Search Results for author: Yuhui Shi

Found 31 papers, 13 papers with code

Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection

1 code implementation21 Sep 2023 Beizhe Hu, Qiang Sheng, Juan Cao, Yuhui Shi, Yang Li, Danding Wang, Peng Qi

To instantiate this proposal, we design an adaptive rationale guidance network for fake news detection (ARG), in which SLMs selectively acquire insights on news analysis from the LLMs' rationales.

Fake News Detection

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.

Attribute Classification +3

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

AutoOptLib: Tailoring Metaheuristic Optimizers via Automated Algorithm Design

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

In response, this paper proposes AutoOptLib, the first platform for accessible automated design of metaheuristic optimizers.

Metaheuristic 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

Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld

1 code implementation28 Nov 2023 Yijun Yang, Tianyi Zhou, Kanxue Li, Dapeng Tao, Lusong Li, Li Shen, Xiaodong He, Jing Jiang, Yuhui Shi

While large language models (LLMs) excel in a simulated world of texts, they struggle to interact with the more realistic world without perceptions of other modalities such as visual or audio signals.

Imitation Learning

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

We address it by "Continual Task Allocation via Sparse Prompting (CoTASP)", which learns over-complete dictionaries to produce sparse masks as prompts extracting a sub-network for each task from a meta-policy network.

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

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 black-box optimization framework, on non-separable functions.

Distributed Computing

Ten Words Only Still Help: Improving Black-Box AI-Generated Text Detection via Proxy-Guided Efficient Re-Sampling

1 code implementation14 Feb 2024 Yuhui Shi, Qiang Sheng, Juan Cao, Hao Mi, Beizhe Hu, Danding Wang

With the rapidly increasing application of large language models (LLMs), their abuse has caused many undesirable societal problems such as fake news, academic dishonesty, and information pollution.

Text Detection

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

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.

Evolutionary Algorithms

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.

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.

Brain Computer Interface EEG +4

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.

Clustering

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.

Clustering

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.

Attribute Clustering

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

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

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

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

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

Automated Design of Metaheuristic Algorithms: A Survey

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

Metaheuristics have gained great success in academia and practice because their search logic can be applied to any problem with available solution representation, solution quality evaluation, and certain notions of locality.

Personalized Elastic Embedding Learning for On-Device Recommendation

no code implementations18 Jun 2023 Ruiqi Zheng, Liang Qu, Tong Chen, Kai Zheng, Yuhui Shi, Hongzhi Yin

Given a memory budget, PEEL efficiently generates PEEs by selecting embedding blocks with the largest weights, making it adaptable to dynamic memory budgets on devices.

Distributed Evolution Strategies with Multi-Level Learning for Large-Scale Black-Box Optimization

no code implementations9 Oct 2023 Qiqi Duan, Chang Shao, Guochen Zhou, Minghan Zhang, Qi Zhao, Yuhui Shi

In the post-Moore era, main performance gains of black-box optimizers are increasingly depending on parallelism, especially for large-scale optimization (LSO).

Benchmarking

On-Device Recommender Systems: A Comprehensive Survey

no code implementations21 Jan 2024 Hongzhi Yin, Liang Qu, Tong Chen, Wei Yuan, Ruiqi Zheng, Jing Long, Xin Xia, Yuhui Shi, Chengqi Zhang

Recently, driven by the advances in storage, communication, and computation capabilities of edge devices, there has been a shift of focus from CloudRSs to on-device recommender systems (DeviceRSs), which leverage the capabilities of edge devices to minimize centralized data storage requirements, reduce the response latency caused by communication overheads, and enhance user privacy and security by localizing data processing and model training.

Recommendation Systems

Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation

no code implementations24 Jan 2024 Ruiqi Zheng, Liang Qu, Tong Chen, Lizhen Cui, Yuhui Shi, Hongzhi Yin

Collaborative Learning (CL) emerges to promote model sharing among users, where reference data is an intermediary that allows users to exchange their soft decisions without directly sharing their private data or parameters, ensuring privacy and benefiting from collaboration.

Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation

no code implementations31 Jan 2024 Liang Qu, Wei Yuan, Ruiqi Zheng, Lizhen Cui, Yuhui Shi, Hongzhi Yin

To bridge this gap, this paper explores a user-governed data contribution federated recommendation architecture where users are free to take control of whether they share data and the proportion of data they share to the server.

Contrastive Learning Recommendation Systems

Benchmark for CEC 2024 Competition on Multiparty Multiobjective Optimization

no code implementations3 Feb 2024 Wenjian Luo, Peilan Xu, Shengxiang Yang, Yuhui Shi

The competition focuses on Multiparty Multiobjective Optimization Problems (MPMOPs), where multiple decision makers have conflicting objectives, as seen in applications like UAV path planning.

Multiobjective Optimization

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