Tiancheng Li

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2025
C-Evolve: Consensus-based Evolution for Prompt Groups.
CoRR, September, 2025

Reinforcing the Diffusion Chain of Lateral Thought with Diffusion Language Models.
CoRR, May, 2025

A novel particle filter with noisy input.
Digit. Signal Process., 2025

Arithmetic averaging for tracking: From density fusion to trajectory fusion.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2025

Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Self-Guidance: Boosting Flow and Diffusion Generation on Their Own.
CoRR, 2024

InstructRL4Pix: Training Diffusion for Image Editing by Reinforcement Learning.
CoRR, 2024

2023
Effect of muscle activation on dynamic responses of neck of pilot during emergency ejection: a finite element study.
Medical Biol. Eng. Comput., September, 2023

Heterogeneous Unlabeled and Labeled RFS Filter Fusion for Scalable Multisensor Multitarget Tracking.
CoRR, 2023

Distributed Indegree-weighted Kalman Consensus Filter Algorithm Against Packet-dropping.
Proceedings of the 12th International Conference on Control, 2023

2022
Artificial intelligence-driven prediction of multiple drug interactions.
Briefings Bioinform., November, 2022

A computationally efficient distributed Bayesian filter with random finite set observations.
Signal Process., 2022

A Gaussian mixture regression model based adaptive filter for non-Gaussian noise without a priori statistic.
Signal Process., 2022

A Consistent Union-for-Fusion Approach to Multi-Robot Simultaneous Localization and Target Tracking.
J. Intell. Robotic Syst., 2022

A Technical Note on (Labeled) RFS-AA Fusion: Derivation from PHD Consistency.
CoRR, 2022

AgentFuzz: Fuzzing for Deep Reinforcement Learning Systems.
Proceedings of the IEEE International Symposium on Software Reliability Engineering Workshops, 2022

Decentralized Multi-Bernoulli Multitarget Tracking Using Multistatic Doppler-Only Measurements.
Proceedings of the 11th International Conference on Control, 2022

A Metric for Multi-Target Continuous-Time Trajectory Evaluation.
Proceedings of the 11th International Conference on Control, 2022

A Particle Bernoulli Filter Based on Gaussian Process Learning for Maneuvering Target Tracking.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Distributed filtering and control of complex networks and systems.
Frontiers Inf. Technol. Electron. Eng., 2021

A distributed particle-PHD filter using arithmetic-average fusion of Gaussian mixture parameters.
Inf. Fusion, 2021

Some Statistic and Information-theoretic Results On Arithmetic Average Fusion.
CoRR, 2021

State Estimation with Linear Equality Constraints Based on Trajectory Function of Time and Karush-Kuhn-Tucker Conditions.
Proceedings of the 2021 International Conference on Control, 2021

Learning-based Gaussian Mixture Reduction for Distributed Bayesian Filter.
Proceedings of the 2021 International Conference on Control, 2021

An Effective 3D Indoor Localization Approach Based on Fingerprint Fusion Positioning.
Proceedings of the 2021 International Conference on Control, 2021

Monte Carlo WLS Fuser for Nonlinear/Non-Gaussian State Estimation.
Proceedings of the 2021 International Conference on Control, 2021

2020
Application of Convolution Neural Network Based on Transfer Learning in Sandstorm Prediction in Inner Mongolia.
Proceedings of the 5th International Conference on Computer and Communication Systems, 2020

2017
Distributed SMC-PHD Fusion for Partial, Arithmetic Average Consensus.
CoRR, 2017

2014
Return on citation: a consistent metric to evaluate papers, journals and researchers.
CoRR, 2014

The Optimal Arbitrary-Proportional Finite-Set-Partitioning.
CoRR, 2014

2013
Bias of the SIR filter in estimation of the state transition noise.
CoRR, 2013

A Gap between Simulation and Practice for Recursive Filters: On the State Transition Noise.
CoRR, 2013

2012
Slicing: A New Approach for Privacy Preserving Data Publishing.
IEEE Trans. Knowl. Data Eng., 2012

2010
Privacy preservation in data publishing and sharing
PhD thesis, 2010

Algorithm 906: elrint3d - A Three-Dimensional Nonadaptive Automatic Cubature Routine Using a Sequence of Embedded Lattice Rules.
ACM Trans. Math. Softw., 2010

Closeness: A New Privacy Measure for Data Publishing.
IEEE Trans. Knowl. Data Eng., 2010

Mining Roles with Multiple Objectives.
ACM Trans. Inf. Syst. Secur., 2010

Minimizing Minimality and Maximizing Utility: Analyzing Method-based attacks on Anonymized Data.
Proc. VLDB Endow., 2010

<i>plrint5d</i>: A Five-Dimensional Automatic Cubature Routine Designed for a Multi-core Platform.
Proceedings of the Computational Science and Its Applications, 2010

2009
Privacy-preserving incremental data dissemination.
J. Comput. Secur., 2009

Slicing: A New Approach to Privacy Preserving Data Publishing
CoRR, 2009

Evaluating role mining algorithms.
Proceedings of the 14th ACM Symposium on Access Control Models and Technologies, 2009

On the tradeoff between privacy and utility in data publishing.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

On the (In)Security and (Im)Practicality of Outsourcing Precise Association Rule Mining.
Proceedings of the ICDM 2009, 2009

Modeling and Integrating Background Knowledge in Data Anonymization.
Proceedings of the 25th International Conference on Data Engineering, 2009

WORM-SEAL: Trustworthy Data Retention and Verification for Regulatory Compliance.
Proceedings of the Computer Security, 2009

Block Size Optimization in Deduplication Systems.
Proceedings of the 2009 Data Compression Conference (DCC 2009), 2009

2008
Towards optimal k-anonymization.
Data Knowl. Eng., 2008

Mining roles with semantic meanings.
Proceedings of the 13th ACM Symposium on Access Control Models and Technologies, 2008

Injector: Mining Background Knowledge for Data Anonymization.
Proceedings of the 24th International Conference on Data Engineering, 2008

2007
t-Closeness: Privacy Beyond k-Anonymity and l-Diversity.
Proceedings of the 23rd International Conference on Data Engineering, 2007

The Search for a Good Lattice Augmentation Sequence in Three Dimensions.
Proceedings of the Computational Science and Its Applications, 2007

2006
Optimal k-Anonymity with Flexible Generalization Schemes through Bottom-up Searching.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

1996
Modeling Justification and Reflection in Case-Based Learning.
Proceedings of the Learning for the Real World: Proceedings of the Second International Conference on the Learning Sciences, 1996


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