Jie Zhou

According to our database, Jie Zhou authored at least 49 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CausalABSC: Causal Inference for Aspect Debiasing in Aspect-Based Sentiment Classification.

Jie Zhou, Yuanbiao Lin, Qin Chen, Qi Zhang, Xuanjing Huang, Liang He

IEEE ACM Trans. Audio Speech Lang. Process., 2024

LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition.

Junjie Ye, Nuo Xu, Yikun Wang, Jie Zhou, Qi Zhang, Tao Gui, Xuanjing Huang

CoRR, 2024

Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis.

Siyin Wang, Jie Zhou, Qin Chen, Qi Zhang, Tao Gui, Xuanjing Huang

CoRR, 2024

2023

Cross-modal fine-grained alignment and fusion network for multimodal aspect-based sentiment analysis.

Luwei Xiao, Xingjiao Wu, Shuwen Yang, Junjie Xu, Jie Zhou, Liang He

Inf. Process. Manag., November, 2023

Multi-modal multi-hop interaction network for dialogue response generation.

Jie Zhou, Junfeng Tian, Rui Wang, Yuanbin Wu, Ming Yan, Liang He, Xuanjing Huang

Expert Syst. Appl., October, 2023

A weakly supervised knowledge attentive network for aspect-level sentiment classification.

Qingchun Bai, Jun Xiao, Jie Zhou

J. Supercomput., March, 2023

A Soft Contrastive Learning-based Prompt Model for Few-shot Sentiment Analysis.

Jingyi Zhou, Jie Zhou, Jiabao Zhao, Siyin Wang, Haijun Shan, Gui Tao, Qi Zhang, Xuanjing Huang

CoRR, 2023

RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification.

Junjie Ye, Jie Zhou, Junfeng Tian, Rui Wang, Qi Zhang, Tao Gui, Xuanjing Huang

CoRR, 2023

A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition.

Limao Xiong, Jie Zhou, Qunxi Zhu, Xiao Wang, Yuanbin Wu, Qi Zhang, Tao Gui, Xuanjing Huang, Jin Ma, Ying Shan

CoRR, 2023

A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models.

Junjie Ye, Xuanting Chen, Nuo Xu, Can Zu, Zekai Shao, Shichun Liu, Yuhan Cui, Zeyang Zhou, Chao Gong, Yang Shen, Jie Zhou, Siming Chen, Tao Gui, Qi Zhang, Xuanjing Huang

CoRR, 2023

How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks.

Xuanting Chen, Junjie Ye, Can Zu, Nuo Xu, Rui Zheng, Minlong Peng, Jie Zhou, Tao Gui, Qi Zhang, Xuanjing Huang

CoRR, 2023

Tell Model Where to Attend: Improving Interpretability of Aspect-Based Sentiment Classification via Small Explanation Annotations.

Zhenxiao Cheng, Jie Zhou, Wen Wu, Qin Chen, Liang He

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

PG-RNN: using position-gated recurrent neural networks for aspect-based sentiment classification.

Qingchun Bai, Jie Zhou, Liang He

J. Supercomput., 2022

Sentiment-aware multimodal pre-training for multimodal sentiment analysis.

Junjie Ye, Jie Zhou, Junfeng Tian, Rui Wang, Jingyi Zhou, Tao Gui, Qi Zhang, Xuanjing Huang

Knowl. Based Syst., 2022

DualGCN: An Aspect-Aware Dual Graph Convolutional Network for review-based recommender.

Liye Shi, Wen Wu, Wenxin Hu, Jie Zhou, Jiayi Chen, Wei Zheng, Liang He

Knowl. Based Syst., 2022

Causal Intervention-based Prompt Debiasing for Event Argument Extraction.

Jiaju Lin, Jie Zhou, Qin Chen

CoRR, 2022

Enhancing Event-Level Sentiment Analysis with Structured Arguments.

Qi Zhang, Jie Zhou, Qin Chen, Qinchun Bai, Liang He

CoRR, 2022

Enhancing Event-Level Sentiment Analysis with Structured Arguments.

Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Liang He

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

ECNU_ICA at SemEval-2022 Task 10: A Simple and Unified Model for Monolingual and Crosslingual Structured Sentiment Analysis.

Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Jun Xiao, Liang He

Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis.

Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Jun Xiao, Liang He

Proceedings of the International Joint Conference on Neural Networks, 2022

CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extraction.

Jiaju Lin, Qin Chen, Jie Zhou, Jian Jin, Liang He

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Enhancing Class Understanding Via Prompt-Tuning For Zero-Shot Text Classification.

Yuhao Dan, Jie Zhou, Qin Chen, Qingchun Bai, Liang He

Proceedings of the IEEE International Conference on Acoustics, 2022

A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck.

Jie Zhou, Qi Zhang, Qin Chen, Liang He, Xuanjing Huang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Causal Intervention Improves Implicit Sentiment Analysis.

Siyin Wang, Jie Zhou, Changzhi Sun, Junjie Ye, Tao Gui, Qi Zhang, Xuanjing Huang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

An Information Minimization Based Contrastive Learning Model for Unsupervised Sentence Embeddings Learning.

Shaobin Chen, Jie Zhou, Yuling Sun, Liang He

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Entity-level sentiment prediction in Danmaku video interaction.

Qingchun Bai, Kai Wei, Jie Zhou, Chao Xiong, Yuanbin Wu, Xin Lin, Liang He

J. Supercomput., 2021

MASAD: A large-scale dataset for multimodal aspect-based sentiment analysis.

Jie Zhou, Jiabao Zhao, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He

Neurocomputing, 2021

Aligned variational autoencoder for matching danmaku and video storylines.

Qingchun Bai, Yuanbin Wu, Jie Zhou, Liang He

Neurocomputing, 2021

Is "hot pizza" Positive or Negative? Mining Target-aware Sentiment Lexicons.

Jie Zhou, Yuanbin Wu, Changzhi Sun, Liang He

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Working with Few Samples: Methods that Help Analyze Social Attitude and Personal Emotion.

Mengwen Liang, Jie Zhou, Yuling Sun, Liang He

Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

Attending via both Fine-tuning and Compressing.

Jie Zhou, Yuanbin Wu, Qin Chen, Xuanjing Huang, Liang He

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

SK-GCN: Modeling Syntax and Knowledge via Graph Convolutional Network for aspect-level sentiment classification.

Jie Zhou, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He

Knowl. Based Syst., 2020

Position-aware hierarchical transfer model for aspect-level sentiment classification.

Jie Zhou, Qin Chen, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He

Inf. Sci., 2020

Is position important? deep multi-task learning for aspect-based sentiment analysis.

Jie Zhou, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He

Appl. Intell., 2020

Retrieval-Polished Response Generation for Chatbot.

Liang Zhang, Yan Yang, Jie Zhou, Chengcai Chen, Liang He

IEEE Access, 2020

ECNU-SenseMaker at SemEval-2020 Task 4: Leveraging Heterogeneous Knowledge Resources for Commonsense Validation and Explanation.

Qian Zhao, Siyu Tao, Jie Zhou, Linlin Wang, Xin Lin, Liang He

Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

TERG: Topic-Aware Emotional Response Generation for Chatbot.

Pei Huo, Yan Yang, Jie Zhou, Chengcai Chen, Liang He

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Knowledge-Based Fine-Grained Classification For Few-Shot Learning.

Jiabao Zhao, Xin Lin, Jie Zhou, Jing Yang, Liang He, Zhaohui Yang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Modeling Multi-aspect Relationship with Joint Learning for Aspect-Level Sentiment Classification.

Jie Zhou, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He

Proceedings of the Database Systems for Advanced Applications, 2020

SentiX: A Sentiment-Aware Pre-Trained Model for Cross-Domain Sentiment Analysis.

Jie Zhou, Junfeng Tian, Rui Wang, Yuanbin Wu, Wenming Xiao, Liang He

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Deep Learning for Aspect-Level Sentiment Classification: Survey, Vision, and Challenges.

Jie Zhou, Jimmy Xiangji Huang, Qin Chen, Qinmin Vivian Hu, Tingting Wang, Liang He

IEEE Access, 2019

DSPF: A Digital Signal Processing Based Framework for Information Retrieval.

Zhiwei Ying, Jimmy Xiangji Huang, Jie Zhou, Fanghong Jian, Tingting He

IEEE Access, 2019

A New Digital Signal Processing Based Model With Multi-Aspect Term Frequency for Information Retrieval.

Zhiwei Ying, Jimmy Xiangji Huang, Jie Zhou

IEEE Access, 2019

Aspect-level Sentiment Classification with Reinforcement Learning.

Tingting Wang, Jie Zhou, Qinmin Vivian Hu, Liang He

Proceedings of the International Joint Conference on Neural Networks, 2019

iCare Designer: A Rule-Driven Layout Co-Designing System for Elderly Caring.

Yuling Sun, Jie Zhou, Dong Yao, Liang He

Proceedings of the 23rd IEEE International Conference on Computer Supported Cooperative Work in Design, 2019

2018

A Data Driven Collaborative Caring Framework for Aging in Place in China.

Jie Zhou, Yuling Sun, Liang He

Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018

ECNU at MC2 2018 Task 2: Mining Opinion Argumentation.

Jie Zhou, Qi Zhang, Qinmin Hu, Liang He

Proceedings of the Working Notes of CLEF 2018, 2018

SNNN: Promoting Word Sentiment and Negation in Neural Sentiment Classification.

Qinmin Hu, Jie Zhou, Qin Chen, Liang He

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Modeling User-Item Profiles with Neural Networks for Rating Prediction.

Lu Chen, Jie Zhou, Liang He, Qin Chen, Jiacheng Zhang, Yan Yang

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017