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ORCIDQin Chen 0001
Person information
- affiliation: East China Normal University (ECNU), Shanghai, China
- affiliation (former): Fudan University, Shanghai, China
Other persons with the same name
- Qin Chen — disambiguation page
- Qin Chen 0002
![[0000-0002-4696-2577]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-4696-2577")
— University of Science and Technology, School of Economics and Management, Beijing, China (and 1 more) - Qin Chen 0003 — China Aerodynamic Research & Development Center, Facility Design and Instrument Institute, Mianyang, China (and 1 more)
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2020 – today
- 2025
[j9]Yutao Yang, Jie Zhou, Xuanwen Ding, Tianyu Huai, Shunyu Liu, Qin Chen, Yuan Xie, Liang He:
Recent Advances of Foundation Language Models-based Continual Learning: A Survey. ACM Comput. Surv. 57(5): 112:1-112:38 (2025)- [j8]Qin Chen, Jianghao Yin, Lang Yu, Jie Zhou, Liang He:
Multi-MELO: Unified multimodal model editing with dynamic LoRA. Expert Syst. Appl. 273: 126766 (2025) - [i34]Kedi Chen, Qin Chen, Jie Zhou, Xinqi Tao, Bowen Ding, Jingwen Xie, Mingchen Xie, Peilong Li, Feng Zheng, Liang He:
Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection. CoRR abs/2501.02020 (2025) - [i33]Ziwei Wang, Jie Zhou, Qin Chen, Min Zhang, Bo Jiang, Aimin Zhou, Qinchun Bai, Liang He:
LLM-KT: Aligning Large Language Models with Knowledge Tracing using a Plug-and-Play Instruction. CoRR abs/2502.02945 (2025) - [i32]Tianyu Huai, Jie Zhou, Xingjiao Wu, Qin Chen, Qingchun Bai, Ze Zhou, Liang He:
CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering. CoRR abs/2503.00413 (2025) - [i31]Kedi Chen, Zhikai Lei, Fan Zhang, Yinqi Zhang, Qin Chen, Jie Zhou, Liang He, Qipeng Guo, Kai Chen, Wei Zhang:
Code-Driven Inductive Synthesis: Enhancing Reasoning Abilities of Large Language Models with Sequences. CoRR abs/2503.13109 (2025) - [i30]Junsong Li, Jie Zhou, Yutao Yang, Bihao Zhan, Qianjun Pan, Yuyang Ding, Qin Chen, Jiang Bo, Xin Lin, Liang He:
Teaching LLMs for Step-Level Automatic Math Correction via Reinforcement Learning. CoRR abs/2503.18432 (2025) - 2024
- [j7]Lang Yu, Lina Ge, Guanghui Wang, Jianghao Yin, Qin Chen, Jie Zhou, Liang He:
PI-Fed: Continual Federated Learning With Parameter-Level Importance Aggregation. IEEE Internet Things J. 11(22): 37187-37199 (2024) - [j6]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) - [c42]Lang Yu, Qin Chen, Jie Zhou, Liang He:
MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA. AAAI 2024: 19449-19457 - [c41]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 - [c40]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 - [c39]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 - [c38]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 - [c37]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 - [c36]Xuanwen Ding, Jie Zhou, Liang Dou, Qin Chen, Yuanbin Wu, Arlene Chen, Liang He:
Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis. EMNLP (Findings) 2024: 4367-4377 - [c35]Kedi Chen, Qin Chen, Jie Zhou, Yishen He, Liang He:
DiaHalu: A Dialogue-level Hallucination Evaluation Benchmark for Large Language Models. EMNLP (Findings) 2024: 9057-9079 - [c34]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 - [c33]Jiaju Lin, Jie Zhou, Qin Chen:
Prompt Debiasing via Causal Intervention for Event Argument Extraction. NLPCC (2) 2024: 96-108 - [c32]Yuhao Dan, Junfeng Tian, Jie Zhou, Ming Yan, Ji Zhang, Qin Chen, Liang He:
Modeling Comparative Logical Relation with Contrastive Learning for Text Generation. NLPCC (4) 2024: 107-119 - [c31]Linhao Ye, Zhikai Lei, Jianghao Yin, Qin Chen, Jie Zhou, Liang He:
Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check. SIGIR 2024: 2301-2305 - [i29]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) - [i28]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) - [i27]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) - [i26]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) - [i25]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) - [i24]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) - [i23]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) - [i22]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) - [i21]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) - [i20]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) - [i19]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) - [i18]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) - [i17]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) - [i16]Wentao Liu, Qianjun Pan, Yi Zhang, Zhuo Liu, Ji Wu, Jie Zhou, Aimin Zhou, Qin Chen, Bo Jiang, Liang He:
CMM-Math: A Chinese Multimodal Math Dataset To Evaluate and Enhance the Mathematics Reasoning of Large Multimodal Models. CoRR abs/2409.02834 (2024) - 2023
- [c30]Xin Li, Tao Ma, Yuenan Hou, Botian Shi, Yuchen Yang, Youquan Liu, Xingjiao Wu, Qin Chen, Yikang Li, Yu Qiao, Liang He:
LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross- Modal Fusion. CVPR 2023: 17524-17534 - [c29]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 - [c28]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 - [c27]Renjie Zheng, Qin Chen, Jie Zhou, Junfeng Tian, Liang He:
Modeling Intra- and Inter-Modal Alignment with Optimal Transport for Visual Dialog. ICTAI 2023: 805-812 - [c26]Lang Yu, Qin Chen, Jiaju Lin, Liang He:
Black-box Prompt Tuning for Vision-Language Model as a Service. IJCAI 2023: 1686-1694 - [i15]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) - [i14]Xin Li, Tao Ma, Yuenan Hou, Botian Shi, Yuchen Yang, Youquan Liu, Xingjiao Wu, Qin Chen, Yikang Li, Yu Qiao, Liang He:
LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusion. CoRR abs/2303.03595 (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]Wentao Liu, Hanglei Hu, Jie Zhou, Yuyang Ding, Junsong Li, Jiayi Zeng, Mengliang He, Qin Chen, Bo Jiang, Aimin Zhou, Liang He:
Mathematical Language Models: A Survey. CoRR abs/2312.07622 (2023) - [i11]Lang Yu, Qin Chen, Jie Zhou, Liang He:
MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA. CoRR abs/2312.11795 (2023) - 2022
- [c25]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 - [c24]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 - [c23]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 - [c22]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 - [c21]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 - [c20]Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Liang He:
Enhancing Event-Level Sentiment Analysis with Structured Arguments. SIGIR 2022: 1944-1949 - [i10]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) - [i9]Qi Zhang, Jie Zhou, Qin Chen, Qinchun Bai, Liang He:
Enhancing Event-Level Sentiment Analysis with Structured Arguments. CoRR abs/2205.15511 (2022) - [i8]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) - [i7]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) - [i6]Jiaju Lin, Jie Zhou, Qin Chen:
Causal Intervention-based Prompt Debiasing for Event Argument Extraction. CoRR abs/2210.01561 (2022) - 2021
- [c19]Jie Zhou, Yuanbin Wu, Qin Chen, Xuanjing Huang, Liang He:
Attending via both Fine-tuning and Compressing. ACL/IJCNLP (Findings) 2021: 2152-2161 - [c18]Ruipu Luo, Qi Zhu, Qin Chen, Siyuan Wang, Zhongyu Wei, Weijian Sun, Shuang Tang:
Operation Diagnosis on Procedure Graph: The Task and Dataset. CIKM 2021: 3288-3292 - [c17]Jiabo Ye, Xin Lin, Liang He, Dingbang Li, Qin Chen:
One-Stage Visual Grounding via Semantic-Aware Feature Filter. ACM Multimedia 2021: 1702-1711 - [c16]Jiaju Lin, Jing Ling, Zhiwei Wang, Jiawei Liu, Qin Chen, Liang He:
ECNUICA at SemEval-2021 Task 11: Rule based Information Extraction Pipeline. SemEval@ACL/IJCNLP 2021: 1295-1302 - [i5]Xingjiao Wu, Tianlong Ma, Xin Li, Qin Chen, Liang He:
Human-In-The-Loop Document Layout Analysis. CoRR abs/2108.02095 (2021) - [i4]Jiaju Lin, Jin Jian, Qin Chen:
Eliciting Knowledge from Language Models for Event Extraction. CoRR abs/2109.05190 (2021) - [i3]Jiayu Ding, Siyuan Wang, Qin Chen, Zhongyu Wei:
Reasoning Chain Based Adversarial Attack for Multi-hop Question Answering. CoRR abs/2112.09658 (2021) - 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]Yu Ji, Wen Wu, Shiyun Chen, Qin Chen, Wenxin Hu, Liang He:
Two-stage sentiment classification based on user-product interactive information. Knowl. Based Syst. 203: 106091 (2020) - [c15]Yun He, Ziwei Zhu, Yin Zhang, Qin Chen, James Caverlee:
Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition. EMNLP (1) 2020: 4604-4614 - [c14]Yanjian Zhang, Qin Chen, Yiteng Zhang, Zhongyu Wei, Yixu Gao, Jiajie Peng, Zengfeng Huang, Weijian Sun, Xuanjing Huang:
Automatic Term Name Generation for Gene Ontology: Task and Dataset. EMNLP (Findings) 2020: 4705-4710 - [i2]Kangenbei Liao, Qianlong Liu, Zhongyu Wei, Baolin Peng, Qin Chen, Weijian Sun, Xuanjing Huang:
Task-oriented Dialogue System for Automatic Disease Diagnosis via Hierarchical Reinforcement Learning. CoRR abs/2004.14254 (2020) - [i1]Yun He, Ziwei Zhu, Yin Zhang, Qin Chen, James Caverlee:
Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition. CoRR abs/2010.03746 (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) - [c13]Yiying Yang, Zhongyu Wei, Qin Chen, Libo Wu:
Using External Knowledge for Financial Event Prediction Based on Graph Neural Networks. CIKM 2019: 2161-2164 - [c12]Xinzhu Lin, Xiahui He, Qin Chen, Huaixiao Tou, Zhongyu Wei, Ting Chen:
Enhancing Dialogue Symptom Diagnosis with Global Attention and Symptom Graph. EMNLP/IJCNLP (1) 2019: 5032-5041 - 2018
- [j2]Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He:
Modeling Queries with Contextual Snippets for Information Retrieval. ACM Trans. Intell. Syst. Technol. 9(4): 47:1-47:26 (2018) - [j1]Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He:
TAKer: Fine-Grained Time-Aware Microblog Search with Kernel Density Estimation. IEEE Trans. Knowl. Data Eng. 30(8): 1602-1615 (2018) - [c11]Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He:
CA-RNN: Using Context-Aligned Recurrent Neural Networks for Modeling Sentence Similarity. AAAI 2018: 265-273 - [c10]Qinmin Hu, Jie Zhou, Qin Chen, Liang He:
SNNN: Promoting Word Sentiment and Negation in Neural Sentiment Classification. AAAI 2018: 3255-3262 - [c9]Yang Song, Wenxin Hu, Qin Chen, Qinmin Hu, Liang He:
Enhancing the Recurrent Neural Networks with Positional Gates for Sentence Representation. ICONIP (1) 2018: 511-521 - [c8]Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He:
CAN: Enhancing Sentence Similarity Modeling with Collaborative and Adversarial Network. SIGIR 2018: 815-824 - 2017
- [c7]Weijie An, Qin Chen, Yan Yang, Liang He:
Knowledge Memory Based LSTM Model for Answer Selection. ICONIP (2) 2017: 34-42 - [c6]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 - [c5]Xin Ouyang, Yan Yang, Liang He, Qin Chen, Jiacheng Zhang:
Representation Learning with Entity Topics for Knowledge Graphs. KSEM 2017: 534-542 - [c4]Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He, Weijie An:
Enhancing Recurrent Neural Networks with Positional Attention for Question Answering. SIGIR 2017: 993-996 - 2016
- [c3]Qinmin Hu, Yijun Pei, Qin Chen, Liang He:
SG++: Word Representation with Sentiment and Negation for Twitter Sentiment Classification. SIGIR 2016: 997-1000 - 2015
- [c2]Qin Chen, Bo Wang, Beijing Huang, Qinmin Hu, Liang He:
ECNU at TREC 2015: Microblog Track. TREC 2015 - 2014
- [c1]Qin Chen, Yan Yang, Qinmin Hu, Liang He:
Locating Query-oriented Experts in Microblog Search. SMIR@SIGIR 2014: 16-23
Coauthor Index
[j9] [j8] [i34] [i33] [i32] [i31] [i30] [j7] [j6] [c42] [c41] [c40] [c38] [c37] [c36] [c35] [c34] [c32] [c31] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [c30] [c29] [c28] [c27] [c26] [i15] [i14] [i13] [i12] [i11] [c25] [c24] [c23] [c22] [c21] [c20] [i10] [i9] [i8] [i7] [c19] [c17] [c16] [i5] [j5] [j4] [j3] [j2] [j1] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
[j9] [j8] [i34] [i33] [i32] [i31] [i30] [j7] [j6] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [c29] [c28] [c27] [i15] [i13] [i12] [i11] [c25] [c24] [c23] [c22] [c21] [c20] [i10] [i9] [i8] [i7] [i6] [c19] [j5] [j3] [c10] [c6]
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