Particle-Based Volume Rendering of Remote Volume Datasets Using FlowVR. - Allan Lorant; Alexandre Ancel; Kun Zhao 004; Naohisa Sakamoto; Koji Koyamada; Bruno Raffin (AsiaSim (1), 2012)

A Temporal Coherence Based Framework for Visualizing Time-Varying Unstructured Volume with PBVR. - Kun Zhao 004; Naohisa Sakamoto; Koji Koyamada (AsiaSim (1), 2012)

A Volume Compression Scheme Based on Block Division with Fast Cubic B-spline Evaluation. - Kun Zhao 004; Naohisa Sakamoto; Koji Koyamada (AsiaSim (3), 2012)

Compression for Large-Scale Time-Varying Volume Data Using Spatio-temporal Features. - Kun Zhao 004; Naohisa Sakamoto; Koji Koyamada (AsiaSim, 2013)

Fused Visualization for Large-Scale Time-Varying Volume Data with Adaptive Particle-Based Rendering. - Kun Zhao 004; Naohisa Sakamoto; Koji Koyamada (AsiaSim, 2014)

Voting-based ensemble-averaging visualization for water mass distribution. - Kun Zhao 004; Satoshi Nakada; Naohisa Sakamoto; Koji Koyamada (J. Vis., 2015)

Adaptive fused visualization for large-scale blood flow dataset with particle-based rendering. - Kun Zhao 004; Naohisa Sakamoto; Koji Koyamada (J. Vis., 2015)

Using interactive particle-based rendering to visualize a large-scale time-varying unstructured volume with mixed cell types. - Kun Zhao 004; Naohisa Sakamoto; Koji Koyamada (PacificVis, 2017)

Multi-stage Neural Networks with Single-Sided Classifiers for False Positive Reduction and Its Evaluation Using Lung X-Ray CT Images. - Masaharu Sakamoto; Hiroki Nakano; Kun Zhao 004; Taro Sekiyama (ICIAP (1), 2017)

Modeling fluid simulation with dynamic Boltzmann machine. - Kun Zhao 004; Takayuki Osogami (WSC, 2017)

Lung nodule classification by the combination of fusion classifier and cascaded convolutional neural networks. - Masaharu Sakamoto; Hiroki Nakano; Kun Zhao 004; Taro Sekiyama (ISBI, 2018)

Visual analytics for team-based invasion sports with significant events and Markov reward process. - Kun Zhao 004; Takayuki Osogami; Tetsuro Morimura (CoRR, 2019)

Learning to Estimate Driver Drowsiness from Car Acceleration Sensors Using Weakly Labeled Data. - Takayuki Katsuki; Kun Zhao 004; Takayuki Yoshizumi (ICASSP, 2020)