Tiantian He

According to our database, Tiantian He authored at least 41 papers between 2014 and 2024.

Collaborative distances:

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

2024

FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants.

Shanli Tan, Hao Cheng, Xiaohu Wu, Han Yu, Tiantian He, Yew Soon Ong, Chongjun Wang, Xiaofeng Tao

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

2023

Semisupervised Graph Neural Networks for Graph Classification.

Yu Xie, Yanfeng Liang, Maoguo Gong, A. Kai Qin, Yew-Soon Ong, Tiantian He

IEEE Trans. Cybern., October, 2023

An investigation of effects of a non-repetitive preferred music on physiological responses amongst a group of chronic tinnitus patients.

Jiemei Chen, Tiantian He, Leiyu Qi, Ping Zhong, Gang Li, Fan Pan, Peiyu He, Yun Zheng

Biomed. Signal Process. Control., August, 2023

Two-Stream Graph Convolutional Network-Incorporated Latent Feature Analysis.

Fanghui Bi, Tiantian He, Yuetong Xie, Xin Luo

IEEE Trans. Serv. Comput., 2023

A Coupled-Mechanisms Modelling Framework for Neurodegeneration.

Tiantian He, Elinor Thompson, Anna Schroder, Neil P. Oxtoby, Ahmed Abdulaal, Frederik Barkhof, Daniel C. Alexander

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Vicinal Vertex Allocation for Matrix Factorization in Networks.

Tiantian He, Lu Bai, Yew-Soon Ong

IEEE Trans. Cybern., 2022

Co-Learning Bayesian Optimization.

Zhendong Guo, Yew-Soon Ong, Tiantian He, Haitao Liu

IEEE Trans. Cybern., 2022

Not All Neighbors Are Worth Attending to: Graph Selective Attention Networks for Semi-supervised Learning.

Tiantian He, Haicang Zhou, Yew-Soon Ong, Gao Cong

CoRR, 2022

A multiobjective prediction model with incremental learning ability by developing a multi-source filter neural network for the electrolytic aluminium process.

Lizhong Yao, Wei Ding, Tiantian He, Shouxin Liu, Ling Nie

Appl. Intell., 2022

Exploring Linear Feature Disentanglement for Neural Networks.

Tiantian He, Zhibin Li, Yongshun Gong, Yazhou Yao, Xiushan Nie, Yilong Yin

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

A Two-Stream Light Graph Convolution Network-based Latent Factor Model for Accurate Cloud Service QoS Estimation.

Fanghui Bi, Tiantian He, Xin Luo

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

Multi-source propagation aware network clustering^☆.

Tiantian He, Yew-Soon Ong, Pengwei Hu

Neurocomputing, 2021

Exploiting higher-order patterns for community detection in attributed graphs.

Lun Hu, Xiangyu Pan, Hong Yan, Pengwei Hu, Tiantian He

Integr. Comput. Aided Eng., 2021

Graph Joint Attention Networks.

Tiantian He, Lu Bai, Yew-Soon Ong

CoRR, 2021

Dynamic evolutionary model based on a multi-sampling inherited HAPFNN for an aluminium electrolysis manufacturing system.

Wei Ding, Lizhong Yao, Yanyan Li, Wei Long, Jun Yi, Tiantian He

Appl. Soft Comput., 2021

Fuzzy Community Detection with Multi-View Correlated Topics.

Lizhong Yao, Tiantian He

Proceedings of the WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence, Hybrid Event / Melbourne, VIC, Australia, December 14 - 17, 2021, 2021

Learning Conjoint Attentions for Graph Neural Nets.

Tiantian He, Yew Soon Ong, Lu Bai

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Contextual Correlation Preserving Multiview Featured Graph Clustering.

Tiantian He, Yang Liu, Tobey H. Ko, Keith C. C. Chan, Yew-Soon Ong

IEEE Trans. Cybern., 2020

Multi-task gradient descent for multi-task learning.

Lu Bai, Yew-Soon Ong, Tiantian He, Abhishek Gupta

Memetic Comput., 2020

Precise object detection using adversarially augmented local/global feature fusion.

Xiaobing Han, Tiantian He, Yew-Soon Ong, Yanfei Zhong

Eng. Appl. Artif. Intell., 2020

Relational Thematic Clustering with Mutually Preferred Neighbors.

Tiantian He, Lu Bai, Yew-Soon Ong

CoRR, 2020

An Automatic Method to Develop Music With Music Segment and Long Short Term Memory for Tinnitus Music Therapy.

Jiemei Chen, Fan Pan, Ping Zhong, Tiantian He, Leiyu Qi, Jingzhe Lu, Peiyu He, Yun Zheng

IEEE Access, 2020

2019

Measuring Boundedness for Protein Complex Identification in PPI Networks.

Tiantian He, Keith C. C. Chan

IEEE ACM Trans. Comput. Biol. Bioinform., 2019

A Multi-Task Gradient Descent Method for Multi-Label Learning.

Lu Bai, Yew-Soon Ong, Tiantian He, Abhishek Gupta

CoRR, 2019

An Improved QoE Evaluation Model for HTTP Adaptive Streaming.

Zaixin Yang, Tiantian He, Li Song, Rong Xie, Xiao Gu

Proceedings of the 2019 IEEE Visual Communications and Image Processing, 2019

Manifold Regularized Stochastic Block Model.

Tiantian He, Lu Bai, Yew-Soon Ong

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018

Discovering Fuzzy Structural Patterns for Graph Analytics.

Tiantian He, Keith C. C. Chan

IEEE Trans. Fuzzy Syst., 2018

MISAGA: An Algorithm for Mining Interesting Subgraphs in Attributed Graphs.

Tiantian He, Keith C. C. Chan

IEEE Trans. Cybern., 2018

Evolutionary Graph Clustering for Protein Complex Identification.

Tiantian He, Keith C. C. Chan

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

An eigenvector based center selection for fast training scheme of RBFNN.

Yan-Xing Hu, Jane Jia You, James N. K. Liu, Tiantian He

Inf. Sci., 2018

Learning Latent Factors for Community Identification and Summarization.

Tiantian He, Lun Hu, Keith C. C. Chan, Pengwei Hu

IEEE Access, 2018

Clustering in Networks with Multi-Modality Attributes.

Tiantian He, Keith C. C. Chan, Libin Yang

Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

Towards Learning Emotional Subspace.

Tobey H. Ko, Zhonglei Gu, Tiantian He, Yang Liu

Proceedings of the Working Notes Proceedings of the MediaEval 2018 Workshop, 2018

Learning Latent Factors in Linked Multi-modality Data.

Tiantian He, Keith C. C. Chan

Proceedings of the Foundations of Intelligent Systems - 24th International Symposium, 2018

A No Reference Bitstream-Based Video Quality Assessment Model for H.265/HEVC and H.264/AVC.

Tiantian He, Rong Xie, Jia Su, Xin Tang, Li Song

Proceedings of the 2018 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2018

Learning Latent Patterns in Molecular Data for Explainable Drug Side Effects Prediction.

Pengwei Hu, Zhu-Hong You, Tiantian He, Shaochun Li, Shuhang Gu, Keith C. C. Chan

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Learning Deep Representations in Large Integrated Network for Graph Clustering.

Pengwei Hu, Zhaomeng Niu, Tiantian He, Keith C. C. Chan

Proceedings of the First IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2018

2017

Evaluation of No Reference Bitstream-based Video Quality Assessment Methods.

Tiantian He, Yankai Liu, Rong Xie, Xin Tang, Li Song

CoRR, 2017

Deep Graph Clustering in Social Network.

Pengwei Hu, Keith C. C. Chan, Tiantian He

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Deep Fusion of Multiple Networks for Learning Latent Social Communities.

Pengwei Hu, Tiantian He, Keith C. C. Chan, Henry Leung

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

2014

Evolutionary community detection in social networks.

Tiantian He, Keith C. C. Chan

Proceedings of the IEEE Congress on Evolutionary Computation, 2014