Juyong Jiang

According to our database, Juyong Jiang authored at least 20 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Survey on Mixture of Experts in Large Language Models.

Weilin Cai, Juyong Jiang, Fan Wang, Jing Tang, Sunghun Kim, Jiayi Huang

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

Convolution Filter Compression via Sparse Linear Combinations of Quantized Basis.

Weichao Lan, Yiu-Ming Cheung, Liang Lan, Juyong Jiang, Zhikai Hu

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

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

Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Sunghun Kim, Philip S. Yu

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

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

Shangyu Li, Juyong Jiang, Tiancheng Zhao, Jiasi Shen

CoRR, April, 2025

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

Fan Wang, Juyong Jiang, Chansung Park, Sunghun Kim, Jing Tang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Chansung Park, Juyong Jiang, Fan Wang, Sayak Paul, Jing Tang

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.

Weichao Lan, Yiu-Ming Cheung, Juyong Jiang, Zhikai Hu, Mengke Li

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

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

Chansung Park, Juyong Jiang, Fan Wang, Sayak Paul, Jing Tang

CoRR, 2024

A Survey on Mixture of Experts.

Weilin Cai, Juyong Jiang, Fan Wang, Jing Tang, Sunghun Kim, Jiayi Huang

CoRR, 2024

A Survey on Large Language Models for Code Generation.

Juyong Jiang, Fan Wang, Jiasi Shen, Sungju Kim, Sunghun Kim

CoRR, 2024

Shortcut-connected Expert Parallelism for Accelerating Mixture-of-Experts.

Weilin Cai, Juyong Jiang, Le Qin, Junwei Cui, Sunghun Kim, Jiayi Huang

CoRR, 2024

2023

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

Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Xing Xie, Sunghun Kim

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.

Juyong Jiang, Binqing Wu, Ling Chen, Kai Zhang, Sunghun Kim

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

2022

Dynamic Adaptive and Adversarial Graph Convolutional Network for Traffic Forecasting.

Juyong Jiang, Binqing Wu, Ling Chen, Sunghun Kim

CoRR, 2022

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

Juyong Jiang, Jae Boum Kim, Yingtao Luo, Kai Zhang, Sunghun Kim

CoRR, 2022

Compact Neural Networks via Stacking Designed Basic Units.

Weichao Lan, Yiu-ming Cheung, Juyong Jiang

CoRR, 2022

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

Yiu-ming Cheung, Juyong Jiang, Feng Yu, Jian Lou

CoRR, 2022

Feature-Balanced Loss for Long-Tailed Visual Recognition.

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.

Juyong Jiang, Yingtao Luo, Jae Boum Kim, Kai Zhang, Sunghun Kim

CoRR, 2021

2020

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

Juyong Jiang, Jie Zhang, Kai Zhang

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