Aston Zhang

According to our database1, Aston Zhang authored at least 31 papers between 2014 and 2020.

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Bibliography

2020
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing.
J. Mach. Learn. Res., 2020

CoCon: A Self-Supervised Approach for Controlled Text Generation.
CoRR, 2020

Controllable Variational Autoencoder.
CoRR, 2020

Transformer on a Diet.
CoRR, 2020

paper2repo: GitHub Repository Recommendation for Academic Papers.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2019
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing.
CoRR, 2019

Compositional De-Attention Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Quaternion Collaborative Filtering for Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Dive into Deep Learning for Natural Language Processing.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Parsimonious Morpheme Segmentation with an Application to Enriching Word Embeddings.
Proceedings of the 2019 IEEE International Conference on Big Data (Big Data), 2019

Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
SenseGAN: Enabling Deep Learning for Internet of Things with a Semi-Supervised Framework.
IMWUT, 2018

Expert Finding in Heterogeneous Bibliographic Networks with Locally-trained Embeddings.
CoRR, 2018

Deep Learning for the Internet of Things.
IEEE Computer, 2018

ApDeepSense: Deep Learning Uncertainty Estimation without the Pain for IoT Applications.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

2017
RDeepSense: Reliable Deep Mobile Computing Models with Uncertainty Estimations.
IMWUT, 2017

Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework.
CoRR, 2017

Email Category Prediction.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing.
Proceedings of the 26th International Conference on World Wide Web, 2017

DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework.
Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems, 2017

2016
Towards Mobile Query Auto-Completion: An Efficient Mobile Application-Aware Approach.
Proceedings of the 25th International Conference on World Wide Web, 2016

Free for All! Assessing User Data Exposure to Advertising Libraries on Android.
Proceedings of the 23rd Annual Network and Distributed System Security Symposium, 2016

Accelerated Stochastic Block Coordinate Descent with Optimal Sampling.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Exploiting temporal divergence of topic distributions for event detection.
Proceedings of the 2016 IEEE International Conference on Big Data, 2016

2015
Effective Social Graph Deanonymization Based on Graph Structure and Descriptive Information.
ACM Trans. Intell. Syst. Technol., 2015

adaQAC: Adaptive Query Auto-Completion via Implicit Negative Feedback.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Predicting Search Intent Based on Pre-Search Context.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Discovering de facto diagnosis specialties.
Proceedings of the 6th ACM Conference on Bioinformatics, 2015

2014
De-anonymizing social graphs via node similarity.
Proceedings of the 23rd International World Wide Web Conference, 2014

Privacy Risk in Anonymized Heterogeneous Information Networks.
Proceedings of the 17th International Conference on Extending Database Technology, 2014


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