Kai Fan

Orcid: 0000-0002-8256-0807

Affiliations:
  • Alibaba DAMO Academy, Machine Intelligence Technology Lab, Hangzhou, China
  • Alibaba Group Inc., Sunnyvale, CA, USA
  • Duke University, Compuational Biology and Bioinformatics, Durham, NC, USA (former)


According to our database1, Kai Fan authored at least 39 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
StrokeNet: Stroke Assisted and Hierarchical Graph Reasoning Networks.
IEEE Trans. Multim., 2023

Neural Machine Translation with Dynamic Graph Convolutional Decoder.
CoRR, 2023

Adapting Offline Speech Translation Models for Streaming with Future-Aware Distillation and Inference.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Translate the Beauty in Songs: Jointly Learning to Align Melody and Translate Lyrics.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A Simple Concatenation can Effectively Improve Speech Translation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022
Unifying Cross-lingual Summarization and Machine Translation with Compression Rate.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Cross-modal Representation Learning and Relation Reasoning for Bidirectional Adaptive Manipulation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality?
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Efficient Cluster-Based $k$-Nearest-Neighbor Machine Translation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Structural Supervision for Word Alignment and Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Bridging the Gap: Cross-Lingual Summarization with Compression Rate.
CoRR, 2021

Explore Hierarchical Relations Reasoning and Global Information Aggregation.
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

Manifold Adversarial Augmentation for Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Computer Assisted Translation with Neural Quality Estimation and Automatic Post-Editing.
CoRR, 2020

A Practical Framework for Relation Extraction with Noisy Labels Based on Doubly Transitional Loss.
CoRR, 2020

Neural Zero-Inflated Quality Estimation Model for Automatic Speech Recognition System.
Proceedings of the Interspeech 2020, 2020

Long-Short Term Masking Transformer: A Simple but Effective Baseline for Document-level Neural Machine Translation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Computer Assisted Translation with Neural Quality Estimation and Auotmatic Post-Editing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019
Neural Zero-Inflated Quality Estimation Model For Automatic Speech Recognition System.
CoRR, 2019

InverseNet: Solving Inverse Problems of Multimedia Data with Splitting Networks.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Unsupervised Multi-Modal Neural Machine Translation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Lattice Transformer for Speech Translation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Improving Distantly Supervised Relation Extraction with Neural Noise Converter and Conditional Optimal Selector.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

"Bilingual Expert" Can Find Translation Errors.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
"Bilingual Expert" Can Find Translation Errors.
CoRR, 2018

Alibaba Submission for WMT18 Quality Estimation Task.
Proceedings of the Third Conference on Machine Translation: Shared Task Papers, 2018

Alibaba Speech Translation Systems for IWSLT 2018.
Proceedings of the 15th International Conference on Spoken Language Translation, 2018

Zero-Shot Learning via Class-Conditioned Deep Generative Models.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Deep Generative Models and Biological Applications.
PhD thesis, 2017

InverseNet: Solving Inverse Problems with Splitting Networks.
CoRR, 2017

An inner-loop free solution to inverse problems using deep neural networks.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Adversarial Feature Matching for Text Generation.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Boosting Variational Inference.
CoRR, 2016

Towards Unifying Hamiltonian Monte Carlo and Slice Sampling.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Triply Stochastic Variational Inference for Non-linear Beta Process Factor Analysis.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

A Unifying Variational Inference Framework for Hierarchical Graph-Coupled HMM with an Application to Influenza Infection.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Fast Second Order Stochastic Backpropagation for Variational Inference.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Hierarchical Graph-Coupled HMMs for Heterogeneous Personalized Health Data.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015


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