Lili Guo

According to our database, Lili Guo authored at least 80 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Semantic Image Clustering With Deep Learning.

Haiwei Hou, Shifei Ding, Xiao Xu, Lili Guo, Ling Ding, Xindong Wu

IEEE Trans. Cogn. Dev. Syst., April, 2026

A comprehensive survey of image clustering based on deep learning.

Haiwei Hou, Shifei Ding, Chuangui Cao, Xiao Xu, Lili Guo, Xuan Li

Pattern Recognit., 2026

EmoKEG: Knowledge-enhanced heterogeneous graph for emotion recognition in conversation.

Lili Guo, Yanan Cui, Yikang Song, Haiwei Hou, Shifei Ding

Pattern Recognit., 2026

Contextual Structure-Enhanced Selective Graph Convolutional Network.

Shifei Ding, Fangchen Li, Lili Guo, Jian Zhang

Proceedings of the ACM Web Conference 2026, 2026

Multi-view Hierarchical Graph Contrastive Learning based on Asynchronous Asymmetric Structure.

Chuangui Cao, Shifei Ding, Jian Zhang, Lili Guo, Xuan Li

Proceedings of the ACM Web Conference 2026, 2026

2025

Multiagent Reinforcement Learning With Graphical Mutual Information Maximization.

Shifei Ding, Wei Du, Ling Ding, Jian Zhang, Lili Guo, Bo An

IEEE Trans. Neural Networks Learn. Syst., November, 2025

Robust Density Peaks Clustering for Manifold Data With Multiple Peaks.

Ling Ding, Chao Li, Shifei Ding, Xiao Xu, Lili Guo, Xindong Wu

IEEE Trans. Pattern Anal. Mach. Intell., November, 2025

Semi-supervised classification model with stochastic configuration networks.

Shifei Ding, Zi Zhang, Chenglong Zhang, Li Xu, Lili Guo, Xuan Li

Knowl. Inf. Syst., November, 2025

Enhancing histopathological image classification through multi-view momentum encoding learning.

Chuangui Cao, Shifei Ding, Lili Guo, Xiaohao Xie

Appl. Intell., November, 2025

Fast Density Peaks Clustering Algorithm Based on Approximate k-Nearest Neighbors.

Shifei Ding, Chao Li, Xiao Xu, Lili Guo, Ling Ding, Xindong Wu

IEEE Trans. Knowl. Data Eng., October, 2025

Parameter-Adaptive Border Peeling Clustering Algorithm.

Hui Tu, Shifei Ding, Xiao Xu, Lili Guo, Ling Ding, Xindong Wu

IEEE Trans. Knowl. Data Eng., September, 2025

Vertical Federated Density Peaks Clustering Under Nonlinear Mapping.

Chao Li, Shifei Ding, Xiao Xu, Lili Guo, Ling Ding, Xindong Wu

IEEE Trans. Knowl. Data Eng., February, 2025

DSTCNet: Deep Spectro-Temporal-Channel Attention Network for Speech Emotion Recognition.

Lili Guo, Shifei Ding, Longbiao Wang, Jianwu Dang

IEEE Trans. Neural Networks Learn. Syst., January, 2025

Horizontal Federated Density Peaks Clustering.

Shifei Ding, Chao Li, Xiao Xu, Lili Guo, Ling Ding, Xindong Wu

IEEE Trans. Neural Networks Learn. Syst., January, 2025

APIN: Amplitude- and phase-aware interaction network for speech emotion recognition.

Lili Guo, Jie Li, Shifei Ding, Jianwu Dang

Speech Commun., 2025

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

Jingxiao Zhang, Shifei Ding, Jian Zhang, Lili Guo, Ling Ding

Pattern Recognit., 2025

Multi-Agent policy gradients with dynamic weighted value decomposition.

Shifei Ding, Xiaomin Dong, Jian Zhang, Lili Guo, Wei Du, Chenglong Zhang

Pattern Recognit., 2025

Triple-view graph clustering network based on high-confidence contrastive learning strategy.

Shifei Ding, Zhe Li, Xiao Xu, Lili Guo, Ling Ding

Knowl. Based Syst., 2025

A novel robust semi-supervised stochastic configuration network for regression tasks with noise.

Shifei Ding, Zi Zhang, Li Xu, Chenglong Zhang, Lili Guo, Xuan Li

Inf. Sci., 2025

L2DGCN: Learnable Enhancement and Label Selection Dynamic Graph Convolutional Networks for Mitigating Degree Bias.

Jingxiao Zhang, Shifei Ding, Jian Jun Zhang, Lili Guo, Xuan Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Multi-modal Anchor Gated Transformer with Knowledge Distillation for Emotion Recognition in Conversation.

Jie Li, Shifei Ding, Lili Guo, Xuan Li

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Global Information Compensation Network for Image Denoising.

Shifei Ding, Qidong Wang, Lili Guo

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.

Chuangui Cao, Shifei Ding, Lili Guo

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

Graph-Based Semi-Supervised Deep Image Clustering With Adaptive Adjacency Matrix.

Shifei Ding, Haiwei Hou, Xiao Xu, Jian Zhang, Lili Guo, Ling Ding

IEEE Trans. Neural Networks Learn. Syst., December, 2024

Towards Faster Deep Graph Clustering via Efficient Graph Auto-Encoder.

Shifei Ding, Benyu Wu, Ling Ding, Xiao Xu, Lili Guo, Hongmei Liao, Xindong Wu

ACM Trans. Knowl. Discov. Data, September, 2024

Intuitionistic Fuzzy Stochastic Configuration Networks for Solving Binary Classification Problems.

Lili Guo, Jianglan Zhu, Chenglong Zhang, Shifei Ding

IEEE Trans. Fuzzy Syst., August, 2024

Robust Multi-Agent Communication With Graph Information Bottleneck Optimization.

Shifei Ding, Wei Du, Ling Ding, Jian Zhang, Lili Guo, Bo An

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Better value estimation in Q-learning-based multi-agent reinforcement learning.

Ling Ding, Wei Du, Jian Zhang, Lili Guo, Chenglong Zhang, Di Jin, Shifei Ding

Soft Comput., March, 2024

A novel image denoising algorithm combining attention mechanism and residual UNet network.

Shifei Ding, Qidong Wang, Lili Guo, Jian Zhang, Ling Ding

Knowl. Inf. Syst., January, 2024

A Novel Transfer Learning Approach for State-of-Health Prediction of Lithium-Ion Batteries in the Absence of Run-to-Failure Data.

Lei Song, Xuanang Gui, Junrong Du, Zimeng Fan, Mingwei Li, Lili Guo

IEEE Trans. Instrum. Meas., 2024

Wavelet and Adaptive Coordinate Attention Guided Fine-Grained Residual Network for Image Denoising.

Shifei Ding, Qidong Wang, Lili Guo, Xuan Li, Ling Ding, Xindong Wu

IEEE Trans. Circuits Syst. Video Technol., 2024

Speaker-aware cognitive network with cross-modal attention for multimodal emotion recognition in conversation.

Lili Guo, Yikang Song, Shifei Ding

Knowl. Based Syst., 2024

Synergistic Deep Graph Clustering Network.

Benyu Wu, Shifei Ding, Xiao Xu, Lili Guo, Ling Ding, Xindong Wu

CoRR, 2024

Remaining useful life prediction under variable operating conditions via multisource adversarial domain adaptation networks.

Junrong Du, Lei Song, Xuanang Gui, Jian Zhang, Lili Guo, Xuzhi Li

Appl. Soft Comput., 2024

PatchTCN: Patch-Based Transformer Convolutional Network for Times Series Analysis.

Jian Zhang, Lili Guo, Lei Song, Song Gao, Chuanzhu Hao, Xuzhi Li

Proceedings of the 2024 3rd International Symposium on Computing and Artificial Intelligence, 2024

Deep Friendly Embedding Space for Clustering.

Haiwei Hou, Shifei Ding, Xiao Xu, Lili Guo

Proceedings of the Intelligent Information Processing XII, 2024

Feature Analysis for Incomplete Time Series Classification.

Lili Guo, Jianmin Wang, Yu He, Lei Song, Xin Qin, Xu Cheng

Proceedings of the 2024 3rd International Conference on Frontiers of Artificial Intelligence and Machine Learning, 2024

Robust Classification of Incomplete Time Series with Noisy Labels.

Xin Qin, Pengshuai Yao, Mengna Liu, Xu Cheng, Fan Shi, Lili Guo

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

A fine-tuning framework for cross-domain RUL prediction based on relevant health indicators.

Junrong Du, Zimeng Fan, Lei Song, Xuanang Gui, Lili Guo, Xuzhi Li

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

Expressive Multi-Agent Communication via Identity-Aware Learning.

Wei Du, Shifei Ding, Lili Guo, Jian Zhang, Ling Ding

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck.

Shifei Ding, Wei Du, Ling Ding, Lili Guo, Jian Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Graph clustering network with structure embedding enhanced.

Shifei Ding, Benyu Wu, Xiao Xu, Lili Guo, Ling Ding

Pattern Recognit., December, 2023

FEMRNet: Feature-enhanced multi-scale residual network for image denoising.

Xiao Xu, Qidong Wang, Lili Guo, Jian Zhang, Shifei Ding

Appl. Intell., November, 2023

Multi-agent dueling Q-learning with mean field and value decomposition.

Shifei Ding, Wei Du, Ling Ding, Lili Guo, Jian Zhang, Bo An

Pattern Recognit., July, 2023

A novel capsule network based on deep routing and residual learning.

Jian Zhang, Qinghai Xu, Lili Guo, Ling Ding, Shifei Ding

Soft Comput., June, 2023

Maximum density minimum redundancy based hypergraph regularized support vector regression.

Shifei Ding, Yuting Sun, Jian Zhang, Lili Guo, Xiao Xu, Zichen Zhang

Int. J. Mach. Learn. Cybern., May, 2023

A Sampling-Based Density Peaks Clustering Algorithm for Large-Scale Data.

Shifei Ding, Chao Li, Xiao Xu, Ling Ding, Jian Zhang, Lili Guo, Tianhao Shi

Pattern Recognit., April, 2023

Incremental Multilayer Broad Learning System With Stochastic Configuration Algorithm for Regression.

Shifei Ding, Chenglong Zhang, Jian Zhang, Lili Guo, Ling Ding

IEEE Trans. Cogn. Dev. Syst., 2023

Widely-activated network merging perceptual loss via discrete wavelet transform for image super-resolution.

Lili Guo, Yanru Wang, Fanchao Wang, Ling Ding, Shifei Ding

Int. J. Mach. Learn. Cybern., 2023

SFEMGN: Image Denoising with Shallow Feature Enhancement Network and Multi-Scale ConvGRU.

Qidong Wang, Lili Guo, Shifei Ding, Jian Zhang, Xiao Xu

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Consistent Anomaly Detection and Localization of Multivariate Time Series via Cross-Correlation Graph-Based Encoder-Decoder GAN.

Haoran Liang, Lei Song, Junrong Du, Xuzhi Li, Lili Guo

IEEE Trans. Instrum. Meas., 2022

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

Lili Guo, Longbiao Wang, Jianwu Dang, Eng Siong Chng, Seiichi Nakagawa

Speech Commun., 2022

Broad learning system based ensemble deep model.

Chenglong Zhang, Shifei Ding, Lili Guo, Jian Zhang

Soft Comput., 2022

Mechanism Analysis and Self-Adaptive RBFNN Based Hybrid Soft Sensor Model in Energy Production Process: A Case Study.

Junrong Du, Jian Zhang, Laishun Yang, Xuzhi Li, Lili Guo, Lei Song

Sensors, 2022

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

Tongfeng Sun, Shifei Ding, Lili Guo

Neural Networks, 2022

A Gaussian RBM with binary auxiliary units.

Jian Zhang, Shifei Ding, Tongfeng Sun, Lili Guo

Int. J. Mach. Learn. Cybern., 2022

Hypergraph regularized semi-supervised support vector machine.

Yuting Sun, Shifei Ding, Lili Guo, Zichen Zhang

Inf. Sci., 2022

Value function factorization with dynamic weighting for deep multi-agent reinforcement learning.

Wei Du, Shifei Ding, Lili Guo, Jian Zhang, Chenglong Zhang, Ling Ding

Inf. Sci., 2022

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

Shifei Ding, Zichen Zhang, Lili Guo, Yuting Sun

Inf. Sci., 2022

Emotion Recognition With Multimodal Transformer Fusion Framework Based on Acoustic and Lexical Information.

Lili Guo, Longbiao Wang, Jianwu Dang, Yahui Fu, Jiaxing Liu, Shifei Ding

IEEE Multim., 2022

Context- and Knowledge-Aware Graph Convolutional Network for Multimodal Emotion Recognition.

Yahui Fu, Shogo Okada, Longbiao Wang, Lili Guo, Yaodong Song, Jiaxing Liu, Jianwu Dang

IEEE Multim., 2022

2021

Robust unsupervised anomaly detection via multi-time scale DCGANs with forgetting mechanism for industrial multivariate time series.

Haoran Liang, Lei Song, Jianxing Wang, Lili Guo, Xuzhi Li, Ji Liang

Neurocomputing, 2021

A Sentiment Similarity-Oriented Attention Model with Multi-task Learning for Text-Based Emotion Recognition.

Yahui Fu, Lili Guo, Longbiao Wang, Zhilei Liu, Jiaxing Liu, Jianwu Dang

Proceedings of the MultiMedia Modeling - 27th International Conference, 2021

CONSK-GCN: Conversational Semantic- and Knowledge-Oriented Graph Convolutional Network for Multimodal Emotion Recognition.

Yahui Fu, Shogo Okada, Longbiao Wang, Lili Guo, Yaodong Song, Jiaxing Liu, Jianwu Dang

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Multimodal Emotion Recognition with Capsule Graph Convolutional Based Representation Fusion.

Jiaxing Liu, Sen Chen, Longbiao Wang, Zhilei Liu, Yahui Fu, Lili Guo, Jianwu Dang

Proceedings of the IEEE International Conference on Acoustics, 2021

Representation Learning with Spectro-Temporal-Channel Attention for Speech Emotion Recognition.

Lili Guo, Longbiao Wang, Chenglin Xu, Jianwu Dang, Eng Siong Chng, Haizhou Li

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

An improvement growing neural gas method for online anomaly detection of aerospace payloads.

Lei Song, Taisheng Zheng, Jianxing Wang, Lili Guo

Soft Comput., 2020

Speaker-Aware Speech Emotion Recognition by Fusing Amplitude and Phase Information.

Lili Guo, Longbiao Wang, Jianwu Dang, Zhilei Liu, Haotian Guan

Proceedings of the MultiMedia Modeling - 26th International Conference, 2020

Temporal Attention Convolutional Network for Speech Emotion Recognition with Latent Representation.

Jiaxing Liu, Zhilei Liu, Longbiao Wang, Yuan Gao, Lili Guo, Jianwu Dang

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Anomaly Detection of Aerospace Facilities Using Ganomaly.

Junrong Du, Lili Guo, Lei Song, Haoran Liang, Tianyuan Chen

Proceedings of the ICMSSP 2020: 5th International Conference on Multimedia Systems and Signal Processing, 2020

Speech Emotion Recognition with Local-Global Aware Deep Representation Learning.

Jiaxing Liu, Zhilei Liu, Longbiao Wang, Lili Guo, Jianwu Dang

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.

Lili Guo, Longbiao Wang, Jianwu Dang, Zhilei Liu, Haotian Guan

IEEE Access, 2019

Time-Frequency Deep Representation Learning for Speech Emotion Recognition Integrating Self-attention.

Jiaxing Liu, Zhilei Liu, Longbiao Wang, Lili Guo, Jianwu Dang

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Online Anomaly Detection of Streaming Data for Space Payloads Based on Improved GNG Algorithm.

Taisheng Zheng, Lei Song, Haoran Liang, Bingjun Guo, Lili Guo

Proceedings of the 4th International Conference on Multimedia Systems and Signal Processing, 2019

2018

Speech Emotion Recognition by Combining Amplitude and Phase Information Using Convolutional Neural Network.

Lili Guo, Longbiao Wang, Jianwu Dang, Linjuan Zhang, Haotian Guan, Xiangang Li

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.

Linjuan Zhang, Longbiao Wang, Jianwu Dang, Lili Guo, Haotian Guan

Proceedings of the Neural Information Processing - 25th International Conference, 2018

A Feature Fusion Method Based on Extreme Learning Machine for Speech Emotion Recognition.

Lili Guo, Longbiao Wang, Jianwu Dang, Linjuan Zhang, Haotian Guan

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Gender-Aware CNN-BLSTM for Speech Emotion Recognition.

Linjuan Zhang, Longbiao Wang, Jianwu Dang, Lili Guo, Qiang Yu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017

Extreme learning machine with kernel model based on deep learning.

Shifei Ding, Lili Guo, Yanlu Hou

Neural Comput. Appl., 2017

2015

深度学习研究进展 (Research Progress on Deep Learning).

Lili Guo, Shifei Ding

计算机科学, 2015