Tiancheng Li

Orcid: 0000-0002-0499-5135

According to our database1, Tiancheng Li authored at least 129 papers between 1996 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Arithmetic Average Density Fusion - Part II: Unified Derivation for Unlabeled and Labeled RFS Fusion.
IEEE Trans. Aerosp. Electron. Syst., June, 2024

Coverage-guided fuzzing for deep reinforcement learning systems.
J. Syst. Softw., April, 2024

Arithmetic average density fusion - Part I: Some statistic and information-theoretic results.
Inf. Fusion, April, 2024

Arithmetic Average Density Fusion-Part III: Heterogeneous Unlabeled and Labeled RFS Filter Fusion.
IEEE Trans. Aerosp. Electron. Syst., February, 2024

Artificial neural network models for metal-ferroelectric-insulator-semiconductor ferroelectric tunnel junction memristor.
Microelectron. J., February, 2024

Gates-Controlled Deep Unfolding Network for Image Compressed Sensing.
IEEE Trans. Computational Imaging, 2024

Hierarchical Average Fusion With GM-PHD Filters Against FDI and DoS Attacks.
IEEE Signal Process. Lett., 2024

Partial-to-Full Registration based on Gradient-SDF for Computer-Assisted Orthopedic Surgery.
CoRR, 2024

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

Arithmetic Average Density Fusion - Part IV: Distributed Heterogeneous Fusion of RFS and LRFS Filters via Variational Approximation.
CoRR, 2024

Label Matching: It Is Complicated.
Proceedings of the 27th International Conference on Information Fusion, 2024

2023
Multisensor Suboptimal Fusion Student's $t$ Filter.
IEEE Trans. Aerosp. Electron. Syst., June, 2023

Best fit of mixture for multi-sensor poisson multi-Bernoulli mixture filtering.
Signal Process., 2023

From target tracking to targeting track: A data-driven yet analytical approach to joint target detection and tracking.
Signal Process., 2023

Finite mixture modeling in time series: A survey of Bayesian filters and fusion approaches.
Inf. Fusion, 2023

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

A Closed-Form Solution to Electromagnetic Sensor Based Intraoperative Limb Length Measurement in Total Hip Arthroplasty.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

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

Information Gain-weighted Multi-sensor Arithmetic Average Fusion Kalman Filtering.
Proceedings of the 12th International Conference on Control, 2023

Tracking of Maneuvering Targets with Poisson Labeled multi-Bernoulli Tracker.
Proceedings of the 12th International Conference on Control, 2023

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

Distributed Estimation for Multi-Subsystem With Coupled Constraints.
IEEE Trans. Signal Process., 2022

A New Belief-Based Bidirectional Transfer Classification Method.
IEEE Trans. Cybern., 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

Performance Evaluation Metrics and Approaches for Target Tracking: A Survey.
Sensors, 2022

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

A sensor selection approach to maneuvering target tracking based on trajectory function of time.
EURASIP J. Adv. Signal Process., 2022

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

Multi-sensor Suboptimal Fusion Student's t Filter.
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
Fault Tolerant Multi-Robot Cooperative Localization Based on Covariance Union.
IEEE Robotics Autom. Lett., October, 2021

Target Tracking With Equality/Inequality Constraints Based on Trajectory Function of Time.
IEEE Signal Process. Lett., 2021

EM-based extended object tracking without a priori extension evolution model.
Signal Process., 2021

Motion Control of a Gecko-like Robot Based on a Central Pattern Generator.
Sensors, 2021

2D Laser SLAM With Closed Shape Features: Fourier Series Parameterization and Submap Joining.
IEEE Robotics Autom. Lett., 2021

Recent advances in multisensor multitarget tracking using random finite set.
Frontiers Inf. Technol. Electron. Eng., 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

A Computationally Efficient Approach to Non-cooperative Target Detection and Tracking with Almost No A-priori Information.
CoRR, 2021

Variational Bayesian inference for the identification of FIR systems via quantized output data.
Autom., 2021

An Empirical Study on Test Case Prioritization Metrics for Deep Neural Networks.
Proceedings of the 21st IEEE International Conference on Software Quality, 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
On Arithmetic Average Fusion and Its Application for Distributed Multi-Bernoulli Multitarget Tracking.
IEEE Trans. Signal Process., 2020

Gaussian Mixture Particle Jump-Markov-CPHD Fusion for Multitarget Tracking Using Sensors With Limited Views.
IEEE Trans. Signal Inf. Process. over Networks, 2020

A Computationally Efficient Approach for Distributed Sensor Localization and Multitarget Tracking.
IEEE Commun. Lett., 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

2019
Joint Smoothing and Tracking Based on Continuous-Time Target Trajectory Function Fitting.
IEEE Trans Autom. Sci. Eng., 2019

Partial Consensus and Conservative Fusion of Gaussian Mixtures for Distributed PHD Fusion.
IEEE Trans. Aerosp. Electron. Syst., 2019

Distributed Bernoulli Filtering for Target Detection and Tracking Based on Arithmetic Average Fusion.
IEEE Signal Process. Lett., 2019

Cardinality-Consensus-Based PHD Filtering for Distributed Multitarget Tracking.
IEEE Signal Process. Lett., 2019

A Computationally Efficient Labeled Multi-Bernoulli Smoother for Multi-Target Tracking.
Sensors, 2019

Second-order statistics analysis and comparison between arithmetic and geometric average fusion: Application to multi-sensor target tracking.
Inf. Fusion, 2019

Single-Road-Constrained Positioning Based on Deterministic Trajectory Geometry.
IEEE Commun. Lett., 2019

Second Order Statistics Analysis and Comparison between Arithmetic and Geometric Average Fusion.
CoRR, 2019

A Track-oriented Approach to Target Tracking with Random Finite Set Observations.
Proceedings of the 2019 International Conference on Control, 2019

Kullback-Leibler Averaging for Multitarget Density Fusion.
Proceedings of the Distributed Computing and Artificial Intelligence, 2019

2018
A Dual PHD Filter for Effective Occupancy Filtering in a Highly Dynamic Environment.
IEEE Trans. Intell. Transp. Syst., 2018

A Robust Multi-Sensor PHD Filter Based on Multi-Sensor Measurement Clustering.
IEEE Commun. Lett., 2018

Distributed Flooding-then-Clustering: A Lazy Networking Approach for Distributed Multiple Target Tracking.
Proceedings of the 21st International Conference on Information Fusion, 2018

2017
Convergence of Distributed Flooding and Its Application for Distributed Bayesian Filtering.
IEEE Trans. Signal Inf. Process. over Networks, 2017

A Survey of Recent Advances in Particle Filters and Remaining Challenges for Multitarget Tracking.
Sensors, 2017

Approximate Gaussian conjugacy: parametric recursive filtering under nonlinearity, multimodality, uncertainty, and constraint, and beyond.
Frontiers Inf. Technol. Electron. Eng., 2017

Clustering for filtering: Multi-object detection and estimation using multiple/massive sensors.
Inf. Sci., 2017

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

Joint Smoothing, Tracking, and Forecasting Based on Continuous-Time Target Trajectory Fitting.
CoRR, 2017

Multi-source homogeneous data clustering for multi-target detection from cluttered background with misdetection.
Appl. Soft Comput., 2017

On generalized covariance intersection for distributed PHD filtering and a simple but better alternative.
Proceedings of the 20th International Conference on Information Fusion, 2017

Track a smoothly maneuvering target based on trajectory estimation.
Proceedings of the 20th International Conference on Information Fusion, 2017

2016
Algorithm design for parallel implementation of the SMC-PHD filter.
Signal Process., 2016

Special issue on distributed computing and artificial intelligence.
Frontiers Inf. Technol. Electron. Eng., 2016

Effectiveness of Bayesian filters: An information fusion perspective.
Inf. Sci., 2016

Fitting for smoothing: A methodology for continuous-time target track estimation.
Proceedings of the International Conference on Indoor Positioning and Indoor Navigation, 2016

MEAP: Approximate optimal estimate extraction for the SMC-PHD filter.
Proceedings of the 19th International Conference on Information Fusion, 2016

2015
Resampling Methods for Particle Filtering: Classification, implementation, and strategies.
IEEE Signal Process. Mag., 2015

Resampling methods for particle filtering: identical distribution, a new method, and comparable study.
Frontiers Inf. Technol. Electron. Eng., 2015

"1-N" Leader-Follower Formation Control of Multiple Agents Based on Bearing-Only Observation.
Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability: The PAAMS Collection, 2015

An Agent-Based Social Simulation Platform with 3D Representation for Labor Integration of Disabled People.
Proceedings of the Trends in Practical Applications of Agents, Multi-Agent Systems and Sustainability, 2015

An Adaptive Particle Filter for Indoor Robot Localization.
Proceedings of the Ambient Intelligence - Software and Applications, 2015

A Novel Pilot Expansion Approach for MIMO Channel Estimation and Tracking.
Proceedings of the IEEE International Conference on Ubiquitous Wireless Broadband, 2015

A unified approach for domain-specific tweet sentiment analysis.
Proceedings of the 18th International Conference on Information Fusion, 2015

On the use and misuse of Bayesian filters.
Proceedings of the 18th International Conference on Information Fusion, 2015

Multi-source data clustering.
Proceedings of the 18th International Conference on Information Fusion, 2015

On the Bias of the SIR Filter in Parameter Estimation of the Dynamics Process of State Space Models.
Proceedings of the Distributed Computing and Artificial Intelligence, 2015

2014
Fight sample degeneracy and impoverishment in particle filters: A review of intelligent approaches.
Expert Syst. Appl., 2014

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

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

Indoor Location System for Security Guards in Subway Stations.
Proceedings of the Trends in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection, 2014

Integration of Different ERP Systems on Mobile Devices.
Proceedings of the Trends in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection, 2014

Fusion system based on multi-agent systems to merge data from WSN.
Proceedings of the 17th International Conference on Information Fusion, 2014

A particle dyeing approach for track continuity for the SMC-PHD filter.
Proceedings of the 17th International Conference on Information Fusion, 2014

Random finite set-based Bayesian filters using magnitude-adaptive target birth intensity.
Proceedings of the 17th International Conference on Information Fusion, 2014

2013
High-speed Sigma-gating SMC-PHD filter.
Signal Process., 2013

Fighting against Sample Degeneracy and Impoverishment in Particle Filters: Particularly on Intelligent Choices.
CoRR, 2013

A Fast Numerical Fitting Approach to Calculate the Likelihood of Particles in Particle Filters.
CoRR, 2013

Adapting sample size in particle filters through KLD-resampling.
CoRR, 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

Roughening methods to prevent sample impoverishment in the particle PHD filter.
Proceedings of the 16th International Conference on Information Fusion, 2013

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

Deterministic resampling: Unbiased sampling to avoid sample impoverishment in particle filters.
Signal Process., 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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