Zobrazeno 1 - 10
of 14 573
pro vyhledávání: '"An, Haichao"'
Autor:
Zhu, Kai, Guo, Chenkai, Yan, Kuihao, Jia, Xiaoqi, Du, Haichao, Huang, Qingjia, Xie, Yamin, Tang, Jing
Analyzing programs with loops is a challenging task, suffering from potential issues such as indeterminate number of iterations and exponential growth of control flow complexity. Loop summarization, as a static analysis method for concrete semantic i
Externí odkaz:
http://arxiv.org/abs/2411.02863
Reward specification is one of the most tricky problems in Reinforcement Learning, which usually requires tedious hand engineering in practice. One promising approach to tackle this challenge is to adopt existing expert video demonstrations for polic
Externí odkaz:
http://arxiv.org/abs/2410.21795
Autor:
Arbore, Russel, Routh, Xavier, Noor, Abdul Rafae, Kothari, Akash, Yang, Haichao, Xu, Weihong, Pinge, Sumukh, Zhou, Minxuan, Adve, Vikram, Rosing, Tajana
Hyperdimensional Computing (HDC), a technique inspired by cognitive models of computation, has garnered significant interest in recent years. For example, HDC has been proposed as a more efficient and robust alternative basis for machine learning. Th
Externí odkaz:
http://arxiv.org/abs/2410.15179
This note presents a novel Bayesian attitude estimator with the matrix Fisher distribution on the special orthogonal group, which can smoothly accommodate both unit and non-unit vector measurements. The posterior attitude distribution is proven to be
Externí odkaz:
http://arxiv.org/abs/2410.11566
To address the intricate challenges of decentralized cooperative scheduling and motion planning in Autonomous Mobility-on-Demand (AMoD) systems, this paper introduces LMMCoDrive, a novel cooperative driving framework that leverages a Large Multimodal
Externí odkaz:
http://arxiv.org/abs/2409.11981
Autor:
Yang, Haichao, Song, Chang Eun, Xu, Weihong, Khaleghi, Behnam, Mallappa, Uday, Shah, Monil, Fan, Keming, Kang, Mingu, Rosing, Tajana
This paper introduces FSL-HDnn, an energy-efficient accelerator that implements the end-to-end pipeline of feature extraction, classification, and on-chip few-shot learning (FSL) through gradient-free learning techniques in a 40 nm CMOS process. At i
Externí odkaz:
http://arxiv.org/abs/2409.10918
Autor:
Zhu, Haichao
With the advancement of computer vision, dynamic 3D reconstruction techniques have seen significant progress and found applications in various fields. However, these techniques generate large amounts of 3D data sequences, necessitating efficient stor
Externí odkaz:
http://arxiv.org/abs/2409.05151
Autor:
Huang, Xuan, Miao, Haichao, Kim, Hyojin, Townsend, Andrew, Champley, Kyle, Tringe, Joseph, Pascucci, Valerio, Bremer, Peer-Timo
Advanced manufacturing creates increasingly complex objects with material compositions that are often difficult to characterize by a single modality. Our collaborating domain scientists are going beyond traditional methods by employing both X-ray and
Externí odkaz:
http://arxiv.org/abs/2408.11957
Autor:
Li, Chihao, Song, Yuanhe, Wang, Xiaoxiao, Lei, Minyinan, Chen, Xiaoyang, Xu, Haichao, Peng, Rui, Feng, Donglai
Publikováno v:
Nano Lett. 24, 27, 8303-8310 (2024)
The discovery of interface-enhanced superconductivity in single-layer FeSe/oxides has generated intensive research interests. Beyond the family of FeSe interfaced with various TiO$_2$ terminated oxides, high pairing temperature up to 80~K has been re
Externí odkaz:
http://arxiv.org/abs/2407.11586
Autor:
Guo, Nan, Chen, Xiaoyang, Yu, Tianlun, Fan, Yu, Zhang, Qinghua, Lei, Minyinan, Xu, Xiaofeng, Zhu, Xuetao, Guo, Jiandong, Gu, Lin, Xu, Haichao, Peng, Rui, Feng, Donglai
Monolayer FeSe/TiO$_x$ and FeSe/FeO$_x$ interfaces exhibit significant superconductivity enhancement compared to bulk FeSe, with interfacial electron-phonon coupling (EPC) playing a crucial role. However, the reduced dimensionality in monolayer FeSe,
Externí odkaz:
http://arxiv.org/abs/2407.09880