# Jiaming Xu

According to our database

Collaborative distances:

^{1}, Jiaming Xu authored at least 81 papers between 2010 and 2019.Collaborative distances:

## Timeline

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## Bibliography

2019

Efficient Identification of Corn Cultivation Area with Multitemporal Synthetic Aperture Radar and Optical Images in the Google Earth Engine Cloud Platform.

Remote Sensing, 2019

Securing Distributed Gradient Descent in High Dimensional Statistical Learning.

POMACS, 2019

Concept learning through deep reinforcement learning with memory-augmented neural networks.

Neural Networks, 2019

Seeded Graph Matching via Large Neighborhood Statistics.

Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms, 2019

2018

Deep Manifold Learning Combined With Convolutional Neural Networks for Action Recognition.

IEEE Trans. Neural Netw. Learning Syst., 2018

Regional Daily ET Estimates Based on the Gap-Filling Method of Surface Conductance.

Remote Sensing, 2018

Multi-Gait Recognition Based on Attribute Discovery.

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Distant supervision for relation extraction with hierarchical selective attention.

Neural Networks, 2018

Learning to activate logic rules for textual reasoning.

Neural Networks, 2018

Learning from Comparisons and Choices.

Journal of Machine Learning Research, 2018

Recovering a hidden community beyond the Kesten-Stigum threshold in O(|E|log*|V|) time.

J. Applied Probability, 2018

Differential Power Analysis of 8-Bit Datapath AES for IoT Applications.

Proceedings of the 17th IEEE International Conference On Trust, 2018

A Compact, Lightweight and Low-Cost 8-Bit Datapath AES Circuit for IoT Applications in 28nm CMOS.

Proceedings of the 17th IEEE International Conference On Trust, 2018

Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent.

Proceedings of the Abstracts of the 2018 ACM International Conference on Measurement and Modeling of Computer Systems, 2018

Integrating Online Learning and Adaptive Control in Queueing Systems with Uncertain Payoffs.

Proceedings of the 2018 Information Theory and Applications Workshop, 2018

Improving Speech Separation with Adversarial Network and Reinforcement Learning.

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Distilled Binary Neural Network for Monaural Speech Separation.

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Listen, Think and Listen Again: Capturing Top-down Auditory Attention for Speaker-independent Speech Separation.

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Rates of Convergence of Spectral Methods for Graphon Estimation.

Proceedings of the 35th International Conference on Machine Learning, 2018

Cascaded Mutual Modulation for Visual Reasoning.

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

A 0.46V-1.1V Transition-Detector with In-Situ Timing-Error Detection and Correction Based on Pulsed-Latch Design in AES Accelerator.

Proceedings of the IEEE Asian Solid-State Circuits Conference, 2018

Modeling Attention and Memory for Auditory Selection in a Cocktail Party Environment.

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Self-Taught convolutional neural networks for short text clustering.

Neural Networks, 2017

Multi-gait recognition using hypergraph partition.

Mach. Vis. Appl., 2017

Submatrix localization via message passing.

Journal of Machine Learning Research, 2017

Joint entity and relation extraction based on a hybrid neural network.

Neurocomputing, 2017

Hybrid Attention Networks for Chinese Short Text Classification.

Computación y Sistemas, 2017

Constructing a Chinese Conversation Corpus for Sentiment Analysis.

Proceedings of the Natural Language Processing and Chinese Computing, 2017

Information-theoretic bounds and phase transitions in clustering, sparse PCA, and submatrix localization.

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Hierarchical Hybrid Attention Networks for Chinese Conversation Topic Classification.

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Joint Extraction of Multiple Relations and Entities by Using a Hybrid Neural Network.

Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2017

2016

Achieving Exact Cluster Recovery Threshold via Semidefinite Programming: Extensions.

IEEE Trans. Information Theory, 2016

Uncooperative gait recognition: Re-ranking based on sparse coding and multi-view hypergraph learning.

Pattern Recognition, 2016

Multi-gait identification based on multilinear analysis and multi-target tracking.

Multimedia Tools Appl., 2016

A neural network framework for relation extraction: Learning entity semantic and relation pattern.

Knowl.-Based Syst., 2016

Statistical-Computational Tradeoffs in Planted Problems and Submatrix Localization with a Growing Number of Clusters and Submatrices.

Journal of Machine Learning Research, 2016

Semantic expansion using word embedding clustering and convolutional neural network for improving short text classification.

Neurocomputing, 2016

Compositional Recurrent Neural Networks for Chinese Short Text Classification.

Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

Joint Learning of Entity Semantics and Relation Pattern for Relation Extraction.

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Ensemble of Feature Sets and Classification Methods for Stance Detection.

Proceedings of the Natural Language Understanding and Intelligent Applications, 2016

Mutual information in rank-one matrix estimation.

Proceedings of the 2016 IEEE Information Theory Workshop, 2016

Information limits for recovering a hidden community.

Proceedings of the IEEE International Symposium on Information Theory, 2016

THU-EE System Description for NIST LRE 2015.

Proceedings of the Interspeech 2016, 2016

Local Algorithms for Block Models with Side Information.

Proceedings of the 2016 ACM Conference on Innovations in Theoretical Computer Science, 2016

A Bidirectional Hierarchical Skip-Gram model for text topic embedding.

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Density Evolution in the Degree-correlated Stochastic Block Model.

Proceedings of the 29th Conference on Learning Theory, 2016

Semidefinite Programs for Exact Recovery of a Hidden Community.

Proceedings of the 29th Conference on Learning Theory, 2016

Text Classification Improved by Integrating Bidirectional LSTM with Two-dimensional Max Pooling.

Proceedings of the COLING 2016, 2016

Hierarchical Memory Networks for Answer Selection on Unknown Words.

Proceedings of the COLING 2016, 2016

2015

Reconstruction in the Labelled Stochastic Block Model.

IEEE Trans. Network Science and Engineering, 2015

Regularized minimum class variance extreme learning machine for language recognition.

EURASIP J. Audio, Speech and Music Processing, 2015

A Convolutional Architecture for Short Text Expansion and Classification.

Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Clustering and Inference From Pairwise Comparisons.

Proceedings of the 2015 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2015

Collaboratively Learning Preferences from Ordinal Data.

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Short Text Clustering via Convolutional Neural Networks.

Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing, 2015

Exact recovery threshold in the binary censored block model.

Proceedings of the 2015 IEEE Information Theory Workshop, 2015

Achieving exact cluster recovery threshold via semidefinite programming.

Proceedings of the IEEE International Symposium on Information Theory, 2015

Convolutional Neural Networks for Text Hashing.

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Application of Gravity Center Track in Gait Recognition Robust to Influencing Factors.

Proceedings of the Advances in Image and Graphics Technologies - 10th Chinese Conference, 2015

Computational Lower Bounds for Community Detection on Random Graphs.

Proceedings of The 28th Conference on Learning Theory, 2015

Short Text Hashing Improved by Integrating Multi-granularity Topics and Tags.

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2015

Achieving exact cluster recovery threshold via semidefinite programming under the stochastic block model.

Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

Semantic Clustering and Convolutional Neural Network for Short Text Categorization.

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

Cross-view gait recognition based on human walking trajectory.

J. Visual Communication and Image Representation, 2014

Jointly clustering rows and columns of binary matrices: algorithms and trade-offs.

Proceedings of the ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, 2014

Minimax-optimal Inference from Partial Rankings.

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Short Text Hashing Improved by Integrating Topic Features and Tags.

Proceedings of the Neural Information Processing - 21st International Conference, 2014

Statistical-Computational Phase Transitions in Planted Models: The High-Dimensional Setting.

Proceedings of the 31th International Conference on Machine Learning, 2014

Improved phonotactic language recognition based on RNN feature reconstruction.

Proceedings of the IEEE International Conference on Acoustics, 2014

Edge Label Inference in Generalized Stochastic Block Models: from Spectral Theory to Impossibility Results.

Proceedings of The 27th Conference on Learning Theory, 2014

2013

A Fast Matching Method Based on Semantic Similarity for Short Texts.

Proceedings of the Natural Language Processing and Chinese Computing, 2013

Reconstruction in the labeled stochastic block model.

Proceedings of the 2013 IEEE Information Theory Workshop, 2013

Simplified domain transfer multiple kernel learning for language recognition.

Proceedings of the IEEE International Conference on Acoustics, 2013

THUEE system for the Albayzin 2012 language recognition evaluation.

Proceedings of the 2013 IEEE China Summit and International Conference on Signal and Information Processing, 2013

2012

MISO Broadcast Channels with Delayed Finite-Rate Feedback: Predict or Observe?

IEEE Trans. Wireless Communications, 2012

The supermarket game.

Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

2011

On the Accuracy of the Wyner Model in Cellular Networks.

IEEE Trans. Wireless Communications, 2011

On the Accuracy of the Wyner Model in Downlink Cellular Networks.

Proceedings of IEEE International Conference on Communications, 2011

The net benefit of delayed finite-rate feedback in the MISO broadcast channel.

Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010

A self-adaptive differential evolution algorithm for binary CSPs.

Proceedings of the Sixth International Conference on Natural Computation, 2010

When Does the Wyner Model Accurately Describe an Uplink Cellular Network?

Proceedings of the Global Communications Conference, 2010