Shengyin Sun

Orcid: 0000-0002-6687-6377

According to our database1, Shengyin Sun authored at least 12 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
PSD: Pushing the Pareto Frontier of Diffusion LLMs via Parallel Speculative Decoding.
CoRR, May, 2026

PHE: Structure and Semantic Enhanced Pre-Training of Graph Neural Networks for Large-Scale Heterogeneous Graphs.
ACM Trans. Knowl. Discov. Data, January, 2026

Revisiting Judge Decoding from First Principles via Training-Free Distributional Divergence.
CoRR, January, 2026

2025
Enhanced Pre-training of Graph Neural Networks for Million-Scale Heterogeneous Graphs.
CoRR, October, 2025

Scaling Up, Speeding Up: A Benchmark of Speculative Decoding for Efficient LLM Test-Time Scaling.
CoRR, September, 2025

Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs.
Proceedings of the Database Systems for Advanced Applications, 2025

GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion Generation.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Hyperbolic Contrastive Learning with Model-Augmentation for Knowledge-Aware Recommendation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track and Demo Track, 2024

2023
Hyperspectral subpixel target detection based on interaction subspace model.
Pattern Recognit., July, 2023

Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs.
CoRR, 2023

2021
Robust detection of distributed targets based on Rao test and Wald test.
Signal Process., 2021

2020
Rao Test With Improved Robustness for Range-Spread Target Detection.
Proceedings of the 28th European Signal Processing Conference, 2020


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