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ORCIDAimin Yang 0002
Ai-Min Yang 0002
Person information
- affiliation: Guangdong University of Technology, School of Computers Science and Technology, Guangzhou, China
- affiliation: Lingnan Normal University, School of Computer Science and Intelligence Education, Zhanjiang, China
Other persons with the same name
- Aimin Yang (aka: Ai-Min Yang) — disambiguation page
- Aimin Yang 0001
![[0000-0003-0463-9023]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-0463-9023")
(aka: Ai-Min Yang 0001, Aiming Yang 0001) — North China University of Science and Technology, College of Science, Tangshan, Hebei, China (and 1 more)
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2020 – today
- 2025
[j23]Hongbin Zhang, Guangyu Lin, Kezhou Chen, Nankai Lin, Lianglun Cheng, Aimin Yang:
A joint entity and relation extraction framework for handling negative samples problems in named entity recognition. Appl. Soft Comput. 169: 112570 (2025)- [j22]Nankai Lin, Hongyan Wu, Aimin Yang, Lianxi Wang:
Emotional classification in COVID-19: Analyzing Chinese microblogs with domain-adapted contrastive learning. Appl. Soft Comput. 171: 112812 (2025) - [j21]Zhijin Chen, Nankai Lin, Aimin Yang, Dong Zhou:
Filter-enhanced Contrast Variational AutoEncoders for sequential recommendation. Comput. J. 68(7): 775-787 (2025) - [j20]Nankai Lin, Hongyan Wu, Peijian Zeng, Qifeng Bai, Dong Zhou, Aimin Yang:
A novel curriculum learning framework for multi-label emotion classification. Comput. J. 68(8): 1050-1061 (2025) - [j19]Nankai Lin, Hongbin Zhang, Menglan Shen, Yu Wang, Shengyi Jiang, Aimin Yang:
Corpus and unsupervised benchmark: Towards Tagalog grammatical error correction. Comput. Speech Lang. 91: 101750 (2025) - [j18]Peijian Zeng, Nankai Lin, Shun Li, Liheng Hou, Jianghao Lin, Aimin Yang:
MODAL-DRN-BL: A Framework for Modal Analysis Based on Dilated Residual Broad Learning Networks. J. Comput. Inf. Sci. Eng. 25(3) (2025) - [j17]Nankai Lin, Hongyan Wu, Sihui Fu, Shengyi Jiang, Ai-Min Yang:
A Chinese Spelling Check Method Based on Reverse Contrastive Learning. J. Comput. Sci. Technol. 40(3): 821-834 (2025) - [j16]Nankai Lin, Meiyu Zeng, Wentao Huang, Shengyi Jiang, Lixian Xiao, Aimin Yang:
A Simple Yet Effective Corpus Construction Framework for Indonesian Grammatical Error Correction. ACM Trans. Asian Low Resour. Lang. Inf. Process. 24(1): 5:1-5:15 (2025) - [j15]Dong Zhou, Qiang Ouyang, Nankai Lin, Yongmei Zhou, Aimin Yang:
GS2F: Multimodal Fake News Detection Utilizing Graph Structure and Guided Semantic Fusion. ACM Trans. Asian Low Resour. Lang. Inf. Process. 24(2): 11:1-11:22 (2025) - [j14]Xingran Zhou, Nankai Lin, Weixiong Zheng, Dong Zhou, Aimin Yang:
A contrastive news recommendation framework based on curriculum learning. User Model. User Adapt. Interact. 35(1): 2 (2025) - [j13]Qifeng Bai, Nankai Lin, Meiyu Zeng, Guanqiu Qin, Dong Zhou, Aimin Yang:
Ensuring accuracy and fairness: a de-biasing framework for sequential recommendation. User Model. User Adapt. Interact. 35(2): 9 (2025) - [c41]Weixiong Zheng, Peijian Zeng, Yiwei Li, Hongyan Wu, Nankai Lin, Junhao Chen, Aimin Yang, Yongmei Zhou:
Jailbreaking? One Step Is Enough! ACL (1) 2025: 11623-11642 - [c40]Nankai Lin, Peijian Zeng, Weixiong Zheng, Shengyi Jiang, Dong Zhou, Aimin Yang:
Rethinking Vocabulary Augmentation: Addressing the Challenges of Low-Resource Languages in Multilingual Models. COLING 2025: 2919-2934 - [c39]Hongyan Wu, Nankai Lin, Shengyi Jiang, Lianxi Wang, Aimin Yang:
Pseudo-label Data Construction Method and Syntax-enhanced Model for Chinese Semantic Error Recognition. COLING 2025: 5391-5402 - [c38]Meiyu Zeng, Xingming Liao, Yongmei Zhou, Wentao Huang, Nankai Lin, Aimin Yang:
Enhancing Cross-Lingual Aspect-Based Sentiment Analysis with Code-Mixed In-Context Demonstrations and Language-Specific Tags. CSCWD 2025: 716-721 - [c37]Wentao Huang, Zeyong Long, Dong Zhou, Zhijin Chen, Yongmei Zhou, Nankai Lin, Aimin Yang:
WATER: A Two-Stage in-Context Learning Debiasing Framework for Multilingual Text Classification. CSCWD 2025: 722-727 - [c36]Zeyong Long, Weixiong Zheng, Dong Zhou, Yongmei Zhou, Nankai Lin, Aimin Yang:
FairTriplet: Balancing Fairness and Accuracy in Contextual Pre-Trained Models Through Prefix Tuning. CSCWD 2025: 770-775 - [c35]Zhijin Chen, Dong Zhou, Jianghao Lin, Wentao Huang, Xingran Zhou, Aimin Yang:
Global Graph Attention for Contrastive Sequential Recommendation. CSCWD 2025: 2059-2064 - [c34]Hongbin Zhang, Kezhou Chen, Nankai Lin, Aimin Yang, Zhifeng Hao, Zhengming Chen:
Conditional Independent Test in the Presence of Measurement Error with Causal Structure Learning. IJCAI 2025: 9112-9120 - [c33]Chenxu Wang, Dong Zhou, Jianghao Lin, Yongmei Zhou, Aimin Yang:
DomainDiff: Unified Two-Stage Optimization for Text-Video Retrieval. ICMR 2025: 1432-1441 - [c32]Chenxu Wang, Dong Zhou, Ting Liu, Jianghao Lin, Yongmei Zhou, Aimin Yang:
DiffTMR: Diffusion-based Hierarchical Alignment for Text-Molecule Retrieval. ACM Multimedia 2025: 6280-6288 - [i12]Hongyan Wu, Peijian Zeng, Weixiong Zheng, Lianxi Wang, Nankai Lin, Shengyi Jiang, Aimin Yang:
CLASS: Enhancing Cross-Modal Text-Molecule Retrieval Performance and Training Efficiency. CoRR abs/2502.11633 (2025) - [i11]Meiyu Zeng, Xingming Liao, Canyu Chen, Nankai Lin, Zhuowei Wang, Chong Chen, Aimin Yang:
Chameleon: On the Scene Diversity and Domain Variety of AI-Generated Videos Detection. CoRR abs/2503.06624 (2025) - [i10]Peijian Zeng, Feiyan Pang, Zhanbo Wang, Aimin Yang:
LR-IAD:Mask-Free Industrial Anomaly Detection with Logical Reasoning. CoRR abs/2504.19524 (2025) - 2024
- [j12]Junheng He, Nankai Lin, Qifeng Bai, Haoyu Liang, Dong Zhou, Aimin Yang:
Towards fair decision: A novel representation method for debiasing pre-trained models. Decis. Support Syst. 181: 114208 (2024) - [j11]Guanqiu Qin, Nankai Lin, Menglan Shen, Qifeng Bai, Dong Zhou, Aimin Yang:
Global information enhancement and subgraph-level weakly contrastive learning for lightweight weakly supervised document-level event extraction. Expert Syst. Appl. 240: 122516 (2024) - [j10]Nankai Lin, Meiyu Zeng, Xingming Liao, Weizhong Liu, Aimin Yang, Dong Zhou:
Addressing class-imbalance challenges in cross-lingual aspect-based sentiment analysis: Dynamic weighted loss and anti-decoupling. Expert Syst. Appl. 257: 125059 (2024) - [j9]Lihong Cao, Rong Zeng, Sancheng Peng, Aimin Yang, Jianwei Niu, Shui Yu:
Textual emotion classification using MPNet and cascading broad learning. Neural Networks 179: 106582 (2024) - [j8]Dong Zhou, Fang Lei, Lin Li, Yongmei Zhou, Aimin Yang:
Cross-Modal Interaction via Reinforcement Feedback for Audio-Lyrics Retrieval. IEEE ACM Trans. Audio Speech Lang. Process. 32: 1248-1260 (2024) - [c31]Changyong Fan, Nankai Lin, Dong Zhou, Yongmei Zhou, Aimin Yang:
A Retrieval-Augmented Contrastive Framework for Legal Case Retrieval Based on Event Information. ACML 2024: 415-430 - [c30]Jiajun Fang, Wentao Huang, Aimin Yang, Dong Zhou, Nankai Lin:
MLCL: A Framework for Reducing Language Imbalance in Sino-Tibetan Languages through Adapter Structures. ACML 2024: 431-446 - [c29]Shihao Li, Nankai Lin, Pinmo Wu, Dong Zhou, Aimin Yang:
Enhancing Aspect Sentiment Quad Prediction through Dual-Sequence Data Augmentation and Contrastive Learning. ACML 2024: 447-462 - [c28]Dong Zhou, Binli Zeng, Nankai Lin, Yongmei Zhou, Aimin Yang:
HiRAG: A Historical Information-Driven Retrieval-Augmented Generation Framework for Background Summarization. ACML 2024: 1016-1031 - [c27]Qiang Ouyang, Nankai Lin, Yongmei Zhou, Aimin Yang, Dong Zhou:
Enhancing Few-Shot Multi-modal Fake News Detection Through Adaptive Fusion. APWeb/WAIM (4) 2024: 432-447 - [c26]Nankai Lin, Hongyan Wu, Weixiong Zheng, Xingming Liao, Shengyi Jiang, Aimin Yang, Lixian Xiao:
IndoCL: Benchmarking Indonesian Language Development Assessment. EMNLP (Findings) 2024: 4873-4885 - [c25]Peijian Zeng, Nankai Lin, Jianghao Lin, Aimin Yang, Liheng Hou, Maohua Lu:
Fault Diagnosis of Rotating Equipment Unbalance Problem Based on Denoising Stacked Autoencoders. ICIC (LNAI 4) 2024: 54-65 - [c24]Weixiong Zheng, Aimin Yang, Nankai Lin, Dong Zhou:
From Bias to Fairness: The Role of Domain-Specific Knowledge and Efficient Fine-Tuning. ICIC (LNAI 3) 2024: 354-365 - [c23]Yongmei Zhou, Weifeng Huang, Jigang Wang, Zepeng Wang, Dong Zhou, Aimin Yang:
An Aspect Sentiment Triplet Extraction Method based on Syntax-Guided Muti-Turn Machine Reading Comprehension. ICMLC 2024: 587-593 - [c22]Qifeng Bai, Nankai Lin, Junheng He, Zhijin Chen, Dong Zhou, Aimin Yang:
ADSE: Adversarial Debiasing Framework Based on Sinusoidal Embedding for Sequential Recommendation. ICWS 2024: 1368-1370 - [c21]Peijian Zeng, Weixiong Zheng, Hongyan Wu, Nankai Lin, Aimin Yang, Shengyi Jiang:
ACTOR: Advancing Argument Components Identification Through In-Context Learning and Proximity Information Awareness. NLPCC (5) 2024: 193-204 - [i9]Nankai Lin, Hongyan Wu, Zhengming Chen, Zijian Li, Lianxi Wang, Shengyi Jiang, Dong Zhou, Aimin Yang:
HateDebias: On the Diversity and Variability of Hate Speech Debiasing. CoRR abs/2406.04876 (2024) - [i8]Nankai Lin, Meiyu Zeng, Wentao Huang, Shengyi Jiang, Lixian Xiao, Aimin Yang:
A Simple Yet Effective Corpus Construction Framework for Indonesian Grammatical Error Correction. CoRR abs/2410.20838 (2024) - [i7]Weixiong Zheng, Peijian Zeng, Yiwei Li, Hongyan Wu, Nankai Lin, Junhao Chen, Aimin Yang, Yongmei Zhou:
Jailbreaking? One Step Is Enough! CoRR abs/2412.12621 (2024) - 2023
- [j7]Nankai Lin, Yingwen Fu, Xiaotian Lin, Dong Zhou, Aimin Yang, Shengyi Jiang:
CL-XABSA: Contrastive Learning for Cross-Lingual Aspect-Based Sentiment Analysis. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2935-2946 (2023) - [c20]Nankai Lin, Guanqiu Qin, Gang Wang, Dong Zhou, Aimin Yang:
An Effective Deployment of Contrastive Learning in Multi-label Text Classification. ACL (Findings) 2023: 8730-8744 - [c19]Junheng He, Nankai Lin, Menglan Shen, Dong Zhou, Aimin Yang:
Exploring Bias Evaluation Techniques for Quantifying Large Language Model Biases. IALP 2023: 265-270 - [c18]Zitao Peng, Nankai Lin, Yongmei Zhou, Dong Zhou, Aimin Yang:
Prompt Learning for Low-Resource Multi-Domain Fake News Detection. IALP 2023: 314-319 - [c17]Changyong Fan, Nankai Lin, Aimin Yang, Yongmei Zhou, Dong Zhou:
A Prompt Learning-Based Framework for Similar Case Matching. IALP 2023: 326-331 - [c16]Jigang Wang, Aimin Yang, Dong Zhou, Nankai Lin, Zepeng Wang, Weifeng Huang, Boyu Chen:
Simplifying Aspect-Sentiment Quadruple Prediction with Cartesian Product Operation. ICIC (4) 2023: 707-719 - [i6]Nankai Lin, Junheng He, Zhenghang Tang, Dong Zhou, Aimin Yang:
Model and Evaluation: Towards Fairness in Multilingual Text Classification. CoRR abs/2303.15697 (2023) - [i5]Nankai Lin, Hongbin Zhang, Menglan Shen, Yu Wang, Shengyi Jiang, Aimin Yang:
A BERT-based Unsupervised Grammatical Error Correction Framework. CoRR abs/2303.17367 (2023) - [i4]Nankai Lin, Haonan Liu, Jiajun Fang, Dong Zhou, Aimin Yang:
An interpretability framework for Similar case matching. CoRR abs/2304.01622 (2023) - 2022
- [j6]Sancheng Peng, Lihong Cao, Yongmei Zhou, Zhouhao Ouyang, Aimin Yang, Xinguang Li, Weijia Jia, Shui Yu:
A survey on deep learning for textual emotion analysis in social networks. Digit. Commun. Networks 8(5): 745-762 (2022) - [j5]Dong Zhou, Wei Qu, Lin Li, Mingdong Tang, Aimin Yang:
Neural topic-enhanced cross-lingual word embeddings for CLIR. Inf. Sci. 608: 809-824 (2022) - [c15]Deheng Wang, Aimin Yang, Yongmei Zhou, Fenfang Xie, Zhouhao Ouyang, Sancheng Peng:
Distillation Language Adversarial Network for Cross-lingual Sentiment Analysis. IALP 2022: 45-50 - [c14]Aimin Yang, Qifeng Bai, Jigang Wang, Nankai Lin, Xiaotian Lin, Guanqiu Qin, Junheng He:
A Fine-Grained Social Bias Measurement Framework for Open-Domain Dialogue Systems. NLPCC (2) 2022: 240-251 - [c13]Guanqiu Qin, Junheng He, Qifeng Bai, Nankai Lin, Jigang Wang, Kang Zhou, Dong Zhou, Aimin Yang:
Prompt Based Framework for Violent Event Recognition in Spanish. IberLEF@SEPLN 2022 - [i3]Nankai Lin, Yingwen Fu, Xiaotian Lin, Aimin Yang, Shengyi Jiang:
CL-XABSA: Contrastive Learning for Cross-lingual Aspect-based Sentiment Analysis. CoRR abs/2204.00791 (2022) - [i2]Nankai Lin, Sihui Fu, Xiaotian Lin, Shengyi Jiang, Aimin Yang:
A Chinese Spelling Check Framework Based on Reverse Contrastive Learning. CoRR abs/2210.13823 (2022) - [i1]Nankai Lin, Guanqiu Qin, Jigang Wang, Aimin Yang, Dong Zhou:
Research on the application of contrastive learning in multi-label text classification. CoRR abs/2212.00552 (2022) - 2021
- [j4]Zixuan Cao, Yongmei Zhou, Aimin Yang, Sancheng Peng:
Deep transfer learning mechanism for fine-grained cross-domain sentiment classification. Connect. Sci. 33(4): 911-928 (2021) - [c12]Sancheng Peng, Rong Zeng, Hongzhan Liu, Guanghao Chen, Ruihuan Wu, Aimin Yang, Shui Yu:
Emotion Classification of Text Based on BERT and Broad Learning System. APWeb/WAIM (1) 2021: 382-396 - 2020
- [c11]Lihong Cao, Sancheng Peng, Pengfei Yin, Yongmei Zhou, Aimin Yang, Xinguang Li:
A Survey of Emotion Analysis in Text Based on Deep Learning. iSCI 2020: 81-88
2010 – 2019
- 2019
- [c10]Zixuan Cao, Yongmei Zhou, Aimin Yang, Jiahui Fu:
Contextualized Word Representations with Effective Attention for Aspect-Based Sentiment Analysis. CCL 2019: 467-478 - 2017
- [j3]Sancheng Peng, Aimin Yang, Lihong Cao, Shui Yu, Dongqing Xie:
Social influence modeling using information theory in mobile social networks. Inf. Sci. 379: 146-159 (2017) - [j2]Jianghao Lin, Yongmei Zhou, Aimin Yang, Jin Cheng:
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). 计算机科学 44(10): 296-301 (2017) - 2016
- [c9]Jianghao Lin, Yongmei Zhou, Aimin Yang, Jin Chen:
Analysis of Topic Evolution on News Comments Based on Word Vectors. ICCCS (2) 2016: 464-475 - 2015
- [c8]Sancheng Peng, Jian Li, Aimin Yang:
Entropy-Based Social Influence Evaluation in Mobile Social Networks. ICA3PP (1) 2015: 637-647 - 2014
- [j1]Sancheng Peng, Shui Yu, Aimin Yang:
Smartphone Malware and Its Propagation Modeling: A Survey. IEEE Commun. Surv. Tutorials 16(2): 925-941 (2014)
2000 – 2009
- 2008
- [c7]Yongmei Zhou, Jin-kuang Wang, Ai-Min Yang:
A Method of Region-based Calculating Image Similarity for RBIR System. ICYCS 2008: 814-819 - 2007
- [c6]Aimin Yang, Xinguang Li, Yongmei Zhou, Lingmin Jiang:
A Fuzzy Classification Model with SVM. FSKD (2) 2007: 75-79 - [c5]Aimin Yang, Lingmin Jiang, Yongmei Zhou:
A KFCM-Based Fuzzy Classifier. FSKD (2) 2007: 80-84 - [c4]Ai-Min Yang, Yongmei Zhou, Xingguang Li, Min Tang:
A Region-Based Image Segmentation Method with Kernel FCM. ICFIE 2007: 902-910 - [c3]Min Tang, Ai-Min Yang, Lingmin Jiang, Xingguang Li:
A Region-Based Image Retrieval Method with Fuzzy Feature. ICFIE 2007: 940-948 - 2006
- [c2]Ai-Min Yang, Yongmei Zhou, Min Tang:
A Classifier Ensemble Method for Fuzzy Classifiers. FSKD 2006: 784-793 - [c1]Ai-Min Yang, Yanhui Zhu, Yongmei Zhou, Min Tan:
A FKHP-Based Fuzzy Classification Model. ISDA (1) 2006: 248-253
Coauthor Index
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