Junyu Luo

Orcid: 0009-0001-6894-1144

Affiliations:
  • Peking University, Beijing, China
  • Beihang University, Institute of Artificial Intelligence, Beijing, China (former)


According to our database1, Junyu Luo authored at least 15 papers between 2020 and 2024.

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

Timeline

2020
2021
2022
2023
2024
0
5
10
6
4
1
2
2

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
GALA: Graph Diffusion-Based Alignment With Jigsaw for Source-Free Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response.
CoRR, 2024

SemiEvol: Semi-supervised Fine-tuning for LLM Adaptation.
CoRR, 2024

DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation.
CoRR, 2024

A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability.
CoRR, 2024

Towards Graph Contrastive Learning: A Survey and Beyond.
CoRR, 2024

EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

A Survey of Data-Efficient Graph Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Rank and Align: Towards Effective Source-free Graph Domain Adaptation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Multi- View Teacher with Curriculum Data Fusion for Robust Unsupervised Domain Adaptation.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2022
3D-SPS: Single-Stage 3D Visual Grounding via Referred Point Progressive Selection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
TransRefer3D: Entity-and-Relation Aware Transformer for Fine-Grained 3D Visual Grounding.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Accelerating CNN Training by Pruning Activation Gradients.
Proceedings of the Computer Vision - ECCV 2020, 2020

SparseTrain: Exploiting Dataflow Sparsity for Efficient Convolutional Neural Networks Training.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020


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