Inventor

HU HAN

CN22 patents

⚠️ This page may combine multiple inventors who share the name “HU HAN”. Patents are grouped by organization below to help distinguish them — per-person disambiguation is on the roadmap.

HU HAN

MICROSOFT TECHNOLOGY LICENSING LLC

Three-dimensional object detection

AI-based aesthetical image modification

Method and system of content retrieval for visual data

Scalable knowledge distillation techniques for machine learning

SUN YING

Systems and methods of using phase change material in power plants

Systems and methods of using phase change material in power plants

BINHUI BIOPHARMACEUTICAL CO LTD

Bispecific single-chain antibody, recombinant oncolytic virus for expressing same and virus composition

Virus composition

HU HAN

Method and system for motion planning for an autonmous vehicle

Sealing cover with a quick-plug interface

UNIV TSINGHUA

Video stabilizing method and system using dual-camera system

TINECO INTELLIGENT TECH CO LTD

Charging station for cleaning machine

Baidu online network technology beijing co ltd

Character detection method and apparatus

SUTENG INNOVATION TECH CO LTD

Lidar ranging method, device, computer apparatus and storage medium

UNIV YANSHAN

Filter with passive-rotation filter flements

UNIV BEIJING

Video transmission quality evaluation and optimization method and system based on user behavior

INSTITUTE OF APICULTURAL RES CHINESE ACADEMY OF AGRICULTURAL SCIENCES

Match-paired monoclonal antibodies against MRJP4, ELISA kit and colloidal gold immunoassay test strip for detecting MRJP4

UNIV SOUTH CHINA TECH

Hybrid filter on chip with integrated passive device (IPD) and film bulk acoustic resonator (FBAR)

UNIV CHINA PETROLEUM EAST CHINA

On-line detection system for defects of membrane electrode assembly

SHENZHEN SYD NETWORK TECH CO LTD

Bidirectional portable energy storage power supply without adapter

NORTH CHINA INST SCIENCE & TECH

Rescue robot and method for searching trapped persons for firefighting

UNIV ARKANSAS

Detecting or predicting system faults in cooling systems in a non-intrusive manner using deep learning