We stand with Ukraine

We stand with Ukraine

Tianshu Yu

Orcid: 0000-0002-6537-1924

Affiliations:

Chinese University of Hong Kong, Shenzhen, China
Arizona State University, Tempe, AZ, USA (PhD 2021)
University of Calgary, Department of Geomatics Engineering, AB, Canada (former)

According to our database¹, Tianshu Yu authored at least 50 papers between 2012 and 2025.

Collaborative distances:

Dijkstra number² of three.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

Online presence:

On csauthors.net:

Bibliography

2025

SDRNET: Stacked Deep Residual Network for Accurate Semantic Segmentation of Fine-Resolution Remotely Sensed Images.

[BibT_eX]

[DOI]

Naftaly Wambugu

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Mohammed A. M. Elhassan

CoRR, June, 2025

Neural Graduated Assignment for Maximum Common Edge Subgraphs.

[BibT_eX]

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CoRR, May, 2025

GraphOmni: A Comprehensive and Extendable Benchmark Framework for Large Language Models on Graph-theoretic Tasks.

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CoRR, April, 2025

Enhancing Molecular Conformer Generation via Fragment- Augmented Diffusion Pretraining.

[BibT_eX]

[DOI]

Xiaozhuang Song

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Trans. Mach. Learn. Res., 2025

Rethinking Spectral Augmentation for Contrast-based Graph Self-Supervised Learning.

[BibT_eX]

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Trans. Mach. Learn. Res., 2025

Efficient Training of Multi-task Neural Solver for Combinatorial Optimization.

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Trans. Mach. Learn. Res., 2025

Graph Learning with Distributional Edge Layouts.

[BibT_eX]

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Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory.

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Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Generating Physical Dynamics under Priors.

[BibT_eX]

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Proceedings of the Thirteenth International Conference on Learning Representations, 2025

ReKG-MCTS: Reinforcing LLM Reasoning on Knowledge Graphs via Training-Free Monte Carlo Tree Search.

[BibT_eX]

[DOI]

Xiaozhuang Song

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Proceedings of the Findings of the Association for Computational Linguistics, 2025

Enhancing Generalizability in Molecular Conformation Generation with METRIZATION-Informed Geometric Diffusion Pretraining.

[BibT_eX]

[DOI]

Xiaozhuang Song

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Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Efficient Neural Collaborative Search for Pickup and Delivery Problems.

[BibT_eX]

[DOI]

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IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

ASP: Learn a Universal Neural Solver!

[BibT_eX]

[DOI]

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Stephen McAleer

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IEEE Trans. Pattern Anal. Mach. Intell., June, 2024

NeuroLifting: Neural Inference on Markov Random Fields at Scale.

[BibT_eX]

[DOI]

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CoRR, 2024

Rethinking the "Heatmap + Monte Carlo Tree Search" Paradigm for Solving Large Scale TSP.

[BibT_eX]

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CoRR, 2024

Do spectral cues matter in contrast-based graph self-supervised learning?

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CoRR, 2024

On Diffusion Process in SE(3)-invariant Space.

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CoRR, 2024

Graph Learning with Distributional Edge Layouts.

[BibT_eX]

[DOI]

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CoRR, 2024

Towards Principled Task Grouping for Multi-Task Learning.

[BibT_eX]

[DOI]

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CoRR, 2024

Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory.

[BibT_eX]

[DOI]

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CoRR, 2024

Boosting Protein Language Models with Negative Sample Mining.

[BibT_eX]

[DOI]

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Xiaozhuang Song

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Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

Towards Robust Multimodal Sentiment Analysis with Incomplete Data.

[BibT_eX]

[DOI]

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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Boosting Graph Pooling with Persistent Homology.

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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Neural Enhanced Variational Bayesian Inference on Graphs for Localized Statistical Channel Modeling.

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[DOI]

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Tsung-Hui Chang

Proceedings of the IEEE International Conference on Communications, 2024

Single Cell Gene Expression Prediction via Prototype-based Proximal Neural Factorization.

[BibT_eX]

[DOI]

Xiaozhuang Song

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Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Learning to Boost Resilience of Complex Networks via Neural Edge Rewiring.

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Trans. Mach. Learn. Res., 2023

Molecular Conformation Generation via Shifting Scores.

[BibT_eX]

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CoRR, 2023

A Hierarchical Destroy and Repair Approach for Solving Very Large-Scale Travelling Salesman Problem.

[BibT_eX]

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CoRR, 2023

Efficient Training of Multi-task Neural Solver with Multi-armed Bandits.

[BibT_eX]

[DOI]

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CoRR, 2023

Learning to Decouple Complex Systems.

[BibT_eX]

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Proceedings of the International Conference on Machine Learning, 2023

Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment Analysis.

[BibT_eX]

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Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2021

Deep Latent Graph Matching.

[BibT_eX]

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Proceedings of the 38th International Conference on Machine Learning, 2021

Combinatorial Learning of Graph Edit Distance via Dynamic Embedding.

[BibT_eX]

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Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Variational Wasserstein Barycenters for Geometric Clustering.

[BibT_eX]

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CoRR, 2020

Recognizing Video Events with Varying Rhythms.

[BibT_eX]

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CoRR, 2020

Learning deep graph matching with channel-independent embedding and Hungarian attention.

[BibT_eX]

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Proceedings of the 8th International Conference on Learning Representations, 2020

Deep Learning of Determinantal Point Processes via Proper Spectral Sub-gradient.

[BibT_eX]

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Proceedings of the 8th International Conference on Learning Representations, 2020

RhyRNN: Rhythmic RNN for Recognizing Events in Long and Complex Videos.

[BibT_eX]

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Proceedings of the Computer Vision - ECCV 2020, 2020

Determinant Regularization for Gradient-Efficient Graph Matching.

[BibT_eX]

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Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Plan-Recognition-Driven Attention Modeling for Visual Recognition.

[BibT_eX]

[DOI]

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Subbarao Kambhampati

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CoRR, 2018

Weakly Supervised Attention Learning for Textual Phrases Grounding.

[BibT_eX]

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CoRR, 2018

Generalizing Graph Matching beyond Quadratic Assignment Model.

[BibT_eX]

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Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Incremental Multi-graph Matching via Diversity and Randomness Based Graph Clustering.

[BibT_eX]

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Proceedings of the Computer Vision - ECCV 2018, 2018

Joint Cuts and Matching of Partitions in One Graph.

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Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Simultaneous Event Localization and Recognition in Surveillance Video.

[BibT_eX]

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Proceedings of the 15th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2018

2016

Scene parsing using graph matching on street-view data.

[BibT_eX]

[DOI]

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Comput. Vis. Image Underst., 2016

Graph matching with low-rank regularization.

[BibT_eX]

[DOI]

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Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Enhancing scene parsing by transferring structures via efficient low-rank graph matching.

[BibT_eX]

[DOI]

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Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016

2015

Face recognition based on subset selection via metric learning on manifold.

[BibT_eX]

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Frontiers Inf. Technol. Electron. Eng., 2015

2012

Ribs segmentation based on image fusion and wavelet de-noising.

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Proceedings of the 5th International Conference on BioMedical Engineering and Informatics, 2012

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