Ping Qiu

24 papers C 1Journal 18Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
DS_HURNSP: An effective method for mining high utility repeated negative sequential patterns from data streams.
Inf. Process. Manag.
Xiangjun Dong, Yicong Zhen, Ping Qiu, Jing Chi, Lei Guo, Wenpeng Lu, Long Zhao, Yongshun Gong, Yuhai Zhao
2026 J jnl
HU-RNSP: Efficiently mining high-utility repeated negative sequential patterns.
Inf. Process. Manag.
Ke Xiao, Ping Qiu, Dun Lan, Xiangjun Dong, Lei Guo, Yuhai Zhao, Yongshun Gong, Long Zhao
2026 J jnl
TaNSP: An efficient target pattern mining algorithm based on negative sequential pattern.
Inf. Process. Manag.
Xiaowen Cui, Xue Dong, Ping Qiu, Chuanhou Sun, Yuhai Zhao, Wenpeng Lu, Xiangjun Dong
2025 — conf
A Comparative Study of Several Different Neural Network Approaches for Information Security Modeling.
MLIC
Jiahui Xie, Junpeng Li, Ping Qiu
2025 J jnl
BioLLM: A standardized framework for integrating and benchmarking single-cell foundation models.
Patterns
Ping Qiu, Qianqian Chen, Hua Qin, Shuangsang Fang, Yilin Zhang, Yanlin Zhang, Tianyi Xia, Lei Cao, Yong Zhang, Xiaodong Fang, Yuxiang Li, Luni Hu
2025 J jnl
Disentangling the impact of bidding price on advertising performance in E-commerce search advertising: The moderating role of product competitiveness.
Inf. Manag.
Ping Qiu, Zhao Cai, Xiang T. R. Kong, Hing Kai Chan, Ye Shi
2025 J jnl
Feature selection method based on wavelet similarity combined with maximum information coefficient.
Inf. Sci.
Gaoteng Yuan, Xiang Li, Ping Qiu, Xiaofeng Zhou
2025 — conf
Prediction of Local Field Potential Epilepsy Signals Using Wavelet Transform Combined with Multi-Layer LSTM.
BIBM
Gaoteng Yuan, Ping Qiu, Xiang Li, Jianchu Lin, Chengcheng Cao, Dongping Gao
2025 J jnl
TK-RNSP: Efficient Top-K Repetitive Negative Sequential Pattern mining.
Inf. Process. Manag.
Dun Lan, Chuanhou Sun, Xiangjun Dong, Ping Qiu, Yongshun Gong, Xinwang Liu, Philippe Fournier-Viger, Chengqi Zhang
2025 J jnl
Transferable Class Statistics and Multi-scale Feature Approximation for 3D Object Detection.
CoRR
Hao Peng, Hong Sang, Yajing Ma, Ping Qiu, Chao Ji
2025 J jnl
Transferable class statistics and multi-scale feature approximation for 3D object detection.
Comput. Graph.
Hao Peng, Hong Sang, Yajing Ma, Ping Qiu, Chao Ji
2025 J jnl
Why Federated Optimization Fails to Achieve Perfect Fitting? A Theoretical Perspective on Client-Side Optima.
CoRR
Zhongxiang Lei, Qi Yang, Ping Qiu, Gang Zhang, Yuanchi Ma, Jinyan Liu
2024 J jnl
A fusion of centrality and correlation for feature selection.
Expert Syst. Appl.
Ping Qiu, Chunxia Zhang, Dongping Gao, Zhendong Niu
2024 J jnl
Mining actionable repetitive positive and negative sequential patterns.
Knowl. Based Syst.
Chuanhou Sun, Xiaoqiang Ren, Xiangjun Dong, Ping Qiu, Xiaoming Wu, Long Zhao, Ying Guo, Yongshun Gong, Chengqi Zhang
2023 J jnl
An Efficient Method for Modeling Nonoccurring Behaviors by Negative Sequential Patterns With Loose Constraints.
IEEE Trans. Neural Networks Learn. Syst.
Ping Qiu, Yongshun Gong, Yuhai Zhao, Longbing Cao, Chengqi Zhang, Xiangjun Dong
2023 — conf
Disentangling the Impact of Bidding Price on Click-through Rate and Product Sales in E-commerce Search Advertising.
PACIS
Ping Qiu, Zhao Cai, Hing Kai Chan, Xiangtianrui Kong, Ye Shi
2023 J jnl
Research on the multi-source causal feature selection method based on multiple causal relevance.
Knowl. Based Syst.
Ping Qiu, Zhendong Niu, Chunxia Zhang
2021 J jnl
Recommending scientific paper via heterogeneous knowledge embedding based attentive recurrent neural networks.
Knowl. Based Syst.
Yifan Zhu, Qika Lin, Hao Lu, Kaize Shi, Ping Qiu, Zhendong Niu
2021 J jnl
TCIC_FS: Total correlation information coefficient-based feature selection method for high-dimensional data.
Knowl. Based Syst.
Ping Qiu, Zhendong Niu
2020 J jnl
Heterogeneous teaching evaluation network based offline course recommendation with graph learning and tensor factorization.
Neurocomputing
Yifan Zhu, Hao Lu, Ping Qiu, Kaize Shi, James Chambua, Zhendong Niu
2019 J jnl
Mining Top- ${k}$ Useful Negative Sequential Patterns via Learning.
IEEE Trans. Neural Networks Learn. Syst.
Xiangjun Dong, Ping Qiu, Jinhu Lü, Longbing Cao, Tiantian Xu
2017 C conf
NegI-NSP: Negative sequential pattern mining based on loose constraints.
IECON
Ping Qiu, Long Zhao, Xiangjun Dong
2011 — ch.
Current Omics Technologies in Biomarker Discovery.
Handbook of Research on Computational and Systems Biology
Wei Ding, Ping Qiu, Yan-Hui Liu, Wenqing Feng
2010 — conf
OREX - An Optical Ring with Electrical Crossbar Hybrid Photonic Network-on-Chip.
IWIA
Cisse Ahmadou Dit Adi, Ping Qiu, Hidetsugu Irie, Takefumi Miyoshi, Tsutomu Yoshinaga