論文

• Xiang Li, Qiong Chang, Aolong Zha, Shijie Chang, Yun Li, Jun Miyazaki. An Optimized GPU Implementation for GIST Descriptor, ACM Transactions on Architecture and Code Optimization, ACM, Aug. 2024.
• Ran Dong, Qiong Chang, Junpei Zhong, Soichiro Ikuno. Motion Capture-Based Robotic Imitation: A Keyframeless Implementation Method Using Multivariate Empirical Mode Decomposition, IEEE/ASME Transactions on Mechatronics, IEEE, Aug. 2024.
• Qiong Chang, Xin Xu, Aolong Zha, Eisei Nakahara, Yun Li. TinyStereo: A Tiny Coarse-to-Fine Framework for Vision-based Depth Estimation on Embedded GPUs, IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE, May 2024.
• Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka. Diffusion unit: Interpretable edge enhancement and suppression learning for 3D point cloud segmentation, NEUROCOMPUTING., Vol. 559, No. 126780, Nov. 2023.
• Yuta Matsuura, Zhang Heming, Kousuke Nakao, Qiong Chang, Iman Firmansyah, Shin Kawai, Yoshiki Yamaguchi, Tsutomu Maruyama, Hisayoshi Hayashi, Hajime Nobuhara. High-precision plant height measurement by drone with RTK-GNSS and single camera for real-time processing, Scientific Reports, Apr. 2023.
• Qiong Chang, Xiang Li, Yun Li, Jun Miyazaki. Multi-Directional Sobel Operator Kernel on Gpus, Journal of Parallel and Distributed Computing, Elsevier, volume 177, Page 160-170, Feb. 2023.
• Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka. DS-Net: A dedicated approach for collapsed building detection from post-event airborne point clouds, International Journal of Applied Earth Observation and Geoinformation, Vol. 116, No. 103150, 103150, Feb. 2023.
• Aolong Zha, Qiong Chang, Itsuki Noda. An Incremental SAT-Based Approach for Solving the Real-Time Taxi-Sharing Service Problem, Discrete Applied Mathematics, Elsevier, Aug. 2022.
• Mengjiao Pei, Changjin Wan, Qiong Chang, Xinran Wang, Yi shi, Yun Li. A Smarter Pavlovian Dog with Optically Modulated Associative Learning in an Organic Ferroelectric Neuromem, Research, Vol. 2021, No. 9820502, Dec. 2021.
• Qiong Chang, Aolong Zha, Weimin Wang, Xin Liu, Masaki Onishi, Lei Lei, Meng Joo Er, Tsutomu Maruyama. Efficient Stereo Matching on Embedded GPUs with Zero-Means Cross Correlation, Journal of Systems Architecture, ELSEVIER, Vol. 123, Dec. 2021.
• Ran Dong, Qiong Chang, Soichiro Ikuno. A deep learning framework for realistic robot motion generation, Neural Computing and Applications, Springer, June 2021.
• Qiong Chang, Tsutomu Maruyama. Real-time stereo vision system: a multi-block matching on GPU, IEEE Access, IEEE, Vol. 6, Page 42030-42046, June 2018.

国際会議発表 (査読有り)

• Eisei Nakahara, Hong Liu, Qiong Chang, Xianhua Han. Deep Dual Internal Learning for Hyperspectral Image Super-Resolution, International Conference on Multimedia Modeling (MMM), Jan. 2025.
• Yu Du, Ting Yang, Qiong Chang, Wei Zhong, Weimin Wang. Enhancing Lidar and Radar Fusion for Vehicle Detection in Adverse Weather via Cross-Modality Semantic Consistency, Chinese Conference on Pattern Recognition and Computer Vision (PRCV), Dec. 2024.
• Wei Jun Wong, Kyoko Yasuda, Qiong Chang, Jun Miyazaki. A Data Model and Implementation of a Data Lineage Management System for Database Repair and Simulation, International Conference on Information Integration and Web Intelligence (iiWAS), Proc. of 26th International Conference on Information Integration and Web Intelligence (iiWAS 2024), Springer, Page 243-248, Dec. 2024.
• Masashi Nakano, Qiong Chang, Jun Miyazaki. Extension of Parallel Primitives and Their Applications to Large-Scale Data Processing, 35th International Conference on Database and Expert Systems Applications (DEXA 2024), Proc. of DEXA 2024, pp. 248–253, Aug. 2024.
• Shinya Miura, Qiong Chang, Jun Miyazaki. K-way In-place Merge by CPU-GPU Cooperative Processing, 35th IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP 2024), Proc. of IEEE ASAP 2024, pp. 152-160, July 2024.
• Ziyang Yu, Ting Yang, Qiong Chang, Yu Liu, Weimin Wang. Attribution-based Scanline Perturbation Attack on 3D Detectors of LiDar Point Clouds, 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), IEEE, Mar. 2024.
• Kei Terakura, Qiong Chang, Jun Miyazaki. Acceleration of Neural Network Inference for Embedded GPU Systems, IEEE International Conference on Big Data and Smart Computing (BigComp 2024), Proc. of IEEE BigComp 2024, pp. 361-362, Feb. 2024.
• Yoshiki Kunimoto, Qiong Chang, Yoshiki Yamaguchi, Tsutomu Maruyama. GPU Acceleration of Multi-object Tracking with Motion Vector interpolation and Affine Transformation, IEEE 34th International Conference on Application-specific Systems, Architectures and Processors (ASAP), IEEE, Oct. 2023.
• Mingman Xu, Qiong Chang, Jun Miyazaki. How Does the System Perceive Me? --- A Transparent and Tunable Recommender System, the 34th International Conference on Database and Expert Systems Applications (DEXA 2023), Proc. of the 34th International Conference on Database and Expert Systems Applications (DEXA 2023), Springer, pp. 33-48, Aug. 2023.
• Aolong zha, Qiong Chang, Naoto Imura, Katsuhiro Nishinari:. A case study of the profit-maximizing multi-vehicle pickup and delivery selection problem for the road networks with the integratable nodes, 23rd International Conference on Computational Science (ICCS), July 2023.
• Qiong Chang, Xiang Li, Xin Xu, Xin Liu, Yun Li, Jun Miyazaki. StereoVAE: A lightweight stereo matching system through embedded GPU, IEEE International Conference on Robotics and Automation (ICRA), May 2023.
• Weimin Wang, Qiong Chang. VAN-ICP: GPU-Accelerated Approximate Nearest Neighbor Search for ICP Registration via Voxel Dilation, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2023.
• Shi-Jun Luo, Hyoil Han, Qiong Chang, Jun Miyazaki. Automatic Extraction of Effective Relations in Knowledge Graph for a Recommendation Explanation System, The 38th ACM/SIGAPP Symposium On Applied Computing (SAC 2023), Proc. of ACM/SIGAPP Symposium On Applied Computing 2023, pp. 1754-1761, Mar. 2023.
• Haoyi Xiu, Xin Liu, Weimin Wang, Kyoung-Sook Kim, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka. Optimizing Local Feature Representations of 3D Point Clouds with Anisotropic Edge Modeling, International Conference on Multimedia Modeling (MMM), Proceedings of International Conference on Multimedia Modeling (MMM) 2023, pp. 269-281, Mar. 2023.
• Yun Liu, Jun Miyazaki, Qiong Chang. Jointly Learning Propagating Features on the Knowledge Graph for Movie Recommendation, The 33rd International Conference on Database and Expert Systems Applications (DEXA2022), Proc. of the 33rd International Conference on Database and Expert Systems Applications, Springer, pp. 3-16, Aug. 2022.
• Yuzuki Mimura, Qiong Chang, Maruyama Tsutomu. Acceleration of video stabilization using embedded GPU, In IEEE 33rd International Conference on Application-specific Systems, Architectures and Processors (ASAP), Aug. 2022.
• Yun Liu, Jun Miyazaki, Qiong Chang. Knowledge Graph Enhanced Multi-Task Learning between Reviews and Ratings for Movie Recommendation, The 37th ACM/SIGAPP Symposium on Applied Computing (ACM SAC 2022), Proc. ACM SAC 2022, pp. 1882 -1889, Apr. 2022.
• Haoyi Xiu, Xin Liu, Weiming Wang, Kim Kyoung-Sook, Takayuki Shinohara, Qiong Chang, Masashi Matsuoka. Enhancing Local Feature Learning for 3D Point Cloud Processing using Unary-Pairwise Attention, The 32nd British Machine Vision Conference, Nov. 2021.
• Tsubasa Ohara, Qiong Chang, Jun Miyazaki. Fast SQL/Row Pattern Recognition Query Processing Using Parallel Primitives on GPUs, The 32nd International Conference on Database and Expert Systems Applications (DEXA2021), Proc. of the 32nd International Conference on Database and Expert Systems Applications (DEXA2021), LNCS 12923, pp. 22-34, Sept. 2021.
• Aolong Zha, Rongxuan Gao, Qiong Chang, Miyuki Koshimura, Itsuki Noda. CNF Encodings for the Min-Max Multiple Traveling Salesmen Problem, IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI), IEEE, Dec. 2020.
• Qiong Chang, Aolong Zha, Weimin Wang, Xin Liu, Masaki Onishi, Tsutomu Maruyama. Z2-ZNCC: ZigZag Scanning based Zero-means Normalized Cross Correlation for Fast and Accurate Stereo Matching on Embedded GPU, IEEE 38th International Conference on Computer Design (ICCD), IEEE, Dec. 2020.
• Qiong Chang. A Simulator for Analyzing the Balance of Mafia Game, 2020 IEEE International Conference on Artificial Intelligence and Information Systems, IEEE, Sept. 2020.
• Qiong Chang, Aolong Zha, Onishi Masaki, Tsutomu Maruyama. A GPU Accelerator for Domain Transformation-Based stereo Matching, 2nd International Conference on Algorithms, Computing and Artificial Intelligence, Proceedings of the 2019 2nd International Conference on Algorithms, Computing and Artificial Intelligence, ACM, Dec. 2019.
• Qiong Chang, Tsutomu Maruyama. Real-Time High-Quality Stereo Matching System on a GPU, IEEE 29th International Conference on Application-specific Systems, Architectures and Processors (ASAP), IEEE, Aug. 2018.
• Qiong Chang, Masaki Onishi, Tsutomu Maruyama. Fast convolution kernels on pascal GPU with high memory efficiency, 26th High Performance Computing Symposium, HPC '18: Proceedings of the High Performance Computing Symposium, Society for Computer Simulation International, Apr. 2018.

国内会議発表 (査読有り)

• 三浦 真矢, 常 穹, 宮崎 純. GPUによる大規模データのk-way in-placeマージ, xSIG 2023, xSIG 2023論文集, Aug. 2023.

国内会議発表 (査読なし・不明)

• 岡﨑 大知, 常 穹, 宮崎 純. GPUを用いた大規模グラフ処理アルゴリズム の高速化, 第16回データ工学と情報マネジメントに関するフォーラム, DEIM2024論文集, Feb. 2024.
• Wei Jun Wong, Qiong Chang, Jun Miyazaki. A Polystore System for Graph and Key- Value Databases based on SQL/PGQ, 第16回データ工学と情報マネジメントに関するフォーラム, DEIM2024論文集, Feb. 2024.
• 安田 香子, 常 穹, 宮崎 純. データの流通管理・予測のためのリ ネージュデータ管理システム, 第16回データ工学と情報マネジメントに関するフォーラム, DEIM2024論文集, Feb. 2024.
• 三浦 真矢, 常 穹, 宮崎 純. GPUを利用した大規模データの k-way inplace マージ, 第16回データ工学と情報マネジメントに関するフォーラム, DEIM2024論文集, Feb. 2024.
• 永田 玄, 常 穹, 宮崎 純. 3Dモデルを利用したユーザーの求めるアング ル画像の検索システムの開発, 第16回データ工学と情報マネジメントに関するフォーラム, DEIM2024論文集, Feb. 2024.
• 中野 雅史, 常 穹, 宮崎 純. メインメモリに拡張したGPU並列プリミティブを用いたSQL/Row Pattern Recognition処理, WebDB夏のワークショップ2023, 情報処理学会研究報告データベースシステム（DBS）, Vol. 2023-DBS-177, No. 23, pp. 1-6, Sept. 2023.
• 中野 雅史, 三浦 真矢, 常 穹, 宮崎 純. GPU用データ並列プリミティブの大規模データへの拡張, 第15回データ工学と情報マネジメントに関するフォーラム(DEIM2023), DEIM2023論文集, Mar. 2023.
• 徐 銘蔓, 常 穹, 宮崎 純. タグプロファイルに対するユーザーフィードバックを用いた推薦システム, 第15回データ工学と情報マネジメントに関するフォーラム(DEIM2023), DEIM2023論文集, Mar. 2023.
• 野沢 充彦, 常 穹, 宮崎 純. 未知スコア関数で評価される多次元データを対象とする計量学習を用いたTop-k検索アルゴリズム, 第15回データ工学と情報マネジメントに関するフォーラム(DEIM2023), DEIM2023論文集, Mar. 2023.
• 寺倉 慶, 常 穹, 宮崎 純. エッジデバイス上でのメタデータ生成に向けた組込み用GPUを用いたニューラルネットワークの推論の高速化, 第15回データ工学と情報マネジメントに関するフォーラム(DEIM2023), DEIM2023論文集, Mar. 2023.
• 伊藤翔, 前田涼吾, 常穹, 宮崎純. 大規模データに対する信頼区間を保証した近似集約演算の高速化手法の提案, 第14回データ工学と情報マネジメントに関するフォーラム(DEIM2022), 第14回データ工学と情報マネジメントに関するフォーラム論文集, Feb. 2022.
• 池田達樹, 常穹, 宮崎純. 未知スコア関数で評価される多次元データを対象とするLSHを用いたTop-k検索アルゴリズム, 第14回データ工学と情報マネジメントに関するフォーラム(DEIM2022), 第14回データ工学と情報マネジメントに関するフォーラム論文集, Feb. 2022.
• 三浦真矢, 常穹, 宮崎純. GPUメモリサイズより大きなデータを対象としたデータ並列プリミティブの開発, 第14回データ工学と情報マネジメントに関するフォーラム(DEIM2022), 第14回データ工学と情報マネジメントに関するフォーラム論文集, Feb. 2022.
• 吉田拓人, 常 穹, 宮崎 純. 時間依存グラフに対するマテリアライズドビューの効率的な差分更新手法の提案, 第12回ソーシャルコンピューティングシンポジウム(SoC2021), 信学技報, 電子情報通信学会, vol. IEICE-121, no. 125, pp. 52-57, July 2021.
• Aolong Zha, Qiong Chang, Itsuki Noda. An Incremental MaxSAT Approach for Solving the Realtime Taxi-Sharing Service Problem, 人工知能基本問題研究会(SIG-FPAI), SIG-FPAI, Vol. B5, No. 03, Page 44-49, Mar. 2019.
• Qiong Chang, Masaki Onishi. A Real-Time Stereo Vision System on Embedded GPU, GPU Technology Conference Japan, Sept. 2018.

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