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Jie Zhou 0015
周杰
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
— Tsinghua University, Department of Automation, Tsinghua National Laboratory for Information Science and Technology, Beijing, China (and 1 more)
- Jie Zhou 0002
- Jie Zhou 0003
- Jie Zhou 0004
- Jie Zhou 0005 — Donghua University, School of Sciences, Shanghai, China
- Jie Zhou 0006
- Jie Zhou 0007 — National University of Defense Technology, College of Computer, Changsha, China
- Jie Zhou 0008
- Jie Zhou 0009
- Jie Zhou 0010
- Jie Zhou 0011
- Jie Zhou 0012
- Jie Zhou 0013
- Jie Zhou 0014
- Jie Zhou 0016
- Jie Zhou 0017
- Jie Zhou 0018
- Jie Zhou 0019
- Jie Zhou 0020
- Jie Zhou 0021 — Beijing University of Posts and Telecommunications, School of Electronic Engineering, Beijing, China (and 1 more)
- Jie Zhou 0022
- 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
- Jie Zhou 0027
- Jie Zhou 0028 — China Academy of Engineering Physics, CAEP, Institute of Electronic Engineering, China
- Jie Zhou 0029
- Jie Zhou 0030
- Jie Zhou 0031
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2020 – today
- 2024
- [j18]Jie Zhou
ChatGPT: potential, prospects, and limitations. Frontiers Inf. Technol. Electron. Eng. 25(1): 6-11 (2024) - [j17]Jie Zhou
CausalABSC: Causal Inference for Aspect Debiasing in Aspect-Based Sentiment Classification. IEEE ACM Trans. Audio Speech Lang. Process. 32: 830-840 (2024) - [c35]Lang Yu
MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA. AAAI 2024: 19449-19457 - [c34]Yuyang Ding, Hanglei Hu, Jie Zhou, Qin Chen, Bo Jiang, Liang He:
Boosting Large Language Models with Socratic Method for Conversational Mathematics Teaching. CIKM 2024: 3730-3735 - [c33]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: 1472-1485 - [c32]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: 5286-5298 - [c31]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: 10274-10285 - [c30]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: 10324-10335 - [c29]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: 10016-10020 - [c28]Baiyan Zhang, Qin Chen, Jie Zhou, Jian Jin, Liang He:
Enhancing Event Causality Identification with Rationale and Structure-Aware Causal Question Answering. IJCNN 2024: 1-8 - [c27]Linhao Ye
Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check. SIGIR 2024: 2301-2305 - [i31]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) - [i30]Junjie Ye
LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition. CoRR abs/2402.14568 (2024) - [i29]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 abs/2402.15289 (2024) - [i28]Zhenxiao Cheng, Jie Zhou, Wen Wu, Qin Chen, Liang He:
Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis. CoRR abs/2402.18145 (2024) - [i27]Kedi Chen, Jie Zhou, Qin Chen, Shunyu Liu, Liang He:
A Regularization-based Transfer Learning Method for Information Extraction via Instructed Graph Decoder. CoRR abs/2403.00891 (2024) - [i26]Kedi Chen, Qin Chen, Jie Zhou, Yishen He, Liang He:
DiaHalu: A Dialogue-level Hallucination Evaluation Benchmark for Large Language Models. CoRR abs/2403.00896 (2024) - [i25]Yiyang Gu, Yougen Zhou, Qin Chen, Ningning Zhou, Jie Zhou, Aimin Zhou, Liang He:
Enhancing Depression-Diagnosis-Oriented Chat with Psychological State Tracking. CoRR abs/2403.09717 (2024) - [i24]Baiyan Zhang, Qin Chen, Jie Zhou, Jian Jin, Liang He:
Enhancing Event Causality Identification with Rationale and Structure-Aware Causal Question Answering. CoRR abs/2403.11129 (2024) - [i23]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 abs/2403.18243 (2024) - [i22]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 abs/2405.05496 (2024) - [i21]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 abs/2405.18653 (2024) - [i20]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 abs/2406.09095 (2024) - [i19]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 abs/2406.12548 (2024) - [i18]Yuyang Ding, Hanglei Hu, Jie Zhou, Qin Chen, Bo Jiang, Liang He:
Boosting Large Language Models with Socratic Method for Conversational Mathematics Teaching. CoRR abs/2407.17349 (2024) - 2023
- [j16]Jie Zhou
Multi-modal multi-hop interaction network for dialogue response generation. Expert Syst. Appl. 227: 120267 (2023) - [j15]Luwei Xiao
Cross-modal fine-grained alignment and fusion network for multimodal aspect-based sentiment analysis. Inf. Process. Manag. 60(6): 103508 (2023) - [j14]Qingchun Bai
A weakly supervised knowledge attentive network for aspect-level sentiment classification. J. Supercomput. 79(5): 5403-5420 (2023) - [c26]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 - [c25]Zhikai Lei, Jie Zhou, Qin Chen, Qi Zhang, Liang He:
Informative Prompt Learning for Low-Shot Commonsense Question Answering via Fine-Grained Redundancy Reduction. ICONIP (14) 2023: 377-390 - [c24]Renjie Zheng, Qin Chen, Jie Zhou
Modeling Intra- and Inter-Modal Alignment with Optimal Transport for Visual Dialog. ICTAI 2023: 805-812 - [i17]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) - [i16]Xuanting Chen, Junjie Ye
How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks. CoRR abs/2303.00293 (2023) - [i15]Junjie Ye
A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models. CoRR abs/2303.10420 (2023) - [i14]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) - [i13]Yuhao Dan, Zhikai Lei, Yiyang Gu, Yong Li, Jianghao Yin, Jiaju Lin, Linhao Ye, Zhiyan Tie, Yougen Zhou, Yilei Wang, Aimin Zhou, Ze Zhou, Qin Chen, Jie Zhou, Liang He, Xipeng Qiu:
EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education. CoRR abs/2308.02773 (2023) - [i12]Junjie Ye
RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification. CoRR abs/2310.09596 (2023) - [i11]Wentao Liu, Hanglei Hu, Jie Zhou, Yuyang Ding, Junsong Li
Mathematical Language Models: A Survey. CoRR abs/2312.07622 (2023) - [i10]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) - [i9]Lang Yu, Qin Chen, Jie Zhou, Liang He:
MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA. CoRR abs/2312.11795 (2023) - 2022
- [j13]Liye Shi, Wen Wu
DualGCN: An Aspect-Aware Dual Graph Convolutional Network for review-based recommender. Knowl. Based Syst. 242: 108359 (2022) - [j12]Junjie Ye
Sentiment-aware multimodal pre-training for multimodal sentiment analysis. Knowl. Based Syst. 258: 110021 (2022) - [j11]Qingchun Bai, Jie Zhou
PG-RNN: using position-gated recurrent neural networks for aspect-based sentiment classification. J. Supercomput. 78(3): 4073-4094 (2022) - [c23]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 - [c22]Shaobin Chen, Jie Zhou, Yuling Sun, Liang He:
An Information Minimization Based Contrastive Learning Model for Unsupervised Sentence Embeddings Learning. COLING 2022: 4821-4831 - [c21]Siyin Wang, Jie Zhou, Changzhi Sun, Junjie Ye
Causal Intervention Improves Implicit Sentiment Analysis. COLING 2022: 6966-6977 - [c20]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 - [c19]Jiaju Lin
CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extraction. IJCAI 2022: 4245-4251 - [c18]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 - [c17]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 - [c16]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
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
MASAD: A large-scale dataset for multimodal aspect-based sentiment analysis. Neurocomputing 455: 47-58 (2021) - [j8]Qingchun Bai
Entity-level sentiment prediction in Danmaku video interaction. J. Supercomput. 77(9): 9474-9493 (2021) - [c15]Jie Zhou, Yuanbin Wu, Qin Chen, Xuanjing Huang, Liang He:
Attending via both Fine-tuning and Compressing. ACL/IJCNLP (Findings) 2021: 2152-2161 - [c14]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 - [c13]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
Is position important? deep multi-task learning for aspect-based sentiment analysis. Appl. Intell. 50(10): 3367-3378 (2020) - [j5]Jie Zhou
Position-aware hierarchical transfer model for aspect-level sentiment classification. Inf. Sci. 513: 1-16 (2020) - [j4]Jie Zhou, Jimmy Xiangji Huang
SK-GCN: Modeling Syntax and Knowledge via Graph Convolutional Network for aspect-level sentiment classification. Knowl. Based Syst. 205: 106292 (2020) - [c12]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 - [c11]Jie Zhou
Modeling Multi-aspect Relationship with Joint Learning for Aspect-Level Sentiment Classification. DASFAA (1) 2020: 786-802 - [c10]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 - [c9]Pei Huo, Yan Yang
TERG: Topic-Aware Emotional Response Generation for Chatbot. IJCNN 2020: 1-8 - [c8]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
Deep Learning for Aspect-Level Sentiment Classification: Survey, Vision, and Challenges. IEEE Access 7: 78454-78483 (2019) - [j2]Zhiwei Ying, Jimmy Xiangji Huang
DSPF: A Digital Signal Processing Based Framework for Information Retrieval. IEEE Access 7: 110235-110248 (2019) - [j1]Zhiwei Ying, Jimmy Xiangji Huang
A New Digital Signal Processing Based Model With Multi-Aspect Term Frequency for Information Retrieval. IEEE Access 7: 160738-160754 (2019) - [c7]Yuling Sun, Jie Zhou, Dong Yao, Liang He:
iCare Designer: A Rule-Driven Layout Co-Designing System for Elderly Caring. CSCWD 2019: 362-367 - [c6]Tingting Wang, Jie Zhou, Qinmin Vivian Hu, Liang He:
Aspect-level Sentiment Classification with Reinforcement Learning. IJCNN 2019: 1-8 - 2018
- [c5]Qinmin Hu, Jie Zhou, Qin Chen, Liang He:
SNNN: Promoting Word Sentiment and Negation in Neural Sentiment Classification. AAAI 2018: 3255-3262 - [c4]Jie Zhou, Yuling Sun, Liang He:
Multi-model Hybrid Traffic Flow Forecast Algorithm Based on Multivariate Data. ChineseCSCW 2018: 188-200 - [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
[j17] [c35] [c34] [c33] [c31] [c30] [c28] [c27] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [j16] [j15] [c26] [c25] [c24] [i17] [i13] [i11] [i9] [j13] [j11] [c23] [c22] [c20] [c19] [c18] [c17] [c16] [i8] [i7] [i6] [i4] [i3] [j10] [j9] [j8] [c15] [c14] [c13] [j7] [j6] [j5] [j4] [c12] [c11] [c10] [c9] [c8] [i1] [j3] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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last updated on 2024-11-15 20:34 CET by the dblp team
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