2025
Traffexplainer: A Framework Toward GNN-Based Interpretable Traffic Prediction.
IEEE Trans. Artif. Intell., March, 2025
Effective Cloud Removal for Remote Sensing Images by an Improved Mean-Reverting Denoising Model with Elucidated Design Space.
CoRR, March, 2025
CausalFormer: An Interpretable Transformer for Temporal Causal Discovery.
IEEE Trans. Knowl. Data Eng., January, 2025
LLM4HRS: LLM-Based Spatiotemporal Imputation Model for Highly Sparse Remote Sensing Data.
IEEE Trans. Geosci. Remote. Sens., 2025
Semantic Prototyping With CLIP for Few-Shot Object Detection in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2025
2024
UniOcean: A Unified Framework for Predicting Multiple Ocean Factors of Varying Temporal Scales.
IEEE Trans. Geosci. Remote. Sens., 2024
Self-Supervised Spatiotemporal Imputation Model for Highly Sparse Chl-a Data via Fusing Multisource Satellite Data.
IEEE Trans. Geosci. Remote. Sens., 2024
Weakly Correlated Multimodal Sentiment Analysis: New Dataset and Topic-Oriented Model.
IEEE Trans. Affect. Comput., 2024
M<sup>3</sup>-20M: A Large-Scale Multi-Modal Molecule Dataset for AI-driven Drug Design and Discovery.
CoRR, 2024
CorMulT: A Semi-supervised Modality Correlation-aware Multimodal Transformer for Sentiment Analysis.
CoRR, 2024
2023
HiGRN: A Hierarchical Graph Recurrent Network for Global Sea Surface Temperature Prediction.
ACM Trans. Intell. Syst. Technol., August, 2023
On Evaluating the Predictability of Sea Surface Temperature Using Entropy.
Remote. Sens., April, 2023
CDFM: A cross-domain few-shot model for marine plankton classification.
IET Comput. Vis., February, 2023
STA-GAN: A Spatio-Temporal Attention Generative Adversarial Network for Missing Value Imputation in Satellite Data.
Remote. Sens., January, 2023
Enhanced Adaptive Graph Convolutional Network for Long-Term Fine-Grained SST Prediction.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
HPC-Atlas: Computationally Constructing a Comprehensive Atlas of Human Protein Complexes.
Genom. Proteom. Bioinform., 2023
Spatial-Temporal Data Mining for Ocean Science: Data, Methodologies, and Opportunities.
CoRR, 2023
2022
A Novel Demand Dispatching Model for Autonomous On-Demand Services.
IEEE Trans. Serv. Comput., 2022
IRDA: Incremental Reinforcement Learning for Dynamic Resource Allocation.
IEEE Trans. Big Data, 2022
MIMO: A Unified Spatio-Temporal Model for Multi-Scale Sea Surface Temperature Prediction.
Remote. Sens., 2022
SIM: an improved few-shot image classification model with multi-task learning.
J. Electronic Imaging, 2022
BidH: A Bidirectional Hierarchical Model for Nested Named Entity Recognition.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
An Extreme Semi-supervised Framework Based on Transformer for Network Intrusion Detection.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Fusing Geometric and Scene Information for Cross-View Geo-Localization.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Pornographic Image Recognition Based on High and Low Level Feature Fusion with Human Body Masking and Attention.
Proceedings of the CCRIS 2022: 3rd International Conference on Control, Robotics and Intelligent System, Virtual Event, China, August 26, 2022
2021
D2CL: A Dense Dilated Convolutional LSTM Model for Sea Surface Temperature Prediction.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
RBA-CenterNet: Feature Enhancement by Rotated Border Alignment for Oriented Object Detection.
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
An empirical study on the intra-urban goods movement patterns using logistics big data.
Int. J. Geogr. Inf. Sci., 2020
BigARM: A Big-Data-Driven Airport Resource Management Engine and Application Tools.
Proceedings of the Database Systems for Advanced Applications, 2020
Recursive Balanced k-Subset Sum Partition for Rule-constrained Resource Allocation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
2019
A General Framework for Unmet Demand Prediction in On-Demand Transport Services.
IEEE Trans. Intell. Transp. Syst., 2019
2018
Probabilistic Time-Constrained Paths Search over Uncertain Road Networks.
IEEE Trans. Serv. Comput., 2018
A Unified Framework for Predicting KPIs of On-Demand Transport Services.
IEEE Access, 2018
2017
Efficient Retrieval of Bounded-Cost Informative Routes.
IEEE Trans. Knowl. Data Eng., 2017
Exploring traffic congestion correlation from multiple data sources.
Pervasive Mob. Comput., 2017
Coupled Sparse Matrix Factorization for Response Time Prediction in Logistics Services.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
2016
Retrieving Routes of Interest Over Road Networks.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016
Mining Traffic Congestion Correlation between Road Segments on GPS Trajectories.
Proceedings of the 2016 IEEE International Conference on Smart Computing, 2016
2014
GR-tree: An efficient index structure for GML.
Proceedings of the 22nd International Conference on Geoinformatics, 2014
Efficiently Evaluating Range-Constrained Spatial Keyword Query on Road Networks.
Proceedings of the Database Systems for Advanced Applications, 2014
2012
Evaluating Spatial Keyword Queries under the MapReduce Framework.
Proceedings of the Database Systems for Advanced Applications, 2012