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He Tiantian

scientist---he-tiantian

Research Area
  • Artificial Intelligence
  • Graph Neural Networks
  • Graph Clustering
  • Data Mining

Award

  • Best Paper Award--31st IEEE International Conference on Tools with Artificial Intelligence (ICTAI'19)

Grants

  • NSFC 61802317: Protein Complex Identification Based on Convergent Clustering Models (2019-2021)

Publications

1. F. Bi, T.T. He, and X. Luo, “A Two-Stream Light Graph Convolution Network-Based Latent Factor Model for Accurate Cloud Service Qos Estimation,” 22nd IEEE International Conference on Data Mining (ICDM 2022), 2022.

2. T.T. He, Y.S. Ong, and L. Bai, “Learning Conjoint Attentions for Graph Neural Nets,” Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), 2021.

3. F. Bi, T.T. He, and X. Luo, “Two-Stream Graph Convolutional Network-Incorporated Latent Feature Analysis,” IEEE Transactions on Services Computing, 2023 (Accepted).

4. Z. Guo, Y.S. Ong, T.T. He, and H. Liu, “Co-Learning Bayesian Optimization,” IEEE Transactions on Cybernetics, vol. 52, no. 9, pp. 9820-9833, 2022.

5. Y. Xie, Y. Liang, M. Gong, Y.S. Ong, K. Qin, and T.T. He, “Semi-Supervised Graph Neural Networks for Graph Classification,” IEEE Transactions on Cybernetics, 2022 (In press).

6. T.T. He, L. Bai, and Y.S. Ong, “Vicinal Vertex Allocation for Matrix Factorization In Networks,” IEEE Transactions on Cybernetics, vol. 52, no. 8, pp. 8047-8060, 2022.

7. T.T. He, Y. Liu, T.H. Ko, K.C.C. Chan, and Y.S. Ong, "Contextual Correlation Preserving Multi-View Featured Graph Clustering," IEEE Transactions on Cybernetics, vol. 50, no. 10, pp. 4318 - 4331, 2020.

8. T.T. He, L. Bai, and Y.S. Ong, "Manifold Regularized Stochastic Block Model," IEEE International Conference on Tools with Artificial Intelligence (ICTAI'19), 2019.

9. T.T. He, and K.C.C. Chan, “Discovering Fuzzy Structural Patterns for Graph Analytics,” IEEE Transactions on Fuzzy Systems, vol. 26, no.5, pp. 2785-2796, 2018.

10. P. Hu, Z. You, T.T. He, S Li, S Gu, and K.C.C. Chan, "Learning Latent Patterns in Molecular Data for Explainable Drug Side Effects Prediction," IEEE International Conference on Bioinformatics and Biomedicine (BIBM'18), 2018.

Research Services

Invited reviewer: 

  • IEEE Transactions on Cybernetics
  • IEEE Transactions on Fuzzy Systems
  • IEEE Transactions on Knowledge and Data Engineering
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE/ACM Transactions on Computational Biology and Bioinformatics
  • IEEE Transactions on Emerging Topics in Computational Intelligence
  • IEEE Transactions on Network Science and Engineering
  • IEEE Transactions on Artificial Intelligence
  • IEEE/CAA Journal of Automatica Sinica
  • Knowledge and Information Systems
  • Briefings in Bioinformatics
  • Bioinformatics
  • Memetic Computing
  • Information Sciences

Conference/Workshop Organisation:

  • PC Member--IEEE/WIC/ACM WI AI4SG Workshop 2021
  • PC Member--IJCAI DCM Workshop 2020
  • PC Member--31st International Conference on Tools with Artificial Intelligence (ICTAI'19)
  • Session Chair--2018 International Symposium on Methodologies for Intelligent Systems (ISMIS'18)

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