Jie Zhou (周 杰)
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Contact: Shanghai, China, 200062
Email: jzhou [@] cs [DOT] ecnu [DOT] edu [DOT] cn [CV] [Github] [Google Scholar] |
About me
Dr. Zhou is an associate professor (Zijiang Youth Scholar) and Ph.D. supervisor at School of Computer Science and Technology at East China Normal University. He obtained his Ph.D. in 2021 from the School of Computer Science at East China Normal University and completed his postdoctoral research from 2021 to 2023 at Fudan NLP, the director is Prof. Xuanjing Huang. He has published over 70 papers in prestigious international conferences and journals, such as AAAI, ACL, and ACM Computing Surveys, with more than 1,400 citations on Google Scholar. Dr. Zhou received the Outstanding Paper Award at COLING 2022 (as the first author), a cover paper in FITEE, and the Shanghai Science and Technology Progress Award (Second Prize, third contributor). He has also been recognized by the Sponsored by Shanghai Sailing Program and the Shanghai Super Postdoctoral Fellowship.
Research
My research interests include
Natural Language Processing
Large Language Models
Continual Learning
Selected Publications
Recent Advances of Foundation Language Models-based Continual Learning: A Survey
Yutao Yang, Jie Zhou*, Xuanwen Ding, Tianyu Huai, Shunyu Liu, Qin Chen, Liang He, Yuan Xie
ACM Computing Survey 2024, IF 23.8. [pdf] [Github]
Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection
KediChen, Qin Chen, Jie Zhou, XinqiTao, dingbowen, Jingwen Xie, Mingchen Xie, Peilong Li, Zheng Feng
AAAI 2025.
Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis
Xuanwen Ding, Jie Zhou*, Liang Dou, Qin Chen, Yuanbin Wu, Chengcai Chen, Liang He
EMNLP 2024.
From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents
Xinyi Mou, Xuanwen Ding, Qi He, Liang Wang, Jingcong Liang, Xinnong Zhang, Libo Sun, Jiayu Lin, Jie Zhou, Xuanjing Huang, Zhongyu Wei
Arxiv 2024. [pdf]
PI-Fed: Continual Federated Learning With Parameter-Level Importance Aggregation
Lang Yu, Lina Ge, Guanghui Wang, Jianghao Yin, Qin Chen, Jie Zhou, Liang He
IEEE Internet of Things Joural 2024.
Recent Advances in Robot Navigation via Large Language Models: A Review
Haotian Pan, Shibo Huang, Jian Yang, Jinpeng Mi, Ke Li, Xiong You, Xuan Tang, Peidong Liang, Jinbo Yang, Yingjie Liu, Jianfeng Zhang, Muyu Wang, Jie Yang, Xinyu Zhang, Lijun Zhao, Mingsong Chen, Jie Zhou*, Xian Wei*
Arxiv 2024.
Mathematical language models: A survey
Wentao Liu, Hanglei Hu, Jie Zhou*, Yuyang Ding, Junsong Li, Jiayi Zeng, Mengliang He, Qin Chen, Bo Jiang, Aimin Zhou*, Liang He
Arxiv 2023.
CMM-Math: A Chinese Multimodal Math Dataset To Evaluate and Enhance the Mathematics Reasoning of Large Multimodal Models
Wentao Liu, Qianjun Pan, Yi Zhang, Zhuo Liu, Ji Wu, Jie Zhou*, Aimin Zhou*, Qin Chen, Bo Jiang, Liang He
Arxiv 2024. [pdf] [Github]
Boosting Large Language Models with Socratic Method for Conversational Mathematics Teaching
Yuyang Ding, Hanglei Hu, Jie Zhou*, Qin Chen, Bo Jiang, Liang He
CIKM 2024.Boosting conversational question answering with fine-grained retrieval-augmentation and self-check
Linhao Ye, Zhikai Lei, Jianghao Yin, Qin Chen, Jie Zhou, Liang He
SIGIR 2024.Melo: Enhancing model editing with neuron-indexed dynamic lora
Lang Yu, Qin Chen, Jie Zhou, Liang He
AAAI 2024.
DiaHalu: A Dialogue-level Hallucination Evaluation Benchmark for Large Language Models
Kedi Chen, Qin Chen, Jie Zhou, Yishen He, Liang He
EMNLP 2024. [pdf] [Github]
A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck
Jie Zhou, Qi Zhang, Qin Chen, Zhang Qi, Liang He, Xuanjing Huang
COLING 2022, Outstanding Paper
ChatGPT: potential, prospects, and limitations
Jie Zhou, Pei Ke, Xipeng Qiu, Minlie Huang, Junping Zhang
Frontiers of Information Technology and Electronic Engineering 2023, 封面论文. [pdf]
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 Transactions on Audio, Speech, and Language Processing 2023. [pdf]
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 Systems with Applications 2023. [pdf]
A Regularization-based Transfer Learning Method for Information Extraction via Instructed Graph Decoder
Kedi Chen, Jie Zhou, Qin Chen, Shunyu Liu, Liang He
COLING 2024.
Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis
Zhenxiao Cheng, Jie Zhou*, Wen Wu, Qin Chen, Liang He
COLING 2024.
Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis
Siyin Wang, Jie Zhou*, Qin Chen, Qi Zhang, Tao Gui, Xuanjing Huang
COLING 2024.
Let's Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Models
Shunyu Liu, Jie Zhou*, Qunxi Zhu, Qin Chen, Qingchun Bai, Jun Xiao, Liang He
COLING 2024.
Educhat: A large-scale language model-based chatbot system for intelligent education
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
CCKS 2024.
Enhancing event-level sentiment analysis with structured arguments
Qi Zhang, Jie Zhou*, Qin Chen, Qingchun Bai, Liang He
SIGIR 2022
An Information Minimization Based Contrastive Learning Model for Unsupervised Sentence Embeddings Learning
Shaobin Chen, Jie Zhou, Yuling Sun, Liang He
COLING 2022
Causal Intervention Improves Implicit Sentiment Analysis
Siyin Wang, Jie Zhou*, Changzhi Sun, Junjie Ye, Tao Gui, Qi Zhang, Xuanjing Huang
COLING 2022
Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model
Xiao Wang, Weikang Zhou, Qi Zhang, Jie Zhou, Songyang Gao, Junzhe Wang, Menghan Zhang, Xiang Gao, Yunwen Chen, Tao Gui
ACL 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
ACL 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
EMNLP 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
IPM 2023.
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
Knowledge-Based Systems 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
Knowledge-Based Systems 2022.
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
Knowledge-Based Systems 2020.
Position-aware hierarchical transfer model for aspect-level sentiment classification
Jie Zhou, Qin Chen, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He
Information Sciences 2020.
Attending via both Fine-tuning and Compressing
Jie Zhou, Yuanbin Wu, Qin Chen, Xuanjing Huang, Liang He
ACL 2021
Is “hot pizza” positive or negative? mining target-aware sentiment lexicons
Jie Zhou, Yuanbin Wu, Changzhi Sun, Liang He
EACL 2021
Sentix: A sentiment-aware pre-trained model for cross-domain sentiment analysis
Jie Zhou, Junfeng Tian, Rui Wang, Yuanbin Wu, Wenming Xiao, Liang He
COLING 2021
SNNN: promoting word sentiment and negation in neural sentiment classification
Qinmin Hu, Jie Zhou, Qin Chen, Liang He
AAAI 2018