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ORCIDJie Zhou 0015
Person information
- affiliation: East China Normal University, Shanghai Key Laboratory of Multidimensional Information Processing, Shanghai, China
- affiliation (former): Fudan University, Shanghai, China
- affiliation (former): East China Normal University, Shanghai, China
- unicode name: 周杰
Other persons with the same name
- Jie Zhou — disambiguation page
- Jie Zhou 0001
![[0000-0001-7701-234X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7701-234X")
— Tsinghua University, Department of Automation, Tsinghua National Laboratory for Information Science and Technology, Beijing, China (and 1 more) - Jie Zhou 0002 — Sichuan University, College of Mathematics, Chengdu, China
- Jie Zhou 0003 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China (and 1 more)
- Jie Zhou 0004 — Shihezi University, College of Information Science and Technology, China
- Jie Zhou 0005 — Donghua University, School of Sciences, Shanghai, China
- Jie Zhou 0006 — Nanjing University of Information Science and Technology, College of Electronic and Information Engineering, China (and 2 more)
- Jie Zhou 0007 — National University of Defense Technology, College of Computer, Changsha, China
- Jie Zhou 0008 — South China University of Technology, School of Computer Science and Engineering, Guangzhou, China (and 2 more)
- Jie Zhou 0009 — Shenzhen University, College of Computer Science and Software Engineering, China (and 1 more)
- Jie Zhou 0010 — University of Science and Technology of China, Hefei, CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, China
- Jie Zhou 0011 — North University of China, School of Mechanical Engineering, Taiyuan, Shanxi, China
- Jie Zhou 0012 — Army Engineering University, Department of Mechanical Engineering, Shijiazhuang, China
- Jie Zhou 0013 — Shanghai Jiaotong University, School of Electric Information and Electronic Engineering, China
- Jie Zhou 0014 — Zhejiang University, Department of Precision Medicine and Biopharmaceutics, Hangzhou, China
- Jie Zhou 0016 — Tencent Inc., WeChat AI, Pattern Recognition Center, Beijing, China
- Jie Zhou 0017 — East China Normal University, School of Computer Science and Technology, Shanghai, China
- Jie Zhou 0018 — Shanghai University of Electric Power, School of Automation Engineering, Shanghai, China
- Jie Zhou 0019 — Jiangsu University, School of Automotive and Traffic Engineering, Zhenjiang, China
- Jie Zhou 0020 — Sun Yat-sen University, Key Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, Guangzhou, China
- Jie Zhou 0021 — Beijing University of Posts and Telecommunications, School of Electronic Engineering, Beijing, China (and 1 more)
- Jie Zhou 0022 — University of Rochester, Department of Computer Science, Rochester, NY, USA
- Jie Zhou 0023 — Northern Illinois University, Department of Computer Science, DeKalb, IL, USA (and 1 more)
- Jie Zhou 0024 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Jie Zhou 0025 — Baidu Research, Institute of Deep Learning, Beijing, China
- Jie Zhou 0026 — University of Electronic Science and Technology of China, Center for Advanced Semiconductor and Integrated Micro-System, Chengdu, China
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2020 – today
- 2024
[j17]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: 830-840 (2024)- [i16]Siyin Wang, Jie Zhou, Qin Chen, Qi Zhang, Tao Gui, Xuanjing Huang:
Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis. CoRR abs/2402.14536 (2024) - [i15]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 abs/2402.14568 (2024) - 2023
- [j16]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: 120267 (2023) - [j15]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): 103508 (2023) - [j14]Qingchun Bai, Jun Xiao, Jie Zhou:
A weakly supervised knowledge attentive network for aspect-level sentiment classification. J. Supercomput. 79(5): 5403-5420 (2023) - [c23]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: 1-5 - [i14]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 abs/2302.10479 (2023) - [i13]Xuanting Chen, Junjie Ye, Can Zu, Nuo Xu, Rui Zheng, Minlong Peng, Jie Zhou, Tao Gui, Qi Zhang, Xuanjing Huang:
How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks. CoRR abs/2303.00293 (2023) - [i12]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:
A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models. CoRR abs/2303.10420 (2023) - [i11]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 abs/2305.12485 (2023) - [i10]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 abs/2310.09596 (2023) - [i9]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 abs/2312.10479 (2023) - 2022
- [j13]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: 108359 (2022) - [j12]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: 110021 (2022) - [j11]Qingchun Bai, Jie Zhou, Liang He:
PG-RNN: using position-gated recurrent neural networks for aspect-based sentiment classification. J. Supercomput. 78(3): 4073-4094 (2022) - [c22]Jie Zhou, Qi Zhang, Qin Chen, Liang He, Xuanjing Huang:
A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck. COLING 2022: 1990-2000 - [c21]Shaobin Chen, Jie Zhou, Yuling Sun, Liang He:
An Information Minimization Based Contrastive Learning Model for Unsupervised Sentence Embeddings Learning. COLING 2022: 4821-4831 - [c20]Siyin Wang, Jie Zhou, Changzhi Sun, Junjie Ye, Tao Gui, Qi Zhang, Xuanjing Huang:
Causal Intervention Improves Implicit Sentiment Analysis. COLING 2022: 6966-6977 - [c19]Yuhao Dan, Jie Zhou, Qin Chen, Qingchun Bai, Liang He:
Enhancing Class Understanding Via Prompt-Tuning For Zero-Shot Text Classification. ICASSP 2022: 4303-4307 - [c18]Jiaju Lin, Qin Chen, Jie Zhou, Jian Jin, Liang He:
CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extraction. IJCAI 2022: 4245-4251 - [c17]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: 1-8 - [c16]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: 1336-1342 - [c15]Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Liang He:
Enhancing Event-Level Sentiment Analysis with Structured Arguments. SIGIR 2022: 1944-1949 - [i8]Jiaju Lin, Qin Chen, Jie Zhou, Jian Jin, Liang He:
CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extraction. CoRR abs/2205.00498 (2022) - [i7]Qi Zhang, Jie Zhou, Qin Chen, Qinchun Bai, Liang He:
Enhancing Event-Level Sentiment Analysis with Structured Arguments. CoRR abs/2205.15511 (2022) - [i6]Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Jun Xiao, Liang He:
A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis. CoRR abs/2205.15514 (2022) - [i5]Siyin Wang, Jie Zhou, Changzhi Sun, Junjie Ye, Tao Gui, Qi Zhang, Xuanjing Huang:
Causal Intervention Improves Implicit Sentiment Analysis. CoRR abs/2208.09329 (2022) - [i4]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 abs/2208.13017 (2022) - [i3]Shaobin Chen, Jie Zhou, Yuling Sun, Liang He:
An Information Minimization Based Contrastive Learning Model for Unsupervised Sentence Embeddings Learning. CoRR abs/2209.10951 (2022) - [i2]Jiaju Lin, Jie Zhou, Qin Chen:
Causal Intervention-based Prompt Debiasing for Event Argument Extraction. CoRR abs/2210.01561 (2022) - 2021
- [j10]Qingchun Bai, Yuanbin Wu, Jie Zhou, Liang He:
Aligned variational autoencoder for matching danmaku and video storylines. Neurocomputing 454: 228-237 (2021) - [j9]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: 47-58 (2021) - [j8]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): 9474-9493 (2021) - [c14]Jie Zhou, Yuanbin Wu, Qin Chen, Xuanjing Huang, Liang He:
Attending via both Fine-tuning and Compressing. ACL/IJCNLP (Findings) 2021: 2152-2161 - [c13]Mengwen Liang, Jie Zhou, Yuling Sun, Liang He:
Working with Few Samples: Methods that Help Analyze Social Attitude and Personal Emotion. CSCWD 2021: 1135-1140 - [c12]Jie Zhou, Yuanbin Wu, Changzhi Sun, Liang He:
Is "hot pizza" Positive or Negative? Mining Target-aware Sentiment Lexicons. EACL 2021: 608-618 - 2020
- [j7]Liang Zhang, Yan Yang, Jie Zhou, Chengcai Chen, Liang He:
Retrieval-Polished Response Generation for Chatbot. IEEE Access 8: 123882-123890 (2020) - [j6]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): 3367-3378 (2020) - [j5]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: 1-16 (2020) - [j4]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: 106292 (2020) - [c11]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: 568-579 - [c10]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: 786-802 - [c9]Jiabao Zhao, Xin Lin, Jie Zhou, Jing Yang, Liang He, Zhaohui Yang:
Knowledge-Based Fine-Grained Classification For Few-Shot Learning. ICME 2020: 1-6 - [c8]Pei Huo, Yan Yang, Jie Zhou, Chengcai Chen, Liang He:
TERG: Topic-Aware Emotional Response Generation for Chatbot. IJCNN 2020: 1-8 - [c7]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: 401-410 - [i1]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 abs/2007.14200 (2020)
2010 – 2019
- 2019
- [j3]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: 78454-78483 (2019) - [j2]Zhiwei Ying, Jimmy Xiangji Huang, Jie Zhou, Fanghong Jian, Tingting He:
DSPF: A Digital Signal Processing Based Framework for Information Retrieval. IEEE Access 7: 110235-110248 (2019) - [j1]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: 160738-160754 (2019) - [c6]Yuling Sun, Jie Zhou, Dong Yao, Liang He:
iCare Designer: A Rule-Driven Layout Co-Designing System for Elderly Caring. CSCWD 2019: 362-367 - [c5]Tingting Wang, Jie Zhou, Qinmin Vivian Hu, Liang He:
Aspect-level Sentiment Classification with Reinforcement Learning. IJCNN 2019: 1-8 - 2018
- [c4]Qinmin Hu, Jie Zhou, Qin Chen, Liang He:
SNNN: Promoting Word Sentiment and Negation in Neural Sentiment Classification. AAAI 2018: 3255-3262 - [c3]Jie Zhou, Qi Zhang, Qinmin Hu, Liang He:
ECNU at MC2 2018 Task 2: Mining Opinion Argumentation. CLEF (Working Notes) 2018 - [c2]Jie Zhou, Yuling Sun, Liang He:
A Data Driven Collaborative Caring Framework for Aging in Place in China. CSCWD 2018: 359-364 - 2017
- [c1]Lu Chen, Jie Zhou, Liang He, Qin Chen, Jiacheng Zhang, Yan Yang:
Modeling User-Item Profiles with Neural Networks for Rating Prediction. ICTAI 2017: 301-308
Coauthor Index
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last updated on 2024-04-22 22:37 CEST by the dblp team
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