Scholar
Xiang Kong
Google Scholar ID: 7nuog20AAAAJ
Carnegie Mellon University
Citations & Impact
Citations
2,336
H-index
20
i10-index
24
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including but not limited to:
- - Luna: Linear Unified Nested Attention (NeurIPS 2021)
- - Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade (ACL 2021 Findings)
- - Multilingual Neural Machine Translation with Deep Encoder and Multiple Shallow Decoders (EACL 2021)
- - Decoupling Global and Local Representations from/for Image Generation (ICLR 2021)
- - Incorporating a local translation mechanism into non-autoregressive translation (EMNLP 2020)
- - An Empirical Exploration of Local Ordering Pre-training for Structured Learning (EMNLP 2020)
- - Deep Transformers with Latent Depth (NeurIPS 2020)
- - A Two-Step Approach for Implicit Event Argument Detection (ACL 2020)
- - SCDE: Sentence Cloze Dataset with High Quality Distractors From Examinations (ACL 2020)
- - Decompressing knowledge graph representations for link prediction (Preprint)
- - An adversarial approach to high-quality, sentiment-controlled neural dialogue generation (AAAI DEEP-DIAL 2019)
- - Macow: Masked convolutional generative flow (NeurIPS 2019)
- - Generalized data augmentation for low-resource translation (ACL 2019)
- - Neural machine translation with adequacy-oriented learning (AAAI 2019)
- - Fast and simple mixture of softmaxes with bpe and hybrid-lightrnn for language generation (AAAI 2019)
Research Experience
- Machine learning researcher at Apple.
Education
- Ph.D. from the School of Computer Science at CMU.
Background
- Machine learning researcher, focusing on deep generative models and natural language processing.
Co-authors