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Koji Lab
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A lab that studies topics such as machine learning by combining physics and chemistry with informatics.

AboutAbout the lab
Combining physics and chemistry with informatics.
The Koji Lab integrates skills from physics, chemistry, and informatics to pursue interesting, challenging research that no one has done yet.
By combining knowledge of quantum mechanics, theoretical chemistry, high-performance computing, and informatics, the lab takes on what it truly wants to do, even when it is difficult.
Because machine learning and image processing are popular fields studied around the world, the lab conducts research that connects physics and chemistry with informatics.
Rather than simple model fitting, the lab aims to learn phenomena more deeply based on correct theory.
Key terms
- Diffusion model
- A machine learning model that has drawn attention in recent years as image-generating AI.
- Transformer
- A model widely used in natural language processing and image fields. Its core is a mechanism called softmax attention.
- Recommender system
- A system that displays "recommended for you" items in online shops.
ResearchResearch themes
This lab pursues research that combines physics and chemistry with informatics. The research themes page lists machine learning studies that recent students have worked on, including image recognition, generation of motion and 3D objects, and recommender systems.
*Illustrative imageApplying Attention Mechanisms Based on Statistical Mechanics
The softmax attention at the core of the Transformer has computational cost and memory usage that grow quadratically with sequence length. In computer vision, the lab aims to build Transformer models that achieve both computational efficiency and representational performance.
*Illustrative imagePhysics-Informed Motion Generation
The lab generates character motion that can be visualized on a physics engine. It examined whether imposing constraints on each joint in accordance with physical laws during training, and focusing on the periodicity of human body movement, are effective for realistic generation.
*Illustrative image3D Generation with Stochastic Differential Equations
Diffusion models based on stochastic differential equations produce excellent results for images, where there is abundant training data. Their effectiveness for 3D objects, where training data is scarce, is unknown, and the lab explores the capabilities and characteristics of this method.
*Illustrative imageRecommender Systems with Diffusion Models
The lab aims to build recommender systems using diffusion models, which have drawn attention as image-generating AI. Assuming that reviews contain noise because reviewers have different value standards, the lab is developing a recommender system that explicitly captures that noise.
MembersFaculty
The Koji Lab's members consist of faculty members, master's and undergraduate students, and undergraduate research students.As of 2026
- Associate ProfessorKoji Koji
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Control building computer room (cb computer room dec2004)” ESO / CC BY 4.0 (cropped)
- Applying Attention Mechanisms Based on Statistical Mechanics: “Self driving car camera in Bhubaneshwar, India” Sourish Paul Shyamnagar India / CC0 (cropped)
- Physics-Informed Motion Generation: “Cartoon Brown Bear Animation Cartoon Sprite 3D Animation” Kurt Kaiser / CC0 (cropped)
- 3D Generation with Stochastic Differential Equations: “Ouster OS1-64 lidar point cloud of intersection of Folsom and Dore St, San Francisco” Daniel L. Lu / CC BY 4.0 (cropped)
- Recommender Systems with Diffusion Models: “Shopping online with bank card” Bogdan Hoyaux / European Commission / CC BY 4.0 (cropped)
- Related lab (Uchiyama Lab): “Bubbles in water ( )” Thomas Tolkien from Yorkshire, UK / CC BY 2.0 (cropped)
- Related lab (Tsukamoto Lab): “Round bottom flask” GOKLuLe / CC BY-SA 3.0 (cropped)
- Related lab (Nagamine Lab): “Satellite image of Czech Republic in September 2003” 作者不詳 / Public domain (cropped)
- Related lab (Higashi Lab): “Vanillin-3D-molecular-model-engraved-render-CAS-121-33-5” MolGod Scientific / CC BY-SA 4.0 (cropped)
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