An on-site index of the SIGMA Lab's published papers, research directions, paper links, and source code.
This repository is used to maintain an index of the papers and code from the lab’s published papers.
All code links point by default to source code repositories forked or maintained under the lab account.
| Research Direction | Number of Papers in Main Research Direction |
|---|---|
| Spatiotemporal Data Mining | 26 |
| Graph Neural Networks | 20 |
| Graph Data Mining | 4 |
| Multivariate Time Series Forecasting | 4 |
| Edge Computing | 2 |
| Data Mining | 7 |
| AI4DB | 1 |
| title | year | venue | paper | code |
|---|---|---|---|---|
| ST-Imputer: Multivariate dependency-aware diffusion network with physics guidance for spatiotemporal imputation | 2026 | Information Fusion (JCR Q1, CAAI A) | Paper | Code |
| Trajectory Similarity Hash Learning with Spatio-Temporal GRU | 2026 | IEEE Transactions on Big Data (JCR Q1, CCF C) | Paper | Code |
| FlightDiff: a dual-constraint guided two-phase diffusion framework for accurate flight prediction | 2026 | GeoInformatica (CCF B) | Paper | TODO |
| Self-Supervised Cross-City Trajectory Representation Learning Based on Meta-Learning | 2026 | Proceedings of the 40th AAAI Conference on Artificial Intelligence (CCF A, acceptance rate=4167/23680=17.6%) | Paper | Code |
| TrajAgg: Dual-Scale Feature Aggregation with Hybrid Training for Trajectory Similarity Computation in Free Space | 2026 | Proceedings of the 40th AAAI Conference on Artificial Intelligence (CCF A, acceptance rate=4167/23680=17.6%) | Paper | Code |
| MA^2Traj: Diffusion network with multi-attribute aggregation for trajectory generation | 2025 | GeoInformatica (CCF B) | Paper | TODO |
| Efficiently Counting Four-Node Motifs in Large-Scale Temporal Graphs | 2025 | The VLDB Jounral (CCF A) | Paper | TODO |
| Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data | 2025 | Proceedings of Thirty-Ninth AAAI Conference on Artificial Intelligence (CCF A, acceptance rate=3032/12957=23.4%, Oral) | Paper | Code |
| Scalable Trajectory-User Linking with Dual-Stream Representation Networks | 2025 | Proceedings of Thirty-Ninth AAAI Conference on Artificial Intelligence (CCF A, acceptance rate=3032/12957=23.4%, Oral) | Paper | Code |
| Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting | 2025 | Proceedings of Thirty-Ninth AAAI Conference on Artificial Intelligence (CCF A, acceptance rate=3032/12957=23.4%, Oral) | Paper | Code |
| Lightweight yet Fine-grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-account Sequential Recommendation | 2025 | Proceedings of Thirty-Ninth AAAI Conference on Artificial Intelligence (CCF A, acceptance rate=3032/12957=23.4%, Oral) | Paper | Code |
| Self-Supervised Trajectory Representation Learning with Multi-Scale Spatio-Temporal Feature Exploration | 2025 | Proceedings of 41th IEEE International Conference on Data Engineering (CCF A, acceptance rate=300/1465=20.5%) | Paper | Code |
| MCN4Rec: Multi-level Collaborative Neural Network for Next Location Recommendation | 2024 | ACM Transactions on Information Systems (CCF A) | Paper | Code |
| Skillful prediction of Indian monsoon intraseasonal precipitation using Central Indian Ocean mode and machine learning | 2024 | Geophysical Research Letters (JCR Q1) | Paper | TODO |
| Adaptive Spatio-Temporal Graph Recurrent Network for Sea Surface Temperature Forecasting | 2024 | IEEE Transactions on Geoscience and Remote Sensing (CAAI A) | Paper | TODO |
| Trajectory-User Linking via Hierarchical Spatio-Temporal Attention Networks | 2024 | ACM Transactions on Knowledge Discovery from Data (CCF B) | Paper | Code |
| Cross-city Few-Shot Traffic Forecasting via Traffic Pattern Bank | 2023 | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CCF B, acceptance rate=354/1472=24%) | Paper | Code |
| Self-supervised contrastive representation learning for large-scale trajectories | 2023 | Future Generation Computer Systems (JCR Q1, CCF C) | Paper | TODO |
| PreCLN: Pretrained-based Contrastive Learning Network for Vehicle Trajectory Prediction | 2023 | World Wide Web Journal (CCF B) | Paper | TODO |
| Mutual Distillation Learning Network for Trajectory-User Linking | 2022 | Proceedings of the 31st International Joint Conference on Artificial Intelligence (CCF A, acceptance rate=681/4535=15%) | Paper | Code |
| Spatio-Temporal Representation Learning with Social Tie for Personalized POI Recommendation | 2022 | Data Science and Engineering (CCF C) | Paper | TODO |
| Citywide Traffic Volume Inference with Surveillance Camera Records | 2021 | IEEE Transactions on Big Data (CCF C) | Paper | TODO |
| Personalized POI Recommendation: Spatio-Temporal Representation Learning with Social Ties | 2021 | The 26th International Conference on Database System for Advanced Applications (CCF B, acceptance rate=98/490=20%, 优秀论文) | Paper | Code |
| Find You If You Drive: Inferring Home Locations for Vehicles with Surveillance Camera Data | 2020 | Knowledge-Based Systems (CCF C) | Paper | TODO |
| 面向位置大数据的快速密度聚类算法 | 2018 | 软件学报 (CCF A) | Paper | TODO |
| Discovering Evolving Moving Object Groups from Massive-Scale Trajectory Streams | 2017 | International Conference on Mobile Data Management (CCF C, acceptance rate=20/75=26.7%) | Paper | TODO |
| title | year | venue | paper | code |
|---|---|---|---|---|
| Disentangled Hypergraph Network with Implicit Structure Learning for Mobility Social Relationship Inference | 2026 | Proceedings of the 35th International Joint Conference on Artificial Intelligence (CCF B) | TODO | Code |
| Dynamic Dual-Channel Asynchronous Graph Neural Network for Traffic Prediction with Missing Values | 2026 | Fundamental Research (JCR Q1) | Paper | TODO |
| ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion | 2026 | Proceedings of the ACM Web Conference (CCF A, acceptance rate=676/3370=20.1%) | Paper | Code |
| Automatic Channel Pruning by Searching with Structure Embedding for Hash Network | 2026 | Proceedings of the 40th AAAI Conference on Artificial Intelligence (CCF A, acceptance rate=4167/23680=17.6%) | Paper | TODO |
| Multiplex Heterogeneous Graph Neural Networks with Euclidean-Riemannian Mutual Space Synergy | 2026 | Proceedings of the 40th AAAI Conference on Artificial Intelligence (CCF A, acceptance rate=4167/23680=17.6%) | Paper | Code |
| S²HyRec: Self-Supervised Hypergraph Sequential Recommendation | 2026 | Proceedings of the 40th AAAI Conference on Artificial Intelligence (CCF A, acceptance rate=4167/23680=17.6%) | Paper | Code |
| Multi-Channel Hypergraph Contrastive Learning for Matrix Completion | 2025 | ACM Transactions on Information Systems (CCF A) | Paper | Code |
| Local High-order Structure-aware Graph Neural Network for motif prediction | 2025 | Knowledge-Based Systems (JCR Q1, CCF C) | Paper | Code |
| MaskDGNN: Self-Supervised Dynamic Graph Neural Networks with Activeness-aware Temporal Masking | 2025 | Proceedings of the 34th International Joint Conference on Artificial Intelligence (CCF A, acceptance rate=1042/5404=19.3%) | Paper | Code |
| 面向节点分类的多层异质图神经网络 | 2025 | 软件学报 (CCF A) | Paper | TODO |
| Dual-Channel Multiplex Graph Neural Networks for Recommendation | 2025 | IEEE Transactions on Knowledge and Data Engineering (CCF A) | Paper | Code |
| Hierarchical Graph Contrastive Learning for Review-Enhanced Recommendation | 2024 | Joint European Conference on Machine Learning and Knowledge Discovery in Databases (CCF B, acceptance rate=198/826=24%) | Paper | Code |
| Hypergraph Hash Learning for Efficient Trajectory Similarity Computation | 2024 | Joint European Conference on Machine Learning and Knowledge Discovery in Databases (CCF B, acceptance rate=198/826=24%) | Paper | Code |
| Multi-Relational Graph Attention Network for Social Relationship Inference from Human Mobility Data | 2024 | Proceedings of the 33rd International Joint Conference on Artificial Intelligence (CCF A, acceptance rate=791/5651=14%) | Paper | Code |
| MHGCN+: Multiplex Heterogeneous Graph Convolutional Network | 2024 | ACM Transactions on Intelligent Systems and Technology (Conference Extension, Online) | Paper | Code |
| Multiplex Heterogeneous Graph Neural Network with Behavior Pattern Modeling | 2023 | Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (CCF A, acceptance rate=313/1416=22.1%) | Paper | Code |
| Graph Structure Learning on User Mobility Data for Social Relationship Inference | 2023 | Proceedings of Thirty-Seventh AAAI Conference on Artificial Intelligence (CCF A, acceptance rate=1721/8777=19.6%) | Paper | Code |
| Dynamic Multi-View Graph Neural Networks for Citywide Traffic Inference | 2023 | ACM Transactions on Knowledge Discovery from Data (CCF B) | Paper | Code |
| Heterogeneous graph neural network for attribute completion | 2022 | Knowledge-Based Systems (JCR Q1, CCF C) | Paper | Code |
| Multiplex Heterogeneous Graph Convolutional Network | 2022 | Proceedings of 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (CCF A, acceptance rate=254/1695=15%) | Paper | Code |
| Temporal Multi-view Graph Convolutional Networks for Citywide Traffic Volume Inference | 2021 | Proceedings of 21st IEEE International Conference on Data Mining (CCF B, acceptance rate=198/990=20%) | Paper | Code |
| title | year | venue | paper | code |
|---|---|---|---|---|
| Weighted Graph Clustering via Scale Contraction and Graph Structure Learning | 2026 | Proceedings of the ACM Web Conference (CCF A, acceptance rate=676/3370=20.1%) | Paper | TODO |
| UMGAD: Unsupervised Multiplex Graph Anomaly Detection | 2025 | Proceedings of 41th IEEE International Conference on Data Engineering (CCF A, acceptance rate=300/1465=20.5%) | Paper | Code |
| MoTTo: Scalable Motif Counting with Time-aware Topology Constraint for Large-scale Temporal Graphs | 2024 | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CCF B, acceptance rate=347/1496=23%) | Paper | TODO |
| Scalable Motif Counting for Large-scale Temporal Graphs | 2022 | Proceedings of 38th IEEE International Conference on Data Engineering (CCF A, acceptance rate=211/780=27.1%) | Paper | Code |
| Motif-Preserving Dynamic Attributed Network Embedding | 2021 | Proceedings of the Web Conference (CCF A, acceptance rate=355/1736=20.4%) | Paper | Code |
| Fast Attributed Multiplex Heterogeneous Network Embedding | 2020 | Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CCF B, acceptance rate=194/970=20%) | Paper | Code |
| Dynamic Representation Learning for Large-Scale Attributed Networks | 2020 | Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CCF B, acceptance rate=194/970=20%) | Paper | Code |
| Student Performance Prediction based on Multi-View Network Embedding | 2020 | 3rd Chinese Conference on Pattern Recognition and Computer Vision (CCF C) | Paper | TODO |
| Inferring Mobility Relationship via Graph Embedding | 2018 | The 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing (CCF A, acceptance rate=24.8%) | Paper | TODO |
| Representation Learning for Large-scale Dynamic Networks | 2018 | 23rd International Conference on Database System for Advanced Applications (CCF B, acceptance rate=83/360=23%) | Paper | TODO |
| title | year | venue | paper | code |
|---|---|---|---|---|
| DGraFormer: Dynamic Graph Learning Guided Multi-Scale Transformer for Multivariate Time Series Forecasting | 2025 | Proceedings of the 34th International Joint Conference on Artificial Intelligence (CCF A, acceptance rate=1042/5404=19.3%) | Paper | Code |
| Non-collective Calibrating Strategy for Time Series Forecasting | 2025 | Proceedings of the 34th International Joint Conference on Artificial Intelligence (CCF A, acceptance rate=1042/5404=19.3%) | Paper | TODO |
| Dataset Condensation for Time Series Classification via Dual Domain Matching | 2024 | Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (CCF A, acceptance rate=409/2046=20%) | Paper | Code |
| Robust anomaly detection for multivariate time series through temporal GCNs and attention-based VAE | 2023 | Knowledge-Based Systems (JCR Q1, CCF C) | Paper | Code |
| title | year | venue | paper | code |
|---|---|---|---|---|
| Decision-Aware Status Updating for Multi-AP Compute-First Networking Under Transmission Constraints | 2026 | IEEE Internet of Things Journal (JCR Q1, CCF C) | Paper | TODU |
| Efficient Information Updates in Compute-First Networking via Reinforcement Learning With Joint AoI and VoI | 2026 | IEEE Internet of Things Journal (JCR Q1, CCF C) | Paper | TODU |
| title | year | venue | paper | code |
|---|---|---|---|---|
| Machine Learning for Depression Screening and Intervention: an Original Circadian Rhythm Score-based Methodology | 2026 | Proceedings of the 32th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (CCF A, acceptance rate=243/790=30.8%) | Paper | Code |
| Scalable KDE-based top-N local outlier detection over large-scale data streams | 2020 | Knowledge-Based Systems (CCF C) | Paper | Code |
| Layer-constrained variational autoencoding kernel density estimation model for anomaly detection | 2020 | Knowledge-Based Systems (CCF C) | Paper | TODO |
| Anomaly Detection in High-Dimensional Data Based on Autoregressive Flow | 2020 | 25th International Conference on Database System for Advanced Applications (CCF B, acceptance rate=119/487=24.4%) | Paper | TODO |
| 基于密度的Top-n局部异常点快速检测算法 | 2019 | 自动化学报 (CCF A) | Paper | Code |
| Region Compatibility based Stability Assessment for Decision Trees | 2018 | Expert Systems with Applications (CCF C) | Paper | TODO |
| Outlier Detection over Massive-Scale Trajectory Streams | 2017 | ACM Transactions on Database Systems (CCF A) | Paper | TODO |
| An Effective and Efficient Hierarchical K-means Clustering Algorithm | 2017 | International Journal of Distributed Sensor Networks (CCF C) | Paper | TODO |
| title | year | venue | paper | code |
|---|---|---|---|---|
| FlowPipe: LLM-Enhanced Conditional Generative Flow Networks for Data Preparation Pipeline Construction | 2026 | Proceedings of the ACM on Management of Data 2027 (CCF A) | Paper | Code |