no code implementations • 2 Mar 2024 • An Chen, Zhilong Wang, Karl Luigi Loza Vidaurre, Yanqiang Han, Simin Ye, Kehao Tao, Shiwei Wang, Jing Gao, Jinjin Li
We focus on the application of transfer learning methods for the discovery of advanced molecules/materials, particularly, the construction of transfer learning frameworks for different systems, and how transfer learning can enhance the performance of models.
no code implementations • 5 Dec 2023 • An Chen, Giorgio Ferrari, Shihao Zhu
In contrast, in the second scenario with a controlled bequest amount, regardless of $\gamma$ values, immediate life insurance purchase proves to be optimal.
no code implementations • 24 Sep 2023 • An Chen, Wenbo Xu, Liyang Lu, Yue Wang
Massive multiple-input multiple-output (MIMO) enjoys great advantage in 5G wireless communication systems owing to its spectrum and energy efficiency.
no code implementations • 10 Mar 2023 • Xiaopeng Jiang, Thinh On, NhatHai Phan, Hessamaldin Mohammadi, Vijaya Datta Mayyuri, An Chen, Ruoming Jin, Cristian Borcea
However, currently there is no mobile sensing DL system that simultaneously achieves good model accuracy while adapting to user mobility behavior, scales well as the number of users increases, and protects user data privacy.
no code implementations • 25 Feb 2023 • An Chen, Zhigang Ren, Muyi Wang, Hui Chen, Haoxi Leng, Shuai Liu
Convolutional neural networks (CNNs) have gained remarkable success in recent years.
no code implementations • 16 Feb 2023 • Malte J. Rasch, Charles Mackin, Manuel Le Gallo, An Chen, Andrea Fasoli, Frederic Odermatt, Ning li, S. R. Nandakumar, Pritish Narayanan, Hsinyu Tsai, Geoffrey W. Burr, Abu Sebastian, Vijay Narayanan
Analog in-memory computing (AIMC) -- a promising approach for energy-efficient acceleration of deep learning workloads -- computes matrix-vector multiplications (MVMs) but only approximately, due to nonidealities that often are non-deterministic or nonlinear.
no code implementations • 8 Dec 2022 • Nicole Bäuerle, An Chen
Partial information is characterized by the fact that the stock price itself is observable by the optimizing financial institution, but the outcome of the market price of the risk $\theta$ is unknown to the institution.
no code implementations • 31 Oct 2022 • An Chen, Wenbo Xu, Liyang Lu, Yue Wang
In frequency division duplex (FDD) massive MIMO systems, reliable downlink channel estimation is essential for the subsequent data transmission but is realized at the cost of massive pilot overhead due to hundreds of antennas at base station (BS).
no code implementations • 17 Nov 2021 • Xiaopeng Jiang, Han Hu, Vijaya Datta Mayyuri, An Chen, Devu M. Shila, Adriaan Larmuseau, Ruoming Jin, Cristian Borcea, NhatHai Phan
This article presents the design, implementation, and evaluation of FLSys, a mobile-cloud federated learning (FL) system, which can be a key component for an open ecosystem of FL models and apps.
no code implementations • 25 Jun 2021 • An Chen, Motonobu Kanagawa, Fangyuan Zhang
We study a fully funded, collective defined-contribution (DC) pension system with multiple overlapping generations.
no code implementations • 18 Apr 2021 • Frank Bosserhoff, An Chen, Nils Sorensen, Mitja Stadje
Demographic changes increase the necessity to base the pension system more and more on the second and the third pillar, namely the occupational and private pension plans; this paper deals with Target Date Funds (TDFs), which are a typical investment opportunity for occupational pension planners.
no code implementations • 1 Mar 2021 • Xiaodong Ren, Daofu Guo, Zhigang Ren, Yongsheng Liang, An Chen
By remarkably reducing real fitness evaluations, surrogate-assisted evolutionary algorithms (SAEAs), especially hierarchical SAEAs, have been shown to be effective in solving computationally expensive optimization problems.
no code implementations • 19 Jan 2021 • An Chen, Zhigang Ren, Muyi Wang, Yongsheng Liang, Hanqing Liu, Wenhao Du
SVG first designs a general-separability-oriented detection criterion according to whether the optimum of a variable changes with other variables.
no code implementations • 5 Apr 2020 • Zhigang Ren, Yongsheng Liang, Muyi Wang, Yang Yang, An Chen
Different from existing DC-based algorithms that perform decomposition and optimization in the original decision space, EDC first establishes an eigenspace by conducting singular value decomposition on a set of high-quality solutions selected from recent generations.
no code implementations • 28 Nov 2018 • Wenfu Wang, Weijie Yang, An Chen, Zhijie Pan
In order to manage the safety level of traffic system, we propose Driving Safety Credit inspired by credit score in financial security field, and design a scoring method using trajectory data and violation records.
no code implementations • 1 Mar 2018 • Bei Pang, Zhigang Ren, Yongsheng Liang, An Chen
As for the nonseparable sub-problems, the surrogate models are employed to evaluate the corresponding sub-solutions, and the original simulation model is only adopted to reevaluate some good sub-solutions selected by surrogate models.
no code implementations • 1 Mar 2018 • An Chen, Yi-Peng Zhang, Zhigang Ren, Yongsheng Liang, Bei Pang
On the one hand, by reducing the sensitivity of the indicator in DG to the roundoff error and the magnitude of contribution weight of subcomponent, we proposed a new indicator for two variables which is much more sensitive to their interaction.
no code implementations • 1 Mar 2018 • Yongsheng Liang, Zhigang Ren, Bei Pang, An Chen
As a model-based evolutionary algorithm, estimation of distribution algorithm (EDA) possesses unique characteristics and has been widely applied to global optimization.
no code implementations • 27 Feb 2018 • Zhigang Ren, Bei Pang, Yongsheng Liang, An Chen, Yi-Peng Zhang
It has been shown that cooperative coevolution (CC) can effectively deal with large scale optimization problems (LSOPs) through a divide-and-conquer strategy.
no code implementations • 25 Feb 2018 • Yongsheng Liang, Zhigang Ren, Xianghua Yao, Zuren Feng, An Chen
This study first systematically analyses the reasons for the deficiency of the traditional GEDA, then tries to enhance its performance by exploiting its evolution direction, and finally develops a new GEDA variant named EDA2.
no code implementations • 24 Jun 2014 • Christoph Belak, An Chen, Carla Mereu, Robert Stelzer
For this, we argue that the value function is the unique viscosity solution of the Hamilton-Jacobi-Bellman (HJB) equation.