Shengyin Sun
Orcid: 0000-0002-6687-6377
According to our database1,
Shengyin Sun authored at least 12 papers
between 2020 and 2026.
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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
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
Pattern Recognit., July, 2023
CoRR, 2023
2021
Signal Process., 2021
2020
Proceedings of the 28th European Signal Processing Conference, 2020