Updated on 2025/10/07

写真a

 
ZHA Aolong
 
Name of department
Faculty of Systems Engineering, Informatics Division
Job title
Assistant Professor
Mail Address
E-mail address
External link

Education

  • 2015
    -
    2018

    Kyushu University   Faculty of Information Science and Electrical Engineering  

Degree

  • Ph.D.   2018

Academic & Professional Experience

  • 2025.10
    -
    Now

    Wakayama University   Faculty of Systems Engineering Department of Systems Engineering   Assistant Professor

  • 2021.04
    -
    2024.01

    The University of Tokyo   Research Center for Advanced Science and Technology   Project Assistant Professor

  • 2018.11
    -
    2021.03

    National Institute of Advanced Industrial Science and Technology   Artificial Intelligence Research Center   Special Researcher

Association Memberships

  • 2021.04
    -
    Now

    Association for Computing Machinery

  • 2017.04
    -
    Now

    Institute of Electrical and Electronics Engineers

Research Areas

  • Informatics / Computational science

  • Informatics / Mathematical informatics

Research Interests

  • Boolean Satisfiability Problem

  • Combinatorial Optimization

  • Route Planning

  • GPGPU

  • Coalition Generation Problem

Published Papers

  • An Optimized GPU Implementation for GIST Descriptor

    Xiang Li, Qiong Chang, Aolong Zha, Shijie Chang, Yun Li, Jun Miyazaki

    ACM Transactions on Architecture and Code Optimization ( Association for Computing Machinery (ACM) )    2024.08

    　View Summary

    GIST descriptor is a classic feature descriptor primarily used for scene categorization and recognition tasks. It drives a bank of Gabor filters, which respond to edges and textures at various scales and orientations to capture the spatial structures in an image. Compared to other scene recognition algorithms that rely on detailed object detection, GIST has lower computational complexity, allowing it to be widely applied. However, its internal multi-scale and multi-orientation Gabor filters also mean that systems based on it cannot be executed fast enough. This paper proposed an optimized GPU kernel for the GIST descriptor. It fully takes advantage of the symmetry of Gabor filters and proposes different optimization strategies for both oblique and orthogonal orientations. Extensive experiments demonstrate that the proposed kernel is adaptable to images of various scales and different GPUs. Compared to the cuFFT library, our kernel achieves 12.09x and 3.86x acceleration on an RTX 3080 GPU and a Jetson AGX Xavier GPU, respectively.

    DOI

  • TinyStereo: A Tiny Coarse-to-Fine Framework for Vision-Based Depth Estimation on Embedded GPUs

    Qiong Chang, Xin Xu, Aolong Zha, Meng Joo Er, Yongqing Sun, Yun Li

    IEEE Transactions on Systems, Man, and Cybernetics: Systems ( Institute of Electrical and Electronics Engineers (IEEE) )    1 - 13   2024  [Refereed]

    DOI

  • A Case Study of the Profit-Maximizing Multi-Vehicle Pickup and Delivery Selection Problem for the Road Networks with the Integratable Nodes.

    Aolong Zha, Qiong Chang, Naoto Imura, Katsuhiro Nishinari （Part： Lead author )

    Proceedings of the 23rd International Conference on Computational Science - ICCS 2023     454 - 468   2023  [Refereed]

    DOI

  • An incremental SAT-based approach for solving the real-time taxi-sharing service problem

    Aolong Zha, Qiong Chang, Itsuki Noda （Part： Lead author )

    Discrete Applied Mathematics ( Elsevier BV )  335   131 - 145   2022.08  [Refereed]

    DOI

  • Efficient stereo matching on embedded GPUs with zero-means cross correlation

    Qiong Chang, Aolong Zha, Weimin Wang, Xin Liu, Masaki Onishi, Lei Lei, Meng Joo Er, Tsutomu Maruyama （Part： Corresponding author )

    Journal of Systems Architecture ( Elsevier BV )  123   102366 - 102366   2022.02  [Refereed]

    DOI

  • Hybrid modeling and predictive control of large-scale crowd movement in road network

    Rongxuan Gao, Aolong Zha, Shusuke Shigenaka, Masaki Onishi

    Proceedings of the 24th International Conference on Hybrid Systems: Computation and Control ( ACM )    2021.05  [Refereed]

    DOI

  • CNF Encodings for the Min-Max Multiple Traveling Salesmen Problem

    Aolong Zha, Rongxuan Gao, Qiong Chang, Miyuki Koshimura, Itsuki Noda （Part： Lead author )

    2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI)     285 - 292   2020.11  [Refereed]

    DOI

  • Z2-ZNCC: ZigZag Scanning based Zero-means Normalized Cross Correlation for Fast and Accurate Stereo Matching on Embedded GPU

    Qiong Chang, Aolong Zha, Weimin Wang, Xin Liu, Masaki Onishi, Tsutomu Maruyama

    2020 IEEE 38th International Conference on Computer Design (ICCD) ( IEEE )    2020.10  [Refereed]

    DOI

  • A GPU accelerator for domain transformation-based stereo matching

    Qiong Chang, Aolong Zha, Onishi Masaki, Tsutomu Maruyama

    ACM International Conference Proceeding Series ( ACM )    370 - 376   2019.12  [Refereed]

    DOI

  • Coalition Structure Generation for Partition Function Games Utilizing Partition Decision Trees

    Aolong Zha

    IEICE TRANSACTIONS on Information and Systems     2019.04

    DOI

  • 分割決定木を用いた分割関数ゲームの提携構造形成アルゴリズム

    査 澳龍, 越村 三幸, 櫻井 祐子, 横尾 真 （Part： Lead author )

    電子情報通信学会論文誌 D   J102-D ( 4 ) 313 - 323   2019.04  [Refereed]

  • N-level Modulo-Based CNF encodings of Pseudo-Boolean constraints for MaxSAT.

    Aolong Zha, Miyuki Koshimura, Hiroshi Fujita （Part： Lead author )

    Constraints An Int. J. ( Springer Science and Business Media LLC )  24 ( 2 ) 133 - 161   2019  [Refereed]

    DOI

  • Coalition Structure Generation for Partition Function Games Utilizing a Concise Graphical Representation.

    Aolong Zha, Kazuki Nomoto, Suguru Ueda, Miyuki Koshimura, Yuko Sakurai, Makoto Yokoo （Part： Lead author )

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ( Springer International Publishing )  10621 LNAI   143 - 159   2017  [Refereed]

    DOI

  • Mixed Radix Weight Totalizer Encoding for Pseudo-Boolean Constraints.

    Aolong Zha, Naoki Uemura, Miyuki Koshimura, Hiroshi Fujita （Part： Lead author )

    Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI ( IEEE )  2017-November   868 - 875   2017  [Refereed]

    DOI

  • A Hybrid Encoding of Pseudo-Boolean Constraints into CNF.

    Aolong Zha, Miyuki Koshimura, Hiroshi Fujita （Part： Lead author )

    Proceedings - 2017 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2017 ( IEEE )    9 - 12   2017  [Refereed]

    DOI

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Misc

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Works

  • https://maxsat-evaluations.github.io/2019/mse19-solver-src/complete/QMaxSAT2018.zip

    Aolong Zha, Miyuki Koshimura 

    2019
     Software

  • https://github.com/ReprodSuplem/RTSS_SUMO

    Aolong Zha, Itsuki Noda 

    2018
     Software

  • https://github.com/satcompetition/2018/blob/master/solvers/gluHack.zip

    Aolong Zha 

    2018
     Software

Awards & Honors

  • The Second Place Award on Random Track

    Winner： Aolong Zha

    2018.07   International SAT Competition 2018  

  • The Second Place Award on Main Track of Weighted Partial MaxSAT

    Winner： Naoki Uemura, Aolong Zha, Miyuki Koshimura

    2017.07   International MaxSAT Evaluation 2017  

Conference Activities & Talks

  • Real-time taxi-sharing service application based on Boolean satisfiability techniques

    Aolong Zha, Itsuki Noda

    6th International Conference on Computational Social Science  2020