Qichao Zhang

Orcid: 0000-0001-9747-391X

According to our database1, Qichao Zhang authored at least 62 papers between 2015 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Planning-Inspired Hierarchical Trajectory Prediction via Lateral-Longitudinal Decomposition for Autonomous Driving.
IEEE Trans. Intell. Veh., January, 2024

MonoOcc: Digging into Monocular Semantic Occupancy Prediction.
CoRR, 2024

2023
An Improved Carrier-Smoothing Code Algorithm for BDS Satellites with SICB.
Remote. Sens., November, 2023

Multi-task safe reinforcement learning for navigating intersections in dense traffic.
J. Frankl. Inst., November, 2023

Planning-inspired Hierarchical Trajectory Prediction for Autonomous Driving.
CoRR, 2023

STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

PnP: Integrated Prediction and Planning for Interactive Lane Change in Dense Traffic.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022
TrajGen: Generating Realistic and Diverse Trajectories With Reactive and Feasible Agent Behaviors for Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., 2022

BiFNet: Bidirectional Fusion Network for Road Segmentation.
IEEE Trans. Cybern., 2022

Highway Lane Change Decision-Making via Attention-Based Deep Reinforcement Learning.
IEEE CAA J. Autom. Sinica, 2022

Prototypical context-aware dynamics generalization for high-dimensional model-based reinforcement learning.
CoRR, 2022

Conditional Goal-oriented Trajectory Prediction for Interacting Vehicles with Vectorized Representation.
CoRR, 2022

Multi-task Safe Reinforcement Learning for Navigating Intersections in Dense Traffic.
CoRR, 2022

Sparse online kernelized actor-critic Learning in reproducing kernel Hilbert space.
Artif. Intell. Rev., 2022

Offline Reinforcement Learning for Autonomous Driving with Real World Driving Data.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

GAP: Goal-Aware Prediction with Hierarchical Interactive Representation for Vehicle Trajectory.
Proceedings of the Data Mining and Big Data - 7th International Conference, 2022

2021
MORSE-STF: A Privacy Preserving Computation System.
CoRR, 2021

A Reinforcement Learning Benchmark for Autonomous Driving in Intersection Scenarios.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

IA-CNN: A generalised interpretable convolutional neural network with attention mechanism.
Proceedings of the International Joint Conference on Neural Networks, 2021

Hierarchical Reinforcement Learning-Based Policy Switching Towards Multi-Scenarios Autonomous Driving.
Proceedings of the International Joint Conference on Neural Networks, 2021

Benchmarking Lane-changing Decision-making for Deep Reinforcement Learning.
Proceedings of the ICRAI 2021: 7th International Conference on Robotics and Artificial Intelligence, Guangzhou, China, November 19, 2021

Vehicle Trajectory Prediction Based on Graph Attention Network.
Proceedings of the Cognitive Systems and Information Processing, 2021

2020
Deep Reinforcement Learning-Based Automatic Exploration for Navigation in Unknown Environment.
IEEE Trans. Neural Networks Learn. Syst., 2020

Hierarchical optimal control for input-affine nonlinear systems through the formulation of Stackelberg game.
Inf. Sci., 2020

Revocable ciphertext-policy attribute-based encryption in data outsourcing systems from lattices.
Int. J. Embed. Syst., 2020

Blockchain-Based Cache Poisoning Security Protection and Privacy-Aware Access Control in NDN Vehicular Edge Computing Networks.
J. Grid Comput., 2020

Dynamic Horizon Value Estimation for Model-based Reinforcement Learning.
CoRR, 2020

Traceable and Weighted Attribute-Based Encryption Scheme in the Cloud Environment.
IEEE Access, 2020

RailNet: An Information Aggregation Network for Rail Track Segmentation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Data-Based Reinforcement Learning for Nonzero-Sum Games With Unknown Drift Dynamics.
IEEE Trans. Cybern., 2019

Graph Attention Memory for Visual Navigation.
CoRR, 2019

Securing ICN-Based UAV Ad Hoc Networks with Blockchain.
IEEE Commun. Mag., 2019

Reinforcement Learning and Deep Learning Based Lateral Control for Autonomous Driving [Application Notes].
IEEE Comput. Intell. Mag., 2019

Mixing Position Estimation of AIS Mixed Signal Based on Double-Sliding Window Method.
IEEE Access, 2019

Reinforcement Learning based Lane Change Decision-Making with Imaginary Sampling.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Model-Free Reinforcement Learning based Lateral Control for Lane Keeping.
Proceedings of the International Joint Conference on Neural Networks, 2019

Lane Change Decision-making through Deep Reinforcement Learning with Rule-based Constraints.
Proceedings of the International Joint Conference on Neural Networks, 2019

Cluster Synchronization of Nonlinearly Coupled Directed Network via Pinning Control Strategy.
Proceedings of the 15th IEEE International Conference on Control and Automation, 2019

2018
Event-Based Robust Control for Uncertain Nonlinear Systems Using Adaptive Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2018

Policy Iteration for H<sub>∞</sub> Optimal Control of Polynomial Nonlinear Systems via Sum of Squares Programming.
IEEE Trans. Cybern., 2018

Multi-task learning for dangerous object detection in autonomous driving.
Inf. Sci., 2018

Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving.
CoRR, 2018

An Autonomous Driving Experience Platform with Learning-Based Functions.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Model-Free Reinforcement Learning for Fully Cooperative Multi-Agent Graphical Games.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Visual Navigation with Actor-Critic Deep Reinforcement Learning.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

DeepSign: Deep Learning based Traffic Sign Recognition.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Reputation-Based Byzantine Fault-Tolerance for Consortium Blockchain.
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

Value Iteration Algorithm for Optimal Consensus Control of Multi-agent Systems.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

An Efficient Network for Lane Segmentation.
Proceedings of the Cognitive Systems and Signal Processing - 4th International Conference, 2018

2017
Event-Triggered H<sub>∞</sub> Control for Continuous-Time Nonlinear System via Concurrent Learning.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Data-driven adaptive dynamic programming for continuous-time fully cooperative games with partially constrained inputs.
Neurocomputing, 2017

Model-Free Optimal Control Based Intelligent Cruise Control with Hardware-in-the-Loop Demonstration [Research Frontier].
IEEE Comput. Intell. Mag., 2017

Event-triggered integral reinforcement learning for nonlinear continuous-time systems.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Policy gradient methods with Gaussian process modelling acceleration.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Off-Policy Reinforcement Learning for Partially Unknown Nonzero-Sum Games.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
Data-Based Adaptive Critic Designs for Nonlinear Robust Optimal Control With Uncertain Dynamics.
IEEE Trans. Syst. Man Cybern. Syst., 2016

Experience Replay for Optimal Control of Nonzero-Sum Game Systems With Unknown Dynamics.
IEEE Trans. Cybern., 2016

Event-based input-constrained nonlinear H∞ state feedback with adaptive critic and neural implementation.
Neurocomputing, 2016

Convolutional fitted Q iteration for vision-based control problems.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Model-free reinforcement learning for nonlinear zero-sum games with simultaneous explorations.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Event-Triggered Adaptive Dynamic Programming for Uncertain Nonlinear Systems.
Proceedings of the Cognitive Systems and Signal Processing, 2016

2015
Event-Triggered H ∞ Control for Continuous-Time Nonlinear System.
Proceedings of the Advances in Neural Networks - ISNN 2015, 2015


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