Dejiao Zhang

About me

I’m an applied scientist at Amazon Web Services (AWS).

I received my Ph.D. degree in the Electrical Engineering and Computer Science department from the University of Michigan in 2019, under the supervision of Prof. Laura Balzano.

PhD in Electrical Engineering: Systems, 2019

University of Michigan, Ann Arbor
B.S. in Information Engineering, 2013

Nanjing University of Information Science of Technology

(2014). Iterative Grassmannian Optimization for Robust Image Alignment. Journal of Image and Vision Computing.

(2022). Learning Dialogue Representations from Consecutive Utterances. North American Chapter of the Association for Computational Linguistics, NAACL 2022.

(2022). Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora. North American Chapter of the Association for Computational Linguistics, NAACL 2022.

(2022). Virtual Augmentation Supported Contrastive Learning of Sentence Representations. Findings of the Association for Computational Linguistics: ACL 2022.

(2021). Pairwise Supervised Contrastive Learning of Sentence Representations. Conference on Empirical Methods in Natural Language Processing, EMNLP 2021.

(2021). Supporting Clustering with Contrastive Learning. North American Chapter of the Association for Computational Linguistics, NAACL 2021.

(2020). Margin-aware Unsupervised Domain Adaptation for Cross-lingual Text Labeling. Findings of the Association for Computational Linguistics: EMNLP 2020.

(2018). Learning to Share: Simultaneous Parameter Tying and Sparsification in Deep Learning. Accepted by the Sixth International Conference on Learning Representations, ICLR 2018.

(2017). Matched Subspace Detection Using Compressively Sampled Data. Accepted by the 42nd IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017.

(2016). Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation. In Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, AISTATS 2016.

(2013). Iterative Online Subspace Learning for Robust Image Alignment. In IEEE Automatic Face and Gesture Recognition Conference, FG 2013.

(2017). Deep Unsupervised Clustering Using Mixture of Autoencoders. UMich Deep Blue Technical Report, 2017.

Graduate Student Instructor for EECS 598 (Reinforcement Learning)

2018/09/10 - 2018/12/31