Lili Guo

Orcid: 0000-0002-5526-0980

Affiliations:
  • China University of Mining and Technology, School of Computer Science and Technology, Xuzhou, China
  • Mine Digitization Engineering Research Center of Ministry of Education, Xuzhou, China


According to our database1, Lili Guo authored at least 62 papers between 2015 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Multiagent Reinforcement Learning With Graphical Mutual Information Maximization.
IEEE Trans. Neural Networks Learn. Syst., November, 2025

Robust Density Peaks Clustering for Manifold Data With Multiple Peaks.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2025

Semi-supervised classification model with stochastic configuration networks.
Knowl. Inf. Syst., November, 2025

Enhancing histopathological image classification through multi-view momentum encoding learning.
Appl. Intell., November, 2025

Fast Density Peaks Clustering Algorithm Based on Approximate k-Nearest Neighbors.
IEEE Trans. Knowl. Data Eng., October, 2025

Parameter-Adaptive Border Peeling Clustering Algorithm.
IEEE Trans. Knowl. Data Eng., September, 2025

Vertical Federated Density Peaks Clustering Under Nonlinear Mapping.
IEEE Trans. Knowl. Data Eng., February, 2025

DSTCNet: Deep Spectro-Temporal-Channel Attention Network for Speech Emotion Recognition.
IEEE Trans. Neural Networks Learn. Syst., January, 2025

Horizontal Federated Density Peaks Clustering.
IEEE Trans. Neural Networks Learn. Syst., January, 2025

APIN: Amplitude- and phase-aware interaction network for speech emotion recognition.
Speech Commun., 2025

Multi-channel set polynomial based label regularized graph neural networks against extreme data scarcity.
Pattern Recognit., 2025

Multi-Agent policy gradients with dynamic weighted value decomposition.
Pattern Recognit., 2025

Triple-view graph clustering network based on high-confidence contrastive learning strategy.
Knowl. Based Syst., 2025

A novel robust semi-supervised stochastic configuration network for regression tasks with noise.
Inf. Sci., 2025

Multi-modal Anchor Gated Transformer with Knowledge Distillation for Emotion Recognition in Conversation.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Global Information Compensation Network for Image Denoising.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

A Medical Image Classification Network Based on Multi-View Consistent Momentum Contrastive Learning.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024
Graph-Based Semi-Supervised Deep Image Clustering With Adaptive Adjacency Matrix.
IEEE Trans. Neural Networks Learn. Syst., December, 2024

Towards Faster Deep Graph Clustering via Efficient Graph Auto-Encoder.
ACM Trans. Knowl. Discov. Data, September, 2024

Intuitionistic Fuzzy Stochastic Configuration Networks for Solving Binary Classification Problems.
IEEE Trans. Fuzzy Syst., August, 2024

Robust Multi-Agent Communication With Graph Information Bottleneck Optimization.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Better value estimation in Q-learning-based multi-agent reinforcement learning.
Soft Comput., March, 2024

A novel image denoising algorithm combining attention mechanism and residual UNet network.
Knowl. Inf. Syst., January, 2024

Wavelet and Adaptive Coordinate Attention Guided Fine-Grained Residual Network for Image Denoising.
IEEE Trans. Circuits Syst. Video Technol., 2024

Speaker-aware cognitive network with cross-modal attention for multimodal emotion recognition in conversation.
Knowl. Based Syst., 2024

Synergistic Deep Graph Clustering Network.
CoRR, 2024

Deep Friendly Embedding Space for Clustering.
Proceedings of the Intelligent Information Processing XII, 2024

Expressive Multi-Agent Communication via Identity-Aware Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Graph clustering network with structure embedding enhanced.
Pattern Recognit., December, 2023

FEMRNet: Feature-enhanced multi-scale residual network for image denoising.
Appl. Intell., November, 2023

Multi-agent dueling Q-learning with mean field and value decomposition.
Pattern Recognit., July, 2023

A novel capsule network based on deep routing and residual learning.
Soft Comput., June, 2023

Maximum density minimum redundancy based hypergraph regularized support vector regression.
Int. J. Mach. Learn. Cybern., May, 2023

A Sampling-Based Density Peaks Clustering Algorithm for Large-Scale Data.
Pattern Recognit., April, 2023

Incremental Multilayer Broad Learning System With Stochastic Configuration Algorithm for Regression.
IEEE Trans. Cogn. Dev. Syst., 2023

Widely-activated network merging perceptual loss via discrete wavelet transform for image super-resolution.
Int. J. Mach. Learn. Cybern., 2023

SFEMGN: Image Denoising with Shallow Feature Enhancement Network and Multi-Scale ConvGRU.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Learning affective representations based on magnitude and dynamic relative phase information for speech emotion recognition.
Speech Commun., 2022

Broad learning system based ensemble deep model.
Soft Comput., 2022

Low-degree term first in ResNet, its variants and the whole neural network family.
Neural Networks, 2022

A Gaussian RBM with binary auxiliary units.
Int. J. Mach. Learn. Cybern., 2022

Hypergraph regularized semi-supervised support vector machine.
Inf. Sci., 2022

Value function factorization with dynamic weighting for deep multi-agent reinforcement learning.
Inf. Sci., 2022

An optimized twin support vector regression algorithm enhanced by ensemble empirical mode decomposition and gated recurrent unit.
Inf. Sci., 2022

Emotion Recognition With Multimodal Transformer Fusion Framework Based on Acoustic and Lexical Information.
IEEE Multim., 2022

Context- and Knowledge-Aware Graph Convolutional Network for Multimodal Emotion Recognition.
IEEE Multim., 2022

2021
A Sentiment Similarity-Oriented Attention Model with Multi-task Learning for Text-Based Emotion Recognition.
Proceedings of the MultiMedia Modeling - 27th International Conference, 2021

CONSK-GCN: Conversational Semantic- and Knowledge-Oriented Graph Convolutional Network for Multimodal Emotion Recognition.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Multimodal Emotion Recognition with Capsule Graph Convolutional Based Representation Fusion.
Proceedings of the IEEE International Conference on Acoustics, 2021

Representation Learning with Spectro-Temporal-Channel Attention for Speech Emotion Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Speaker-Aware Speech Emotion Recognition by Fusing Amplitude and Phase Information.
Proceedings of the MultiMedia Modeling - 26th International Conference, 2020

Temporal Attention Convolutional Network for Speech Emotion Recognition with Latent Representation.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Speech Emotion Recognition with Local-Global Aware Deep Representation Learning.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Exploration of Complementary Features for Speech Emotion Recognition Based on Kernel Extreme Learning Machine.
IEEE Access, 2019

Time-Frequency Deep Representation Learning for Speech Emotion Recognition Integrating Self-attention.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018
Speech Emotion Recognition by Combining Amplitude and Phase Information Using Convolutional Neural Network.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Convolutional Neural Network with Spectrogram and Perceptual Features for Speech Emotion Recognition.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

A Feature Fusion Method Based on Extreme Learning Machine for Speech Emotion Recognition.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Gender-Aware CNN-BLSTM for Speech Emotion Recognition.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017
Extreme learning machine with kernel model based on deep learning.
Neural Comput. Appl., 2017

2015
深度学习研究进展 (Research Progress on Deep Learning).
计算机科学, 2015


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