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ORCIDYingfeng Chen
Ying-Feng Chen
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[c47]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- [c46]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 - [c45]Jie Hu, Mingyue Zhang, Bo Liu, Yuechen Wu, Yingfeng Chen:
A Language-guided Acceleration Method for Smoke Testing of Game Quests. ISSRE (Workshops) 2024: 7-12 - 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, 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): 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, 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: 2752-2758 - [c40]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: 1393-1404 - [c39]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: 708-716 - [c38]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. 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, 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 abs/2307.15061 (2023) - 2022
- [j5]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): 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, 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: 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, Rundong Wang, Bo An, Yujing Hu, Svetlana Obraztsova, Zinovi Rabinovich, Jianye Hao, Yingfeng Chen, Changjie Fan:
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, 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): 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, Yufei Li, Yingfeng Chen, Changjie Fan, Zhipeng Hu, Wei Yang:
GLIB: towards automated test oracle for graphically-rich applications. ESEC/SIGSOFT FSE 2021: 1093-1104 - [c27]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: 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, Shuyang Zhu, Ming Fan:
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, Changjie Fan, Jinghua Zheng:
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, Bing Yu, Changjie Fan, Lei Ma:
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, Jiajie Peng:
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, Yang Yu, Yingfeng Chen, Kai Guan, Tangjie Lv, Changjie Fan, Zhi-Hua Zhou:
Reinforcement Learning Experience Reuse with Policy Residual Representation. IJCAI 2019: 4447-4453 - [c9]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: 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, Guowei Cui, Yingfeng Chen, Feng Wu, Xiaoping Chen:
Performance Metrics for Coverage of Cleaning Robots with MoCap System. ICIRA (3) 2017: 267-274 - [c7]Kuisong Zheng, Yingfeng Chen, Feng Wu, Xiaoping Chen:
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, 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: 60-71 - [c4]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: 377-388 - [c3]Yingfeng Chen, Feng Wu, Wei Shuai, Ningyang Wang, Rongya Chen, Xiaoping Chen:
KeJia Robot-An Attractive Shopping Mall Guider. ICSR 2015: 145-154 - 2014
- [c2]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: 130-141
2000 – 2009
- 2005
- [j2]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) - [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
[c47] [c46] [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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