2025
Deep reinforcement learning for community architectural layout generation.
Knowl. Inf. Syst., March, 2025
CauseRuDi: Explaining Behavior Sequence Models by Causal Statistics Generation and Rule Distillation.
IEEE Trans. Knowl. Data Eng., January, 2025
2024
DynamiSE: dynamic signed network embedding for link prediction.
Mach. Learn., July, 2024
LAMEE: a light all-MLP framework for time series prediction empowering recommendations.
World Wide Web (WWW), March, 2024
Prompt Learning on Temporal Interaction Graphs.
CoRR, 2024
MAGIC: Detecting Advanced Persistent Threats via Masked Graph Representation Learning.
Proceedings of the 33rd USENIX Security Symposium, 2024
Microservice Root Cause Analysis With Limited Observability Through Intervention Recognition in the Latent Space.
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Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
ProCom: A Few-shot Targeted Community Detection Algorithm.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Towards Adaptive Neighborhood for Advancing Temporal Interaction Graph Modeling.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
Temporal super-resolution traffic flow forecasting via continuous-time network dynamics.
Knowl. Inf. Syst., November, 2023
ReCo:Residential Community Layout Planning Dataset.
Dataset, March, 2023
Learning from undercoded clinical records for automated International Classification of Diseases (ICD) coding.
J. Am. Medical Informatics Assoc., February, 2023
SPEED: Streaming Partition and Parallel Acceleration for Temporal Interaction Graph Embedding.
CoRR, 2023
TIGER: Temporal Interaction Graph Embedding with Restarts.
Proceedings of the ACM Web Conference 2023, 2023
ConsRec: Learning Consensus Behind Interactions for Group Recommendation.
Proceedings of the ACM Web Conference 2023, 2023
Reducing Negative Effects of the Biases of Language Models in Zero-Shot Setting.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
Automatic Code Annotation Generation Based on Heterogeneous Graph Structure.
Proceedings of the IEEE International Conference on Software Analysis, 2023
ReCo: A Dataset for Residential Community Layout Planning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Improving Code Search with Multi-Modal Momentum Contrastive Learning.
Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023
Explaining Temporal Graph Models through an Explorer-Navigator Framework.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
KeFVP: Knowledge-enhanced Financial Volatility Prediction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Adaptive Structure Induction for Aspect-based Sentiment Analysis with Spectral Perspective.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Multi-Modal Fusion with Semantic Supervision for Radiology Report Generation.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Hierarchical Encoder-Decoder with Addressable Memory Network for Diagnosis Prediction.
Proceedings of the Database Systems for Advanced Applications, 2023
MulEA: Multi-type Entity Alignment of Heterogeneous Medical Knowledge Graphs.
Proceedings of the Database Systems for Advanced Applications, 2023
Automatic ICD Coding Based on Segmented ClinicalBERT with Hierarchical Tree Structure Learning.
Proceedings of the Database Systems for Advanced Applications, 2023
RDGSL: Dynamic Graph Representation Learning with Structure Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and Re-occurrence Preservation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Dual Intents Graph Modeling for User-centric Group Discovery.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Bridging the Gap: Cross-modal Knowledge Driven Network for Radiology Report Generation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Multi-task attributed graphical lasso and its application in fund classification.
World Wide Web, 2022
Scalable self-supervised graph representation learning via enhancing and contrasting subgraphs.
Knowl. Inf. Syst., 2022
Exploring the form of big data products and the supporting systems.
J. Big Data, 2022
Triangle Graph Interest Network for Click-through Rate Prediction.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
CLARE: A Semi-supervised Community Detection Algorithm.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Cross-Modal Contrastive Learning for Code Search.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022
AISLE: Self-supervised Representation Learning for the Investigation of Advanced Persistent Threat.
Proceedings of the 7th IEEE International Conference on Data Science in Cyberspace, 2022
Composition-based Heterogeneous Graph Multi-channel Attention Network for Multi-aspect Multi-sentiment Classification.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Few-Shot Radiology Report Generation via Knowledge Transfer and Multi-modal Alignment.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
IGE+: A Framework for Learning Node Embeddings in Interaction Graphs.
IEEE Trans. Knowl. Data Eng., 2021
AutoCite: Multi-Modal Representation Fusion for Contextual Citation Generation.
Proceedings of the WSDM '21, 2021
Reinforcement Learning Enhanced Explainer for Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
HSGMP: Heterogeneous Scene Graph Message Passing for Cross-modal Retrieval.
Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021
CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
How Powerful is Graph Convolution for Recommendation?
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
C2BERT: Cross-contrast BERT for Chinese Biomedical Sentence Representation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Radiology Report Generation for Rare Diseases via Few-shot Transformer.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
A measure based pricing framework for data products.
Web Intell., 2020
SEAL: Learning Heuristics for Community Detection with Generative Adversarial Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
CommDGI: Community Detection Oriented Deep Graph Infomax.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Few-shot Radiology Report Generation for Rare Diseases.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Multi-task Attributed Graphical Lasso.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020
IASR: An Item-Level Attentive Social Recommendation Model for Personalized Ranking.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020
2019
NetMerger: Predicting Cross-network Links in Merged Heterogeneous Networks.
Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 2019
DynGraphGAN: Dynamic Graph Embedding via Generative Adversarial Networks.
Proceedings of the Database Systems for Advanced Applications, 2019
2017
Meta-Path Graphical Lasso for Learning Heterogeneous Connectivities.
Proceedings of the 2017 SIAM International Conference on Data Mining, 2017
BiCycle: Item Recommendation with Life Cycles.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Learning Node Embeddings in Interaction Graphs.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017