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2020 – today
- 2024
[j20]Feng Chen, Shuhan Yuan, Jilin Hu
, Cheng-Te Li, Rudy Raymond, Lidan Shou:
Editorial: Rising stars in data mining and management 2022. Frontiers Big Data 6 (2024)- [j19]Xiangfei Qiu, Jilin Hu, Lekui Zhou, Xingjian Wu, Junyang Du, Buang Zhang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Zhenli Sheng, Bin Yang:
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods. Proc. VLDB Endow. 17(9): 2363-2377 (2024) - [j18]Jilin Hu, Fanlang Zeng, Yongwang Zhao, Zhuoruo Zhang, Leping Zhang, Jianhong Zhao, Rui Chang, Kui Ren:
ProveriT: A Parameterized, Composable, and Verified Model of TEE Protection Profile. IEEE Trans. Dependable Secur. Comput. 21(6): 5341-5358 (2024) - [j17]Yan Lin, Huaiyu Wan, Shengnan Guo, Jilin Hu, Christian S. Jensen, Youfang Lin:
Pre-Training General Trajectory Embeddings With Maximum Multi-View Entropy Coding. IEEE Trans. Knowl. Data Eng. 36(12): 9037-9050 (2024) - [j16]Di Qi, Jilin Hu, Jianbing Shen:
Few-Shot Object Detection With Self-Supervising and Cooperative Classifier. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5435-5446 (2024) - [j15]Simin Xu, Lingkun Luo, Haichao Hong, Jilin Hu, Bin Yang, Shiqiang Hu:
Multi-granularity attention in attention for person re-identification in aerial images. Vis. Comput. 40(6): 4149-4166 (2024) - [j14]Xinle Wu, Xingjian Wu, Bin Yang, Lekui Zhou, Chenjuan Guo, Xiangfei Qiu, Jilin Hu, Zhenli Sheng, Christian S. Jensen:
AutoCTS++: zero-shot joint neural architecture and hyperparameter search for correlated time series forecasting. VLDB J. 33(5): 1743-1770 (2024) - [c15]Zhe Li, Ronghui Xu, Jilin Hu, Zhong Peng, Xi Lu, Chenjuan Guo, Bin Yang:
Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models. CIKM 2024: 3892-3896 - [c14]Minbo Ma, Jilin Hu, Christian S. Jensen, Fei Teng, Peng Han, Zhiqiang Xu, Tianrui Li:
Learning Time-Aware Graph Structures for Spatially Correlated Time Series Forecasting. ICDE 2024: 4435-4448 - [c13]Christian S. Jensen, Bin Yang, Chenjuan Guo, Jilin Hu, Kristian Torp:
Routing with Massive Trajectory Data. ICDE 2024: 5542-5547 - [c12]Haomin Yu, Yanru Song, Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen:
A Crystal Knowledge-Enhanced Pre-training Framework for Crystal Property Estimation. ECML/PKDD (10) 2024: 231-246 - [i22]Yan Lin, Jilin Hu, Shengnan Guo, Bin Yang, Christian S. Jensen, Youfang Lin, Huaiyu Wan:
GTM: General Trajectory Modeling with Auto-regressive Generation of Feature Domains. CoRR abs/2402.07232 (2024) - [i21]Xiangfei Qiu, Jilin Hu, Lekui Zhou, Xingjian Wu, Junyang Du, Buang Zhang, Chenjuan Guo, Aoying Zhou, Christian S. Jensen, Zhenli Sheng, Bin Yang:
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods. CoRR abs/2403.20150 (2024) - [i20]Zeyu Zhou, Yan Lin, Haomin Wen, Shengnan Guo, Jilin Hu, Youfang Lin, Huaiyu Wan:
PLM4Traj: Cognizing Movement Patterns and Travel Purposes from Trajectories with Pre-trained Language Models. CoRR abs/2405.12459 (2024) - [i19]Zhe Li, Ronghui Xu, Jilin Hu, Zhong Peng, Xi Lu, Chenjuan Guo, Bin Yang:
Orca: Ocean Significant Wave Height Estimation with Spatio-temporally Aware Large Language Models. CoRR abs/2407.20053 (2024) - [i18]Yan Lin, Tonglong Wei, Zeyu Zhou, Haomin Wen, Jilin Hu, Shengnan Guo, Youfang Lin, Huaiyu Wan:
TrajFM: A Vehicle Trajectory Foundation Model for Region and Task Transferability. CoRR abs/2408.15251 (2024) - [i17]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:
FoundTS: Comprehensive and Unified Benchmarking of Foundation Models for Time Series Forecasting. CoRR abs/2410.11802 (2024) - [i16]Xingjian Wu, Xiangfei Qiu, Zhengyu Li, Yihang Wang, Jilin Hu, Chenjuan Guo, Hui Xiong, Bin Yang:
CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching. CoRR abs/2410.12261 (2024) - [i15]Hongfan Gao, Wangmeng Shen, Xiangfei Qiu, Ronghui Xu, Jilin Hu, Bin Yang:
DiffImp: Efficient Diffusion Model for Probabilistic Time Series Imputation with Bidirectional Mamba Backbone. CoRR abs/2410.13338 (2024) - [i14]Tonglong Wei, Yan Lin, Youfang Lin, Shengnan Guo, Jilin Hu, Gao Cong, Huaiyu Wan:
PTR: A Pre-trained Language Model for Trajectory Recovery. CoRR abs/2410.14281 (2024) - [i13]Shiyan Hu, Kai Zhao, Xiangfei Qiu, Yang Shu, Jilin Hu, Bin Yang, Chenjuan Guo:
MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast. CoRR abs/2410.15997 (2024) - 2023
- [j13]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:
A Summary of ICDE 2022 Research Session Panels. IEEE Data Eng. Bull. 46(4): 4-17 (2023) - [j12]Yan Lin, Huaiyu Wan, Jilin Hu, Shengnan Guo, Bin Yang, Youfang Lin, Christian S. Jensen:
Origin-Destination Travel Time Oracle for Map-based Services. Proc. ACM Manag. Data 1(3): 217:1-217:27 (2023) - [j11]Bolong Zheng, Qi Hu, Lingfeng Ming, Jilin Hu, Lu Chen, Kai Zheng, Christian S. Jensen:
SOUP: Spatial-Temporal Demand Forecasting and Competitive Supply in Transportation. IEEE Trans. Knowl. Data Eng. 35(2): 2034-2047 (2023) - [j10]Jing Li, Peng Han, Xiangnan Ren, Jilin Hu, Lisi Chen, Shuo Shang:
Sequence Labeling With Meta-Learning. IEEE Trans. Knowl. Data Eng. 35(3): 3072-3086 (2023) - [j9]Haomin Yu, Jilin Hu, Xinyuan Zhou, Chenjuan Guo, Bin Yang, Qingyong Li:
CGF: A Category Guidance Based PM$_{2.5}$ Sequence Forecasting Training Framework. IEEE Trans. Knowl. Data Eng. 35(10): 10125-10139 (2023) - [c11]Zhuoruo Zhang, Jilin Hu, Chenyang Yu, Rui Chang, Yongwang Zhao:
VeriReach: A Formally Verified Algorithm for Reachability Analysis in Virtual Private Cloud Networks. ICWS 2023: 71-77 - [c10]Sean Bin Yang, Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen:
LightPath: Lightweight and Scalable Path Representation Learning. KDD 2023: 2999-3010 - [i12]Haomin Yu, Yanru Song, Jilin Hu, Chenjuan Guo, Bin Yang:
A Crystal-Specific Pre-Training Framework for Crystal Material Property Prediction. CoRR abs/2306.05344 (2023) - [i11]Yan Lin, Huaiyu Wan, Jilin Hu, Shengnan Guo, Bin Yang, Youfang Lin, Christian S. Jensen:
Origin-Destination Travel Time Oracle for Map-based Services. CoRR abs/2307.03048 (2023) - [i10]Sean Bin Yang, Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen:
LightPath: Lightweight and Scalable Path Representation Learning. CoRR abs/2307.10171 (2023) - [i9]Minbo Ma, Jilin Hu, Christian S. Jensen, Fei Teng, Peng Han, Zhiqiang Xu, Tianrui Li:
Learning Time-aware Graph Structures for Spatially Correlated Time Series Forecasting. CoRR abs/2312.16403 (2023) - 2022
- [j8]Huanlong Zhang, Jiapeng Zhang, Guohao Nie, Jilin Hu, Wenjun Chris Zhang:
Residual memory inference network for regression tracking with weighted gradient harmonized loss. Inf. Sci. 597: 105-124 (2022) - [j7]Simin Xu, Lingkun Luo, Jilin Hu, Bin Yang, Shiqiang Hu:
Semantic driven attention network with attribute learning for unsupervised person re-identification. Knowl. Based Syst. 252: 109354 (2022) - [c9]Frederik Baymler Mathiesen, Bin Yang, Jilin Hu:
Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems. AAAI 2022: 4575-4582 - [c8]Miao Zhang, Shirui Pan, Xiaojun Chang, Steven Su, Jilin Hu, Gholamreza Haffari, Bin Yang:
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule. CVPR 2022: 11861-11870 - [c7]Tianyi Li, Lu Chen, Christian S. Jensen, Torben Bach Pedersen, Yunjun Gao, Jilin Hu:
Evolutionary Clustering of Moving Objects. ICDE 2022: 2399-2411 - [c6]Sean Bin Yang, Chenjuan Guo, Jilin Hu, Bin Yang, Jian Tang, Christian S. Jensen:
Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning. ICDE 2022: 2873-2885 - [i8]Sean Bin Yang, Chenjuan Guo, Jilin Hu, Bin Yang, Jian Tang, Christian S. Jensen:
Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning - Extended Version. CoRR abs/2203.16110 (2022) - 2021
- [j6]Yong Wang, Xian Wei, Hao Shen, Jilin Hu, Lingkun Luo:
Performance evaluation of low resolution visual tracking for unmanned aerial vehicles. Neural Comput. Appl. 33(7): 2229-2248 (2021) - [c5]Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang:
Unsupervised Path Representation Learning with Curriculum Negative Sampling. IJCAI 2021: 3286-3292 - [i7]Sean Bin Yang, Chenjuan Guo, Jilin Hu, Jian Tang, Bin Yang:
Unsupervised Path Representation Learning with Curriculum Negative Sampling. CoRR abs/2106.09373 (2021) - [i6]Tianyi Li, Lu Chen, Christian S. Jensen, Torben Bach Pedersen, Jilin Hu:
Evolutionary Clustering of Streaming Trajectories. CoRR abs/2109.11609 (2021) - [i5]Miao Zhang, Jilin Hu, Steven Su, Shirui Pan, Xiaojun Chang, Bin Yang, Gholamreza Haffari:
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule. CoRR abs/2111.13204 (2021) - 2020
- [j5]Chenjuan Guo, Bin Yang, Jilin Hu, Christian S. Jensen, Lu Chen:
Context-aware, preference-based vehicle routing. VLDB J. 29(5): 1149-1170 (2020) - [c4]Jilin Hu, Bin Yang, Chenjuan Guo, Christian S. Jensen, Hui Xiong:
Stochastic Origin-Destination Matrix Forecasting Using Dual-Stage Graph Convolutional, Recurrent Neural Networks. ICDE 2020: 1417-1428 - [i4]Jilin Hu, Jianbing Shen, Bin Yang, Ling Shao:
Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes. CoRR abs/2002.12168 (2020) - [i3]Bolong Zheng, Qi Hu, Lingfeng Ming, Jilin Hu, Lu Chen, Kai Zheng, Christian S. Jensen:
Spatial-Temporal Demand Forecasting and Competitive Supply via Graph Convolutional Networks. CoRR abs/2009.12157 (2020)
2010 – 2019
- 2019
- [c3]Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen:
Stochastic Weight Completion for Road Networks Using Graph Convolutional Networks. ICDE 2019: 1274-1285 - 2018
- [j4]Bin Yang, Jian Dai, Chenjuan Guo, Christian S. Jensen, Jilin Hu:
PACE: a PAth-CEntric paradigm for stochastic path finding. VLDB J. 27(2): 153-178 (2018) - [j3]Jilin Hu, Bin Yang, Chenjuan Guo, Christian S. Jensen:
Risk-aware path selection with time-varying, uncertain travel costs: a time series approach. VLDB J. 27(2): 179-200 (2018) - [c2]Chenjuan Guo, Bin Yang, Jilin Hu, Christian S. Jensen:
Learning to Route with Sparse Trajectory Sets. ICDE 2018: 1073-1084 - [i2]Chenjuan Guo, Bin Yang, Jilin Hu, Christian S. Jensen:
Learning to Route with Sparse Trajectory Sets - Extended Version. CoRR abs/1802.07980 (2018) - [i1]Jilin Hu, Chenjuan Guo, Bin Yang, Christian S. Jensen, Lu Chen:
Recurrent Multi-Graph Neural Networks for Travel Cost Prediction. CoRR abs/1811.05157 (2018) - 2017
- [j2]Jilin Hu, Bin Yang, Christian S. Jensen, Yu Ma:
Enabling time-dependent uncertain eco-weights for road networks. GeoInformatica 21(1): 57-88 (2017) - [c1]Robert Waury, Jilin Hu, Bin Yang, Christian S. Jensen:
Assessing the Accuracy Benefits of On-the-Fly Trajectory Selection in Fine-Grained Travel-Time Estimation. MDM 2017: 240-245 - 2016
- [j1]Jian Dai, Bin Yang, Chenjuan Guo, Christian S. Jensen, Jilin Hu:
Path Cost Distribution Estimation Using Trajectory Data. Proc. VLDB Endow. 10(3): 85-96 (2016)
Coauthor Index
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