Locating Query-oriented Experts in Microblog Search. - Qin Chen 001; Yan Yang 008; Qinmin Hu; Liang He 001 (SMIR@SIGIR, 2014)

ECNU at TREC 2015: Microblog Track. - Qin Chen 001; Bo Wang; Beijing Huang; Qinmin Hu; Liang He 001 (TREC, 2015)

SG++: Word Representation with Sentiment and Negation for Twitter Sentiment Classification. - Qinmin Hu; Yijun Pei; Qin Chen 001; Liang He 001 (SIGIR, 2016)

Knowledge Memory Based LSTM Model for Answer Selection. - Weijie An; Qin Chen 001; Yan Yang 008; Liang He 001 (ICONIP (2), 2017)

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)

Representation Learning with Entity Topics for Knowledge Graphs. - Xin Ouyang; Yan Yang 008; Liang He 001; Qin Chen 001; Jiacheng Zhang (KSEM, 2017)

Enhancing Recurrent Neural Networks with Positional Attention for Question Answering. - Qin Chen 001; Qinmin Hu; Jimmy Xiangji Huang; Liang He 001; Weijie An (SIGIR, 2017)

CA-RNN: Using Context-Aligned Recurrent Neural Networks for Modeling Sentence Similarity. - Qin Chen 001; Qinmin Hu; Jimmy Xiangji Huang; Liang He 001 (AAAI, 2018)

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

Enhancing the Recurrent Neural Networks with Positional Gates for Sentence Representation. - Yang Song 010; Wenxin Hu; Qin Chen 001; Qinmin Hu; Liang He 001 (ICONIP (1), 2018)

CAN: Enhancing Sentence Similarity Modeling with Collaborative and Adversarial Network. - Qin Chen 001; Qinmin Hu; Jimmy Xiangji Huang; Liang He 001 (SIGIR, 2018)

Modeling Queries with Contextual Snippets for Information Retrieval. - Qin Chen 001; Qinmin Hu; Jimmy Xiangji Huang; Liang He 001 (ACM Trans. Intell. Syst. Technol., 2018)

TAKer: Fine-Grained Time-Aware Microblog Search with Kernel Density Estimation. - Qin Chen 001; Qinmin Hu; Jimmy Xiangji Huang; Liang He 001 (IEEE Trans. Knowl. Data Eng., 2018)

Using External Knowledge for Financial Event Prediction Based on Graph Neural Networks. - Yiying Yang; Zhongyu Wei; Qin Chen 001; Libo Wu (CIKM, 2019)

Enhancing Dialogue Symptom Diagnosis with Global Attention and Symptom Graph. - Xinzhu Lin; Xiahui He; Qin Chen 001; Huaixiao Tou; Zhongyu Wei; Ting Chen (EMNLP/IJCNLP (1), 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)

Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition. - Yun He 001; Ziwei Zhu 001; Yin Zhang 011; Qin Chen 001; James Caverlee (EMNLP (1), 2020)

Automatic Term Name Generation for Gene Ontology: Task and Dataset. - Yanjian Zhang; Qin Chen 001; Yiteng Zhang; Zhongyu Wei; Yixu Gao; Jiajie Peng; Zengfeng Huang; Weijian Sun; Xuanjing Huang 001 (EMNLP (Findings), 2020)

Task-oriented Dialogue System for Automatic Disease Diagnosis via Hierarchical Reinforcement Learning. - Kangenbei Liao; Qianlong Liu; Zhongyu Wei; Baolin Peng; Qin Chen 001; Weijian Sun; Xuanjing Huang 001 (CoRR, 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)

Two-stage sentiment classification based on user-product interactive information. - Yu Ji; Wen Wu 006; Shiyun Chen; Qin Chen 001; Wenxin 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)

Operation Diagnosis on Procedure Graph: The Task and Dataset. - Ruipu Luo; Qi Zhu; Qin Chen 001; Siyuan Wang; Zhongyu Wei; Weijian Sun; Shuang Tang (CIKM, 2021)

One-Stage Visual Grounding via Semantic-Aware Feature Filter. - Jiabo Ye; Xin Lin 001; Liang He 001; Dingbang Li; Qin Chen 001 (ACM Multimedia, 2021)

ECNUICA at SemEval-2021 Task 11: Rule based Information Extraction Pipeline. - Jiaju Lin; Jing Ling; Zhiwei Wang; Jiawei Liu; Qin Chen 001; Liang He 001 (SemEval@ACL/IJCNLP, 2021)

Human-In-The-Loop Document Layout Analysis. - Xingjiao Wu; Tianlong Ma; Xin Li 110; Qin Chen 001; Liang He 001 (CoRR, 2021)

Eliciting Knowledge from Language Models for Event Extraction. - Jiaju Lin; Jin Jian; Qin Chen 001 (CoRR, 2021)

Reasoning Chain Based Adversarial Attack for Multi-hop Question Answering. - Jiayu Ding; Siyuan Wang; Qin Chen 001; Zhongyu Wei (CoRR, 2021)

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)

LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross- Modal Fusion. - Xin Li 110; Tao Ma 002; Yuenan Hou; Botian Shi; Yuchen Yang 003; Youquan Liu; Xingjiao Wu; Qin Chen 001; Yikang Li 002; Yu Qiao 001; Liang He 001 (CVPR, 2023)

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)

Black-box Prompt Tuning for Vision-Language Model as a Service. - Lang Yu; Qin Chen 001; Jiaju Lin; Liang He 001 (IJCAI, 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)

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)

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)

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)

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)

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)