Yan Duan

According to our database1, Yan Duan authored at least 42 papers between 2008 and 2023.

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

Timeline

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Links

On csauthors.net:

Bibliography

2023
Vehicle re-identification method based on multi-attribute dense linking network combined with distance control module.
Frontiers Neurorobotics, June, 2023

Optimal Frequency Ratio Design Method for Multifrequency Phase Unwrapping of UAV InSAR.
IEEE Trans. Geosci. Remote. Sens., 2023

2022
An Improved Multi-Baseline Phase Unwrapping Method for GB-InSAR.
Remote. Sens., 2022

A bioinspired olfactory sensor based on organoid-on-a-chip.
Proceedings of the IEEE International Symposium on Olfaction and Electronic Nose, 2022

Flexible Neural Electrode Array Based-in vivo bioelectronic nose.
Proceedings of the IEEE International Symposium on Olfaction and Electronic Nose, 2022

2020
NeuroCard: One Cardinality Estimator for All Tables.
Proc. VLDB Endow., 2020

Variable Skipping for Autoregressive Range Density Estimation.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Deep Unsupervised Cardinality Estimation.
Proc. VLDB Endow., 2019

Selectivity Estimation with Deep Likelihood Models.
CoRR, 2019

Evaluating Protein Transfer Learning with TAPE.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Some Considerations on Learning to Explore via Meta-Reinforcement Learning.
CoRR, 2018

The Importance of Sampling inMeta-Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines.
Proceedings of the 6th International Conference on Learning Representations, 2018

Model-Ensemble Trust-Region Policy Optimization.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Meta Learning for Control.
PhD thesis, 2017

A Low-cost Dithering Method for Improving ADC Linearity Test Applied in uSMILE Algorithm.
J. Electron. Test., 2017

Dependence Structure Analysis Of Meta-level Metrics in YouTube Videos: A Vine Copula Approach.
CoRR, 2017

Accurate jitter decomposition in high-speed links.
Proceedings of the 35th IEEE VLSI Test Symposium, 2017

#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

One-Shot Imitation Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Adversarial Attacks on Neural Network Policies.
Proceedings of the 5th International Conference on Learning Representations, 2017

Stochastic Neural Networks for Hierarchical Reinforcement Learning.
Proceedings of the 5th International Conference on Learning Representations, 2017

Variational Lossy Autoencoder.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks.
CoRR, 2016

RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning.
CoRR, 2016

VIME: Variational Information Maximizing Exploration.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Low-cost dithering generator for accurate ADC linearity test.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

Deep spatial autoencoders for visuomotor learning.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Benchmarking Deep Reinforcement Learning for Continuous Control.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Learning Visual Feature Spaces for Robotic Manipulation with Deep Spatial Autoencoders.
CoRR, 2015

A low cost jitter separation and characterization method.
Proceedings of the 33rd IEEE VLSI Test Symposium, 2015

High-constancy offset generator robust to CDAC nonlinearity for SEIR-based ADC BIST.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

2014
Motion planning with sequential convex optimization and convex collision checking.
Int. J. Robotics Res., 2014

Identification and break of positive feedback loops in Trojan States Vulnerable Circuits.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

A signaling load and radio resource utilization balancing scheme for 3G cellular networks.
Proceedings of the 21st International Conference on Telecommunications, 2014

Spectrum survey for TV band in Beijing.
Proceedings of the 21st International Conference on Telecommunications, 2014

Gaussian belief space planning with discontinuities in sensing domains.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Planning locally optimal, curvature-constrained trajectories in 3D using sequential convex optimization.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013
Sigma hulls for Gaussian belief space planning for imprecise articulated robots amid obstacles.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

2008
Encryption Scheme for Remote Sensing Images Based on EZW and Chaos.
Proceedings of the 9th International Conference for Young Computer Scientists, 2008


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