Xiangchen Song
According to our database1,
Xiangchen Song
authored at least 28 papers
between 2020 and 2024.
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Bibliography
2024
A Randomized Controlled Trial on Anonymizing Reviewers to Each Other in Peer Review Discussions.
CoRR, 2024
When and How: Learning Identifiable Latent States for Nonstationary Time Series Forecasting.
CoRR, 2024
Calibration-then-Calculation: A Variance Reduced Metric Framework in Deep Click-Through Rate Prediction Models.
CoRR, 2024
CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process.
CoRR, 2024
2023
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE Trans. Wirel. Commun., 2022
Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks.
CoRR, 2022
TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks (Extended Abstract).
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Modeling Multi-granularity User Intent Evolving via Heterogeneous Graph Neural Networks for Session-based Recommendation.
CoRR, 2021
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Recommendation.
CoRR, 2021
Who Should Go First? A Self-Supervised Concept Sorting Model for Improving Taxonomy Expansion.
CoRR, 2021
BiTe-GCN: A New GCN Architecture via Bidirectional Convolution of Topology and Features on Text-Rich Networks.
Proceedings of the WSDM '21, 2021
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations, 2021
ChemNER: Fine-Grained Chemistry Named Entity Recognition with Ontology-Guided Distant Supervision.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
BiTe-GCN: A New GCN Architecture via BidirectionalConvolution of Topology and Features on Text-Rich Networks.
CoRR, 2020
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation.
CoRR, 2020
CoRR, 2020
Fine-Grained Named Entity Recognition with Distant Supervision in COVID-19 Literature.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020