Search Results for author: Yuhui Shi

Found 22 papers, 10 papers with code

Continual Task Allocation in Meta-Policy Network via Sparse Prompting

1 code implementation29 May 2023 Yijun Yang, Tianyi Zhou, Jing Jiang, Guodong Long, Yuhui Shi

How to train a generalizable meta-policy by continually learning a sequence of tasks?

Cooperative Coevolution for Non-Separable Large-Scale Black-Box Optimization: Convergence Analyses and Distributed Accelerations

1 code implementation11 Apr 2023 Qiqi Duan, Chang Shao, Guochen Zhou, Haobin Yang, Qi Zhao, Yuhui Shi

Given the ubiquity of non-separable optimization problems in real worlds, in this paper we analyze and extend the large-scale version of the well-known cooperative coevolution (CC), a divide-and-conquer optimization framework, on non-separable functions.

Distributed Computing

A Survey on Automated Design of Metaheuristic Algorithms

no code implementations12 Mar 2023 Qi Zhao, Qiqi Duan, Bai Yan, Shi Cheng, Yuhui Shi

In the survey, we first present the concept of automated design of metaheuristic algorithms and provide a taxonomy by abstracting the automated design process into four parts, i. e., design space, design strategies, performance evaluation strategies, and targeted problems.

AutoOptLib: A Library of Automatically Designing Metaheuristic Optimization Algorithms in MATLAB

1 code implementation12 Mar 2023 Qi Zhao, Bai Yan, Taiwei Hu, Xianglong Chen, Yuhui Shi

Metaheuristic algorithms are widely-recognized solvers for challenging optimization problems with multi-modality, discretization, large-scale, multi-objectivity, etc.

Metaheuristic Optimization

Semi-decentralized Federated Ego Graph Learning for Recommendation

no code implementations10 Feb 2023 Liang Qu, Ningzhi Tang, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi, Hongzhi Yin

In light of this, we propose a semi-decentralized federated ego graph learning framework for on-device recommendations, named SemiDFEGL, which introduces new device-to-device collaborations to improve scalability and reduce communication costs and innovatively utilizes predicted interacted item nodes to connect isolated ego graphs to augment local subgraphs such that the high-order user-item collaborative information could be used in a privacy-preserving manner.

Collaborative Filtering Graph Learning +2

Improving Fake News Detection of Influential Domain via Domain- and Instance-Level Transfer

no code implementations COLING 2022 Qiong Nan, Danding Wang, Yongchun Zhu, Qiang Sheng, Yuhui Shi, Juan Cao, Jintao Li

To address this issue, we propose a Domain- and Instance-level Transfer Framework for Fake News Detection (DITFEND), which could improve the performance of specific target domains.

Fake News Detection Language Modelling +2

Evolutionary Multiparty Distance Minimization

1 code implementation27 Jul 2022 Zeneng She, Wenjian Luo, Xin Lin, Yatong Chang, Yuhui Shi

In the field of evolutionary multiobjective optimization, the decision maker (DM) concerns conflicting objectives.

Multiobjective Optimization

Toward multi-target self-organizing pursuit in a partially observable Markov game

1 code implementation24 Jun 2022 Lijun Sun, Yu-Cheng Chang, Chao Lyu, Ye Shi, Yuhui Shi, Chin-Teng Lin

The proposed distributed algorithm: fuzzy self-organizing cooperative coevolution (FSC2) is then leveraged to resolve the three challenges in multi-target SOP: distributed self-organizing search (SOS), distributed task allocation, and distributed single-target pursuit.

Decision Making Multi-Agent Path Finding +1

Single-shot Embedding Dimension Search in Recommender System

no code implementations7 Apr 2022 Liang Qu, Yonghong Ye, Ningzhi Tang, Lixin Zhang, Yuhui Shi, Hongzhi Yin

In order to alleviate the above issues, some works focus on automated embedding dimension search by formulating it as hyper-parameter optimization or embedding pruning problems.

Click-Through Rate Prediction Recommendation Systems

AutoOpt: A General Framework for Automatically Designing Metaheuristic Optimization Algorithms with Diverse Structures

1 code implementation3 Apr 2022 Qi Zhao, Bai Yan, Xianglong Chen, Taiwei Hu, Shi Cheng, Yuhui Shi

However, the specific algorithm prototype and linear algorithm representation in the current automated design pipeline restrict the design within a fixed algorithm structure, which hinders discovering novelties and diversity across the metaheuristic family.

Metaheuristic Optimization

AutoML for Deep Recommender Systems: A Survey

no code implementations25 Mar 2022 Ruiqi Zheng, Liang Qu, Bin Cui, Yuhui Shi, Hongzhi Yin

To tackle this problem, Automated Machine Learning (AutoML) is introduced to automatically search for the proper candidates for different parts of deep recommender systems.

AutoML feature selection +1

Pareto Policy Pool for Model-based Offline Reinforcement Learning

no code implementations ICLR 2022 Yijun Yang, Jing Jiang, Tianyi Zhou, Jie Ma, Yuhui Shi

Model-based offline RL instead trains an environment model using a dataset of pre-collected experiences so online RL methods can learn in an offline manner by solely interacting with the model.

D4RL Offline RL +2

Evolutionary Robust Clustering Over Time for Temporal Data

no code implementations14 Jun 2021 Qi Zhao, Bai Yan, Yuhui Shi

In many clustering scenes, data samples' attribute values change over time.

ImGAGN:Imbalanced Network Embedding via Generative Adversarial Graph Networks

1 code implementation5 Jun 2021 Liang Qu, Huaisheng Zhu, Ruiqi Zheng, Yuhui Shi, Hongzhi Yin

Imbalanced classification on graphs is ubiquitous yet challenging in many real-world applications, such as fraudulent node detection.

Classification imbalanced classification +2

Robotic Brain Storm Optimization: A Multi-target Collaborative Searching Paradigm for Swarm Robotics

no code implementations27 May 2021 Jian Yang, Yuhui Shi

Swarm intelligence optimization algorithms can be adopted in swarm robotics for target searching tasks in a 2-D or 3-D space by treating the target signal strength as fitness values.

Attention-oriented Brain Storm Optimization for Multimodal Optimization Problems

1 code implementation27 May 2021 Jian Yang, Yuhui Shi

Rather than converge to a single global optimum, the proposed method can guide the search procedure to converge to multiple "salient" solutions.

EEG-based Drowsiness Estimation for Driving Safety using Deep Q-Learning

no code implementations8 Jan 2020 Yurui Ming, Dongrui Wu, Yu-Kai Wang, Yuhui Shi, Chin-Teng Lin

To the best of our knowledge, we are the first to introduce the deep reinforcement learning method to this BCI scenario, and our method can be potentially generalized to other BCI cases.

Electroencephalogram (EEG) Q-Learning +2

Cooperative coevolution of real predator robots and virtual robots in the pursuit domain

1 code implementation23 Jan 2019 Lijun Sun, Chao Lyu, Yuhui Shi

This paper presents a particle swarm optimization (PSO) based cooperative coevolutionary algorithm for the (predator) robots, called CCPSO-R, where real and virtual robots coexist in an evolutionary algorithm (EA).

Robotics Multiagent Systems

Student's t Distribution based Estimation of Distribution Algorithms for Derivative-free Global Optimization

no code implementations12 Aug 2016 Bin Liu, Shi Cheng, Yuhui Shi

Observing that the Student's t distribution has heavier and longer tails than the Gaussian, which may be beneficial for exploring the solution space, we propose a novel EDA algorithm termed ESTDA, in which the Student's t distribution, rather than Gaussian, is employed.

Random Drift Particle Swarm Optimization

no code implementations12 Jun 2013 Jun Sun, Xiao-Jun Wu, Vasile Palade, Wei Fang, Yuhui Shi

The free electron model considers that electrons have both a thermal and a drift motion in a conductor that is placed in an external electric field.

Cannot find the paper you are looking for? You can Submit a new open access paper.