Modeling User-Item Profiles with Neural Networks for Rating Prediction. - Lu Chen; Jie Zhou 015; Liang He 001; Qin Chen 001; Jiacheng Zhang; Yan Yang 008 (ICTAI, 2017)

SNNN: Promoting Word Sentiment and Negation in Neural Sentiment Classification. - Qinmin Hu; Jie Zhou 015; Qin Chen 001; Liang He 001 (AAAI, 2018)

Multi-model Hybrid Traffic Flow Forecast Algorithm Based on Multivariate Data. - Jie Zhou 015; Yuling Sun; Liang He 001 (ChineseCSCW, 2018)

ECNU at MC2 2018 Task 2: Mining Opinion Argumentation. - Jie Zhou 015; Qi Zhang 001; Qinmin Hu; Liang He 001 (CLEF (Working Notes), 2018)

A Data Driven Collaborative Caring Framework for Aging in Place in China. - Jie Zhou 015; Yuling Sun; Liang He 001 (CSCWD, 2018)

iCare Designer: A Rule-Driven Layout Co-Designing System for Elderly Caring. - Yuling Sun; Jie Zhou 015; Dong Yao; Liang He 001 (CSCWD, 2019)

Aspect-level Sentiment Classification with Reinforcement Learning. - Tingting Wang; Jie Zhou 015; Qinmin Vivian Hu; Liang He 001 (IJCNN, 2019)

A New Digital Signal Processing Based Model With Multi-Aspect Term Frequency for Information Retrieval. - Zhiwei Ying; Jimmy Xiangji Huang; Jie Zhou 015 (IEEE Access, 2019)

DSPF: A Digital Signal Processing Based Framework for Information Retrieval. - Zhiwei Ying; Jimmy Xiangji Huang; Jie Zhou 015; Fanghong Jian; Tingting He 003 (IEEE Access, 2019)

Deep Learning for Aspect-Level Sentiment Classification: Survey, Vision, and Challenges. - Jie Zhou 015; Jimmy Xiangji Huang; Qin Chen 001; Qinmin Vivian Hu; Tingting Wang; Liang He 001 (IEEE Access, 2019)

SentiX: A Sentiment-Aware Pre-Trained Model for Cross-Domain Sentiment Analysis. - Jie Zhou 015; Junfeng Tian; Rui Wang 005; Yuanbin Wu; Wenming Xiao; Liang He 001 (COLING, 2020)

Modeling Multi-aspect Relationship with Joint Learning for Aspect-Level Sentiment Classification. - Jie Zhou 015; Jimmy Xiangji Huang; Qinmin Vivian Hu; Liang He 001 (DASFAA (1), 2020)

Knowledge-Based Fine-Grained Classification For Few-Shot Learning. - Jiabao Zhao; Xin Lin 001; Jie Zhou 015; Jing Yang 023; Liang He 001; Zhaohui Yang (ICME, 2020)

TERG: Topic-Aware Emotional Response Generation for Chatbot. - Pei Huo; Yan Yang 008; Jie Zhou 015; Chengcai Chen; Liang He 001 (IJCNN, 2020)

ECNU-SenseMaker at SemEval-2020 Task 4: Leveraging Heterogeneous Knowledge Resources for Commonsense Validation and Explanation. - Qian Zhao; Siyu Tao; Jie Zhou 015; Linlin Wang; Xin Lin 001; Liang He 001 (SemEval@COLING, 2020)

Retrieval-Polished Response Generation for Chatbot. - Liang Zhang; Yan Yang 008; Jie Zhou 015; Chengcai Chen; Liang He 001 (IEEE Access, 2020)

Is position important? deep multi-task learning for aspect-based sentiment analysis. - Jie Zhou 015; Jimmy Xiangji Huang; Qinmin Vivian Hu; Liang He 001 (Appl. Intell., 2020)

Position-aware hierarchical transfer model for aspect-level sentiment classification. - Jie Zhou 015; Qin Chen 001; Jimmy Xiangji Huang; Qinmin Vivian Hu; Liang He 001 (Inf. Sci., 2020)

SK-GCN: Modeling Syntax and Knowledge via Graph Convolutional Network for aspect-level sentiment classification. - Jie Zhou 015; Jimmy Xiangji Huang; Qinmin Vivian Hu; Liang He 001 (Knowl. Based Syst., 2020)

Attending via both Fine-tuning and Compressing. - Jie Zhou 015; Yuanbin Wu; Qin Chen 001; Xuanjing Huang 001; Liang He 001 (ACL/IJCNLP (Findings), 2021)

Working with Few Samples: Methods that Help Analyze Social Attitude and Personal Emotion. - Mengwen Liang; Jie Zhou 015; Yuling Sun; Liang He 001 (CSCWD, 2021)

Is "hot pizza" Positive or Negative? Mining Target-aware Sentiment Lexicons. - Jie Zhou 015; Yuanbin Wu; Changzhi Sun; Liang He 001 (EACL, 2021)

Aligned variational autoencoder for matching danmaku and video storylines. - Qingchun Bai; Yuanbin Wu; Jie Zhou 015; Liang He 001 (Neurocomputing, 2021)

MASAD: A large-scale dataset for multimodal aspect-based sentiment analysis. - Jie Zhou 015; Jiabao Zhao; Jimmy Xiangji Huang; Qinmin Vivian Hu; Liang He 001 (Neurocomputing, 2021)

Entity-level sentiment prediction in Danmaku video interaction. - Qingchun Bai; Kai Wei; Jie Zhou 015; Chao Xiong; Yuanbin Wu; Xin Lin 001; Liang He 001 (J. Supercomput., 2021)

An Information Minimization Based Contrastive Learning Model for Unsupervised Sentence Embeddings Learning. - Shaobin Chen; Jie Zhou 015; Yuling Sun; Liang He 001 (COLING, 2022)

Causal Intervention Improves Implicit Sentiment Analysis. - Siyin Wang; Jie Zhou 015; Changzhi Sun; Junjie Ye; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (COLING, 2022)

A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck. - Jie Zhou 015; Qi Zhang 001; Qin Chen 001; Liang He 001; Xuanjing Huang 001 (COLING, 2022)

Enhancing Class Understanding Via Prompt-Tuning For Zero-Shot Text Classification. - Yuhao Dan; Jie Zhou 015; Qin Chen 001; Qingchun Bai; Liang He 001 (ICASSP, 2022)

CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extraction. - Jiaju Lin; Qin Chen 001; Jie Zhou 015; Jian Jin; Liang He 001 (IJCAI, 2022)

A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis. - Qi Zhang 001; Jie Zhou 015; Qin Chen 001; Qingchun Bai; Jun Xiao; Liang He 001 (IJCNN, 2022)

ECNU_ICA at SemEval-2022 Task 10: A Simple and Unified Model for Monolingual and Crosslingual Structured Sentiment Analysis. - Qi Zhang 001; Jie Zhou 015; Qin Chen 001; Qingchun Bai; Jun Xiao; Liang He 001 (SemEval@NAACL, 2022)

Enhancing Event-Level Sentiment Analysis with Structured Arguments. - Qi Zhang 001; Jie Zhou 015; Qin Chen 001; Qingchun Bai; Liang He 001 (SIGIR, 2022)

Enhancing Event-Level Sentiment Analysis with Structured Arguments. - Qi Zhang 001; Jie Zhou 015; Qin Chen 001; Qinchun Bai; Liang He 001 (CoRR, 2022)

Causal Intervention-based Prompt Debiasing for Event Argument Extraction. - Jiaju Lin; Jie Zhou 015; Qin Chen 001 (CoRR, 2022)

DualGCN: An Aspect-Aware Dual Graph Convolutional Network for review-based recommender. - Liye Shi; Wen Wu 006; Wenxin Hu; Jie Zhou 015; Jiayi Chen 002; Wei Zheng; Liang He 001 (Knowl. Based Syst., 2022)

Sentiment-aware multimodal pre-training for multimodal sentiment analysis. - Junjie Ye; Jie Zhou 015; Junfeng Tian; Rui Wang 005; Jingyi Zhou; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (Knowl. Based Syst., 2022)

PG-RNN: using position-gated recurrent neural networks for aspect-based sentiment classification. - Qingchun Bai; Jie Zhou 015; Liang He 001 (J. Supercomput., 2022)

Tell Model Where to Attend: Improving Interpretability of Aspect-Based Sentiment Classification via Small Explanation Annotations. - Zhenxiao Cheng; Jie Zhou 015; Wen Wu 006; Qin Chen 001; Liang He 001 (ICASSP, 2023)

Informative Prompt Learning for Low-Shot Commonsense Question Answering via Fine-Grained Redundancy Reduction. - Zhikai Lei; Jie Zhou 015; Qin Chen 001; Qi Zhang 001; Liang He 001 (ICONIP (14), 2023)

Modeling Intra- and Inter-Modal Alignment with Optimal Transport for Visual Dialog. - Renjie Zheng; Qin Chen 001; Jie Zhou 015; Junfeng Tian; Liang He 001 (ICTAI, 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 015; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (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 003; Yang Shen; Jie Zhou 015; Siming Chen 001; et al. (CoRR, 2023)

A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition. - Limao Xiong; Jie Zhou 015; Qunxi Zhu; Xiao Wang 001; Yuanbin Wu; Qi Zhang 001; Tao Gui; Xuanjing Huang 001; Jin Ma 003; Ying Shan (CoRR, 2023)

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; et al. (CoRR, 2023)

RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification. - Junjie Ye; Jie Zhou 015; Junfeng Tian; Rui Wang 005; Qi Zhang 001; Tao Gui; Xuanjing Huang 001 (CoRR, 2023)

Mathematical Language Models: A Survey. - Wentao Liu; Hanglei Hu; Jie Zhou 015; Yuyang Ding; Junsong Li; Jiayi Zeng; Mengliang He; Qin Chen 001; Bo Jiang 016; Aimin Zhou; Liang He 001 (CoRR, 2023)

A Soft Contrastive Learning-based Prompt Model for Few-shot Sentiment Analysis. - Jingyi Zhou; Jie Zhou 015; Jiabao Zhao; Siyin Wang; Haijun Shan; Gui Tao; Qi Zhang 001; Xuanjing Huang 001 (CoRR, 2023)

A weakly supervised knowledge attentive network for aspect-level sentiment classification. - Qingchun Bai; Jun Xiao; Jie Zhou 015 (J. Supercomput., 2023)

Multi-modal multi-hop interaction network for dialogue response generation. - Jie Zhou 015; Junfeng Tian; Rui Wang 005; Yuanbin Wu; Ming Yan 008; Liang He 001; Xuanjing Huang 001 (Expert Syst. Appl., 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 015; Liang He 001 (Inf. Process. Manag., 2023)

MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA. - Lang Yu; Qin Chen 001; Jie Zhou 015; Liang He 001 (AAAI, 2024)

Boosting Large Language Models with Socratic Method for Conversational Mathematics Teaching. - Yuyang Ding; Hanglei Hu; Jie Zhou 015; Qin Chen 001; Bo Jiang 016; Liang He 001 (CIKM, 2024)

Let's Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Models. - Shunyu Liu 003; Jie Zhou 015; Qunxi Zhu; Qin Chen 001; Qingchun Bai; Jun Xiao; Liang He 001 (LREC/COLING, 2024)

A Regularization-based Transfer Learning Method for Information Extraction via Instructed Graph Decoder. - Kedi Chen; Jie Zhou 015; Qin Chen 001; Shunyu Liu 003; Liang He 001 (LREC/COLING, 2024)

Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis. - Zhenxiao Cheng; Jie Zhou 015; Wen Wu 006; Qin Chen 001; Liang He 001 (LREC/COLING, 2024)

Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis. - Siyin Wang; Jie Zhou 015; Qin Chen 001; Qi Zhang 001; Tao Gui; Xuanjing Huang 001 (LREC/COLING, 2024)

DiaHalu: A Dialogue-level Hallucination Evaluation Benchmark for Large Language Models. - Kedi Chen; Qin Chen 001; Jie Zhou 015; Yishen He; Liang He 001 (EMNLP (Findings), 2024)

Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis. - Xuanwen Ding; Jie Zhou 015; Liang Dou; Qin Chen 001; Yuanbin Wu; Arlene Chen; Liang He 001 (EMNLP (Findings), 2024)

A Soft Contrastive Learning-Based Prompt Model for Few-Shot Sentiment Analysis. - Jingyi Zhou; Jie Zhou 015; Jiabao Zhao; Siyin Wang; Haijun Shan; Tao Gui; Qi Zhang 001; Xuanjing Huang 001 (ICASSP, 2024)

Enhancing Event Causality Identification with Rationale and Structure-Aware Causal Question Answering. - Baiyan Zhang; Qin Chen 001; Jie Zhou 015; Jian Jin; Liang He 001 (IJCNN, 2024)

Modeling Comparative Logical Relation with Contrastive Learning for Text Generation. - Yuhao Dan; Junfeng Tian; Jie Zhou 015; Ming Yan 008; Ji Zhang 011; Qin Chen 001; Liang He 001 (NLPCC (4), 2024)

Prompt Debiasing via Causal Intervention for Event Argument Extraction. - Jiaju Lin; Jie Zhou 015; Qin Chen 001 (NLPCC (2), 2024)

Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check. - Linhao Ye; Zhikai Lei; Jianghao Yin; Qin Chen 001; Jie Zhou 015; Liang He 001 (SIGIR, 2024)

LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition. - Junjie Ye; Nuo Xu; Yikun Wang; Jie Zhou 015; Qi Zhang 001; Tao Gui; Xuanjing Huang 001 (CoRR, 2024)

Enhancing Depression-Diagnosis-Oriented Chat with Psychological State Tracking. - Yiyang Gu; Yougen Zhou; Qin Chen 001; Ningning Zhou; Jie Zhou 015; Aimin Zhou; Liang He 001 (CoRR, 2024)

Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis. - Xuanwen Ding; Jie Zhou 015; Liang Dou; Qin Chen 001; Yuanbin Wu; Chengcai Chen; Liang He 001 (CoRR, 2024)

P-Tailor: Customizing Personality Traits for Language Models via Mixture of Specialized LoRA Experts. - Yuhao Dan; Jie Zhou 015; Qin Chen 001; Junfeng Tian; Liang He 001 (CoRR, 2024)

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 015; Aimin Zhou; Qin Chen 001; Bo Jiang 016; Liang He 001 (CoRR, 2024)

CausalABSC: Causal Inference for Aspect Debiasing in Aspect-Based Sentiment Classification. - Jie Zhou 015; Yuanbiao Lin; Qin Chen 001; Qi Zhang 001; Xuanjing Huang 001; Liang He 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

ChatGPT: potential, prospects, and limitations. - Jie Zhou 015; Pei Ke; Xipeng Qiu; Minlie Huang; Junping Zhang (Frontiers Inf. Technol. Electron. Eng., 2024)

PI-Fed: Continual Federated Learning With Parameter-Level Importance Aggregation. - Lang Yu; Lina Ge; Guanghui Wang 003; Jianghao Yin; Qin Chen 001; Jie Zhou 015; Liang He 001 (IEEE Internet Things J., 2024)

P-React: Synthesizing Topic-Adaptive Reactions of Personality Traits via Mixture of Specialized LoRA Experts. - Yuhao Dan; Jie Zhou 015; Qin Chen 001; Junfeng Tian; Liang He 001 (ACL (Findings), 2025)

Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answering. - Linhao Ye; Lang Yu; Zhikai Lei; Qin Chen 001; Jie Zhou 015; Liang He 001 (ACL (1), 2025)

CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering. - Tianyu Huai; Jie Zhou 015; Xingjiao Wu; Qin Chen 001; Qingchun Bai; Ze Zhou; Liang He 001 (CVPR, 2025)

Multi-MELO: Unified multimodal model editing with dynamic LoRA. - Qin Chen 001; Jianghao Yin; Lang Yu; Jie Zhou 015; Liang He 001 (Expert Syst. Appl., 2025)

Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection. - Kedi Chen; Qin Chen 001; Jie Zhou 015; Xinqi Tao; Bowen Ding; Jingwen Xie; Mingchen Xie; Peilong Li; Feng Zheng; Liang He 001 (CoRR, 2025)

LLM-KT: Aligning Large Language Models with Knowledge Tracing using a Plug-and-Play Instruction. - Ziwei Wang; Jie Zhou 015; Qin Chen 001; Min Zhang; Bo Jiang 016; Aimin Zhou; Qinchun Bai; Liang He 001 (CoRR, 2025)

Code-Driven Inductive Synthesis: Enhancing Reasoning Abilities of Large Language Models with Sequences. - Kedi Chen; Zhikai Lei; Fan Zhang; Yinqi Zhang; Qin Chen 001; Jie Zhou 015; Liang He 001; Qipeng Guo; Kai Chen; Wei Zhang (CoRR, 2025)

Teaching LLMs for Step-Level Automatic Math Correction via Reinforcement Learning. - Junsong Li; Jie Zhou 015; Yutao Yang; Bihao Zhan; Qianjun Pan; Yuyang Ding; Qin Chen 001; Jiang Bo; Xin Lin 001; Liang He 001 (CoRR, 2025)

A Survey of Slow Thinking-based Reasoning LLMs using Reinforced Learning and Inference-time Scaling Law. - Qianjun Pan; Wenkai Ji; Yuyang Ding; Junsong Li; Shilian Chen; Junyi Wang; Jie Zhou 015; Qin Chen 001; Min Zhang; Yulan Wu; Liang He 001 (CoRR, 2025)

Reinforced Interactive Continual Learning via Real-time Noisy Human Feedback. - Yutao Yang; Jie Zhou 015; Junsong Li; Qianjun Pan; Bihao Zhan; Qin Chen 001; Xipeng Qiu; Liang He 001 (CoRR, 2025)

Task-Core Memory Management and Consolidation for Long-term Continual Learning. - Tianyu Huai; Jie Zhou 015; Yuxuan Cai; Qin Chen 001; Wen Wu 006; Xingjiao Wu; Xipeng Qiu; Liang He 001 (CoRR, 2025)

Recent Advances of Foundation Language Models-based Continual Learning: A Survey. - Yutao Yang; Jie Zhou 015; Xuanwen Ding; Tianyu Huai; Shunyu Liu 003; Qin Chen 001; Yuan Xie 006; Liang He 001 (ACM Comput. Surv., 2025)