Lingpeng Kong
Research Scientist at The University of Hong Kong
United Kingdom
Summary
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Rockstar🎓
Top SchoolLingpeng Kong is a research scientist and assistant professor with 13 years of experience at the intersection of natural language processing and machine learning, currently based in the United Kingdom. Trained with MS and PhD studies at Carnegie Mellon University, he combines rigorous academic grounding with practical toolkit development. He has contributed to the widely used DyNet toolkit, improving an RNN-based segmentation model with pretrained embeddings, OOV handling, and context-aware features—work that reflects both deep modeling skill and attention to engineering robustness. His profile blends research and software engineering: he publishes and ships models while refining decoding and integration details that matter in production. Colleagues value his ability to translate advanced NLP methods into reliable code and to bridge open-source projects with academic innovation.
13 years of coding experience
Master of Science (MS), Computer Science, Master of Science (MS), Computer Science at Carnegie Mellon University
Github Skills (11)
neural-network10
machine-learning10
rnn-model10
dynet10
n10
segmentation9
image-segmentation9
word-embeddings9
nlp9
c-language8
cprogramming-language8
Programming languages (2)
Github contributions (5)
clab/dynet
Oct 2015 - Jan 2017
DyNet: The Dynamic Neural Network Toolkit
Role in this project:
ML Engineer
ML EngineerContributions:22 commits, 7 PRs, 17 pushes in 1 year 3 months
Contributions summary:Lingpeng primarily contributed to the development and improvement of a segmentation Recurrent Neural Network (RNN) model within the DyNet toolkit. Their work included addressing dictionary-related issues like handling out-of-vocabulary words, implementing the use of pretrained word embeddings, and adding features for context-aware segmentations. The user also made incremental improvements to the model's decoding process. They demonstrate their familiarity with the DyNet library and neural network model development.
dynetdynamic-neural-networkdeep-learningneural-networksmachine-learning
ikekonglp/DiscoParser
Mar 2015 - Jun 2015
Contributions:26 commits in 3 months
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