no code implementations • 16 Nov 2023 • Wei zhang, Dai Li, Chen Liang, Fang Zhou, Zhongke Zhang, Xuewei Wang, Ru Li, Yi Zhou, Yaning Huang, Dong Liang, Kai Wang, Zhangyuan Wang, Zhengxing Chen, Fenggang Wu, Minghai Chen, Huayu Li, Yunnan Wu, Zhan Shu, Mindi Yuan, Sri Reddy
To address these challenges, we present Scaling User Modeling (SUM), a framework widely deployed in Meta's ads ranking system, designed to facilitate efficient and scalable sharing of online user representation across hundreds of ads models.
no code implementations • 30 Oct 2023 • Matin Macktoobian, Zhan Shu, Qing Zhao
Then, we develop a two-pathway data-driven model based on Bayesian Gaussian mixture models that predicts the solution to a typical problem by two different pre-fault and post-fault prediction pathways.
1 code implementation • 13 Sep 2023 • Jiayang Song, Zhehua Zhou, Jiawei Liu, Chunrong Fang, Zhan Shu, Lei Ma
Then, the performance of the reward function is assessed, and the results are presented back to the LLM for guiding its self-refinement process.
1 code implementation • 26 Aug 2023 • Zhehua Zhou, Jiayang Song, Kunpeng Yao, Zhan Shu, Lei Ma
Motivated by the substantial achievements observed in Large Language Models (LLMs) in the field of natural language processing, recent research has commenced investigations into the application of LLMs for complex, long-horizon sequential task planning challenges in robotics.
no code implementations • 22 Mar 2023 • Xin Gong, Jintao Peng, Dong Yang, Zhan Shu, TingWen Huang, Yukang Cui
Consequently, the resilient control task against CAs can be divided into two parts: One is distributed estimation against DoS attacks on the TL and the other is resilient decentralized tracking control against actuation attacks on the CPL.
no code implementations • 30 Jan 2022 • Matin Macktoobian, Zhan Shu, Qing Zhao
This model is an stacked ensemble whose output is the topology prediction for a particular robot.
no code implementations • 13 May 2021 • Arash Mohammadhasani, Hamed Mehrivash, Alan Lynch, Zhan Shu
In this paper, we develop a safe decision-making method for self-driving cars in a multi-lane, single-agent setting.
no code implementations • 5 May 2021 • Shimin Wang, Zhan Shu, Tongwen Chen
For an autonomous linear time-invariant (LTI) system, a distributed observer with time-triggered periodic observations and event-triggered communication is proposed to estimate the state of the system.
no code implementations • 26 Feb 2021 • Jeyamohan Neera, Xiaomin Chen, Nauman Aslam, Kezhi Wang, Zhan Shu
At the SP, The MoG model estimates the noise added to perturbed ratings and the MF algorithm predicts missing ratings.
no code implementations • 20 Aug 2020 • Jing Lai, Junlin Xiong, Zhan Shu
This paper investigates the optimal control problem for a class of discrete-time stochastic systems subject to additive and multiplicative noises.