Insoo Chung (정인수)

My name is Insoo Chung, and I am interested in applying efficient NN methods to run AI on tiny devices :)

• Now: @Meta, I work on LLM-finetuning for ad creatives personalization with goal to optimize for click performances and revenue

• Previously: @Qualcommm and @Samsung, I worked on model optimization (quantization, knowledge distillation, pruning), machine translation, and gneral natural language domain - published to EMNLP (co-1st), ACL (2nd), WMT, ICASSP

1. Hyo Jung Han*,  Seok Chan Ahn*, Yoonjung Choi, Insoo Chung, Sangha Kim, and Kyunghyun Cho. 2021. Monotonic Simultaneous Translation with Chunk-wise Reordering and Refinement. In Proceedings of the Sixth Conference on Machine Translation (WMT2021). [pdf]

2. Insoo Chung*, Byeongwook Kim*, Yoonjung Choi, Se Jung Kwon, Yongkwon Jeon, Baesung Park, Sangha Kim and Dongsoo Lee. 2020. Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation. In Findings of the Association for Computational Linguistics: EMNLP 2020 (Findings of EMNLP2020). [pdf] [slides]

3. Sathish Indurthi, Houjeung Han, Nikhil Lakumarapu, Beomseok Lee, Insoo Chung, Sangha Kim and Chanwoo Kim. 2020. End-end Speech-to-Text Translation with Modality Agnostic Meta-Learning. In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2020, short). [pdf]

4. Sathish Indurthi, Insoo Chung, Sangha Kim. 2019. Look Harder: A Neural Machine Translation Model with Hard Attention. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL2019, short). [pdf]