Tsinghua University

Beijing Bytedance Network Technology Co., Ltd.

Boe Technology Group Co., Ltd.

Beijing Boe Display Technology Co., Ltd.

Yiming Chen

Lei Li

Mingxuan Wang

Yuzhang Du

Peihao Zhu

Chongxing Zhou

Xibin Shao

Hongjiang Wu

Huazhong Yang

Chongxi Wei

Yongpan Liu

Xueqing Li

Seungmoo Rim

Gao Huang

Le Yang

Shiji Song

Xiaoyang Ma

Haojun Jiang

Riley Gish

Han Cheng

Jordan Furlong

Amanda Hanna

Ciaran Farley

Tsz Ling Christina Leung

Jinyi Lu

Mufeng Zhou

Isha Mukesh Shah

Alan Yee

Yushen Fu

Wenrong Zhang

A computing system is provided, including one or more processors configured to provide a social media platform configured to serve a content feed to a user. The processor is further configured to generate user content interaction information by detecting user interactions with the content feed and provide a recommendation engine that selects content items for display in the content feed based on the generated user content interaction information. The processor is further configured to receive a refresh request to refresh the recommendation engine and refresh the recommendation engine at least in part by masking or resetting the user content interaction information upon receiving the refresh request. After the refresh, the processor is further configured to generate, via the recommendation engine, post-refresh content items based on the masked or reset user content interaction information, and transmit the post-refresh content items to the user device for display in the content feed.

Social media platform with recommendation engine refresh

A method for detecting image information includes: acquiring at least one sample of image pair to be processed; calculating a reconstruction loss function of the second feature extraction model based on the first image samples and the first reconstructed image feature information; calculating an adversarial loss function of the third feature extraction model based on the second reconstructed image feature information and the first image samples; optimizing the first model parameters in the first feature extraction model based on the reconstruction and the adversarial loss function to generate the optimized first feature extraction model; inputting the acquired image pair to be processed into the optimized first feature extraction model to generate the difference information. The method reduces the first feature extraction model's dependence on the labeled data and improves the model's recognition efficiency and accuracy by using the samples without the labeled difference information.

Image information detection method and apparatus and storage medium

A video translation method includes: converting speech in a video to be translated into text; displaying the text and first time information, second time information, and a reference translation of the text; in response to an operation by a user on the text or the reference translation, displaying an editing area supporting the user inputting a translation; following input by the user, providing a translation suggestion from the reference translation; when a confirmation operation by the user for the translation suggestion is detected, using the translation suggestion as a translation result and displaying the same; when a non-confirmation operation by the user for the translation suggestion is detected, receiving a translation inputted by the user which is different from the translation suggestion, using the inputted translation as a translation result and displaying the same, and updating the reference translation in a translation area according to the inputted translation.

Video translation method and apparatus, storage medium, and electronic device

A document translation method includes: displaying a source text display region, a translated text region, and an editing region, wherein textual content in a document to be translated is displayed in the source text display region, and reference translated text for the textual content is displayed in the translated text region; and providing a translated text recommendation from the reference translated text according to input from a user within the editing region. The method further includes: displaying the translation recommendation in the editing area as a translation result, if a confirmation operation for the translation recommendation is detected; and receiving a translation inputted by the user that is different from the translation recommendation and displaying the translation inputted by the user in the editing area as the translation result, if a non-confirmation operation for the translation recommendation is detected.

Document translation method and apparatus, storage medium, and electronic device

The present disclosure relates to a static random-access memory and an electronic device. The memory includes at least one storage circuit, wherein the storage circuit includes a first inverter, a second inverter, a first switch, a second switch, a third switch, a fourth switch, a fifth switch, a word-line, a first bit-line, a second bit-line, a shift-input line, and a shift-output line. The circuit is used to access data by using the first bit-line and/or the second bit-line when it works in a first mode, and the circuit is used to shift the input data to the shift-input line and output the shifted data through the shift-output line when it works in a second mode. By implementing shift-input and shift-output within the memory, the disclosed embodiment can achieve high-concurrency data access and data update, and it also enables high integration and low power consumption.

Static random-access memory and electronic device

A color filter and a manufacturing method thereof are provided, in which a stacked structure composed of several color film layers having different colors is formed in a non-transmitting partitioning region of the color filter in such a way that the stacked structure can prevent light from passing through the color filter via the partitioning region.

Color filter and manufacturing method thereof

Growing community of inventors

Beijing, China

Yiming Chen