Evaluating Spatial Keyword Queries under the MapReduce Framework. - Wengen Li; Weili Wang; Ting Jin (DASFAA Workshops, 2012)

Efficiently Evaluating Range-Constrained Spatial Keyword Query on Road Networks. - Wengen Li; Jihong Guan; Shuigeng Zhou (DASFAA Workshops, 2014)

GR-tree: An efficient index structure for GML. - Weili Wang; Jihong Guan; Wengen Li; Long Zhang (Geoinformatics, 2014)

Mining Traffic Congestion Correlation between Road Segments on GPS Trajectories. - Yuqi Wang; Jiannong Cao 001; Wengen Li; Tao Gu 001 (SMARTCOMP, 2016)

Retrieving Routes of Interest Over Road Networks. - Wengen Li; Jiannong Cao 001; Jihong Guan; Man Lung Yiu; Shuigeng Zhou (WAIM (1), 2016)

Coupled Sparse Matrix Factorization for Response Time Prediction in Logistics Services. - Yuqi Wang; Jiannong Cao 001; Lifang He 001; Wengen Li; Lichao Sun 001; Philip S. Yu (CIKM, 2017)

Exploring traffic congestion correlation from multiple data sources. - Yuqi Wang; Jiannong Cao 001; Wengen Li; Tao Gu 001; Wenzhong Shi (Pervasive Mob. Comput., 2017)

Efficient Retrieval of Bounded-Cost Informative Routes. - Wengen Li; Jiannong Cao 001; Jihong Guan; Man Lung Yiu; Shuigeng Zhou (IEEE Trans. Knowl. Data Eng., 2017)

A Unified Framework for Predicting KPIs of On-Demand Transport Services. - Jihong Guan; Weili Wang; Wengen Li; Shuigeng Zhou (IEEE Access, 2018)

Probabilistic Time-Constrained Paths Search over Uncertain Road Networks. - Wengen Li; Jihong Guan; Xiang Lian 001; Shuigeng Zhou; Jiannong Cao 001 (IEEE Trans. Serv. Comput., 2018)

A General Framework for Unmet Demand Prediction in On-Demand Transport Services. - Wengen Li; Jiannong Cao 001; Jihong Guan; Shuigeng Zhou; Guanqing Liang; Winnie K. Y. So; Michal Szczecinski (IEEE Trans. Intell. Transp. Syst., 2019)

Recursive Balanced k-Subset Sum Partition for Rule-constrained Resource Allocation. - Zhuo Li 010; Jiannong Cao 001; Zhongyu Yao; Wengen Li; Yu Yang 012; Jia Wang 009 (CIKM, 2020)

BigARM: A Big-Data-Driven Airport Resource Management Engine and Application Tools. - Ka Ho Wong; Jiannong Cao 001; Yu Yang 012; Wengen Li; Jia Wang 009; Zhongyu Yao; Suyan Xu; Esther Ahn Chian Ku; Chun On Wong; David Leung (DASFAA (3), 2020)

An empirical study on the intra-urban goods movement patterns using logistics big data. - Pengxiang Zhao; Xintao Liu; Wenzhong Shi; Tao Jia 002; Wengen Li; Min Chen 008 (Int. J. Geogr. Inf. Sci., 2020)

RBA-CenterNet: Feature Enhancement by Rotated Border Alignment for Oriented Object Detection. - Tianying Liu; Yang Wang 100; Siyun Hou; Wengen Li; Jihong Guan; Shuigeng Zhou; Rufu Qin (IJCNN, 2021)

D2CL: A Dense Dilated Convolutional LSTM Model for Sea Surface Temperature Prediction. - Siyun Hou; Wengen Li; Tianying Liu; Shuigeng Zhou; Jihong Guan; Rufu Qin; Zhenfeng Wang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Pornographic Image Recognition Based on High and Low Level Feature Fusion with Human Body Masking and Attention. - Yang Wang 100; Wengen Li (CCRIS, 2022)

Fusing Geometric and Scene Information for Cross-View Geo-Localization. - Siyuan Guo; Tianying Liu; Wengen Li; Jihong Guan; Shuigeng Zhou (CIKM, 2022)

An Extreme Semi-supervised Framework Based on Transformer for Network Intrusion Detection. - Yangmin Li 002; Xinhang Yuan; Wengen Li (CIKM, 2022)

BidH: A Bidirectional Hierarchical Model for Nested Named Entity Recognition. - Wanyang Xu; Wengen Li; Jihong Guan; Shuigeng Zhou (CIKM, 2022)

SIM: an improved few-shot image classification model with multi-task learning. - Jin Guo; Wengen Li; Jihong Guan; Hang Gao; Baobo Liu; Lili Gong (J. Electronic Imaging, 2022)

MIMO: A Unified Spatio-Temporal Model for Multi-Scale Sea Surface Temperature Prediction. - Siyun Hou; Wengen Li; Tianying Liu; Shuigeng Zhou; Jihong Guan; Rufu Qin; Zhenfeng Wang (Remote. Sens., 2022)

IRDA: Incremental Reinforcement Learning for Dynamic Resource Allocation. - Jia Wang 009; Jiannong Cao 001; Senzhang Wang; Zhongyu Yao; Wengen Li (IEEE Trans. Big Data, 2022)

A Novel Demand Dispatching Model for Autonomous On-Demand Services. - Lei Yang 024; Xi Yu; Jiannong Cao 001; Wengen Li; Yuqi Wang; Michal Szczecinski (IEEE Trans. Serv. Comput., 2022)

HPC-Atlas: Computationally Constructing a Comprehensive Atlas of Human Protein Complexes. - Yuliang Pan; Ruiyi Li; Wengen Li; Liuzhenghao Lv; Jihong Guan; Shuigeng Zhou (Genom. Proteom. Bioinform., 2023)

Enhanced Adaptive Graph Convolutional Network for Long-Term Fine-Grained SST Prediction. - Han Peng; Chang Jin; Wengen Li; Jihong Guan (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

STA-GAN: A Spatio-Temporal Attention Generative Adversarial Network for Missing Value Imputation in Satellite Data. - Shuyu Wang; Wengen Li; Siyun Hou; Jihong Guan; Jiamin Yao (Remote. Sens., 2023)

CDFM: A cross-domain few-shot model for marine plankton classification. - Jin Guo; Wengen Li; Jihong Guan; Hang Gao; Baobo Liu; Lili Gong (IET Comput. Vis., 2023)

On Evaluating the Predictability of Sea Surface Temperature Using Entropy. - Chang Jin; Han Peng; Hanchen Yang; Wengen Li; Jihong Guan (Remote. Sens., 2023)

HiGRN: A Hierarchical Graph Recurrent Network for Global Sea Surface Temperature Prediction. - Hanchen Yang; Wengen Li; Siyun Hou; Jihong Guan; Shuigeng Zhou (ACM Trans. Intell. Syst. Technol., 2023)

CorMulT: A Semi-supervised Modality Correlation-aware Multimodal Transformer for Sentiment Analysis. - Yangmin Li 002; Ruiqi Zhu; Wengen Li (CoRR, 2024)

Weakly Correlated Multimodal Sentiment Analysis: New Dataset and Topic-Oriented Model. - Wuchao Liu; Wengen Li; Yu-Ping Ruan; Yulou Shu; Juntao Chen; Yina Li; Caili Yu; Yichao Zhang 001; Jihong Guan; Shuigeng Zhou (IEEE Trans. Affect. Comput., 2024)

Self-Supervised Spatiotemporal Imputation Model for Highly Sparse Chl-a Data via Fusing Multisource Satellite Data. - Shuyu Wang; Wengen Li; Jihong Guan; Xiwei Liu; Yichao Zhang 001; Shuigeng Zhou (IEEE Trans. Geosci. Remote. Sens., 2024)

UniOcean: A Unified Framework for Predicting Multiple Ocean Factors of Varying Temporal Scales. - Hanchen Yang; Yuwei Chen; Jiannong Cao 001; Wengen Li; Yu Yang 012; Shuyu Wang; Jihong Guan; Rufu Qin; Shuigeng Zhou (IEEE Trans. Geosci. Remote. Sens., 2024)

Effective Cloud Removal for Remote Sensing Images by an Improved Mean-Reverting Denoising Model with Elucidated Design Space. - Yi Liu; Wengen Li; Jihong Guan; Shuigeng Zhou; Yichao Zhang 001 (CVPR, 2025)

CausalFormer: An Interpretable Transformer for Temporal Causal Discovery (Extended Abstract). - Lingbai Kong; Wengen Li; Hanchen Yang; Yichao Zhang 001; Jihong Guan; Shuigeng Zhou (ICDE, 2025)

Cross-trajectory spatiotemporal fusion for user identity linkage. - Yue Yang; Yichao Zhang 001; Jihong Guan; Shuigeng Zhou; Wengen Li (Neurocomputing, 2025)

M3-20M: A large-scale multi-modal molecule dataset for AI-driven drug design and discovery. - Siyuan Guo; Lexuan Wang; Chang Jin; Jinxian Wang; Han Peng; Huayang Shi; Wengen Li; Jihong Guan; Shuigeng Zhou (J. Bioinform. Comput. Biol., 2025)

Spatiotemporal Attention Network for Chl-a Prediction With Sparse Multifactor Observations. - Xudong Jiang; Yunfan Liu; Shuyu Wang; Wengen Li; Jihong Guan (IEEE Geosci. Remote. Sens. Lett., 2025)

Semantic Prototyping With CLIP for Few-Shot Object Detection in Remote Sensing Images. - Tianying Liu; Shuigeng Zhou; Wengen Li; Yichao Zhang 001; Jihong Guan (IEEE Trans. Geosci. Remote. Sens., 2025)

LLM4HRS: LLM-Based Spatiotemporal Imputation Model for Highly Sparse Remote Sensing Data. - Shuyu Wang; Wengen Li; Hanchen Yang; Jihong Guan; Xiwei Liu; Yichao Zhang 001; Rufu Qin; Shuigeng Zhou (IEEE Trans. Geosci. Remote. Sens., 2025)

SH_Traffic. - Lingbai Kong; Hanchen Yang; Wengen Li; Yichao Zhang 001; Jihong Guan; Shuigeng Zhou (IEEE DataPort, 2025)

CausalFormer: An Interpretable Transformer for Temporal Causal Discovery. - Lingbai Kong; Wengen Li; Hanchen Yang; Yichao Zhang 001; Jihong Guan; Shuigeng Zhou (IEEE Trans. Knowl. Data Eng., 2025)

Traffexplainer: A Framework Toward GNN-Based Interpretable Traffic Prediction. - Lingbai Kong; Hanchen Yang; Wengen Li; Yichao Zhang 001; Jihong Guan; Shuigeng Zhou (IEEE Trans. Artif. Intell., 2025)

MVST: A Multi-View Spatial-Temporal Model for Fine-Grained Crime Prediction. - Chang Wei; Wengen Li; Yichao Zhang 001; Jihong Guan; Shuigeng Zhou (ACM Trans. Intell. Syst. Technol., 2025)

OKG-LLM: Aligning Ocean Knowledge Graph with Observation Data via LLMs for Global Sea Surface Temperature Prediction. - Hanchen Yang; Jiaqi Wang; Jiannong Cao 001; Wengen Li; Jialun Zheng; Yangning Li; Chunyu Miao; Jihong Guan; Shuigeng Zhou; Philip S. Yu (CoRR, 2025)

Cross-Region Graph Convolutional Network with Periodicity Shift Adaptation for Wide-Area SST Prediction. - Han Peng; Wengen Li; Chang Jin; Yichao Zhang 001; Jihong Guan; Hanchen Yang; Shuigeng Zhou (ACM Trans. Intell. Syst. Technol., 2025)

Raker: A Relation-Aware Knowledge Reasoning Model for Inductive Relation Prediction. - Jiaqi Wang; Wengen Li; Yulou Shu; Jihong Guan; Yichao Zhang 001; Shuigeng Zhou (ACM Trans. Knowl. Discov. Data, 2025)

Spatial-Temporal Data Mining for Ocean Science: Data, Methodologies and Opportunities. - Hanchen Yang; Jiannong Cao 001; Wengen Li; Shuyu Wang; Hui Li; Jihong Guan; Shuigeng Zhou (ACM Trans. Knowl. Discov. Data, 2025)