大北研究室へようこそ/Welcome to Okita Lab!

• 九州工業大学/Kyushu Institute of Technology
  • 准教授/Associate Professor
    • 大学院情報工学研究院 知能情報工学研究系
    • Department of Artificial Intelligence, Graduate School of Computer Science and Systems Engineering

Topic of Interests

• LLM/generative AI 大規模言語モデル/生成モデル, Deep Learning Algorithm Development [深層学習のアルゴリズム開発]
  • LLMs/Transformer [LLMs/トランスフォーマー]: 可変長の入力を可変長の出力に変換する形の機械学習が2014年に深層学習で生み出され、この形の機械学習はその後、非常に大きく発展しました. 機械翻訳, 質問応答, ニューラル会話, 画像キャプションづけ, 言葉に基づいた画像生成などのNLPに関係する分野のみならず, ビジョンではトランスフォーマーをベースに, 画像認識, 物体検知, パノプティックセグメンテーション, 画像言語ナビゲーション, マルチモダル学習など多岐に影響を及ぼしました. (表現学習) ここでエンコードしたものを表現と呼び, 深層学習での学習の中心となります.
  • Generative AI Models(diffusion model, GAN) [生成モデル(敵対的生成ネットワーク/GAN, 拡散モデル)]: 同時期(2014年頃)に, (動)画像、自然言語、信号などさまざまな生成を行える学習器を開発されました. これは, 白黒画像のカラー化, 2D画像の3D化(動きからの構造: シェイプ再構築、テクスチャ再構築), 超解像度, 動画フレーム補完など多岐に渡る影響を及ぼしました。
  • (機械学習的な方向)自己教師あり学習, 因果関係に関係する学習, 物理に関係する学習(NODE(ニューラルODE), ハミルトニアンNNなど)などにも興味をもっています.
  • LLMなどの大規模化のためには、量子化/並列化などが必要となります. また, インストラクションチューニングにより, 後続タスク側の興味も考慮します.
• 関心のある応用事例 Interested Application Areas
  • LLM/generative AI 大規模言語モデル/生成モデル
  • 自然言語 NLP
  • 画像/ビデオ (Medical) Image, Video
  • 1次元信号: スマホセンサに基づく学習(行動認識, 行動ローカリゼーション) Action Recognition/Localisation
  • グリーンエネルギー green energy/Li ion battery
  • カッティングエッジな深層学習応用事例は常に興味をもっています. 最近、物理シミュレーションが進展しています. 言語関係の興味は引き続いておりますが, フォーカスを集中したいと思っております。
• 「深層学習のアルゴリズム開発」と「関心のある応用事例」をセットで考えてください. たとえば、トランスフォーマーで医療画像を研究する、ビジョントランスフォーマーで行動認識をする, GANでマンガを研究する, などです.

大北研究室での研究内容

• 深層学習(特に, 敵対的生成ネットワークとトランスフォーマー. 量子機械学習も)のアルゴリズム開発に関心をもっております。学習の基本構造に興味をもっている人、深層学習を勉強したい人を募集しています。
• 深層学習は, 医療画像, ビデオ, スマホセンサなどのメディア関係を直接扱いますので、同時に適用する分野を扱います。たとえば、トランスフォーマーは自然言語を対象にすることが可能です。また、ビジョンのトランスフォーマーであれば、映像を扱うかもしれません。

大北研究室を志望する人へ (For those who want to study at Okita lab)

• For those who have interest in Okita lab (Master/Doctoral studies), send me your CV, score sheets, TOEIC/TOEFL score, Bachelor's thesis (Your original language is ok), papers, recommendation letters, etc.
  • We only seek those who have experienced in Machine Learning/Deep Learning.
  • Write me in English! (We won't read Japanese emails) We need English proficiency in the school life! (We won't use Japanese).
  • If you do not have the TOEIC/TOEFL score, try to take the test as soon as possible (and don't send me an email without it).
  • After completing the master course, we will give priority to those who wish to proceed to the doctoral course.

Publication

• 2025
  • Haruki Kai, Tsuyoshi Okita, Self-supervised learning method using Transformer for multi-dimensional sensor data processing, the International Journal of Activity and Behavior Computing (J-Stage), 24 pages, 2025.
  • Kunpeng Zhao,Tsuyoshi Okita,Asahi Miyazaki,Detecting Informative Channels or Samples: ActionFormer, the International Journal of Activity and Behavior Computing (J-Stage), 31 pages, 2025.
  • Masaharu Kagiyama, Tsuyoshi Okita, Distillation for Energy-Efficient Networks for Human Activity Recognition, The 7th International Conference on Activity and Behavior Computing, 2025.
  • Asahi Miyazaki, Tengjiu Huang, Tsuyoshi Okita, Asahi Nishikawa, Acquisition of Unlabeled Dataset for Human Activity Recognition, IPSJ UBI研究会,8 pages, 2025.
  • 松石康希, 浮田嵩祐, 大北剛, AURA-MFM: 詳細な行動理解のためのCLIPを用いたマルチモーダル基盤モデルの構築, IPSJ UBI研究会,8 pages, 2025.
  • 鍵山雅治, 大北剛, エネルギー効率の良いセンサモデルのための蒸留, DEIM2025,2025.
  • 松石康希, 大北剛, 自己教師あり学習に基づく事前学習モデルを用いたマルチインスタンス学習による脳血種マーカーの分類, DEIM2025, 2025. (松石康希---学生プレゼンテーション賞)
• 2024
  • Kosuke Ukita, Tsuyoshi Okita, Analysis of Human Activity Recognition by Diffusion Models, In Companion of the 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2024.
  • Lin Wang, Mathias Ciliberto, Hristijan Gjoreski, Paula Lago, Kazuya Murao, Tsuyoshi Okita and Daniel Roggen. Summary of SHL Challenge 2024: Motion Sensor-based Locomotion and Transportation Mode Recognition in Missing Data Scenarios, In Companion of the 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2024.
  • Kazuya Murao,Yu Enokibori,Hristijan Gjoreski,Paula Lago,Tsuyoshi Okita,Pekka Siirtola,Kei Hiroi,Philipp M. Scholl,Mathias Ciliberto,Kenta Urano, Marius Bock. 12th International Workshop on Human Activity Sensing Corpus and Applications (HASCA). In Companion of the 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2024.
  • 平田航大, 大北剛, SwinTransformerとSwinUnetのマルチタスク学習を用いた画像認識, 火の国情報シンポジウム2024, 8ページ, 2024.
  • 浮田嵩祐, Ye Xiaolong, 大北剛, 表現条件付き潜在拡散モデルと表現学習, 火の国情報シンポジウム2024, 8ページ, 2024. (浮田嵩祐---奨励賞)
  • (口頭発表) Kunpeng Zhao, Tsuyoshi Okita, Enhancing Activity Recognition in Signal Data Using ACEM withTransformers, 九工大・マレーシアプトラ大学国際合同シンポジウム(SAES2024), abstract, 2024.
  • (口頭発表) Gao Huayu, Tsuyoshi Okita, Human Motions Connection Based on Diffusion Models, 九工大・マレーシアプトラ大学国際合同シンポジウム(SAES2024), abstract, 2024.
  • (口頭発表) Koki Matsuishi, Tsuyoshi Okita, Multi-instance Learning with Self-supervised Learning, 九工大・マレーシアプトラ大学国際合同シンポジウム(SAES2024), abstract, 2024.
  • (口頭発表) Kosuke Ukita,Tsuyoshi Okita, Improving Human Activity Recognition through Diffusion Models, 九工大・マレーシアプトラ大学国際合同シンポジウム(SAES2024), abstract, 2024.
  • (口頭発表) Nozaki Daisuke, Tsuyoshi Okita, Enhancing LLM Translation Evaluation through Multiple References, 九工大・マレーシアプトラ大学国際合同シンポジウム(SAES2024), abstract, 2024.
  • (口頭発表) Xiaolong Ye, Tsuyoshi Okita, Codebook Collapse Problem in VQ-Diffusion Model, 九工大・マレーシアプトラ大学国際合同シンポジウム(SAES2024), abstract, 2024.
  • (口頭発表) Tengjiu Huang, Tsuyoshi Okita, Acquisition of Smart Phone Sensor Data, 九工大・マレーシアプトラ大学国際合同シンポジウム(SAES2024), abstract, 2024.
  • (口頭発表) Mizuki Kawazu, Tsuyoshi Okita, Extension of frame interpolation method using machine learning to multi-frame input, 九工大・マレーシアプトラ大学国際合同シンポジウム(SAES2024), abstract, 2024.
  • (口頭発表) Asahi Miyazaki, Kosuke Ukita, Tsuyoshi Okita, Ensemble Learning of Models for Human Activity Recognition, 九工大・マレーシアプトラ大学国際合同シンポジウム(SAES2024), abstract, 2024.
  • (口頭発表) Masaharu Kagiyama, Tsuyoshi Okita, Distillation for Energy-Efficient Reservoir Model, 九工大・マレーシアプトラ大学国際合同シンポジウム(SAES2024), abstract, 2024.
  • (口頭発表) Yuki Odo, Kazuki Okahashi, Bryan Ng Yaw Huei, Haruki Kai, Asahi Nishikawa and Tsuyoshi Okita, Human Activity Recognition using Ensemble Learning, 九工大・マレーシアプトラ大学国際合同シンポジウム(SAES2024), abstract, 2024.
  • (口頭発表) Hirata Kodai, Okita Tsuyoshi, Multi-task Learning with Swin Transformer for Brain Hematoma Marker Recognition, 九工大・マレーシアプトラ大学国際合同シンポジウム(SAES2024), abstract, 2024.
  • (口頭発表) Haruki Kai, Tsuyoshi Okita, Exploring the Adaptability of Language Models to 1D Signal Data, 九工大・マレーシアプトラ大学国際合同シンポジウム(SAES2024), abstract, 2024.
• 2023
  • Tsuyoshi Okita, Kosuke Ukita, Koki Matsuishi, Masaharu Kagiyama, Kodai Hirata, Asahi Miyazaki, Towards LLMs for Sensor Data: Multi-Task Self-Supervised Learning, In Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023.
  • Lin Wang, Hristijan Gjoreski, Mathias Ciliberto, Paula Lago, Kazuya Murao, Tsuyoshi Okita and Daniel Roggen. Summary of SHL Challenge 2023: Recognizing Locomotion and Transportation Mode from GPS and Motion Sensors, In UbiComp/ISWC 2023 Adjunct - Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2023 ACM International Symposium on Wearable Computers, 2023.
  • Kazuya Murao,Yu Enokibori,Hristijan Gjoreski,Paula Lago,Tsuyoshi Okita,Pekka Siirtola,Kei Hiroi,Philipp M. Scholl,Mathias Ciliberto,Kenta Urano. 11th International Workshop on Human Activity Sensing Corpus and Applications (HASCA). UbiComp/ISWC 2023 Adjunct - Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2023 ACM International Symposium on Wearable Computers, 2023.
  • Md Azizul Hoque, Mohd Khair Hassan, Adbulraman Hajjo, Tsuyoshi Okita, Characteristics of Li-Ion Battery at Accelerated C-Rate with Deep Learning Method, Arabian Journal for Science and Engineering (Springer), pp.1-11, 2023.
• 2022
  • 加藤 舜斗, 有村 公一, 飯原 弘二, 大北 剛. 脳血腫マーカーのローカルな画像パッチの深層学習を用いたマルチインスタンス学習, 第13回日本医療情報学会「医用人工知能研究会」人工知能学会「医用人工知能研究会」(SIG-AIMED)合同研究会,SIG-AIMED-013-05, (8 pages), 2022.
  • 中島崇晴,大北　剛,人物実写画を特定の漫画の画風に沿うように変換し画像を出力する技術のサーベイ, 第47回IBISML研究会, pp.13-18,2022.
  • 河津水紀, 大北　剛, 2Dアニメーションのフレーム補間に関するサーベイ, 第47回IBISML研究会, pp.19-24, 2022.
  • 豊坂 祐樹, 大北 剛、ハミルトニアンニューラルネットワークの人間行動認識への応用、pp. 899 - 905, DICOMOシンポジウム, pp.899-905, 2022.
  • 大野 友暉, 大北 剛、動きからの構造: 2D画像からの3Dテクスチャの再構築、DICOMOシンポジウム, pp. 1124 - 1128,, 2022.
  • 加藤 舜斗, 河津 水紀, 中島 崇晴, 有村 公一, 飯原 弘二, 大北 剛、 脳血腫マーカーの画像パッチのマルチラベル学習, DICOMOシンポジウム, pp. 1605 - 1609, 2022.
  • Keita Nonaka, Kazutaka Yamanouchi, Tomohiro I, Tsuyoshi Okita, Kazutaka Shimada, Hiroshi Sakamoto, A Compression-Based Multiple Subword Segmentation for Neural Machine Translation, Electronics 2022, 11(7), 1014, 2022.
  • 大北剛,中山俊太朗,山本周平,森山幹太,平野北斗,有村公一,飯原弘二,脳血腫の急成長の予測,第12回AIM 合同研究会, 2022.
  • Kazuya Murao,Yu Enokibori,Hristijan Gjoreski,Paula Lago,Tsuyoshi Okita,Pekka Siirtola,Kei Hiroi,Philipp M. Scholl,Mathias Ciliberto,Kenta Urano. 10th International Workshop on Human Activity Sensing Corpus and Applications (HASCA). UbiComp/ISWC 2022 Adjunct - Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers, 2022.
• 2021
  • Lin Wang, Hristijan Gjoreski, Mathias Ciliberto, Paula Lago, Kazuya Murao, Tsuyoshi Okita and Daniel Roggen. Three-year Review of the 2018-2020 SHL Challenge on Transportation and Locomotion Mode Recognition from Mobile Sensors, Frontier, 2021 (Outstanding Article Award --- 2021 Editor's Pick: Computer Science).
  • Kazuya Murao,Yu Enokibori,Hristijan Gjoreski,Paula Lago,Tsuyoshi Okita,Pekka Siirtola,Kei Hiroi,Philipp M. Scholl,Mathias Ciliberto,Kenta Urano. 9th International Workshop on Human Activity Sensing Corpus and Applications (HASCA). UbiComp/ISWC 2021 Adjunct - Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers, 2021.
  • Yuki Toyosaka, Tsuyoshi Okita. Activity Knowledge Graph Recognition by Eye Gaze: Identification of Distant Object in Eye Sight for Watch Activity. UbiComp/ISWC 2021 Adjunct - Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers, 2021.
  • Tsuyoshi Okita. Activity Simulation from Signals. UbiComp/ISWC 2021 Adjunct - Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers, 2021.
  • Lin Wang, Mathias Ciliberto, Hristijan Gjoreski, Paula Lago, Kazuya Murao, Tsuyoshi Okita, Daniel Roggen. Locomotion and Transportation Mode Recognition from GPS and radio signals: Summary of SHL Challenge 2021. UbiComp/ISWC 2021 Adjunct - Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers, 2021.
  • Sayeda Shamma Alia, Kohei Adachi, Tahera Hossain, Nhat Tan Le, Haru Kaneko, Paula Lago, Tsuyoshi Okita,Sozo Inoue. Summary of the Third Nurse Care Activity Recognition Challenge - Can We Do from the Field Data? UbiComp/ISWC 2021 Adjunct - Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers, 2021.
  • Kohei Adachi, Paula Lago, Tsuyoshi Okita, Sozo Inoue. Improvement of Human Action Recognition Using 3D Pose Estimation. Activity and Behavior Computing, Springer. pp. 21-37. 2021.
  • 豊坂祐樹，大北剛. 距離画像推定情報を用いた複数人の行動認識. 第72回UBI研究会. 2021.
  • 大北剛，平野北斗，森山幹太,有村公一，飯原弘二, 弱教師ありセマンティックセグメンテーション, 第23回日本知能情報ファジィ学会九州支部学術講演会(ソフト九州), 2021.
  • 大北剛, 管谷克彦, 坂本比呂志, JPEGの画像表現を用いた画像生成の高速化, IBIS 2021, 2021.
  • 大北剛, 平野北斗, 森山幹太, 有村公一, 飯原弘二, 脳血腫マーカーの分類: 認識、物体検知、敵対的生成法、セマンティックセグメンテーション, 第11回AIM合同研究会, 2021.
  • 豊坂祐樹, 大北剛, 非接触性の人と物体における相互作用検出方法の提案, DICOMOシンポジウム, pp.304-309, 2021.
  • 平野北斗, 大北剛, 脳血腫の分類: セグメンテーションと分類のジョイント学習, arxiv, 2103.17172, 5 pages, 2021.
  • NeurIPS2020における深層学習の研究動向, AIトレンドトップカンファレンス報告会(人工知能学会), March, 2021.
• 2020
  • 平野北斗, 竹本和広, 大北剛, グローバルな情報を加味するセマンティックセグメンテーションとラベルの重複を許す分類のジョイント学習, 第23回情報理論的学習理論ワークショップ(IBIS2020), 11/26, 2020.
  • Yuki Toyosaka, Tsuyoshi Okita. Perception of Interaction between Hand and Object. Proceedings of the 2020 ACM International Joint Conference and 2020 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers Adjunct, 2020.
  • Sayeda Shamma Alia, Paula Lago, Kohei Adachi, Tahera Hossain, Hiroki Goto, Tsuyoshi Okita and Sozo Inoue, “Summary of the 2nd Nurse Care Activity Recognition Challenge Using Lab and Field Data”, Proceedings of the 2020 ACM International Joint Conference and 2020 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers Adjunct, 2020.
  • L. Wang, H. Gjoreski, M. Ciliberto, P. Lago, K. Murao, T. Okita, and D. Roggen. “Summary of the Sussex-Huawei locomotion-transportation recognition challenge 2020”, Proceedings of the 2020 ACM International Joint Conference and 2020 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers Adjunct, 2020.
  • Kazuya Murao, Yu Enokibori, Hristijan Gjoreski, Paula Lago, Tsuyoshi Okita, Pekka Siirtola, Kei Hiroi, Philipp M Scholl, Mathias Ciliberto. 8th international workshop on human activity sensing corpus and applications (HASCA). Proceedings of the 2020 ACM International Joint Conference and 2020 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers Adjunct, 2020.
  • 豊坂祐樹, 大北剛. 手と物体の相互作用の認識とその知識グラフの生成. pp. 361 - 367. DICOMOシンポジウム. 2020.
  • 長村 徹, 徳永 旭将, 大北 剛. U-netを用いた異常検知による肺炎の検知. pp. 526 - 533. DICOMOシンポジウム. 2020.
  • 高山なつき, Mario Koppen, 大北剛. アマゾン商品レビューの感情分析と評価スコアの相関性の検証. 高山, 火の国シンポジウム, 8 pages, 2020.
  • 板橋将之, 本田あおい, 大北剛. SHAP値や重要度を用いたモデル解釈性: 包除積分ネットワークとXGBoostの比較. 火の国シンポジウム, 8 pages, 2020.
  • 大北 剛. The 33rd Conference on Neural Information Processing Systems (NeurIPS 2019). 人工知能. Vol.35 No.3, 2020.
• 2019
  • Tsuyoshi Okita, Hirotaka Hachiya, Sozo Inoue, Naonori Ueda, Translation of Signals: Wave2wave, DS poster, 2019. (ACML Workshop, 2019).
  • Md. Shafiqul Islam, Tsuyoshi Okita, Sozo Inoue, "Evaluation of Transfer Learning for Human Activity Recognition among Different Datasets", International Conference on Pervasive Intelligence and Computing (2019) (IEEE PICom 2019), pp. 6 pages, 2019.
  • Paula Lago, Sayeda Shamma Alia, Shingo Takeda, Tittaya Mairittha, Nattaya Mairittha, Farina Faiz, Yusuke Nishimura, Kohei Adachi, Tsuyoshi Okita, Francois Charpillet , Sozo Inoue, "Nurse Care Activity Recognition Challenge: Summary and Results", Ubicomp Workshop on Human Activity Sensing Corpus and Applications (HASCA), pp. 6 pages, 2019-09-10, London.
  • Shingo Takeda, Paula Lago, Tsuyoshi Okita, Sozo Inoue, "Reduction of Marker-Body Matching Work in Activity Recognition Using Motion Capture", International Workshop on Human Activity Sensing Corpus and Applications, pp. ７ pages, 2019-09-10, London.
  • Shingo Takeda, Paula Lago, Tsuyoshi Okita, Sozo Inoue, Yoshinori Ideno, "モーションキャプチャを用いた行動認識におけるマーカー身体対応付け作業の削減", マルチメディア，分散，協調とモバイル(DICOMO2019)シンポジウム, pp. 7 pages, 2019-07-03, Fukushima.
  • Hiroki Goto, Shingo Takeda, Paula Lago, Tsuyoshi Okita, Sozo Inoue, "センサ行動認識における機械学習のための実験室高精度データと現場長時間データの比較", マルチメディア，分散，協調とモバイル(DICOMO2019)シンポジウム, pp. 4 pages, 2019-07-03, Fukushima.
  • Lin Wang, Hristijan Gjoreski, Mathias Ciliberto, Paula Lago, Kazuya Murao, Tsuyoshi Okita, Daniel Roggen. Summary of the Sussex-Huawei locomotion-transportation recognition challenge 2019, Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 849-856, 2019.
  • Kazuya Murao, Yu Enokibori, Hristijan Gjoreski, Paula Lago, Tsuyoshi Okita, Pekka Siirtola, Kei Hiroi, Philipp M Scholl, Mathias Ciliberto. 7th international workshop on human activity sensing corpus and applications (HASCA), Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 671-673, 2019.
  • Paula Lago, Shingo Takeda, Tsuyoshi Okita, Sozo Inoue. MEASURed: Evaluating Sensor-Based Activity Recognition Scenarios, Human Activity Sensing: Corpus and Applications, 135-150. Springer Nature. 2019.
  • 安達康平,大北剛,井上創造, ビデオからの3次元姿勢推定と機械学習を用いた行動認識の試み, ソフト九州, 2019.
  • 豊坂祐樹,福田亮治,大北剛,宮野英次. 混合正規分布のデータセットにおけるAntlion clusteringと既存のクラスタリング手法との比較, ソフト九州, 2019.
  • 大北剛. 不変リスク最小化の考察, ソフト九州, 2019.
  • 本田あおい, 大北剛. メビウス型包除積分ニューラルネットワークによるデータ解析, 実解析学シンポジウム, 2019.
  • Tsuyoshi Okita, Spatio-temporal Model for Intracerebral Hemorrhage: Embedding Methods Solving Violating Assumptions on ML, LMRL workshop, 2019.
  • Tsuyoshi Okita, 欠損値問題や不均衡データを埋め込みとして用いた時空間機械学習モデル, IBIS2019, 2019. (abstract)
  • (準備中: 大北剛, データサイエンス入門, 2019).
• 2018
  • 二宮仁志, Tittaya Mairittha, 大北剛, 井上創造, 医療相談のための対話システムにおける要求分析, ソフト九州, 2018.
  • 福島康太, 大北剛, 井上創造, 種々の敵対的生成ネットワークに対するGeometry Scoreによる評価, ソフト九州, 2018.
  • 武田 紳吾, Paula Lago, 大北剛, 井上創造, センサ行動認識のための機械学習を用いた加速度データシミュレーション,ソフト九州, 2018.
  • Tsuyoshi Okita, Hirotaka Hachiya, Sozo Inoue, Naonori Ueda, Cross Modal Translation of Signals and Its Application to Activity Recognition, The First Japan-Israel Machine Learning Workshop, Tel Aviv, 2018.
  • K Murao, Y Enokibori, H Gjoreski, P Lago, T Okita, P Siirtola, K Hiroi, 6th International Workshop on Human Activity Sensing Corpus and Applications (HASCA). Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers Adjunct, 2018.
  • P Lago, S Takeda, T Okita, S Inoue. Improving Sensor-based Activity Recognition Using Motion Capture as Additional Information, Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers Adjunct, 2018.
  • S Takeda, P Lago, T Okita, S Inoue, A Multi-Sensor Setting Activity Recognition Simulation Tool, Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers Adjunct, 2018.
  • T Mairittha, T Okita, S Inoue, Pre-Consulting Dialogue Systems for Telemedicine: Yes/No Intent Classification, Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers Adjunct, 2018.
  • T Okita, S Inoue, Activity Recognition: Translation across Sensor Modalities Using Deep Learning, Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers Adjunct, pp.1462-1471, 2018.
  • L Wang, H Gjoreski, K Murao, T Okita, D Roggen, Summary of the Sussex-Huawei Locomotion-Transportation Recognition Challenge, Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers Adjunct, pp.1462-1471, 2018.
  • Tsuyoshi Okita and Sozo Inoue, Language Grounded Planning for Dialogue Systems, poster, GTC Conference, Tokyo, 2018.
  • Tsuyoshi Okita and Sozo Inoue, Language Grounded Activity Recognition and Planning, Second International Workshop on Symbolic-Neural Learning (SNL-2018), (non-archival poster presentation), 2018.
  • (Preparation：準備中)(大北 剛, 井上創造, 船越公太, 丸岡大輔、迎伸孝、有村公一、野原康伸、中島直樹、飯原弘二. 深層学習による血腫の分類.)
  • Tittaya Mairittha, Tsuyoshi Okita, Sozo Inoue. Dialogue Breakdown Detection with Long Short Term Memory. Mobicase Poster. 2018.
• 2017
  • Tsuyoshi Okita and Sozo Inoue, Deep learning on sensor-based activity recognition, poster, NVIDIA GTC Japan 2017 conference.
  • Tittaya Mairittha, Tsuyoshi Okita, Sozo Inoue. Dialogue Breakdown Detection with Long Short Term Memory. ソフト九州. 2017.
  • 二宮 仁志，松木 萌，大北 剛，井上 創造. 共起単語スコアによる医師国家試験の解答に向けて. ソフト九州. 2017.
  • Tsuyoshi Okita, Takanori Yamashita, Yasunobu Nohara, Sozo Inoue, Sachio Hirokawa, Naoki Nakashima. 深層学習を用いた特徴抽出によるカルテ情報からのフェノタイプの同定. AIMED研究会. 11月, 横浜, 2017.
  • Tsuyoshi Okita, Sozo Inoue. センサ行動認識におけるモデル選択, 情報処理学会第56回ユビキタスコンピューティング研究会研究報告, 7 pages, 11月, 兵庫県, 2017.
  • Valentin Deyringer, Alexander Fraser, Helmut Schmid, Tsuyoshi Okita, Parallelization of Neural Network Training for NLP with Hogwild!, The Prague Bulletin of Mathematical Linguistics, 2017.
  • Tsuyoshi Okita, Sozo Inoue. シークエンス推定における説明変数の重要度の計算, 情報処理学会自然言語処理研究会研究報告, 5 pages, July, Tokyo.
  • Tsuyoshi Okita, Sozo Inoue. Recognition of Multiple Overlapping Activities Using Compositional CNN-LSTM Model. Ubicomp poster, Sep, 2017.
  • Tsuyoshi Okita, Sozo Inoue. 複雑なセンサ情報理解におけるディープラーニング, DICOMO2017 シンポジウム, 6 pages.
  • Tsuyoshi Okita, Sozo Inoue. 深層ディシジョンフォレストによる疎密混合データの解析, 情報処理学会自然言語処理研究会研究報告, 4pages, Osaka.
• 2016
  • (Not published: Tsuyoshi Okita, Alex Fraser, Helmut Schmid, Improving Neural Machine Translation for Automatic Post-Editing.)
• 2015
  • Tsuyoshi Okita, Longyue Wang, Qun Liu. The DCU Discourse Parser: A Sense Classification Task. CoNLL Shared Task (Collocated with ACL), July, 2015. pdf
  • Longyue Wang, Chris Hokamp, Tsuyoshi Okita, Xiaojun Zhang, Qun Liu. The DCU Discourse Parser for Connective, Argument Identification and Explicit Sense Classification. CoNLL Shared Task (Collocated with ACL), July, 2015. pdf
• 2014
  • Tsuyoshi Okita, Qun Liu. The NLP system of DCUMT in NTCIR-11 MedNLP-2: RNN for ICD/Time Entity Recognition and ICD Classification Tasks. NTCIR-11, Tokyo, Dec, 2014. pdf
  • Tsuyoshi Okita, Ali Hosseinzadeh Vahid, Andy Way, Qun Liu. The DCU Terminology Translation System for the Medical Query Subtask at WMT14, Workshop on Statistical Machine Translation, 2014. pdf
  • Xiaofeng Wu, Rejwanul Haque, Tsuyoshi Okita, Piyush Arora, Andy Way, Qun Liu. DCU-Lingo24 Participation in WMT 2014 Hindi-English Translation Task. Workshop on Statistical Machine Translation, 2014. pdf
  • Santiago Cortes, Piyush Arora, Chris Hokamp, Federico Fancellu, Alex Killen, Lamia Tounsi, Antonio Toral, Ankit Srivastava, Maria Alecu, Iacer Calixto, Sheila Castilho, Keith Curtis, Federico Gaspari, Akira Hayakawa, Teresa Lynn, Peyman Passban, Eziz Tursun, Ali Hosseinzadeh Vahid, Xiaofeng Wu, Xiaojun Zhang, Debasis Ganguly, Louise Irwin, Anna Kostekidou, Liangyou Li, Tsuyoshi Okita, Ximo Planells, David Racca, Joris Vreeke, Jian Zhang, Andy Way, Will Lewis, Declan Groves, Federico Garcea, and Chris Wendt. 2014. Brazilator: Machine Translation and Sentiment Analysis for World Cup 2014. In Proceedings of the Association for Machine Translation in the Americas (AMTA 2014) Technology Showcase, Vancouver, Canada, pp. 4--5.
• 2013
  • Tsuyoshi Okita, Josef van Genabith. Selection-Based Language Model for Domain Adaptation using Topic Modeling. Workshop on Topic Models (collocated with NIPS 2013), 2013.pdf
  • Tsuyoshi Okita. Active Learning-based Local Graph Matching for Textual Entailment. SNLP, Thailand, 2013.pdf
  • Tsuyoshi Okita, Qun Liu, Josef van Genabith. Shallow Semantically-Informed PBSMT and HPBSMT. Workshop on Statistical Machine Translation (WMT13, collocated with ACL 2013), 2013. (Our system was the third in ES-EN and the second in EN-ES). pdf
  • Tsuyoshi Okita . Data analytics of semantic space of relations and its deep learning perspectives. (Poster). ASSIA Summer School on Information Retrieval, Japan, 2013.
  • Tsuyoshi Okita. Local Graph Matching with Active Learning for Recognizing Inference in Text at NTCIR-10, 2013. (Our system was the best system in binary classification task.).pdf
  • Tsuyoshi Okita. Joint Space Neural Probabilistic Language Model for Statistical Machine Translation, 2013. (Technical Report at arXiv:1301.3614).pdf

• 2012
  • (Eds) Josef van Genabith, Toni Badia, Christian Federmann, Maite Melero, Marta R. Costa-Jussa, and Tsuyoshi Okita. Proceedings of ML4HMT-12 (Applying Machine Learning Techniques to Optimise the Division of Labour in Hybrid Machine Translation), Mumbai, 2012.
  • Christian Federmann, Tsuyoshi Okita, Maite Melero, Marta R. Costa-Jussa, Toni Badia and Josef van Genabith. Results from the ML4HMT-12 Shared Task on Applying Machine Learning Techniques to Optimise the Division of Labour in Hybrid Machine Translation. ML4HMT Workshop (Collocated with COLING 2012), Mumbai, 2012. pdf
  • Xiaofeng Wu, Tsuyoshi Okita, Josef van Genabith, and Qun Liu. System Combination with Extra Alignment Information. ML4HMT Workshop (Collocated with COLING 2012), Mumbai, 2012. pdf
  • Tsuyoshi Okita and Raphael Rubino and Josef van Genabith. Sentence-level Quality Estimation for MT System Combination. ML4HMT Workshop (Collocated with COLING 2012), Mumbai, 2012. pdf
  • Tsuyoshi Okita and Antonio Toral and Josef van Genabith. Topic Modeling-based Domain Adaptation for System Combination. ML4HMT Workshop (Collocated with COLING 2012), Mumbai, 2012. pdf
  • Tsuyoshi Okita. Neural Probabilistic Language Model for System Combination. ML4HMT Workshop (Collocated with COLING 2012), Mumbai, 2012. pdf
  • (Eds)Tsuyoshi Okita, Artem Sokolov, Taro Watanabe. Proceedings of MONOMT-2012 Workshop (Monolingual Machine Translation 2012), (collocated with AMTA 2012), San Diego, US, 2012.
  • Tsuyoshi Okita. Annotated Corpora for Word Alignment between Japanese and English and its Evaluation with MAP-based Word Aligner. In Proceedings of the eighth international conference on Language Resources and Evaluation (LREC 2012), Istanbul, 2012. pdf
  • Tsuyoshi Okita and Josef van Genabith. Minimum Bayes Risk Decoding with Enlarged Hypothesis Space in System Combination. 13th International Conference on Intelligent Text Processing and Computational Linguistics (CICLING 2012), New Delhi, India, 2012. LNCS 7182 Part II, A. Gelbukh (Ed.), pp. 40-51. pdf
  • Tsuyoshi Okita and Josef van Genabith. Salient Feature-based Adapation in Translation Memory and Machine Translation Integration.(no proceedings). The 22nd Meeting of Computational Linguistics in The Netherlands, the Netherlands, 2012. abstract
• 2011
  • Tsuyoshi Okita and Josef van Genabith. MAP Inference with Multiple Models for Statistical Machine Translation. Japanese Society for Artificial Intelligence. SIG FPAI meeting, Tokyo, 2011.
  • Tsuyoshi Okita. Meaning Representations in Statistical Word Alignment. Poster. Learning Semantics Workshop (collocated with NIPS 2011), Spain, 2011. pdf
  • Tsuyoshi Okita and Josef van Genabith. DCU Confusion Network-based System Combination for ML4HMT. Shared Task on Applying Machine Learning techniques to optimising the division of labour in Hybrid MT (ML4HMT-2011, collocated with LIHMT-2011), Barcelona, 2011. pdf
  • Tsuyoshi Okita. Word Alignment and Smoothing Method in Statistical Machine Translation: Noise, Prior Knowledge and Overfitting. PhD thesis. Dublin City University. pdf
  • Tsuyoshi Okita and Andy Way. Pitman-Yor Process-based Language Model. International Journal of Asian Language Processing (IJALP), 21(2), pp.57-70, 2011. pdf
  • Tsuyoshi Okita and Andy Way. Given Bilingual Terminology in Statistical Machine Translation: MWE-sensitve Word Alignment and Hierarchical Pitman-Yor Process-based Translation Model Smoothing. In Proceedings of the 24th International Florida Artificial Intelligence Research Society Conference (FLAIRS-24). Palm Beach, Florida. pp.269-274. pdf
  • Tsuyoshi Okita, Alexandru Ceausu, and Andy Way. Statistical Machine Translation with Factored Translation Model: MWEs, Separation of Affixes, and Others. Poster presentation. In Proceeding of the 24th Florida Artificial Intelligence Research Society Conference (FLAIRS-24). Palm Beach, Florida. pp. 353-354. pdf
  • Tsuyoshi Okita and Andy Way. MWE-sensitive Word Aligner in Factored Translation Model. Machine Translation and Morphologically-rich Languages: Research Workshop of the Israel Science Foundation, Israel, Jan, 2011. pp.16-17. pdf slide
• 2010
  • Tsuyoshi Okita and Andy Way. Statistical Machine Translation with Terminology. The First Symposium on Patent Information Processing (SPIP), Tokyo, Japan, Dec, 2010. pp. 41-47. pdf
  • Tsuyoshi Okita and Andy Way. Hierarchical Pitman-Yor Language Model in Machine Translation. In Proceedings of the International Conference on Asian Language Processing (IALP 2010), Harbin, China, December, 2010. pp.245-248. pdf
  • Tsuyoshi Okita and Andy Way. Statistical Significance Test in Machine Translation. Poster presentation. Workshop on Validation in Statistics and Machine Learning, Berlin, 2010. pdf
  • Tsuyoshi Okita, Yvette Graham, and Andy Way. Gap Between Theory and Practice: Noise Sensitive Word Alignment in Machine Translation. In Journal of Machine Learning Research Workshop and Conference Proceedings Volume 11: Workshop on Applications of Pattern Analysis (WAPA2010). pp.119-126. Cumberland Lodge, England. pdf
  • Tsuyoshi Okita, Alfredo Maldonado Guerra, Yvette Graham, and Andy Way. Multi-Word Expression-Sensitive Word Alignment. In Proceedings of the Fourth International Workshop On Cross Lingual Information Access (CLIA2010, collocated with COLING2010), Beijing, China. pp.26-34. pdf
  • Tsuyoshi Okita, Jie Jiang, Rejwanul Haque, Hala Al-Maghout, Jinhua Du, Sudip Kumar Naskar and Andy Way. MaTrEx: the DCU MT System for NTCIR-8, In Proceedings of the NII Test Collection for IR Systems-8 Meeting (NTCIR-8), Tokyo. pp.377-383. pdf slide
• 2009
  • Yanjun Ma, Tsuyoshi Okita, Ozlem Cetinoglu, Jinhua Du, Andy Way. Low-Resource Machine Translation Using MaTrEx: The DCU Machine Translation System for IWSLT 2009. International Workshop on Spoken Language Translation (IWSLT 2009), Tokyo, 2009. pp.29-36. pdf slide
  • Tsuyoshi Okita, Sudip Naskar, Andy Way. Noise Reduction Experiments in Machine Translation, project exhibition poster, Slovenia, ECML-PKDD 2009. pdf
  • Tsuyoshi Okita. Data Cleaning for Word Alignment, Joint conference of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing Student Research Workshop (ACL-IJCNLP 2009 SRW), Singapore, 2009. pp.72-80. pdf
  • Tsuyoshi Okita. Preprocessing Methods for Word Alignment, The UK special-interest group for computational linguistics annual colloquium (CLUK 12), Dublin, 2009. pdf
• 2002-2008 (Japanese Translation of Books)
  • (Japanese Translated Edition). カーネル法によるパターン解析, translated by Tsuyoshi Okita, 624 pages, Kyoritsu Publisher. (Orig: Kernel Methods for Pattern Analysis, John Shawe-Taylor and Nello Cristianini, Cambridge University Press) link
  • (Japanese Translated Edition). コンピュータビジョン, translated by Tsuyoshi Okita, 826 pages, Kyoritsu Publisher. (Orig: Computer Vision, David A. Forsyth, Jean Ponce, Pearson International) link
  • (Japanese Translated Edition). サポートベクターマシン入門, translated by Tsuyoshi Okita, 268 pages, Kyoritsu Publisher. (Orig: Introduction to Support Vector Machines, Nello Cristianini and John Shawe-Taylor, Cambridge University Press). link
• 2002 (excerpts from my MSc thesis on Software Engineering)
  • Tsuyoshi Okita. Load Balance Protocol of Cluster on Grid: Pervasive Maximum Algorithmic Parallelism. International Conference on Principles of Distributed Systems (OPODIS 02). Reims, France, 2002. pdf
  • Tsuyoshi Okita. PRTccp: Priority-driven Real-Time Concurrent Constraint Programming. Nordic Workshop on Programming Theory (NWPT02). Estonia. 2002. pdf

招待講演

• 大北 剛, 生成AI, 明専会広島支部総会(招待講演), 2024.

Education

• Dublin City University, statistical machine translation, PhD. (supervisor: Prof. Andy Way, external examiner: Prof. Philipp Koehn, internal examiner: Prof. Josef van Genabith, chair: Dr. Cathal Gurrin)
• Free University of Brussels, European integration of politics and economics, MA.
• Free University of Brussels, computer science, MSc.
• 東京大学理学部情報科学科, 学士 (University of Tokyo, computer science, BSc)
• 大阪教育大学附属池田高校/中学校/小学校

Work Experiences

• Kyushu Institute of Technology. Mathematical Information Section, Department of Artificial Intelligence, Graduate School of Computer Science and Systems Engineering.(Prof. Eiji Miyano).
• Riken AIP, Disaster Resilience.(Prof. Naonori Ueda).
• Kyushu Institute of Technology. Department of Basic Sciences, Faculty of Engineering (Prof. Sozo Inoue).
• Ludwig-Maximilians-Universitat Munchen. Language and Linguistics Department. CIS (Center for Information and Language Processing). Dr. Alex Fraser (ERC grant)
• Nagoya University, Department of Electrical Engineering (3 months in the summer 2015) Prof. Takuya Matsuzaki at Sato-Matsuzaki Lab (SFI ISCA grant).
• Dublin City University (SFI CNGL II (Creation and Curation): Meaning representation learning and inference, SFI TIDA, SFI CNGL I (cost extension), FP7 T4ME (META), FP7 EuroMatrixPlus, SFI CNGL I (IL1: Machine Translation))
• Freelance translator/Software consultant (Belgium)
• Sony corporation (Tokyo and Belgium) (Concurrent Object-Oriented Operating Systems: Aperios (This OS is deployed to AIBO))

Teaching

• 2024-2025
  • 深層学習(Q1, 木曜2,3限, 学部3年)
  • 深層学習特論I(Q1, 火曜3限, 大学院)
  • 知能情報概論(Q1, 非同期, 大学院)
  • 情報理論(Q2, 月曜2限, 木曜2限, 学部3年)
  • 深層学習特論II(Q2, 火曜3,4限, 大学院)
  • 情報工学プロジェクト: 深層学習演習(後期, 月曜3ー5限, 学部3年)
  • LLM/生成AIのための深層学習(トランスフォーマー編)(2月後半〜3月):リカレント教育(株式会社ARISEより)
• 2023-2024
  • 深層学習(Q1, 水曜2,3限, 学部, 4年生も可)
  • 深層学習特論(Q2, 火曜2,4限, 大学院、学部も可)
  • 情報工学プロジェクト: 深層学習演習(後期, 月曜3ー5限, 学部)
• 2022-2023
  • 深層学習特論(Q1, 火曜3,4限)
  • Data Science I(English lecture) = データサイエンス演習I(Q2, 火曜3,4限)(内容は深層学習特論IIです)
  • データサイエンス演習II(Q2, 月曜2-5限)
  • データサイエンスプロ短期コース/深層学習特化型公開講座(3月)
• 2021-2022
  • 深層学習特論(Q1, 水曜2, 3限)
  • データサイエンス演習I(Q2, 火曜2, 3限)
  • データサイエンス演習II(Q3-4, 火曜2-3限)
  • 知能情報工学プロジェクト: 人工知能コース(Q3-Q4, 月曜3-5限)
  • データサイエンスプロ短期コース/深層学習特化型公開講座(2-3月)
• 2020-2021
  • 深層学習特論(Q1, 火曜2限と水曜2限)
  • データサイエンス演習I(Q1, 水曜3-4限)
  • データサイエンス演習II(Q2, 火曜2-5限)
  • 知能情報工学プロジェクト: 人工知能コース(Q3)
  • データサイエンスプロ短期コース/深層学習特化型公開講座(3月)
  • データサイエンスプロ短期コース/深層学習特化型公開講座(3月)
• 2019-2020
  • データサイエンス演習I
  • データサイエンス演習II
  • データサイエンスプロ短期コース/機械学習講座(17日x3コマ)

Professional Service

• 平成31年度-2023年,2024年-2028年: UBI運営委員(IPSJ SIGUBI ユビキタスコンピューティングシステム研究会), 2021年情報処理学会84全国大会運営委員, 2021年IBISワークショップ委員, 2023年DICOMOプログラム委員.
• Reviewer: Journal of Natural Language Engineering (CUP) (2012), ACM Transactions of Asian Language Information Processing (2012, 2013, 2017x2), AMTA 2014, Journal of Machine Learning Research (JMLR) (2016), ACM IMWUT(PACM on Interactive, Mobile, Wearable and Ubiquitous Technologies) (2017, 2018x2, 2019, 2020x2), NeurIPS workshop ML4PS (2019, 2020), IPSJ特集号(メタ査読, 2020), Neurocomputing (elsevier journal)(2020x2, 2021,2024). Pattern Recognition (elsevier journal)(2020x2), Frontier(2022).
• PC: ML4HMT-12 Workshop, NAACL-HLT (2015, 2016, 2018, 2019, 2021, 2022, 2023, 2024), EMNLP (2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024), WMT (2016, 2017, 2018, 2019, 2020,2021,2022,2023,2024), EACL (2017, 2021), MT Summit (2019), International Conference on Activity and Behavior Computing (2019, 2020), AAAI (2020, 2021), ACL (2020, 2021, 2022,2023,2024), EAMT (2020), ICIEV/IVPR (2019, 2020, 2021), RepL4NLP workshop (2020, 2021,2022), COLING (2020,2024), AACL-IJCNLP (2020), ECML-PKDD (2020,2021,2022,2023,2024,2025), AISTATS (2024), CHI (2025).
• Workshop co-chair: CLUK Colloquium 12, MONOMT-12 Workshop, ML4HMT-12 Workshop, Dublin Winter School on Deep Learning for Machine Translation, HASCA Workshop (2018, 2019, 2020, 2021, 2022, 2023,2024), SHL Challenge (2018, 2019, 2020, 2021,2023,2024), ABC (2019; publication chair, 2020), Nurse care activity recognition challenge.

学生

• 2025年度
  • 叶小龍(Ye Xiaolong) (M2)
  • 高華宇(Gao Huayu) (10月スタート)
  • 鍵山雅治
  • 浮田嵩祐
  • 平田航大
  • 松石康希
  • 宮崎朝陽
  • 野崎大輔
  • 山下 楽(M1)
  • 大堂優輝
  • 岡橋和希
  • 甲斐陽喜
  • 西川旭飛
  • 窪⽥⼤地(B4)
  • 鍵⼭尚輝
  • ⼤⽥重吉
  • 富⾼駿哉
  • 永安⼤智
• 2024年度
  • 高華宇(Gao Huayu)
  • 黄滕九(Huang TengJiu): Data Acquisition and Virtual Data Generation for Human Activity Recognition (修論2024)
  • 趙坤鵬(Zhao Kunpeng): Reexamining ActionFormer with Squeeze-and-Excitation Module and Swish Activation Function (修論2024)
  • 叶小龍(Ye Xiaolong)
  • 河津水紀: 深層学習を用いた動画の品質改善(修論2024)
  • 中島崇晴
  • 鍵山雅治
  • 浮田嵩祐
  • 平田航大
  • 松石康希
  • 宮崎朝陽
  • 野崎大輔
  • BRYAN NG Yaw huei: A Systematic Study of Input Format and Prompt Engineering’s Influence on Multimodal Model Hallucination(卒論2024)
  • 大堂優輝: LLM の安全性向上のためのインストラクションチューニング(卒論2024)
  • 岡橋和希: Linear Attention Transformer による事前学習および LLM の数学タスク強化への提案手法(卒論2024)
  • 甲斐陽喜: 言語モデルを基盤とした多次元センサデータの自己教師あり学習手法(卒論2024) --- 九州工業大学 情報工学部 知能情報工学科 発表優秀賞
  • 西川旭飛:自己教師あり学習による事前学習モデルを用いた人間行動認識(卒論2024)
• 2023年度
  • 高華宇(Gao Huayu)
  • 黄滕九(Huang TengJiu)
  • 趙坤鵬(Zhao Kunpeng)
  • 叶小龍(Ye Xiaolong)
  • 河津水紀
  • 中島崇晴
  • 鍵山雅治: MLP-Mixerを組み込んだViTモデルによる⾎腫画像に対する⾃⼰教師あり学習 (卒論2023)
  • 浮田嵩祐: 表現条件付き潜在拡散モデルの提案：脳CT画像の⾎腫分類 (卒論2023)---火の国シンポジウム奨励賞
  • 平田航大: SwinTransformerとSwinUnetのマルチタスク学習を⽤いた画像認識 (卒論2023)
  • 松石康希: ⾃⼰教師あり学習を組み合わせたマルチインスタンス学習による脳⾎腫画像の分類 (卒論2023) --- 九州工業大学 情報工学部 知能情報工学科 発表優秀賞
  • 宮崎朝陽: スパース性と階層性をもつマスク画像モデルを学習⽬的とする⾃⼰教師あり学習 (卒論2023)
  • 野崎大輔: LLMのインストラクションチューニング: LLMは翻訳タスクを訓練していないのに なぜ翻訳性能が良いのか？(卒論2023)
• 2022年度
  • 河津水紀: テスト時にリアルタイムビデオフレーム補間を実現する手法のマルチフレームの入力への拡張(卒論2022) --- 九州工業大学 情報工学部 知能情報工学科 発表優秀賞
  • 中島崇晴: 複雑な生成機構を持った敵対的生成ネットワーク(卒論2022)
  • 加藤舜斗: ローカルな画像パッチを用いた血腫画像に対するマルチインスタンス学習(卒論2022)
  • 大野友暉:　Structure from Motion: 理想の動きを可視化する3D人体モデル作成(卒論2022)
  • 趙坤鵬(Zhao Kunpeng)
  • 叶小龍(Ye Xiaolong)
• 2016年度
  • Valentin Deyringer: Parallelization of Neural Machine Translation (修論 2016) (LMU(Ludwig-Maximilians-Universität München), ミュンヘン大学 通称LMU) (co-supervision with Prof. Alex Fraser).
  • Tetsuhiro Tamada: Context-Dependent Neural Machine Translation (卒論 2016) (LMU(Ludwig-Maximilians-Universität München), ミュンヘン大学 通称LMU) (co-supervision with Prof. Alex Fraser).

それ以前の学生 (短期雇用を含む)

• 宋鎮遠
• Michinari Kodama
• Kyohei Hamasaki
• Yuki Matsuo
• Tomoki Nakashima
• Shuhei Yamamoto
• Shuntaro Nakayama
• Kanta Moriyama
• Hokuto Hirano
• Yoshiaki Kanzaki
• Kodai Takida
• Tittaya Mairittha
• Shingo Takeda

Workshop & Conference Organization

• 「大規模言語モデルのファインチューニング技術と評価」ワークショップ (NLP2025のワークショップとして開催予定. 長崎, 3月14日予定. このワークショップでは, チューニングコンペの結果発表を中心に開催する予定です. チューニングコンペの参加募集は近々行う予定です.よろしくお願いします)
• HASCA 2024 Workshop (UBICOMP workshop on Human Activity Sensing Corpus and Applications: Towards Open-Ended Context Awareness) Melbourne (Australia)
• HASCA 2023 Workshop (UBICOMP workshop on Human Activity Sensing Corpus and Applications: Towards Open-Ended Context Awareness) Cancun (Mexico)
• データサイエンスプロ(深層学習特化型)公開講座 2023 --- Virtual, Mar, 2023.
• HASCA 2022 Workshop (UBICOMP workshop on Human Activity Sensing Corpus and Applications: Towards Open-Ended Context Awareness) --- Virtual, 2022, planning.
• データサイエンスプロ(深層学習特化型)公開講座 2022 --- Virtual, Feb-Mar, 2022.
• HASCA 2021 Workshop (UBICOMP workshop on Human Activity Sensing Corpus and Applications: Towards Open-Ended Context Awareness) --- Virtual, 2021, planning.
• データサイエンスプロ(深層学習特化型)公開講座 2021 --- Virtual, Mar, 2021.
• HASCA 2020 Workshop (UBICOMP workshop on Human Activity Sensing Corpus and Applications: Towards Open-Ended Context Awareness) --- Cancun, 2020. (Virtual Conference. 299 participants!)
• HASCA 2019 Workshop (UBICOMP workshop on Human Activity Sensing Corpus and Applications: Towards Open-Ended Context Awareness) --- London, 2019.
• International Conference on Activity and Behavior Computing (ABC 2019) --- 26-29/Apr/2019.
• Sussex-Huawei Locomotion Challenge --- Summer 2018.
• HASCA 2018 Workshop (UBICOMP workshop on Human Activity Sensing Corpus and Applications: Towards Open-Ended Context Awareness) --- Singapore, 12/Oct/2018.
• Winter School on Deep Learning for Machine Translation. --- Dublin, 18-24/Oct/2015.
• AMTA workshop on Monolingual Machine Translation: --- San Diego, November 1, 2012
• COLING workshop ML4HMT: --- India, December 8-9, 2012

Membership

• JSAI/人工知能学会
• IPSJ/情報処理学会
• ACL
• ACM
• AMTA (and EAMT).

Address

• tsuyoshi.okita@gmail.com, tsuyoshi@ai.kyutech.ac.jp
• 〔飯塚キャンパス〕〒820-8502 福岡県飯塚市川津680-4 研究棟 S314号室, +81-948-29-7674 (7923から7674に変わりましたのでご注意を)
• 680-4 Kawazu, Iizuka-shi, Fukuoka, 820-8502, JAPAN
• 〔戸畑キャンパス〕〒804-8550 福岡県北九州市戸畑区仙水町1-1 総合研究1号棟S2-751号室, +81-93-884-3431
• 1-1 Sensui-cho, Tobata-ku, Kitakyushu-shi, Fukuoka, 804-8550, JAPAN

Links

• Sozo Lab

Other Resources

• ML4HMT dataset.
  • ES-EN. dataset page.
  • ZH-EN. LDC2012E126 ML4HMT-12 (COLING) Tuning Data, LDC2012E127 ML4HMT-12 (COLING) Test Data.
• Gridengine admin: Son of Gridengine.