Projects per year
Personal profile
Biography
I am a research fellow in the Faculty of Information Technology at Monash University in Australia, working with the group of Data Science. I obtained my MS and BS degrees in Computer Science from The University of Electronic Science and Technology of China (UESTC) in 2018 and Northeast Normal University (NENU) in 2015, respectively.
My research ranges from Machine Learning, Deep Learning, Computer Vision (Images and Videos), Hash and Quantisation, etc. Specifically, I am mainly focusing on detecting visual relationships from images.
Research area keywords
- Image Retrieval
- Visual Relationship Detection
- Scene Graph Generation
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 1 Finished
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Exploiting scene graphs for Human-Object Interaction detection
He, T., Gao, L., Song, J. & Li, Y-F., 2021, Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021. Mortensen, E. (ed.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 15984-15993 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile -
Semisupervised network embedding with differentiable deep quantization
He, T., Gao, L., Song, J. & Li, Y-F., 8 Dec 2021, (Accepted/In press) In: IEEE Transactions on Neural Networks and Learning Systems. 12 p.Research output: Contribution to journal › Article › Research › peer-review
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Learning from the scene and borrowing from the rich: tackling the long tail in scene graph generation
He, T., Gao, L., Song, J., Cai, J. & Li, Y. F., 2020, Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence. Bessiere, C. (ed.). Marina del Rey CA USA: Association for the Advancement of Artificial Intelligence (AAAI), p. 587-593 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2021-January).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile2 Citations (Scopus) -
One network for multi-domains: domain adaptive hashing with intersectant generative adversarial networks
He, T., Li, Y. F., Gao, L., Zhang, D. & Song, J., 2019, Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence. Kraus, S. (ed.). Marina del Rey CA USA: Association for the Advancement of Artificial Intelligence (AAAI), p. 2477-2483 7 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile2 Citations (Scopus) -
SNEQ: semi-supervised attributed network embedding with attention-based quantisation
He, T., Gao, L., Song, J., Wang, X., Huang, K. & Li, Y-F., 2020, Proceedings of The Thirty-Fourth AAAI Conference on Artificial Intelligence. Conitzer, V. & Sha, F. (eds.). Palo Alto CA USA: Association for the Advancement of Artificial Intelligence (AAAI), p. 4091-4098 8 p. (AAAI Conference on Artificial Intelligence; vol. 34, no. 4).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile3 Citations (Scopus)