Jie Zhou - RankMe

131 papers A* 9A 4B 10C 3Misc 3Journal 82Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A survey of slow thinking-based reasoning LLMs using reinforcement learning and test-time scaling law. Inf. Process. Manag. Qianjun Pan, Wenkai Ji, Yuyang Ding, Junsong Li, Shilian Chen, Junyi Wang, Jie Zhou, Qin Chen, Min Zhang, Yulan Wu, Liang He
2026	J	`jnl`	Adaptive Momentum Mixture-of-Experts for Continual Visual Question Answering. IEEE Trans. Circuits Syst. Video Technol. Tianyu Huai, Jie Zhou, Qin Chen, Qingchun Bai, Ze Zhou, Xipeng Qiu, Liang He
2026	J	`jnl`	AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution. CoRR Yutao Yang, Junsong Li, Qianjun Pan, Bihao Zhan, Yuxuan Cai, Lin Du, Jie Zhou, Kai Chen, Qin Chen, Xin Li, Bo Zhang, Liang He
2026	J	`jnl`	Dynamic Multimodal Activation Steering for Hallucination Mitigation in Large Vision-Language Models. CoRR Jianghao Yin, Qin Chen, Kedi Chen, Jie Zhou, Xingjiao Wu, Liang He
2026	A*	`conf`	LifeAlign: Lifelong Alignment for Large Language Models with Memory-Augmented Focalized Preference Optimization. AAAI Junsong Li, Jie Zhou, Bihao Zhan, Yutao Yang, Qianjun Pan, Shilian Chen, Tianyu Huai, Xin Li, Qin Chen, Liang He
2026	J	`jnl`	Mathematical Language Models: A Survey. ACM Comput. Surv. Wentao Liu, Hanglei Hu, Jie Zhou, Yuyang Ding, Junsong Li, Jiayi Zeng, Mengliang He, Qin Chen, Bo Jiang, Aimin Zhou, Liang He
2026	J	`jnl`	Mimic Human Cognition, Master Multi-Image Reasoning: A Meta-Action Framework for Enhanced Visual Understanding. CoRR Jianghao Yin, Qingbin Li, Kun Sun, Cheng Ding, Jie Wang, Qin Chen, Jie Zhou, Nan Wang, Changqing Li, Pei Wu, Jian Xu, Zheming Yang, Liang He
2026	J	`jnl`	PRMB: Benchmarking Reward Models in Long-Horizon CBT-based Counseling Dialogue. CoRR Yougen Zhou, Qin Chen, Ningning Zhou, Jie Zhou, Liang He
2026	J	`jnl`	PsychEval: A Multi-Session and Multi-Therapy Benchmark for High-Realism AI Psychological Counselor. CoRR Qianjun Pan, Junyi Wang, Jie Zhou, Yutao Yang, Junsong Li, Kaiyin Xu, Yougen Zhou, Yihan Li, Jingyuan Zhao, Qin Chen, Ningning Zhou, Kai Chen, Liang He
2025	J	`jnl`	A Survey of Inductive Reasoning for Large Language Models. CoRR Kedi Chen, Dezhao Ruan, Yuhao Dan, Yaoting Wang, Siyu Yan, Xuecheng Wu, Yinqi Zhang, Qin Chen, Jie Zhou, Liang He, Biqing Qi, Linyang Li, Qipeng Guo, Xiaoming Shi, Wei Zhang
2025	J	`jnl`	A Survey of Slow Thinking-based Reasoning LLMs using Reinforced Learning and Inference-time Scaling Law. CoRR Qianjun Pan, Wenkai Ji, Yuyang Ding, Junsong Li, Shilian Chen, Junyi Wang, Jie Zhou, Qin Chen, Min Zhang, Yulan Wu, Liang He
2025	J	`jnl`	Black-box Model Merging for Language-Model-as-a-Service with Massive Model Repositories. CoRR Shilian Chen, Jie Zhou, Tianyu Huai, Yujiang Lu, Junsong Li, Bihao Zhan, Qianjun Pan, Yutao Yang, Xin Li, Qin Chen, Hang Yan, Liang He
2025	J	`jnl`	Building Self-Evolving Agents via Experience-Driven Lifelong Learning: A Framework and Benchmark. CoRR Yuxuan Cai, Yipeng Hao, Jie Zhou, Hang Yan, Zhikai Lei, Rui Zhen, Zhenhua Han, Yutao Yang, Junsong Li, Qianjun Pan, Tianyu Huai, Qin Chen, Xin Li, Kai Chen, Bo Zhang, Xipeng Qiu, Liang He
2025	A*	`conf`	CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering. CVPR Tianyu Huai, Jie Zhou, Xingjiao Wu, Qin Chen, Qingchun Bai, Ze Zhou, Liang He
2025	J	`jnl`	CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering. CoRR Tianyu Huai, Jie Zhou, Xingjiao Wu, Qin Chen, Qingchun Bai, Ze Zhou, Liang He
2025	A*	`conf`	CMM-Math: A Chinese Multimodal Math Dataset To Evaluate and Enhance the Mathematics Reasoning of Large Multimodal Models. ACM Multimedia Wentao Liu, Qianjun Pan, Yi Zhang, Zhuo Liu, Ji Wu, Jie Zhou, Aimin Zhou, Qin Chen, Bo Jiang, Liang He
2025	J	`jnl`	CoDoL: Conditional Domain Prompt Learning for Out-of-Distribution Generalization. CoRR Min Zhang, Bo Jiang, Jie Zhou, Yimeng Liu, Xin Lin
2025	J	`jnl`	Code-Driven Inductive Synthesis: Enhancing Reasoning Abilities of Large Language Models with Sequences. CoRR Kedi Chen, Zhikai Lei, Fan Zhang, Yinqi Zhang, Qin Chen, Jie Zhou, Liang He, Qipeng Guo, Kai Chen, Wei Zhang
2025	J	`jnl`	Code-driven Number Sequence Calculation: Enhancing the inductive Reasoning Abilities of Large Language Models. CoRR Kedi Chen, Zhikai Lei, Xu Guo, Xuecheng Wu, Siyuan Zeng, Jianghao Yin, Yinqi Zhang, Qin Chen, Jie Zhou, Liang He, Qipeng Guo, Kai Chen, Wei Zhang
2025	J	`jnl`	DiaCBT: A Long-Periodic Dialogue Corpus Guided by Cognitive Conceptualization Diagram for CBT-based Psychological Counseling. CoRR Yougen Zhou, Ningning Zhou, Qin Chen, Jie Zhou, Aimin Zhou, Liang He
2025	—	`conf`	EduMate: LLM-Powered Detection of Student Learning Emotions and Efficacy in Semi-structured Counseling. NLPCC (1) Zhiyan Tie, Qin Chen, Feng Liu, Jie Zhou, Liang He
2025	—	`conf`	Enhancing Depression-Diagnosis-Oriented Chat with Psychological State Tracking. NLPCC (3) Yiyang Gu, Yougen Zhou, Qin Chen, Ningning Zhou, Jie Zhou, Aimin Zhou, Liang He
2025	A*	`conf`	Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection. AAAI Kedi Chen, Qin Chen, Jie Zhou, Xinqi Tao, Bowen Ding, Jingwen Xie, Mingchen Xie, Peilong Li, Feng Zheng
2025	J	`jnl`	Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection. CoRR Kedi Chen, Qin Chen, Jie Zhou, Xinqi Tao, Bowen Ding, Jingwen Xie, Mingchen Xie, Peilong Li, Feng Zheng, Liang He
2025	J	`jnl`	Forget What's Sensitive, Remember What Matters: Token-Level Differential Privacy in Memory Sculpting for Continual Learning. CoRR Bihao Zhan, Jie Zhou, Junsong Li, Yutao Yang, Shilian Chen, Qianjun Pan, Xin Li, Wen Wu, Xingjiao Wu, Qin Chen, Hang Yan, Liang He
2025	J	`jnl`	LLM-KT: Aligning Large Language Models with Knowledge Tracing using a Plug-and-Play Instruction. CoRR Ziwei Wang, Jie Zhou, Qin Chen, Min Zhang, Bo Jiang, Aimin Zhou, Qinchun Bai, Liang He
2025	J	`jnl`	Large Language Models have Chain-of-Affective. CoRR Junjie Xu, Xingjiao Wu, Luwei Xiao, Yuzhe Yang, Jie Zhou, Zihao Zhang, Luhan Wang, Yi Huang, Nan Wu, Yingbin Zheng, Chao Yan, Cheng Jin, Honglin Li, Liang He
2025	J	`jnl`	LifeAlign: Lifelong Alignment for Large Language Models with Memory-Augmented Focalized Preference Optimization. CoRR Junsong Li, Jie Zhou, Bihao Zhan, Yutao Yang, Qianjun Pan, Shilian Chen, Tianyu Huai, Xin Li, Qin Chen, Liang He
2025	J	`jnl`	Mitigating Strategy Preference Bias in Emotional Support Conversation via Uncertainty Estimations. CoRR Yougen Zhou, Qin Chen, Ningning Zhou, Jie Zhou, Xingjiao Wu, Liang He
2025	J	`jnl`	Multi-MELO: Unified multimodal model editing with dynamic LoRA. Expert Syst. Appl. Qin Chen, Jianghao Yin, Lang Yu, Jie Zhou, Liang He
2025	—	`conf`	Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answering. ACL (1) Linhao Ye, Lang Yu, Zhikai Lei, Qin Chen, Jie Zhou, Liang He
2025	J	`jnl`	Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answering. CoRR Linhao Ye, Lang Yu, Zhikai Lei, Qin Chen, Jie Zhou, Liang He
2025	—	`conf`	P-React: Synthesizing Topic-Adaptive Reactions of Personality Traits via Mixture of Specialized LoRA Experts. ACL (Findings) Yuhao Dan, Jie Zhou, Qin Chen, Junfeng Tian, Liang He
2025	J	`jnl`	Protein-SE(3): Benchmarking SE(3)-based Generative Models for Protein Structure Design. CoRR Lang Yu, Zhangyang Gao, Cheng Tan, Qin Chen, Jie Zhou, Liang He
2025	J	`jnl`	Recent Advances of Foundation Language Models-based Continual Learning: A Survey. ACM Comput. Surv. Yutao Yang, Jie Zhou, Xuanwen Ding, Tianyu Huai, Shunyu Liu, Qin Chen, Yuan Xie, Liang He
2025	J	`jnl`	Reinforced Interactive Continual Learning via Real-time Noisy Human Feedback. CoRR Yutao Yang, Jie Zhou, Junsong Li, Qianjun Pan, Bihao Zhan, Qin Chen, Xipeng Qiu, Liang He
2025	J	`jnl`	Task-Core Memory Management and Consolidation for Long-term Continual Learning. CoRR Tianyu Huai, Jie Zhou, Yuxuan Cai, Qin Chen, Wen Wu, Xingjiao Wu, Xipeng Qiu, Liang He
2025	A	`conf`	Teaching LLMs for Step-Level Automatic Math Correction via Reinforcement Learning. ICME Junsong Li, Jie Zhou, Yutao Yang, Bihao Zhan, Qianjun Pan, Yuyang Ding, Qin Chen, Jiang Bo, Xin Lin, Liang He
2025	J	`jnl`	Teaching LLMs for Step-Level Automatic Math Correction via Reinforcement Learning. CoRR Junsong Li, Jie Zhou, Yutao Yang, Bihao Zhan, Qianjun Pan, Yuyang Ding, Qin Chen, Jiang Bo, Xin Lin, Liang He
2024	—	`conf`	A Regularization-based Transfer Learning Method for Information Extraction via Instructed Graph Decoder. LREC/COLING Kedi Chen, Jie Zhou, Qin Chen, Shunyu Liu, Liang He
2024	J	`jnl`	A Regularization-based Transfer Learning Method for Information Extraction via Instructed Graph Decoder. CoRR Kedi Chen, Jie Zhou, Qin Chen, Shunyu Liu, Liang He
2024	Misc	`conf`	A Soft Contrastive Learning-Based Prompt Model for Few-Shot Sentiment Analysis. ICASSP Jingyi Zhou, Jie Zhou, Jiabao Zhao, Siyin Wang, Haijun Shan, Tao Gui, Qi Zhang, Xuanjing Huang
2024	A*	`conf`	Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check. SIGIR Linhao Ye, Zhikai Lei, Jianghao Yin, Qin Chen, Jie Zhou, Liang He
2024	J	`jnl`	Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check. CoRR Linhao Ye, Zhikai Lei, Jianghao Yin, Qin Chen, Jie Zhou, Liang He
2024	—	`conf`	Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis. EMNLP (Findings) Xuanwen Ding, Jie Zhou, Liang Dou, Qin Chen, Yuanbin Wu, Arlene Chen, Liang He
2024	J	`jnl`	Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis. CoRR Xuanwen Ding, Jie Zhou, Liang Dou, Qin Chen, Yuanbin Wu, Chengcai Chen, Liang He
2024	A	`conf`	Boosting Large Language Models with Socratic Method for Conversational Mathematics Teaching. CIKM Yuyang Ding, Hanglei Hu, Jie Zhou, Qin Chen, Bo Jiang, Liang He
2024	J	`jnl`	Boosting Large Language Models with Socratic Method for Conversational Mathematics Teaching. CoRR Yuyang Ding, Hanglei Hu, Jie Zhou, Qin Chen, Bo Jiang, Liang He
2024	J	`jnl`	CMM-Math: A Chinese Multimodal Math Dataset To Evaluate and Enhance the Mathematics Reasoning of Large Multimodal Models. CoRR Wentao Liu, Qianjun Pan, Yi Zhang, Zhuo Liu, Ji Wu, Jie Zhou, Aimin Zhou, Qin Chen, Bo Jiang, Liang He
2024	J	`jnl`	CausalABSC: Causal Inference for Aspect Debiasing in Aspect-Based Sentiment Classification. IEEE ACM Trans. Audio Speech Lang. Process. Jie Zhou, Yuanbiao Lin, Qin Chen, Qi Zhang, Xuanjing Huang, Liang He
2024	J	`jnl`	ChatGPT: potential, prospects, and limitations. Frontiers Inf. Technol. Electron. Eng. Jie Zhou, Pei Ke, Xipeng Qiu, Minlie Huang, Junping Zhang
2024	—	`conf`	DiaHalu: A Dialogue-level Hallucination Evaluation Benchmark for Large Language Models. EMNLP (Findings) Kedi Chen, Qin Chen, Jie Zhou, Yishen He, Liang He
2024	J	`jnl`	DiaHalu: A Dialogue-level Hallucination Evaluation Benchmark for Large Language Models. CoRR Kedi Chen, Qin Chen, Jie Zhou, Yishen He, Liang He
2024	—	`conf`	Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis. LREC/COLING Siyin Wang, Jie Zhou, Qin Chen, Qi Zhang, Tao Gui, Xuanjing Huang
2024	J	`jnl`	Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis. CoRR Siyin Wang, Jie Zhou, Qin Chen, Qi Zhang, Tao Gui, Xuanjing Huang
2024	J	`jnl`	Enhancing Depression-Diagnosis-Oriented Chat with Psychological State Tracking. CoRR Yiyang Gu, Yougen Zhou, Qin Chen, Ningning Zhou, Jie Zhou, Aimin Zhou, Liang He
2024	B	`conf`	Enhancing Event Causality Identification with Rationale and Structure-Aware Causal Question Answering. IJCNN Baiyan Zhang, Qin Chen, Jie Zhou, Jian Jin, Liang He
2024	J	`jnl`	Enhancing Event Causality Identification with Rationale and Structure-Aware Causal Question Answering. CoRR Baiyan Zhang, Qin Chen, Jie Zhou, Jian Jin, Liang He
2024	J	`jnl`	LLM-DA: Data Augmentation via Large Language Models for Few-Shot Named Entity Recognition. CoRR Junjie Ye, Nuo Xu, Yikun Wang, Jie Zhou, Qi Zhang, Tao Gui, Xuanjing Huang
2024	—	`conf`	Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis. LREC/COLING Zhenxiao Cheng, Jie Zhou, Wen Wu, Qin Chen, Liang He
2024	J	`jnl`	Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis. CoRR Zhenxiao Cheng, Jie Zhou, Wen Wu, Qin Chen, Liang He
2024	—	`conf`	Let's Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Models. LREC/COLING Shunyu Liu, Jie Zhou, Qunxi Zhu, Qin Chen, Qingchun Bai, Jun Xiao, Liang He
2024	J	`jnl`	Let's Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Models. CoRR Shunyu Liu, Jie Zhou, Qunxi Zhu, Qin Chen, Qingchun Bai, Jun Xiao, Liang He
2024	A*	`conf`	MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA. AAAI Lang Yu, Qin Chen, Jie Zhou, Liang He
2024	—	`conf`	Modeling Comparative Logical Relation with Contrastive Learning for Text Generation. NLPCC (4) Yuhao Dan, Junfeng Tian, Jie Zhou, Ming Yan, Ji Zhang, Qin Chen, Liang He
2024	J	`jnl`	Modeling Comparative Logical Relation with Contrastive Learning for Text Generation. CoRR Yuhao Dan, Junfeng Tian, Jie Zhou, Ming Yan, Ji Zhang, Qin Chen, Liang He
2024	J	`jnl`	P-Tailor: Customizing Personality Traits for Language Models via Mixture of Specialized LoRA Experts. CoRR Yuhao Dan, Jie Zhou, Qin Chen, Junfeng Tian, Liang He
2024	J	`jnl`	PI-Fed: Continual Federated Learning With Parameter-Level Importance Aggregation. IEEE Internet Things J. Lang Yu, Lina Ge, Guanghui Wang, Jianghao Yin, Qin Chen, Jie Zhou, Liang He
2024	—	`conf`	Prompt Debiasing via Causal Intervention for Event Argument Extraction. NLPCC (2) Jiaju Lin, Jie Zhou, Qin Chen
2024	J	`jnl`	Recent Advances of Foundation Language Models-based Continual Learning: A Survey. CoRR Yutao Yang, Jie Zhou, Xuanwen Ding, Tianyu Huai, Shunyu Liu, Qin Chen, Liang He, Yuan Xie
2023	J	`jnl`	A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models. CoRR 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
2023	J	`jnl`	A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition. CoRR Limao Xiong, Jie Zhou, Qunxi Zhu, Xiao Wang, Yuanbin Wu, Qi Zhang, Tao Gui, Xuanjing Huang, Jin Ma, Ying Shan
2023	J	`jnl`	A Soft Contrastive Learning-based Prompt Model for Few-shot Sentiment Analysis. CoRR Jingyi Zhou, Jie Zhou, Jiabao Zhao, Siyin Wang, Haijun Shan, Gui Tao, Qi Zhang, Xuanjing Huang
2023	J	`jnl`	A weakly supervised knowledge attentive network for aspect-level sentiment classification. J. Supercomput. Qingchun Bai, Jun Xiao, Jie Zhou
2023	J	`jnl`	Cross-modal fine-grained alignment and fusion network for multimodal aspect-based sentiment analysis. Inf. Process. Manag. Luwei Xiao, Xingjiao Wu, Shuwen Yang, Junjie Xu, Jie Zhou, Liang He
2023	J	`jnl`	EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education. CoRR 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
2023	—	`conf`	Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model. ACL (Findings) Xiao Wang, Weikang Zhou, Qi Zhang, Jie Zhou, Songyang Gao, Junzhe Wang, Menghan Zhang, Xiang Gao, Yunwen Chen, Tao Gui
2023	J	`jnl`	Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model. CoRR Xiao Wang, Weikang Zhou, Qi Zhang, Jie Zhou, Songyang Gao, Junzhe Wang, Menghan Zhang, Xiang Gao, Yunwen Chen, Tao Gui
2023	J	`jnl`	How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks. CoRR Xuanting Chen, Junjie Ye, Can Zu, Nuo Xu, Rui Zheng, Minlong Peng, Jie Zhou, Tao Gui, Qi Zhang, Xuanjing Huang
2023	—	`conf`	Informative Prompt Learning for Low-Shot Commonsense Question Answering via Fine-Grained Redundancy Reduction. ICONIP (14) Zhikai Lei, Jie Zhou, Qin Chen, Qi Zhang, Liang He
2023	J	`jnl`	MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA. CoRR Lang Yu, Qin Chen, Jie Zhou, Liang He
2023	J	`jnl`	Mathematical Language Models: A Survey. CoRR Wentao Liu, Hanglei Hu, Jie Zhou, Yuyang Ding, Junsong Li, Jiayi Zeng, Mengliang He, Qin Chen, Bo Jiang, Aimin Zhou, Liang He
2023	B	`conf`	Modeling Intra- and Inter-Modal Alignment with Optimal Transport for Visual Dialog. ICTAI Renjie Zheng, Qin Chen, Jie Zhou, Junfeng Tian, Liang He
2023	J	`jnl`	Multi-modal multi-hop interaction network for dialogue response generation. Expert Syst. Appl. Jie Zhou, Junfeng Tian, Rui Wang, Yuanbin Wu, Ming Yan, Liang He, Xuanjing Huang
2023	J	`jnl`	RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification. CoRR Junjie Ye, Jie Zhou, Junfeng Tian, Rui Wang, Qi Zhang, Tao Gui, Xuanjing Huang
2023	Misc	`conf`	Tell Model Where to Attend: Improving Interpretability of Aspect-Based Sentiment Classification via Small Explanation Annotations. ICASSP Zhenxiao Cheng, Jie Zhou, Wen Wu, Qin Chen, Liang He
2023	J	`jnl`	Tell Model Where to Attend: Improving Interpretability of Aspect-Based Sentiment Classification via Small Explanation Annotations. CoRR Zhenxiao Cheng, Jie Zhou, Wen Wu, Qin Chen, Liang He
2022	B	`conf`	A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis. IJCNN Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Jun Xiao, Liang He
2022	J	`jnl`	A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis. CoRR Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Jun Xiao, Liang He
2022	B	`conf`	A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck. COLING Jie Zhou, Qi Zhang, Qin Chen, Liang He, Xuanjing Huang
2022	J	`jnl`	A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck. CoRR Jie Zhou, Qi Zhang, Qin Chen, Liang He, Xuanjing Huang
2022	B	`conf`	An Information Minimization Based Contrastive Learning Model for Unsupervised Sentence Embeddings Learning. COLING Shaobin Chen, Jie Zhou, Yuling Sun, Liang He
2022	J	`jnl`	An Information Minimization Based Contrastive Learning Model for Unsupervised Sentence Embeddings Learning. CoRR Shaobin Chen, Jie Zhou, Yuling Sun, Liang He
2022	A*	`conf`	CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extraction. IJCAI Jiaju Lin, Qin Chen, Jie Zhou, Jian Jin, Liang He
2022	J	`jnl`	CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extraction. CoRR Jiaju Lin, Qin Chen, Jie Zhou, Jian Jin, Liang He
2022	B	`conf`	Causal Intervention Improves Implicit Sentiment Analysis. COLING Siyin Wang, Jie Zhou, Changzhi Sun, Junjie Ye, Tao Gui, Qi Zhang, Xuanjing Huang
2022	J	`jnl`	Causal Intervention Improves Implicit Sentiment Analysis. CoRR Siyin Wang, Jie Zhou, Changzhi Sun, Junjie Ye, Tao Gui, Qi Zhang, Xuanjing Huang
2022	J	`jnl`	Causal Intervention-based Prompt Debiasing for Event Argument Extraction. CoRR Jiaju Lin, Jie Zhou, Qin Chen
2022	J	`jnl`	DualGCN: An Aspect-Aware Dual Graph Convolutional Network for review-based recommender. Knowl. Based Syst. Liye Shi, Wen Wu, Wenxin Hu, Jie Zhou, Jiayi Chen, Wei Zheng, Liang He
2022	—	`conf`	ECNU_ICA at SemEval-2022 Task 10: A Simple and Unified Model for Monolingual and Crosslingual Structured Sentiment Analysis. SemEval@NAACL Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Jun Xiao, Liang He
2022	Misc	`conf`	Enhancing Class Understanding Via Prompt-Tuning For Zero-Shot Text Classification. ICASSP Yuhao Dan, Jie Zhou, Qin Chen, Qingchun Bai, Liang He
2022	A*	`conf`	Enhancing Event-Level Sentiment Analysis with Structured Arguments. SIGIR Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Liang He
2022	J	`jnl`	Enhancing Event-Level Sentiment Analysis with Structured Arguments. CoRR Qi Zhang, Jie Zhou, Qin Chen, Qinchun Bai, Liang He
2022	J	`jnl`	PG-RNN: using position-gated recurrent neural networks for aspect-based sentiment classification. J. Supercomput. Qingchun Bai, Jie Zhou, Liang He
2022	J	`jnl`	Sentiment-aware multimodal pre-training for multimodal sentiment analysis. Knowl. Based Syst. Junjie Ye, Jie Zhou, Junfeng Tian, Rui Wang, Jingyi Zhou, Tao Gui, Qi Zhang, Xuanjing Huang
2021	J	`jnl`	Aligned variational autoencoder for matching danmaku and video storylines. Neurocomputing Qingchun Bai, Yuanbin Wu, Jie Zhou, Liang He
2021	—	`conf`	Attending via both Fine-tuning and Compressing. ACL/IJCNLP (Findings) Jie Zhou, Yuanbin Wu, Qin Chen, Xuanjing Huang, Liang He
2021	J	`jnl`	Entity-level sentiment prediction in Danmaku video interaction. J. Supercomput. Qingchun Bai, Kai Wei, Jie Zhou, Chao Xiong, Yuanbin Wu, Xin Lin, Liang He
2021	A	`conf`	Is "hot pizza" Positive or Negative? Mining Target-aware Sentiment Lexicons. EACL Jie Zhou, Yuanbin Wu, Changzhi Sun, Liang He
2021	J	`jnl`	MASAD: A large-scale dataset for multimodal aspect-based sentiment analysis. Neurocomputing Jie Zhou, Jiabao Zhao, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He
2021	C	`conf`	Working with Few Samples: Methods that Help Analyze Social Attitude and Personal Emotion. CSCWD Mengwen Liang, Jie Zhou, Yuling Sun, Liang He
2020	—	`conf`	ECNU-SenseMaker at SemEval-2020 Task 4: Leveraging Heterogeneous Knowledge Resources for Commonsense Validation and Explanation. SemEval@COLING Qian Zhao, Siyu Tao, Jie Zhou, Linlin Wang, Xin Lin, Liang He
2020	J	`jnl`	ECNU-SenseMaker at SemEval-2020 Task 4: Leveraging Heterogeneous Knowledge Resources for Commonsense Validation and Explanation. CoRR Qian Zhao, Siyu Tao, Jie Zhou, Linlin Wang, Xin Lin, Liang He
2020	J	`jnl`	Is position important? deep multi-task learning for aspect-based sentiment analysis. Appl. Intell. Jie Zhou, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He
2020	A	`conf`	Knowledge-Based Fine-Grained Classification For Few-Shot Learning. ICME Jiabao Zhao, Xin Lin, Jie Zhou, Jing Yang, Liang He, Zhaohui Yang
2020	—	`conf`	Modeling Multi-aspect Relationship with Joint Learning for Aspect-Level Sentiment Classification. DASFAA (1) Jie Zhou, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He
2020	J	`jnl`	Position-aware hierarchical transfer model for aspect-level sentiment classification. Inf. Sci. Jie Zhou, Qin Chen, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He
2020	J	`jnl`	Retrieval-Polished Response Generation for Chatbot. IEEE Access Liang Zhang, Yan Yang, Jie Zhou, Chengcai Chen, Liang He
2020	J	`jnl`	SK-GCN: Modeling Syntax and Knowledge via Graph Convolutional Network for aspect-level sentiment classification. Knowl. Based Syst. Jie Zhou, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He
2020	B	`conf`	SentiX: A Sentiment-Aware Pre-Trained Model for Cross-Domain Sentiment Analysis. COLING Jie Zhou, Junfeng Tian, Rui Wang, Yuanbin Wu, Wenming Xiao, Liang He
2020	B	`conf`	TERG: Topic-Aware Emotional Response Generation for Chatbot. IJCNN Pei Huo, Yan Yang, Jie Zhou, Chengcai Chen, Liang He
2019	J	`jnl`	A New Digital Signal Processing Based Model With Multi-Aspect Term Frequency for Information Retrieval. IEEE Access Zhiwei Ying, Jimmy Xiangji Huang, Jie Zhou
2019	B	`conf`	Aspect-level Sentiment Classification with Reinforcement Learning. IJCNN Tingting Wang, Jie Zhou, Qinmin Vivian Hu, Liang He
2019	J	`jnl`	DSPF: A Digital Signal Processing Based Framework for Information Retrieval. IEEE Access Zhiwei Ying, Jimmy Xiangji Huang, Jie Zhou, Fanghong Jian, Tingting He
2019	J	`jnl`	Deep Learning for Aspect-Level Sentiment Classification: Survey, Vision, and Challenges. IEEE Access Jie Zhou, Jimmy Xiangji Huang, Qin Chen, Qinmin Vivian Hu, Tingting Wang, Liang He
2019	C	`conf`	iCare Designer: A Rule-Driven Layout Co-Designing System for Elderly Caring. CSCWD Yuling Sun, Jie Zhou, Dong Yao, Liang He
2018	C	`conf`	A Data Driven Collaborative Caring Framework for Aging in Place in China. CSCWD Jie Zhou, Yuling Sun, Liang He
2018	—	`conf`	ECNU at MC2 2018 Task 2: Mining Opinion Argumentation. CLEF (Working Notes) Jie Zhou, Qi Zhang, Qinmin Hu, Liang He
2018	—	`conf`	Multi-model Hybrid Traffic Flow Forecast Algorithm Based on Multivariate Data. ChineseCSCW Jie Zhou, Yuling Sun, Liang He
2018	A*	`conf`	SNNN: Promoting Word Sentiment and Negation in Neural Sentiment Classification. AAAI Qinmin Hu, Jie Zhou, Qin Chen, Liang He
2017	B	`conf`	Modeling User-Item Profiles with Neural Networks for Rating Prediction. ICTAI Lu Chen, Jie Zhou, Liang He, Qin Chen, Jiacheng Zhang, Yan Yang