Jilin Hu

118 papers A* 24A 3B 1Journal 82Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
AMShortcut: An Inference- and Training-Efficient Inverse Design Model for Amorphous Materials.
CoRR
Yan Lin, Jonas A. Finkler, Tao Du, Jilin Hu, Morten M. Smedskjaer
2026 J jnl
Bridging Time and Frequency: A Joint Modeling Framework for Irregular Multivariate Time Series Forecasting.
CoRR
Xiangfei Qiu, Kangjia Yan, Xvyuan Liu, Xingjian Wu, Jilin Hu
2026 J jnl
DiSGMM: A Method for Time-varying Microscopic Weight Completion on Road Networks.
CoRR
Yan Lin, Jilin Hu, Shengnan Guo, Christian S. Jensen, Youfang Lin, Huaiyu Wan
2026 A* conf
DiffMM: Efficient Method for Accurate Noisy and Sparse Trajectory Map Matching via One Step Diffusion.
AAAI
Chenxu Han, Sean Bin Yang, Jilin Hu
2026 J jnl
DiffMM: Efficient Method for Accurate Noisy and Sparse Trajectory Map Matching via One Step Diffusion.
CoRR
Chenxu Han, Sean Bin Yang, Jilin Hu
2026 A* conf
FSDI: Frequency-Shaped Diffusion For Time-Series Imputation.
WWW
Wangmeng Shen, Hongfan Gao, Qingsong Zhong, Dingli Xu, Jilin Hu
2026 J jnl
GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables.
CoRR
Zhengyu Li, Xiangfei Qiu, Yuhan Zhu, Xingjian Wu, Jilin Hu, Chenjuan Guo, Bin Yang
2026 J jnl
MEMTS: Internalizing Domain Knowledge via Parameterized Memory for Retrieval-Free Domain Adaptation of Time Series Foundation Models.
CoRR
Xiaoyun Yu, Li Fan, Xiangfei Qiu, Nanqing Dong, Yonggui Huang, Honggang Qi, Geguang Pu, Wanli Ouyang, Xi Chen, Jilin Hu
2026 A* conf
Rethinking Irregular Time Series Forecasting: A Simple Yet Effective Baseline.
AAAI
Xvyuan Liu, Xiangfei Qiu, Xingjian Wu, Zhengyu Li, Chenjuan Guo, Jilin Hu, Bin Yang
2026 J jnl
SEER: Transformer-based Robust Time Series Forecasting via Automated Patch Enhancement and Replacement.
CoRR
Xiangfei Qiu, Xvyuan Liu, Tianen Shen, Xingjian Wu, Hanyin Cheng, Bin Yang, Jilin Hu
2026 J jnl
ST-EVO: Towards Generative Spatio-Temporal Evolution of Multi-Agent Communication Topologies.
CoRR
Xingjian Wu, Xvyuan Liu, Junkai Lu, Siyuan Wang, Xiangfei Qiu, Yang Shu, Jilin Hu, Chenjuan Guo, Bin Yang
2026 A* conf
SculptDrug: A Spatial Condition-Aware Bayesian Flow Model for Structure-based Drug Design.
AAAI
Qingsong Zhong, Haomin Yu, Yan Lin, Wangmeng Shen, Long Zeng, Jilin Hu
2026 J jnl
SparseLight: Dynamic gradient-optimized softmax for efficient transformer acceleration.
Knowl. Based Syst.
Kai Zhang, Chaoxiang Lan, Yazhang Xu, Zheyang Li, Wenming Tan, Ye Ren, Jilin Hu
2026 A* conf
Spatial-Temporal Feedback Diffusion Guidance for Controlled Traffic Imputation.
AAAI
Xiaowei Mao, Huihu Ding, Yan Lin, Tingrui Wu, Shengnan Guo, Dazhuo Qiu, Feiling Fang, Jilin Hu, Huaiyu Wan
2026 J jnl
Spatial-Temporal Feedback Diffusion Guidance for Controlled Traffic Imputation.
CoRR
Xiaowei Mao, Huihu Ding, Yan Lin, Tingrui Wu, Shengnan Guo, Dazhuo Qiu, Feiling Fang, Jilin Hu, Huaiyu Wan
2026 J jnl
TimeART: Towards Agentic Time Series Reasoning via Tool-Augmentation.
CoRR
Xingjian Wu, Junkai Lu, Zhe Li, Xiangfei Qiu, Jilin Hu, Chenjuan Guo, Christian S. Jensen, Bin Yang
2026 A* conf
TimeMar: Multi-Scale Autoregressive Modeling for Unconditional Time Series Generation.
WWW
Xiangyu Xu, Qingsong Zhong, Jilin Hu
2026 J jnl
TimeMar: Multi-Scale Autoregressive Modeling for Unconditional Time Series Generation.
CoRR
Xiangyu Xu, Qingsong Zhong, Jilin Hu
2026 J jnl
Towards Real-World Industrial-Scale Verification: LLM-Driven Theorem Proving on seL4.
CoRR
Jianyu Zhang, Fuyuan Zhang, Jiayi Lu, Jilin Hu, Xiaoyi Yin, Long Zhang, Feng Yang, Yongwang Zhao
2025 J jnl
1+1>2: A Synergistic Sparse and Low-Rank Compression Method for Large Language Models.
CoRR
Zeliang Zong, Kai Zhang, Zheyang Li, Wenming Tan, Ye Ren, Yiyan Zhai, Jilin Hu
2025 — conf
1+1\ensuremath>2: A Synergistic Sparse and Low-Rank Compression Method for Large Language Models.
EMNLP (Findings)
Zeliang Zong, Kai Zhang, Zheyang Li, Wenming Tan, Ye Ren, Yiyan Zhai, Jilin Hu
2025 J jnl
A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective.
CoRR
Xiangfei Qiu, Hanyin Cheng, Xingjian Wu, Jilin Hu, Chenjuan Guo
2025 A* conf
ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting.
IJCAI
Haichen Wang, Liu Yang, Xinyuan Zhang, Haomin Yu, Ming Li, Jilin Hu
2025 J jnl
ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting.
CoRR
Haichen Wang, Liu Yang, Xinyuan Zhang, Haomin Yu, Ming Li, Jilin Hu
2025 J jnl
ASTGI: Adaptive Spatio-Temporal Graph Interactions for Irregular Multivariate Time Series Forecasting.
CoRR
Xvyuan Liu, Xiangfei Qiu, Hanyin Cheng, Xingjian Wu, Chenjuan Guo, Bin Yang, Jilin Hu
2025 J jnl
An Encode-then-Decompose Approach to Unsupervised Time Series Anomaly Detection on Contaminated Training Data-Extended Version.
CoRR
Buang Zhang, Tung Kieu, Xiangfei Qiu, Chenjuan Guo, Jilin Hu, Aoying Zhou, Christian S. Jensen, Bin Yang
2025 — conf
Beyond Dynamic Quantization: An Efficient Static Hierarchical Mix-precision Framework for Near-Lossless LLM Compression.
EMNLP (Industry Track)
Yi Zhang, Kai Zhang, Zheyang Li, Wenming Tan, Ye Ren, Jilin Hu
2025 A* conf
CATCH: Channel-Aware Multivariate Time Series Anomaly Detection via Frequency Patching.
ICLR
Xingjian Wu, Xiangfei Qiu, Zhengyu Li, Yihang Wang, Jilin Hu, Chenjuan Guo, Hui Xiong, Bin Yang
2025 A* conf
CDMap: Complementarity and Disparity-aware Map Inference Quality Enhancement.
ICDE
Wenyu Wu, Jiali Mao, Jiafan Liu, Yixiao Tong, Lisheng Zhao, Shaosheng Cao, Jilin Hu, Aoying Zhou, Lin Zhou
2025 J jnl
DAG: A Dual Causal Network for Time Series Forecasting with Exogenous Variables.
CoRR
Xiangfei Qiu, Yuhan Zhu, Zhengyu Li, Hanyin Cheng, Xingjian Wu, Chenjuan Guo, Bin Yang, Jilin Hu
2025 J jnl
DBLoss: Decomposition-based Loss Function for Time Series Forecasting.
CoRR
Xiangfei Qiu, Xingjian Wu, Hanyin Cheng, Xvyuan Liu, Chenjuan Guo, Jilin Hu, Bin Yang
2025 — conf
DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting.
KDD (1)
Xiangfei Qiu, Xingjian Wu, Yan Lin, Chenjuan Guo, Jilin Hu, Bin Yang
2025 A* conf
EasyTime: Time Series Forecasting Made Easy.
ICDE
Xiangfei Qiu, Xiuwen Li, Ruiyang Pang, Zhicheng Pan, Xingjian Wu, Liu Yang, Jilin Hu, Yang Shu, Xuesong Lu, Chengcheng Yang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Bin Yang
2025 J jnl
Enhancing Time Series Forecasting through Selective Representation Spaces: A Patch Perspective.
CoRR
Xingjian Wu, Xiangfei Qiu, Hanyin Cheng, Zhengyu Li, Jilin Hu, Chenjuan Guo, Bin Yang
2025 J jnl
FLAME: Flow Enhanced Legendre Memory Models for General Time Series Forecasting.
CoRR
Xingjian Wu, Hanyin Cheng, Xiangfei Qiu, Zhengyu Li, Jilin Hu, Chenjuan Guo, Bin Yang
2025 J jnl
HybridProver: Augmenting Theorem Proving with LLM-Driven Proof Synthesis and Refinement.
CoRR
Jilin Hu, Jianyu Zhang, Yongwang Zhao, Talia Ringer
2025 J jnl
K
CoRR
Xingjian Wu, Xiangfei Qiu, Hongfan Gao, Jilin Hu, Bin Yang, Chenjuan Guo
2025 A* conf
K2VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting.
ICML
Xingjian Wu, Xiangfei Qiu, Hongfan Gao, Jilin Hu, Bin Yang, Chenjuan Guo
2025 — conf
MM-Path: Multi-modal, Multi-granularity Path Representation Learning.
KDD (1)
Ronghui Xu, Hanyin Cheng, Chenjuan Guo, Hongfan Gao, Jilin Hu, Sean Bin Yang, Bin Yang
2025 J jnl
Multi-Scale Spatial-Temporal Hypergraph Network with Lead-Lag Structures for Stock Time Series Forecasting.
CoRR
Xiangfei Qiu, Liu Yang, Hanyin Cheng, Xingjian Wu, Rongjia Wu, Zhigang Zhang, Ding Tu, Chenjuan Guo, Bin Yang, Christian S. Jensen, Jilin Hu
2025 A conf
NeuroLoc: Encoding Navigation Cells for 6-DOF Camera Localization.
IROS
Xun Li, Jian Yang, Fenli Jia, Muyu Wang, Jun Wu, Jinpeng Mi, Jilin Hu, Peidong Liang, Xuan Tang, Ke Li, Xiong You, Xian Wei
2025 J jnl
NeuroLoc: Encoding Navigation Cells for 6-DOF Camera Localization.
CoRR
Xun Li, Jian Yang, Fenli Jia, Muyu Wang, Qi Wu, Jun Wu, Jinpeng Mi, Jilin Hu, Peidong Liang, Xuan Tang, Ke Li, Xiong You, Xian Wei
2025 A* conf
Path-LLM: A Multi-Modal Path Representation Learning by Aligning and Fusing with Large Language Models.
WWW
Yongfu Wei, Yan Lin, Hongfan Gao, Ronghui Xu, Sean Bin Yang, Jilin Hu
2025 J jnl
Psychometric-Based Evaluation for Theorem Proving with Large Language Models.
CoRR
Jianyu Zhang, Yongwang Zhao, Long Zhang, Jilin Hu, Xiaokun Luan, Zhiwei Xu, Feng Yang
2025 J jnl
Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline.
CoRR
Xvyuan Liu, Xiangfei Qiu, Xingjian Wu, Zhengyu Li, Chenjuan Guo, Jilin Hu, Bin Yang
2025 — conf
SSD-TS: Exploring the Potential of Linear State Space Models for Diffusion Models in Time Series Imputation.
KDD (2)
Hongfan Gao, Wangmeng Shen, Xiangfei Qiu, Ronghui Xu, Bin Yang, Jilin Hu
2025 J jnl
STCDM: Spatio-Temporal Contrastive Diffusion Model for Check-In Sequence Generation.
IEEE Trans. Knowl. Data Eng.
Letian Gong, Shengnan Guo, Yan Lin, Yichen Liu, Erwen Zheng, Yiwei Shuang, Youfang Lin, Jilin Hu, Huaiyu Wan
2025 J jnl
SculptDrug : A Spatial Condition-Aware Bayesian Flow Model for Structure-based Drug Design.
CoRR
Qingsong Zhong, Haomin Yu, Yan Lin, Wangmeng Shen, Long Zeng, Jilin Hu
2025 J jnl
Spatio-Temporal Trajectory Foundation Model - Recent Advances and Future Directions.
CoRR
Sean Bin Yang, Ying Sun, Yunyao Cheng, Yan Lin, Kristian Torp, Jilin Hu
2025 J jnl
TAB: Unified Benchmarking of Time Series Anomaly Detection Methods.
CoRR
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, Bin Yang
2025 J jnl
TAB: Unified Benchmarking of Time Series Anomaly Detection Methods.
Proc. VLDB Endow.
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, Bin Yang
2025 — conf
TSFM-Bench: A Comprehensive and Unified Benchmark of Foundation Models for Time Series Forecasting.
KDD (2)
Zhe Li, Xiangfei Qiu, Peng Chen, Yihang Wang, Hanyin Cheng, Yang Shu, Jilin Hu, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Bin Yang
2025 J jnl
Tacco: A Framework for Ensuring the Security of Real-World TEEs via Formal Verification.
IEEE Trans. Dependable Secur. Comput.
Jilin Hu, Yongwang Zhao, Shuangquan Pan, Zuohua Ding, Kui Ren
2025 A* conf
TrajCogn: Leveraging LLMs for Cognizing Movement Patterns and Travel Purposes from Trajectories.
IJCAI
Zeyu Zhou, Yan Lin, Haomin Wen, Shengnan Guo, Jilin Hu, Youfang Lin, Huaiyu Wan
2025 J jnl
TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability.
CoRR
Tonglong Wei, Yan Lin, Zeyu Zhou, Haomin Wen, Jilin Hu, Shengnan Guo, Youfang Lin, Gao Cong, Huaiyu Wan
2025 J jnl
UVTM: Universal Vehicle Trajectory Modeling With ST Feature Domain Generation.
IEEE Trans. Knowl. Data Eng.
Yan Lin, Jilin Hu, Shengnan Guo, Bin Yang, Christian S. Jensen, Youfang Lin, Huaiyu Wan
2025 J jnl
Unlocking the Power of Mixture-of-Experts for Task-Aware Time Series Analytics.
CoRR
Xingjian Wu, Zhengyu Li, Hanyin Cheng, Xiangfei Qiu, Jilin Hu, Chenjuan Guo, Bin Yang
2025 — conf
VisitFrequency-Diffusion: Leveraging Recurrent Visits for Long-Term Individual Trajectory Forecasting.
SIGSPATIAL/GIS
Ziyan Yang, Shuhui Gong, Xinqi Liu, Jiahao Lv, Changjian Liu, Jilin Hu, Hongbin Pei
2024 — conf
A Crystal Knowledge-Enhanced Pre-training Framework for Crystal Property Estimation.
ECML/PKDD (10)
Haomin Yu, Yanru Song, Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen
2024 J jnl
AutoCTS++: zero-shot joint neural architecture and hyperparameter search for correlated time series forecasting.
VLDB J.
Xinle Wu, Xingjian Wu, Bin Yang, Lekui Zhou, Chenjuan Guo, Xiangfei Qiu, Jilin Hu, Zhenli Sheng, Christian S. Jensen
2024 J jnl
CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching.
CoRR
Xingjian Wu, Xiangfei Qiu, Zhengyu Li, Yihang Wang, Jilin Hu, Chenjuan Guo, Hui Xiong, Bin Yang
2024 J jnl
DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting.
CoRR
Xiangfei Qiu, Xingjian Wu, Yan Lin, Chenjuan Guo, Jilin Hu, Bin Yang
2024 J jnl
DiffImp: Efficient Diffusion Model for Probabilistic Time Series Imputation with Bidirectional Mamba Backbone.
CoRR
Hongfan Gao, Wangmeng Shen, Xiangfei Qiu, Ronghui Xu, Jilin Hu, Bin Yang
2024 J jnl
EasyTime: Time Series Forecasting Made Easy.
CoRR
Xiangfei Qiu, Xiuwen Li, Ruiyang Pang, Zhicheng Pan, Xingjian Wu, Liu Yang, Jilin Hu, Yang Shu, Xuesong Lu, Chengcheng Yang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Bin Yang
2024 J jnl
Editorial: Rising stars in data mining and management 2022.
Frontiers Big Data
Feng Chen, Shuhan Yuan, Jilin Hu, Cheng-Te Li, Rudy Raymond, Lidan Shou
2024 J jnl
Few-Shot Object Detection With Self-Supervising and Cooperative Classifier.
IEEE Trans. Neural Networks Learn. Syst.
Di Qi, Jilin Hu, Jianbing Shen
2024 J jnl
FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for Time Series Forecasting.
CoRR
Zhe Li, Xiangfei Qiu, Peng Chen, Yihang Wang, Hanyin Cheng, Yang Shu, Jilin Hu, Chenjuan Guo, Aoying Zhou, Qingsong Wen, Christian S. Jensen, Bin Yang
2024 J jnl
GTM: General Trajectory Modeling with Auto-regressive Generation of Feature Domains.
CoRR
Yan Lin, Jilin Hu, Shengnan Guo, Bin Yang, Christian S. Jensen, Youfang Lin, Huaiyu Wan
2024 A* conf
Learning Time-Aware Graph Structures for Spatially Correlated Time Series Forecasting.
ICDE
Minbo Ma, Jilin Hu, Christian S. Jensen, Fei Teng, Peng Han, Zhiqiang Xu, Tianrui Li
2024 J jnl
MM-Path: Multi-modal, Multi-granularity Path Representation Learning - Extended Version.
CoRR
Ronghui Xu, Hanyin Cheng, Chenjuan Guo, Hongfan Gao, Jilin Hu, Sean Bin Yang, Bin Yang
2024 J jnl
Multi-granularity attention in attention for person re-identification in aerial images.
Vis. Comput.
Simin Xu, Lingkun Luo, Haichao Hong, Jilin Hu, Bin Yang, Shiqiang Hu
2024 J jnl
MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast.
CoRR
Shiyan Hu, Kai Zhao, Xiangfei Qiu, Yang Shu, Jilin Hu, Bin Yang, Chenjuan Guo
2024 A conf
Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models.
CIKM
Zhe Li, Ronghui Xu, Jilin Hu, Zhong Peng, Xi Lu, Chenjuan Guo, Bin Yang
2024 J jnl
Orca: Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models.
CoRR
Zhe Li, Ronghui Xu, Jilin Hu, Zhong Peng, Xi Lu, Chenjuan Guo, Bin Yang
2024 J jnl
PLM4Traj: Cognizing Movement Patterns and Travel Purposes from Trajectories with Pre-trained Language Models.
CoRR
Zeyu Zhou, Yan Lin, Haomin Wen, Shengnan Guo, Jilin Hu, Youfang Lin, Huaiyu Wan
2024 J jnl
PTR: A Pre-trained Language Model for Trajectory Recovery.
CoRR
Tonglong Wei, Yan Lin, Youfang Lin, Shengnan Guo, Jilin Hu, Gao Cong, Huaiyu Wan
2024 J jnl
Pre-Training General Trajectory Embeddings With Maximum Multi-View Entropy Coding.
IEEE Trans. Knowl. Data Eng.
Yan Lin, Huaiyu Wan, Shengnan Guo, Jilin Hu, Christian S. Jensen, Youfang Lin
2024 J jnl
ProveriT: A Parameterized, Composable, and Verified Model of TEE Protection Profile.
IEEE Trans. Dependable Secur. Comput.
Jilin Hu, Fanlang Zeng, Yongwang Zhao, Zhuoruo Zhang, Leping Zhang, Jianhong Zhao, Rui Chang, Kui Ren
2024 A* conf
Routing with Massive Trajectory Data.
ICDE
Christian S. Jensen, Bin Yang, Chenjuan Guo, Jilin Hu, Kristian Torp
2024 J jnl
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods.
CoRR
Xiangfei Qiu, Jilin Hu, Lekui Zhou, Xingjian Wu, Junyang Du, Buang Zhang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Zhenli Sheng, Bin Yang
2024 J jnl
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods.
Proc. VLDB Endow.
Xiangfei Qiu, Jilin Hu, Lekui Zhou, Xingjian Wu, Junyang Du, Buang Zhang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Zhenli Sheng, Bin Yang
2024 J jnl
TrajFM: A Vehicle Trajectory Foundation Model for Region and Task Transferability.
CoRR
Yan Lin, Tonglong Wei, Zeyu Zhou, Haomin Wen, Jilin Hu, Shengnan Guo, Youfang Lin, Huaiyu Wan
2023 J jnl
A Crystal-Specific Pre-Training Framework for Crystal Material Property Prediction.
CoRR
Haomin Yu, Yanru Song, Jilin Hu, Chenjuan Guo, Bin Yang
2023 J jnl
A Summary of ICDE 2022 Research Session Panels.
IEEE Data Eng. Bull.
Zhifeng Bao, Panagiotis Bouros, Reynold Cheng, Byron Choi, Anton Dignös, Wei Ding, Yixiang Fang, Boyang Han, Jilin Hu, Arijit Khan, Wenqing Lin, Xuemin Lin, Cheng Long, Nikos Mamoulis, Jian Pei, Matthias Renz, Shashi Shekhar, Jieming Shi, Eleni Tzirita Zacharatou, Sibo Wang, Xiao Wang, Xue Wang, Raymond Chi-Wing Wong, Da Yan, Xifeng Yan, Bin Yang, Dezhong Yao, Ce Zhang, Peilin Zhao, Rong Zhu
2023 J jnl
CGF: A Category Guidance Based PM$_{2.5}$ Sequence Forecasting Training Framework.
IEEE Trans. Knowl. Data Eng.
Haomin Yu, Jilin Hu, Xinyuan Zhou, Chenjuan Guo, Bin Yang, Qingyong Li
2023 J jnl
Learning Time-aware Graph Structures for Spatially Correlated Time Series Forecasting.
CoRR
Minbo Ma, Jilin Hu, Christian S. Jensen, Fei Teng, Peng Han, Zhiqiang Xu, Tianrui Li
2023 A* conf
LightPath: Lightweight and Scalable Path Representation Learning.
KDD
Sean Bin Yang, Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen
2023 J jnl
LightPath: Lightweight and Scalable Path Representation Learning.
CoRR
Sean Bin Yang, Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen
2023 J jnl
Origin-Destination Travel Time Oracle for Map-based Services.
CoRR
Yan Lin, Huaiyu Wan, Jilin Hu, Shengnan Guo, Bin Yang, Youfang Lin, Christian S. Jensen
2023 J jnl
Origin-Destination Travel Time Oracle for Map-based Services.
Proc. ACM Manag. Data
Yan Lin, Huaiyu Wan, Jilin Hu, Shengnan Guo, Bin Yang, Youfang Lin, Christian S. Jensen
2023 J jnl
SOUP: Spatial-Temporal Demand Forecasting and Competitive Supply in Transportation.
IEEE Trans. Knowl. Data Eng.
Bolong Zheng, Qi Hu, Lingfeng Ming, Jilin Hu, Lu Chen, Kai Zheng, Christian S. Jensen
2023 J jnl
Sequence Labeling With Meta-Learning.
IEEE Trans. Knowl. Data Eng.
Jing Li, Peng Han, Xiangnan Ren, Jilin Hu, Lisi Chen, Shuo Shang
2023 A conf
VeriReach: A Formally Verified Algorithm for Reachability Analysis in Virtual Private Cloud Networks.
ICWS
Zhuoruo Zhang, Jilin Hu, Chenyang Yu, Rui Chang, Yongwang Zhao
2022 A* conf
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule.
CVPR
Miao Zhang, Shirui Pan, Xiaojun Chang, Steven Su, Jilin Hu, Gholamreza Haffari, Bin Yang
2022 A* conf
Evolutionary Clustering of Moving Objects.
ICDE
Tianyi Li, Lu Chen, Christian S. Jensen, Torben Bach Pedersen, Yunjun Gao, Jilin Hu
2022 A* conf
Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems.
AAAI
Frederik Baymler Mathiesen, Bin Yang, Jilin Hu
2022 J jnl
Residual memory inference network for regression tracking with weighted gradient harmonized loss.
Inf. Sci.
Huanlong Zhang, Jiapeng Zhang, Guohao Nie, Jilin Hu, Wenjun Chris Zhang
2022 J jnl
Semantic driven attention network with attribute learning for unsupervised person re-identification.
Knowl. Based Syst.
Simin Xu, Lingkun Luo, Jilin Hu, Bin Yang, Shiqiang Hu
2022 J jnl
Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning - Extended Version.
CoRR
Sean Bin Yang, Chenjuan Guo, Jilin Hu, Bin Yang, Jian Tang, Christian S. Jensen
2022 A* conf
Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning.
ICDE
Sean Bin Yang, Chenjuan Guo, Jilin Hu, Bin Yang, Jian Tang, Christian S. Jensen
2021 J jnl
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule.
CoRR
Miao Zhang, Jilin Hu, Steven Su, Shirui Pan, Xiaojun Chang, Bin Yang, Gholamreza Haffari
2021 J jnl
Evolutionary Clustering of Streaming Trajectories.
CoRR
Tianyi Li, Lu Chen, Christian S. Jensen, Torben Bach Pedersen, Jilin Hu
2021 J jnl
Performance evaluation of low resolution visual tracking for unmanned aerial vehicles.
Neural Comput. Appl.
Yong Wang, Xian Wei, Hao Shen, Jilin Hu, Lingkun Luo
2021 A* conf
Unsupervised Path Representation Learning with Curriculum Negative Sampling.
IJCAI
Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang
2021 J jnl
Unsupervised Path Representation Learning with Curriculum Negative Sampling.
CoRR
Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang
2020 J jnl
Context-aware, preference-based vehicle routing.
VLDB J.
Chenjuan Guo, Bin Yang, Jilin Hu, Christian S. Jensen, Lu Chen
2020 J jnl
Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes.
CoRR
Jilin Hu, Jianbing Shen, Bin Yang, Ling Shao
2020 J jnl
Spatial-Temporal Demand Forecasting and Competitive Supply via Graph Convolutional Networks.
CoRR
Bolong Zheng, Qi Hu, Lingfeng Ming, Jilin Hu, Lu Chen, Kai Zheng, Christian S. Jensen
2020 A* conf
Stochastic Origin-Destination Matrix Forecasting Using Dual-Stage Graph Convolutional, Recurrent Neural Networks.
ICDE
Jilin Hu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Hui Xiong
2019 A* conf
Stochastic Weight Completion for Road Networks Using Graph Convolutional Networks.
ICDE
Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen
2018 J jnl
Learning to Route with Sparse Trajectory Sets - Extended Version.
CoRR
Chenjuan Guo, Bin Yang, Jilin Hu, Christian S. Jensen
2018 A* conf
Learning to Route with Sparse Trajectory Sets.
ICDE
Chenjuan Guo, Bin Yang, Jilin Hu, Christian S. Jensen
2018 J jnl
PACE: a PAth-CEntric paradigm for stochastic path finding.
VLDB J.
Bin Yang, Jian Dai, Chenjuan Guo, Christian S. Jensen, Jilin Hu
2018 J jnl
Recurrent Multi-Graph Neural Networks for Travel Cost Prediction.
CoRR
Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen, Lu Chen
2018 J jnl
Risk-aware path selection with time-varying, uncertain travel costs: a time series approach.
VLDB J.
Jilin Hu, Bin Yang, Chenjuan Guo, Christian S. Jensen
2017 B conf
Assessing the Accuracy Benefits of On-the-Fly Trajectory Selection in Fine-Grained Travel-Time Estimation.
MDM
Robert Waury, Jilin Hu, Bin Yang, Christian S. Jensen
2017 J jnl
Enabling time-dependent uncertain eco-weights for road networks.
GeoInformatica
Jilin Hu, Bin Yang, Christian S. Jensen, Yu Ma
2016 J jnl
Path Cost Distribution Estimation Using Trajectory Data.
Proc. VLDB Endow.
Jian Dai, Bin Yang, Chenjuan Guo, Christian S. Jensen, Jilin Hu