Publications

(2024). MetaHKG: Meta Hyperbolic Learning for Few-shot Temporal Reasoning. Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval.
(2024). Large Language Model-Guided Disentangled Belief Representation Learning on Polarized Social Graphs. 2024 33rd International Conference on Computer Communications and Networks (ICCCN).
(2024). Data Augmentation for Human Activity Recognition via Condition Space Interpolation within a Generative Model. 2024 33rd International Conference on Computer Communications and Networks (ICCCN).
(2023). Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning. Findings of the Association for Computational Linguistics: ACL 2023.
(2023). Unsupervised Image Classification by Ideological Affiliation from User-Content Interaction Patterns. arXiv.
(2023). The Paradox of Information Access: On Modeling Polarization in the Age of Information. IEEE Transactions on Control of Network Systems.
(2023). Influence pathway discovery on social media. 2023 IEEE 9th International Conference on Collaboration and Internet Computing (CIC).
(2022). AdaMask: Enabling Machine-Centric Video Streaming with Adaptive Frame Masking for DNN Inference Offloading. Proceedings of the 30th ACM International Conference on Multimedia.
(2022). Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.
(2022). Learning to sample and aggregate: Few-shot reasoning over temporal knowledge graphs. Advances in Neural Information Processing Systems.