A Divide-and-Conquer Discretization Algorithm. - Fan Min 001; Lijun Xie; Qihe Liu; Hongbin Cai (FSKD (1), 2005)

A New Adaptive Crossover Operator for the Preservation of Useful Schemata. - Fan Li; Qihe Liu; Fan Min 001; Guowei Yang (ICMLC, 2005)

Distributed Gridflow Model and Implementation. - Cheng Bo; Qihe Liu; Guowei Yang (NPC, 2005)

Knowledge Reduction in Inconsistent Decision Tables. - Qihe Liu; Leiting Chen; Jianzhong Zhang; Fan Min 001 (ADMA, 2006)

Reduction Based Symbolic Value Partition. - Fan Min 001; Qihe Liu; Chunlan Fang; Jianzhong Zhang (ICHIT, 2006)

Monotonic Convergence of a Nonnegative ICA Algorithm on Stiefel Manifold. - Mao Ye 001; Xuqian Fan; Qihe Liu (ICONIP (1), 2006)

The M-Relative Reduct Problem. - Fan Min 001; Qihe Liu; Hao Tan; Leiting Chen (RSKT, 2006)

Minimal Attribute Space Bias for Attribute Reduction. - Fan Min 001; Xianghui Du; Hang Qiu 002; Qihe Liu (RSKT, 2007)

A few online algorithms for extracting minor generalized eigenvectors. - Mao Ye 001; Yongguo Liu; Hong Wu; Qihe Liu (IJCNN, 2008)

Intra-cluster Similarity Index Based on Fuzzy Rough Sets for Fuzzy C-Means Algorithm. - Fan Li; Fan Min 001; Qihe Liu (RSKT, 2008)

New Inter-Cluster Proximity Index for Fuzzy c-Means Clustering. - Fan Li; Shijin Dai; Qihe Liu; Guowei Yang (IEICE Trans. Inf. Syst., 2008)

Rough sets approach to symbolic value partition. - Fan Min 001; Qihe Liu; Chunlan Fang (Int. J. Approx. Reason., 2008)

Blind Image Extraction by Using Local Smooth Information. - Mao Ye 001; Yongguo Liu; Ming Liu; Fan Li; Qihe Liu (ICNC (3), 2009)

A hierarchical model for test-cost-sensitive decision systems. - Fan Min 001; Qihe Liu (Inf. Sci., 2009)

An Extension to Rough c-Means Clustering. - Fan Li; Qihe Liu (RSKT, 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 Algorithm Based on Boundary Area Elements Discrimination. - Fan Li; Qihe Liu (Trans. Rough Sets, 2013)

An Effective Approach to Handling Noise and Drift in Electronic Noses. - Sanad Al-Maskari; Xue Li 001; Qihe Liu (ADC, 2014)

Motion detection via a couple of auto-encoder networks. - Pei Xu; Mao Ye 001; Qihe Liu; Xudong Li 001; Lishen Pei; Jian Ding (ICME, 2014)

Dynamic Background Learning through Deep Auto-encoder Networks. - Pei Xu; Mao Ye 001; Xue Li 001; Qihe Liu; Yi Yang 001; Jian Ding (ACM Multimedia, 2014)

Fast crowd density estimation with convolutional neural networks. - Min Fu; Pei Xu; Xudong Li 001; Qihe Liu; Mao Ye 001; Ce Zhu (Eng. Appl. Artif. Intell., 2015)

Gas Recognition under Sensor Drift by Using Deep Learning. - Qihe Liu; Xiaonan Hu; Mao Ye 001; Xianqiong Cheng; Fan Li (Int. J. Intell. Syst., 2015)

Domain adaptation of image classification based on collective target nearest-neighbor representation. - Song Tang 001; Mao Ye 001; Qihe Liu; Fan Li (J. Electronic Imaging, 2016)

Gas Sensor Drift Compensation by an Optimal Linear Transformation. - Qihe Liu; Shijie Zhou 002; Xianqiong Cheng; Hongrong Cheng; Huabo Zhang (BigCom, 2017)

An Anti-collision Algorithm Based on Task Scheduling Model in RFID System. - Shijie Zhou 002; Qihe Liu; Jin Xu; Yaqi He (BigCom, 2017)

Age invariant face recognition and retrieval by coupled auto-encoder networks. - Chenfei Xu; Qihe Liu; Mao Ye 001 (Neurocomputing, 2017)

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)

Privacy-Preservation in Distributed Deep Neural Networks via Encryption of Selected Gradients. - Emmanuel Antwi-Boasiako; Shijie Zhou 002; Yongjian Liao; Qihe Liu (HPCC/DSS/SmartCity, 2020)

Unknown Attack Detection Based on Zero-Shot Learning. - Zhun Zhang; Qihe Liu; Shilin Qiu; Shijie Zhou 002; Cheng Zhang (IEEE Access, 2020)

A Novel DGA Domain Adversarial Sample Generation Method By Geometric Perturbation. - Qihe Liu; Gao Yu; Yuanyuan Wang; Zeng Yi (AISS, 2021)

GGCAD: A Novel Method of Adversarial Detection by Guided Grad-CAM. - Zhun Zhang; Qihe Liu; Shijie Zhou 002 (WASA (3), 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 002; Yongjian Liao; Qihe Liu; Yuyu Wang; Kwabena Owusu-Agyemang (J. Inf. Secur. Appl., 2021)

Learning Syllables Using Conv-LSTM Model for Swahili Word Representation and Part-of-speech Tagging. - Casper Shikali Shivachi; Refuoe Mokhosi; Shijie Zhou 002; Qihe Liu (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021)

PATVD:Vulnerability Detection Based on Pre-training Techniques and Adversarial Training. - Weiye Yu; Guang Kou; Qihe Liu; Haoyu Zhang; Qiang Wang 020 (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Adversarial attack and defense technologies in natural language processing: A survey. - Shilin Qiu; Qihe Liu; Shijie Zhou 002; Wen Huang 002 (Neurocomputing, 2022)

Preprocessing-based Adversarial Defense for Object Detection via Feature Filtration. - Ling Zhou; Qihe Liu; Shijie Zhou 002 (ICACS, 2023)

Enhancing Tracking Robustness with Auxiliary Adversarial Defense Networks. - Zhewei Wu; Ruilong Yu; Qihe Liu; Shuying Cheng; Shilin Qiu; Shijie Zhou 002 (ECCV (46), 2024)

Towards a Novel Perspective on Adversarial Examples Driven by Frequency. - Zhun Zhang; Yi Zeng; Qihe Liu; Shijie Zhou 002 (CoRR, 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., 2024)

Hard-label adversarial attack with dual-granularity optimization on texts. - Shilin Qiu; Qihe Liu; Shijie Zhou 002; Min Gou; Zhun Zhang; Zhewei Wu (Neurocomputing, 2025)

Information-Theoretic Dual Memory System for continual learning. - Runqing Wu; Kaihui Huang; Hanyi Zhang; Qihe Liu; Jinyu Guo; Jingsong Deng; Fei Ye (Knowl. Based Syst., 2025)

Information-Theoretic Dual Memory System for Continual Learning. - Runqing Wu; Kaihui Huang; Hanyi Zhang; Qihe Liu; Guojin Yu; Jingsong Deng; Fei Ye (CoRR, 2025)

Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model. - Runqing Wu; Fei Ye; Qihe Liu; Guoxi Huang; Jinyu Guo; Rongyao Hu (CoRR, 2025)

Adversarial Lens Flares: A Threat to Camera-Based Systems in Smart Devices. - Zhun Zhang; Yi Zeng; Qihe Liu; Shilin Qiu; Shijie Zhou 002 (IEEE Internet Things J., 2025)