Qimin Zhou

According to our database, Qimin Zhou authored at least 18 papers between 2018 and 2026.

Collaborative distances:

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

2026

Statically scheduled interconnect for neural network inter-layer accelerating.

Qimin Zhou, Hui Xu, Jingyu Li, Weiping Yang, Changlin Chen

Microelectron. J., 2026

Riemannian Graph Tokenizer for Structural Knowledge Transfer.

Qimin Zhou, Haibo Liu, Yujie Wang, Li Sun, Chuan Shi

Proceedings of the ACM Web Conference 2026, 2026

2025

OPASCA: Outer Product-Based Accelerator With Unified Architecture for Sparse Convolution and Attention.

Qimin Zhou, Hui Xu, Jingyu Li, Tuo Ma, Changlin Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., April, 2025

Pearson correlation coefficient-guided large-scale fuzzy cognitive maps learning algorithm.

Qimin Zhou, Yingcang Ma, Zhiwei Xing, Xiaofei Yang

Fuzzy Sets Syst., 2025

A Bit Level Weight Reordering Strategy Based on Column Similarity to Explore Weight Sparsity in RRAM-Based NN Accelerator.

Weiping Yang, Shilin Zhou, Yujiao Nie, Qimin Zhou, Hui Xu, Zhiwei Li, Changlin Chen

Proceedings of the 31th IEEE International Conference on Parallel and Distributed Systems, 2025

Harnessing Language Model for Cross-Heterogeneity Graph Knowledge Transfer.

Jinyu Yang, Ruijia Wang, Cheng Yang, Bo Yan, Qimin Zhou, Yang Juan, Chuan Shi

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Sparse and regression learning of large-scale fuzzy cognitive maps based on adaptive loss function.

Qimin Zhou, Yingcang Ma, Zhiwei Xing, Xiaofei Yang

Appl. Intell., February, 2024

A comprehensive framework for designing and learning fuzzy cognitive maps at the granular level.

Qimin Zhou, Yingcang Ma, Zhiwei Xing, Xiaofei Yang

Appl. Soft Comput., 2024

Sparse large-scale high-order fuzzy cognitive maps guided by spearman correlation coefficient.

Xuli Li, Yingcang Ma, Qimin Zhou, Xiaohong Zhang

Appl. Soft Comput., 2024

An Integration and Time-Sampling based Readout Circuit with Current Compensation for Parallel MAC operations in RRAM Arrays.

Weiping Yang, Shilin Zhou, Hui Xu, Qimin Zhou, Jingyu Li, Qingjiang Li, Yinan Wang, Changlin Chen

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

2022

Cross-Grade Curriculum Group Based Teaching Experiment System for Innovative Design of IoT Intelligent Dynamic Measurement and Control.

Yu Zhang, Hongqing Ma, Peihong Li, Xihua Li, Xiangdong Jin, Qimin Zhou, Xiaoxing Shi, Xinyu Jin, Huizhong Li

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

2020

Effective metric learning with co-occurrence embedding for collaborative recommendations.

Hao Wu, Qimin Zhou, Rencan Nie, Jinde Cao

Neural Networks, 2020

2019

Spatio-temporal context-aware collaborative QoS prediction.

Qimin Zhou, Hao Wu, Kun Yue, Ching-Hsien Hsu

Future Gener. Comput. Syst., 2019

ZQM at SemEval-2019 Task9: A Single Layer CNN Based on Pre-trained Model for Suggestion Mining.

Qimin Zhou, Zhengxin Zhang, Hao Wu, Linmao Wang

Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Social Regularized Collaborative Metric Learning.

Zhengxin Zhang, Qimin Zhou, Hua Zhao, Hao Wu

Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

Web API Recommendation with Features Ensemble and Learning-to-Rank.

Hua Zhao, Jing Wang, Qimin Zhou, Xin Wang, Hao Wu

Proceedings of the Big Data - 7th CCF Conference, 2019

2018

NLP at IEST 2018: BiLSTM-Attention and LSTM-Attention via Soft Voting in Emotion Classification.

Qimin Zhou, Hao Wu

Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, 2018

NLPZZX at SemEval-2018 Task 1: Using Ensemble Method for Emotion and Sentiment Intensity Determination.

Zhengxin Zhang, Qimin Zhou, Hao Wu

Proceedings of The 12th International Workshop on Semantic Evaluation, 2018