Qihe Liu

According to our database, Qihe Liu authored at least 39 papers between 2005 and 2024.

Collaborative distances:

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

2024

Long-short interest network with graph-based method for sequential recommendation.

Wangdong Mu, Qihe Liu, Hongrong Cheng, Ming Zhuo

Int. J. Mach. Learn. Cybern., August, 2024

Towards a Novel Perspective on Adversarial Examples Driven by Frequency.

Zhun Zhang, Yi Zeng, Qihe Liu, Shijie Zhou

CoRR, 2024

Enhancing Tracking Robustness with Auxiliary Adversarial Defense Networks.

Zhewei Wu, Ruilong Yu, Qihe Liu, Shuying Cheng, Shilin Qiu, Shijie Zhou

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Preprocessing-based Adversarial Defense for Object Detection via Feature Filtration.

Ling Zhou, Qihe Liu, Shijie Zhou

Proceedings of the 7th International Conference on Algorithms, Computing and Systems, 2023

2022

Adversarial attack and defense technologies in natural language processing: A survey.

Shilin Qiu, Qihe Liu, Shijie Zhou, Wen Huang

Neurocomputing, 2022

PATVD:Vulnerability Detection Based on Pre-training Techniques and Adversarial Training.

Weiye Yu, Guang Kou, Qihe Liu, Haoyu Zhang, Qiang Wang

Proceedings of the IEEE Smartworld, 2022

2021

Learning Syllables Using Conv-LSTM Model for Swahili Word Representation and Part-of-speech Tagging.

Casper Shikali Shivachi, Refuoe Mokhosi, Zhou Shijie, Qihe Liu

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021

Privacy preservation in Distributed Deep Learning: A survey on Distributed Deep Learning, privacy preservation techniques used and interesting research directions.

Emmanuel Antwi-Boasiako, Shijie Zhou, Yongjian Liao, Qihe Liu, Yuyu Wang, Kwabena Owusu-Agyemang

J. Inf. Secur. Appl., 2021

GGCAD: A Novel Method of Adversarial Detection by Guided Grad-CAM.

Zhun Zhang, Qihe Liu, Shijie Zhou

Proceedings of the Wireless Algorithms, Systems, and Applications, 2021

A Novel DGA Domain Adversarial Sample Generation Method By Geometric Perturbation.

Qihe Liu, Gao Yu, Yuanyuan Wang, Zeng Yi

Proceedings of the AISS 2021: 3rd International Conference on Advanced Information Science and System, Sanya, China, November 26, 2021

2020

Unknown Attack Detection Based on Zero-Shot Learning.

Zhun Zhang, Qihe Liu, Shilin Qiu, Shijie Zhou, Cheng Zhang

IEEE Access, 2020

Privacy-Preservation in Distributed Deep Neural Networks via Encryption of Selected Gradients.

Emmanuel Antwi-Boasiako, Shijie Zhou, Yongjian Liao, Qihe Liu

Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

2018

A canonical form-based approach to affine registration of DTI.

Wei Liu, Leiting Chen, Hongbin Cai, Qihe Liu, Jin He, Nanxi Fei

Multim. Tools Appl., 2018

2017

Age invariant face recognition and retrieval by coupled auto-encoder networks.

Chenfei Xu, Qihe Liu, Mao Ye

Neurocomputing, 2017

An Anti-collision Algorithm Based on Task Scheduling Model in RFID System.

Shijie Zhou, Qihe Liu, Jin Xu, Yaqi He

Proceedings of the 3rd International Conference on Big Data Computing and Communications, 2017

Gas Sensor Drift Compensation by an Optimal Linear Transformation.

Qihe Liu, Shijie Zhou, Xianqiong Cheng, Hongrong Cheng, Huabo Zhang

Proceedings of the 3rd International Conference on Big Data Computing and Communications, 2017

2016

Domain adaptation of image classification based on collective target nearest-neighbor representation.

Song Tang, Mao Ye, Qihe Liu, Fan Li

J. Electronic Imaging, 2016

2015

Gas Recognition under Sensor Drift by Using Deep Learning.

Qihe Liu, Xiaonan Hu, Mao Ye, Xianqiong Cheng, Fan Li

Int. J. Intell. Syst., 2015

Fast crowd density estimation with convolutional neural networks.

Min Fu, Pei Xu, Xudong Li, Qihe Liu, Mao Ye, Ce Zhu

Eng. Appl. Artif. Intell., 2015

2014

Dynamic Background Learning through Deep Auto-encoder Networks.

Pei Xu, Mao Ye, Xue Li, Qihe Liu, Yi Yang, Jian Ding

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Motion detection via a couple of auto-encoder networks.

Pei Xu, Mao Ye, Qihe Liu, Xudong Li, Lishen Pei, Jian Ding

Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

An Effective Approach to Handling Noise and Drift in Electronic Noses.

Sanad Al-Maskari, Xue Li, Qihe Liu

Proceedings of the Databases Theory and Applications, 2014

2013

An Extension to Rough c-Means Clustering Algorithm Based on Boundary Area Elements Discrimination.

Fan Li, Qihe Liu

Trans. Rough Sets, 2013

2011

Real-time control of individual agents for crowd simulation.

Yunbo Rao, Leiting Chen, Qihe Liu, Weiyao Lin, Yanmei Li, Jun Zhou

Multim. Tools Appl., 2011

An Extension to Rough c-Means Clustering.

Fan Li, Qihe Liu

Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

2009

A hierarchical model for test-cost-sensitive decision systems.

Fan Min, Qihe Liu

Inf. Sci., 2009

Blind Image Extraction by Using Local Smooth Information.

Mao Ye, Yongguo Liu, Ming Liu, Fan Li, Qihe Liu

Proceedings of the Fifth International Conference on Natural Computation, 2009

2008

Rough sets approach to symbolic value partition.

Fan Min, Qihe Liu, Chunlan Fang

Int. J. Approx. Reason., 2008

New Inter-Cluster Proximity Index for Fuzzy <i>c</i>-Means Clustering.

Fan Li, Shijin Dai, Qihe Liu, Guowei Yang

IEICE Trans. Inf. Syst., 2008

Intra-cluster Similarity Index Based on Fuzzy Rough Sets for Fuzzy C-Means Algorithm.

Fan Li, Fan Min, Qihe Liu

Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008

A few online algorithms for extracting minor generalized eigenvectors.

Mao Ye, Yongguo Liu, Hong Wu, Qihe Liu

Proceedings of the International Joint Conference on Neural Networks, 2008

2007

Minimal Attribute Space Bias for Attribute Reduction.

Fan Min, Xianghui Du, Hang Qiu, Qihe Liu

Proceedings of the Rough Sets and Knowledge Technology, Second International Conference, 2007

2006

The <i>M</i>-Relative Reduct Problem.

Fan Min, Qihe Liu, Hao Tan, Leiting Chen

Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006

Monotonic Convergence of a Nonnegative ICA Algorithm on Stiefel Manifold.

Mao Ye, Xuqian Fan, Qihe Liu

Proceedings of the Neural Information Processing, 13th International Conference, 2006

Reduction Based Symbolic Value Partition.

Fan Min, Qihe Liu, Chunlan Fang, Jianzhong Zhang

Proceedings of the Advances in Hybrid Information Technology, 2006

Knowledge Reduction in Inconsistent Decision Tables.

Qihe Liu, Leiting Chen, Jianzhong Zhang, Fan Min

Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006

2005

Distributed Gridflow Model and Implementation.

Cheng Bo, Qihe Liu, Guowei Yang

Proceedings of the Network and Parallel Computing, IFIP International Conference, 2005

A New Adaptive Crossover Operator for the Preservation of Useful Schemata.

Fan Li, Qihe Liu, Fan Min, Guowei Yang

Proceedings of the Advances in Machine Learning and Cybernetics, 2005

A Divide-and-Conquer Discretization Algorithm.

Fan Min, Lijun Xie, Qihe Liu, Hongbin Cai

Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005