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Qimin Zhou
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2020 – today
- 2024
- [j4]Qimin Zhou, Yingcang Ma, Zhiwei Xing, Xiaofei Yang:
Sparse and regression learning of large-scale fuzzy cognitive maps based on adaptive loss function. Appl. Intell. 54(3): 2750-2766 (2024) - [j3]Qimin Zhou
, Yingcang Ma
, Zhiwei Xing
, Xiaofei Yang:
A comprehensive framework for designing and learning fuzzy cognitive maps at the granular level. Appl. Soft Comput. 158: 111601 (2024) - [c7]Weiping Yang, Shilin Zhou, Hui Xu, Qimin Zhou, Jingyu Li, Qingjiang Li, Yinan Wang, Changlin Chen:
An Integration and Time-Sampling based Readout Circuit with Current Compensation for Parallel MAC operations in RRAM Arrays. ISCAS 2024: 1-5 - 2022
- [c6]Yu Zhang, Hongqing Ma, Peihong Li, Xihua Li, Xiangdong Jin, Qimin Zhou, Xiaoxing Shi, Xinyu Jin, Huizhong Li:
Cross-Grade Curriculum Group Based Teaching Experiment System for Innovative Design of IoT Intelligent Dynamic Measurement and Control. ISCAS 2022: 2122-2126 - 2020
- [j2]Hao Wu
, Qimin Zhou, Rencan Nie, Jinde Cao:
Effective metric learning with co-occurrence embedding for collaborative recommendations. Neural Networks 124: 308-318 (2020)
2010 – 2019
- 2019
- [j1]Qimin Zhou, Hao Wu
, Kun Yue, Ching-Hsien Hsu:
Spatio-temporal context-aware collaborative QoS prediction. Future Gener. Comput. Syst. 100: 46-57 (2019) - [c5]Hua Zhao, Jing Wang, Qimin Zhou, Xin Wang, Hao Wu
:
Web API Recommendation with Features Ensemble and Learning-to-Rank. Big Data (CCF) 2019: 406-419 - [c4]Zhengxin Zhang, Qimin Zhou, Hua Zhao, Hao Wu
:
Social Regularized Collaborative Metric Learning. HPCC/SmartCity/DSS 2019: 2839-2846 - [c3]Qimin Zhou, Zhengxin Zhang, Hao Wu
, Linmao Wang:
ZQM at SemEval-2019 Task9: A Single Layer CNN Based on Pre-trained Model for Suggestion Mining. SemEval@NAACL-HLT 2019: 1287-1291 - 2018
- [c2]Zhengxin Zhang, Qimin Zhou, Hao Wu
:
NLPZZX at SemEval-2018 Task 1: Using Ensemble Method for Emotion and Sentiment Intensity Determination. SemEval@NAACL-HLT 2018: 116-122 - [c1]Qimin Zhou, Hao Wu
:
NLP at IEST 2018: BiLSTM-Attention and LSTM-Attention via Soft Voting in Emotion Classification. WASSA@EMNLP 2018: 189-194
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