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Tiancheng Li
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2020 – today
- 2024
- [j60]Tiancheng Li, Yan Song, Enbin Song, Hongqi Fan:
Arithmetic average density fusion - Part I: Some statistic and information-theoretic results. Inf. Fusion 104: 102199 (2024) - [j59]Xiaohui Wan, Tiancheng Li, Weibin Lin, Yi Cai, Zheng Zheng:
Coverage-guided fuzzing for deep reinforcement learning systems. J. Syst. Softw. 210: 111963 (2024) - [j58]Tiancheng Li, Erping Li, Huali Duan, Zhufei Chu, Jian Wang, Wenchao Chen:
Artificial neural network models for metal-ferroelectric-insulator-semiconductor ferroelectric tunnel junction memristor. Microelectron. J. 144: 106083 (2024) - [j57]Hao Yang, Tiancheng Li, Junkun Yan, Víctor Elvira:
Hierarchical Average Fusion With GM-PHD Filters Against FDI and DoS Attacks. IEEE Signal Process. Lett. 31: 934-938 (2024) - [j56]Tiancheng Li, Ruibo Yan, Kai Da, Hongqi Fan:
Arithmetic Average Density Fusion-Part III: Heterogeneous Unlabeled and Labeled RFS Filter Fusion. IEEE Trans. Aerosp. Electron. Syst. 60(1): 1023-1034 (2024) - [j55]Tiancheng Li:
Arithmetic Average Density Fusion - Part II: Unified Derivation for Unlabeled and Labeled RFS Fusion. IEEE Trans. Aerosp. Electron. Syst. 60(3): 3255-3268 (2024) - [j54]Tiancheng Li, Qiurong Yan, Quan Zou, Qianling Dai:
Gates-Controlled Deep Unfolding Network for Image Compressed Sensing. IEEE Trans. Computational Imaging 10: 103-114 (2024) - [c49]Kuangyu Di, Tiancheng Li, Guchong Li, Yan Song, Xudong Dang:
Label Matching: It Is Complicated. FUSION 2024: 1-8 - [i21]Tiancheng Li, Haozhe Liang, Guchong Li, Jesús García Herrero, Quan Pan:
Arithmetic Average Density Fusion - Part IV: Distributed Heterogeneous Fusion of RFS and LRFS Filters via Variational Approximation. CoRR abs/2402.00080 (2024) - [i20]Tiancheng Li, Jinxiu Liu, Huajun Chen, Qi Liu:
InstructRL4Pix: Training Diffusion for Image Editing by Reinforcement Learning. CoRR abs/2406.09973 (2024) - [i19]Tiancheng Li, Peter Walker, Danial Hammoud, Liang Zhao, Shoudong Huang:
Partial-to-Full Registration based on Gradient-SDF for Computer-Assisted Orthopedic Surgery. CoRR abs/2410.03078 (2024) - 2023
- [j53]Tiancheng Li, Haozhe Liang, Bing Xiao, Quan Pan, You He:
Finite mixture modeling in time series: A survey of Bayesian filters and fusion approaches. Inf. Fusion 98: 101827 (2023) - [j52]Tiancheng Li, Yue Xin, Zhunga Liu, Kai Da:
Best fit of mixture for multi-sensor poisson multi-Bernoulli mixture filtering. Signal Process. 202: 108739 (2023) - [j51]Tiancheng Li, Yan Song, Hongqi Fan:
From target tracking to targeting track: A data-driven yet analytical approach to joint target detection and tracking. Signal Process. 205: 108883 (2023) - [j50]Tiancheng Li, Zheng Hu, Zhunga Liu, Xiaoxu Wang:
Multisensor Suboptimal Fusion Student's $t$ Filter. IEEE Trans. Aerosp. Electron. Syst. 59(3): 3378-3387 (2023) - [c48]Guchong Li, Tiancheng Li:
Tracking of Maneuvering Targets with Poisson Labeled multi-Bernoulli Tracker. ICCAIS 2023: 109-114 - [c47]Hongfei Li, Guchong Li, Tiancheng Li:
Information Gain-weighted Multi-sensor Arithmetic Average Fusion Kalman Filtering. ICCAIS 2023: 230-235 - [c46]Chen Xia, Hao Yang, Tiancheng Li:
Distributed Indegree-weighted Kalman Consensus Filter Algorithm Against Packet-dropping. ICCAIS 2023: 535-540 - [c45]Tiancheng Li, Yang Song, Peter Walker, Kai Pan, Victor A. van de Graaf, Liang Zhao, Shoudong Huang:
A Closed-Form Solution to Electromagnetic Sensor Based Intraoperative Limb Length Measurement in Total Hip Arthroplasty. MICCAI (9) 2023: 365-375 - [i18]Tiancheng Li:
Heterogeneous Unlabeled and Labeled RFS Filter Fusion for Scalable Multisensor Multitarget Tracking. CoRR abs/2303.09401 (2023) - 2022
- [j49]Siqi Chen, Tiancheng Li, Luna Yang, Fei Zhai, Xiwei Jiang, Rongwu Xiang, Guixia Ling:
Artificial intelligence-driven prediction of multiple drug interactions. Briefings Bioinform. 23(6) (2022) - [j48]Changyi Liu, Kuangyu Di, Tiancheng Li, Victor Elvira:
A sensor selection approach to maneuvering target tracking based on trajectory function of time. EURASIP J. Adv. Signal Process. 2022(1): 72 (2022) - [j47]Xuedong Wang, Shudong Sun, Tiancheng Li, Yaqiong Liu:
A Consistent Union-for-Fusion Approach to Multi-Robot Simultaneous Localization and Target Tracking. J. Intell. Robotic Syst. 106(4): 70 (2022) - [j46]Yan Song, Zheng Hu, Tiancheng Li, Hongqi Fan:
Performance Evaluation Metrics and Approaches for Target Tracking: A Survey. Sensors 22(3): 793 (2022) - [j45]Haoran Cui, Xiaoxu Wang, Shuaihe Gao, Tiancheng Li:
A Gaussian mixture regression model based adaptive filter for non-Gaussian noise without a priori statistic. Signal Process. 190: 108314 (2022) - [j44]Feng Yang, Litao Zheng, Tiancheng Li, Lihong Shi:
A computationally efficient distributed Bayesian filter with random finite set observations. Signal Process. 194: 108454 (2022) - [j43]Zhunga Liu, Guanghui Qiu, Shuyue Wang, Tiancheng Li, Quan Pan:
A New Belief-Based Bidirectional Transfer Classification Method. IEEE Trans. Cybern. 52(8): 8101-8113 (2022) - [j42]Xiaohui Hao, Yan Liang, Tiancheng Li:
Distributed Estimation for Multi-Subsystem With Coupled Constraints. IEEE Trans. Signal Process. 70: 1548-1559 (2022) - [c44]Zheng Hu, Tiancheng Li:
A Particle Bernoulli Filter Based on Gaussian Process Learning for Maneuvering Target Tracking. EUSIPCO 2022: 777-781 - [c43]Benru Yu, Hong Gu, Weimin Su, Tiancheng Li:
Decentralized Multi-Bernoulli Multitarget Tracking Using Multistatic Doppler-Only Measurements. ICCAIS 2022: 333-338 - [c42]Yue Xin, Yan Song, Tiancheng Li:
A Metric for Multi-Target Continuous-Time Trajectory Evaluation. ICCAIS 2022: 364-370 - [c41]Tiancheng Li, Xiaohui Wan, Muhammed Murat Özbek:
AgentFuzz: Fuzzing for Deep Reinforcement Learning Systems. ISSRE Workshops 2022: 110-113 - [i17]Tiancheng Li, Zheng Hu, Zhunga Liu, Xiaoxu Wang:
Multi-sensor Suboptimal Fusion Student's t Filter. CoRR abs/2204.11098 (2022) - [i16]Tiancheng Li:
A Technical Note on (Labeled) RFS-AA Fusion: Derivation from PHD Consistency. CoRR abs/2209.10433 (2022) - 2021
- [j41]Xiaoxu Wang, Chaofeng Li, Tiancheng Li, Yan Liang, Zhengtao Ding, Quan Pan:
Variational Bayesian inference for the identification of FIR systems via quantized output data. Autom. 132: 109827 (2021) - [j40]Tiancheng Li, Franz Hlawatsch:
A distributed particle-PHD filter using arithmetic-average fusion of Gaussian mixture parameters. Inf. Fusion 73: 111-124 (2021) - [j39]Guanrong Chen, Sergej Celikovský, Lei Guo, Youmin Zhang, Tiancheng Li:
Distributed filtering and control of complex networks and systems. Frontiers Inf. Technol. Electron. Eng. 22(1): 1-4 (2021) - [j38]Kai Da, Tiancheng Li, Yongfeng Zhu, Hongqi Fan, Qiang Fu:
Recent advances in multisensor multitarget tracking using random finite set. Frontiers Inf. Technol. Electron. Eng. 22(1): 5-24 (2021) - [j37]Jiaheng Zhao, Tiancheng Li, Tong Yang, Liang Zhao, Shoudong Huang:
2D Laser SLAM With Closed Shape Features: Fourier Series Parameterization and Submap Joining. IEEE Robotics Autom. Lett. 6(2): 1527-1534 (2021) - [j36]Xuedong Wang, Shudong Sun, Tiancheng Li, Yaqiong Liu:
Fault Tolerant Multi-Robot Cooperative Localization Based on Covariance Union. IEEE Robotics Autom. Lett. 6(4): 7799-7806 (2021) - [j35]Qing Han, Feixiang Cao, Peng Yi, Tiancheng Li:
Motion Control of a Gecko-like Robot Based on a Central Pattern Generator. Sensors 21(18): 6045 (2021) - [j34]Shun Liu, Yan Liang, Linfeng Xu, Tiancheng Li, Xiaohui Hao:
EM-based extended object tracking without a priori extension evolution model. Signal Process. 188: 108181 (2021) - [j33]Jinyang Zhou, Tiancheng Li, Xiaoxu Wang, Litao Zheng:
Target Tracking With Equality/Inequality Constraints Based on Trajectory Function of Time. IEEE Signal Process. Lett. 28: 1330-1334 (2021) - [c40]Jinyang Zhou, Tiancheng Li, Xiaoxu Wang:
State Estimation with Linear Equality Constraints Based on Trajectory Function of Time and Karush-Kuhn-Tucker Conditions. ICCAIS 2021: 438-443 - [c39]Feng Yang, Xinyi Tang, Tiancheng Li, Litao Zheng:
Learning-based Gaussian Mixture Reduction for Distributed Bayesian Filter. ICCAIS 2021: 782-787 - [c38]Haoyu Yang, Zheng Hu, Dongchen Li, Tiancheng Li:
An Effective 3D Indoor Localization Approach Based on Fingerprint Fusion Positioning. ICCAIS 2021: 892-897 - [c37]Zheng Hu, Yue Xin, Dongchen Li, Tiancheng Li:
Monte Carlo WLS Fuser for Nonlinear/Non-Gaussian State Estimation. ICCAIS 2021: 898-903 - [c36]Ying Shi, Beibei Yin, Zheng Zheng, Tiancheng Li:
An Empirical Study on Test Case Prioritization Metrics for Deep Neural Networks. QRS 2021: 157-166 - [i15]Tiancheng Li, Hongqi Fan:
A Computationally Efficient Approach to Non-cooperative Target Detection and Tracking with Almost No A-priori Information. CoRR abs/2104.11122 (2021) - [i14]Tiancheng Li:
Some Statistic and Information-theoretic Results On Arithmetic Average Fusion. CoRR abs/2110.01440 (2021) - 2020
- [j32]Kai Da, Tiancheng Li, Yongfeng Zhu, Qiang Fu:
A Computationally Efficient Approach for Distributed Sensor Localization and Multitarget Tracking. IEEE Commun. Lett. 24(2): 335-338 (2020) - [j31]Kai Da, Tiancheng Li, Yongfeng Zhu, Qiang Fu:
Gaussian Mixture Particle Jump-Markov-CPHD Fusion for Multitarget Tracking Using Sensors With Limited Views. IEEE Trans. Signal Inf. Process. over Networks 6: 605-616 (2020) - [j30]Tiancheng Li, Xiaoxu Wang, Yan Liang, Quan Pan:
On Arithmetic Average Fusion and Its Application for Distributed Multi-Bernoulli Multitarget Tracking. IEEE Trans. Signal Process. 68: 2883-2896 (2020) - [c35]Qing-Dao-Er-Ji Ren, Ying Qiu, Tiancheng Li:
Application of Convolution Neural Network Based on Transfer Learning in Sandstorm Prediction in Inner Mongolia. ICCCS 2020: 120-124
2010 – 2019
- 2019
- [j29]Tiancheng Li:
Single-Road-Constrained Positioning Based on Deterministic Trajectory Geometry. IEEE Commun. Lett. 23(1): 80-83 (2019) - [j28]Tiancheng Li, Hongqi Fan, Jesús García, Juan M. Corchado:
Second-order statistics analysis and comparison between arithmetic and geometric average fusion: Application to multi-sensor target tracking. Inf. Fusion 51: 233-243 (2019) - [j27]Rang Liu, Hongqi Fan, Tiancheng Li, Huaitie Xiao:
A Computationally Efficient Labeled Multi-Bernoulli Smoother for Multi-Target Tracking. Sensors 19(19): 4226 (2019) - [j26]Tiancheng Li, Franz Hlawatsch, Petar M. Djuric:
Cardinality-Consensus-Based PHD Filtering for Distributed Multitarget Tracking. IEEE Signal Process. Lett. 26(1): 49-53 (2019) - [j25]Tiancheng Li, Zhunga Liu, Quan Pan:
Distributed Bernoulli Filtering for Target Detection and Tracking Based on Arithmetic Average Fusion. IEEE Signal Process. Lett. 26(12): 1812-1816 (2019) - [j24]Tiancheng Li, Juan M. Corchado, Shudong Sun:
Partial Consensus and Conservative Fusion of Gaussian Mixtures for Distributed PHD Fusion. IEEE Trans. Aerosp. Electron. Syst. 55(5): 2150-2163 (2019) - [j23]Tiancheng Li, Huimin Chen, Shudong Sun, Juan M. Corchado:
Joint Smoothing and Tracking Based on Continuous-Time Target Trajectory Function Fitting. IEEE Trans Autom. Sci. Eng. 16(3): 1476-1483 (2019) - [c34]Kai Da, Tiancheng Li, Yongfeng Zhu, Hongqi Fan, Qiang Fu:
Kullback-Leibler Averaging for Multitarget Density Fusion. DCAI 2019: 253-261 - [c33]Tiancheng Li, Xiaoxu Wang, Yan Liang, Junkun Yan, Hongqi Fan:
A Track-oriented Approach to Target Tracking with Random Finite Set Observations. ICCAIS 2019: 1-6 - [i13]Tiancheng Li, Hongqi Fan, Jesús García Herrero, Juan M. Corchado:
Second Order Statistics Analysis and Comparison between Arithmetic and Geometric Average Fusion. CoRR abs/1901.08015 (2019) - 2018
- [j22]Tiancheng Li, Javier Prieto, Hongqi Fan, Juan M. Corchado:
A Robust Multi-Sensor PHD Filter Based on Multi-Sensor Measurement Clustering. IEEE Commun. Lett. 22(10): 2064-2067 (2018) - [j21]Hongqi Fan, Tomasz Piotr Kucner, Martin Magnusson, Tiancheng Li, Achim J. Lilienthal:
A Dual PHD Filter for Effective Occupancy Filtering in a Highly Dynamic Environment. IEEE Trans. Intell. Transp. Syst. 19(9): 2977-2993 (2018) - [c32]Tiancheng Li, Juan M. Corchado, Huimin Chen:
Distributed Flooding-then-Clustering: A Lazy Networking Approach for Distributed Multiple Target Tracking. FUSION 2018: 2415-2422 - 2017
- [j20]Tiancheng Li, Fernando de la Prieta Pintado, Juan M. Corchado, Javier Bajo:
Multi-source homogeneous data clustering for multi-target detection from cluttered background with misdetection. Appl. Soft Comput. 60: 436-446 (2017) - [j19]Tiancheng Li, Juan M. Corchado, Shudong Sun, Javier Bajo:
Clustering for filtering: Multi-object detection and estimation using multiple/massive sensors. Inf. Sci. 388: 172-190 (2017) - [j18]Tiancheng Li, Jinya Su, Wei Liu, Juan M. Corchado:
Approximate Gaussian conjugacy: parametric recursive filtering under nonlinearity, multimodality, uncertainty, and constraint, and beyond. Frontiers Inf. Technol. Electron. Eng. 18(12): 1913-1939 (2017) - [j17]Xuedong Wang, Tiancheng Li, Shudong Sun, Juan M. Corchado:
A Survey of Recent Advances in Particle Filters and Remaining Challenges for Multitarget Tracking. Sensors 17(12): 2707 (2017) - [j16]Tiancheng Li, Juan M. Corchado, Javier Prieto:
Convergence of Distributed Flooding and Its Application for Distributed Bayesian Filtering. IEEE Trans. Signal Inf. Process. over Networks 3(3): 580-591 (2017) - [c31]Tiancheng Li, Juan M. Corchado, Huimin Chen, Javier Bajo:
Track a smoothly maneuvering target based on trajectory estimation. FUSION 2017: 1-8 - [c30]Tiancheng Li, Juan M. Corchado, Shudong Sun:
On generalized covariance intersection for distributed PHD filtering and a simple but better alternative. FUSION 2017: 1-8 - [i12]Tiancheng Li, Huimin Chen, Shudong Sun, Juan M. Corchado:
Joint Smoothing, Tracking, and Forecasting Based on Continuous-Time Target Trajectory Fitting. CoRR abs/1708.02196 (2017) - [i11]Tiancheng Li, Juan M. Corchado, Shudong Sun:
Partial Consensus and Conservative Fusion of Gaussian Mixtures for Distributed PHD Fusion. CoRR abs/1711.10783 (2017) - [i10]Tiancheng Li:
Distributed SMC-PHD Fusion for Partial, Arithmetic Average Consensus. CoRR abs/1712.06128 (2017) - 2016
- [j15]Tiancheng Li, Juan M. Corchado, Javier Bajo, Shudong Sun, Juan Francisco de Paz:
Effectiveness of Bayesian filters: An information fusion perspective. Inf. Sci. 329: 670-689 (2016) - [j14]Juan M. Corchado, Li Weigang, Javier Bajo, Fei Wu, Tiancheng Li:
Special issue on distributed computing and artificial intelligence. Frontiers Inf. Technol. Electron. Eng. 17(4): 281-282 (2016) - [j13]Tiancheng Li, Shudong Sun, Miodrag Bolic, Juan M. Corchado:
Algorithm design for parallel implementation of the SMC-PHD filter. Signal Process. 119: 115-127 (2016) - [c29]Tiancheng Li, Juan M. Corchado, Jesús García, Javier Bajo:
MEAP: Approximate optimal estimate extraction for the SMC-PHD filter. FUSION 2016: 2309-2316 - [c28]Tiancheng Li, Javier Prieto, Juan Manuel Corchado:
Fitting for smoothing: A methodology for continuous-time target track estimation. IPIN 2016: 1-8 - 2015
- [j12]Tiancheng Li, Gabriel Villarrubia, Shudong Sun, Juan M. Corchado, Javier Bajo:
Resampling methods for particle filtering: identical distribution, a new method, and comparable study. Frontiers Inf. Technol. Electron. Eng. 16(11): 969-984 (2015) - [j11]Tiancheng Li, Miodrag Bolic, Petar M. Djuric:
Resampling Methods for Particle Filtering: Classification, implementation, and strategies. IEEE Signal Process. Mag. 32(3): 70-86 (2015) - [c27]Tiancheng Li, Sara Rodríguez, Javier Bajo, Juan M. Corchado, Shudong Sun:
On the Bias of the SIR Filter in Parameter Estimation of the Dynamics Process of State Space Models. DCAI 2015: 87-95 - [c26]Tiancheng Li, Juan M. Corchado, Javier Bajo, Shudong Sun:
Multi-source data clustering. FUSION 2015: 830-837 - [c25]Tiancheng Li, Javier Prieto, Juan M. Corchado, Javier Bajo:
On the use and misuse of Bayesian filters. FUSION 2015: 838-845 - [c24]Patricia L. V. Ribeiro, Li Weigang, Tiancheng Li:
A unified approach for domain-specific tweet sentiment analysis. FUSION 2015: 846-853 - [c23]Ming Fei Siyau, Tiancheng Li, Javier Prieto, Juan M. Corchado, Javier Bajo:
A Novel Pilot Expansion Approach for MIMO Channel Estimation and Tracking. ICUWB 2015: 1-5 - [c22]Hao Lang, Tiancheng Li, Gabriel Villarrubia, Shudong Sun, Javier Bajo:
An Adaptive Particle Filter for Indoor Robot Localization. ISAmI 2015: 45-55 - [c21]Alberto L. Barriuso, Fernando de la Prieta, Tiancheng Li:
An Agent-Based Social Simulation Platform with 3D Representation for Labor Integration of Disabled People. PAAMS (Special Sessions) 2015: 55-64 - [c20]Qing Han, Tiancheng Li, Shudong Sun, Gabriel Villarrubia, Fernando de la Prieta:
"1-N" Leader-Follower Formation Control of Multiple Agents Based on Bearing-Only Observation. PAAMS 2015: 120-130 - 2014
- [j10]Tiancheng Li, Shudong Sun, Tariq Pervez Sattar, Juan Manuel Corchado Rodríguez:
Fight sample degeneracy and impoverishment in particle filters: A review of intelligent approaches. Expert Syst. Appl. 41(8): 3944-3954 (2014) - [c19]Tiancheng Li, Shudong Sun, Juan M. Corchado, Ming Fei Siyau:
Random finite set-based Bayesian filters using magnitude-adaptive target birth intensity. FUSION 2014: 1-8 - [c18]Tiancheng Li, Shudong Sun, Juan M. Corchado, Ming Fei Siyau:
A particle dyeing approach for track continuity for the SMC-PHD filter. FUSION 2014: 1-8 - [c17]Sara Rodríguez, Carolina Zato, Juan M. Corchado, Tiancheng Li:
Fusion system based on multi-agent systems to merge data from WSN. FUSION 2014: 1-8 - [c16]Álvaro Lozano Murciego, Ana Belén Gil, Tiancheng Li:
Integration of Different ERP Systems on Mobile Devices. PAAMS (Special Sessions) 2014: 27-35 - [c15]Juan Francisco de Paz, Gabriel Villarrubia, Javier Bajo, Gabriel Sirvent, Tiancheng Li:
Indoor Location System for Security Guards in Subway Stations. PAAMS (Special Sessions) 2014: 111-119 - [i9]Tiancheng Li:
The Optimal Arbitrary-Proportional Finite-Set-Partitioning. CoRR abs/1411.6529 (2014) - [i8]Tiancheng Li:
Return on citation: a consistent metric to evaluate papers, journals and researchers. CoRR abs/1412.8420 (2014) - 2013
- [j9]Tiancheng Li, Shudong Sun, Tariq Pervez Sattar:
High-speed Sigma-gating SMC-PHD filter. Signal Process. 93(9): 2586-2593 (2013) - [c14]Tiancheng Li, Tariq P. Sattar, Qing Han, Shudong Sun:
Roughening methods to prevent sample impoverishment in the particle PHD filter. FUSION 2013: 17-22 - [i7]Tiancheng Li, Shudong Sun, Tariq Pervez Sattar:
Adapting sample size in particle filters through KLD-resampling. CoRR abs/1306.3172 (2013) - [i6]Tiancheng Li, Tariq Pervez Sattar, Qing Han, Shudong Sun:
Roughening Methods to Prevent Sample Impoverishment in the Particle PHD Filter. CoRR abs/1306.3875 (2013) - [i5]Tiancheng Li:
A Gap between Simulation and Practice for Recursive Filters: On the State Transition Noise. CoRR abs/1308.1056 (2013) - [i4]Tiancheng Li, Shudong Sun, Tariq Pervez Sattar:
A Fast Numerical Fitting Approach to Calculate the Likelihood of Particles in Particle Filters. CoRR abs/1308.2401 (2013) - [i3]Tiancheng Li:
Bias of the SIR filter in estimation of the state transition noise. CoRR abs/1308.2426 (2013) - [i2]Tiancheng Li, Shudong Sun, Tariq P. Sattar, Juan M. Corchado:
Fighting against Sample Degeneracy and Impoverishment in Particle Filters: Particularly on Intelligent Choices. CoRR abs/1308.2443 (2013) - 2012
- [j8]Tiancheng Li, Tariq Pervez Sattar, Shudong Sun:
Deterministic resampling: Unbiased sampling to avoid sample impoverishment in particle filters. Signal Process. 92(7): 1637-1645 (2012) - [j7]Tiancheng Li, Ninghui Li, Jian Zhang, Ian M. Molloy:
Slicing: A New Approach for Privacy Preserving Data Publishing. IEEE Trans. Knowl. Data Eng. 24(3): 561-574 (2012) - 2010
- [b1]Tiancheng Li:
Privacy preservation in data publishing and sharing. Purdue University, USA, 2010 - [j6]Graham Cormode, Ninghui Li, Tiancheng Li, Divesh Srivastava:
Minimizing Minimality and Maximizing Utility: Analyzing Method-based attacks on Anonymized Data. Proc. VLDB Endow. 3(1): 1045-1056 (2010) - [j5]Ian M. Molloy, Hong Chen, Tiancheng Li, Qihua Wang, Ninghui Li, Elisa Bertino, Seraphin B. Calo, Jorge Lobo:
Mining Roles with Multiple Objectives. ACM Trans. Inf. Syst. Secur. 13(4): 36:1-36:35 (2010) - [j4]