Yang, and Shiqiang Hu
                  Vis. Comput. 2024
                2. VLDB J.
                  AutoCTS++: zero-shot joint neural architecture and hyperparameter search for correlated time series forecasting
                  Xinle Wu, Xingjian Wu, Bin Yang, Lekui Zhou, Chenjuan Guo, Xiangfei Qiu, Jilin Hu , Zhenli Sheng, and Christian S. Jensen
                  VLDB J. 2024
                3. TKDE
                  Pre-Training General Trajectory Embeddings With Maximum Multi-View Entropy Coding
                  Yan Lin, Huaiyu Wan, Shengnan Guo, Jilin Hu , Christian S. Jensen, and Youfang Lin
                  IEEE Trans. Knowl. Data Eng. 2024
                4. TNNLS
                  Few-Shot Object Detection With Self-Supervising and Cooperative Classifier
                  Di Qi, Jilin Hu# , and Jianbing Shen
                  IEEE TNNLS 2024
                5. VLDBJ
                  AutoCTS++: zero-shot joint neural architecture and hyperparameter search for correlated time series forecasting
                  Xinle Wu, Xingjian Wu, Bin Yang, Lekui Zhou, Chenjuan Guo, Xiangfei Qiu, Jilin Hu# , Zhenli Sheng, and Christian S. Jensen
                  VLDB J. 2024

                2023

                1. TKDE
                  CGF: A Category Guidance Based PM_2.5 Sequence Forecasting Training Framework
                  Haomin Yu, Jilin Hu , Xinyuan Zhou, Chenjuan Guo, Bin Yang, and Qingyong Li
                  IEEE TKDE 2023

                2022

                1. KBS
                  Semantic driven attention network with attribute learning for unsupervised person re-identification
                  Simin Xu, Lingkun Luo, Jilin Hu , Bin Yang, and Shiqiang Hu
                  Knowledge-Based Systems 2022
                2. ISs
                  Residual memory inference network for regression tracking with weighted gradient harmonized loss
                  Huanlong Zhang, Jiapeng Zhang, Guohao Nie, Jilin Hu# , and W.J. (Chris) Zhang
                  Information Sciences 2022
                3. KBS
                  Semantic driven attention network with attribute learning for unsupervised person re-identification
                  Simin Xu, Lingkun Luo, Jilin Hu , Bin Yang, and Shiqiang Hu
                  Knowledge-Based Systems 2022

                2021

                1. TKDE
                  SOUP: Spatial-Temporal Demand Forecasting and Competitive Supply
                  Bolong Zheng, Qi Hu, Lingfeng Ming, Jilin Hu , Lu Chen, Kai Zheng, and Christian S. Jensen
                  IEEE TKDE 2021
                2. TKDE
                  Sequence Labeling with Meta-Learning
                  Jing Li, Peng Han, Xiangnan Ren, Jilin Hu , Lisi Chen, and Shuo Shang
                  IEEE Transactions on Knowledge and Data Engineering 2021
                3. NCA
                  Performance evaluation of low resolution visual tracking for unmanned aerial vehicles
                  Yong Wang, Xian Wei, Hao Shen, Jilin Hu , and Lingkun Luo
                  Neural Comput. Appl. 2021

                2020

                1. VLDBJ
                  Context-aware, preference-based vehicle routing
                  Chenjuan Guo, Bin Yang, Jilin Hu , Christian S. Jensen, and Lu Chen
                  VLDB J. 2020

                2019

                  2018

                  1. VLDBJ
                    PACE: a PAth-CEntric paradigm for stochastic path finding
                    Bin Yang, Jian Dai, Chenjuan Guo, Christian S. Jensen, and Jilin Hu
                    VLDB J. 2018
                  2. VLDBJ
                    Risk-aware path selection with time-varying, uncertain travel costs: a time series approach
                    Jilin Hu , Bin Yang, Chenjuan Guo, and Christian S. Jensen
                    VLDB J. 2018

                  2017

                  1. GeoInformatica
                    Enabling time-dependent uncertain eco-weights for road networks
                    Jilin Hu , Bin Yang, Christian S. Jensen, and Yu Ma
                    GeoInformatica 2017

                  2016