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ORCIDTiancheng Li
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. 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.
Person information
Other persons with the same name
- Tiancheng Li 0001
![[0009-0008-1614-2026]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0009-0008-1614-2026")
— Nanchang University, Nanchang, China - Tiancheng Li 0002 — Northwestern Polytechnical University, Xi'an, China
- Tiancheng Li 0003 — University of Technology Sydney (UTS), Australia
- Tiancheng Li 0004 — Zhejiang University, Haining, China
- Tiancheng Li 0005 — Beihang University, Beijing, China
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2020 – today
- 2025
[j15]Xinyu Zhang, Miao Gao, Tiancheng Li, Jiemin Duan, Yingmin Yi, Junli Liang:
A novel particle filter with noisy input. Digit. Signal Process. 161: 105086 (2025)- [c25]Zilyu Ye, Zhiyang Chen, Tiancheng Li, Zemin Huang, Weijian Luo, Guo-Jun Qi:
Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation. CVPR 2025: 23412-23422 - [c24]Jingyuan Wang, Tiancheng Li, Yan Song:
Arithmetic averaging for tracking: From density fusion to trajectory fusion. SSP 2025: 1-5 - [i14]Zemin Huang, Zhiyang Chen, Zijun Wang, Tiancheng Li, Guo-Jun Qi:
Reinforcing the Diffusion Chain of Lateral Thought with Diffusion Language Models. CoRR abs/2505.10446 (2025) - [i13]Tiancheng Li, Yuhang Wang, Zhiyang Chen, Zijun Wang, Liyuan Ma, Guo-jun Qi:
C-Evolve: Consensus-based Evolution for Prompt Groups. CoRR abs/2509.23331 (2025) - 2024
- [i12]Tiancheng Li, Jinxiu Liu, Huajun Chen, Qi Liu:
InstructRL4Pix: Training Diffusion for Image Editing by Reinforcement Learning. CoRR abs/2406.09973 (2024) - [i11]Zilyu Ye, Zhiyang Chen, Tiancheng Li, Zemin Huang, Weijian Luo, Guo-Jun Qi:
Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation. CoRR abs/2412.01243 (2024) - [i10]Tiancheng Li, Weijian Luo, Zhiyang Chen, Liyuan Ma, Guo-Jun Qi:
Self-Guidance: Boosting Flow and Diffusion Generation on Their Own. CoRR abs/2412.05827 (2024) - 2023
- [j14]Tiancheng Li, Chun-Jie Liu, Song-Yang Liu, Xin Wang, Jing-Jing Feng, Ju-Tao Wang, Cheng-Fei Du:
Effect of muscle activation on dynamic responses of neck of pilot during emergency ejection: a finite element study. Medical Biol. Eng. Comput. 61(9): 2255-2268 (2023) - [c23]Chen Xia, Hao Yang, Tiancheng Li:
Distributed Indegree-weighted Kalman Consensus Filter Algorithm Against Packet-dropping. ICCAIS 2023: 535-540 - [i9]Tiancheng Li:
Heterogeneous Unlabeled and Labeled RFS Filter Fusion for Scalable Multisensor Multitarget Tracking. CoRR abs/2303.09401 (2023) - 2022
- [j13]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) - [j12]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) - [j11]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) - [j10]Feng Yang, Litao Zheng, Tiancheng Li, Lihong Shi:
A computationally efficient distributed Bayesian filter with random finite set observations. Signal Process. 194: 108454 (2022) - [c22]Zheng Hu, Tiancheng Li:
A Particle Bernoulli Filter Based on Gaussian Process Learning for Maneuvering Target Tracking. EUSIPCO 2022: 777-781 - [c21]Benru Yu, Hong Gu, Weimin Su, Tiancheng Li:
Decentralized Multi-Bernoulli Multitarget Tracking Using Multistatic Doppler-Only Measurements. ICCAIS 2022: 333-338 - [c20]Yue Xin, Yan Song, Tiancheng Li:
A Metric for Multi-Target Continuous-Time Trajectory Evaluation. ICCAIS 2022: 364-370 - [c19]Tiancheng Li, Xiaohui Wan, Muhammed Murat Özbek:
AgentFuzz: Fuzzing for Deep Reinforcement Learning Systems. ISSRE Workshops 2022: 110-113 - [i8]Tiancheng Li:
A Technical Note on (Labeled) RFS-AA Fusion: Derivation from PHD Consistency. CoRR abs/2209.10433 (2022) - 2021
- [j9]Tiancheng Li, Franz Hlawatsch:
A distributed particle-PHD filter using arithmetic-average fusion of Gaussian mixture parameters. Inf. Fusion 73: 111-124 (2021) - [j8]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) - [c18]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 - [c17]Feng Yang, Xinyi Tang, Tiancheng Li, Litao Zheng:
Learning-based Gaussian Mixture Reduction for Distributed Bayesian Filter. ICCAIS 2021: 782-787 - [c16]Haoyu Yang, Zheng Hu, Dongchen Li, Tiancheng Li:
An Effective 3D Indoor Localization Approach Based on Fingerprint Fusion Positioning. ICCAIS 2021: 892-897 - [c15]Zheng Hu, Yue Xin, Dongchen Li, Tiancheng Li:
Monte Carlo WLS Fuser for Nonlinear/Non-Gaussian State Estimation. ICCAIS 2021: 898-903 - [i7]Tiancheng Li:
Some Statistic and Information-theoretic Results On Arithmetic Average Fusion. CoRR abs/2110.01440 (2021) - 2020
- [c14]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
- 2017
- [i6]Tiancheng Li:
Distributed SMC-PHD Fusion for Partial, Arithmetic Average Consensus. CoRR abs/1712.06128 (2017) - 2014
- [i5]Tiancheng Li:
The Optimal Arbitrary-Proportional Finite-Set-Partitioning. CoRR abs/1411.6529 (2014) - [i4]Tiancheng Li:
Return on citation: a consistent metric to evaluate papers, journals and researchers. CoRR abs/1412.8420 (2014) - 2013
- [i3]Tiancheng Li:
A Gap between Simulation and Practice for Recursive Filters: On the State Transition Noise. CoRR abs/1308.1056 (2013) - [i2]Tiancheng Li:
Bias of the SIR filter in estimation of the state transition noise. CoRR abs/1308.2426 (2013) - 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]Ninghui Li, Tiancheng Li, Suresh Venkatasubramanian:
Closeness: A New Privacy Measure for Data Publishing. IEEE Trans. Knowl. Data Eng. 22(7): 943-956 (2010) - [j3]Tiancheng Li, Ian Robinson:
Algorithm 906: elrint3d - A Three-Dimensional Nonadaptive Automatic Cubature Routine Using a Sequence of Embedded Lattice Rules. ACM Trans. Math. Softw. 37(3): 35:1-35:17 (2010) - [c13]Tiancheng Li, Ian Robinson:
plrint5d: A Five-Dimensional Automatic Cubature Routine Designed for a Multi-core Platform. ICCSA (2) 2010: 44-59
2000 – 2009
- 2009
- [j2]Ji-Won Byun, Tiancheng Li, Elisa Bertino, Ninghui Li, Yonglak Sohn:
Privacy-preserving incremental data dissemination. J. Comput. Secur. 17(1): 43-68 (2009) - [c12]Cornel Constantinescu, Jan Pieper, Tiancheng Li:
Block Size Optimization in Deduplication Systems. DCC 2009: 442 - [c11]Tiancheng Li, Xiaonan Ma, Ninghui Li:
WORM-SEAL: Trustworthy Data Retention and Verification for Regulatory Compliance. ESORICS 2009: 472-488 - [c10]Tiancheng Li, Ninghui Li, Jian Zhang:
Modeling and Integrating Background Knowledge in Data Anonymization. ICDE 2009: 6-17 - [c9]Ian M. Molloy, Ninghui Li, Tiancheng Li:
On the (In)Security and (Im)Practicality of Outsourcing Precise Association Rule Mining. ICDM 2009: 872-877 - [c8]Tiancheng Li, Ninghui Li:
On the tradeoff between privacy and utility in data publishing. KDD 2009: 517-526 - [c7]Ian M. Molloy, Ninghui Li, Tiancheng Li, Ziqing Mao, Qihua Wang, Jorge Lobo:
Evaluating role mining algorithms. SACMAT 2009: 95-104 - [i1]Tiancheng Li, Ninghui Li, Jian Zhang, Ian M. Molloy:
Slicing: A New Approach to Privacy Preserving Data Publishing. CoRR abs/0909.2290 (2009) - 2008
- [j1]Tiancheng Li, Ninghui Li:
Towards optimal k-anonymization. Data Knowl. Eng. 65(1): 22-39 (2008) - [c6]Tiancheng Li, Ninghui Li:
Injector: Mining Background Knowledge for Data Anonymization. ICDE 2008: 446-455 - [c5]Ian M. Molloy, Hong Chen, Tiancheng Li, Qihua Wang, Ninghui Li, Elisa Bertino, Seraphin B. Calo, Jorge Lobo:
Mining roles with semantic meanings. SACMAT 2008: 21-30 - 2007
- [c4]Tiancheng Li, Ian Robinson:
The Search for a Good Lattice Augmentation Sequence in Three Dimensions. ICCSA (3) 2007: 1037-1045 - [c3]Ninghui Li, Tiancheng Li, Suresh Venkatasubramanian:
t-Closeness: Privacy Beyond k-Anonymity and l-Diversity. ICDE 2007: 106-115 - 2006
- [c2]Tiancheng Li, Ninghui Li:
Optimal k-Anonymity with Flexible Generalization Schemes through Bottom-up Searching. ICDM Workshops 2006: 518-523
1990 – 1999
- 1996
- [c1]David Jonassen, Tiancheng Li:
Modeling Justification and Reflection in Case-Based Learning. ICLS 1996
Coauthor Index
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