Yingfeng Chen

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
AS-NeRF: Learning Auxiliary Sampling for Generalizable Novel View Synthesis from Sparse Views.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Mastering Robot Control through Point-based Reinforcement Learning with Pre-training.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
ASN: action semantics network for multiagent reinforcement learning.
Auton. Agents Multi Agent Syst., October, 2023

NeurAR: Neural Uncertainty for Autonomous 3D Reconstruction With Implicit Neural Representations.
IEEE Robotics Autom. Lett., 2023

The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation.
CoRR, 2023

Effective Multimodal Reinforcement Learning with Modality Alignment and Importance Enhancement.
CoRR, 2023

Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning.
CoRR, 2023

See Through the Inside and Outside: Human Body and Anatomical Skeleton Prediction Network.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2023

Modeling and Control of General Hydraulic Excavator for Human-in-the-loop Automation.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

GameRTS: A Regression Testing Framework for Video Games.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

ImmFusion: Robust mmWave-RGB Fusion for 3D Human Body Reconstruction in All Weather Conditions.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Neural Episodic Control with State Abstraction.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Off-Beat Multi-Agent Reinforcement Learning.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
GBGallery : A benchmark and framework for game testing.
Empir. Softw. Eng., 2022

Distributed Multi-Robot Obstacle Avoidance via Logarithmic Map-based Deep Reinforcement Learning.
CoRR, 2022

Automatic Reward Design via Learning Motivation-Consistent Intrinsic Rewards.
CoRR, 2022

NeurAR: Neural Uncertainty for Autonomous 3D Reconstruction.
CoRR, 2022

An Empirical Analysis of Compatibility Issues for Industrial Mobile Games (Practical Experience Report).
Proceedings of the IEEE 33rd International Symposium on Software Reliability Engineering, 2022

A Closed-Loop Perception, Decision-Making and Reasoning Mechanism for Human-Like Navigation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Multimodal Reinforcement Learning with Effective State Representation Learning.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021
Multialgorithm Fusion Image Processing for High Speed Railway Dropper Failure-Defect Detection.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Neural-to-Tree Policy Distillation with Policy Improvement Criterion.
CoRR, 2021

Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games.
CoRR, 2021

An empirical study of GUI widget detection for industrial mobile games.
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

GLIB: towards automated test oracle for graphically-rich applications.
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Reward-Constrained Behavior Cloning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration.
Proceedings of the 38th International Conference on Machine Learning, 2021

A Future-Oriented Cache Management for Mobile Games.
Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

2020
Fever Basketball: A Complex, Flexible, and Asynchronized Sports Game Environment for Multi-agent Reinforcement Learning.
CoRR, 2020

Learn to Effectively Explore in Context-Based Meta-RL.
CoRR, 2020

Learning When to Transfer among Agents: An Efficient Multiagent Transfer Learning Framework.
CoRR, 2020

Evaluation Index System for Agricultural Water Management in Targeted Poverty Alleviation Based on 3E Model.
Complex., 2020

Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Efficient Deep Reinforcement Learning via Adaptive Policy Transfer.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Regression Testing of Massively Multiplayer Online Role-Playing Games.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

Q-value Path Decomposition for Deep Multiagent Reinforcement Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

Action Semantics Network: Considering the Effects of Actions in Multiagent Systems.
Proceedings of the 8th International Conference on Learning Representations, 2020

Exploring Unknown States with Action Balance.
Proceedings of the IEEE Conference on Games, 2020

Reinforcement Learning with Action-Specific Focuses in Video Games.
Proceedings of the IEEE Conference on Games, 2020

Efficient Deep Reinforcement Learning through Policy Transfer.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Mastering Basketball With Deep Reinforcement Learning: An Integrated Curriculum Training Approach.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Reinforced Evolutionary Algorithms for Game Difficulty Control.
Proceedings of the ACAI 2020: 3rd International Conference on Algorithms, 2020

Generative Adversarial Imitation Learning from Failed Experiences (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Learning Action-Transferable Policy with Action Embedding.
CoRR, 2019

Wuji: Automatic Online Combat Game Testing Using Evolutionary Deep Reinforcement Learning.
Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

Reinforcement Learning Experience Reuse with Policy Residual Representation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Explicitly Coordinated Policy Iteration.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Hierarchical Deep Multiagent Reinforcement Learning.
CoRR, 2018

2017
A General Batch-Calibration Framework of Service Robots.
Proceedings of the Intelligent Robotics and Applications - 10th International Conference, 2017

Performance Metrics for Coverage of Cleaning Robots with MoCap System.
Proceedings of the Intelligent Robotics and Applications - 10th International Conference, 2017

2015
KeJia Robot-An Attractive Shopping Mall Guider.
Proceedings of the Social Robotics - 7th International Conference, 2015

Synthetical Benchmarking of Service Robots: A First Effort on Domestic Mobile Platforms.
Proceedings of the RoboCup 2015: Robot World Cup XIX [papers from the 19th Annual RoboCup International Symposium, 2015

KeJia-LC: A Low-Cost Mobile Robot Platform - Champion of Demo Challenge on Benchmarking Service Robots at RoboCup 2015.
Proceedings of the RoboCup 2015: Robot World Cup XIX [papers from the 19th Annual RoboCup International Symposium, 2015

A probabilistic, variable-resolution and effective quadtree representation for mapping of large environments.
Proceedings of the International Conference on Advanced Robotics, 2015

2014
The Intelligent Techniques in Robot KeJia - The Champion of RoboCup@Home 2014.
Proceedings of the RoboCup 2014: Robot World Cup XVIII [papers from the 18th Annual RoboCup International Symposium, 2014

2005
Image reconstruction of a buried perfectly conducting cylinder illuminated by transverse electric waves.
Int. J. Imaging Syst. Technol., 2005

CLPM: A Cross-Linked Peptide Mapping Algorithm for Mass Spectrometric Analysis.
BMC Bioinform., 2005

2004
An innovative IDS immune system model.
Proceedings of the IEEE International Conference on Systems, 2004


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