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Multimodal Hateful Memes Detection via Image Caption Supervision.

H. Fang, F. Zhu, J. Han, и S. Hu. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, стр. 1530-1537. IEEE, (2022)

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Jun Hu

Ruguo Hu

Zaijun Hu

Bing Hu

Hu Wang

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Learning Review Representations from user and Product Level Information for Spam Detection.C. Yuan, W. Zhou, Q. Ma, S. Lv, J. Han, и S. Hu. ICDM, стр. 1444-1449. IEEE, (2019)DyHGCN: A Dynamic Heterogeneous Graph Convolutional Network to Learn Users' Dynamic Preferences for Information Diffusion Prediction.C. Yuan, J. Li, W. Zhou, Y. Lu, X. Zhang, и S. Hu. ECML/PKDD (3), том 12459 из Lecture Notes in Computer Science, стр. 347-363. Springer, (2020)Entity and Relation Matching Consensus for Entity Alignment.J. Yang, D. Wang, W. Zhou, W. Qian, X. Wang, J. Han, и S. Hu. CIKM, стр. 2331-2341. ACM, (2021)MAPLE: a Maintenance Approach for Pattern-enabLed rEconfiguration of SOA-based Enterprise Application.S. Hu, Y. Liang, J. Tian, и Y. Song. SEKE, стр. 209-214. Knowledge Systems Institute Graduate School, (2008)Pre-training Text Representations as Meta Learning.S. Lv, Y. Wang, D. Guo, D. Tang, N. Duan, F. Zhu, M. Gong, L. Shou, R. Ma, D. Jiang и 3 other автор(ы). CoRR, (2020)ContE: contextualized knowledge graph embedding for circular relations.T. Ma, M. Li, S. Lv, F. Zhu, L. Huang, и S. Hu. Data Min. Knowl. Discov., 37 (1): 110-135 (2023)Smoothed Contrastive Learning for Unsupervised Sentence Embedding.X. Wu, C. Gao, Y. Su, J. Han, Z. Wang, и S. Hu. COLING, стр. 4902-4906. International Committee on Computational Linguistics, (2022)Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation.X. Song, L. Huang, H. Xue, и S. Hu. EMNLP, стр. 5197-5206. Association for Computational Linguistics, (2022)RaP: Redundancy-aware Video-language Pre-training for Text-Video Retrieval.X. Wu, C. Gao, Z. Lin, Z. Wang, J. Han, и S. Hu. EMNLP (Findings), стр. 3036-3047. Association for Computational Linguistics, (2022)A GPU memory efficient speed-up scheme for training ultra-deep neural networks: poster.J. Guo, W. Liu, W. Wang, Q. Lu, S. Hu, J. Han, и R. Li. PPoPP, стр. 397-398. ACM, (2019)

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