Juyong Jiang

Orcid: 0000-0003-0835-9686

According to our database¹, Juyong Jiang authored at least 29 papers between 2020 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Links

On csauthors.net:

Bibliography

2026

Federated Principal Component Analysis for Vertically Partitioned Data.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Dev. Syst., June, 2026

WebGen-R1: Incentivizing Large Language Models to Generate Functional and Aesthetic Websites with Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, April, 2026

CodePivot: Bootstrapping Multilingual Transpilation in LLMs via Reinforcement Learning without Parallel Corpora.

[BibT_eX]

[DOI]

CoRR, April, 2026

FourierMoE: Fourier Mixture-of-Experts Adaptation of Large Language Models.

[BibT_eX]

[DOI]

CoRR, April, 2026

ReflexiCoder: Teaching Large Language Models to Self-Reflect on Generated Code and Self-Correct It via Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, March, 2026

A Survey on Large Language Models for Code Generation.

[BibT_eX]

[DOI]

ACM Trans. Softw. Eng. Methodol., February, 2026

TAROT: Test-driven and Capability-adaptive Curriculum Reinforcement Fine-tuning for Code Generation with Large Language Models.

[BibT_eX]

[DOI]

CoRR, February, 2026

LLaDA2.1: Speeding Up Text Diffusion via Token Editing.

[BibT_eX]

[DOI]

CoRR, February, 2026

OSVBench: Benchmarking LLMs on Specification Generation Tasks for Operating System Verification.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

BigCodeArena: Unveiling More Reliable Human Preferences in Code Generation via Execution.

[BibT_eX]

[DOI]

Sabina Abdurakhmanova

CoRR, October, 2025

A Survey on Mixture of Experts in Large Language Models.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., July, 2025

Convolution Filter Compression via Sparse Linear Combinations of Quantized Basis.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., June, 2025

Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation With Pre-Training.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., May, 2025

ProfiX: Improving Profile-Guided Optimization in Compilers with Graph Neural Networks.

[BibT_eX]

[DOI]

Huiri Tan

Juyong Jiang

Jiasi Shen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Shortcut-connected Expert Parallelism for Accelerating Mixture of Experts.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to Small-Scale Local LLMs.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Compact Neural Network via Stacking Hybrid Units.

[BibT_eX]

[DOI]

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

A Survey on Mixture of Experts.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey on Large Language Models for Code Generation.

[BibT_eX]

[DOI]

CoRR, 2024

2023

AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Dynamic Adaptive and Adversarial Graph Convolutional Network for Traffic Forecasting.

[BibT_eX]

[DOI]

CoRR, 2022

AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation.

[BibT_eX]

[DOI]

CoRR, 2022

Compact Neural Networks via Stacking Designed Basic Units.

[BibT_eX]

[DOI]

Weichao Lan

Yiu-ming Cheung

Juyong Jiang

CoRR, 2022

Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data.

[BibT_eX]

[DOI]

CoRR, 2022

Feature-Balanced Loss for Long-Tailed Visual Recognition.

[BibT_eX]

[DOI]

Mengke Li

Yiu-Ming Cheung

Juyong Jiang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

2021

Sequential Recommendation with Bidirectional Chronological Augmentation of Transformer.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Cascaded Semantic and Positional Self-Attention Network for Document Classification.

[BibT_eX]

[DOI]

Juyong Jiang

Jie Zhang

Kai Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Juyong Jiang

Timeline

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On csauthors.net:

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