Chenguang Zhu

According to our database1, Chenguang Zhu authored at least 30 papers between 2008 and 2020.

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

Timeline

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising.
CoRR, 2020

2019
Make Lead Bias in Your Favor: A Simple and Effective Method for News Summarization.
CoRR, 2019

SIM: A Slot-Independent Neural Model for Dialogue State Tracking.
CoRR, 2019

Precise semantic history slicing through dynamic delta refinement.
Autom. Softw. Eng., 2019

Secure MISO Beamforming Optimization with Randomly Distributed Eavesdroppers and Interferers.
Proceedings of the 11th International Conference on Wireless Communications and Signal Processing, 2019

Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question Answering.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

A framework for checking regression test selection tools.
Proceedings of the 41st International Conference on Software Engineering, 2019

Multi-task Learning for Natural Language Generation in Task-Oriented Dialogue.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Parameter-free Sentence Embedding via Orthogonal Basis.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Embedding Imputation with Grounded Language Information.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Semantic Slicing of Software Version Histories.
IEEE Trans. Software Eng., 2018

SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering.
CoRR, 2018

Zero-training Sentence Embedding via Orthogonal Basis.
CoRR, 2018

Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Scientific Question Answering.
CoRR, 2018

Towards refactoring-aware regression test selection.
Proceedings of the 40th International Conference on Software Engineering, 2018

CSlicerCloud: a web-based semantic history slicing framework.
Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

FusionNet: Fusing via Fully-aware Attention with Application to Machine Comprehension.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
FHistorian: Locating Features in Version Histories.
Proceedings of the 21st International Systems and Software Product Line Conference, 2017

A dataset for dynamic discovery of semantic changes in version controlled software histories.
Proceedings of the 14th International Conference on Mining Software Repositories, 2017

Reducing inefficiencies in taxi systems.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Precise semantic history slicing through dynamic delta refinement.
Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering, 2016

2015
Polling one's friends: A graph theoretic view.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2012
Information diffusion and external influence in networks.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2010
Co-optimization of multiple relevance metrics in web search.
Proceedings of the 19th International Conference on World Wide Web, 2010

A novel click model and its applications to online advertising.
Proceedings of the Third International Conference on Web Search and Web Data Mining, 2010

2009
Inverse Time Dependency in Convex Regularized Learning.
Proceedings of the ICDM 2009, 2009

P-packSVM: Parallel Primal grAdient desCent Kernel SVM.
Proceedings of the ICDM 2009, 2009

A general magnitude-preserving boosting algorithm for search ranking.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

To divide and conquer search ranking by learning query difficulty.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008


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