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Tingyang Xu
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2020 – today
- 2024
- [j15]Junchi Yu
, Tingyang Xu
Recognizing Predictive Substructures With Subgraph Information Bottleneck. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1650-1663 (2024) - [j14]Jiaqi Han, Wenbing Huang, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang:
Structure-Aware DropEdge Toward Deep Graph Convolutional Networks. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15565-15577 (2024) - [c41]Tian Bian, Yifan Niu, Heng Chang, Divin Yan, Junzhou Huang, Yu Rong, Tingyang Xu, Jia Li, Hong Cheng:
Hierarchical Graph Latent Diffusion Model for Conditional Molecule Generation. CIKM 2024: 130-140 - [c40]Jie Tan, Yu Rong, Kangfei Zhao, Tian Bian, Tingyang Xu, Junzhou Huang, Hong Cheng, Helen Meng:
Natural Language-Assisted Multi-modal Medication Recommendation. CIKM 2024: 2200-2209 - [c39]Yang Liu, Jiashun Cheng, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li, Yu Rong:
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases. ICLR 2024 - [c38]Ziqiao Meng, Liang Zeng, Zixing Song, Tingyang Xu, Peilin Zhao, Irwin King:
Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations. IJCAI 2024: 5981-5989 - [i47]Haoyu Wang, Guozheng Ma, Ziqiao Meng, Zeyu Qin, Li Shen, Zhong Zhang, Bingzhe Wu
Step-On-Feet Tuning: Scaling Self-Alignment of LLMs via Bootstrapping. CoRR abs/2402.07610 (2024) - [i46]Jiaqi Han, Jiacheng Cen, Liming Wu, Zongzhao Li, Xiangzhe Kong, Rui Jiao, Ziyang Yu, Tingyang Xu
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications. CoRR abs/2403.00485 (2024) - 2023
- [j13]Chengzhi Piao, Tingyang Xu
Computing Graph Edit Distance via Neural Graph Matching. Proc. VLDB Endow. 16(8): 1817-1829 (2023) - [j12]Honghu Pan, Yongyong Chen
Toward Complete-View and High-Level Pose-Based Gait Recognition. IEEE Trans. Inf. Forensics Secur. 18: 2104-2118 (2023) - [j11]Heng Chang
Adversarial Attack Framework on Graph Embedding Models With Limited Knowledge. IEEE Trans. Knowl. Data Eng. 35(5): 4499-4513 (2023) - [j10]Xuefeng Du, Tian Bian, Yu Rong, Bo Han, Tongliang Liu, Tingyang Xu, Wenbing Huang, Yixuan Li, Junzhou Huang:
Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions. Trans. Mach. Learn. Res. 2023 (2023) - [c37]Lei Huang
MDM: Molecular Diffusion Model for 3D Molecule Generation. AAAI 2023: 5105-5112 - [c36]Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Lanqing Li, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li:
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder. AAAI 2023: 7651-7659 - [c35]Yuanfeng Ji, Lu Zhang, Jiaxiang Wu, Bingzhe Wu, Lanqing Li, Long-Kai Huang, Tingyang Xu, Yu Rong, Jie Ren, Ding Xue, Houtim Lai, Wei Liu, Junzhou Huang, Shuigeng Zhou, Ping Luo, Peilin Zhao, Yatao Bian:
DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - a Focus on Affinity Prediction Problems with Noise Annotations. AAAI 2023: 8023-8031 - [c34]Yang Liu, Yu Rong, Zhuoning Guo, Nuo Chen, Tingyang Xu, Fugee Tsung, Jia Li:
Human Mobility Modeling during the COVID-19 Pandemic via Deep Graph Diffusion Infomax. AAAI 2023: 14347-14355 - [c33]Tian Bian, Yuli Jiang
Decision Support System for Chronic Diseases Based on Drug-Drug Interactions. ICDE 2023: 3467-3480 - [c32]Hanwen Liu
Curriculum Graph Poisoning. WWW 2023: 2011-2021 - [i45]Tian Bian, Yuli Jiang
Decision Support System for Chronic Diseases Based on Drug-Drug Interactions. CoRR abs/2303.02405 (2023) - [i44]Hengtong Zhang, Tingyang Xu
Towards Controllable Diffusion Models via Reward-Guided Exploration. CoRR abs/2304.07132 (2023) - [i43]Jiaqi Han, Wenbing Huang, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang:
Structure-Aware DropEdge Towards Deep Graph Convolutional Networks. CoRR abs/2306.12091 (2023) - [i42]Yang Liu, Jiashun Cheng, Haihong Zhao, Tingyang Xu
Physics-Inspired Neural Graph ODE for Long-term Dynamical Simulation. CoRR abs/2308.13212 (2023) - [i41]Qichao Wang, Tian Bian, Yian Yin, Tingyang Xu
Language Agents for Detecting Implicit Stereotypes in Text-to-image Models at Scale. CoRR abs/2310.11778 (2023) - 2022
- [j9]Jiacheng Xiong, Zhaojun Li, Guangchao Wang, Zunyun Fu, Feisheng Zhong, Tingyang Xu
Multi-instance learning of graph neural networks for aqueous pKa prediction. Bioinform. 38(3): 792-798 (2022) - [j8]Hehuan Ma
Cross-dependent graph neural networks for molecular property prediction. Bioinform. 38(7): 2003-2009 (2022) - [j7]Xiaochu Tong, Dingyan Wang, Xiaoyu Ding, Xiaoqin Tan, Qun Ren, Geng Chen, Yu Rong, Tingyang Xu
Blood-brain barrier penetration prediction enhanced by uncertainty estimation. J. Cheminformatics 14(1): 44 (2022) - [j6]Junchi Yu
Structure-aware conditional variational auto-encoder for constrained molecule optimization. Pattern Recognit. 126: 108581 (2022) - [c31]Wenbing Huang, Jiaqi Han, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang:
Equivariant Graph Mechanics Networks with Constraints. ICLR 2022 - [c30]Yatao Bian
Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning. ICLR 2022 - [c29]Songtao Liu, Rex Ying, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu:
Local Augmentation for Graph Neural Networks. ICML 2022: 14054-14072 - [c28]Kuangqi Zhou, Kaixin Wang, Jian Tang, Jiashi Feng, Bryan Hooi, Peilin Zhao, Tingyang Xu, Xinchao Wang:
Jointly Modelling Uncertainty and Diversity for Active Molecular Property Prediction. LoG 2022: 29 - [c27]Jiaqi Han, Wenbing Huang, Tingyang Xu, Yu Rong:
Equivariant Graph Hierarchy-Based Neural Networks. NeurIPS 2022 - [c26]Zijing Ou, Tingyang Xu, Qinliang Su, Yingzhen Li, Peilin Zhao, Yatao Bian:
Learning Neural Set Functions Under the Optimal Subset Oracle. NeurIPS 2022 - [c25]Erxue Min
Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer. SIGIR 2022: 353-362 - [c24]Yuzhao Chen, Yatao Bian, Jiying Zhang, Xi Xiao, Tingyang Xu, Yu Rong:
Diversified Multiscale Graph Learning with Graph Self-Correction. TAG-ML 2022: 48-54 - [c23]Erxue Min
Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media. WWW 2022: 1148-1158 - [i40]Yuanfeng Ji, Lu Zhang, Jiaxiang Wu, Bingzhe Wu, Long-Kai Huang, Tingyang Xu, Yu Rong, Lanqing Li, Jie Ren, Ding Xue, Houtim Lai, Shaoyong Xu, Jing Feng, Wei Liu, Ping Luo, Shuigeng Zhou, Junzhou Huang, Peilin Zhao, Yatao Bian:
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery - A Focus on Affinity Prediction Problems with Noise Annotations. CoRR abs/2201.09637 (2022) - [i39]Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Peilin Zhao, Junzhou Huang, Da Luo, Kangyi Lin, Sophia Ananiadou:
Masked Transformer for Neighhourhood-aware Click-Through Rate Prediction. CoRR abs/2201.13311 (2022) - [i38]Jiaqi Han, Yu Rong, Tingyang Xu, Wenbing Huang:
Geometrically Equivariant Graph Neural Networks: A Survey. CoRR abs/2202.07230 (2022) - [i37]Erxue Min, Runfa Chen, Yatao Bian, Tingyang Xu, Kangfei Zhao, Wenbing Huang, Peilin Zhao, Junzhou Huang, Sophia Ananiadou, Yu Rong:
Transformer for Graphs: An Overview from Architecture Perspective. CoRR abs/2202.08455 (2022) - [i36]Jiaqi Han, Yu Rong, Tingyang Xu, Fuchun Sun, Wenbing Huang:
Equivariant Graph Hierarchy-Based Neural Networks. CoRR abs/2202.10643 (2022) - [i35]Zijing Ou, Tingyang Xu, Qinliang Su, Yingzhen Li, Peilin Zhao, Yatao Bian:
Learning Set Functions Under the Optimal Subset Oracle via Equivariant Variational Inference. CoRR abs/2203.01693 (2022) - [i34]Wenbing Huang, Jiaqi Han, Yu Rong, Tingyang Xu
Equivariant Graph Mechanics Networks with Constraints. CoRR abs/2203.06442 (2022) - [i33]Runfa Chen, Yu Rong, Shangmin Guo, Jiaqi Han, Fuchun Sun, Tingyang Xu
Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation. CoRR abs/2203.07988 (2022) - [i32]Jiying Zhang, Fuyang Li, Xi Xiao, Tingyang Xu
Hypergraph Convolutional Networks via Equivalency between Hypergraphs and Undirected Graphs. CoRR abs/2203.16939 (2022) - [i31]Qianggang Ding, Deheng Ye, Tingyang Xu
GPN: A Joint Structural Learning Framework for Graph Neural Networks. CoRR abs/2205.05964 (2022) - [i30]Bingzhe Wu
A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. CoRR abs/2205.10014 (2022) - [i29]Kuangqi Zhou, Kaixin Wang, Jiashi Feng, Jian Tang, Tingyang Xu
Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction. CoRR abs/2205.11279 (2022) - [i28]Xueyi Liu, Yu Rong, Tingyang Xu
Similarity-aware Positive Instance Sampling for Graph Contrastive Pre-training. CoRR abs/2206.11959 (2022) - [i27]Lei Huang, Hengtong Zhang, Tingyang Xu
MDM: Molecular Diffusion Model for 3D Molecule Generation. CoRR abs/2209.05710 (2022) - [i26]Honghu Pan, Yongyong Chen
Towards Complete-View and High-Level Pose-based Gait Recognition. CoRR abs/2209.11577 (2022) - [i25]Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Tingyang Xu
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder. CoRR abs/2211.16771 (2022) - [i24]Yang Liu, Yu Rong, Zhuoning Guo, Nuo Chen, Tingyang Xu
Human Mobility Modeling During the COVID-19 Pandemic via Deep Graph Diffusion Infomax. CoRR abs/2212.05707 (2022) - 2021
- [j5]Qifeng Bai
MolAICal: a soft tool for 3D drug design of protein targets by artificial intelligence and classical algorithm. Briefings Bioinform. 22(3) (2021) - [j4]Chen Cui, Xiaoyu Ding, Dingyan Wang, Lifan Chen
Drug repurposing against breast cancer by integrating drug-exposure expression profiles and drug-drug links based on graph neural network. Bioinform. 37(18): 2930-2937 (2021) - [j3]Kelong Mao, Xi Xiao, Tingyang Xu, Yu Rong
Molecular graph enhanced transformer for retrosynthesis prediction. Neurocomputing 457: 193-202 (2021) - [j2]Fei Dou
A Bisection Reinforcement Learning Approach to 3-D Indoor Localization. IEEE Internet Things J. 8(8): 6519-6535 (2021) - [c22]Zhehan Liang, Yu Rong, Chenxin Li, Yunlong Zhang, Yue Huang, Tingyang Xu
Unsupervised Large-Scale Social Network Alignment via Cross Network Embedding. CIKM 2021: 1008-1017 - [c21]Heng Chang
Spectral Graph Attention Network with Fast Eigen-approximation. CIKM 2021: 2905-2909 - [c20]Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He:
Graph Information Bottleneck for Subgraph Recognition. ICLR 2021 - [c19]Yuzhao Chen, Yatao Bian, Xi Xiao, Yu Rong, Tingyang Xu, Junzhou Huang:
On Self-Distilling Graph Neural Network. IJCAI 2021: 2278-2284 - [c18]Heng Chang, Yu Rong, Tingyang Xu, Yatao Bian, Shiji Zhou, Xin Wang, Junzhou Huang, Wenwu Zhu:
Not All Low-Pass Filters are Robust in Graph Convolutional Networks. NeurIPS 2021: 25058-25071 - [i23]Yuzhao Chen, Yatao Bian, Jiying Zhang, Xi Xiao, Tingyang Xu, Yu Rong, Junzhou Huang:
Diversified Multiscale Graph Learning with Graph Self-Correction. CoRR abs/2103.09754 (2021) - [i22]Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He:
Recognizing Predictive Substructures with Subgraph Information Bottleneck. CoRR abs/2103.11155 (2021) - [i21]Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Xin Wang, Wenwu Zhu, Junzhou Huang:
Adversarial Attack Framework on Graph Embedding Models with Limited Knowledge. CoRR abs/2105.12419 (2021) - [i20]Yatao Bian, Yu Rong, Tingyang Xu, Jiaxiang Wu, Andreas Krause, Junzhou Huang:
Energy-Based Learning for Cooperative Games, with Applications to Feature/Data/Model Valuations. CoRR abs/2106.02938 (2021) - [i19]Xuefeng Du, Tian Bian, Yu Rong, Bo Han, Tongliang Liu, Tingyang Xu, Wenbing Huang, Junzhou Huang:
PI-GNN: A Novel Perspective on Semi-Supervised Node Classification against Noisy Labels. CoRR abs/2106.07451 (2021) - [i18]Songtao Liu, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu:
Local Augmentation for Graph Neural Networks. CoRR abs/2109.03856 (2021) - [i17]Junchi Yu, Tingyang Xu, Ran He:
Towards the Explanation of Graph Neural Networks in Digital Pathology with Information Flows. CoRR abs/2112.09895 (2021) - 2020
- [j1]Soumitra Pal
Hybrid-DCA: A double asynchronous approach for stochastic dual coordinate ascent. J. Parallel Distributed Comput. 143: 47-66 (2020) - [c17]Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong
Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks. AAAI 2020: 549-556 - [c16]Heng Chang
A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models. AAAI 2020: 3389-3396 - [c15]Chaochao Yan, Sheng Wang, Jinyu Yang, Tingyang Xu
Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation. BCB 2020: 54:1-54:7 - [c14]Yu Rong, Wenbing Huang, Tingyang Xu, Junzhou Huang:
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification. ICLR 2020 - [c13]Yu Rong
Deep Graph Learning: Foundations, Advances and Applications. KDD 2020: 3555-3556 - [c12]Yu Rong, Yatao Bian, Tingyang Xu, Weiyang Xie, Ying Wei, Wenbing Huang, Junzhou Huang:
Self-Supervised Graph Transformer on Large-Scale Molecular Data. NeurIPS 2020 - [c11]Yikai Wang, Wenbing Huang, Fuchun Sun, Tingyang Xu, Yu Rong, Junzhou Huang:
Deep Multimodal Fusion by Channel Exchanging. NeurIPS 2020 - [c10]Zhen Peng, Wenbing Huang, Minnan Luo, Qinghua Zheng, Yu Rong
Graph Representation Learning via Graphical Mutual Information Maximization. WWW 2020: 259-270 - [i16]Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong, Junzhou Huang:
Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks. CoRR abs/2001.06362 (2020) - [i15]Zhen Peng, Wenbing Huang, Minnan Luo, Qinghua Zheng, Yu Rong, Tingyang Xu, Junzhou Huang:
Graph Representation Learning via Graphical Mutual Information Maximization. CoRR abs/2002.01169 (2020) - [i14]Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Somayeh Sojoudi, Junzhou Huang, Wenwu Zhu:
Spectral Graph Attention Network. CoRR abs/2003.07450 (2020) - [i13]Hehuan Ma, Yatao Bian, Yu Rong, Wenbing Huang, Tingyang Xu, Weiyang Xie, Geyan Ye, Junzhou Huang:
Dual Message Passing Neural Network for Molecular Property Prediction. CoRR abs/2005.13607 (2020) - [i12]Yu Rong, Yatao Bian, Tingyang Xu, Weiyang Xie, Ying Wei, Wenbing Huang, Junzhou Huang:
GROVER: Self-supervised Message Passing Transformer on Large-scale Molecular Data. CoRR abs/2007.02835 (2020) - [i11]Tian Bian, Xi Xiao, Tingyang Xu, Yu Rong, Wenbing Huang, Peilin Zhao, Junzhou Huang:
Inverse Graph Identification: Can We Identify Node Labels Given Graph Labels? CoRR abs/2007.05970 (2020) - [i10]Wenbing Huang, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang:
Tackling Over-Smoothing for General Graph Convolutional Networks. CoRR abs/2008.09864 (2020) - [i9]Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He:
Graph Information Bottleneck for Subgraph Recognition. CoRR abs/2010.05563 (2020) - [i8]Yuzhao Chen, Yatao Bian, Xi Xiao, Yu Rong, Tingyang Xu, Junzhou Huang:
On Self-Distilling Graph Neural Network. CoRR abs/2011.02255 (2020) - [i7]Yikai Wang, Wenbing Huang, Fuchun Sun, Tingyang Xu, Yu Rong, Junzhou Huang:
Deep Multimodal Fusion by Channel Exchanging. CoRR abs/2011.05005 (2020)
2010 – 2019
- 2019
- [c9]Chaoqi Chen, Weiping Xie, Wenbing Huang, Yu Rong
Progressive Feature Alignment for Unsupervised Domain Adaptation. CVPR 2019: 627-636 - [c8]Xingyu Cai, Tingyang Xu, Jinfeng Yi, Junzhou Huang, Sanguthevar Rajasekaran:
DTWNet: a Dynamic Time Warping Network. NeurIPS 2019: 11636-11646 - [i6]Chaoqi Chen, Weiping Xie, Tingyang Xu, Yu Rong, Wen-bing Huang, Xinghao Ding, Yue Huang, Junzhou Huang:
Unsupervised Adversarial Graph Alignment with Graph Embedding. CoRR abs/1907.00544 (2019) - [i5]Yu Rong, Wenbing Huang, Tingyang Xu, Junzhou Huang:
The Truly Deep Graph Convolutional Networks for Node Classification. CoRR abs/1907.10903 (2019) - [i4]Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Wenwu Zhu, Junzhou Huang:
The General Black-box Attack Method for Graph Neural Networks. CoRR abs/1908.01297 (2019) - [i3]Chaochao Yan, Sheng Wang, Jinyu Yang
Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation. CoRR abs/1910.00698 (2019) - 2018
- [c7]Ko-Shin Chen, Tingyang Xu, Jinbo Bi:
Latent Sparse Modeling of Longitudinal Multi-Dimensional Data. AAAI 2018: 2135-2142 - [i2]Chaoqi Chen, Weiping Xie, Tingyang Xu, Wen-bing Huang, Yu Rong, Xinghao Ding, Yue Huang, Junzhou Huang:
Progressive Feature Alignment for Unsupervised Domain Adaptation. CoRR abs/1811.08585 (2018) - 2017
- [c6]Tingyang Xu
Identifying and quantifying nonlinear structured relationships in complex manufactural systems. IEEE BigData 2017: 1357-1362 - 2016
- [i1]Soumitra Pal, Tingyang Xu, Tianbao Yang, Sanguthevar Rajasekaran, Jinbo Bi:
Hybrid-DCA: A Double Asynchronous Approach for Stochastic Dual Coordinate Ascent. CoRR abs/1610.07184 (2016) - 2015
- [c5]Tingyang Xu
Quantifying feed efficiency of dairy cattle for genome-wide association analysis. BIBM 2015: 131-134 - [c4]Jiangwen Sun, Jin Lu
Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization. ICML 2015: 757-766 - [c3]Tingyang Xu
Longitudinal LASSO: Jointly Learning Features and Temporal Contingency for Outcome Prediction. KDD 2015: 1345-1354 - 2014
- [c2]Jinbo Bi, Jiangwen Sun, Tingyang Xu
A sparse integrative cluster analysis for understanding soybean phenotypes. BIBM 2014: 1-7 - [c1]Tingyang Xu
Translating Effective Paper-Based Disease Management into Electronic Medical Systems. ICHI 2014: 101-108
Coauthor Index
[j15] [j14] [c41] [c40] [j11] [j10] [c35] [c32] [i43] [j8] [j7] [j6] [c31] [c30] [c29] [c25] [c23] [i40] [i39] [i37] [i34] [i32] [i30] [i28] [j5] [j3] [c22] [c21] [c20] [c19] [c18] [i23] [i22] [i21] [i20] [i19] [i18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [c9] [c8] [i6] [i5] [i4] [i3] [i2]
[j15] [j14] [c41] [c40] [c39] [i46] [j13] [j11] [j10] [c35] [c34] [c33] [i45] [i43] [i42] [j8] [j7] [j6] [c31] [c30] [c29] [c27] [c25] [c24] [c23] [i40] [i39] [i38] [i37] [i36] [i34] [i33] [i32] [i30] [i28] [i24] [j3] [c22] [c21] [c20] [c19] [c18] [i23] [i22] [i21] [i20] [i19] [i18] [c17] [c16] [c14] [c13] [c12] [c11] [c10] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [c9] [i6] [i5] [i4] [i2]
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