About Me

Zhiyue Liu is currently an Assistant Professor in Guangxi University. He received the Ph.D. degree in computer science from Sun Yat-sen University.

Contact E-mail: liuzhy [at] gxu.edu.cn or liuzhy93 [at] mail2.sysu.edu.cn.

For more details, see my Chinese personal page.

Research Interests

• Natural Language Processing
• Text Generation
• Multimodal Learning

Education

• 2018-2022, Ph.D., Sun Yat-Sen University, School of Computer Science and Engineering.
• 2015-2018, M.Eng., Northwestern Polytechnical University, School of Aeronautics.
• 2011-2015, B.Eng., Northwestern Polytechnical University, School of Aeronautics.

Publications [Google Scholar Profile]

• Liu, Z., Zhang, X., & Liu, J. (2025). Task-Specific Information Decomposition for End-to-End Dense Video Captioning.
  In Annual Meeting of the Association for Computational Linguistics.

• Liu, Z., Liu, S., Liu, J., & Zhang, X. (2025). Synthesize Then Align: Modality Alignment Augmentation for Zero-shot Image Captioning with Synthetic Data.
  Knowledge-Based Systems.

• Liu, Z., Liu, J., Ling, X., Huang, Q., & Wang, J. (2025). A Knowledge Noise Mitigation Framework for Knowledge-based Visual Question Answering.
  In IEEE International Conference on Multimedia & Expo.

• Liu, Z., Ma, F., & Ling, X. (2025). Target-oriented Multimodal Sentiment Classification with Counterfactual-enhanced Debiasing.
  In IEEE International Conference on Multimedia & Expo.

• Liu, Z., Liu, J., & Ma, F. (2024). Improving Cross-modal Alignment with Synthetic Pairs for Text-only Image Captioning.
  In AAAI Conference on Artificial Intelligence.

• Liu, Z., & Ma, F. (2024). Target-oriented Multimodal Sentiment Classification with Adaptive Modality Weighting.
  In CCF International Conference on Natural Language Processing and Chinese Computing.

• Wang, Z.*, Liu, Z.*, Zheng, X., Su, Q., & Wang, J. (2023). RMLM: A Flexible Defense Framework for Proactively Mitigating Word-level Adversarial Attacks.
  In Annual Meeting of the Association for Computational Linguistics (*equal contribution).

• Lei, N., Cai, J., Qian, Y., Zheng, Z., Han, C., Liu, Z., & Huang, Q. (2023). A Two-Stage Chinese Medical Video Retrieval Framework with LLM.
  In CCF International Conference on Natural Language Processing and Chinese Computing.

• Zheng, X., Liu, Z., Zhang, Z., Wang, Z., & Wang, J. (2022). UECA-Prompt: Universal Prompt for Emotion Cause Analysis.
  In International Conference on Computational Linguistics.

• Liu, Z., Wang, Z., & Wang, J. (2022). A Coarse-to-Fine Training Paradigm for Dialogue Summarization.
  In International Conference on Artificial Neural Networks.

• Du, X., Chen, S., Liu, Z., & Wang, J. (2022). Multiple Userids Identification with Deep Learning.
  Expert Systems with Applications.

• Liu, Z., Wang, J., & Li, Z. (2021). Topic-to-Essay Generation with Comprehensive Knowledge Enhancement.
  In Joint European Conference on Machine Learning and Knowledge Discovery in Databases.

• Du, X., Wang, J., Chen, S., & Liu, Z. (2021). Multi-agent Deep Reinforcement Learning with Spatio-Temporal Feature Fusion for Traffic Signal Control.
  In Joint European Conference on Machine Learning and Knowledge Discovery in Databases.

• Liu, Z., & Wang, J. (2021). A Cooperative Framework with Generative Adversarial Networks and Entropic Auto-Encoders for Text Generation.
  In International Joint Conference on Neural Networks.

• Liu, Z., Wang, J., & Liang, Z. (2020). CatGAN: Category-Aware Generative Adversarial Networks with Hierarchical Evolutionary Learning for Category Text Generation.
  In AAAI Conference on Artificial Intelligence.

• Liu, Z., Wang, J., Du, X., Rao, Y., & Quan, X. (2020). GSMNet: Global Semantic Memory Network for Aspect-Level Sentiment Classification.
  IEEE Intelligent Systems.

• Jiang, T., Wang, J., Liu, Z., & Ling, Y. (2020). Fusion-Extraction Network for Multimodal Sentiment Analysis.
  In Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia Conference.

• Liu, C., Liu, Z., Wang, J., & Zhou, Y. (2020). Template-Enhanced Aspect Term Extraction with Bi-Contextual Convolutional Neural Networks.
  In International Conference on Neural Computing for Advanced Applications.

• Li, Y., Song, D., Liu, Z., & Cao, Y. (2020). IMA System Health Assessment Method Based on Incremental Random Forest.
  Information Technology and Intelligent Transportation Systems.

• Song, Y., Wang, J., Jiang, T., Liu, Z., & Rao, Y. (2019). Targeted sentiment classification with attentional encoder network.
  In International Conference on Artificial Neural Networks.

• Gao, Z., Ma, C., Luo, Y., & Liu, Z. (2018). IMA Health State Evaluation Using Deep Feature Learning with Quantum Neural Network.
  Engineering Applications of Artificial Intelligence.

• Lin, B., Song, D., & Liu, Z. (2018). A Model of Aircraft Support Concept Evaluation Based on DEA and PCA.
  Journal of Systems Science and Information.

Preprints

• Song, Y., Wang, J., Liang, Z., Liu, Z., & Jiang, T. (2020). Utilizing BERT Intermediate Layers for Aspect Based Sentiment Analysis and Natural Language Inference.
  arXiv preprint arXiv:2002.04815.

Academic Services

• Conference Reviewer: AAAI, ACL, CVPR, ICCV, ECML-PKDD, ACL Rolling Review
• Journal Reviewer: IEEE Transactions, The Computer Journal, Expert Systems with Applications, Machine Learning