Jianshu Chen

According to our database1, Jianshu Chen authored at least 67 papers between 2007 and 2019.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2019
DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension.
TACL, 2019

Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching.
Proceedings of the 7th International Conference on Learning Representations, 2019

Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Incorporating Structured Commonsense Knowledge in Story Completion.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Coupled Variational Bayes via Optimization Embedding.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation.
Proceedings of the 35th International Conference on Machine Learning, 2018

ReinforceWalk: Learning to Walk in Graph with Monte Carlo Tree Search.
Proceedings of the 6th International Conference on Learning Representations, 2018

XL-NBT: A Cross-lingual Neural Belief Tracking Framework.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Learning to Infer Power Grid Topologies: Performance and Scalability.
Proceedings of the 2018 IEEE Data Science Workshop, 2018

2017
CherryPick: Adaptively Unearthing the Best Cloud Configurations for Big Data Analytics.
Proceedings of the 14th USENIX Symposium on Networked Systems Design and Implementation, 2017

Unsupervised Sequence Classification using Sequential Output Statistics.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Stochastic Variance Reduction Methods for Policy Evaluation.
Proceedings of the 34th International Conference on Machine Learning, 2017

Character-level deep conflation for business data analytics.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Excess-Risk of Distributed Stochastic Learners.
IEEE Trans. Information Theory, 2016

Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval.
IEEE/ACM Trans. Audio, Speech & Language Processing, 2016

Learning to infer: A new variational inference approach for power grid topology identification.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

The 2015 NIST Language Recognition Evaluation: The Shared View of I2R, Fantastic4 and SingaMS.
Proceedings of the Interspeech 2016, 2016

Interpreting the prediction process of a deep network constructed from supervised topic models.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Efficient neural network architecture for topology identification in smart grid.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Deep Reinforcement Learning with a Natural Language Action Space.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Robust Power Control Under Location and Channel Uncertainty in Cognitive Radio Networks.
IEEE Wireless Commun. Letters, 2015

Dictionary Learning Over Distributed Models.
IEEE Trans. Signal Processing, 2015

On the Learning Behavior of Adaptive Networks - Part II: Performance Analysis.
IEEE Trans. Information Theory, 2015

On the Learning Behavior of Adaptive Networks - Part I: Transient Analysis.
IEEE Trans. Information Theory, 2015

Distributed Policy Evaluation Under Multiple Behavior Strategies.
IEEE Trans. Automat. Contr., 2015

End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

A Deep Embedding Model for Co-occurrence Learning.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014
On the Learning Behavior of Adaptive Networks.
PhD thesis, 2014

Identification of Outages in Power Systems With Uncertain States and Optimal Sensor Locations.
J. Sel. Topics Signal Processing, 2014

A New Method for Learning Deep Recurrent Neural Networks.
Proceedings of the 2nd International Conference on Learning Representations, 2014

Dictionary learning over large distributed models via dual-ADMM strategies.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Plant Image Analysis Machine Vision System in Greenhouse.
Proceedings of the Computer and Computing Technologies in Agriculture VIII, 2014

Sequence classification using the high-level features extracted from deep neural networks.
Proceedings of the IEEE International Conference on Acoustics, 2014

Online dictionary learning over distributed models.
Proceedings of the IEEE International Conference on Acoustics, 2014

Dynamic joint outage identification and state estimation in power systems.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

Line outage detection in power transmission networks via message passing algorithms.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
Stansfield Localization Algorithm: Theoretical Analysis and Distributed Implementation.
IEEE Wireless Commun. Letters, 2013

Cramer-Rao Bounds for Joint RSS/DoA-Based Primary-User Localization in Cognitive Radio Networks.
IEEE Trans. Wireless Communications, 2013

Diffusion Strategies for Adaptation and Learning over Networks: An Examination of Distributed Strategies and Network Behavior.
IEEE Signal Process. Mag., 2013

Distributed Pareto Optimization via Diffusion Strategies.
J. Sel. Topics Signal Processing, 2013

On distributed online classification in the midst of concept drifts.
Neurocomputing, 2013

Online learning and adaptation over networks: More information is not necessarily better.
Proceedings of the 2013 Information Theory and Applications Workshop, 2013

Research on Automatic Irrigation Algorithm of Strawberry Greenhouse Based on PLC.
Proceedings of the Computer and Computing Technologies in Agriculture VII, 2013

The Matching Research of Strawberry Diseases Image Features Based on KD-Tree Search Method.
Proceedings of the Computer and Computing Technologies in Agriculture VII, 2013

Distributed inference over regression and classification models.
Proceedings of the IEEE International Conference on Acoustics, 2013

Cooperative off-policy prediction of Markov decision processes in adaptive networks.
Proceedings of the IEEE International Conference on Acoustics, 2013

On the probability distribution of distributed optimization strategies.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

On the benefits of diffusion cooperation for distributed optimization and learning.
Proceedings of the 21st European Signal Processing Conference, 2013

Optimal joint detection and estimation in linear models.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
Diffusion Adaptation Strategies for Distributed Optimization and Learning Over Networks.
IEEE Trans. Signal Processing, 2012

Distributed pareto-optimal solutions via diffusion adaptation.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Beam coordination via diffusion adaptation over array networks.
Proceedings of the 13th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2012

On the generalization ability of distributed online learners.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Edge Geometric Measurement Based Principal Component Analysis in Strawberry Leaf Images.
Proceedings of the Computer and Computing Technologies in Agriculture VI, 2012

Distributed throughput optimization over P2P mesh networks using diffusion adaptation.
Proceedings of IEEE International Conference on Communications, 2012

Performance of diffusion adaptation for collaborative optimization.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Distributed learning via Diffusion adaptation with application to ensemble learning.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

On the limiting behavior of distributed optimization strategies.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011
Collaborative learning of mixture models using diffusion adaptation.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Bio-inspired cooperative optimization with application to bacteria motility.
Proceedings of the IEEE International Conference on Acoustics, 2011

Distributed optimization via diffusion adaptation.
Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011

2009
Analyzing amplify-and-forward and decode-and-forward cooperative strategies in Wyner's channel model.
Proceedings of the 2009 IEEE Wireless Communications and Networking Conference, 2009

2008
An Orthogonal Projection Approach for Blind Beamforming in Multipath CDMA Channels.
Proceedings of the Sixth Annual Conference on Communication Networks and Services Research (CNSR 2008), 2008

2007
Analysis of Time- and Space-domain Sampling for Probe Vehicle-based Traffic Information System.
Proceedings of the IEEE Intelligent Transportation Systems Conference, 2007


  Loading...