Tiantian He

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 48

Top Topics

Graph Clustering

Top Venues

IEEE Trans. Cybern.

IEEE Trans. Serv. Comput.

Publications

Ahmed Abdulaal, Adamos Hadjivasiliou, Nina Montaña Brown, Tiantian He, Ayodeji Ijishakin, Ivana Drobnjak, Daniel C. Castro, Daniel C. Alexander
Causal Modelling Agents: Causal Graph Discovery through Synergising Metadata- and Data-driven Reasoning. ICLR (2024)
Haicang Zhou, Weiming Huang, Yile Chen, Tiantian He, Gao Cong, Yew-Soon Ong
Road Network Representation Learning with the Third Law of Geography. CoRR (2024)
Tiantian He, Yang Liu, Yew-Soon Ong, Xiaohu Wu, Xin Luo
Polarized message-passing in graph neural networks. Artif. Intell. 331 (2024)
Fanghui Bi, Tiantian He, Xin Luo
A Fast Nonnegative Autoencoder-Based Approach to Latent Feature Analysis on High-Dimensional and Incomplete Data. IEEE Trans. Serv. Comput. 17 (3) (2024)
Shanli Tan, Hao Cheng, Xiaohu Wu, Han Yu, Tiantian He, Yew Soon Ong, Chongjun Wang, Xiaofeng Tao
FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants. AAAI (2024)
Tiantian He, Elinor Thompson, Anna Schroder, Neil P. Oxtoby, Ahmed Abdulaal, Frederik Barkhof, Daniel C. Alexander
A coupled-mechanisms modelling framework for neurodegeneration. CoRR (2023)
Lizhong Yao, Tiantian He, Haijun Luo
Piggybacking on past problem for faster optimization in aluminum electrolysis process design. Eng. Appl. Artif. Intell. 126 (2023)
Fanghui Bi, Tiantian He, Yuetong Xie, Xin Luo
Two-Stream Graph Convolutional Network-Incorporated Latent Feature Analysis. IEEE Trans. Serv. Comput. 16 (4) (2023)
Yu Xie, Yanfeng Liang, Maoguo Gong, A. Kai Qin, Yew-Soon Ong, Tiantian He
Semisupervised Graph Neural Networks for Graph Classification. IEEE Trans. Cybern. 53 (10) (2023)
Shanli Tan, Hao Cheng, Xiaohu Wu, Han Yu, Tiantian He, Yew-Soon Ong, Chongjun Wang, Xiaofeng Tao
FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants. CoRR (2023)
Tiantian He, Elinor Thompson, Anna Schroder, Neil P. Oxtoby, Ahmed Abdulaal, Frederik Barkhof, Daniel C. Alexander
A Coupled-Mechanisms Modelling Framework for Neurodegeneration. MICCAI (8) (2023)
Jiemei Chen, Tiantian He, Leiyu Qi, Ping Zhong, Gang Li, Fan Pan, Peiyu He, Yun Zheng
An investigation of effects of a non-repetitive preferred music on physiological responses amongst a group of chronic tinnitus patients. Biomed. Signal Process. Control. 85 (2023)
Lizhong Yao, Wei Ding, Tiantian He, Shouxin Liu, Ling Nie
A multiobjective prediction model with incremental learning ability by developing a multi-source filter neural network for the electrolytic aluminium process. Appl. Intell. 52 (15) (2022)
Zhendong Guo, Yew-Soon Ong, Tiantian He, Haitao Liu
Co-Learning Bayesian Optimization. IEEE Trans. Cybern. 52 (9) (2022)
Tiantian He, Zhibin Li, Yongshun Gong, Yazhou Yao, Xiushan Nie, Yilong Yin
Exploring Linear Feature Disentanglement for Neural Networks. ICME (2022)
Tiantian He, Haicang Zhou, Yew-Soon Ong, Gao Cong
Not All Neighbors Are Worth Attending to: Graph Selective Attention Networks for Semi-supervised Learning. CoRR (2022)
Fanghui Bi, Tiantian He, Xin Luo
A Two-Stream Light Graph Convolution Network-based Latent Factor Model for Accurate Cloud Service QoS Estimation. ICDM (2022)
Tiantian He, Lu Bai, Yew-Soon Ong
Vicinal Vertex Allocation for Matrix Factorization in Networks. IEEE Trans. Cybern. 52 (8) (2022)
Tiantian He, Zhibin Li, Yongshun Gong, Yazhou Yao, Xiushan Nie, Yilong Yin
Exploring Linear Feature Disentanglement For Neural Networks. CoRR (2022)
Tiantian He, Yew-Soon Ong, Pengwei Hu
. Neurocomputing 453 (2021)
Wei Ding, Lizhong Yao, Yanyan Li, Wei Long, Jun Yi, Tiantian He
Dynamic evolutionary model based on a multi-sampling inherited HAPFNN for an aluminium electrolysis manufacturing system. Appl. Soft Comput. 99 (2021)
Tiantian He, Yew Soon Ong, Lu Bai
Learning Conjoint Attentions for Graph Neural Nets. NeurIPS (2021)
Lun Hu, Xiangyu Pan, Hong Yan, Pengwei Hu, Tiantian He
Exploiting higher-order patterns for community detection in attributed graphs. Integr. Comput. Aided Eng. 28 (2) (2021)
Tiantian He, Lu Bai, Yew-Soon Ong
Graph Joint Attention Networks. CoRR (2021)
Lizhong Yao, Tiantian He
Fuzzy Community Detection with Multi-View Correlated Topics. WI/IAT (Workshop/Special Session) (2021)
Tiantian He, Lu Bai, Yew-Soon Ong
Relational Thematic Clustering with Mutually Preferred Neighbors. CoRR (2020)
Xiaobing Han, Tiantian He, Yew-Soon Ong, Yanfei Zhong
Precise object detection using adversarially augmented local/global feature fusion. Eng. Appl. Artif. Intell. 94 (2020)
Jiemei Chen, Fan Pan, Ping Zhong, Tiantian He, Leiyu Qi, Jingzhe Lu, Peiyu He, Yun Zheng
An Automatic Method to Develop Music With Music Segment and Long Short Term Memory for Tinnitus Music Therapy. IEEE Access 8 (2020)
Lu Bai, Yew-Soon Ong, Tiantian He, Abhishek Gupta
Multi-task gradient descent for multi-task learning. Memetic Comput. 12 (4) (2020)
Tiantian He, Yang Liu, Tobey H. Ko, Keith C. C. Chan, Yew-Soon Ong
Contextual Correlation Preserving Multiview Featured Graph Clustering. IEEE Trans. Cybern. 50 (10) (2020)
Zaixin Yang, Tiantian He, Li Song, Rong Xie, Xiao Gu
An Improved QoE Evaluation Model for HTTP Adaptive Streaming. VCIP (2019)
Lu Bai, Yew-Soon Ong, Tiantian He, Abhishek Gupta
A Multi-Task Gradient Descent Method for Multi-Label Learning. CoRR (2019)
Tiantian He, Keith C. C. Chan
Measuring Boundedness for Protein Complex Identification in PPI Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (3) (2019)
Tiantian He, Lu Bai, Yew-Soon Ong
Manifold Regularized Stochastic Block Model. ICTAI (2019)
Tiantian He, Rong Xie, Jia Su, Xin Tang, Li Song
A No Reference Bitstream-Based Video Quality Assessment Model for H.265/HEVC and H.264/AVC. BMSB (2018)
Tiantian He, Lun Hu, Keith C. C. Chan, Pengwei Hu
Learning Latent Factors for Community Identification and Summarization. IEEE Access 6 (2018)
Tiantian He, Keith C. C. Chan
Discovering Fuzzy Structural Patterns for Graph Analytics. IEEE Trans. Fuzzy Syst. 26 (5) (2018)
Tiantian He, Keith C. C. Chan, Libin Yang
Clustering in Networks with Multi-Modality Attributes. WI (2018)
Pengwei Hu, Zhu-Hong You, Tiantian He, Shaochun Li, Shuhang Gu, Keith C. C. Chan
Learning Latent Patterns in Molecular Data for Explainable Drug Side Effects Prediction. BIBM (2018)
Tobey H. Ko, Zhonglei Gu, Tiantian He, Yang Liu
Towards Learning Emotional Subspace. MediaEval (2018)
Pengwei Hu, Zhaomeng Niu, Tiantian He, Keith C. C. Chan
Learning Deep Representations in Large Integrated Network for Graph Clustering. AIKE (2018)
Yan-Xing Hu, Jane Jia You, James N. K. Liu, Tiantian He
An eigenvector based center selection for fast training scheme of RBFNN. Inf. Sci. 428 (2018)
Tiantian He, Keith C. C. Chan
MISAGA: An Algorithm for Mining Interesting Subgraphs in Attributed Graphs. IEEE Trans. Cybern. 48 (5) (2018)
Tiantian He, Keith C. C. Chan
Evolutionary Graph Clustering for Protein Complex Identification. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (3) (2018)
Tiantian He, Keith C. C. Chan
Learning Latent Factors in Linked Multi-modality Data. ISMIS (2018)
Pengwei Hu, Tiantian He, Keith C. C. Chan, Henry Leung
Deep Fusion of Multiple Networks for Learning Latent Social Communities. ICTAI (2017)
Tiantian He, Yankai Liu, Rong Xie, Xin Tang, Li Song
Evaluation of No Reference Bitstream-based Video Quality Assessment Methods. CoRR (2017)
Pengwei Hu, Keith C. C. Chan, Tiantian He
Deep Graph Clustering in Social Network. WWW (Companion Volume) (2017)
Tiantian He, Keith C. C. Chan
Evolutionary community detection in social networks. IEEE Congress on Evolutionary Computation (2014)