Bo Dai

According to our database1, Bo Dai authored at least 125 papers between 2003 and 2020.

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Bibliography

2020
Detection Effectiveness Estimation Based on Multi-Angle Data and Visualization Analysis.
JACIII, 2020

Energy-based View of Retrosynthesis.
CoRR, 2020

Off-Policy Evaluation via the Regularized Lagrangian.
CoRR, 2020

Provably Efficient Neural Estimation of Structural Equation Model: An Adversarial Approach.
CoRR, 2020

Unsupervised Landmark Learning from Unpaired Data.
CoRR, 2020

Scalable Deep Generative Modeling for Sparse Graphs.
CoRR, 2020

Video Representation Learning with Visual Tempo Consistency.
CoRR, 2020

Zeroth-Order Supervised Policy Improvement.
CoRR, 2020

Novel Policy Seeking with Constrained Optimization.
CoRR, 2020

Intra- and Inter-Action Understanding via Temporal Action Parsing.
CoRR, 2020

Evolutionary Stochastic Policy Distillation.
CoRR, 2020

FineGym: A Hierarchical Video Dataset for Fine-grained Action Understanding.
CoRR, 2020

Temporal Pyramid Network for Action Recognition.
CoRR, 2020

Self-Supervised Scene De-occlusion.
CoRR, 2020

Learning Sparse Rewarded Tasks from Sub-Optimal Demonstrations.
CoRR, 2020

Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation.
CoRR, 2020

Energy-Based Processes for Exchangeable Data.
CoRR, 2020

Batch Stationary Distribution Estimation.
CoRR, 2020

Differentiable Top-k Operator with Optimal Transport.
CoRR, 2020

Reinforcement Learning via Fenchel-Rockafellar Duality.
CoRR, 2020

SIMSF: A Scale Insensitive Multi-Sensor Fusion Framework for Unmanned Aerial Vehicles Based on Graph Optimization.
IEEE Access, 2020

GenDICE: Generalized Offline Estimation of Stationary Values.
Proceedings of the 8th International Conference on Learning Representations, 2020

Real or Not Real, that is the Question.
Proceedings of the 8th International Conference on Learning Representations, 2020

Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Data Model Analysis and Integration Technology Based on Electric Power.
J. Signal Process. Syst., 2019

AlgaeDICE: Policy Gradient from Arbitrary Experience.
CoRR, 2019

Overcoming Catastrophic Forgetting by Generative Regularization.
CoRR, 2019

Learning to Plan via Neural Exploration-Exploitation Trees.
CoRR, 2019

Improved impossible differential cryptanalysis of large-block Rijndael.
Sci. China Inf. Sci., 2019

Meta Architecture Search.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Energy-Inspired Models: Learning with Sampler-Induced Distributions.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Exponential Family Estimation via Adversarial Dynamics Embedding.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Retrosynthesis Prediction with Conditional Graph Logic Network.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Inventory Replenishment Planning of a Distribution System with Warehouses at the Locations of Producers and Minimum and Maximum Joint Replenishment Quantity Constraints.
Proceedings of the 8th International Conference on Operations Research and Enterprise Systems, 2019

Feature Intertwiner for Object Detection.
Proceedings of the 7th International Conference on Learning Representations, 2019

Revisiting Auxiliary Latent Variables in Generative Models.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Learning to Defense by Learning to Attack.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Recursive Visual Sound Separation Using Minus-Plus Net.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

A Feature Extraction Algorithm for the Detection of "Five-Distances" in Hazardous Chemical Storage and Stacking in Night Vision Environment.
Proceedings of the Cognitive Computing - ICCC 2019, 2019

Kernel Exponential Family Estimation via Doubly Dual Embedding.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Learning over functions, distributions and dynamics via stochastic optimization.
PhD thesis, 2018

Analysis of the Impact of AGC on Cyclic Prefix Length for OFDM Systems.
IEEE Trans. Communications, 2018

危化品仓储中激光测距的自适应分层聚类去噪算法研究 (Study on Adaptive Hierarchical Clustering De-noising Algorithm of Laser Ranging in Storage of Dangerous Chemicals).
计算机科学, 2018

A Quick Detection Method of Corner Point of Hazardous Chemicals Stacking Based on Angle Coefficient.
JCP, 2018

Visual tracking via ensemble autoencoder.
IET Image Process., 2018

Bayesian Meta-network Architecture Learning.
CoRR, 2018

Learning to Defense by Learning to Attack.
CoRR, 2018

Improved Meet-in-the Middle Attacks on Reduced-Round TWINE-128.
Comput. J., 2018

Learning Deep Hidden Nonlinear Dynamics from Aggregate Data.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Predictive Approximate Bayesian Computation via Saddle Points.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Cooperative neural networks (CoNN): Exploiting prior independence structure for improved classification.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning towards Minimum Hyperspherical Energy.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Neural Compositional Paradigm for Image Captioning.
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

Structured Inference for Recurrent Hidden Semi-markov Model.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Grasp a Moving Target from the Air: System & Control of an Aerial Manipulator.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Towards Black-box Iterative Machine Teaching.
Proceedings of the 35th International Conference on Machine Learning, 2018

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

Learning Steady-States of Iterative Algorithms over Graphs.
Proceedings of the 35th International Conference on Machine Learning, 2018

Syntax-Directed Variational Autoencoder for Structured Data.
Proceedings of the 6th International Conference on Learning Representations, 2018

Boosting the Actor with Dual Critic.
Proceedings of the 6th International Conference on Learning Representations, 2018

Acceleration Feedback Enhanced H<sub>∞</sub> Control of Unmanned Aerial Vehicle for Wind Disturbance Rejection.
Proceedings of the 15th International Conference on Control, 2018

Move Forward and Tell: A Progressive Generator of Video Descriptions.
Proceedings of the Computer Vision - ECCV 2018, 2018

Neural Network Encapsulation.
Proceedings of the Computer Vision - ECCV 2018, 2018

Rethinking the Form of Latent States in Image Captioning.
Proceedings of the Computer Vision - ECCV 2018, 2018

Decoupled Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Wind Disturbance Rejection for Unmanned Aerial Vehicle Based on Acceleration Feedback Method.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Multi-scale Nystrom Method.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017
Smoothed Dual Embedding Control.
CoRR, 2017

Deep Hyperspherical Learning.
CoRR, 2017

Towards Black-box Iterative Machine Teaching.
CoRR, 2017

Iterative Machine Teaching.
CoRR, 2017

The Impact of AGC on Cyclic Prefix Length for OFDM Systems.
Proceedings of the 85th IEEE Vehicular Technology Conference, 2017

SecTube: SGX-Based Trusted Transmission System.
Proceedings of the Smart Computing and Communication, 2017

A vision-based autonomous aerial spray system for precision agriculture.
Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics, 2017

Deep Hyperspherical Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Contrastive Learning for Image Captioning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning from semantically dependent multi-tasks.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Iterative Machine Teaching.
Proceedings of the 34th International Conference on Machine Learning, 2017

Stochastic Generative Hashing.
Proceedings of the 34th International Conference on Machine Learning, 2017

Recurrent Hidden Semi-Markov Model.
Proceedings of the 5th International Conference on Learning Representations, 2017

Towards Diverse and Natural Image Descriptions via a Conditional GAN.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Detecting Visual Relationships with Deep Relational Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Learning from Conditional Distributions via Dual Embeddings.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
A Context-Aware Framework for Reducing Bandwidth Usage of Mobile Video Chats.
IEEE Trans. Multimedia, 2016

Learning from Conditional Distributions via Dual Kernel Embeddings.
CoRR, 2016

Design and implementation of rotor aerial manipulator system.
Proceedings of the 2016 IEEE International Conference on Robotics and Biomimetics, 2016

Discriminative Embeddings of Latent Variable Models for Structured Data.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Provable Bayesian Inference via Particle Mirror Descent.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
A New <i>Z</i>-axis Resonant Micro-Accelerometer Based on Electrostatic Stiffness.
Sensors, 2015

Quantitative Estimation of Fluorescence Parameters for Crop Leaves with Bayesian Inversion.
Remote. Sens., 2015

Time and frequency synchronisation in all-optical orthogonal frequency division multiplexing systems.
IET Communications, 2015

Scalable Bayesian Inference via Particle Mirror Descent.
CoRR, 2015

Integrating Parallel and Distributed Computing Topics into an Undergraduate CS Curriculum at UESTC.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015

Joint Relay Selection and Resource Allocation for D2D-Enabled Cellular Communications.
Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015

2014
Price-setting based combinatorial auction approach for carrier collaboration with pickup and delivery requests.
Oper. Res., 2014

Information-Theoretic Semi-Supervised Metric Learning via Entropy Regularization.
Neural Computation, 2014

Scalable Kernel Methods via Doubly Stochastic Gradients.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Nonparametric Estimation of Multi-View Latent Variable Models.
Proceedings of the 31th International Conference on Machine Learning, 2014

Transductive Learning with Multi-class Volume Approximation.
Proceedings of the 31th International Conference on Machine Learning, 2014

±π/2-Phase-shift spectral phase encoding for security improvement in the optical code based system.
Proceedings of the 2014 IEEE/CIC International Conference on Communications in China, 2014

A versatile photonic waveform generation scheme by using a dual-drive Mach Zehnder modulator.
Proceedings of the 2014 IEEE/CIC International Conference on Communications in China, 2014

Photonic millimeter-wave-band ultra-wideband signal generation based on a dual-drive Mach-Zehnder modulator.
Proceedings of the 9th International Conference on Communications and Networking in China, 2014

Performance evaluation of superchannels using all-optical M-QAM OFDM and coherent receiver in the presence of time and frequency offsets.
Proceedings of the 9th International Conference on Communications and Networking in China, 2014

2013
Maximum volume clustering: a new discriminative clustering approach.
J. Mach. Learn. Res., 2013

Robust Low Rank Kernel Embeddings of Multivariate Distributions.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Squared-loss Mutual Information Regularization: A Novel Information-theoretic Approach to Semi-supervised Learning.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
Mathematical model and solution approach for carriers' collaborative transportation planning in less than truckload transportation.
IJAOM, 2012

EigenGP: Gaussian processes with sparse data-dependent eigenfunctions
CoRR, 2012

Profit allocation mechanisms for carrier collaboration in pickup and delivery service.
Comput. Ind. Eng., 2012

2011
A multi-agent and auction-based framework and approach for carrier collaboration.
Logist. Res., 2011

Maximum Volume Clustering.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Price-setting based Combinatorial Auction Approach for Carriers' Collaboration in Less than Truckload Transportation.
Proceedings of the ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence, Volume 1, 2011

2010
Minimum Conditional Entropy Clustering: A Discriminative Framework for Clustering.
Proceedings of the 2nd Asian Conference on Machine Learning, 2010

Rough Margin Based Core Vector Machine.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Compact Margin Machine.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

A Multiple Instance Approach for Keyword-Based Retrieval in Un-annotated Image Database.
Proceedings of the Advances in Multimedia Modeling, 2010

Neural-network based regression model with prior from ranking information.
Proceedings of the International Joint Conference on Neural Networks, 2010

The Research on the Financial Early Warning System Based on Cash Flow.
Proceedings of the International Conference on E-Business and E-Government, 2010

Bayesian Maximum Margin Clustering.
Proceedings of the ICDM 2010, 2010

2009
Effective DDoS Attacks Detection Using Generalized Entropy Metric.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2009

2008
Economic Analysis and Application Practice of Outsourcing of Human Resources Management.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008

2007
A Parallel Downloading Algorithm for Redundant Networks.
Proceedings of the Seventh International Conference on Computer and Information Technology (CIT 2007), 2007

2003
Some Views on Building Computational Grids Infrastructure.
Proceedings of the Grid and Cooperative Computing, Second International Workshop, 2003


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