Tsinghua University

Systems employing various sensing modalities, including X-ray, fiber optics, ground-penetrating radar, and image analysis, for detecting threats, monitoring perimeters, and inspecting objects in security or transportation contexts.

Systems that employ imaging and image processing to automatically detect defects, verify states, or ensure quality control in manufactured goods, printed materials, or industrial processes.

Integration of power converters with energy storage devices (batteries, supercapacitors) or grid interfaces, often involving AC/DC conversion, power flow management, and fault handling for hybrid power systems or specific applications like EVs or PV.

Methods and compositions for identifying, quantifying, or characterizing specific biological molecules (e.g., nucleic acids, proteins, metabolites, antibodies) or microbial species, often for diagnostic, prognostic, or quality control applications.

Novel hardware designs and processing pipelines tailored for specific computational tasks, such as graphics rendering, neural network operations, or matrix transformations, often involving custom circuits, memory arrays, or data flow mechanisms.

Hardware and control techniques for optimizing memory access latency, ensuring data integrity, and managing storage resources efficiently. This includes error correction, read/write voltage control, and intelligent data placement or in-memory computation.

Methods and apparatus for improving the visual fidelity, resolution, or compression efficiency of video signals, often through advanced processing, up-scaling, or neural network-based filters.

Methods and apparatus for detecting objects and determining their three-dimensional position and orientation (pose) using imagery or point cloud data, often for navigation, surveying, or environmental understanding.

Methods and systems for improving the quality of video streams, generating intermediate frames, or continuously locating and following objects within a sequence of images, even under occlusion.

Techniques for combining data from disparate sensor types (e.g., cameras, radar, mobile device signals) to achieve a more robust and comprehensive understanding of an environment or subject, often leveraging machine learning for interpretation and correlation.

Therapeutic strategies employing nucleic acids (DNA, RNA, oligonucleotides) to modulate gene expression, deliver genetic material, or interfere with disease-causing pathways. Includes gene therapy using viral vectors.

Development and optimization of novel neural network layers or architectures specifically designed to improve performance or efficiency for computer vision tasks.

Technologies for efficiently delivering power to electric vehicles, encompassing fast charging, wireless charging, and smart grid integration, alongside vehicle-side control and management of the charging process.

Developing and applying machine learning algorithms that leverage quantum computing principles, such as quantum circuits or autoencoders, for tasks like simulation or data processing.

Specialized hardware, architectural designs, and computational methods to improve the speed, efficiency, and security of artificial intelligence and machine learning model execution, particularly for inference and data processing.

Development of therapeutic approaches involving the genetic modification of cells (e.g., T cells, stem cells, macrophages) or the use of viral/non-viral vectors to deliver genetic material for disease treatment.

Design and modification of antibodies or antibody-derived fragments for targeted therapeutic intervention, including bispecific formats, Fc region modifications, and activatable constructs.

Systems and methods that use imaging technologies, computer vision, and augmented reality to provide real-time guidance, localization, and visualization during surgical procedures or for detailed anatomical assessment.

Systems and methods for transferring electrical energy without physical contact, often utilizing inductive or resonant coupling, including antenna design, resonance tracking, and control mechanisms for efficient power delivery.

Processes and apparatus for disassembling spent batteries and recovering valuable materials (e.g., metals, electrolytes, plastics) through mechanical, chemical, or electrochemical methods for reuse or sustainable disposal.

Methods and systems for accurately determining the absolute or relative position of an object or device, often integrating satellite navigation (GNSS), inertial measurement units (IMU), and local ranging or wireless communication technologies.

Techniques utilizing deep learning models like Generative Adversarial Networks (GANs) or diffusion models to create new images, modify existing ones, or generate synthetic data based on various inputs or conditions.

Active anode materials and manufacturing techniques for rechargeable lithium-ion batteries, including silicon-carbon composites, graphite, lithium-metal anodes, and electrode coating processes that improve capacity, cycle life, and rate capability.

Design and synthesis of acyclic or carbocyclic organic compounds that selectively modulate specific biological targets or pathways for the treatment of diseases.

Techniques for combining and analyzing information from multiple distinct data modalities (e.g., text, image, video, audio, sensor data) to derive richer insights or improve system performance and decision-making.

Slurry compositions and coating processes for battery electrodes, including binder/active-material slurries, surface coating layers, and electrode-to-foil adhesion for cathode and anode.

Software, algorithms, and associated hardware for monitoring, controlling, and optimizing battery performance, safety, and lifespan, including charge/discharge cycles, thermal regulation, and system integration.

Innovations in the physical components and architectures of radar, lidar, and sonar systems, including antenna design, RF signal generation, beam steering mechanisms, and optical elements for improved performance.

Design and control of power supply architectures that combine multiple power sources (e.g., AC grid, DC battery, generators) or modular battery units, often featuring switching, conversion, and redundancy for enhanced reliability and flexibility.

Process and equipment for producing solid-state battery cells, including solid electrolyte synthesis (sulfide/oxide/polymer), thin-film deposition, lamination, sintering, dry-electrode fabrication, and stacking under controlled atmosphere.

Design and application of devices that are inserted into the body or implanted to treat diseases, modulate physiological functions, or repair anatomical structures.

Focuses on the mechanical design, articulation, and actuation of hand-held or robotic surgical instruments, including improvements in stapling, cutting, grasping, and tissue manipulation.

Techniques and hardware for autonomous systems to gather and interpret data about their surroundings, including obstacle detection, object recognition, and depth estimation, to inform control decisions.

Use of magnetostatic or vector magnetometers and associated processing for detecting objects, mapping magnetic fields, or determining position and orientation in various applications.

Techniques for generating human-like text or other content using large pre-trained models, often involving prompt engineering, speculative decoding, or multi-modal inputs for content creation.

Focuses on the structural integrity, housing, mounting, and physical integration of battery cells into robust and protected packs within electric vehicles, including manufacturing considerations.

Delivery systems specifically engineered to administer advanced drug formulations (e.g., microparticles, biologics, extended-release systems) to achieve precise targeting, controlled release kinetics, or enhanced therapeutic efficacy within the body.

Systems that incorporate solar panels as a primary or auxiliary power source for various applications, including visual displays, remote devices, and portable battery charging, often emphasizing efficiency and adaptability.

Processes for creating or manipulating three-dimensional digital representations of objects or environments, including mesh generation, surface fitting, and depth estimation from multiple views.

Automated systems using image processing and artificial intelligence to identify, classify, and assess the extent of damage to structures or objects, supporting maintenance or insurance claims.

Methods for training machine learning models across multiple decentralized devices or servers while keeping data localized, often involving aggregation of model parameters and secure communication.

Utilizing machine learning, particularly deep learning, to analyze medical data such as images, sensor readings, or physiological signals for disease prediction, diagnosis, or treatment assessment.

Focuses on the design of medical equipment for ease of use, mobility, and adaptability in various clinical or home environments, including carts, mounting systems, and compact form factors.

Systems that use user data, preferences, and machine learning to generate tailored advice, product recommendations, goal-setting plans, or contextual information for individuals across different domains.