Research on the compound operation optimization problem of AS/RS. - Yangbo Huang; Wanjun Liu; Peng Ding; Hui Liu (BIC-TA, 2010)

Ant Colony Optimization Algorithm Based on Immunity Vaccine and Dynamic Pheromone Updating. - Wanjun Liu; Juan Zhang; Junli Liu (ICDM Workshops, 2010)

Time-domain reconstruction of buried objects using an estimated pulse. - Hui Zhou; Wanjun Liu (IGARSS, 2011)

Automatic custom instruction identification for application-specific instruction set processors. - Chenglong Xiao; Emmanuel Casseau; Shanshan Wang; Wanjun Liu (Microprocess. Microsystems, 2014)

Selecting most profitable instruction-set extensions using ant colony heuristic. - Shanshan Wang; Chenglong Xiao; Wanjun Liu; Emmanuel Casseau; Xiao Yang (DASIP, 2015)

A comparison of heuristic algorithms for custom instruction selection. - Shanshan Wang; Chenglong Xiao; Wanjun Liu; Emmanuel Casseau (Microprocess. Microsystems, 2016)

Instruction Detection in SCADA/Modbus Network Based on Machine Learning. - Haicheng Qu; Jitao Qin; Wanjun Liu; Hao Chen 014 (MLICOM (2), 2017)

A Faster Algorithm for Enumerating Connected Convex Subgraphs in Acyclic Digraphs. - Shanshan Wang; Chenglong Xiao; Wanjun Liu (IEEE Embed. Syst. Lett., 2017)

Finite-time boundedness analysis and H∞ control for switched neutral systems with mixed time-varying delays. - Yali Dong; Wanjun Liu; Tianrui Li 001; Shuang Liang (J. Frankl. Inst., 2017)

Parallel custom instruction identification for extensible processors. - Chenglong Xiao; Shanshan Wang; Wanjun Liu; Emmanuel Casseau (J. Syst. Archit., 2017)

Parallel Dimensionality-Varied Convolutional Neural Network for Hyperspectral Image Classification. - Haicheng Qu; Xiu Yin; Xuejian Liang; Wanjun Liu (ICIS, 2018)

Dimensionality-Varied Convolutional Neural Network for Hyperspectral Image Classification With Small-Sized Labeled Samples. - Xuejian Liang; Wanjun Liu; Ye Zhang; Jie Yu; Haicheng Qu (WHISPERS, 2018)

Location-matching tracking under convolutional neural network. - Daqian Liu; Wanjun Liu; Bowen Fei (J. Electronic Imaging, 2018)

Robust Visual Tracking Based on Complementary Diverse Information. - Yuzhe Xing; Wei Guo; Wanjun Liu; Haicheng Qu (CIS/RAM, 2019)

Parallel Enumeration of Custom Instructions Based on Multidepth Graph Partitioning. - Shanshan Wang; Chenglong Xiao; Wanjun Liu (IEEE Embed. Syst. Lett., 2019)

Visual node prediction for visual tracking. - Heng Yuan; Wen-Tao Jiang; Wan-Jun Liu; Sheng-Chong Zhang (Multim. Syst., 2019)

Spatial-Spectral Joint Classification of Hyperspectral Image With Locality and Edge Preserving. - Hui Zhang; Wanjun Liu; Huanhuan Lv (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Research on Traffic Sign Recognition based on Convolutional Neural Network. - Wanjun Liu; Jiaxin Li; Haicheng Qu (CSAI, 2021)

An Optimal Algorithm for Enumerating Connected Convex Subgraphs in Acyclic Digraphs. - Chenglong Xiao; Shanshan Wang; Wanjun Liu; Xinlin Wang; Emmanuel Casseau (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

Multiple-Splitting Projection Test for High-Dimensional Mean Vectors. - Wanjun Liu; Xiufan Yu; Runze Li (J. Mach. Learn. Res., 2022)

Generalized Causal Tree for Uplift Modeling. - Preetam Nandy; Xiufan Yu; Wanjun Liu; Ye Tu; Kinjal Basu 001; Shaunak Chatterjee (IEEE Big Data, 2023)

Quantifying the Effectiveness of Advertising: A Bootstrap Proportion Test for Brand Lift Testing. - Wanjun Liu; Xiufan Yu; Jialiang Mao; Xiaoxu Wu; Justin Dyer (CIKM, 2023)

Hierarchical MVSNet with cost volume separation and fusion based on U-shape feature extraction. - Wanjun Liu; Junkai Wang; Haicheng Qu; Lei Shen (Multim. Syst., 2023)

Image shadow removal algorithm guided by progressive attention mechanism. - Haicheng Qu; Chang Tong; Wanjun Liu (Signal Image Video Process., 2023)

Multi-level continuous encoding and decoding based on dilation convolution for super-resolution. - Zhenghuan Zhang; Yantu Ma; Wanjun Liu; Qiuhong Shi (Multim. Tools Appl., 2024)

Resource allocation models and heuristics for the multi-project scheduling with global resource transfers and local resource constraints. - Wanjun Liu; Jingwen Zhang; Mario Vanhoucke; Weikang Guo (Comput. Ind. Eng., 2025)

Neuron signal attenuation activation mechanism for deep learning. - Wentao Jiang; Heng Yuan; Wanjun Liu (Patterns, 2025)