Conference (selected)

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

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

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

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

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

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

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

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

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(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.

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

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Teaching

Graduate Student Instructor for EECS 598 (Reinforcement Learning)

2018/09/10 - 2018/12/31