Jie Fu

According to our database1, Jie Fu authored at least 97 papers between 2006 and 2019.

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Bibliography

2019
Scalable User-Substation Assignment with Big Data from Power Grids.
IEEE Trans. Big Data, 2019

Learning Sparse Mixture of Experts for Visual Question Answering.
CoRR, 2019

Deep Learning-based Radiomic Features for Improving Neoadjuvant Chemoradiation Response Prediction in Locally Advanced Rectal Cancer.
CoRR, 2019

Exploring Domain Shift in Extractive Text Summarization.
CoRR, 2019

Interactive Language Learning by Question Answering.
CoRR, 2019

Interactive Machine Comprehension with Information Seeking Agents.
CoRR, 2019

Conditional Computation for Continual Learning.
CoRR, 2019

Opportunistic Synthesis in Reactive Games under Information Asymmetry.
CoRR, 2019

Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks.
CoRR, 2019

Revision in Continuous Space: Fine-Grained Control of Text Style Transfer.
CoRR, 2019

Structure Learning for Neural Module Networks.
CoRR, 2019

Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives.
CoRR, 2019

TIGS: An Inference Algorithm for Text Infilling with Gradient Search.
CoRR, 2019

A Validated Physical Model For Real-Time Simulation of Soft Robotic Snakes.
CoRR, 2019

Graph Neural Networks with Generated Parameters for Relation Extraction.
CoRR, 2019

Dataflow-based Joint Quantization of Weights and Activations for Deep Neural Networks.
CoRR, 2019

A Validated Physical Model For Real-Time Simulation of Soft Robotic Snakes.
Proceedings of the International Conference on Robotics and Automation, 2019

Dataflow-Based Joint Quantization for Deep Neural Networks.
Proceedings of the Data Compression Conference, 2019

A Meaningful Visually Secure Image Encryption Scheme.
Proceedings of the IEEE Fifth International Conference on Big Data Computing Service and Applications, 2019

Compositional planning in Markov decision processes: Temporal abstraction meets generalized logic composition.
Proceedings of the 2019 American Control Conference, 2019

Approximate Dynamic Programming with Probabilistic Temporal Logic Constraints.
Proceedings of the 2019 American Control Conference, 2019

Graph Neural Networks with Generated Parameters for Relation Extraction.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 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

TIGS: An Inference Algorithm for Text Infilling with Gradient Search.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Learning Multi-Task Communication with Message Passing for Sequence Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Multi-task Learning over Graph Structures.
CoRR, 2018

Compositional planning in Markov decision processes: Temporal abstraction meets generalized logic composition.
CoRR, 2018

Minimum Violation Control Synthesis on Cyber-Physical Systems under Attacks.
CoRR, 2018

Human-in-the-Loop Synthesis for Partially Observable Markov Decision Processes.
CoRR, 2018

Single Frame Super Resolution with Convolutional Neural Network for Remote Sensing Imagery.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Learning semantic topics for domain-adapted textual knowledge transfer.
Proceedings of the 10th International Conference on Internet Multimedia Computing and Service, 2018

Expedited Learning in MDPs with Side Information.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Minimum Violation Control Synthesis on Cyber-Physical Systems under Attacks.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

A Compositional Approach to Reactive Games under Temporal Logic Specifications.
Proceedings of the 2018 Annual American Control Conference, 2018

Human-in-the-Loop Synthesis for Partially Observable Markov Decision Processes.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Image Quality Assessment Based on Local Linear Information and Distortion-Specific Compensation.
IEEE Trans. Image Processing, 2017

Adapting to Flexibility: Model Reference Adaptive Control of Soft Bending Actuators.
IEEE Robotics and Automation Letters, 2017

A new self-tuning fuzzy controller for vibration of a flexible structure subjected to multi-frequency excitations.
J. Systems & Control Engineering, 2017

Inverse Reinforce Learning with Nonparametric Behavior Clustering.
CoRR, 2017

Bidirectional Backpropagation: Towards Biologically Plausible Error Signal Transmission in Neural Networks.
CoRR, 2017

Environment-Independent Task Specifications via GLTL.
CoRR, 2017

Sampling-based approximate optimal temporal logic planning.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Sampling-based Approximate Optimal Control Under Temporal Logic Constraints.
Proceedings of the 20th International Conference on Hybrid Systems: Computation and Control, 2017

Data-driven inverse learning of passenger preferences in urban public transits.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Synthesis of Shared Autonomy Policies With Temporal Logic Specifications.
IEEE Trans. Automation Science and Engineering, 2016

Synthesis of Joint Control and Active Sensing Strategies Under Temporal Logic Constraints.
IEEE Trans. Automat. Contr., 2016

DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks.
CoRR, 2016

Importance sampling-based approximate optimal planning and control.
CoRR, 2016

An introduction to CPU and DSP design in China.
SCIENCE CHINA Information Sciences, 2016

DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Optimal temporal logic planning in probabilistic semantic maps.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Distortion recognition for image quality assessment with convolutional neural network.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

Screen content image quality assessment via convolutional neural network.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Blind image quality assessment for multiply distorted images via convolutional neural networks.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Scalable user assignment in power grids: a data driven approach.
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016

Automata theory meets approximate dynamic programming: Optimal control with temporal logic constraints.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Robust optimal policies for Markov decision processes with safety-threshold constraints.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

CAOS: combined analysis with online sifting for dynamic compilation systems.
Proceedings of the ACM International Conference on Computing Frontiers, CF'16, 2016

A hazmat transportation monitoring system based on Global Positioning System / Beidou Navigation Satellite System and RS485 bus.
Proceedings of the 9th International Congress on Image and Signal Processing, 2016

2015
Symbolic planning and control using game theory and grammatical inference.
Eng. Appl. of AI, 2015

Computational methods for stochastic control with metric interval temporal logic specifications.
CoRR, 2015

Optimal control in Markov decision processes via distributed optimization.
CoRR, 2015

Optimal Temporal Logic Planning in Probabilistic Semantic Maps.
CoRR, 2015

Pareto efficiency in synthesizing shared autonomy policies with temporal logic constraints.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

A Fault-Tolerant Java Virtual Machine Using Fast Rejuvenation for Soft-Error-Prone Systems.
Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015

Computational methods for stochastic control with metric interval temporal logic specifications.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Optimal control in Markov decision processes via distributed optimization.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Integrating active sensing into reactive synthesis with temporal logic constraints under partial observations.
Proceedings of the American Control Conference, 2015

AffectiveSpace 2: Enabling Affective Intuition for Concept-Level Sentiment Analysis.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Adaptive Symbolic Control for Finite-State Transition Systems With Grammatical Inference.
IEEE Trans. Automat. Contr., 2014

Pareto efficiency in synthesizing shared autonomy policies with temporal logic constraints.
CoRR, 2014

Integrating active sensing into reactive synthesis with temporal logic constraints under partial observations.
CoRR, 2014

Probably Approximately Correct MDP Learning and Control With Temporal Logic Constraints.
CoRR, 2014

Abstractions and sensor design in partial-information, reactive controller synthesis.
CoRR, 2014

Probably Approximately Correct MDP Learning and Control With Temporal Logic Constraints.
Proceedings of the Robotics: Science and Systems X, 2014

Abstractions and sensor design in partial-information, reactive controller synthesis.
Proceedings of the American Control Conference, 2014

2013
Bottom-Up Symbolic Control: Attractor-Based Planning and Behavior Synthesis.
IEEE Trans. Automat. Contr., 2013

Production-ratio oriented optimization for multi-recipe material handling via simultaneous hoist scheduling and production line arrangement.
Computers & Chemical Engineering, 2013

Simultaneous study on energy consumption and emission generation for an ethylene plant under different start-up strategies.
Computers & Chemical Engineering, 2013

Recognizing context-aware activities of daily living using RGBD sensor.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

The experimental study on vibration characteristics of MR seat suspension system.
Proceedings of the IEEE International Conference on Vehicular Electronics and Safety, 2013

Adaptive planning in unknown environments using grammatical inference.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Hierarchical control via approximate simulation and feedback linearization.
Proceedings of the American Control Conference, 2013

A new magnetorheological elastomer isolator in shear - Compression mixed mode.
Proceedings of the 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2013

2012
Integrating Grammatical Inference into Robotic Planning.
Proceedings of the Eleventh International Conference on Grammatical Inference, 2012

Finite abstractions for hybrid systems with stable continuous dynamics.
Discrete Event Dynamic Systems, 2012

Symbolic Planning and Control Using Game Theory and Grammatical Inference
CoRR, 2012

Coupling multiple water-reuse network designs for agile manufacturing.
Computers & Chemical Engineering, 2012

Optimal planning on register automata.
Proceedings of the American Control Conference, 2012

2011
On the exponential synchronization of stochastic impulsive chaotic delayed neural networks.
Neurocomputing, 2011

Simultaneous mixed-integer dynamic optimization for environmentally benign electroplating.
Computers & Chemical Engineering, 2011

An Algebraic Characterization of Strictly Piecewise Languages.
Proceedings of the Theory and Applications of Models of Computation, 2011

2010
On passivity analysis for stochastic neural networks with interval time-varying delay.
Neurocomputing, 2010

2009
Mixed H2/H Control for Networked Control Systems (NCSs) with Markovian Packet-Loss.
Proceedings of the Web Information Systems and Mining, International Conference, 2009

2008
Robust stability of Markovian jumping stochastic neural networks with interval time-varying delay.
Proceedings of the IEEE International Conference on Systems, 2008

2006
Research on the Collaborative Virtual Products Development Based on Web and X3D.
Proceedings of the 16th International Conference on Artificial Reality and Telexistence, 2006


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