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ORCIDQingqing Ye 0001
Person information
- affiliation: Hong Kong Polytechnic University, Hong Kong
- affiliation (PhD 2020): Renmin University of China, Beijing, China
Other persons with the same name
- Qingqing Ye 0002 — Nanjing University of Information Science and Technology, Nanjing, China
- Qingqing Ye 0003 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (and 1 more)
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2020 – today
- 2025
[j39]Yue Fu
, Qingqing Ye, Rong Du, Haibo Hu:
Secure bi-attribute index: Batch membership tests over the non-sensitive attribute. Comput. Secur. 152: 104369 (2025)- [j38]Li Bai, Haibo Hu, Qingqing Ye, Haoyang Li, Leixia Wang, Jianliang Xu:
Membership Inference Attacks and Defenses in Federated Learning: A Survey. ACM Comput. Surv. 57(4): 89:1-89:35 (2025) - [j37]Yuemin Zhang, Qingqing Ye, Haibo Hu:
Federated Heavy Hitter Analytics with Local Differential Privacy. Proc. ACM Manag. Data 3(1): 42:1-42:27 (2025) - [j36]Rong Du, Qingqing Ye, Yue Fu, Haibo Hu, Kai Huang:
Top-k Discovery Under Local Differential Privacy: An Adaptive Sampling Approach. IEEE Trans. Dependable Secur. Comput. 22(2): 1763-1780 (2025) - [j35]Long-Hao Yang, Dan-Ning Yu, Fei-Fei Ye, Haibo Hu, Qingqing Ye:
A Novel Modeling Approach for Cumulative Belief Rule-Base With Joint Optimization and Rule Synthesis. IEEE Trans. Syst. Man Cybern. Syst. 55(4): 2961-2973 (2025) - [c27]Haoyang Li, Li Bai, Qingqing Ye, Haibo Hu, Yaxin Xiao, Huadi Zheng, Jianliang Xu:
A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks. AAAI 2025: 18287-18295 - [c26]Zi Liang, Pinghui Wang, Ruofei Zhang, Haibo Hu, Shuo Zhang, Qingqing Ye, Nuo Xu, Yaxin Xiao, Chen Zhang, Lizhen Cui:
Exploring Intrinsic Alignments Within Text Corpus. AAAI 2025: 27455-27463 - [c25]Sen Zhang, Haibo Hu, Qingqing Ye, Jianliang Xu:
PrivDPR: Synthetic Graph Publishing with Deep PageRank under Differential Privacy. KDD (1) 2025: 1936-1947 - [c24]Zitong Li, Qingqing Ye, Haibo Hu:
FUNU: Boosting Machine Unlearning Efficiency by Filtering Unnecessary Unlearning. WWW 2025: 3366-3376 - [c23]Xinwei Zhang, Haibo Hu, Qingqing Ye, Li Bai, Huadi Zheng:
MER-Inspector: Assessing Model Extraction Risks from An Attack-Agnostic Perspective. WWW 2025: 4300-4315 - [i28]Sen Zhang, Haibo Hu, Qingqing Ye, Jianliang Xu:
PrivDPR: Synthetic Graph Publishing with Deep PageRank under Differential Privacy. CoRR abs/2501.02354 (2025) - [i27]Sen Zhang, Qingqing Ye, Haibo Hu:
Structure-Preference Enabled Graph Embedding Generation under Differential Privacy. CoRR abs/2501.03451 (2025) - [i26]Jiale Zhang, Bosen Rao, Chengcheng Zhu, Xiaobing Sun, Qingming Li, Haibo Hu, Xiapu Luo, Qingqing Ye, Shouling Ji:
Fine-tuning is Not Fine: Mitigating Backdoor Attacks in GNNs with Limited Clean Data. CoRR abs/2501.05835 (2025) - [i25]Zitong Li, Qingqing Ye, Haibo Hu:
FUNU: Boosting Machine Unlearning Efficiency by Filtering Unnecessary Unlearning. CoRR abs/2501.16614 (2025) - [i24]Haoyang Li, Li Bai, Qingqing Ye, Haibo Hu, Yaxin Xiao, Huadi Zheng, Jianliang Xu:
A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks. CoRR abs/2502.19070 (2025) - [i23]Rong Du, Qingqing Ye, Yue Fu, Haibo Hu:
Privacy for Free: Leveraging Local Differential Privacy Perturbed Data from Multiple Services. CoRR abs/2503.08297 (2025) - [i22]Sen Zhang, Qingqing Ye, Haibo Hu, Jianliang Xu:
AdvSGM: Differentially Private Graph Learning via Adversarial Skip-gram Model. CoRR abs/2503.21426 (2025) - [i21]Jiawei Duan, Haibo Hu, Qingqing Ye, Xinyue Sun:
Technical Report: Full Version of Analyzing and Optimizing Perturbation of DP-SGD Geometrically. CoRR abs/2504.05618 (2025) - [i20]Yulian Mao, Qingqing Ye, Rong Du, Qi Wang, Kai Huang, Haibo Hu:
Multi-class Item Mining under Local Differential Privacy. CoRR abs/2504.13526 (2025) - [i19]Rong Du, Qingqing Ye, Yaxin Xiao, Liantong Yu, Yue Fu, Haibo Hu:
Dual Utilization of Perturbation for Stream Data Publication under Local Differential Privacy. CoRR abs/2504.14993 (2025) - [i18]Qingqing Ye, Liantong Yu, Kai Huang, Xiaokui Xiao, Weiran Liu, Haibo Hu:
From Randomized Response to Randomized Index: Answering Subset Counting Queries with Local Differential Privacy. CoRR abs/2504.17523 (2025) - [i17]Xiaoyu Xu, Minxin Du, Qingqing Ye, Haibo Hu:
OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models. CoRR abs/2505.04416 (2025) - 2024
- [j34]Yulian Mao, Qingqing Ye, Qi Wang, Haibo Hu:
Differential Privacy for Time Series: A Survey. IEEE Data Eng. Bull. 48(2): 67-92 (2024) - [j33]Qirong Zhang, Jin Li, Qingqing Ye, Yuxi Lin, Xinlong Chen, Yang-Geng Fu:
DWSSA: Alleviating over-smoothness for deep Graph Neural Networks. Neural Networks 174: 106228 (2024) - [j32]Jie Fu, Qingqing Ye, Haibo Hu, Zhili Chen, Lulu Wang, Kuncan Wang, Xun Ran:
DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release. Proc. VLDB Endow. 17(6): 1200-1213 (2024) - [j31]Leixia Wang, Qingqing Ye, Haibo Hu, Xiaofeng Meng:
PriPL-Tree: Accurate Range Query for Arbitrary Distribution under Local Differential Privacy. Proc. VLDB Endow. 17(11): 3031-3044 (2024) - [j30]Jianping Cai, Ximeng Liu, Qingqing Ye, Yang Liu, Yuyang Wang:
A Federated Learning Framework Based on Differentially Private Continuous Data Release. IEEE Trans. Dependable Secur. Comput. 21(5): 4879-4894 (2024) - [j29]Ronghua Li, Haibo Hu, Qingqing Ye:
RFTrack: Stealthy Location Inference and Tracking Attack on Wi-Fi Devices. IEEE Trans. Inf. Forensics Secur. 19: 5925-5939 (2024) - [j28]Xinyue Sun, Qingqing Ye, Haibo Hu, Jiawei Duan, Qiao Xue, Tianyu Wo, Weizhe Zhang, Jie Xu:
Generating Location Traces With Semantic- Constrained Local Differential Privacy. IEEE Trans. Inf. Forensics Secur. 19: 9850-9865 (2024) - [j27]Jianping Cai, Qingqing Ye, Haibo Hu, Ximeng Liu, Yanggeng Fu:
Boosting Accuracy of Differentially Private Continuous Data Release for Federated Learning. IEEE Trans. Inf. Forensics Secur. 19: 10287-10301 (2024) - [j26]Li Tang, Qingqing Ye, Haibo Hu, Qiao Xue, Yaxin Xiao, Jin Li:
DeepMark: A Scalable and Robust Framework for DeepFake Video Detection. ACM Trans. Priv. Secur. 27(1): 9:1-9:26 (2024) - [j25]Xinyue Sun, Qingqing Ye, Haibo Hu, Jiawei Duan, Qiao Xue, Tianyu Wo, Jie Xu:
PUTS: Privacy-Preserving and Utility-Enhancing Framework for Trajectory Synthesization. IEEE Trans. Knowl. Data Eng. 36(1): 296-310 (2024) - [j24]Kai Huang, Yue Cui, Qingqing Ye, Yan Zhao, Xi Zhao, Yao Tian, Kai Zheng, Haibo Hu, Xiaofang Zhou:
TED$^+$+: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database. IEEE Trans. Knowl. Data Eng. 36(5): 2224-2238 (2024) - [j23]Kai Huang, Gaoya Ouyang, Qingqing Ye, Haibo Hu, Bolong Zheng, Xi Zhao, Ruiyuan Zhang, Xiaofang Zhou:
LDPGuard: Defenses Against Data Poisoning Attacks to Local Differential Privacy Protocols. IEEE Trans. Knowl. Data Eng. 36(7): 3195-3209 (2024) - [j22]Jiawei Duan, Qingqing Ye, Haibo Hu, Xinyue Sun:
LDPTube: Theoretical Utility Benchmark and Enhancement for LDP Mechanisms in High-Dimensional Space. IEEE Trans. Knowl. Data Eng. 36(8): 3948-3962 (2024) - [j21]Leixia Wang, Qingqing Ye, Haibo Hu, Xiaofeng Meng:
EPS$^{2}$2: Privacy Preserving Set-Valued Data Analysis in the Shuffle Model. IEEE Trans. Knowl. Data Eng. 36(11): 6084-6098 (2024) - [j20]Yulian Mao, Qingqing Ye, Qi Wang, Haibo Hu:
Utility-Aware Time Series Data Release With Anomalies Under TLDP. IEEE Trans. Mob. Comput. 23(6): 7135-7147 (2024) - [c22]Leixia Wang, Qingqing Ye, Haibo Hu, Xiaofeng Meng, Kai Huang:
LDP-Purifier: Defending against Poisoning Attacks in Local Differential Privacy. DASFAA (4) 2024: 221-231 - [c21]Xinyue Sun, Qingqing Ye, Haibo Hu, Jiawei Duan, Tianyu Wo, Jie Xu, Renyu Yang:
LDPRecover: Recovering Frequencies from Poisoning Attacks Against Local Differential Privacy. ICDE 2024: 1619-1631 - [c20]Xun Ran, Qingqing Ye, Haibo Hu, Xin Huang, Jianliang Xu, Jie Fu:
Differentially Private Graph Neural Networks for Link Prediction. ICDE 2024: 1632-1644 - [c19]Yulian Mao, Qingqing Ye, Haibo Hu, Qi Wang, Kai Huang:
PrivShape: Extracting Shapes in Time Series Under User-Level Local Differential Privacy. ICDE 2024: 1739-1751 - [c18]Yue Fu, Qingqing Ye, Rong Du, Haibo Hu:
Interactive Trimming Against Evasive Online Data Manipulation Attacks: A Game-Theoretic Approach. ICDE 2024: 3587-3599 - [c17]Kai Huang, Yunqi Li, Qingqing Ye, Yao Tian, Xi Zhao, Yue Cui, Haibo Hu, Xiaofang Zhou:
FRESH: Towards Efficient Graph Queries in an Outsourced Graph. ICDE 2024: 4545-4557 - [c16]Haotian Yan, Haibo Hu, Qingqing Ye:
Time-Specific Integrity Service in MQTT Protocol. IPSN 2024: 113-125 - [i16]Xinyue Sun, Qingqing Ye, Haibo Hu, Jiawei Duan, Tianyu Wo, Jie Xu, Renyu Yang:
LDPRecover: Recovering Frequencies from Poisoning Attacks against Local Differential Privacy. CoRR abs/2403.09351 (2024) - [i15]Yue Fu, Qingqing Ye, Rong Du, Haibo Hu:
Interactive Trimming against Evasive Online Data Manipulation Attacks: A Game-Theoretic Approach. CoRR abs/2403.10313 (2024) - [i14]Yulian Mao, Qingqing Ye, Haibo Hu, Qi Wang, Kai Huang:
PrivShape: Extracting Shapes in Time Series under User-Level Local Differential Privacy. CoRR abs/2404.03873 (2024) - [i13]Leixia Wang, Qingqing Ye, Haibo Hu, Xiaofeng Meng:
PriPL-Tree: Accurate Range Query for Arbitrary Distribution under Local Differential Privacy. CoRR abs/2407.13532 (2024) - [i12]Zi Liang, Haibo Hu, Qingqing Ye, Yaxin Xiao, Haoyang Li:
Why Are My Prompts Leaked? Unraveling Prompt Extraction Threats in Customized Large Language Models. CoRR abs/2408.02416 (2024) - [i11]Zi Liang, Qingqing Ye, Yanyun Wang, Sen Zhang, Yaxin Xiao, Ronghua Li, Jianliang Xu, Haibo Hu:
Alignment-Aware Model Extraction Attacks on Large Language Models. CoRR abs/2409.02718 (2024) - [i10]Yanyun Wang, Li Liu, Zi Liang, Qingqing Ye, Haibo Hu:
New Paradigm of Adversarial Training: Breaking Inherent Trade-Off between Accuracy and Robustness via Dummy Classes. CoRR abs/2410.12671 (2024) - [i9]Li Bai, Haibo Hu, Qingqing Ye, Haoyang Li, Leixia Wang, Jianliang Xu:
Membership Inference Attacks and Defenses in Federated Learning: A Survey. CoRR abs/2412.06157 (2024) - [i8]Yuemin Zhang, Qingqing Ye, Haibo Hu:
Federated Heavy Hitter Analytics with Local Differential Privacy. CoRR abs/2412.14832 (2024) - [i7]Xi He, Kai Huang, Qingqing Ye, Haibo Hu:
Data Poisoning Attacks to Local Differential Privacy Protocols for Graphs. CoRR abs/2412.19837 (2024) - 2023
- [j19]Haotian Yan, Haibo Hu, Qingqing Ye:
Partial message verification in fog-based industrial Internet of things. Comput. Secur. 135: 103530 (2023) - [j18]Bikash Chandra Singh, Qingqing Ye, Haibo Hu, Bin Xiao:
Efficient and lightweight indexing approach for multi-dimensional historical data in blockchain. Future Gener. Comput. Syst. 139: 210-223 (2023) - [j17]Ziyang Han, Qingqing Ye, Haibo Hu:
OTKI-F: An efficient memory-secure multi-keyword fuzzy search protocol. J. Comput. Secur. 31(2): 129-152 (2023) - [j16]Kai Huang, Haibo Hu, Qingqing Ye, Kai Tian, Bolong Zheng, Xiaofang Zhou:
TED: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database. Proc. ACM Manag. Data 1(1): 51:1-51:26 (2023) - [j15]Yuemin Zhang, Qingqing Ye, Rui Chen, Haibo Hu, Qilong Han:
Trajectory Data Collection with Local Differential Privacy. Proc. VLDB Endow. 16(10): 2591-2604 (2023) - [j14]Ziyang Han, Haibo Hu, Qingqing Ye:
ReFlat: A Robust Access Pattern Hiding Solution for General Cloud Query Processing Based on K-Isomorphism and Hardware Enclave. IEEE Trans. Cloud Comput. 11(2): 1474-1486 (2023) - [j13]Qingqing Ye, Haibo Hu, Xiaofeng Meng, Huadi Zheng, Kai Huang, Chengfang Fang, Jie Shi:
PrivKVM*: Revisiting Key-Value Statistics Estimation With Local Differential Privacy. IEEE Trans. Dependable Secur. Comput. 20(1): 17-35 (2023) - [j12]Qiuyu Qian, Qingqing Ye, Haibo Hu, Kai Huang, Tom Tak-Lam Chan, Jin Li:
Collaborative Sampling for Partial Multi-Dimensional Value Collection Under Local Differential Privacy. IEEE Trans. Inf. Forensics Secur. 18: 3948-3961 (2023) - [j11]Xinyue Sun, Qingqing Ye, Haibo Hu, Yuandong Wang, Kai Huang, Tianyu Wo, Jie Xu:
Synthesizing Realistic Trajectory Data With Differential Privacy. IEEE Trans. Intell. Transp. Syst. 24(5): 5502-5515 (2023) - [j10]Li Tang, Qingqing Ye, Haibo Hu, Man Ho Au:
Secure Traffic Monitoring With Spatio-Temporal Metadata Protection Using Oblivious RAM. IEEE Trans. Intell. Transp. Syst. 24(12): 14903-14913 (2023) - [j9]Qiao Xue, Qingqing Ye, Haibo Hu, Youwen Zhu, Jian Wang:
DDRM: A Continual Frequency Estimation Mechanism With Local Differential Privacy. IEEE Trans. Knowl. Data Eng. 35(7): 6784-6797 (2023) - [c15]Haozhe Tian, Haibo Hu, Qingqing Ye:
CGP: Centroid-guided Graph Poisoning for Link Inference Attacks in Graph Neural Networks. IEEE Big Data 2023: 554-561 - [c14]Yukun Yan, Qingqing Ye, Haibo Hu, Rui Chen, Qilong Han, Leixia Wang:
Towards Defending Against Byzantine LDP Amplified Gain Attacks. DASFAA (1) 2023: 627-643 - [c13]Rong Du, Qingqing Ye, Yue Fu, Haibo Hu, Jin Li, Chengfang Fang, Jie Shi:
Differential Aggregation against General Colluding Attackers. ICDE 2023: 2180-2193 - [c12]Qingqing Ye, Haibo Hu, Kai Huang, Man Ho Au, Qiao Xue:
Stateful Switch: Optimized Time Series Release with Local Differential Privacy. INFOCOM 2023: 1-10 - [c11]Haoyang Li, Qingqing Ye, Haibo Hu, Jin Li, Leixia Wang, Chengfang Fang, Jie Shi:
3DFed: Adaptive and Extensible Framework for Covert Backdoor Attack in Federated Learning. SP 2023: 1893-1907 - [i6]Rong Du, Qingqing Ye, Yue Fu, Haibo Hu, Jin Li, Chengfang Fang, Jie Shi:
Differential Aggregation against General Colluding Attackers. CoRR abs/2302.09315 (2023) - [i5]Yuemin Zhang, Qingqing Ye, Rui Chen, Haibo Hu, Qilong Han:
Trajectory Data Collection with Local Differential Privacy. CoRR abs/2307.09339 (2023) - [i4]Jie Fu, Qingqing Ye, Haibo Hu, Zhili Chen, Lulu Wang, Kuncan Wang, Xun Ran:
DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release. CoRR abs/2311.14056 (2023) - 2022
- [j8]Li Tang, Qingqing Ye, Huadi Zheng, Haibo Hu, Ziyang Han, Ngai-Fong Law:
Stateful-CCSH: An Efficient Authentication Scheme for High-Resolution Video Surveillance System. IEEE Internet Things J. 9(19): 19373-19386 (2022) - [j7]Kai Huang, Qingqing Ye, Jing Zhao, Xi Zhao, Haibo Hu, Xiaofang Zhou:
VINCENT: Towards Efficient Exploratory Subgraph Search in Graph Databases. Proc. VLDB Endow. 15(12): 3634-3637 (2022) - [j6]Huadi Zheng, Qingqing Ye, Haibo Hu, Chengfang Fang, Jie Shi:
Protecting Decision Boundary of Machine Learning Model With Differentially Private Perturbation. IEEE Trans. Dependable Secur. Comput. 19(3): 2007-2022 (2022) - [j5]Xiao Yang, Mengling Liu, Man Ho Au, Xiapu Luo, Qingqing Ye:
Efficient Verifiably Encrypted ECDSA-Like Signatures and Their Applications. IEEE Trans. Inf. Forensics Secur. 17: 1573-1582 (2022) - [j4]Qingqing Ye, Haibo Hu, Man Ho Au, Xiaofeng Meng, Xiaokui Xiao:
LF-GDPR: A Framework for Estimating Graph Metrics With Local Differential Privacy. IEEE Trans. Knowl. Data Eng. 34(10): 4905-4920 (2022) - [j3]Haotian Yan, Haibo Hu, Qingqing Ye, Li Tang:
SPMAC: Scalable Prefix Verifiable Message Authentication Code for Internet of Things. IEEE Trans. Netw. Serv. Manag. 19(3): 3453-3464 (2022) - [j2]Kai Huang, Haibo Hu, Shuigeng Zhou, Jihong Guan, Qingqing Ye, Xiaofang Zhou:
Privacy and efficiency guaranteed social subgraph matching. VLDB J. 31(3): 581-602 (2022) - [c10]Yue Fu, Qingqing Ye, Rong Du, Haibo Hu:
Unified Proof of Work: Delegating and Solving Customized Computationally Bounded Problems in a Privacy-Preserving Way. APWeb/WAIM (3) 2022: 309-317 - [c9]Jiawei Duan, Qingqing Ye, Haibo Hu:
Utility Analysis and Enhancement of LDP Mechanisms in High-Dimensional Space. ICDE 2022: 407-419 - [c8]Yaxin Xiao, Qingqing Ye, Haibo Hu, Huadi Zheng, Chengfang Fang, Jie Shi:
MExMI: Pool-based Active Model Extraction Crossover Membership Inference. NeurIPS 2022 - [i3]Jiawei Duan, Qingqing Ye, Haibo Hu:
Utility Analysis and Enhancement of LDP Mechanisms in High-Dimensional Space. CoRR abs/2201.07469 (2022) - [i2]Kai Huang, Haibo Hu, Qingqing Ye, Kai Tian, Bolong Zheng, Xiaofang Zhou:
TED: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database. CoRR abs/2212.07612 (2022) - [i1]Qingqing Ye, Haibo Hu, Kai Huang, Man Ho Au, Qiao Xue:
Stateful Switch: Optimized Time Series Release with Local Differential Privacy. CoRR abs/2212.08792 (2022) - 2021
- [c7]Qingqing Ye, Haibo Hu, Ninghui Li, Xiaofeng Meng, Huadi Zheng, Haotian Yan:
Beyond Value Perturbation: Local Differential Privacy in the Temporal Setting. INFOCOM 2021: 1-10 - [c6]Rong Du, Qingqing Ye, Yue Fu, Haibo Hu:
Collecting High-Dimensional and Correlation-Constrained Data with Local Differential Privacy. SECON 2021: 1-9 - 2020
- [j1]Xiao Yang, Wang Fat Lau, Qingqing Ye, Man Ho Au, Joseph K. Liu, Jacob Cheng:
Practical Escrow Protocol for Bitcoin. IEEE Trans. Inf. Forensics Secur. 15: 3023-3034 (2020) - [c5]Qingqing Ye, Haibo Hu, Man Ho Au, Xiaofeng Meng, Xiaokui Xiao:
Towards Locally Differentially Private Generic Graph Metric Estimation. ICDE 2020: 1922-1925
2010 – 2019
- 2019
- [c4]Huadi Zheng, Qingqing Ye, Haibo Hu, Chengfang Fang, Jie Shi:
BDPL: A Boundary Differentially Private Layer Against Machine Learning Model Extraction Attacks. ESORICS (1) 2019: 66-83 - [c3]Ninghui Li, Qingqing Ye:
Mobile Data Collection and Analysis with Local Differential Privacy. MDM 2019: 4-7 - [c2]Qingqing Ye, Haibo Hu, Xiaofeng Meng, Huadi Zheng:
PrivKV: Key-Value Data Collection with Local Differential Privacy. IEEE Symposium on Security and Privacy 2019: 317-331 - [c1]Qingqing Ye, Haibo Hu:
Local Differential Privacy: Tools, Challenges, and Opportunities. WISE Workshops 2019: 13-23
Coauthor Index
[j39] [j38] [j37] [j36] [j35] [c27] [c26] [c25] [c24] [c23] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [j34] [j32] [j31] [j29] [j28] [j27] [j26] [j25] [j24] [j23] [j22] [j21] [j20] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [c15] [c14] [c13] [c12] [c11] [i6] [i5] [i4] [j8] [j7] [j6] [j4] [j3] [j2] [c10] [c9] [c8] [i3] [i2] [i1] [c7] [c6] [c5] [c4] [c2] [c1]
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