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Yingfeng Chen
Ying-Feng Chen
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2020 – today
- 2024
- [c46]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: 2198-2200 - [c45]Jilin Tang, Lincheng Li, Xingqun Qi, Yingfeng Chen, Changjie Fan, Xin Yu:
AS-NeRF: Learning Auxiliary Sampling for Generalizable Novel View Synthesis from Sparse Views. ICME 2024: 1-6 - 2023
- [j7]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): 45 (2023) - [j6]Yunlong Ran
, Jing Zeng
NeurAR: Neural Uncertainty for Autonomous 3D Reconstruction With Implicit Neural Representations. IEEE Robotics Autom. Lett. 8(2): 1125-1132 (2023) - [c44]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: 2424-2426 - [c43]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 - [c42]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 - [c41]Anjun Chen, Xiangyu Wang, Kun Shi
ImmFusion: Robust mmWave-RGB Fusion for 3D Human Body Reconstruction in All Weather Conditions. ICRA 2023: 2752-2758 - [c40]Jiongchi Yu
GameRTS: A Regression Testing Framework for Video Games. ICSE 2023: 1393-1404 - [c39]Guangda Chen
Modeling and Control of General Hydraulic Excavator for Human-in-the-loop Automation. ICTAI 2023: 708-716 - [c38]Zhiheng Peng, Kai Zhao
See Through the Inside and Outside: Human Body and Anatomical Skeleton Prediction Network. VR Workshops 2023: 915-916 - [i28]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 abs/2301.11490 (2023) - [i27]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 abs/2302.03429 (2023) - [i26]Jinming Ma, Feng Wu, Yingfeng Chen, Xianpeng Ji, Yu Ding:
Effective Multimodal Reinforcement Learning with Modality Alignment and Importance Enhancement. CoRR abs/2302.09318 (2023) - [i25]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
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation. CoRR abs/2307.15061 (2023) - 2022
- [j5]Zhuo Li, Yuechen Wu, Lei Ma, Xiaofei Xie
GBGallery : A benchmark and framework for game testing. Empir. Softw. Eng. 27(6): 140 (2022) - [c37]Jinming Ma, Yingfeng Chen, Feng Wu, Xianpeng Ji, Yu Ding:
Multimodal Reinforcement Learning with Effective State Representation Learning. AAMAS 2022: 1684-1686 - [c36]Wenqi Zhang
A Closed-Loop Perception, Decision-Making and Reasoning Mechanism for Human-Like Navigation. IJCAI 2022: 4717-4724 - [c35]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: 217-228 - [i24]Wei Qiu, Weixun Wang
Off-Beat Multi-Agent Reinforcement Learning. CoRR abs/2205.13718 (2022) - [i23]Yunlong Ran, Jing Zeng, Shibo He, Lincheng Li, Yingfeng Chen, Gimhee Lee, Jiming Chen, Qi Ye:
NeurAR: Neural Uncertainty for Autonomous 3D Reconstruction. CoRR abs/2207.10985 (2022) - [i22]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 abs/2207.11901 (2022) - [i21]Yixiang Wang, Yujing Hu, Feng Wu, Yingfeng Chen:
Automatic Reward Design via Learning Motivation-Consistent Intrinsic Rewards. CoRR abs/2207.14722 (2022) - [i20]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 abs/2209.06622 (2022) - [i19]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 abs/2210.00498 (2022) - [i18]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 abs/2210.01346 (2022) - 2021
- [j4]Ping Tan
Multialgorithm Fusion Image Processing for High Speed Railway Dropper Failure-Defect Detection. IEEE Trans. Syst. Man Cybern. Syst. 51(7): 4466-4478 (2021) - [c34]Yue Hu, Meng Wang, Yingfeng Chen, Changjie Fan:
A Future-Oriented Cache Management for Mobile Games. CoG 2021: 1-8 - [c33]Jin Zhang, Jianhao Wang, Hao Hu, Tong Chen, Yingfeng Chen, Changjie Fan, Chongjie Zhang:
MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration. ICML 2021: 12600-12610 - [c32]Zhaorong Wang, Meng Wang, Jingqi Zhang, Yingfeng Chen, Chongjie Zhang:
Reward-Constrained Behavior Cloning. IJCAI 2021: 3169-3175 - [c31]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: 941-952 - [c30]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: 3757-3769 - [c29]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: 17037-17048 - [c28]Ke Chen
GLIB: towards automated test oracle for graphically-rich applications. ESEC/SIGSOFT FSE 2021: 1093-1104 - [c27]Jiaming Ye
An empirical study of GUI widget detection for industrial mobile games. ESEC/SIGSOFT FSE 2021: 1427-1437 - [i17]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 abs/2106.04958 (2021) - [i16]Ke Chen, Yufei Li, Yingfeng Chen, Changjie Fan, Zhipeng Hu, Wei Yang:
GLIB: Towards Automated Test Oracle for Graphically-Rich Applications. CoRR abs/2106.10507 (2021) - [i15]Zhao-Hua Li, Yang Yu, Yingfeng Chen, Ke Chen, Zhipeng Hu, Changjie Fan:
Neural-to-Tree Policy Distillation with Policy Improvement Criterion. CoRR abs/2108.06898 (2021) - [i14]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 abs/2111.11032 (2021) - 2020
- [j3]Yingfeng Chen
Evaluation Index System for Agricultural Water Management in Targeted Poverty Alleviation Based on 3E Model. Complex. 2020: 8854462:1-8854462:8 (2020) - [c26]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: 7293-7300 - [c25]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: 13997-13998 - [c24]Guangwu Cui, Ruimin Shen, Yingfeng Chen, Juan Zou, Shengxiang Yang
Reinforced Evolutionary Algorithms for Game Difficulty Control. ACAI 2020: 33:1-33:7 - [c23]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: 1872-1874 - [c22]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: 2053-2055 - [c21]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: 9-16 - [c20]Yan Song, Yingfeng Chen, Yujing Hu, Changjie Fan:
Exploring Unknown States with Action Balance. CoG 2020: 184-191 - [c19]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 - [c18]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: 10706-10715 - [c17]Yuechen Wu, Yingfeng Chen, Xiaofei Xie
Regression Testing of Massively Multiplayer Online Role-Playing Games. ICSME 2020: 692-696 - [c16]Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Wulong Liu, Zhaodong Wang
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer. IJCAI 2020: 3094-3100 - [c15]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: 3371-3377 - [c14]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 - [i13]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 abs/2002.03950 (2020) - [i12]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 abs/2002.08030 (2020) - [i11]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 abs/2002.08037 (2020) - [i10]Yan Song, Yingfeng Chen, Yujing Hu, Changjie Fan:
Exploring Unknown States with Action Balance. CoRR abs/2003.04518 (2020) - [i9]Jin Zhang, Jianhao Wang, Hao Hu, Yingfeng Chen, Changjie Fan, Chongjie Zhang:
Learn to Effectively Explore in Context-Based Meta-RL. CoRR abs/2006.08170 (2020) - [i8]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 abs/2011.02669 (2020) - [i7]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 abs/2012.03204 (2020)
2010 – 2019
- 2019
- [c13]Yujing Hu, Yingfeng Chen, Changjie Fan, Jianye Hao:
Explicitly Coordinated Policy Iteration. IJCAI 2019: 357-363 - [c12]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: 457-463 - [c11]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: 2329-2335 - [c10]Wen-Ji Zhou
Reinforcement Learning Experience Reuse with Policy Residual Representation. IJCAI 2019: 4447-4453 - [c9]Yan Zheng
Wuji: Automatic Online Combat Game Testing Using Evolutionary Deep Reinforcement Learning. ASE 2019: 772-784 - [i6]Haotian Fu, Hongyao Tang, Jianye Hao, Zihan Lei, Yingfeng Chen, Changjie Fan:
Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces. CoRR abs/1903.04959 (2019) - [i5]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 abs/1905.13719 (2019) - [i4]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 abs/1907.11461 (2019) - [i3]Yu Chen, Yingfeng Chen, Yu Yang, Ying Li, Jianwei Yin, Changjie Fan:
Learning Action-Transferable Policy with Action Embedding. CoRR abs/1909.02291 (2019) - [i2]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 abs/1909.02790 (2019) - 2018
- [i1]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 abs/1809.09332 (2018) - 2017
- [c8]Kuisong Zheng, Guangda Chen
Performance Metrics for Coverage of Cleaning Robots with MoCap System. ICIRA (3) 2017: 267-274 - [c7]Kuisong Zheng, Yingfeng Chen, Feng Wu
A General Batch-Calibration Framework of Service Robots. ICIRA (3) 2017: 275-286 - 2015
- [c6]Yingfeng Chen, Wei Shuai, Xiaoping Chen:
A probabilistic, variable-resolution and effective quadtree representation for mapping of large environments. ICAR 2015: 605-610 - [c5]Yingfeng Chen, Feng Wu
KeJia-LC: A Low-Cost Mobile Robot Platform - Champion of Demo Challenge on Benchmarking Service Robots at RoboCup 2015. RoboCup 2015: 60-71 - [c4]Min Cheng, Xiaoping Chen, Keke Tang
Synthetical Benchmarking of Service Robots: A First Effort on Domestic Mobile Platforms. RoboCup 2015: 377-388 - [c3]Yingfeng Chen, Feng Wu
KeJia Robot-An Attractive Shopping Mall Guider. ICSR 2015: 145-154 - 2014
- [c2]Kai Chen, Dongcai Lu, Yingfeng Chen, Keke Tang
The Intelligent Techniques in Robot KeJia - The Champion of RoboCup@Home 2014. RoboCup 2014: 130-141
2000 – 2009
- 2005
- [j2]Yong Tang, Yingfeng Chen, Cheryl F. Lichti
CLPM: A Cross-Linked Peptide Mapping Algorithm for Mass Spectrometric Analysis. BMC Bioinform. 6(S-2) (2005) - [j1]Yueh-Cheng Chen, Ying-Feng Chen, Chien-Ching Chiu, Chin-Yung Chang:
Image reconstruction of a buried perfectly conducting cylinder illuminated by transverse electric waves. Int. J. Imaging Syst. Technol. 15(6): 261-265 (2005) - 2004
- [c1]Yingfeng Chen, Lianying Zhou:
An innovative IDS immune system model. SMC (5) 2004: 4810-4814
Coauthor Index
[c46] [c45] [j7] [c44] [c42] [c39] [c38] [i27] [j5] [c35] [i24] [i20] [i19] [c34] [c33] [c31] [c30] [c29] [c28] [i17] [i16] [i15] [i14] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [i13] [i11] [i10] [i9] [i8] [i7] [c13] [c12] [c11] [c10] [c9] [i6] [i5] [i4] [i3] [i2] [i1]
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