Qimin Zhou

19 papers A* 2B 2C 2Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2026 A* conf
Riemannian Graph Tokenizer for Structural Knowledge Transfer.
WWW
Qimin Zhou, Haibo Liu, Yujie Wang, Li Sun, Chuan Shi
2026 J jnl
Statically scheduled interconnect for neural network inter-layer accelerating.
Microelectron. J.
Qimin Zhou, Hui Xu, Jingyu Li, Weiping Yang, Changlin Chen
2025 B conf
A Bit Level Weight Reordering Strategy Based on Column Similarity to Explore Weight Sparsity in RRAM-Based NN Accelerator.
ICPADS
Weiping Yang, Shilin Zhou, Yujiao Nie, Qimin Zhou, Hui Xu, Zhiwei Li, Changlin Chen
2025 J jnl
A Bit Level Weight Reordering Strategy Based on Column Similarity to Explore Weight Sparsity in RRAM-based NN Accelerator.
CoRR
Weiping Yang, Shilin Zhou, Hui Xu, Yujiao Nie, Qimin Zhou, Zhiwei Li, Changlin Chen
2025 A* conf
Harnessing Language Model for Cross-Heterogeneity Graph Knowledge Transfer.
AAAI
Jinyu Yang, Ruijia Wang, Cheng Yang, Bo Yan, Qimin Zhou, Yang Juan, Chuan Shi
2025 J jnl
OPASCA: Outer Product-Based Accelerator With Unified Architecture for Sparse Convolution and Attention.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Qimin Zhou, Hui Xu, Jingyu Li, Tuo Ma, Changlin Chen
2025 J jnl
Pearson correlation coefficient-guided large-scale fuzzy cognitive maps learning algorithm.
Fuzzy Sets Syst.
Qimin Zhou, Yingcang Ma, Zhiwei Xing, Xiaofei Yang
2024 J jnl
A comprehensive framework for designing and learning fuzzy cognitive maps at the granular level.
Appl. Soft Comput.
Qimin Zhou, Yingcang Ma, Zhiwei Xing, Xiaofei Yang
2024 C conf
An Integration and Time-Sampling based Readout Circuit with Current Compensation for Parallel MAC operations in RRAM Arrays.
ISCAS
Weiping Yang, Shilin Zhou, Hui Xu, Qimin Zhou, Jingyu Li, Qingjiang Li, Yinan Wang, Changlin Chen
2024 J jnl
Sparse and regression learning of large-scale fuzzy cognitive maps based on adaptive loss function.
Appl. Intell.
Qimin Zhou, Yingcang Ma, Zhiwei Xing, Xiaofei Yang
2024 J jnl
Sparse large-scale high-order fuzzy cognitive maps guided by spearman correlation coefficient.
Appl. Soft Comput.
Xuli Li, Yingcang Ma, Qimin Zhou, Xiaohong Zhang
2022 C conf
Cross-Grade Curriculum Group Based Teaching Experiment System for Innovative Design of IoT Intelligent Dynamic Measurement and Control.
ISCAS
Yu Zhang, Hongqing Ma, Peihong Li, Xihua Li, Xiangdong Jin, Qimin Zhou, Xiaoxing Shi, Xinyu Jin, Huizhong Li
2020 J jnl
Effective metric learning with co-occurrence embedding for collaborative recommendations.
Neural Networks
Hao Wu, Qimin Zhou, Rencan Nie, Jinde Cao
2019 — conf
Social Regularized Collaborative Metric Learning.
HPCC/SmartCity/DSS
Zhengxin Zhang, Qimin Zhou, Hua Zhao, Hao Wu
2019 J jnl
Spatio-temporal context-aware collaborative QoS prediction.
Future Gener. Comput. Syst.
Qimin Zhou, Hao Wu, Kun Yue, Ching-Hsien Hsu
2019 B conf
Web API Recommendation with Features Ensemble and Learning-to-Rank.
Big Data (CCF)
Hua Zhao, Jing Wang, Qimin Zhou, Xin Wang, Hao Wu
2019 — conf
ZQM at SemEval-2019 Task9: A Single Layer CNN Based on Pre-trained Model for Suggestion Mining.
SemEval@NAACL-HLT
Qimin Zhou, Zhengxin Zhang, Hao Wu, Linmao Wang
2018 — conf
NLP at IEST 2018: BiLSTM-Attention and LSTM-Attention via Soft Voting in Emotion Classification.
WASSA@EMNLP
Qimin Zhou, Hao Wu
2018 — conf
NLPZZX at SemEval-2018 Task 1: Using Ensemble Method for Emotion and Sentiment Intensity Determination.
SemEval@NAACL-HLT
Zhengxin Zhang, Qimin Zhou, Hao Wu