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Xuefei Ning
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2020 – today
- 2024
- [j9]Shiyao Li
, Zhenhua Zhu, Hanbo Sun
Toward High-Accuracy and Real-Time Two-Stage Small Object Detection on FPGA. IEEE Trans. Circuits Syst. Video Technol. 34(9): 8053-8066 (2024) - [c37]Ye Mu, Weilin Liu, Chao Yu, Xuefei Ning, Zhong Cao, Zelai Xu, Shuang Liang, Huazhong Yang, Yu Wang:
Multi-Agent Vulnerability Discovery for Autonomous Driving Policy by Finding AV-Responsible Scenarios. CASE 2024: 2320-2327 - [c36]Lin Zhao, Tianchen Zhao, Zinan Lin, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang:
FlashEval: Towards Fast and Accurate Evaluation of Text-to-Image Diffusion Generative Models. CVPR 2024: 16122-16131 - [c35]Tongxin Xie, Tianchen Zhao, Zhenhua Zhu, Xuefei Ning, Bing Li, Guohao Dai, Huazhong Yang, Yu Wang:
DyPIM: Dynamic-Inference-Enabled Processing - In-Memory Accelerator. DATE 2024: 1-6 - [c34]Shulin Zeng
FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs. FPGA 2024: 223-234 - [c33]Junyi Zhu, Zinan Lin, Enshu Liu, Xuefei Ning, Matthew B. Blaschko:
Rescaling Intermediate Features Makes Trained Consistency Models Perform Better. Tiny Papers @ ICLR 2024 - [c32]Enshu Liu, Xuefei Ning, Huazhong Yang, Yu Wang:
A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models. ICLR 2024 - [c31]Xuefei Ning, Zinan Lin, Zixuan Zhou, Zifu Wang, Huazhong Yang, Yu Wang:
Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation. ICLR 2024 - [c30]Shiyao Li, Xuefei Ning, Luning Wang, Tengxuan Liu, Xiangsheng Shi, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang:
Evaluating Quantized Large Language Models. ICML 2024 - [c29]Shiyao Li, Xuefei Ning, Shanghang Zhang, Lidong Guo, Tianchen Zhao, Huazhong Yang, Yu Wang:
TCP: Triplet Contrastive-relationship Preserving for Class-Incremental Learning. WACV 2024: 2020-2029 - [c28]Lin Zhao, Hongxuan Li, Xuefei Ning, Xinru Jiang:
THInImg: Cross-modal Steganography for Presenting Talking Heads in Images. WACV 2024: 5541-5550 - [i42]Shulin Zeng, Jun Liu, Guohao Dai, Xinhao Yang, Tianyu Fu
FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs. CoRR abs/2401.03868 (2024) - [i41]Tao Yuan, Xuefei Ning, Dong Zhou, Zhijie Yang, Shiyao Li, Minghui Zhuang, Zheyue Tan, Zhuyu Yao, Dahua Lin, Boxun Li, Guohao Dai, Shengen Yan, Yu Wang:
LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to 256K. CoRR abs/2402.05136 (2024) - [i40]Shiyao Li, Xuefei Ning, Luning Wang, Tengxuan Liu, Xiangsheng Shi, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang:
Evaluating Quantized Large Language Models. CoRR abs/2402.18158 (2024) - [i39]Lin Zhao, Tianchen Zhao, Zinan Lin, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang:
FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models. CoRR abs/2403.16379 (2024) - [i38]Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Matthew B. Blaschko, Sergey Yekhanin, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang:
Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better. CoRR abs/2404.02241 (2024) - [i37]Zixuan Zhou, Xuefei Ning, Ke Hong, Tianyu Fu, Jiaming Xu, Shiyao Li, Yuming Lou, Luning Wang, Zhihang Yuan, Xiuhong Li, Shengen Yan, Guohao Dai, Xiao-Ping Zhang, Yuhan Dong, Yu Wang:
A Survey on Efficient Inference for Large Language Models. CoRR abs/2404.14294 (2024) - [i36]Yao Teng, Yue Wu, Han Shi, Xuefei Ning, Guohao Dai, Yu Wang, Zhenguo Li, Xihui Liu:
DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis. CoRR abs/2405.14224 (2024) - [i35]Si Xu, Zixiao Huang, Yan Zeng, Shengen Yan, Xuefei Ning, Haolin Ye, Sipei Gu, Chunsheng Shui, Zhezheng Lin, Hao Zhang, Sheng Wang, Guohao Dai, Yu Wang:
HetHub: A Heterogeneous distributed hybrid training system for large-scale models. CoRR abs/2405.16256 (2024) - [i34]Tianchen Zhao, Xuefei Ning, Tongcheng Fang, Enshu Liu, Guyue Huang, Zinan Lin, Shengen Yan, Guohao Dai, Yu Wang:
MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization. CoRR abs/2405.17873 (2024) - [i33]Tianchen Zhao, Tongcheng Fang, Enshu Liu, Rui Wan, Widyadewi Soedarmadji, Shiyao Li, Zinan Lin, Guohao Dai, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang:
ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation. CoRR abs/2406.02540 (2024) - [i32]Zhihang Yuan, Pu Lu, Hanling Zhang, Xuefei Ning, Linfeng Zhang, Tianchen Zhao, Shengen Yan, Guohao Dai, Yu Wang:
DiTFastAttn: Attention Compression for Diffusion Transformer Models. CoRR abs/2406.08552 (2024) - [i31]Xuefei Ning, Zifu Wang, Shiyao Li, Zinan Lin, Peiran Yao, Tianyu Fu, Matthew B. Blaschko, Guohao Dai, Huazhong Yang, Yu Wang:
Can LLMs Learn by Teaching? A Preliminary Study. CoRR abs/2406.14629 (2024) - [i30]Tianyu Fu, Haofeng Huang, Xuefei Ning, Genghan Zhang, Boju Chen, Tianqi Wu, Hongyi Wang, Zixiao Huang, Shiyao Li, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang:
MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression. CoRR abs/2406.14909 (2024) - [i29]Enshu Liu, Junyi Zhu, Zinan Lin, Xuefei Ning, Matthew B. Blaschko, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang:
Efficient Expert Pruning for Sparse Mixture-of-Experts Language Models: Enhancing Performance and Reducing Inference Costs. CoRR abs/2407.00945 (2024) - [i28]Luning Wang, Shiyao Li, Xuefei Ning, Zhihang Yuan, Shengen Yan, Guohao Dai, Yu Wang:
CSKV: Training-Efficient Channel Shrinking for KV Cache in Long-Context Scenarios. CoRR abs/2409.10593 (2024) - [i27]Yao Teng, Han Shi, Xian Liu, Xuefei Ning, Guohao Dai, Yu Wang, Zhenguo Li, Xihui Liu:
Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding. CoRR abs/2410.01699 (2024) - [i26]Qianli Ma, Xuefei Ning, Dongrui Liu, Li Niu, Linfeng Zhang:
Decouple-Then-Merge: Towards Better Training for Diffusion Models. CoRR abs/2410.06664 (2024) - 2023
- [j8]Xuefei Ning
A Generic Graph-Based Neural Architecture Encoding Scheme With Multifaceted Information. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 7955-7969 (2023) - [j7]Hanbo Sun, Zhenhua Zhu, Chenyu Wang, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang:
Gibbon: An Efficient Co-Exploration Framework of NN Model and Processing-In-Memory Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 4075-4089 (2023) - [c27]Xiangsheng Shi, Xuefei Ning, Lidong Guo, Tianchen Zhao, Enshu Liu, Yi Cai, Yuhan Dong, Huazhong Yang, Yu Wang:
Memory-Oriented Structural Pruning for Efficient Image Restoration. AAAI 2023: 2245-2253 - [c26]Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou, Tianchen Zhao, Chen Chen, Jiajin Zhang, Qingmin Liao, Yu Wang:
Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS "Cold-Start". AAAI 2023: 11316-11326 - [c25]Yi Cai, Xuefei Ning, Huazhong Yang, Yu Wang:
Ensemble-in-One: Ensemble Learning within Random Gated Networks for Enhanced Adversarial Robustness. AAAI 2023: 14738-14747 - [c24]Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Yali Zhao, Linfeng Zhang, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang:
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection. ICCV 2023: 17682-17692 - [c23]Enshu Liu, Xuefei Ning, Zinan Lin, Huazhong Yang, Yu Wang:
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models. ICML 2023: 21915-21936 - [c22]Shulin Zeng
DF-GAS: a Distributed FPGA-as-a-Service Architecture towards Billion-Scale Graph-based Approximate Nearest Neighbor Search. MICRO 2023: 283-296 - [c21]Zifu Wang, Xuefei Ning, Matthew B. Blaschko:
Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels. NeurIPS 2023 - [i25]Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou, Tianchen Zhao, Chen Chen, Jiajin Zhang, Qingmin Liao, Yu Wang:
Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS "Cold-Start". CoRR abs/2302.00932 (2023) - [i24]Enshu Liu, Xuefei Ning, Zinan Lin, Huazhong Yang, Yu Wang:
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models. CoRR abs/2306.08860 (2023) - [i23]Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Yali Zhao, Linfeng Zhang, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang:
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection. CoRR abs/2307.08209 (2023) - [i22]Xuefei Ning, Zinan Lin, Zixuan Zhou, Huazhong Yang, Yu Wang:
Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding. CoRR abs/2307.15337 (2023) - [i21]Lin Zhao, Hongxuan Li, Xuefei Ning, Xinru Jiang:
THInImg: Cross-modal Steganography for Presenting Talking Heads in Images. CoRR abs/2311.17177 (2023) - [i20]Enshu Liu, Xuefei Ning, Huazhong Yang, Yu Wang:
A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models. CoRR abs/2312.07243 (2023) - 2022
- [j6]Kai Zhong
Exploring the Potential of Low-Bit Training of Convolutional Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(12): 5421-5434 (2022) - [c20]Tianchen Zhao, Niansong Zhang, Xuefei Ning, He Wang, Li Yi, Yu Wang:
CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance. CVPR 2022: 1425-1434 - [c19]Wenshuo Li, Xinghao Chen, Jinyu Bai, Xuefei Ning, Yunhe Wang:
Searching for Energy-Efficient Hybrid Adder-Convolution Neural Networks. CVPR Workshops 2022: 1942-1951 - [c18]Minxue Tang, Xuefei Ning, Yitu Wang, Jingwei Sun, Yu Wang, Hai Helen Li, Yiran Chen:
FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning. CVPR 2022: 10092-10101 - [c17]Hanbo Sun, Chenyu Wang, Zhenhua Zhu, Xuefei Ning, Guohao Dai, Huazhong Yang, Yu Wang:
Gibbon: Efficient Co-Exploration of NN Model and Processing-In-Memory Architecture. DATE 2022: 867-872 - [c16]Zixuan Zhou, Xuefei Ning, Yi Cai, Jiashu Han, Yiping Deng, Yuhan Dong, Huazhong Yang, Yu Wang:
CLOSE: Curriculum Learning on the Sharing Extent Towards Better One-Shot NAS. ECCV (20) 2022: 578-594 - [c15]Yu Wang, Shulin Zeng, Kaiyuan Guo, Xuefei Ning, Yali Zhao, Zhongyuan Qiu, Changcheng Tang, Shuang Liang, Huazhong Yang:
Efficient Autonomous Driving System Design: From Software to Hardware. ISVLSI 2022: 373-375 - [c14]Xuefei Ning, Zixuan Zhou, Junbo Zhao, Tianchen Zhao, Yiping Deng, Changcheng Tang, Shuang Liang, Huazhong Yang, Yu Wang:
TA-GATES: An Encoding Scheme for Neural Network Architectures. NeurIPS 2022 - [c13]Cheng Liu, Zhen Gao, Siting Liu
Special Session: Fault-Tolerant Deep Learning: A Hierarchical Perspective. VTS 2022: 1-12 - [i19]Tianchen Zhao, Niansong Zhang, Xuefei Ning, He Wang, Li Yi, Yu Wang:
CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance. CoRR abs/2203.09887 (2022) - [i18]Cheng Liu, Zhen Gao, Siting Liu, Xuefei Ning, Huawei Li, Xiaowei Li:
Fault-Tolerant Deep Learning: A Hierarchical Perspective. CoRR abs/2204.01942 (2022) - [i17]Zixuan Zhou, Xuefei Ning, Yi Cai, Jiashu Han, Yiping Deng, Yuhan Dong, Huazhong Yang, Yu Wang:
CLOSE: Curriculum Learning On the Sharing Extent Towards Better One-shot NAS. CoRR abs/2207.07868 (2022) - 2021
- [j5]Guyue Huang, Jingbo Hu, Yifan He, Jialong Liu, Mingyuan Ma, Zhaoyang Shen, Juejian Wu, Yuanfan Xu, Hengrui Zhang, Kai Zhong, Xuefei Ning, Yuzhe Ma, Haoyu Yang, Bei Yu, Huazhong Yang, Yu Wang:
Machine Learning for Electronic Design Automation: A Survey. ACM Trans. Design Autom. Electr. Syst. 26(5): 40:1-40:46 (2021) - [j4]Xuefei Ning, Guangjun Ge, Wenshuo Li, Zhenhua Zhu, Yin Zheng, Xiaoming Chen, Zhen Gao, Yu Wang, Huazhong Yang:
FTT-NAS: Discovering Fault-tolerant Convolutional Neural Architecture. ACM Trans. Design Autom. Electr. Syst. 26(6): 44:1-44:24 (2021) - [c12]Shuang Liang, Changcheng Tang, Xuefei Ning, Shulin Zeng, Jincheng Yu, Yu Wang, Kaiyuan Guo, Diange Yang, Tianyi Lu, Huazhong Yang:
Efficient Computing Platform Design for Autonomous Driving Systems. ASP-DAC 2021: 734-741 - [c11]Xuefei Ning, Changcheng Tang, Wenshuo Li, Zixuan Zhou, Shuang Liang, Huazhong Yang, Yu Wang:
Evaluating Efficient Performance Estimators of Neural Architectures. NeurIPS 2021: 12265-12277 - [i16]Guyue Huang, Jingbo Hu, Yifan He, Jialong Liu, Mingyuan Ma, Zhaoyang Shen, Juejian Wu, Yuanfan Xu, Hengrui Zhang, Kai Zhong, Xuefei Ning, Yuzhe Ma, Haoyu Yang, Bei Yu, Huazhong Yang, Yu Wang:
Machine Learning for Electronic Design Automation: A Survey. CoRR abs/2102.03357 (2021) - [i15]Minxue Tang, Xuefei Ning, Yitu Wang, Yu Wang, Yiran Chen:
FedGP: Correlation-Based Active Client Selection for Heterogeneous Federated Learning. CoRR abs/2103.13822 (2021) - [i14]Yi Cai, Xuefei Ning, Huazhong Yang, Yu Wang:
Ensemble-in-One: Learning Ensemble within Random Gated Networks for Enhanced Adversarial Robustness. CoRR abs/2103.14795 (2021) - [i13]Nianhui Guo, Joseph Bethge, Haojin Yang, Kai Zhong, Xuefei Ning, Christoph Meinel, Yu Wang:
BoolNet: Minimizing The Energy Consumption of Binary Neural Networks. CoRR abs/2106.06991 (2021) - [i12]Weilin Liu, Ye Mu, Chao Yu, Xuefei Ning, Zhong Cao, Yi Wu, Shuang Liang, Huazhong Yang, Yu Wang:
Multi-Agent Vulnerability Discovery for Autonomous Driving with Hazard Arbitration Reward. CoRR abs/2112.06185 (2021) - 2020
- [j3]Xuefei Ning
Nonparametric Topic Modeling with Neural Inference. Neurocomputing 399: 296-306 (2020) - [c10]Wenshuo Li, Xuefei Ning
FTT-NAS: Discovering Fault-Tolerant Neural Architecture. ASP-DAC 2020: 211-216 - [c9]Shulin Zeng, Hanbo Sun, Yu Xing
Black Box Search Space Profiling for Accelerator-Aware Neural Architecture Search. ASP-DAC 2020: 518-523 - [c8]Xuefei Ning
A Generic Graph-Based Neural Architecture Encoding Scheme for Predictor-Based NAS. ECCV (13) 2020: 189-204 - [c7]Xuefei Ning
DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation. ECCV (3) 2020: 592-607 - [i11]Xuefei Ning
FTT-NAS: Discovering Fault-Tolerant Neural Architecture. CoRR abs/2003.10375 (2020) - [i10]Xuefei Ning
A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS. CoRR abs/2004.01899 (2020) - [i9]Xuefei Ning
DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation. CoRR abs/2004.02164 (2020) - [i8]Kai Zhong, Tianchen Zhao, Xuefei Ning, Shulin Zeng, Kaiyuan Guo, Yu Wang, Huazhong Yang:
Towards Lower Bit Multiplication for Convolutional Neural Network Training. CoRR abs/2006.02804 (2020) - [i7]Tong Wu, Xuefei Ning, Wenshuo Li, Ranran Huang, Huazhong Yang, Yu Wang:
Physical Adversarial Attack on Vehicle Detector in the Carla Simulator. CoRR abs/2007.16118 (2020) - [i6]Xuefei Ning, Wenshuo Li, Zixuan Zhou, Tianchen Zhao, Yin Zheng, Shuang Liang, Huazhong Yang, Yu Wang:
A Surgery of the Neural Architecture Evaluators. CoRR abs/2008.03064 (2020) - [i5]Tianchen Zhao, Xuefei Ning, Songyi Yang, Shuang Liang, Peng Lei, Jianfei Chen, Huazhong Yang, Yu Wang:
BARS: Joint Search of Cell Topology and Layout for Accurate and Efficient Binary ARchitectures. CoRR abs/2011.10804 (2020) - [i4]Xuefei Ning, Changcheng Tang, Wenshuo Li, Songyi Yang, Tianchen Zhao, Niansong Zhang, Tianyi Lu, Shuang Liang, Huazhong Yang, Yu Wang:
aw_nas: A Modularized and Extensible NAS framework. CoRR abs/2012.10388 (2020) - [i3]Xuefei Ning, Junbo Zhao, Wenshuo Li, Tianchen Zhao, Huazhong Yang, Yu Wang:
Multi-shot NAS for Discovering Adversarially Robust Convolutional Neural Architectures at Targeted Capacities. CoRR abs/2012.11835 (2020)
2010 – 2019
- 2019
- [j2]Lixue Xia
Fault-Tolerant Training Enabled by On-Line Fault Detection for RRAM-Based Neural Computing Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(9): 1611-1624 (2019) - [c6]Kaiyuan Guo, Shuang Liang, Jincheng Yu, Xuefei Ning, Wenshuo Li, Yu Wang, Huazhong Yang:
Compressed CNN Training with FPGA-based Accelerator. FPGA 2019: 189 - 2018
- [j1]Jincheng Yu
Instruction Driven Cross-layer CNN Accelerator for Fast Detection on FPGA. ACM Trans. Reconfigurable Technol. Syst. 11(3): 22:1-22:23 (2018) - [c5]Jincheng Yu, Kaiyuan Guo, Yiming Hu, Xuefei Ning, Jiantao Qiu, Huizi Mao, Song Yao, Tianqi Tang, Boxun Li, Yu Wang, Huazhong Yang:
Real-time object detection towards high power efficiency. DATE 2018: 704-708 - [c4]Kaiyuan Guo, Jincheng Yu, Xuefei Ning, Yiming Hu, Yu Wang, Huazhong Yang:
RRAM Based Buffer Design for Energy Efficient CNN Accelerator. ISVLSI 2018: 435-440 - [c3]Wenshuo Li, Jincheng Yu, Xuefei Ning, Pengjun Wang, Qi Wei, Yu Wang, Huazhong Yang:
Hu-Fu: Hardware and Software Collaborative Attack Framework Against Neural Networks. ISVLSI 2018: 482-487 - [i2]Wenshuo Li, Jincheng Yu, Xuefei Ning, Pengjun Wang, Qi Wei, Yu Wang, Huazhong Yang:
Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks. CoRR abs/1805.05098 (2018) - [i1]Xuefei Ning, Yin Zheng, Zhuxi Jiang, Yu Wang, Huazhong Yang, Junzhou Huang:
Nonparametric Topic Modeling with Neural Inference. CoRR abs/1806.06583 (2018) - 2017
- [c2]Lixue Xia
Fault-Tolerant Training with On-Line Fault Detection for RRAM-Based Neural Computing Systems. DAC 2017: 33:1-33:6 - [c1]Jincheng Yu, Yiming Hu, Xuefei Ning, Jiantao Qiu, Kaiyuan Guo, Yu Wang, Huazhong Yang:
Instruction driven cross-layer CNN accelerator with winograd transformation on FPGA. FPT 2017: 227-230
Coauthor Index
[j9] [c36] [c35] [c34] [c32] [c31] [c30] [c29] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [j8] [j7] [c27] [c26] [c25] [c24] [c23] [c22] [i25] [i24] [i23] [i22] [i20] [j6] [c20] [c18] [c17] [c16] [c15] [c14] [i19] [i17] [j5] [j4] [c12] [c11] [i16] [i15] [i14] [i13] [i12] [j3] [c10] [c9] [c8] [c7] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [j2] [c6] [j1] [c5] [c4] [c3] [i2] [i1] [c2] [c1]
[j9] [c37] [c36] [c35] [c32] [c31] [c30] [c29] [i40] [i39] [i38] [i33] [i31] [i30] [i29] [j8] [j7] [c27] [c25] [c24] [c23] [c22] [i24] [i23] [i22] [i20] [j6] [c17] [c16] [c15] [c14] [i17] [j5] [j4] [c12] [c11] [i16] [i14] [i12] [j3] [c10] [c9] [c8] [c7] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [c6] [j1] [c5] [c4] [c3] [i2] [i1] [c1]
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