I have graduated and joined the wonderful and super talented team at Reka AI. We are hiring from the best to join us!
I was fortunate to be advised by Prof. Barnabás Póczos and Prof. David Woodruff . I have broad interests in Machine Learning and Deep Learning, with theory and applications in Natural Language Processing and Computer Vision. I am also interested in Optimization, Large-Scale Machine Learning systems and Numerical Methods.
Prior to starting my Ph.D., I received my Masters in Language Technologies at the same department. Before that, I had graduated in Computer Science in Auburn University with a focus on Big Data and Distributed Systems.
I worked as a Research Intern at at Boeing in 2017, Microsoft in Summer 2021 and 2022, and Applied Scientist Intern at Amazon AWS in Fall 2022.
Email: hai [at] reka [dot] ai
@article{hpham23thesis, title={Towards Efficient and Scalable Representation Learning}, author={Pham, Hai}, journal={Ph.D. Thesis, School of Computer Science, Carnegie Mellon University}, year={2023}, url={Thesis_final.pdf}, } @inproceedings{woodruff2021optimal, title={Optimal Sketching for Trace Estimation}, author={Jiang, with Shuli and Woodruff, David P and Zhang, Richard}, booktitle={Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS) (SPOTLIGHT)}, year={2021}, url={https://arxiv.org/abs/2111.00664.pdf}, code={https://github.com/11hifish/OptSketchTraceEst} } @inproceedings{lyu2021styleptb, title={StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer}, author={Lyu*, Yiwei and Liang*, Paul Pu and Pham*, Hai and Hovy, Eduard and Póczos, Barnabás and Salakhutdinov, Ruslan and Morency, Louis-Philippe}, booktitle={Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)}, year={2021}, url={https://arxiv.org/pdf/2104.05196.pdf}, code={https://github.com/lvyiwei1/StylePTB/} } @inproceedings{pham2020robust, title={Robust Handwriting Recognition with Limited and Noisy Data}, author={Pham, Hai and Setlur, Amrith and Dingliwal, Saket and Lin, Tzu-Hsiang and Póczos, Barnabás and Huang, Kang and Li, Zhuo and Lim, Jae and McCormack, Collin and Vu, Tam}, booktitle={2020 17th International Conference on Frontiers in Handwriting Recognition (ICFHR)}, pages={301--306}, year={2020}, organization={IEEE}, url={https://arxiv.org/pdf/2008.08148.pdf} } @inproceedings{hoang2020revisiting, title={Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes}, author={Hoang, with Quang Minh and Hoang, Trong Nghia and Woodruff, David P}, booktitle={Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS)}, year={2020}, url={https://arxiv.org/pdf/2011.08432.pdf}, code={https://github.com/hqminh/gp_sketch_nips} } @inproceedings{pham2019found, title={Found in translation: Learning robust joint representations by cyclic translations between modalities}, author={Pham*, Hai and Liang*, Paul Pu and Manzini, Thomas and Morency, Louis-Philippe and Póczos, Barnabás }, booktitle={Proceedings of the AAAI Conference on Artificial Intelligence}, volume={33}, number={01}, pages={6892--6899}, year={2019}, url={https://arxiv.org/pdf/1812.07809.pdf}, code={https://github.com/hainow/MCTN} } @inproceedings{pham2018seq2seq2sentiment, title={Seq2seq2sentiment: Multimodal sequence to sequence models for sentiment analysis}, author={Pham, Hai and Manzini, Thomas and Liang, Paul Pu and Póczos, Barnabás }, booktitle={Proceedings of Grand Challenge and Workshop on Human Multimodal Language (Challenge-HML)}, year={2018}, url={https://arxiv.org/pdf/1807.03915.pdf} } @inproceedings{zhou2015sfmapreduce, title={Sfmapreduce: An optimized mapreduce framework for small files}, author={Zhou, Fang and Pham, Hai and Yue, Jianhui and Zou, Hao and Yu, Weikuan}, booktitle={2015 IEEE International Conference on Networking, Architecture and Storage (NAS)}, pages={23--32}, year={2015}, organization={IEEE}, url={https://www.cs.fsu.edu/~yuw/pubs/2015-NAS-Yu.pdf} } @article{pham2016assessment, title={Assessment of Multiple Ingest Strategies for Accumulo Key-Value Store}, author={Pham, Hai}, year={2016}, journal={Master's Thesis, Computer Science, Auburn University}, url={https://etd.auburn.edu/bitstream/handle/10415/5135/hpham%20-%20Grad%20Thesis%20-%20final.pdf?sequence=2&isAllowed=y} }