Aimin Yang

According to our database, Aimin Yang authored at least 71 papers between 2006 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Ensuring accuracy and fairness: a de-biasing framework for sequential recommendation.

Qifeng Bai, Nankai Lin, Meiyu Zeng, Guanqiu Qin, Dong Zhou, Aimin Yang

User Model. User Adapt. Interact., June, 2025

A Chinese Spelling Check Method Based on Reverse Contrastive Learning.

Nankai Lin, Hongyan Wu, Sihui Fu, Shengyi Jiang, Ai-Min Yang

J. Comput. Sci. Technol., May, 2025

LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning.

Peijian Zeng, Feiyan Pang, Zhanbo Wang, Aimin Yang

CoRR, April, 2025

A contrastive news recommendation framework based on curriculum learning.

Xingran Zhou, Nankai Lin, Weixiong Zheng, Dong Zhou, Aimin Yang

User Model. User Adapt. Interact., March, 2025

Chameleon: On the Scene Diversity and Domain Variety of AI-Generated Videos Detection.

Meiyu Zeng, Xingming Liao, Canyu Chen, Nankai Lin, Zhuowei Wang, Chong Chen, Aimin Yang

CoRR, March, 2025

GS2F: Multimodal Fake News Detection Utilizing Graph Structure and Guided Semantic Fusion.

Dong Zhou, Qiang Ouyang, Nankai Lin, Yongmei Zhou, Aimin Yang

ACM Trans. Asian Low Resour. Lang. Inf. Process., February, 2025

CLASS: Enhancing Cross-Modal Text-Molecule Retrieval Performance and Training Efficiency.

Hongyan Wu, Peijian Zeng, Weixiong Zheng, Lianxi Wang, Nankai Lin, Shengyi Jiang, Aimin Yang

CoRR, February, 2025

A Simple Yet Effective Corpus Construction Framework for Indonesian Grammatical Error Correction.

Nankai Lin, Meiyu Zeng, Wentao Huang, Shengyi Jiang, Lixian Xiao, Aimin Yang

ACM Trans. Asian Low Resour. Lang. Inf. Process., January, 2025

MODAL-DRN-BL: A Framework for Modal Analysis Based on Dilated Residual Broad Learning Networks.

Peijian Zeng, Nankai Lin, Shun Li, Liheng Hou, Jianghao Lin, Aimin Yang

J. Comput. Inf. Sci. Eng., 2025

Corpus and unsupervised benchmark: Towards Tagalog grammatical error correction.

Nankai Lin, Hongbin Zhang, Menglan Shen, Yu Wang, Shengyi Jiang, Aimin Yang

Comput. Speech Lang., 2025

Filter-enhanced Contrast Variational AutoEncoders for sequential recommendation.

Zhijin Chen, Nankai Lin, Aimin Yang, Dong Zhou

Comput. J., 2025

A joint entity and relation extraction framework for handling negative samples problems in named entity recognition.

Hongbin Zhang, Guangyu Lin, Kezhou Chen, Nankai Lin, Lianglun Cheng, Aimin Yang

Appl. Soft Comput., 2025

Emotional classification in COVID-19: Analyzing Chinese microblogs with domain-adapted contrastive learning.

Nankai Lin, Hongyan Wu, Aimin Yang, Lianxi Wang

Appl. Soft Comput., 2025

DomainDiff: Unified Two-Stage Optimization for Text-Video Retrieval.

Chenxu Wang, Dong Zhou, Jianghao Lin, Yongmei Zhou, Aimin Yang

Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

Enhancing Cross-Lingual Aspect-Based Sentiment Analysis with Code-Mixed In-Context Demonstrations and Language-Specific Tags.

Meiyu Zeng, Xingming Liao, Yongmei Zhou, Wentao Huang, Nankai Lin, Aimin Yang

Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

FairTriplet: Balancing Fairness and Accuracy in Contextual Pre-Trained Models Through Prefix Tuning.

Zeyong Long, Weixiong Zheng, Dong Zhou, Yongmei Zhou, Nankai Lin, Aimin Yang

Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

WATER: A Two-Stage in-Context Learning Debiasing Framework for Multilingual Text Classification.

Wentao Huang, Zeyong Long, Dong Zhou, Zhijin Chen, Yongmei Zhou, Nankai Lin, Aimin Yang

Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

Global Graph Attention for Contrastive Sequential Recommendation.

Zhijin Chen, Dong Zhou, Jianghao Lin, Wentao Huang, Xingran Zhou, Aimin Yang

Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

Pseudo-label Data Construction Method and Syntax-enhanced Model for Chinese Semantic Error Recognition.

Hongyan Wu, Nankai Lin, Shengyi Jiang, Lianxi Wang, Aimin Yang

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Rethinking Vocabulary Augmentation: Addressing the Challenges of Low-Resource Languages in Multilingual Models.

Nankai Lin, Peijian Zeng, Weixiong Zheng, Shengyi Jiang, Dong Zhou, Aimin Yang

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Jailbreaking? One Step Is Enough!

Weixiong Zheng, Peijian Zeng, Yiwei Li, Hongyan Wu, Nankai Lin, Junhao Chen, Aimin Yang, Yongmei Zhou

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Cross-Modal Interaction via Reinforcement Feedback for Audio-Lyrics Retrieval.

Dong Zhou, Fang Lei, Lin Li, Yongmei Zhou, Aimin Yang

IEEE ACM Trans. Audio Speech Lang. Process., 2024

Textual emotion classification using MPNet and cascading broad learning.

Lihong Cao, Rong Zeng, Sancheng Peng, Aimin Yang, Jianwei Niu, Shui Yu

Neural Networks, 2024

Global information enhancement and subgraph-level weakly contrastive learning for lightweight weakly supervised document-level event extraction.

Guanqiu Qin, Nankai Lin, Menglan Shen, Qifeng Bai, Dong Zhou, Aimin Yang

Expert Syst. Appl., 2024

Addressing class-imbalance challenges in cross-lingual aspect-based sentiment analysis: Dynamic weighted loss and anti-decoupling.

Nankai Lin, Meiyu Zeng, Xingming Liao, Weizhong Liu, Aimin Yang, Dong Zhou

Expert Syst. Appl., 2024

Towards fair decision: A novel representation method for debiasing pre-trained models.

Junheng He, Nankai Lin, Qifeng Bai, Haoyu Liang, Dong Zhou, Aimin Yang

Decis. Support Syst., 2024

HateDebias: On the Diversity and Variability of Hate Speech Debiasing.

Nankai Lin, Hongyan Wu, Zhengming Chen, Zijian Li, Lianxi Wang, Shengyi Jiang, Dong Zhou, Aimin Yang

CoRR, 2024

ACTOR: Advancing Argument Components Identification Through In-Context Learning and Proximity Information Awareness.

Peijian Zeng, Weixiong Zheng, Hongyan Wu, Nankai Lin, Aimin Yang, Shengyi Jiang

Proceedings of the Natural Language Processing and Chinese Computing, 2024

ADSE: Adversarial Debiasing Framework Based on Sinusoidal Embedding for Sequential Recommendation.

Qifeng Bai, Nankai Lin, Junheng He, Zhijin Chen, Dong Zhou, Aimin Yang

Proceedings of the IEEE International Conference on Web Services, 2024

An Aspect Sentiment Triplet Extraction Method based on Syntax-Guided Muti-Turn Machine Reading Comprehension.

Yongmei Zhou, Weifeng Huang, Jigang Wang, Zepeng Wang, Dong Zhou, Aimin Yang

Proceedings of the 2024 16th International Conference on Machine Learning and Computing, 2024

From Bias to Fairness: The Role of Domain-Specific Knowledge and Efficient Fine-Tuning.

Weixiong Zheng, Aimin Yang, Nankai Lin, Dong Zhou

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Fault Diagnosis of Rotating Equipment Unbalance Problem Based on Denoising Stacked Autoencoders.

Peijian Zeng, Nankai Lin, Jianghao Lin, Aimin Yang, Liheng Hou, Maohua Lu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

IndoCL: Benchmarking Indonesian Language Development Assessment.

Nankai Lin, Hongyan Wu, Weixiong Zheng, Xingming Liao, Shengyi Jiang, Aimin Yang, Lixian Xiao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Enhancing Few-Shot Multi-modal Fake News Detection Through Adaptive Fusion.

Qiang Ouyang, Nankai Lin, Yongmei Zhou, Aimin Yang, Dong Zhou

Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

HiRAG: A Historical Information-Driven Retrieval-Augmented Generation Framework for Background Summarization.

Dong Zhou, Binli Zeng, Nankai Lin, Yongmei Zhou, Aimin Yang

Proceedings of the Asian Conference on Machine Learning, 2024

Enhancing Aspect Sentiment Quad Prediction through Dual-Sequence Data Augmentation and Contrastive Learning.

Shihao Li, Nankai Lin, Pinmo Wu, Dong Zhou, Aimin Yang

Proceedings of the Asian Conference on Machine Learning, 2024

MLCL: A Framework for Reducing Language Imbalance in Sino-Tibetan Languages through Adapter Structures.

Jiajun Fang, Wentao Huang, Aimin Yang, Dong Zhou, Nankai Lin

Proceedings of the Asian Conference on Machine Learning, 2024

A Retrieval-Augmented Contrastive Framework for Legal Case Retrieval Based on Event Information.

Changyong Fan, Nankai Lin, Dong Zhou, Yongmei Zhou, Aimin Yang

Proceedings of the Asian Conference on Machine Learning, 2024

2023

CL-XABSA: Contrastive Learning for Cross-Lingual Aspect-Based Sentiment Analysis.

Nankai Lin, Yingwen Fu, Xiaotian Lin, Dong Zhou, Aimin Yang, Shengyi Jiang

IEEE ACM Trans. Audio Speech Lang. Process., 2023

An interpretability framework for Similar case matching.

Nankai Lin, Haonan Liu, Jiajun Fang, Dong Zhou, Aimin Yang

CoRR, 2023

A BERT-based Unsupervised Grammatical Error Correction Framework.

Nankai Lin, Hongbin Zhang, Menglan Shen, Yu Wang, Shengyi Jiang, Aimin Yang

CoRR, 2023

Model and Evaluation: Towards Fairness in Multilingual Text Classification.

Nankai Lin, Junheng He, Zhenghang Tang, Dong Zhou, Aimin Yang

CoRR, 2023

Simplifying Aspect-Sentiment Quadruple Prediction with Cartesian Product Operation.

Jigang Wang, Aimin Yang, Dong Zhou, Nankai Lin, Zepeng Wang, Weifeng Huang, Boyu Chen

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Prompt Learning for Low-Resource Multi-Domain Fake News Detection.

Zitao Peng, Nankai Lin, Yongmei Zhou, Dong Zhou, Aimin Yang

Proceedings of the International Conference on Asian Language Processing, 2023

Exploring Bias Evaluation Techniques for Quantifying Large Language Model Biases.

Junheng He, Nankai Lin, Menglan Shen, Dong Zhou, Aimin Yang

Proceedings of the International Conference on Asian Language Processing, 2023

A Prompt Learning-Based Framework for Similar Case Matching.

Changyong Fan, Nankai Lin, Aimin Yang, Yongmei Zhou, Dong Zhou

Proceedings of the International Conference on Asian Language Processing, 2023

An Effective Deployment of Contrastive Learning in Multi-label Text Classification.

Nankai Lin, Guanqiu Qin, Gang Wang, Dong Zhou, Aimin Yang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Neural topic-enhanced cross-lingual word embeddings for CLIR.

Dong Zhou, Wei Qu, Lin Li, Mingdong Tang, Aimin Yang

Inf. Sci., 2022

A survey on deep learning for textual emotion analysis in social networks.

Sancheng Peng, Lihong Cao, Yongmei Zhou, Zhouhao Ouyang, Aimin Yang, Xinguang Li, Weijia Jia, Shui Yu

Digit. Commun. Networks, 2022

Research on the application of contrastive learning in multi-label text classification.

Nankai Lin, Guanqiu Qin, Jigang Wang, Aimin Yang, Dong Zhou

CoRR, 2022

A Chinese Spelling Check Framework Based on Reverse Contrastive Learning.

Nankai Lin, Sihui Fu, Xiaotian Lin, Shengyi Jiang, Aimin Yang

CoRR, 2022

CL-XABSA: Contrastive Learning for Cross-lingual Aspect-based Sentiment Analysis.

Nankai Lin, Yingwen Fu, Xiaotian Lin, Aimin Yang, Shengyi Jiang

CoRR, 2022

Prompt Based Framework for Violent Event Recognition in Spanish.

Guanqiu Qin, Junheng He, Qifeng Bai, Nankai Lin, Jigang Wang, Kang Zhou, Dong Zhou, Aimin Yang

Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2022), 2022

A Fine-Grained Social Bias Measurement Framework for Open-Domain Dialogue Systems.

Aimin Yang, Qifeng Bai, Jigang Wang, Nankai Lin, Xiaotian Lin, Guanqiu Qin, Junheng He

Proceedings of the Natural Language Processing and Chinese Computing, 2022

Distillation Language Adversarial Network for Cross-lingual Sentiment Analysis.

Deheng Wang, Aimin Yang, Yongmei Zhou, Fenfang Xie, Zhouhao Ouyang, Sancheng Peng

Proceedings of the International Conference on Asian Language Processing, 2022

2021

Deep transfer learning mechanism for fine-grained cross-domain sentiment classification.

Zixuan Cao, Yongmei Zhou, Aimin Yang, Sancheng Peng

Connect. Sci., 2021

Emotion Classification of Text Based on BERT and Broad Learning System.

Sancheng Peng, Rong Zeng, Hongzhan Liu, Guanghao Chen, Ruihuan Wu, Aimin Yang, Shui Yu

Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

2020

A Survey of Emotion Analysis in Text Based on Deep Learning.

Lihong Cao, Sancheng Peng, Pengfei Yin, Yongmei Zhou, Aimin Yang, Xinguang Li

Proceedings of the 8th IEEE International Conference on Smart City and Informatization, 2020

2019

Contextualized Word Representations with Effective Attention for Aspect-Based Sentiment Analysis.

Zixuan Cao, Yongmei Zhou, Aimin Yang, Jiahui Fu

Proceedings of the Chinese Computational Linguistics - 18th China National Conference, 2019

2017

基于语义相似度的情感特征向量提取方法 (Extraction Method of Sentimental Feature Vector Based on Semantic Similarity).

Jianghao Lin, Yongmei Zhou, Aimin Yang, Jin Cheng

计算机科学, 2017

Social influence modeling using information theory in mobile social networks.

Sancheng Peng, Aimin Yang, Lihong Cao, Shui Yu, Dongqing Xie

Inf. Sci., 2017

2016

Analysis of Topic Evolution on News Comments Based on Word Vectors.

Jianghao Lin, Yongmei Zhou, Aimin Yang, Jin Chen

Proceedings of the Cloud Computing and Security - Second International Conference, 2016

2015

Entropy-Based Social Influence Evaluation in Mobile Social Networks.

Sancheng Peng, Jian Li, Aimin Yang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

2014

Smartphone Malware and Its Propagation Modeling: A Survey.

Sancheng Peng, Shui Yu, Aimin Yang

IEEE Commun. Surv. Tutorials, 2014

2008

A Method of Region-based Calculating Image Similarity for RBIR System.

Yongmei Zhou, Jin-kuang Wang, Ai-Min Yang

Proceedings of the 9th International Conference for Young Computer Scientists, 2008

2007

A Region-Based Image Segmentation Method with Kernel FCM.

Ai-Min Yang, Yongmei Zhou, Xingguang Li, Min Tang

Proceedings of the Fuzzy Information and Engineering, 2007

A Region-Based Image Retrieval Method with Fuzzy Feature.

Min Tang, Ai-Min Yang, Lingmin Jiang, Xingguang Li

Proceedings of the Fuzzy Information and Engineering, 2007

A Fuzzy Classification Model with SVM.

Aimin Yang, Xinguang Li, Yongmei Zhou, Lingmin Jiang

Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

A KFCM-Based Fuzzy Classifier.

Aimin Yang, Lingmin Jiang, Yongmei Zhou

Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

2006

A FKHP-Based Fuzzy Classification Model.

Ai-Min Yang, Yanhui Zhu, Yongmei Zhou, Min Tan

Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006

A Classifier Ensemble Method for Fuzzy Classifiers.

Ai-Min Yang, Yongmei Zhou, Min Tang

Proceedings of the Fuzzy Systems and Knowledge Discovery, Third International Conference, 2006