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Cheng, Z., Zhou, J.*, Wu, W., Chen, Q., & He, L. Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis, 2024, COLING.
Liu, S., Zhou, J.*, Zhu, Q., Chen, Q., Bai, Q., Xiao, J., & He, L. (2024). Let's Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Models, 2024, COLING.
Wang, S., Zhou, J.*, Chen, Q., Zhang, Q., Gui, T., & Huang, X. (2024). Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis, 2024, COLING.
Yu, L., Chen, Q., Zhou, J., & He, L. (2023). Melo: Enhancing model editing with neuron-indexed dynamic lora. 2024, AAAI.
Zhou, J., Zhou, J.*, Zhao, J., Wang, S., Shan, H., Tao, G., ... & Huang, X. (2023). A Soft Contrastive Learning-based Prompt Model for Few-shot Sentiment Analysis, 2024, ICASSP.
Zhou, J., Lin, Y., Chen, Q., Zhang, Q., Huang, X., & He, L. CausalABSC: Causal Inference for Aspect Debiasing in Aspect-Based Sentiment Classification. 2023, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
Ye, J., Zhou, J.*, Tian, J., Wang, R., Zhang, Q., Gui, T., & Huang, X. RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification. 2023, EMNLP.
Xiao, L., Wu, X., Yang, S., Xu, J., Zhou, J., & He, L.. Cross-modal fine-grained alignment and fusion network for multimodal aspect-based sentiment analysis. 2023, Information Processing & Management, 60(6), 103508.
J. Zhou, et al. Multi-Modal Multi-Hop Interaction Network for Dialogue Response Generation, Expert System With Applicitaiton 2023
J. Zhou, et al. A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck, COLING 2022 (杰出论文奖)
S. Wang, J. Zhou*, et al. Causal Intervention Improves Implicit Sentiment Analysis, COLING 2022
J. Ye, J. Zhou*, et al. Sentiment-Aware Multimodal Pre-Training for Multimodal Sentiment Analysis, Knoweldge-based Systems, 2023
S. Chen, J. Zhou, et al. An Information Minimization Based Contrastive Learning Model for Unsupervised Sentence Embeddings Learning, COLING, 2022
Zhenxiao Cheng, Jie Zhou*, Wen Wu, Qin Chen, Liang He. Tell Model Where to Attend: Improving Interpretability of Aspect-Based Sentiment Classification via Small Explanation Annotations. ICASSP 2023.
Jie Zhou, Pei Ke, Xipeng Qiu, Minlie Huang, Junping Zhang. ChatGPT: Potential, prospects, and limitations. Frontiers of Information Technology & Electronic Engineering 2023.
Limao Xiong, Jie Zhou*, Qunxi Zhu, Xiao Wang, Yuanbin Wu, Qi Zhang, Tao Gui, Xuanjing Huang, Jin Ma and Ying Shan. A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition. ACL , 2023.
Q. Zhang, J. Zhou*, et al. Enhancing Event-Level Sentiment Analysis with Structured Arguments, 2022, SIGIR
Y. Dan, J. Zhou, et al. Enhancing Class Understanding Via Prompt-Tuning For Zero-Shot Text Classification, 2022, ICASSP
J. Lin, Q. Chen, J. Zhou, et al. CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extraction, 2022, IJCAI
L. Shi, W. Wu, W, Hu, J. Zhou, et al. DualGCN: An Aspect-Aware Dual Graph Convolutional Network for Review-based Recommender, 2022, Knowledge-based System
Jie Zhou, Qin Chen, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He. Position-Aware Hierarchical Transfer Model for Aspect-Level Sentiment Classification. Information Sciences, 2020.
Jie Zhou, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He. SK-GCN: Modeling Syntax and Knowledge via Graph Convolutional Network for Aspect-Level Sentiment Classification. Knowledge-Based Systems, 2020.
]Jie Zhou, Yuanbin Wu, Qin Chen, Xuanjing Huang, Liang He. Attending via both Fine-tuning and Compressing. ACL, 2021.
Qinmin Hu, Jie Zhou*, Qin Chen, Liang He. SNNN: Promoting Word Sentiment and Negation in Neural Sentiment Classification. AAAI, 2018.
Jie Zhou, Junfeng Tian, Rui Wang, Yuanbin Wu, Wenming Xiao, Liang He. SENTIX: A Sentiment-Aware Pre-Trained Model for Cross-Domain Sentiment Analysis. COLING, 2020.
Jie Zhou, Jiabao Zhao, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He. MASAD: A Large-scale Dataset for Multimodal Aspect-based Sentiment Analysis. Neurocomputing, 2021.
Jie Zhou, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He.. Modeling Multi-aspect Relationship with Joint Learning for Aspect-Level Sentiment Classification. DASFAA, 2020.
Jie Zhou, Yuanbin Wu, Changzhi Sun, Liang He. Is ``hot pizza Positive or Negative? Mining Target-aware Sentiment Lexicons. EACL, 2021.
Jiabao Zhao, Xin Lin, Jie Zhou, Jing Yang, Liang He, Zhaohui Yang. Knowledge-based fine-grained classification for few-shot learning. ICME, 2020.