Zhiyue Liu is currently an associate professor in Guangxi University. He received the Ph.D. degree in computer science in 2022 from Sun Yat-sen University.
Contact E-mail: liuzhy [replace with at] gxu.edu.cn or liuzhy93 [replace with at] mail2.sysu.edu.cn.
For more details, see my Chinese personal page.
Huang, Q., Yang, C., Yao, J., Liu, Z.*, Cai, Y., & Zhang, X. (2026). CMIG: Conceptual Metaphor Theory-Inspired Framework for Metaphorical Image Generation. In Annual Meeting of the Association for Computational Linguistics (ACL, *Corresponding author).
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 (ACL).
Liu, Z., & Zhou, W. (2025). Bridging Semantic and Modality Gaps in Zero-Shot Captioning via Retrieval from Synthetic Data.
In Conference on Empirical Methods in Natural Language Processing (EMNLP).
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.
Huang, Q., Li, P., Wang, W., Zhang, X., Chen, S., Cheng, H., & Liu, Z. (2025). Knowledge-Enhanced Chinese Multimodal Hate Speech Detection.
Expert Systems with Applications.
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 (ICME).
Liu, Z., Ma, F., & Ling, X. (2025). Target-oriented Multimodal Sentiment Classification with Counterfactual-enhanced Debiasing.
In IEEE International Conference on Multimedia & Expo (ICME).
Yang, C., Liu, Z., Zhang, X., & Huang, Q. (2025). Deep Learning-Based Knowledge Injection for Metaphor Detection: A Comprehensive Review.
In CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC).
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 (AAAI).
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 (NLPCC).
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 (ACL, *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 (NLPCC).
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 (COLING).
Liu, Z., Wang, Z., & Wang, J. (2022). A Coarse-to-Fine Training Paradigm for Dialogue Summarization.
In International Conference on Artificial Neural Networks (ICANN).
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 (ECML-PKDD).
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 (ECML-PKDD).
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 (IJCNN).
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 (AAAI).
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 (PAKDD).
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 (ICANN).
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.