Tianyi Wu

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

Bibliography

2024
Deep Learning-Based Microscopic Cell Detection Using Inverse Distance Transform and Auxiliary Counting.
IEEE J. Biomed. Health Informatics, October, 2024

Interactive Dual Network With Adaptive Density Map for Automatic Cell Counting.
IEEE Trans Autom. Sci. Eng., October, 2024

System Maintenance Optimization Under Structural Dependency: A Dynamic Grouping Approach.
IEEE Syst. J., September, 2024

Quantum-enhanced measurement scheme for quadrature phase-shift-keying coherent states under thermal noise.
Quantum Inf. Process., June, 2024

Deeply Supervised Skin Lesions Diagnosis With Stage and Branch Attention.
IEEE J. Biomed. Health Informatics, February, 2024

Any region can be perceived equally and effectively on rotation pretext task using full rotation and weighted-region mixture.
Neural Networks, 2024

High-resolution cross-scale transformer: A deep learning model for bolt loosening detection based on monocular vision measurement.
Eng. Appl. Artif. Intell., 2024

Value Residual Learning For Alleviating Attention Concentration In Transformers.
CoRR, 2024

SiMilarity-Enhanced Homophily for Multi-View Heterophilous Graph Clustering.
CoRR, 2024

Gödel Incompleteness Theorem for PAC Learnable Theory.
CoRR, 2024

MedTsLLM: Leveraging LLMs for Multimodal Medical Time Series Analysis.
CoRR, 2024

SvANet: A Scale-variant Attention-based Network for Small Medical Object Segmentation.
CoRR, 2024

Spatially embedded transformer: A point cloud deep learning model for aero-engine coaxiality prediction based on virtual measurement.
Adv. Eng. Informatics, 2024

Rotation-Constrained Cross-View Feature Fusion for Multi-View Appearance-based Gaze Estimation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Dual-Optimized Adaptive Graph Reconstruction for Multi-View Graph Clustering.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Sosegformer: A Cross-Scale Feature Correlated Network For Small Medical Object Segmentation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Synthesizing Programmatic Policy for Generalization within Task Domain.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Automated Non-invasive Analysis of Motile Sperms Using Cross-scale Guidance Network.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

BiCAL: Bi-directional Contrastive Active Learning for Clinical Report Generation.
Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Research on electromagnetic vibration energy harvester for cloud-edge-end collaborative architecture in power grid.
J. Cloud Comput., December, 2023

Maintenance Optimization of k-Out-of-n Load-Sharing Systems Under Continuous Operation.
IEEE Trans. Syst. Man Cybern. Syst., October, 2023

Liquid Metal-Based Flexible Sensor for Perception of Force Magnitude, Location, and Contacting Orientation.
IEEE Trans. Instrum. Meas., 2023

A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adaptive Sparse ViT: Towards Learnable Adaptive Token Pruning by Fully Exploiting Self-Attention.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
Consensus Feature Network for Scene Parsing.
IEEE Trans. Multim., 2022

Fault Diagnosis for Power Transformers through Semi-Supervised Transfer Learning.
Sensors, 2022

Reliability evaluation of demand-based warm standby systems with capacity storage.
Reliab. Eng. Syst. Saf., 2022

Optimized decision strategy for quadrature phase-shift-keying unambiguous states discrimination.
Quantum Inf. Process., 2022

Heterogeneous Information Networks: the Past, the Present, and the Future.
Proc. VLDB Endow., 2022

Conv-Wake: A Lightweight Framework for Aircraft Wake Recognition.
J. Sensors, 2022

IGN : Implicit Generative Networks.
CoRR, 2022

HierAttn: Effectively Learn Representations from Stage Attention and Branch Attention for Skin Lesions Diagnosis.
CoRR, 2022

Feature Selective Transformer for Semantic Image Segmentation.
CoRR, 2022

AIMIC: Deep Learning for Microscopic Image Classification.
Comput. Methods Programs Biomed., 2022

Applying the quantum approximate optimization algorithm to the minimum vertex cover problem.
Appl. Soft Comput., 2022

CATrans: Context and Affinity Transformer for Few-Shot Segmentation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Region-level Contrastive and Consistency Learning for Semi-Supervised Semantic Segmentation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Dynamic Group Transformer: A General Vision Transformer Backbone with Dynamic Group Attention.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

IGN : Implicit Generative Networks.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Learning Video-Independent Eye Contact Segmentation from In-the-Wild Videos.
Proceedings of the Computer Vision - ACCV 2022, 2022

Pale Transformer: A General Vision Transformer Backbone with Pale-Shaped Attention.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
CGNet: A Light-Weight Context Guided Network for Semantic Segmentation.
IEEE Trans. Image Process., 2021

Prefixed-threshold real-time selection for correlated turbulent channel model for quantum key distribution with modulating retro-reflectors.
Quantum Inf. Process., 2021

Model Reduction Captures Stochastic Gamma Oscillations on Low-Dimensional Manifolds.
Frontiers Comput. Neurosci., 2021

Influence of Source Parameters on the Polarization Properties of Beams for Practical Free-Space Quantum Key Distribution.
Entropy, 2021

Free Space Measurement Device Independent Quantum Key Distribution with Modulating Retro-Reflectors under Correlated Turbulent Channel.
Entropy, 2021

Fully Transformer Networks for Semantic Image Segmentation.
CoRR, 2021

Sparse to Dense Motion Transfer for Face Image Animation.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
A novel degradation-rate-volatility related effect Wiener process model with its extension to accelerated ageing data analysis.
Reliab. Eng. Syst. Saf., 2020

Dynamic maintenance strategy with iteratively updated group information.
Reliab. Eng. Syst. Saf., 2020

Adam with Bandit Sampling for Deep Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Group Activity Matching with Blockchain Backed Credible Commitment.
Proceedings of the Internetware'20: 12th Asia-Pacific Symposium on Internetware, 2020

GINet: Graph Interaction Network for Scene Parsing.
Proceedings of the Computer Vision - ECCV 2020, 2020

Hierarchical Pyramid Diverse Attention Networks for Face Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
The decomposed normalized maximum likelihood code-length criterion for selecting hierarchical latent variable models.
Data Min. Knowl. Discov., 2019

Consensus Feature Network for Scene Parsing.
CoRR, 2019

UGAN: Untraceable GAN for Multi-Domain Face Translation.
CoRR, 2019

A Universal, Rapid and Accurate Measurement for Bend Tubes Based on Multi-View Vision.
IEEE Access, 2019

Tree-Structured Kronecker Convolutional Network for Semantic Segmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

A Bandit Approach to Maximum Inner Product Search.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
CGNet: A Light-weight Context Guided Network for Semantic Segmentation.
CoRR, 2018

2017
Decomposed Normalized Maximum Likelihood Codelength Criterion for Selecting Hierarchical Latent Variable Models.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2014
SLQ: a user-friendly graph querying system.
Proceedings of the International Conference on Management of Data, 2014

2011
PathSim: Meta Path-Based Top-K Similarity Search in Heterogeneous Information Networks.
Proc. VLDB Endow., 2011

2010
A Framework for Promotion Analysis in Multi-Dimensional Space
PhD thesis, 2010

Modeling Massive RFID Data Sets: A Gateway-Based Movement Graph Approach.
IEEE Trans. Knowl. Data Eng., 2010

Re-examination of interestingness measures in pattern mining: a unified framework.
Data Min. Knowl. Discov., 2010

Region-based online promotion analysis.
Proceedings of the EDBT 2010, 2010

Fast computation of SimRank for static and dynamic information networks.
Proceedings of the EDBT 2010, 2010

2009
iNextCube: Information Network-Enhanced Text Cube.
Proc. VLDB Endow., 2009

Promotion Analysis in Multi-Dimensional Space.
Proc. VLDB Endow., 2009

RankClus: integrating clustering with ranking for heterogeneous information network analysis.
Proceedings of the EDBT 2009, 2009

Subspace Discovery for Promotion: A Cell Clustering Approach.
Proceedings of the Discovery Science, 12th International Conference, 2009

2008
ARCube: supporting ranking aggregate queries in partially materialized data cubes.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

BibNetMiner: mining bibliographic information networks.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

2007
DataScope: Viewing Database Contents in Google Maps' Way.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

Association Mining in Large Databases: A Re-examination of Its Measures.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

2005
ADenTS: An Adaptive Density-Based Tree Structure for Approximating Aggregate Queries over Real Attributes.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

Constraint-Based Graph Mining in Large Database.
Proceedings of the Web Technologies Research and Development - APWeb 2005, 7th Asia-Pacific Web Conference, Shanghai, China, March 29, 2005


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