Zobrazeno 1 - 10
of 9 279
pro vyhledávání: '"Feng Xue"'
Autor:
Yang, Liu, Paischer, Fabian, Hassani, Kaveh, Li, Jiacheng, Shao, Shuai, Li, Zhang Gabriel, He, Yun, Feng, Xue, Noorshams, Nima, Park, Sem, Long, Bo, Nowak, Robert D, Gao, Xiaoli, Eghbalzadeh, Hamid
Sequential dense retrieval models utilize advanced sequence learning techniques to compute item and user representations, which are then used to rank relevant items for a user through inner product computation between the user and all item representa
Externí odkaz:
http://arxiv.org/abs/2411.18814
Autor:
Huang, Yizhe, Wang, Xingbo, Liu, Hao, Kong, Fanqi, Qin, Aoyang, Tang, Min, Wang, Xiaoxi, Zhu, Song-Chun, Bi, Mingjie, Qi, Siyuan, Feng, Xue
Traditional interactive environments limit agents' intelligence growth with fixed tasks. Recently, single-agent environments address this by generating new tasks based on agent actions, enhancing task diversity. We consider the decision-making proble
Externí odkaz:
http://arxiv.org/abs/2411.03865
Autor:
He, Yun, Chen, Xuxing, Xu, Jiayi, Cai, Renqin, You, Yiling, Cao, Jennifer, Huang, Minhui, Yang, Liu, Liu, Yiqun, Liu, Xiaoyi, Jin, Rong, Park, Sem, Long, Bo, Feng, Xue
In industrial recommendation systems, multi-task learning (learning multiple tasks simultaneously on a single model) is a predominant approach to save training/serving resources and improve recommendation performance via knowledge transfer between th
Externí odkaz:
http://arxiv.org/abs/2411.11871
Autor:
Yang, Ziyue, Li, Chen, Ran, Yuqia, Li, Yongzhuo, Feng, Xue, Cui, Kaiyu, Liu, Fang, Sun, Hao, Zhang, Wei, Ye, Yu, Qiao, Fei, Ning, Cun-Zheng, Wang, Jiaxing, Chang-Hasnain, Connie J., Huang, Yidong
Photonic linear operation is a promising approach to handle the extensive vector multiplications in artificial intelligence techniques due to the natural bosonic parallelism and high-speed information transmission of photonics. Although it is believe
Externí odkaz:
http://arxiv.org/abs/2410.23659
The solar coronal magnetic field is a pivotal element in the study of eruptive phenomena, and understanding its dynamic evolution has long been a focal point in solar physics. Numerical models, driven directly by observation data, serve as indispensa
Externí odkaz:
http://arxiv.org/abs/2410.09433
Real-world multi-agent scenarios often involve mixed motives, demanding altruistic agents capable of self-protection against potential exploitation. However, existing approaches often struggle to achieve both objectives. In this paper, based on that
Externí odkaz:
http://arxiv.org/abs/2410.07863
Anderson Acceleration (AA) has been widely used to solve nonlinear fixed-point problems due to its rapid convergence. This work focuses on a variant of AA in which multiple Picard iterations are performed between each AA step, referred to as the Alte
Externí odkaz:
http://arxiv.org/abs/2407.10472
Scanning Electron Microscopes (SEM) with low energy electron sources (accelerating voltage of less than 1000V) have important application requirements in many application scenarios. Tunneling junction can potentially achieve low-voltage and planar-ty
Externí odkaz:
http://arxiv.org/abs/2406.15807
Despite the recent successes of multi-agent reinforcement learning (MARL) algorithms, efficiently adapting to co-players in mixed-motive environments remains a significant challenge. One feasible approach is to hierarchically model co-players' behavi
Externí odkaz:
http://arxiv.org/abs/2406.08002
Autor:
Ouyang, Jiayi, Liu, Shengping, Yang, Ziyue, Wang, Wei, Feng, Xue, Li, Yongzhuo, Huang, Yidong
In this article, we proposed a programmable 16-channel photonic solver for quadratic unconstrained binary optimization (QUBO) problems. The solver is based on a hybrid optoelectronic scheme including a photonic chip and the corresponding electronic d
Externí odkaz:
http://arxiv.org/abs/2407.04713