Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Zhang, Xiaohan"'
Multi-object rearrangement is a crucial skill for service robots, and commonsense reasoning is frequently needed in this process. However, achieving commonsense arrangements requires knowledge about objects, which is hard to transfer to robots. Large
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::305c8b60742cd738bdb726704aaa58a1
Nowadays the app-in-app paradigm is becoming increasingly popular, and sub-apps have become an important form of mobile applications. WeChat, the leading app-in-app platform, provides millions of sub-apps that can be used for online shopping, financi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d493441c4a5bc1d567afd4f1734aeae0
A novel human emotion recognition method based on automatically selected Galvanic Skin Response (GSR) signal features and SVM is proposed in this paper. GSR signals were acquired by e-Health Sensor Platform V2.0. Then, the data is de-noised by wavele
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e32d1324555b1d7b4dbeed61b8760254
Autor:
Liu, Bo, Jiang, Yuqian, Zhang, Xiaohan, Liu, Qiang, Zhang, Shiqi, Biswas, Joydeep, Stone, Peter
Large language models (LLMs) have demonstrated remarkable zero-shot generalization abilities: state-of-the-art chatbots can provide plausible answers to many common questions that arise in daily life. However, so far, LLMs cannot reliably solve long-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd7aa66b040cef6858da534fd8cb7fd9
Decentralized optimization is effective to save communication in large-scale machine learning. Although numerous algorithms have been proposed with theoretical guarantees and empirical successes, the performance limits in decentralized optimization,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::510f8630edfd2e96641c2d0974eace08
In this paper, we focus on a new and challenging decentralized machine learning paradigm in which there are continuous inflows of data to be addressed and the data are stored in multiple repositories. We initiate the study of data decentralized class
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c11c1f1ef1c0dcfbf13540155681fc8
Task and motion planning (TAMP) algorithms aim to help robots achieve task-level goals, while maintaining motion-level feasibility. This paper focuses on TAMP domains that involve robot behaviors that take extended periods of time (e.g., long-distanc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79b34aac884ccd42427eaf0162c06812
The concept of geo-localization refers to the process of determining where on earth some `entity' is located, typically using Global Positioning System (GPS) coordinates. The entity of interest may be an image, sequence of images, a video, satellite
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4dba6e76f256d40cf3c366bd991a139f
Autor:
Zhang, Xiaohan
We develop a deep learning model to effectively solve high-dimensional nonlinear parabolic partial differential equations (PDE). We follow Feynman-Kac formula to reformulate PDE into the equivalent stochastic control problem governed by a Backward St
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65dcc6d138b4e67aeeaab15b32fb25db