Zhiting Hu

According to our database1, Zhiting Hu authored at least 73 papers between 2013 and 2019.

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Bibliography

2019
Target-Guided Open-Domain Conversation.
CoRR, 2019

Knowledge-driven Encode, Retrieve, Paraphrase for Medical Image Report Generation.
CoRR, 2019

Learning Hierarchical Representations of Electronic Health Records for Clinical Outcome Prediction.
CoRR, 2019

Toward Unsupervised Text Content Manipulation.
CoRR, 2019

Text Infilling.
CoRR, 2019

AutoLoss: Learning Discrete Schedule for Alternate Optimization.
Proceedings of the 7th International Conference on Learning Representations, 2019

Connecting the Dots Between MLE and RL for Sequence Generation.
Proceedings of the Deep Reinforcement Learning Meets Structured Prediction, 2019

Target-Guided Open-Domain Conversation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Connecting the Dots Between MLE and RL for Sequence Generation.
CoRR, 2018

Structured Content Preservation for Unsupervised Text Style Transfer.
CoRR, 2018

AutoLoss: Learning Discrete Schedules for Alternate Optimization.
CoRR, 2018

Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation.
CoRR, 2018

Deep Generative Models with Learnable Knowledge Constraints.
CoRR, 2018

Unsupervised Text Style Transfer using Language Models as Discriminators.
CoRR, 2018

Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation.
CoRR, 2018

Automatic Article Commenting: the Task and Dataset.
CoRR, 2018

Unsupervised Text Style Transfer using Language Models as Discriminators.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Symbolic Graph Reasoning Meets Convolutions.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Deep Generative Models with Learnable Knowledge Constraints.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Neural Memory Streaming Recommender Networks with Adversarial Training.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

On Unifying Deep Generative Models.
Proceedings of the 6th International Conference on Learning Representations, 2018

Automatic Article Commenting: the Task and Dataset.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Learning Scalable Deep Kernels with Recurrent Structure.
J. Mach. Learn. Res., 2017

Towards Automated ICD Coding Using Deep Learning.
CoRR, 2017

Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters.
CoRR, 2017

Improved Variational Autoencoders for Text Modeling using Dilated Convolutions.
CoRR, 2017

Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification.
CoRR, 2017

Recurrent Topic-Transition GAN for Visual Paragraph Generation.
CoRR, 2017

On Unifying Deep Generative Models.
CoRR, 2017

Controllable Text Generation.
CoRR, 2017

Efficient Correlated Topic Modeling with Topic Embedding.
CoRR, 2017

Nonparametric Variational Auto-encoders for Hierarchical Representation Learning.
CoRR, 2017

Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters.
Proceedings of the 2017 USENIX Annual Technical Conference, 2017

Efficient Correlated Topic Modeling with Topic Embedding.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Improved Variational Autoencoders for Text Modeling using Dilated Convolutions.
Proceedings of the 34th International Conference on Machine Learning, 2017

Toward Controlled Generation of Text.
Proceedings of the 34th International Conference on Machine Learning, 2017

Dropout with Expectation-linear Regularization.
Proceedings of the 5th International Conference on Learning Representations, 2017

Recurrent Topic-Transition GAN for Visual Paragraph Generation.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Nonparametric Variational Auto-Encoders for Hierarchical Representation Learning.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Neural Machine Translation with Recurrent Attention Modeling.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Learning Concept Taxonomies from Multi-modal Data.
CoRR, 2016

Neural Machine Translation with Recurrent Attention Modeling.
CoRR, 2016

Stochastic Variational Deep Kernel Learning.
CoRR, 2016

Dropout with Expectation-linear Regularization.
CoRR, 2016

Joint Embedding of Hierarchical Categories and Entities for Concept Categorization and Dataless Classification.
CoRR, 2016

Joint Embeddings of Hierarchical Categories and Entities.
CoRR, 2016

Harnessing Deep Neural Networks with Logic Rules.
CoRR, 2016

Learning Scalable Deep Kernels with Recurrent Structure.
CoRR, 2016

Stochastic Variational Deep Kernel Learning.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Structured Knowledge Tracing Models for Student Assessment on Coursera.
Proceedings of the Third ACM Conference on Learning @ Scale, 2016

Grounding Topic Models with Knowledge Bases.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Discovering interpretable geo-social communities for user behavior prediction.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Deep Neural Networks with Massive Learned Knowledge.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Joint Embedding of Hierarchical Categories and Entities for Concept Categorization and Dataless Classification.
Proceedings of the COLING 2016, 2016

Deep Kernel Learning.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Learning Concept Taxonomies from Multi-modal Data.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Harnessing Deep Neural Networks with Logic Rules.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Dynamic User Modeling in Social Media Systems.
ACM Trans. Inf. Syst., 2015

Modeling Location-Based User Rating Profiles for Personalized Recommendation.
TKDD, 2015

Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines.
CoRR, 2015

Deep Kernel Learning.
CoRR, 2015

Community Level Diffusion Extraction.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Large-scale Distributed Dependent Nonparametric Trees.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Entity Hierarchy Embedding.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
LCARS: A Spatial Item Recommender System.
ACM Trans. Inf. Syst., 2014

A temporal context-aware model for user behavior modeling in social media systems.
Proceedings of the International Conference on Management of Data, 2014

User Group Oriented Temporal Dynamics Exploration.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Community Specific Temporal Topic Discovery from Social Media.
CoRR, 2013

LCARS: a location-content-aware recommender system.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013


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