Yingfeng Chen

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 72

Top Topics

Mobile Platform

Reinforcement Learning

Top Venues

Publications

Yihong Chen, Cong Wang, Tianpei Yang, Meng Wang, Yingfeng Chen, Jifei Zhou, Chaoyi Zhao, Xinfeng Zhang, Zeng Zhao, Changjie Fan, Zhipeng Hu, Rong Xiong, Long Zeng
Mastering Robot Control through Point-based Reinforcement Learning with Pre-training. AAMAS (2024)
Lingdong Kong, Yaru Niu, Shaoyuan Xie, Hanjiang Hu, Lai Xing Ng, Benoit R. Cottereau, Ding Zhao, Liangjun Zhang, Hesheng Wang, Wei Tsang Ooi, Ruijie Zhu, Ziyang Song, Li Liu, Tianzhu Zhang, Jun Yu, Mohan Jing, Pengwei Li, Xiaohua Qi, Cheng Jin, Yingfeng Chen, Jie Hou, Jie Zhang, Zhen Kan, Qiang Ling, Liang Peng, Minglei Li, Di Xu, Changpeng Yang, Yuanqi Yao, Gang Wu, Jian Kuai, Xianming Liu, Junjun Jiang, Jiamian Huang, Baojun Li, Jiale Chen, Shuang Zhang, Sun Ao, Zhenyu Li, Runze Chen, Haiyong Luo, Fang Zhao, Jingze Yu
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation. CoRR (2023)
Yunlong Ran, Jing Zeng, Shibo He, Jiming Chen, Lincheng Li, Yingfeng Chen, Gimhee Lee, Qi Ye
NeurAR: Neural Uncertainty for Autonomous 3D Reconstruction With Implicit Neural Representations. IEEE Robotics Autom. Lett. 8 (2) (2023)
Wei Qiu, Weixun Wang, Rundong Wang, Bo An, Yujing Hu, Svetlana Obraztsova, Zinovi Rabinovich, Jianye Hao, Yingfeng Chen, Changjie Fan
Off-Beat Multi-Agent Reinforcement Learning. AAMAS (2023)
Jinming Ma, Feng Wu, Yingfeng Chen, Xianpeng Ji, Yu Ding
Effective Multimodal Reinforcement Learning with Modality Alignment and Importance Enhancement. CoRR (2023)
Guangda Chen, Yinghao Gan, Jiayi Chen, Shuanwu Shi, Wei Chen, Yingfeng Chen, Rong Xiong, Changjie Fan
Modeling and Control of General Hydraulic Excavator for Human-in-the-loop Automation. ICTAI (2023)
Anjun Chen, Xiangyu Wang, Kun Shi, Shaohao Zhu, Bin Fang, Yingfeng Chen, Jiming Chen, Yuchi Huo, Qi Ye
ImmFusion: Robust mmWave-RGB Fusion for 3D Human Body Reconstruction in All Weather Conditions. ICRA (2023)
Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Jinyi Liu, Yingfeng Chen, Changjie Fan
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model. ICLR (2023)
Zhuo Li, Derui Zhu, Yujing Hu, Xiaofei Xie, Lei Ma, Yan Zheng, Yan Song, Yingfeng Chen, Jianjun Zhao
Neural Episodic Control with State Abstraction. ICLR (2023)
Zhiheng Peng, Kai Zhao, Xiaoran Chen, Yingfeng Chen, Changjie Fan, Bowei Tang, Siyu Xia, Weijian Shang
See Through the Inside and Outside: Human Body and Anatomical Skeleton Prediction Network. VRW (2023)
Tianpei Yang, Weixun Wang, Jianye Hao, Matthew E. Taylor, Yong Liu, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Chunxu Ren, Ye Huang, Jiangcheng Zhu, Yang Gao
ASN: action semantics network for multiagent reinforcement learning. Auton. Agents Multi Agent Syst. 37 (2) (2023)
Jiongchi Yu, Yuechen Wu, Xiaofei Xie, Wei Le, Lei Ma, Yingfeng Chen, Jingyu Hu, Fan Zhang
GameRTS: A Regression Testing Framework for Video Games. ICSE (2023)
Zhuo Li, Derui Zhu, Yujing Hu, Xiaofei Xie, Lei Ma, Yan Zheng, Yan Song, Yingfeng Chen, Jianjun Zhao
Neural Episodic Control with State Abstraction. CoRR (2023)
Rundong Wang, Longtao Zheng, Wei Qiu, Bowei He, Bo An, Zinovi Rabinovich, Yujing Hu, Yingfeng Chen, Tangjie Lv, Changjie Fan
Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning. CoRR (2023)
Zhuo Li, Yuechen Wu, Lei Ma, Xiaofei Xie, Yingfeng Chen, Changjie Fan
GBGallery : A benchmark and framework for game testing. Empir. Softw. Eng. 27 (6) (2022)
Anjun Chen, Xiangyu Wang, Kun Shi, Shaohao Zhu, Yingfeng Chen, Bin Fang, Jiming Chen, Yuchi Huo, Qi Ye
ImmFusion: Robust mmWave-RGB Fusion for 3D Human Body Reconstruction in All Weather Conditions. CoRR (2022)
Jiafeng Ma, Guangda Chen, Yingfeng Chen, Yujing Hu, Changjie Fan, Jianming Zhang
Distributed Multi-Robot Obstacle Avoidance via Logarithmic Map-based Deep Reinforcement Learning. CoRR (2022)
Wenqi Zhang, Kai Zhao, Peng Li, Xiao Zhu, Yongliang Shen, Yanna Ma, Yingfeng Chen, Weiming Lu
A Closed-Loop Perception, Decision-Making and Reasoning Mechanism for Human-Like Navigation. CoRR (2022)
Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Jinyi Liu, Yingfeng Chen, Changjie Fan
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model. CoRR (2022)
Jinming Ma, Yingfeng Chen, Feng Wu, Xianpeng Ji, Yu Ding
Multimodal Reinforcement Learning with Effective State Representation Learning. AAMAS (2022)
Yunlong Ran, Jing Zeng, Shibo He, Lincheng Li, Yingfeng Chen, Gimhee Lee, Jiming Chen, Qi Ye
NeurAR: Neural Uncertainty for Autonomous 3D Reconstruction. CoRR (2022)
Yixiang Wang, Yujing Hu, Feng Wu, Yingfeng Chen
Automatic Reward Design via Learning Motivation-Consistent Intrinsic Rewards. CoRR (2022)
Wei Qiu, Weixun Wang, Rundong Wang, Bo An, Yujing Hu, Svetlana Obraztsova, Zinovi Rabinovich, Jianye Hao, Yingfeng Chen, Changjie Fan
Off-Beat Multi-Agent Reinforcement Learning. CoRR (2022)
Zihe Song, Yingfeng Chen, Lei Ma, Shangjie Lu, Honglei Lin, Changjie Fan, Wei Yang
An Empirical Analysis of Compatibility Issues for Industrial Mobile Games (Practical Experience Report). ISSRE (2022)
Wenqi Zhang, Kai Zhao, Peng Li, Xiao Zhu, Yongliang Shen, Yanna Ma, Yingfeng Chen, Weiming Lu
A Closed-Loop Perception, Decision-Making and Reasoning Mechanism for Human-Like Navigation. IJCAI (2022)
Ping Tan, Xufeng Li, Zhengguang Wu, Jin Ding, Jien Ma, Yingfeng Chen, Youtong Fang, Yong Ning
Multialgorithm Fusion Image Processing for High Speed Railway Dropper Failure-Defect Detection. IEEE Trans. Syst. Man Cybern. Syst. 51 (7) (2021)
Jiaming Ye, Ke Chen, Xiaofei Xie, Lei Ma, Ruochen Huang, Yingfeng Chen, Yinxing Xue, Jianjun Zhao
An empirical study of GUI widget detection for industrial mobile games. ESEC/SIGSOFT FSE (2021)
Lulu Zheng, Jiarui Chen, Jianhao Wang, Jiamin He, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao, Chongjie Zhang
Episodic Multi-agent Reinforcement Learning with Curiosity-Driven Exploration. CoRR (2021)
Ke Chen, Yufei Li, Yingfeng Chen, Changjie Fan, Zhipeng Hu, Wei Yang
GLIB: towards automated test oracle for graphically-rich applications. ESEC/SIGSOFT FSE (2021)
Ke Chen, Yufei Li, Yingfeng Chen, Changjie Fan, Zhipeng Hu, Wei Yang
GLIB: Towards Automated Test Oracle for Graphically-Rich Applications. CoRR (2021)
Zhaorong Wang, Meng Wang, Jingqi Zhang, Yingfeng Chen, Chongjie Zhang
Reward-Constrained Behavior Cloning. IJCAI (2021)
Lulu Zheng, Jiarui Chen, Jianhao Wang, Jiamin He, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao, Chongjie Zhang
Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration. NeurIPS (2021)
Jin Zhang, Jianhao Wang, Hao Hu, Tong Chen, Yingfeng Chen, Changjie Fan, Chongjie Zhang
MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration. ICML (2021)
Yue Hu, Meng Wang, Yingfeng Chen, Changjie Fan
A Future-Oriented Cache Management for Mobile Games. CoG (2021)
Xiangyu Liu, Hangtian Jia, Ying Wen, Yujing Hu, Yingfeng Chen, Changjie Fan, Zhipeng Hu, Yaodong Yang
Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games. NeurIPS (2021)
Zhao-Hua Li, Yang Yu, Yingfeng Chen, Ke Chen, Zhipeng Hu, Changjie Fan
Neural-to-Tree Policy Distillation with Policy Improvement Criterion. CoRR (2021)
Xiangyu Liu, Hangtian Jia, Ying Wen, Yaodong Yang, Yujing Hu, Yingfeng Chen, Changjie Fan, Zhipeng Hu
Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games. CoRR (2021)
Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Hangyu Mao, Dong Li, Wulong Liu, Yingfeng Chen, Yujing Hu, Changjie Fan, Chengwei Zhang
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning. NeurIPS (2021)
Yujing Hu, Weixun Wang, Hangtian Jia, Yixiang Wang, Yingfeng Chen, Jianye Hao, Feng Wu, Changjie Fan
Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping. CoRR (2020)
Hangtian Jia, Yujing Hu, Yingfeng Chen, Chunxu Ren, Tangjie Lv, Changjie Fan, Chongjie Zhang
Fever Basketball: A Complex, Flexible, and Asynchronized Sports Game Environment for Multi-agent Reinforcement Learning. CoRR (2020)
Yan Song, Yingfeng Chen, Yujing Hu, Changjie Fan
Exploring Unknown States with Action Balance. CoRR (2020)
Guangwu Cui, Ruimin Shen, Yingfeng Chen, Juan Zou, Shengxiang Yang, Changjie Fan, Jinghua Zheng
Reinforced Evolutionary Algorithms for Game Difficulty Control. ACAI (2020)
Ruimin Shen, Yan Zheng, Jianye Hao, Zhaopeng Meng, Yingfeng Chen, Changjie Fan, Yang Liu
Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning. IJCAI (2020)
Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning. AAAI (2020)
Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems. ICLR (2020)
Yuechen Wu, Yingfeng Chen, Xiaofei Xie, Bing Yu, Changjie Fan, Lei Ma
Regression Testing of Massively Multiplayer Online Role-Playing Games. ICSME (2020)
Yaodong Yang, Jianye Hao, Guangyong Chen, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, Zhongyu Wei
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning. ICML (2020)
Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Weixun Wang, Yujing Hu, Yingfeng Chen, Changjie Fan, Zhaodong Wang, Jiajie Peng
Efficient Deep Reinforcement Learning through Policy Transfer. CoRR (2020)
Yujing Hu, Weixun Wang, Hangtian Jia, Yixiang Wang, Yingfeng Chen, Jianye Hao, Feng Wu, Changjie Fan
Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping. NeurIPS (2020)
Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Wulong Liu, Zhaodong Wang, Jiajie Peng
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer. IJCAI (2020)
Yan Song, Yingfeng Chen, Yujing Hu, Changjie Fan
Exploring Unknown States with Action Balance. CoG (2020)
Tianpei Yang, Weixun Wang, Hongyao Tang, Jianye Hao, Zhaopeng Meng, Wulong Liu, Yujing Hu, Yingfeng Chen
Learning When to Transfer among Agents: An Efficient Multiagent Transfer Learning Framework. CoRR (2020)
Yaodong Yang, Jianye Hao, Guangyong Chen, Hongyao Tang, Yingfeng Chen, Yujing Hu, Changjie Fan, Zhongyu Wei
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning. CoRR (2020)
Jin Zhang, Jianhao Wang, Hao Hu, Yingfeng Chen, Changjie Fan, Chongjie Zhang
Learn to Effectively Explore in Context-Based Meta-RL. CoRR (2020)
Jiacheng Zhu, Jiahao Lin, Meng Wang, Yingfeng Chen, Changjie Fan, Chong Jiang, Zongzhang Zhang
Generative Adversarial Imitation Learning from Failed Experiences (Student Abstract). AAAI (2020)
Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Zhaodong Wang, Jiajie Peng
Efficient Deep Reinforcement Learning through Policy Transfer. AAMAS (2020)
Hangtian Jia, Chunxu Ren, Yujing Hu, Yingfeng Chen, Tangjie Lv, Changjie Fan, Hongyao Tang, Jianye Hao
Mastering Basketball With Deep Reinforcement Learning: An Integrated Curriculum Training Approach. AAMAS (2020)
Meng Wang, Yingfeng Chen, Tangjie Lv, Yan Song, Kai Guan, Changjie Fan, Yang Yu
Reinforcement Learning with Action-Specific Focuses in Video Games. CoG (2020)
Yingfeng Chen, Shuyang Zhu, Ming Fan
Evaluation Index System for Agricultural Water Management in Targeted Poverty Alleviation Based on 3E Model. Complex. 2020 (2020)
Yu Chen, Yingfeng Chen, Yu Yang, Ying Li, Jianwei Yin, Changjie Fan
Learning Action-Transferable Policy with Action Embedding. CoRR (2019)
Haotian Fu, Hongyao Tang, Jianye Hao, Zihan Lei, Yingfeng Chen, Changjie Fan
Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces. CoRR (2019)
Yan Zheng, Changjie Fan, Xiaofei Xie, Ting Su, Lei Ma, Jianye Hao, Zhaopeng Meng, Yang Liu, Ruimin Shen, Yingfeng Chen
Wuji: Automatic Online Combat Game Testing Using Evolutionary Deep Reinforcement Learning. ASE (2019)
Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
From Few to More: Large-scale Dynamic Multiagent Curriculum Learning. CoRR (2019)
Wen-Ji Zhou, Yang Yu, Yingfeng Chen, Kai Guan, Tangjie Lv, Changjie Fan, Zhi-Hua Zhou
Reinforcement Learning Experience Reuse with Policy Residual Representation. IJCAI (2019)
Yong Liu, Yujing Hu, Yang Gao, Yingfeng Chen, Changjie Fan
Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns. IJCAI (2019)
Haotian Fu, Hongyao Tang, Jianye Hao, Zihan Lei, Yingfeng Chen, Changjie Fan
Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces. IJCAI (2019)
Yujing Hu, Yingfeng Chen, Changjie Fan, Jianye Hao
Explicitly Coordinated Policy Iteration. IJCAI (2019)
Wen-Ji Zhou, Yang Yu, Yingfeng Chen, Kai Guan, Tangjie Lv, Changjie Fan, Zhi-Hua Zhou
Reinforcement Learning Experience Reuse with Policy Residual Representation. CoRR (2019)
Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems. CoRR (2019)
Hongyao Tang, Jianye Hao, Tangjie Lv, Yingfeng Chen, Zongzhang Zhang, Hangtian Jia, Chunxu Ren, Yan Zheng, Changjie Fan, Li Wang
Hierarchical Deep Multiagent Reinforcement Learning. CoRR (2018)
Kuisong Zheng, Guangda Chen, Guowei Cui, Yingfeng Chen, Feng Wu, Xiaoping Chen
Performance Metrics for Coverage of Cleaning Robots with MoCap System. ICIRA (3) (2017)
Kuisong Zheng, Yingfeng Chen, Feng Wu, Xiaoping Chen
A General Batch-Calibration Framework of Service Robots. ICIRA (3) (2017)
Yingfeng Chen, Feng Wu, Wei Shuai, Ningyang Wang, Rongya Chen, Xiaoping Chen
KeJia Robot-An Attractive Shopping Mall Guider. ICSR (2015)
Yingfeng Chen, Feng Wu, Ningyang Wang, Keke Tang, Min Cheng, Xiaoping Chen
KeJia-LC: A Low-Cost Mobile Robot Platform - Champion of Demo Challenge on Benchmarking Service Robots at RoboCup 2015. RoboCup (2015)
Yingfeng Chen, Wei Shuai, Xiaoping Chen
A probabilistic, variable-resolution and effective quadtree representation for mapping of large environments. ICAR (2015)
Min Cheng, Xiaoping Chen, Keke Tang, Feng Wu, Andras Gabor Kupcsik, Luca Iocchi, Yingfeng Chen, David Hsu
Synthetical Benchmarking of Service Robots: A First Effort on Domestic Mobile Platforms. RoboCup (2015)
Kai Chen, Dongcai Lu, Yingfeng Chen, Keke Tang, Ningyang Wang, Xiaoping Chen
The Intelligent Techniques in Robot KeJia - The Champion of RoboCup@Home 2014. RoboCup (2014)
Yong Tang, Yingfeng Chen, Cheryl F. Lichti, Roger A. Hall, Kevin D. Raney, Steven F. Jennings
CLPM: A Cross-Linked Peptide Mapping Algorithm for Mass Spectrometric Analysis. BMC Bioinform. 6 (S-2) (2005)
Yingfeng Chen, Lianying Zhou
An innovative IDS immune system model. SMC (5) (2004)