Jie Zhou

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 69

Top Topics

Convolutional Network

Information Bottleneck

Sentiment Analysis

Top Venues

Publications

Xuanwen Ding, Jie Zhou, Liang Dou, Qin Chen, Yuanbin Wu, Chengcai Chen, Liang He
Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis. CoRR (2024)
Yuhao Dan, Junfeng Tian, Jie Zhou, Ming Yan, Ji Zhang, Qin Chen, Liang He
Modeling Comparative Logical Relation with Contrastive Learning for Text Generation. CoRR (2024)
Shunyu Liu, Jie Zhou, Qunxi Zhu, Qin Chen, Qingchun Bai, Jun Xiao, Liang He
Let's Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Models. LREC/COLING (2024)
Jingyi Zhou, Jie Zhou, Jiabao Zhao, Siyin Wang, Haijun Shan, Tao Gui, Qi Zhang, Xuanjing Huang
A Soft Contrastive Learning-Based Prompt Model for Few-Shot Sentiment Analysis. ICASSP (2024)
Yuyang Ding, Hanglei Hu, Jie Zhou, Qin Chen, Bo Jiang, Liang He
Boosting Large Language Models with Socratic Method for Conversational Mathematics Teaching. CoRR (2024)
Siyin Wang, Jie Zhou, Qin Chen, Qi Zhang, Tao Gui, Xuanjing Huang
Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis. LREC/COLING (2024)
Baiyan Zhang, Qin Chen, Jie Zhou, Jian Jin, Liang He
Enhancing Event Causality Identification with Rationale and Structure-Aware Causal Question Answering. CoRR (2024)
Kedi Chen, Jie Zhou, Qin Chen, Shunyu Liu, Liang He
A Regularization-based Transfer Learning Method for Information Extraction via Instructed Graph Decoder. CoRR (2024)
Yiyang Gu, Yougen Zhou, Qin Chen, Ningning Zhou, Jie Zhou, Aimin Zhou, Liang He
Enhancing Depression-Diagnosis-Oriented Chat with Psychological State Tracking. CoRR (2024)
Kedi Chen, Jie Zhou, Qin Chen, Shunyu Liu, Liang He
A Regularization-based Transfer Learning Method for Information Extraction via Instructed Graph Decoder. LREC/COLING (2024)
Yuhao Dan, Jie Zhou, Qin Chen, Junfeng Tian, Liang He
P-Tailor: Customizing Personality Traits for Language Models via Mixture of Specialized LoRA Experts. CoRR (2024)
Zhenxiao Cheng, Jie Zhou, Wen Wu, Qin Chen, Liang He
Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis. LREC/COLING (2024)
Jie Zhou, Yuanbiao Lin, Qin Chen, Qi Zhang, Xuanjing Huang, Liang He
CausalABSC: Causal Inference for Aspect Debiasing in Aspect-Based Sentiment Classification. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Kedi Chen, Qin Chen, Jie Zhou, Yishen He, Liang He
DiaHalu: A Dialogue-level Hallucination Evaluation Benchmark for Large Language Models. CoRR (2024)
Yutao Yang, Jie Zhou, Xuanwen Ding, Tianyu Huai, Shunyu Liu, Qin Chen, Liang He, Yuan Xie
Recent Advances of Foundation Language Models-based Continual Learning: A Survey. CoRR (2024)
Shunyu Liu, Jie Zhou, Qunxi Zhu, Qin Chen, Qingchun Bai, Jun Xiao, Liang He
Let's Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Models. CoRR (2024)
Siyin Wang, Jie Zhou, Qin Chen, Qi Zhang, Tao Gui, Xuanjing Huang
Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis. CoRR (2024)
Junjie Ye, Nuo Xu, Yikun Wang, Jie Zhou, Qi Zhang, Tao Gui, Xuanjing Huang
LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition. CoRR (2024)
Zhenxiao Cheng, Jie Zhou, Wen Wu, Qin Chen, Liang He
Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis. CoRR (2024)
Lang Yu, Qin Chen, Jie Zhou, Liang He
MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA. AAAI (2024)
Linhao Ye, Zhikai Lei, Jianghao Yin, Qin Chen, Jie Zhou, Liang He
Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check. SIGIR (2024)
Linhao Ye, Zhikai Lei, Jianghao Yin, Qin Chen, Jie Zhou, Liang He
Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check. CoRR (2024)
Luwei Xiao, Xingjiao Wu, Shuwen Yang, Junjie Xu, Jie Zhou, Liang He
Cross-modal fine-grained alignment and fusion network for multimodal aspect-based sentiment analysis. Inf. Process. Manag. 60 (6) (2023)
Qingchun Bai, Jun Xiao, Jie Zhou
A weakly supervised knowledge attentive network for aspect-level sentiment classification. J. Supercomput. 79 (5) (2023)
Junjie Ye, Jie Zhou, Junfeng Tian, Rui Wang, Qi Zhang, Tao Gui, Xuanjing Huang
RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification. CoRR (2023)
Limao Xiong, Jie Zhou, Qunxi Zhu, Xiao Wang, Yuanbin Wu, Qi Zhang, Tao Gui, Xuanjing Huang, Jin Ma, Ying Shan
A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition. CoRR (2023)
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. CoRR (2023)
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)
Jingyi Zhou, Jie Zhou, Jiabao Zhao, Siyin Wang, Haijun Shan, Gui Tao, Qi Zhang, Xuanjing Huang
A Soft Contrastive Learning-based Prompt Model for Few-shot Sentiment Analysis. CoRR (2023)
Jie Zhou, Junfeng Tian, Rui Wang, Yuanbin Wu, Ming Yan, Liang He, Xuanjing Huang
Multi-modal multi-hop interaction network for dialogue response generation. Expert Syst. Appl. 227 (2023)
Qingchun Bai, Jie Zhou, Liang He
PG-RNN: using position-gated recurrent neural networks for aspect-based sentiment classification. J. Supercomput. 78 (3) (2022)
Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Jun Xiao, Liang He
A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis. CoRR (2022)
Qi Zhang, Jie Zhou, Qin Chen, Qinchun Bai, Liang He
Enhancing Event-Level Sentiment Analysis with Structured Arguments. CoRR (2022)
Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Jun Xiao, Liang He
A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis. IJCNN (2022)
Jie Zhou, Qi Zhang, Qin Chen, Liang He, Xuanjing Huang
A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck. CoRR (2022)
Jiaju Lin, Qin Chen, Jie Zhou, Jian Jin, Liang He
CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extraction. CoRR (2022)
Junjie Ye, Jie Zhou, Junfeng Tian, Rui Wang, Jingyi Zhou, Tao Gui, Qi Zhang, Xuanjing Huang
Sentiment-aware multimodal pre-training for multimodal sentiment analysis. Knowl. Based Syst. 258 (2022)
Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Jun Xiao, Liang He
ECNU_ICA at SemEval-2022 Task 10: A Simple and Unified Model for Monolingual and Crosslingual Structured Sentiment Analysis. SemEval@NAACL (2022)
Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Liang He
Enhancing Event-Level Sentiment Analysis with Structured Arguments. SIGIR (2022)
Yuhao Dan, Jie Zhou, Qin Chen, Qingchun Bai, Liang He
Enhancing Class Understanding Via Prompt-Tuning For Zero-Shot Text Classification. ICASSP (2022)
Jiaju Lin, Qin Chen, Jie Zhou, Jian Jin, Liang He
CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extraction. IJCAI (2022)
Liye Shi, Wen Wu, Wenxin Hu, Jie Zhou, Jiayi Chen, Wei Zheng, Liang He
DualGCN: An Aspect-Aware Dual Graph Convolutional Network for review-based recommender. Knowl. Based Syst. 242 (2022)
Jiaju Lin, Jie Zhou, Qin Chen
Causal Intervention-based Prompt Debiasing for Event Argument Extraction. CoRR (2022)
Mengwen Liang, Jie Zhou, Yuling Sun, Liang He
Working with Few Samples: Methods that Help Analyze Social Attitude and Personal Emotion. CSCWD (2021)
Jie Zhou, Yuanbin Wu, Changzhi Sun, Liang He
Is "hot pizza" Positive or Negative? Mining Target-aware Sentiment Lexicons. EACL (2021)
Qingchun Bai, Yuanbin Wu, Jie Zhou, Liang He
Aligned variational autoencoder for matching danmaku and video storylines. Neurocomputing 454 (2021)
Jie Zhou, Jiabao Zhao, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He
MASAD: A large-scale dataset for multimodal aspect-based sentiment analysis. Neurocomputing 455 (2021)
Qingchun Bai, Kai Wei, Jie Zhou, Chao Xiong, Yuanbin Wu, Xin Lin, Liang He
Entity-level sentiment prediction in Danmaku video interaction. J. Supercomput. 77 (9) (2021)
Jie Zhou, Yuanbin Wu, Qin Chen, Xuanjing Huang, Liang He
Attending via both Fine-tuning and Compressing. ACL/IJCNLP (Findings) (2021)
Pei Huo, Yan Yang, Jie Zhou, Chengcai Chen, Liang He
TERG: Topic-Aware Emotional Response Generation for Chatbot. IJCNN (2020)
Jiabao Zhao, Xin Lin, Jie Zhou, Jing Yang, Liang He, Zhaohui Yang
Knowledge-Based Fine-Grained Classification For Few-Shot Learning. ICME (2020)
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, Qin Chen, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He
Position-aware hierarchical transfer model for aspect-level sentiment classification. Inf. Sci. 513 (2020)
Jie Zhou, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He
Is position important? deep multi-task learning for aspect-based sentiment analysis. Appl. Intell. 50 (10) (2020)
Liang Zhang, Yan Yang, Jie Zhou, Chengcai Chen, Liang He
Retrieval-Polished Response Generation for Chatbot. IEEE Access 8 (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. Knowl. Based Syst. 205 (2020)
Qian Zhao, Siyu Tao, Jie Zhou, Linlin Wang, Xin Lin, Liang He
ECNU-SenseMaker at SemEval-2020 Task 4: Leveraging Heterogeneous Knowledge Resources for Commonsense Validation and Explanation. CoRR (2020)
Qian Zhao, Siyu Tao, Jie Zhou, Linlin Wang, Xin Lin, Liang He
ECNU-SenseMaker at SemEval-2020 Task 4: Leveraging Heterogeneous Knowledge Resources for Commonsense Validation and Explanation. SemEval@COLING (2020)
Jie Zhou, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He
Modeling Multi-aspect Relationship with Joint Learning for Aspect-Level Sentiment Classification. DASFAA (1) (2020)
Jie Zhou, Jimmy Xiangji Huang, Qin Chen, Qinmin Vivian Hu, Tingting Wang, Liang He
Deep Learning for Aspect-Level Sentiment Classification: Survey, Vision, and Challenges. IEEE Access 7 (2019)
Yuling Sun, Jie Zhou, Dong Yao, Liang He
iCare Designer: A Rule-Driven Layout Co-Designing System for Elderly Caring. CSCWD (2019)
Zhiwei Ying, Jimmy Xiangji Huang, Jie Zhou, Fanghong Jian, Tingting He
DSPF: A Digital Signal Processing Based Framework for Information Retrieval. IEEE Access 7 (2019)
Tingting Wang, Jie Zhou, Qinmin Vivian Hu, Liang He
Aspect-level Sentiment Classification with Reinforcement Learning. IJCNN (2019)
Zhiwei Ying, Jimmy Xiangji Huang, Jie Zhou
A New Digital Signal Processing Based Model With Multi-Aspect Term Frequency for Information Retrieval. IEEE Access 7 (2019)
Qinmin Hu, Jie Zhou, Qin Chen, Liang He
SNNN: Promoting Word Sentiment and Negation in Neural Sentiment Classification. AAAI (2018)
Jie Zhou, Qi Zhang, Qinmin Hu, Liang He
ECNU at MC2 2018 Task 2: Mining Opinion Argumentation. CLEF (Working Notes) (2018)
Jie Zhou, Yuling Sun, Liang He
Multi-model Hybrid Traffic Flow Forecast Algorithm Based on Multivariate Data. ChineseCSCW (2018)
Jie Zhou, Yuling Sun, Liang He
A Data Driven Collaborative Caring Framework for Aging in Place in China. CSCWD (2018)
Lu Chen, Jie Zhou, Liang He, Qin Chen, Jiacheng Zhang, Yan Yang
Modeling User-Item Profiles with Neural Networks for Rating Prediction. ICTAI (2017)