Scholar
Chunting Zhou
Google Scholar ID: mR5W7EgAAAAJ
Unknown affiliation
Citations & Impact
Citations
7,374
H-index
28
i10-index
32
Publications
20
Co-authors
20
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Towards a Unified View of Parameter-Efficient Transfer Learning, ICLR 2022 (Spotlight, 5%)
- Luna: Linear Unified Nested Attention, NeurIPS 2021
- Distributionally Robust Multilingual Machine Translation, EMNLP 2021
- Examining and Combating Spurious Features under Distribution Shift, ICML 2021
- Detecting Hallucinated Content in Conditional Neural Sequence Generation, ACL-Findings 2021
- Understanding Knowledge Distillation in Non-autoregressive Machine Translation, ICLR 2020
- FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow, EMNLP 2019
- Handling Syntactic Divergence in Low-Resource Machine Translation, EMNLP 2019
- Density Matching for Bilingual Word Embedding, NAACL 2019
- MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders, ICLR 2019
- Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations, EMNLP 2018
- StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing, ACL 2018
- Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction, ACL 2017
- Morphological Inflection Generation with Multi-space Variational Encoder-Decoders, ACL 2017
Research Experience
- Research Scientist at FAIR Seattle.
Education
- PhD, Language Technologies Institute, School of Computer Science, Carnegie Mellon University, May 2022, Advisor: Graham Neubig.
Background
- Research interest: efficient and scalable generative models; Field: Natural Language Processing.
Miscellany
- Contact: chunting.violet.zhou@gmail.com. Links to Google Scholar, Github, and Twitter are provided on the personal website.
